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Breakout Volume Can Help Confirm Other SignalsVolume can help confirm signals we might discover using other methods of technical analysis. This indicator tracks volume intelligently. Its logic spots above-average turnover and then tests against the price change. BrkVol highlights sessions with heavy volume and directional moves. This can help take out the noise and help confirm the trend. Tesla is a classic example of this, with the stock rallying after showing heavy-volume gains on October 24- 25, December 16 and January 8.
Indicador Pine Script®
por TradeStation
6
Price Action Smart Money Concepts [BigBeluga]THE SMART MONEY CONCEPTS Toolkit The Smart Money Concepts [ BigBeluga ] is a comprehensive toolkit built around the principles of "smart money" behavior, which refers to the actions and strategies of institutional investors. The Smart Money Concepts Toolkit brings together a suite of advanced indicators that are all interconnected and built around a unified concept: understanding and trading like institutional investors, or "smart money." These indicators are not just randomly chosen tools; they are features of a single overarching framework, which is why having them all in one place creates such a powerful system. This all-in-one toolkit provides the user with a unique experience by automating most of the basic and advanced concepts on the chart, saving them time and improving their trading ideas. Real-time market structure analysis simplifies complex trends by pinpointing key support, resistance, and breakout levels. Advanced order block analysis leverages detailed volume data to pinpoint high-demand zones, revealing internal market sentiment and predicting potential reversals. This analysis utilizes bid/ask zones to provide supply/demand insights, empowering informed trading decisions. Imbalance Concepts (FVG and Breakers) allows traders to identify potential market weaknesses and areas where price might be attracted to fill the gap, creating opportunities for entry and exit. Swing failure patterns help traders identify potential entry points and rejection zones based on price swings. Liquidity Concepts, our advanced liquidity algorithm, pinpoints high-impact events, allowing you to predict market shifts, strong price reactions, and potential stop-loss hunting zones. This gives traders an edge to make informed trading decisions based on liquidity dynamics. 🔵 FEATURES The indicator has quite a lot of features that are provided below: Swing market structure Internal market structure Mapping structure Adjustable market structure Strong/Weak H&L Sweep Volumetric Order block / Breakers Fair Value Gaps / Breakers (multi-timeframe) Swing Failure Patterns (multi-timeframe) Deviation area Equal H&L Liquidity Prints Buyside & Sellside Sweep Area Highs and Lows (multi-timeframe) 🔵 BASIC DEMONSTRATION OF ALL FEATURES 1. MARKET STRUCTURE The preceding image illustrates the market structure functionality within the Smart Money Concepts indicator. ➤ Solid lines: These represent the core indicator's internal structure, forming the foundation for most other components. They visually depict the overall market direction and identify major reversal points marked by significant price movements (denoted as 'x'). ➤ Internal Structure: These represent an alternative internal structure with the potential to drive more rapid market shifts. This is particularly relevant when a significant gap exists in the established swing structure, specifically between the Break of Structure (BOS) and the most recent Change of High/Low (CHoCH). Identifying these formations can offer opportunities for quicker entries and potential short-term reversals. ➤ Sweeps (x): These signify potential turning points in the market where liquidity is removed from the structure. This suggests a possible trend reversal and presents crucial entry opportunities. Sweeps are identified within both swing and internal structures, providing valuable insights for informed trading decisions. ➤ Mapping structure: A tool that automatically identifies and connects significant price highs and lows, creating a zig-zag pattern. It visualizes market structure, highlights trends, support/resistance levels, and potential breakouts. Helps traders quickly grasp price action patterns and make informed decisions. ➤ Color-coded candles based on market structure: These colors visually represent the underlying market structure, making it easier for traders to quickly identify trends. ➤ Extreme H&L: It visualizes market structure with extreme high and lows, which gives perspective for macro Market Structure. 2. VOLUMETRIC ORDER BLOCKS Order blocks are specific areas on a financial chart where significant buying or selling activity has occurred. These are not just simple zones; they contain valuable information about market dynamics. Within each of these order blocks, volume bars represent the actual buying and selling activity that took place. These volume bars offer deeper insights into the strength of the order block by showing how much buying or selling power is concentrated in that specific zone. Additionally, these order blocks can be transformed into Breaker Blocks. When an order block fails—meaning the price breaks through this zone without reversing—it becomes a breaker block. Breaker blocks are particularly useful for trading breakouts, as they signal that the market has shifted beyond a previously established zone, offering opportunities for traders to enter in the direction of the breakout. Here's a breakdown: ➤ Bear Order Blocks (Red): These are zones where a lot of selling happened. Traders see these areas as places where sellers were strong, pushing the price down. When the price returns to these zones, it might face resistance and drop again. ➤ Bull Order Blocks (Green): These are zones where a lot of buying happened. Traders see these areas as places where buyers were strong, pushing the price up. When the price returns to these zones, it might find support and rise again. These Order Blocks help traders identify potential areas for entering or exiting trades based on past market activity. The volume bars inside blocks show the amount of trading activity that occurred in these blocks, giving an idea of the strength of buying or selling pressure. ➤ Breaker Block: When an order block fails, meaning the price breaks through this zone without reversing, it becomes a breaker block. This indicates a significant shift in market liquidity and structure. ➤ A bearish breaker block occurs after a bullish order block fails. This typically happens when there's an upward trend, and a certain level that was expected to support the market's rise instead gives way, leading to a sharp decline. This decline indicates that sellers have overcome the buyers, absorbing liquidity and shifting the sentiment from bullish to bearish. Conversely, a bullish breaker block is formed from the failure of a bearish order block. In a downtrend, when a level that was expected to act as resistance is breached, and the price shoots up, it signifies that buyers have taken control, overpowering the sellers. 3. FAIR VALUE GAPS: A fair value gap (FVG), also referred to as an imbalance, is an essential concept in Smart Money trading. It highlights the supply and demand dynamics. This gap arises when there's a notable difference between the volume of buy and sell orders. FVGs can be found across various asset classes, including forex, commodities, stocks, and cryptocurrencies. FVGs in this toolkit have the ability to detect raids of FVG which helps to identify potential price reversals. Mitigation option helps to change from what source FVGs will be identified: Close, Wicks or AVG. 4. SWING FAILURE PATTERN (SFP): The Swing Failure Pattern is a liquidity engineering pattern, generally used to fill large orders. This means, the SFP generally occurs when larger players push the price into liquidity pockets with the sole objective of filling their own positions. SFP is a technical analysis tool designed to identify potential market reversals. It works by detecting instances where the price briefly breaks a previous high or low but fails to maintain that breakout, quickly reversing direction. How it works: Pattern Detection: The indicator scans for price movements that breach recent highs or lows. Reversal Confirmation: If the price quickly reverses after breaching these levels, it's identified as an SFP. ➤ SFP Display: Bullish SFP: Marked with a green symbol when price drops below a recent low before reversing upwards. Bearish SFP: Marked with a red symbol when price rises above a recent high before reversing downwards. ➤ Deviation Levels: After detecting an SFP, the indicator projects white lines showing potential price deviation: For bullish SFPs, the deviation line appears above the current price. For bearish SFPs, the deviation line appears below the current price. These deviation levels can serve as a potential trading opportunity or areas where the reversal might lose momentum. With Volume Threshold and Filtering of SFP traders can adjust their trading style: Volume Threshold: This setting allows traders to filter SFPs based on the volume of the reversal candle. By setting a higher volume threshold, traders can focus on potentially more significant reversals that are backed by higher trading activity. SFP Filtering: This feature enables traders to filter SFP detection. It includes parameters such as: 5. LIQUIDITY CONCEPTS: ➤ Equal Lows (EQL) and Equal Highs (EQH) are important concepts in liquidity-based trading. EQL: A series of two or more swing lows that occur at approximately the same price level. EQH: A series of two or more swing highs that occur at approximately the same price level. EQLs and EQHs are seen as potential liquidity pools where a large number of stop loss orders or limit orders may be clustered. They can be used as potential reverse points for trades. This multi-period feature allows traders to select less and more significant EQL and EQH: ➤ Liquidity wicks: Liquidity wicks are a minor representation of a stop-loss hunt during the retracement of a pivot point: ➤ Buy and Sell side liquidity: The buy side liquidity represents a concentration of potential buy orders below the current price level. When price moves into this area, it can lead to increased buying pressure due to the execution of these orders. The sell side liquidity indicates a pool of potential sell orders below the current price level. Price movement into this area can result in increased selling pressure as these orders are executed. ➤ Sweep Liquidation Zones: Sweep Liquidation Zones are crucial for understanding market structure and potential future price movements. They provide insights into areas where significant market participants have been forced out of their positions, potentially setting up new trading opportunities. 🔵 USAGE & EXAMPLES The core principle behind the success of this toolkit lies in identifying "confluence." This refers to the convergence of multiple trading indicators all signaling the same information at a specific point or area. By seeking such alignment, traders can significantly enhance the likelihood of successful trades. MS + OBs The chart illustrates a highly bullish setup where the price is rejecting from a bullish order block (POC), while simultaneously forming a bullish Swing Failure Pattern (SFP). This occurs after an internal structure change, marked by a bullish Change of Character (CHoCH). The price broke through a bearish order block, transforming it into a breaker block, further confirming the bullish momentum. The combination of these elements—bullish order blocks, SFP, and CHoCH—creates a powerful bullish signal, reinforcing the potential for upward movement in the market. SFP + Bear OB This chart above displays a bearish setup with a high probability of a price move lower. The price is currently rejecting from a bear order block, which represents a key resistance area where significant selling pressure has previously occurred. A Swing Failure Pattern (SFP) has also formed near this bear order block, indicating that the price briefly attempted to break above a recent high but failed to sustain that upward movement. This failure suggests that buyers are losing momentum, and the market could be preparing for a move to the downside. Additionally, we can toggle on the Deviation Area in the SFP section to highlight potential levels where price deviation might occur. These deviation areas represent zones where the price is likely to react after the Swing Failure Pattern: BUY – SELL sides + EQL The chart showcases a bullish setup with a high probability of price breaking out of the current sell-side resistance level. The market structure indicates a formation of Equal Lows (EQL), which often suggests a build-up of liquidity that could drive the price higher. The presence of strong buy-side pressure (69%), indicated by the green zone at the bottom, reinforces this bullish outlook. This area represents a key support zone where buyers are outpacing sellers, providing the foundation for a potential upward breakout. EQL + Bull ChoCh This chart illustrates a potential bullish setup, driven by the formation of Equal Lows (EQL) followed by a bullish Change of Character (CHoCH). The presence of Equal Lows often signals a liquidity build-up, which can lead to a reversal when combined with additional bullish signals. Liquidity grab + Bull ChoCh + FVGs This chart demonstrates a strong bullish scenario, where several important market dynamics are at play. The price begins its upward momentum from Liquidity grab following a bullish Change of Character (CHoCH), signaling the transition from a bearish phase to a bullish one. As the price progresses, it performs liquidity grabs, which serve to gather the necessary fuel for further movement. These liquidity grabs often occur before significant price surges, as large market participants exploit these areas to accumulate positions before pushing the price higher. The chart also highlights a market imbalance area, showing strong momentum as the price moves swiftly through this zone. In this examples, we see how the combination of multiple “smart money” tools helps identify a potential trade opportunities. This is just one of the many scenarios that traders can spot using this toolkit. Other combinations—such as order blocks, liquidity grabs, fair value gaps, and Swing Failure Patterns (SFPs)—can also be layered on top of these concepts to further refine your trading strategy. 🔵 SETTINGS Window: limit calculation period Swing: limit drawing function Mapping structure: show structural points Algorithmic Logic: (Extreme-Adjusted) Use max high/low or pivot point calculation Algorithmic loopback: pivot point look back Show Last: Amount of Order block to display Hide Overlap: hide overlapping order blocks Construction: Size of the order blocks Fair value gaps: Choose between normal FVG or Breaker FVG Mitigation: (close - wick - avg) point to mitigate the order block/imbalance SFP lookback: find a higher / lower point to improve accuracy Threshold: remove less relevant SFP Equal H&L: (short-mid-long term) display longer term Liquidity Prints: Shows wicks of candles where liquidity was grabbed Sweep Area: Identify Sweep Liquidation areas By combining these indicators in one toolkit, traders are equipped with a comprehensive suite of tools that address every angle of the Smart Money Concept. Instead of relying on disparate tools spread across various platforms, having them integrated into a single, cohesive system allows traders to easily see confluence and make more informed trading decisions.
Indicador Pine Script®
por BigBeluga
128
ATAI Volume analysis with price action V 1.00ATAI Volume Analysis with Price Action 1. Introduction 1.1 Overview ATAI Volume Analysis with Price Action is a composite indicator designed for TradingView. It combines per‑side volume data —that is, how much buying and selling occurs during each bar—with standard price‑structure elements such as swings, trend lines and support/resistance. By blending these elements the script aims to help a trader understand which side is in control, whether a breakout is genuine, when markets are potentially exhausted and where liquidity providers might be active. The indicator is built around TradingView’s up/down volume feed accessed via the TradingView/ta/10 library. The following excerpt from the script illustrates how this feed is configured: import TradingView/ta/10 as tvta // Determine lower timeframe string based on user choice and chart resolution string lower_tf_breakout = use_custom_tf_input ? custom_tf_input : timeframe.isseconds ? "1S" : timeframe.isintraday ? "1" : timeframe.isdaily ? "5" : "60" // Request up/down volume (both positive) = tvta.requestUpAndDownVolume(lower_tf_breakout) Lower‑timeframe selection. If you do not specify a custom lower timeframe, the script chooses a default based on your chart resolution: 1 second for second charts, 1 minute for intraday charts, 5 minutes for daily charts and 60 minutes for anything longer. Smaller intervals provide a more precise view of buyer and seller flow but cover fewer bars. Larger intervals cover more history at the cost of granularity. Tick vs. time bars. Many trading platforms offer a tick / intrabar calculation mode that updates an indicator on every trade rather than only on bar close. Turning on one‑tick calculation will give the most accurate split between buy and sell volume on the current bar, but it typically reduces the amount of historical data available. For the highest fidelity in live trading you can enable this mode; for studying longer histories you might prefer to disable it. When volume data is completely unavailable (some instruments and crypto pairs), all modules that rely on it will remain silent and only the price‑structure backbone will operate. Figure caption, Each panel shows the indicator’s info table for a different volume sampling interval. In the left chart, the parentheses “(5)” beside the buy‑volume figure denote that the script is aggregating volume over five‑minute bars; the center chart uses “(1)” for one‑minute bars; and the right chart uses “(1T)” for a one‑tick interval. These notations tell you which lower timeframe is driving the volume calculations. Shorter intervals such as 1 minute or 1 tick provide finer detail on buyer and seller flow, but they cover fewer bars; longer intervals like five‑minute bars smooth the data and give more history. Figure caption, The values in parentheses inside the info table come directly from the Breakout — Settings. The first row shows the custom lower-timeframe used for volume calculations (e.g., “(1)”, “(5)”, or “(1T)”) 2. Price‑Structure Backbone Even without volume, the indicator draws structural features that underpin all other modules. These features are always on and serve as the reference levels for subsequent calculations. 2.1 What it draws • Pivots: Swing highs and lows are detected using the pivot_left_input and pivot_right_input settings. A pivot high is identified when the high recorded pivot_right_input bars ago exceeds the highs of the preceding pivot_left_input bars and is also higher than (or equal to) the highs of the subsequent pivot_right_input bars; pivot lows follow the inverse logic. The indicator retains only a fixed number of such pivot points per side, as defined by point_count_input, discarding the oldest ones when the limit is exceeded. • Trend lines: For each side, the indicator connects the earliest stored pivot and the most recent pivot (oldest high to newest high, and oldest low to newest low). When a new pivot is added or an old one drops out of the lookback window, the line’s endpoints—and therefore its slope—are recalculated accordingly. • Horizontal support/resistance: The highest high and lowest low within the lookback window defined by length_input are plotted as horizontal dashed lines. These serve as short‑term support and resistance levels. • Ranked labels: If showPivotLabels is enabled the indicator prints labels such as “HH1”, “HH2”, “LL1” and “LL2” near each pivot. The ranking is determined by comparing the price of each stored pivot: HH1 is the highest high, HH2 is the second highest, and so on; LL1 is the lowest low, LL2 is the second lowest. In the case of equal prices the newer pivot gets the better rank. Labels are offset from price using ½ × ATR × label_atr_multiplier, with the ATR length defined by label_atr_len_input. A dotted connector links each label to the candle’s wick. 2.2 Key settings • length_input: Window length for finding the highest and lowest values and for determining trend line endpoints. A larger value considers more history and will generate longer trend lines and S/R levels. • pivot_left_input, pivot_right_input: Strictness of swing confirmation. Higher values require more bars on either side to form a pivot; lower values create more pivots but may include minor swings. • point_count_input: How many pivots are kept in memory on each side. When new pivots exceed this number the oldest ones are discarded. • label_atr_len_input and label_atr_multiplier: Determine how far pivot labels are offset from the bar using ATR. Increasing the multiplier moves labels further away from price. • Styling inputs for trend lines, horizontal lines and labels (color, width and line style). Figure caption, The chart illustrates how the indicator’s price‑structure backbone operates. In this daily example, the script scans for bars where the high (or low) pivot_right_input bars back is higher (or lower) than the preceding pivot_left_input bars and higher or lower than the subsequent pivot_right_input bars; only those bars are marked as pivots. These pivot points are stored and ranked: the highest high is labelled “HH1”, the second‑highest “HH2”, and so on, while lows are marked “LL1”, “LL2”, etc. Each label is offset from the price by half of an ATR‑based distance to keep the chart clear, and a dotted connector links the label to the actual candle. The red diagonal line connects the earliest and latest stored high pivots, and the green line does the same for low pivots; when a new pivot is added or an old one drops out of the lookback window, the end‑points and slopes adjust accordingly. Dashed horizontal lines mark the highest high and lowest low within the current lookback window, providing visual support and resistance levels. Together, these elements form the structural backbone that other modules reference, even when volume data is unavailable. 3. Breakout Module 3.1 Concept This module confirms that a price break beyond a recent high or low is supported by a genuine shift in buying or selling pressure. It requires price to clear the highest high (“HH1”) or lowest low (“LL1”) and, simultaneously, that the winning side shows a significant volume spike, dominance and ranking. Only when all volume and price conditions pass is a breakout labelled. 3.2 Inputs • lookback_break_input : This controls the number of bars used to compute moving averages and percentiles for volume. A larger value smooths the averages and percentiles but makes the indicator respond more slowly. • vol_mult_input : The “spike” multiplier; the current buy or sell volume must be at least this multiple of its moving average over the lookback window to qualify as a breakout. • rank_threshold_input (0–100) : Defines a volume percentile cutoff: the current buyer/seller volume must be in the top (100−threshold)%(100−threshold)% of all volumes within the lookback window. For example, if set to 80, the current volume must be in the top 20 % of the lookback distribution. • ratio_threshold_input (0–1) : Specifies the minimum share of total volume that the buyer (for a bullish breakout) or seller (for bearish) must hold on the current bar; the code also requires that the cumulative buyer volume over the lookback window exceeds the seller volume (and vice versa for bearish cases). • use_custom_tf_input / custom_tf_input : When enabled, these inputs override the automatic choice of lower timeframe for up/down volume; otherwise the script selects a sensible default based on the chart’s timeframe. • Label appearance settings : Separate options control the ATR-based offset length, offset multiplier, label size and colors for bullish and bearish breakout labels, as well as the connector style and width. 3.3 Detection logic 1. Data preparation : Retrieve per‑side volume from the lower timeframe and take absolute values. Build rolling arrays of the last lookback_break_input values to compute simple moving averages (SMAs), cumulative sums and percentile ranks for buy and sell volume. 2. Volume spike: A spike is flagged when the current buy (or, in the bearish case, sell) volume is at least vol_mult_input times its SMA over the lookback window. 3. Dominance test: The buyer’s (or seller’s) share of total volume on the current bar must meet or exceed ratio_threshold_input. In addition, the cumulative sum of buyer volume over the window must exceed the cumulative sum of seller volume for a bullish breakout (and vice versa for bearish). A separate requirement checks the sign of delta: for bullish breakouts delta_breakout must be non‑negative; for bearish breakouts it must be non‑positive. 4. Percentile rank: The current volume must fall within the top (100 – rank_threshold_input) percent of the lookback distribution—ensuring that the spike is unusually large relative to recent history. 5. Price test: For a bullish signal, the closing price must close above the highest pivot (HH1); for a bearish signal, the close must be below the lowest pivot (LL1). 6. Labeling: When all conditions above are satisfied, the indicator prints “Breakout ↑” above the bar (bullish) or “Breakout ↓” below the bar (bearish). Labels are offset using half of an ATR‑based distance and linked to the candle with a dotted connector. Figure caption, (Breakout ↑ example) , On this daily chart, price pushes above the red trendline and the highest prior pivot (HH1). The indicator recognizes this as a valid breakout because the buyer‑side volume on the lower timeframe spikes above its recent moving average and buyers dominate the volume statistics over the lookback period; when combined with a close above HH1, this satisfies the breakout conditions. The “Breakout ↑” label appears above the candle, and the info table highlights that up‑volume is elevated relative to its 11‑bar average, buyer share exceeds the dominance threshold and money‑flow metrics support the move. Figure caption, In this daily example, price breaks below the lowest pivot (LL1) and the lower green trendline. The indicator identifies this as a bearish breakout because sell‑side volume is sharply elevated—about twice its 11‑bar average—and sellers dominate both the bar and the lookback window. With the close falling below LL1, the script triggers a Breakout ↓ label and marks the corresponding row in the info table, which shows strong down volume, negative delta and a seller share comfortably above the dominance threshold. 4. Market Phase Module (Volume Only) 4.1 Concept Not all markets trend; many cycle between periods of accumulation (buying pressure building up), distribution (selling pressure dominating) and neutral behavior. This module classifies the current bar into one of these phases without using ATR , relying solely on buyer and seller volume statistics. It looks at net flows, ratio changes and an OBV‑like cumulative line with dual‑reference (1‑ and 2‑bar) trends. The result is displayed both as on‑chart labels and in a dedicated row of the info table. 4.2 Inputs • phase_period_len: Number of bars over which to compute sums and ratios for phase detection. • phase_ratio_thresh : Minimum buyer share (for accumulation) or minimum seller share (for distribution, derived as 1 − phase_ratio_thresh) of the total volume. • strict_mode: When enabled, both the 1‑bar and 2‑bar changes in each statistic must agree on the direction (strict confirmation); when disabled, only one of the two references needs to agree (looser confirmation). • Color customisation for info table cells and label styling for accumulation and distribution phases, including ATR length, multiplier, label size, colors and connector styles. • show_phase_module: Toggles the entire phase detection subsystem. • show_phase_labels: Controls whether on‑chart labels are drawn when accumulation or distribution is detected. 4.3 Detection logic The module computes three families of statistics over the volume window defined by phase_period_len: 1. Net sum (buyers minus sellers): net_sum_phase = Σ(buy) − Σ(sell). A positive value indicates a predominance of buyers. The code also computes the differences between the current value and the values 1 and 2 bars ago (d_net_1, d_net_2) to derive up/down trends. 2. Buyer ratio: The instantaneous ratio TF_buy_breakout / TF_tot_breakout and the window ratio Σ(buy) / Σ(total). The current ratio must exceed phase_ratio_thresh for accumulation or fall below 1 − phase_ratio_thresh for distribution. The first and second differences of the window ratio (d_ratio_1, d_ratio_2) determine trend direction. 3. OBV‑like cumulative net flow: An on‑balance volume analogue obv_net_phase increments by TF_buy_breakout − TF_sell_breakout each bar. Its differences over the last 1 and 2 bars (d_obv_1, d_obv_2) provide trend clues. The algorithm then combines these signals: • For strict mode , accumulation requires: (a) current ratio ≥ threshold, (b) cumulative ratio ≥ threshold, (c) both ratio differences ≥ 0, (d) net sum differences ≥ 0, and (e) OBV differences ≥ 0. Distribution is the mirror case. • For loose mode , it relaxes the directional tests: either the 1‑ or the 2‑bar difference needs to agree in each category. If all conditions for accumulation are satisfied, the phase is labelled “Accumulation” ; if all conditions for distribution are satisfied, it’s labelled “Distribution” ; otherwise the phase is “Neutral” . 4.4 Outputs • Info table row : Row 8 displays “Market Phase (Vol)” on the left and the detected phase (Accumulation, Distribution or Neutral) on the right. The text colour of both cells matches a user‑selectable palette (typically green for accumulation, red for distribution and grey for neutral). • On‑chart labels : When show_phase_labels is enabled and a phase persists for at least one bar, the module prints a label above the bar ( “Accum” ) or below the bar ( “Dist” ) with a dashed or dotted connector. The label is offset using ATR based on phase_label_atr_len_input and phase_label_multiplier and is styled according to user preferences. Figure caption, The chart displays a red “Dist” label above a particular bar, indicating that the accumulation/distribution module identified a distribution phase at that point. The detection is based on seller dominance: during that bar, the net buyer-minus-seller flow and the OBV‑style cumulative flow were trending down, and the buyer ratio had dropped below the preset threshold. These conditions satisfy the distribution criteria in strict mode. The label is placed above the bar using an ATR‑based offset and a dashed connector. By the time of the current bar in the screenshot, the phase indicator shows “Neutral” in the info table—signaling that neither accumulation nor distribution conditions are currently met—yet the historical “Dist” label remains to mark where the prior distribution phase began. Figure caption, In this example the market phase module has signaled an Accumulation phase. Three bars before the current candle, the algorithm detected a shift toward buyers: up‑volume exceeded its moving average, down‑volume was below average, and the buyer share of total volume climbed above the threshold while the on‑balance net flow and cumulative ratios were trending upwards. The blue “Accum” label anchored below that bar marks the start of the phase; it remains on the chart because successive bars continue to satisfy the accumulation conditions. The info table confirms this: the “Market Phase (Vol)” row still reads Accumulation, and the ratio and sum rows show buyers dominating both on the current bar and across the lookback window. 5. OB/OS Spike Module 5.1 What overbought/oversold means here In many markets, a rapid extension up or down is often followed by a period of consolidation or reversal. The indicator interprets overbought (OB) conditions as abnormally strong selling risk at or after a price rally and oversold (OS) conditions as unusually strong buying risk after a decline. Importantly, these are not direct trade signals; rather they flag areas where caution or contrarian setups may be appropriate. 5.2 Inputs • minHits_obos (1–7): Minimum number of oscillators that must agree on an overbought or oversold condition for a label to print. • syncWin_obos: Length of a small sliding window over which oscillator votes are smoothed by taking the maximum count observed. This helps filter out choppy signals. • Volume spike criteria: kVolRatio_obos (ratio of current volume to its SMA) and zVolThr_obos (Z‑score threshold) across volLen_obos. Either threshold can trigger a spike. • Oscillator toggles and periods: Each of RSI, Stochastic (K and D), Williams %R, CCI, MFI, DeMarker and Stochastic RSI can be independently enabled; their periods are adjustable. • Label appearance: ATR‑based offset, size, colors for OB and OS labels, plus connector style and width. 5.3 Detection logic 1. Directional volume spikes: Volume spikes are computed separately for buyer and seller volumes. A sell volume spike (sellVolSpike) flags a potential OverBought bar, while a buy volume spike (buyVolSpike) flags a potential OverSold bar. A spike occurs when the respective volume exceeds kVolRatio_obos times its simple moving average over the window or when its Z‑score exceeds zVolThr_obos. 2. Oscillator votes: For each enabled oscillator, calculate its overbought and oversold state using standard thresholds (e.g., RSI ≥ 70 for OB and ≤ 30 for OS; Stochastic %K/%D ≥ 80 for OB and ≤ 20 for OS; etc.). Count how many oscillators vote for OB and how many vote for OS. 3. Minimum hits: Apply the smoothing window syncWin_obos to the vote counts using a maximum‑of‑last‑N approach. A candidate bar is only considered if the smoothed OB hit count ≥ minHits_obos (for OverBought) or the smoothed OS hit count ≥ minHits_obos (for OverSold). 4. Tie‑breaking: If both OverBought and OverSold spike conditions are present on the same bar, compare the smoothed hit counts: the side with the higher count is selected; ties default to OverBought. 5. Label printing: When conditions are met, the bar is labelled as “OverBought X/7” above the candle or “OverSold X/7” below it. “X” is the number of oscillators confirming, and the bracket lists the abbreviations of contributing oscillators. Labels are offset from price using half of an ATR‑scaled distance and can optionally include a dotted or dashed connector line. Figure caption, In this chart the overbought/oversold module has flagged an OverSold signal. A sell‑off from the prior highs brought price down to the lower trend‑line, where the bar marked “OverSold 3/7 DeM” appears. This label indicates that on that bar the module detected a buy‑side volume spike and that at least three of the seven enabled oscillators—in this case including the DeMarker—were in oversold territory. The label is printed below the candle with a dotted connector, signaling that the market may be temporarily exhausted on the downside. After this oversold print, price begins to rebound towards the upper red trend‑line and higher pivot levels. Figure caption, This example shows the overbought/oversold module in action. In the left‑hand panel you can see the OB/OS settings where each oscillator (RSI, Stochastic, Williams %R, CCI, MFI, DeMarker and Stochastic RSI) can be enabled or disabled, and the ATR length and label offset multiplier adjusted. On the chart itself, price has pushed up to the descending red trendline and triggered an “OverBought 3/7” label. That means the sell‑side volume spiked relative to its average and three out of the seven enabled oscillators were in overbought territory. The label is offset above the candle by half of an ATR and connected with a dashed line, signaling that upside momentum may be overextended and a pause or pullback could follow. 6. Buyer/Seller Trap Module 6.1 Concept A bull trap occurs when price appears to break above resistance, attracting buyers, but fails to sustain the move and quickly reverses, leaving a long upper wick and trapping late entrants. A bear trap is the opposite: price breaks below support, lures in sellers, then snaps back, leaving a long lower wick and trapping shorts. This module detects such traps by looking for price structure sweeps, order‑flow mismatches and dominance reversals. It uses a scoring system to differentiate risk from confirmed traps. 6.2 Inputs • trap_lookback_len: Window length used to rank extremes and detect sweeps. • trap_wick_threshold: Minimum proportion of a bar’s range that must be wick (upper for bull traps, lower for bear traps) to qualify as a sweep. • trap_score_risk: Minimum aggregated score required to flag a trap risk. (The code defines a trap_score_confirm input, but confirmation is actually based on price reversal rather than a separate score threshold.) • trap_confirm_bars: Maximum number of bars allowed for price to reverse and confirm the trap. If price does not reverse in this window, the risk label will expire or remain unconfirmed. • Label settings: ATR length and multiplier for offsetting, size, colours for risk and confirmed labels, and connector style and width. Separate settings exist for bull and bear traps. • Toggle inputs: show_trap_module and show_trap_labels enable the module and control whether labels are drawn on the chart. 6.3 Scoring logic The module assigns points to several conditions and sums them to determine whether a trap risk is present. For bull traps, the score is built from the following (bear traps mirror the logic with highs and lows swapped): 1. Sweep (2 points): Price trades above the high pivot (HH1) but fails to close above it and leaves a long upper wick at least trap_wick_threshold × range. For bear traps, price dips below the low pivot (LL1), fails to close below and leaves a long lower wick. 2. Close break (1 point): Price closes beyond HH1 or LL1 without leaving a long wick. 3. Candle/delta mismatch (2 points): The candle closes bullish yet the order flow delta is negative or the seller ratio exceeds 50%, indicating hidden supply. Conversely, a bearish close with positive delta or buyer dominance suggests hidden demand. 4. Dominance inversion (2 points): The current bar’s buyer volume has the highest rank in the lookback window while cumulative sums favor sellers, or vice versa. 5. Low‑volume break (1 point): Price crosses the pivot but total volume is below its moving average. The total score for each side is compared to trap_score_risk. If the score is high enough, a “Bull Trap Risk” or “Bear Trap Risk” label is drawn, offset from the candle by half of an ATR‑scaled distance using a dashed outline. If, within trap_confirm_bars, price reverses beyond the opposite level—drops back below the high pivot for bull traps or rises above the low pivot for bear traps—the label is upgraded to a solid “Bull Trap” or “Bear Trap” . In this version of the code, there is no separate score threshold for confirmation: the variable trap_score_confirm is unused; confirmation depends solely on a successful price reversal within the specified number of bars. Figure caption, In this example the trap module has flagged a Bear Trap Risk. Price initially breaks below the most recent low pivot (LL1), but the bar closes back above that level and leaves a long lower wick, suggesting a failed push lower. Combined with a mismatch between the candle direction and the order flow (buyers regain control) and a reversal in volume dominance, the aggregate score exceeds the risk threshold, so a dashed “Bear Trap Risk” label prints beneath the bar. The green and red trend lines mark the current low and high pivot trajectories, while the horizontal dashed lines show the highest and lowest values in the lookback window. If, within the next few bars, price closes decisively above the support, the risk label would upgrade to a solid “Bear Trap” label. Figure caption, In this example the trap module has identified both ends of a price range. Near the highs, price briefly pushes above the descending red trendline and the recent pivot high, but fails to close there and leaves a noticeable upper wick. That combination of a sweep above resistance and order‑flow mismatch generates a Bull Trap Risk label with a dashed outline, warning that the upside break may not hold. At the opposite extreme, price later dips below the green trendline and the labelled low pivot, then quickly snaps back and closes higher. The long lower wick and subsequent price reversal upgrade the previous bear‑trap risk into a confirmed Bear Trap (solid label), indicating that sellers were caught on a false breakdown. Horizontal dashed lines mark the highest high and lowest low of the lookback window, while the red and green diagonals connect the earliest and latest pivot highs and lows to visualize the range. 7. Sharp Move Module 7.1 Concept Markets sometimes display absorption or climax behavior—periods when one side steadily gains the upper hand before price breaks out with a sharp move. This module evaluates several order‑flow and volume conditions to anticipate such moves. Users can choose how many conditions must be met to flag a risk and how many (plus a price break) are required for confirmation. 7.2 Inputs • sharp Lookback: Number of bars in the window used to compute moving averages, sums, percentile ranks and reference levels. • sharpPercentile: Minimum percentile rank for the current side’s volume; the current buy (or sell) volume must be greater than or equal to this percentile of historical volumes over the lookback window. • sharpVolMult: Multiplier used in the volume climax check. The current side’s volume must exceed this multiple of its average to count as a climax. • sharpRatioThr: Minimum dominance ratio (current side’s volume relative to the opposite side) used in both the instant and cumulative dominance checks. • sharpChurnThr: Maximum ratio of a bar’s range to its ATR for absorption/churn detection; lower values indicate more absorption (large volume in a small range). • sharpScoreRisk: Minimum number of conditions that must be true to print a risk label. • sharpScoreConfirm: Minimum number of conditions plus a price break required for confirmation. • sharpCvdThr: Threshold for cumulative delta divergence versus price change (positive for bullish accumulation, negative for bearish distribution). • Label settings: ATR length (sharpATRlen) and multiplier (sharpLabelMult) for positioning labels, label size, colors and connector styles for bullish and bearish sharp moves. • Toggles: enableSharp activates the module; show_sharp_labels controls whether labels are drawn. 7.3 Conditions (six per side) For each side, the indicator computes six boolean conditions and sums them to form a score: 1. Dominance (instant and cumulative): – Instant dominance: current buy volume ≥ sharpRatioThr × current sell volume. – Cumulative dominance: sum of buy volumes over the window ≥ sharpRatioThr × sum of sell volumes (and vice versa for bearish checks). 2. Accumulation/Distribution divergence: Over the lookback window, cumulative delta rises by at least sharpCvdThr while price fails to rise (bullish), or cumulative delta falls by at least sharpCvdThr while price fails to fall (bearish). 3. Volume climax: The current side’s volume is ≥ sharpVolMult × its average and the product of volume and bar range is the highest in the lookback window. 4. Absorption/Churn: The current side’s volume divided by the bar’s range equals the highest value in the window and the bar’s range divided by ATR ≤ sharpChurnThr (indicating large volume within a small range). 5. Percentile rank: The current side’s volume percentile rank is ≥ sharp Percentile. 6. Mirror logic for sellers: The above checks are repeated with buyer and seller roles swapped and the price break levels reversed. Each condition that passes contributes one point to the corresponding side’s score (0 or 1). Risk and confirmation thresholds are then applied to these scores. 7.4 Scoring and labels • Risk: If scoreBull ≥ sharpScoreRisk, a “Sharp ↑ Risk” label is drawn above the bar. If scoreBear ≥ sharpScoreRisk, a “Sharp ↓ Risk” label is drawn below the bar. • Confirmation: A risk label is upgraded to “Sharp ↑” when scoreBull ≥ sharpScoreConfirm and the bar closes above the highest recent pivot (HH1); for bearish cases, confirmation requires scoreBear ≥ sharpScoreConfirm and a close below the lowest pivot (LL1). • Label positioning: Labels are offset from the candle by ATR × sharpLabelMult (full ATR times multiplier), not half, and may include a dashed or dotted connector line if enabled. Figure caption, In this chart both bullish and bearish sharp‑move setups have been flagged. Earlier in the range, a “Sharp ↓ Risk” label appears beneath a candle: the sell‑side score met the risk threshold, signaling that the combination of strong sell volume, dominance and absorption within a narrow range suggested a potential sharp decline. The price did not close below the lower pivot, so this label remains a “risk” and no confirmation occurred. Later, as the market recovered and volume shifted back to the buy side, a “Sharp ↑ Risk” label prints above a candle near the top of the channel. Here, buy‑side dominance, cumulative delta divergence and a volume climax aligned, but price has not yet closed above the upper pivot (HH1), so the alert is still a risk rather than a confirmed sharp‑up move. Figure caption, In this chart a Sharp ↑ label is displayed above a candle, indicating that the sharp move module has confirmed a bullish breakout. Prior bars satisfied the risk threshold — showing buy‑side dominance, positive cumulative delta divergence, a volume climax and strong absorption in a narrow range — and this candle closes above the highest recent pivot, upgrading the earlier “Sharp ↑ Risk” alert to a full Sharp ↑ signal. The green label is offset from the candle with a dashed connector, while the red and green trend lines trace the high and low pivot trajectories and the dashed horizontals mark the highest and lowest values of the lookback window. 8. Market‑Maker / Spread‑Capture Module 8.1 Concept Liquidity providers often “capture the spread” by buying and selling in almost equal amounts within a very narrow price range. These bars can signal temporary congestion before a move or reflect algorithmic activity. This module flags bars where both buyer and seller volumes are high, the price range is only a few ticks and the buy/sell split remains close to 50%. It helps traders spot potential liquidity pockets. 8.2 Inputs • scalpLookback: Window length used to compute volume averages. • scalpVolMult: Multiplier applied to each side’s average volume; both buy and sell volumes must exceed this multiple. • scalpTickCount: Maximum allowed number of ticks in a bar’s range (calculated as (high − low) / minTick). A value of 1 or 2 captures ultra‑small bars; increasing it relaxes the range requirement. • scalpDeltaRatio: Maximum deviation from a perfect 50/50 split. For example, 0.05 means the buyer share must be between 45% and 55%. • Label settings: ATR length, multiplier, size, colors, connector style and width. • Toggles : show_scalp_module and show_scalp_labels to enable the module and its labels. 8.3 Signal When, on the current bar, both TF_buy_breakout and TF_sell_breakout exceed scalpVolMult times their respective averages and (high − low)/minTick ≤ scalpTickCount and the buyer share is within scalpDeltaRatio of 50%, the module prints a “Spread ↔” label above the bar. The label uses the same ATR offset logic as other modules and draws a connector if enabled. Figure caption, In this chart the spread‑capture module has identified a potential liquidity pocket. Buyer and seller volumes both spiked above their recent averages, yet the candle’s range measured only a couple of ticks and the buy/sell split stayed close to 50 %. This combination met the module’s criteria, so it printed a grey “Spread ↔” label above the bar. The red and green trend lines link the earliest and latest high and low pivots, and the dashed horizontals mark the highest high and lowest low within the current lookback window. 9. Money Flow Module 9.1 Concept To translate volume into a monetary measure, this module multiplies each side’s volume by the closing price. It tracks buying and selling system money default currency on a per-bar basis and sums them over a chosen period. The difference between buy and sell currencies (Δ$) shows net inflow or outflow. 9.2 Inputs • mf_period_len_mf: Number of bars used for summing buy and sell dollars. • Label appearance settings: ATR length, multiplier, size, colors for up/down labels, and connector style and width. • Toggles: Use enableMoneyFlowLabel_mf and showMFLabels to control whether the module and its labels are displayed. 9.3 Calculations • Per-bar money: Buy $ = TF_buy_breakout × close; Sell $ = TF_sell_breakout × close. Their difference is Δ$ = Buy $ − Sell $. • Summations: Over mf_period_len_mf bars, compute Σ Buy $, Σ Sell $ and ΣΔ$ using math.sum(). • Info table entries: Rows 9–13 display these values as texts like “↑ USD 1234 (1M)” or “ΣΔ USD −5678 (14)”, with colors reflecting whether buyers or sellers dominate. • Money flow status: If Δ$ is positive the bar is marked “Money flow in” ; if negative, “Money flow out” ; if zero, “Neutral”. The cumulative status is similarly derived from ΣΔ.Labels print at the bar that changes the sign of ΣΔ, offset using ATR × label multiplier and styled per user preferences. Figure caption, The chart illustrates a steady rise toward the highest recent pivot (HH1) with price riding between a rising green trend‑line and a red trend‑line drawn through earlier pivot highs. A green Money flow in label appears above the bar near the top of the channel, signaling that net dollar flow turned positive on this bar: buy‑side dollar volume exceeded sell‑side dollar volume, pushing the cumulative sum ΣΔ$ above zero. In the info table, the “Money flow (bar)” and “Money flow Σ” rows both read In, confirming that the indicator’s money‑flow module has detected an inflow at both bar and aggregate levels, while other modules (pivots, trend lines and support/resistance) remain active to provide structural context. In this example the Money Flow module signals a net outflow. Price has been trending downward: successive high pivots form a falling red trend‑line and the low pivots form a descending green support line. When the latest bar broke below the previous low pivot (LL1), both the bar‑level and cumulative net dollar flow turned negative—selling volume at the close exceeded buying volume and pushed the cumulative Δ$ below zero. The module reacts by printing a red “Money flow out” label beneath the candle; the info table confirms that the “Money flow (bar)” and “Money flow Σ” rows both show Out, indicating sustained dominance of sellers in this period. 10. Info Table 10.1 Purpose When enabled, the Info Table appears in the lower right of your chart. It summarises key values computed by the indicator—such as buy and sell volume, delta, total volume, breakout status, market phase, and money flow—so you can see at a glance which side is dominant and which signals are active. 10.2 Symbols • ↑ / ↓ — Up (↑) denotes buy volume or money; down (↓) denotes sell volume or money. • MA — Moving average. In the table it shows the average value of a series over the lookback period. • Σ (Sigma) — Cumulative sum over the chosen lookback period. • Δ (Delta) — Difference between buy and sell values. • B / S — Buyer and seller share of total volume, expressed as percentages. • Ref. Price — Reference price for breakout calculations, based on the latest pivot. • Status — Indicates whether a breakout condition is currently active (True) or has failed. 10.3 Row definitions 1. Up volume / MA up volume – Displays current buy volume on the lower timeframe and its moving average over the lookback period. 2. Down volume / MA down volume – Shows current sell volume and its moving average; sell values are formatted in red for clarity. 3. Δ / ΣΔ – Lists the difference between buy and sell volume for the current bar and the cumulative delta volume over the lookback period. 4. Σ / MA Σ (Vol/MA) – Total volume (buy + sell) for the bar, with the ratio of this volume to its moving average; the right cell shows the average total volume. 5. B/S ratio – Buy and sell share of the total volume: current bar percentages and the average percentages across the lookback period. 6. Buyer Rank / Seller Rank – Ranks the bar’s buy and sell volumes among the last (n) bars; lower rank numbers indicate higher relative volume. 7. Σ Buy / Σ Sell – Sum of buy and sell volumes over the lookback window, indicating which side has traded more. 8. Breakout UP / DOWN – Shows the breakout thresholds (Ref. Price) and whether the breakout condition is active (True) or has failed. 9. Market Phase (Vol) – Reports the current volume‑only phase: Accumulation, Distribution or Neutral. 10. Money Flow – The final rows display dollar amounts and status: – ↑ USD / Σ↑ USD – Buy dollars for the current bar and the cumulative sum over the money‑flow period. – ↓ USD / Σ↓ USD – Sell dollars and their cumulative sum. – Δ USD / ΣΔ USD – Net dollar difference (buy minus sell) for the bar and cumulatively. – Money flow (bar) – Indicates whether the bar’s net dollar flow is positive (In), negative (Out) or neutral. – Money flow Σ – Shows whether the cumulative net dollar flow across the chosen period is positive, negative or neutral. The chart above shows a sequence of different signals from the indicator. A Bull Trap Risk appears after price briefly pushes above resistance but fails to hold, then a green Accum label identifies an accumulation phase. An upward breakout follows, confirmed by a Money flow in print. Later, a Sharp ↓ Risk warns of a possible sharp downturn; after price dips below support but quickly recovers, a Bear Trap label marks a false breakdown. The highlighted info table in the center summarizes key metrics at that moment, including current and average buy/sell volumes, net delta, total volume versus its moving average, breakout status (up and down), market phase (volume), and bar‑level and cumulative money flow (In/Out). 11. Conclusion & Final Remarks This indicator was developed as a holistic study of market structure and order flow. It brings together several well‑known concepts from technical analysis—breakouts, accumulation and distribution phases, overbought and oversold extremes, bull and bear traps, sharp directional moves, market‑maker spread bars and money flow—into a single Pine Script tool. Each module is based on widely recognized trading ideas and was implemented after consulting reference materials and example strategies, so you can see in real time how these concepts interact on your chart. A distinctive feature of this indicator is its reliance on per‑side volume: instead of tallying only total volume, it separately measures buy and sell transactions on a lower time frame. This approach gives a clearer view of who is in control—buyers or sellers—and helps filter breakouts, detect phases of accumulation or distribution, recognize potential traps, anticipate sharp moves and gauge whether liquidity providers are active. The money‑flow module extends this analysis by converting volume into currency values and tracking net inflow or outflow across a chosen window. Although comprehensive, this indicator is intended solely as a guide. It highlights conditions and statistics that many traders find useful, but it does not generate trading signals or guarantee results. Ultimately, you remain responsible for your positions. Use the information presented here to inform your analysis, combine it with other tools and risk‑management techniques, and always make your own decisions when trading.
Indicador Pine Script®
por ata_sabanci
16
CYCLE BY RiotWolftradingDescription of the "CYCLE" Indicator The "CYCLE" indicator is a custom Pine Script v5 script for TradingView that visualizes cyclic patterns in price action, dividing the trading day into specific sessions and 90-minute quarters (Q1-Q4). It is designed to identify and display market phases (Accumulation, Manipulation, Distribution, and Continuation/Reversal) along with key support and resistance levels within those sessions. Additionally, it allows customization of boxes, lines, labels, and colors to suit user preferences. Main Features Cycle Phases: Accumulation (1900-0100): Represents the phase where large operators accumulate positions. Manipulation (0100-0700): Identifies potential manipulative moves to mislead retail traders. Distribution (0700-1300): The phase where large operators distribute their positions. Continuation/Reversal (1300-1900): Indicates whether the price continues the trend or reverses. 90-Minute Quarters (Q1-Q4): Divides each 6-hour cycle (360 minutes) into four 90-minute quarters (Q1: 00:00-01:30, Q2: 01:30-03:00, Q3: 03:00-04:30, Q4: 04:30-06:00 UTC). Each quarter is displayed with a colored box (Q1: light purple, Q2: light blue, Q3: light gray, Q4: light pink) and labels (defaulted to black). Support and Resistance Visualization: Draws boxes or lines (based on settings) showing the high and low levels of each session. Optionally displays accumulated volume at the highs and lows within the boxes. Daily Lines and Last 3 Boxes: How to Use the Indicator Step 1: Add the Indicator to TradingView Open TradingView and select the chart where you want to apply the indicator (e.g., UMG9OOR on a 5-minute timeframe, as shown in the screenshot). Go to the Pine Editor (at the bottom of the TradingView interface). Copy and paste the provided code. Click Compile and then Add to Chart. Step 2: Configure the Indicator Click on the indicator name on the chart ("CYCLE") and select Settings (or double-click the name). Adjust the options based on your needs: Cycle Phases: Enable/disable phases (Accumulation, Manipulation, Distribution, Continuation/Reversal) and adjust their time slots if needed. 90-Minute Quarters: Enable/disable quarters (Q1-Q4). Step 3: Interpret the Indicator Identify Cycle Phases: Observe the red boxes indicating the phases (Accumulation, Manipulation, etc.). The high and low levels within each phase are potential support/resistance zones. If volume is enabled, pay attention to the accumulated volume at highs and lows, as it may indicate the strength of those levels. Use the 90-Minute Quarters (Q1-Q4): The colored boxes (Q1-Q4) divide the day into 90-minute segments. Each quarter shows the price range (high and low) during that period. Use these boxes to identify price patterns within each quarter, such as breakouts or consolidations. The labels (Q1, Q2, etc.) help you track time and anticipate potential moves in the next quarter. Analyze Support and Resistance: The high and low levels of each phase/quarter act as support and resistance. Daily lines (if enabled) show key levels from the previous day, useful for planning entries/exits. The "last 3 boxes below price" (if enabled) highlight potential support levels the price might target. Avoid Manipulation: During the Manipulation phase (0100-0700), be cautious of sharp moves or false breakouts. Use the high/low levels of this phase to identify potential traps (as explained in your first question about manipulation candles). Step 4: Trading Strategy Entries and Exits: Support/Resistance: Use the high/low levels of phases and quarters to set entry or exit points. For example, if the price bounces off a Q1 support level, consider a buy. Breakouts: If the price breaks a high/low of a quarter (e.g., Q2), wait for confirmation to enter in the direction of the breakout. Volume: If accumulated volume is high near a key level, that level may be more significant. Risk Management: Place stop-loss orders below lows (for buys) or above highs (for sells) identified by the indicator. Avoid trading during the Manipulation phase unless you have a specific strategy to handle false breakouts. Time Context: Use the quarters (Q1-Q4) to plan your trades based on time. For example, if Q3 is typically volatile in your market, prepare for larger moves between 03:00-04:30 UTC. Step 5: Adjustments and Testing Test on Different Timeframes: The indicator is set for a 5-minute timeframe (as in the screenshot), but you can test it on other timeframes (e.g., 1-minute, 15-minute) by adjusting the time slots if needed. Adjust Colors and Styles: If the default colors are not visible on your chart, change them for better clarity. --- 📌 1. **Accumulation: Strong Institutional Activity** - During the **accumulation phase, we see **high volume: 82.773K, which suggests strong buying interest**, likely from institutional players. - This sets the base for the following upward move in price. --- 📌 2. **Manipulation: False Breakout with Lower Volume** - Later, there's a manipulation phase where price breaks above previous highs, but the volume (71.814K) is **lower than during accumulation**. - This implies that buyers are not as aggressive as before—no real demandbehind the breakout. - It’s likely a bull trap, where smart money is selling into the breakout to exit their positions. --- ### 📌 3. Distribution: Weakness and Lack of Demand - The market enters a distribution phase, and volume drops even further (only 7.914K). - Price struggles to go higher, and you start seeing rejections at the top. - This shows that demand is drying up, and smart money is offloading positions**—not accumulating anymore. --- ### 💡 Why Take the Short Here? - Volume is not increasing with new highs—showing weak demand**. - The manipulation volume is weaker than the accumulation volume, confirming the breakout was likely false. - Structure starts to break down (Q levels falling), which confirms weakness. - This creates a high-probability short setup: - **Entry:** after confirmation of distribution and structural breakdown. - **Stop loss:** above the manipulation high. - **Target:** down toward previous lows or value zones. --- ### ✅ Conclusion Since the manipulation volume failed to exceed the accumulation volume, the breakout lacked real strength. Combined with decreasing volume in the distribution phase, this indicates fading demand and supply taking control—which justifies entering a short position.
Indicador Pine Script®
por anarkiacapital
1
Pivot Points LIVE [CHE]Title: Pivot Points LIVE Indicator Subtitle: Advanced Pivot Point Analysis for Real-Time Trading Presented by: Chervolino Date: September 24, 2024 Introduction What are Pivot Points? Definition: Pivot Points are technical analysis indicators used to determine potential support and resistance levels in financial markets. Purpose: They help traders identify possible price reversal points and make informed trading decisions. Overview of Pivot Points LIVE : A comprehensive indicator designed for real-time pivot point analysis. Offers advanced features for enhanced trading strategies. Key Features Pivot Points LIVE Includes: Dynamic Pivot Highs and Lows: Automatically detects and plots pivot high (HH, LH) and pivot low (HL, LL) points. Customizable Visualization: Multiple options to display markers, price labels, and support/resistance levels. Fractal Breakouts: Identifies and marks breakout and breakdown events with symbols. Line Connection Modes: Choose between "All Separate" or "Sequential" modes for connecting pivot points. Pivot Extension Lines: Extends lines from the latest pivot point to the current bar for trend analysis. Alerts: Configurable alerts for breakout and breakdown events. Inputs and Configuration Grouping Inputs for Easy Customization: Source / Length Left / Length Right: Pivot High Source: High price by default. Pivot Low Source: Low price by default. Left and Right Lengths: Define the number of bars to the left and right for pivot detection. Colors: Customizable colors for pivot high and low markers. Options: Display Settings: Show HH, LL, LH, HL markers and price labels. Display support/resistance level extensions. Option to show levels as a fractal chaos channel. Enable fractal breakout/down symbols. Line Connection Mode: Choose between "All Separate" or "Sequential" for connecting lines. Line Management: Set maximum number of lines to display. Customize line colors, widths, and styles. Pivot Extension Line: Visibility: Toggle the display of the last pivot extension line. Customization: Colors, styles, and width for extension lines. How It Works - Calculating Pivot Points Pivot High and Pivot Low Detection: Pivot High (PH): Identified when a high price is higher than a specified number of bars to its left and right. Pivot Low (PL): Identified when a low price is lower than a specified number of bars to its left and right. Higher Highs, Lower Highs, Higher Lows, Lower Lows: Higher High (HH): Current PH is higher than the previous PH. Lower High (LH): Current PH is lower than the previous PH. Higher Low (HL): Current PL is higher than the previous PL. Lower Low (LL): Current PL is lower than the previous PL. Visual Elements Markers and Labels: Shapes: HH and LH: Downward triangles above the bar. HL and LL: Upward triangles below the bar. Labels: Optionally display the price levels of HH, LH, HL, and LL on the chart. Support and Resistance Levels: Extensions: Lines extending from pivot points to indicate potential support and resistance zones. Chaos Channels: Display levels as a fractal chaos channel for enhanced trend analysis. Fractal Breakout Symbols: Buy Signals: Upward triangles below the bar. Sell Signals: Downward triangles above the bar. Slide 7: Line Connection Modes All Separate Mode: Description: Connects pivot highs with pivot highs and pivot lows with pivot lows separately. Use Case: Ideal for traders who want to analyze highs and lows independently. Sequential Mode: Description: Connects all pivot points in the order they occur, regardless of being high or low. Use Case: Suitable for identifying overall trend direction and momentum. Pivot Extension Lines Purpose: Trend Continuation: Visualize the continuation of the latest pivot point's price level. Customization: Colors: Differentiate between bullish and bearish extensions. Styles: Solid, dashed, or dotted lines based on user preference. Width: Adjustable line thickness for better visibility. Dynamic Updates: The extension line updates in real-time as new bars form, providing ongoing trend insights. Alerts and Notifications Configurable Alerts: Fractal Break Arrow: Triggered when a breakout or breakdown occurs. Long and Short Signals: Specific alerts for bullish breakouts (Long) and bearish breakdowns (Short). Benefits: Timely Notifications: Stay informed of critical market movements without constant monitoring. Automated Trading Strategies: Integrate with trading bots or automated systems for executing trades based on alerts. Customization and Optimization User-Friendly Inputs: Adjustable Parameters: Tailor pivot detection sensitivity with left and right lengths. Color and Style Settings: Match the indicator aesthetics to personal or platform preferences. Line Management: Maximum Lines Displayed: Prevent chart clutter by limiting the number of lines. Dynamic Line Handling: Automatically manage and delete old lines to maintain chart clarity. Flexibility: Adapt to Different Markets: Suitable for various financial instruments including stocks, forex, and cryptocurrencies. Scalability: Efficiently handles up to 500 labels and 100 lines for comprehensive analysis. Practical Use Cases Identifying Key Support and Resistance: Entry and Exit Points: Use pivot levels to determine optimal trade entry and exit points. Trend Confirmation: Validate market trends through the connection of pivot points. Breakout and Breakdown Strategies: Trading Breakouts: Enter long positions when price breaks above pivot highs. Trading Breakdowns: Enter short positions when price breaks below pivot lows. Risk Management: Setting Stop-Loss and Take-Profit Levels: Utilize pivot levels to place strategic stop-loss and take-profit orders. Slide 12: Benefits for Traders Real-Time Analysis: Provides up-to-date pivot points for timely decision-making. Enhanced Visualization: Clear markers and lines improve chart readability and analysis efficiency. Customizable and Flexible: Adapt the indicator to fit various trading styles and strategies. Automated Alerts: Stay ahead with instant notifications on key market events. Comprehensive Toolset: Combines pivot points with fractal analysis for deeper market insights. Conclusion Pivot Points LIVE is a robust and versatile indicator designed to enhance your trading strategy through real-time pivot point analysis. With its advanced features, customizable settings, and automated alerts, it equips traders with the tools needed to identify key market levels, execute timely trades, and manage risks effectively. Ready to Elevate Your Trading? Explore Pivot Points LIVE and integrate it into your trading toolkit today! Q&A Questions? Feel free to ask any questions or request further demonstrations of the Pivot Points LIVE indicator.
Indicador Pine Script®
por chervolino
3
IB & Hammer at SMA(20,50|200)IB & Hammer at SMA (20, 50, 200) Breakout/Breakdown Indicator Overview: The IB (Inside Bar) & Hammer at SMA Breakout/Breakdown Indicator is designed to identify breakout and breakdown opportunities using Inside Bars (IB) in combination with Simple Moving Averages (SMA 20, 50, 200) as key trend filters. This indicator is useful for traders looking to catch momentum moves after consolidation phases, confirming the trend direction with moving averages. Indicator Logic: Inside Bar (IB) Detection: An Inside Bar is a candlestick that is completely within the range of the previous candle (i.e., lower high and higher low). Inside Bars indicate consolidation, suggesting a potential breakout. SMA Trend Confirmation: The script uses three moving averages (SMA 20, 50, 200) to determine the trend direction. Bullish trend: Price is above the 50 & 200 SMAs. Bearish trend: Price is below the 50 & 200 SMAs. The 20 SMA is used as a dynamic short-term momentum filter. Breakout & Breakdown Conditions: Breakout: When price breaks above the Inside Bar’s high, and the trend is bullish (above key SMAs). Breakdown: When price breaks below the Inside Bar’s low, and the trend is bearish (below key SMAs). Alerts can be set to notify traders of potential trade opportunities. Features: ✅ Identifies Inside Bars (consolidation zones). ✅ Uses SMA (20, 50, 200) for trend confirmation. ✅ Breakout/Breakdown signals based on Inside Bar structure. ✅ Customizable Moving Averages & Alerts. ✅ Visual markers for easy trade identification. How to Use: Confirm Trend Direction: If the price is above SMA 50 & 200, look for breakout trades. If the price is below SMA 50 & 200, look for breakdown trades. Watch for Inside Bars: The script highlights Inside Bars with a specific color (configurable). These bars indicate a low-volatility phase, preparing for a breakout. Trade on Breakout/Breakdown: Breakout: Enter long when the price breaks above the Inside Bar’s high (bullish trend). Breakdown: Enter short when the price breaks below the Inside Bar’s low (bearish trend).
Indicador Pine Script®
por ICT_Concept_Trading
Trend Gauge [BullByte]Trend Gauge Summary A multi-factor trend detection indicator that aggregates EMA alignment, VWMA momentum scaling, volume spikes, ATR breakout strength, higher-timeframe confirmation, ADX-based regime filtering, and RSI pivot-divergence penalty into one normalized trend score. It also provides a confidence meter, a Δ Score momentum histogram, divergence highlights, and a compact, scalable dashboard for at-a-glance status. ________________________________________ ## 1. Purpose of the Indicator Why this was built Traders often monitor several indicators in parallel - EMAs, volume signals, volatility breakouts, higher-timeframe trends, ADX readings, divergence alerts, etc., which can be cumbersome and sometimes contradictory. The “Trend Gauge” indicator was created to consolidate these complementary checks into a single, normalized score that reflects the prevailing market bias (bullish, bearish, or neutral) and its strength. By combining multiple inputs with an adaptive regime filter, scaling contributions by magnitude, and penalizing weakening signals (divergence), this tool aims to reduce noise, highlight genuine trend opportunities, and warn when momentum fades. Key Design Goals Signal Aggregation Merged trend-following signals (EMA crossover, ATR breakout, higher-timeframe confirmation) and momentum signals (VWMA thrust, volume spikes) into a unified score that reflects directional bias more holistically. Market Regime Awareness Implemented an ADX-style filter to distinguish between trending and ranging markets, reducing the influence of trend signals during sideways phases to avoid false breakouts. Magnitude-Based Scaling Replaced binary contributions with scaled inputs: VWMA thrust and ATR breakout are weighted relative to recent averages, allowing for more nuanced score adjustments based on signal strength. Momentum Divergence Penalty Integrated pivot-based RSI divergence detection to slightly reduce the overall score when early signs of momentum weakening are detected, improving risk-awareness in entries. Confidence Transparency Added a live confidence metric that shows what percentage of enabled sub-indicators currently agree with the overall bias, making the scoring system more interpretable. Momentum Acceleration Visualization Plotted the change in score (Δ Score) as a histogram bar-to-bar, highlighting whether momentum is increasing, flattening, or reversing, aiding in more timely decision-making. Compact Informational Dashboard Presented a clean, scalable dashboard that displays each component’s status, the final score, confidence %, detected regime (Trending/Ranging), and a labeled strength gauge for quick visual assessment. ________________________________________ ## 2. Why a Trader Should Use It Main benefits and use cases 1. Unified View: Rather than juggling multiple windows or panels, this indicator delivers a single score synthesizing diverse signals. 2. Regime Filtering: In ranging markets, trend signals often generate false entries. The ADX-based regime filter automatically down-weights trend-following components, helping you avoid chasing false breakouts. 3. Nuanced Momentum & Volatility: VWMA and ATR breakout contributions are normalized by recent averages, so strong moves register strongly while smaller fluctuations are de-emphasized. 4. Early Warning of Weakening: Pivot-based RSI divergence is detected and used to slightly reduce the score when price/momentum diverges, giving a cautionary signal before a full reversal. 5. Confidence Meter: See at a glance how many sub-indicators align with the aggregated bias (e.g., “80% confidence” means 4 out of 5 components agree ). This transparency avoids black-box decisions. 6. Trend Acceleration/Deceleration View: The Δ Score histogram visualizes whether the aggregated score is rising (accelerating trend) or falling (momentum fading), supplementing the main oscillator. 7. Compact Dashboard: A corner table lists each check’s status (“Bull”, “Bear”, “Flat” or “Disabled”), plus overall Score, Confidence %, Regime, Trend Strength label, and a gauge bar. Users can scale text size (Normal, Small, Tiny) without removing elements, so the full picture remains visible even in compact layouts. 8. Customizable & Transparent: All components can be enabled/disabled and parameterized (lengths, thresholds, weights). The full Pine code is open and well-commented, letting users inspect or adapt the logic. 9. Alert-ready: Built-in alert conditions fire when the score crosses weak thresholds to bullish/bearish or returns to neutral, enabling timely notifications. ________________________________________ ## 3. Component Rationale (“Why These Specific Indicators?”) Each sub-component was chosen because it adds complementary information about trend or momentum: 1. EMA Cross o Basic trend measure: compares a faster EMA vs. a slower EMA. Quickly reflects trend shifts but by itself can whipsaw in sideways markets. 2. VWMA Momentum o Volume-weighted moving average change indicates momentum with volume context. By normalizing (dividing by a recent average absolute change), we capture the strength of momentum relative to recent history. This scaling prevents tiny moves from dominating and highlights genuinely strong momentum. 3. Volume Spikes o Sudden jumps in volume combined with price movement often accompany stronger moves or reversals. A binary detection (+1 for bullish spike, -1 for bearish spike) flags high-conviction bars. 4. ATR Breakout o Detects price breaking beyond recent highs/lows by a multiple of ATR. Measures breakout strength by how far beyond the threshold price moves relative to ATR, capped to avoid extreme outliers. This gives a volatility-contextual trend signal. 5. Higher-Timeframe EMA Alignment o Confirms whether the shorter-term trend aligns with a higher timeframe trend. Uses request.security with lookahead_off to avoid future data. When multiple timeframes agree, confidence in direction increases. 6. ADX Regime Filter (Manual Calculation) o Computes directional movement (+DM/–DM), smoothes via RMA, computes DI+ and DI–, then a DX and ADX-like value. If ADX ≥ threshold, market is “Trending” and trend components carry full weight; if ADX < threshold, “Ranging” mode applies a configurable weight multiplier (e.g., 0.5) to trend-based contributions, reducing false signals in sideways conditions. Volume spikes remain binary (optional behavior; can be adjusted if desired). 7. RSI Pivot-Divergence Penalty o Uses ta.pivothigh / ta.pivotlow with a lookback to detect pivot highs/lows on price and corresponding RSI values. When price makes a higher high but RSI makes a lower high (bearish divergence), or price makes a lower low but RSI makes a higher low (bullish divergence), a divergence signal is set. Rather than flipping the trend outright, the indicator subtracts (or adds) a small penalty (configurable) from the aggregated score if it would weaken the current bias. This subtle adjustment warns of weakening momentum without overreacting to noise. 8. Confidence Meter o Counts how many enabled components currently agree in direction with the aggregated score (i.e., component sign × score sign > 0). Displays this as a percentage. A high percentage indicates strong corroboration; a low percentage warns of mixed signals. 9. Δ Score Momentum View o Plots the bar-to-bar change in the aggregated score (delta_score = score - score ) as a histogram. When positive, bars are drawn in green above zero; when negative, bars are drawn in red below zero. This reveals acceleration (rising Δ) or deceleration (falling Δ), supplementing the main oscillator. 10. Dashboard • A table in the indicator pane’s top-right with 11 rows: 1. EMA Cross status 2. VWMA Momentum status 3. Volume Spike status 4. ATR Breakout status 5. Higher-Timeframe Trend status 6. Score (numeric) 7. Confidence % 8. Regime (“Trending” or “Ranging”) 9. Trend Strength label (e.g., “Weak Bullish Trend”, “Strong Bearish Trend”) 10. Gauge bar visually representing score magnitude • All rows always present; size_opt (Normal, Small, Tiny) only changes text size via text_size, not which elements appear. This ensures full transparency. ________________________________________ ## 4. What Makes This Indicator Stand Out • Regime-Weighted Multi-Factor Score: Trend and momentum signals are adaptively weighted by market regime (trending vs. ranging) , reducing false signals. • Magnitude Scaling: VWMA and ATR breakout contributions are normalized by recent average momentum or ATR, giving finer gradation compared to simple ±1. • Integrated Divergence Penalty: Divergence directly adjusts the aggregated score rather than appearing as a separate subplot; this influences alerts and trend labeling in real time. • Confidence Meter: Shows the percentage of sub-signals in agreement, providing transparency and preventing blind trust in a single metric. • Δ Score Histogram Momentum View: A histogram highlights acceleration or deceleration of the aggregated trend score, helping detect shifts early. • Flexible Dashboard: Always-visible component statuses and summary metrics in one place; text size scaling keeps the full picture available in cramped layouts. • Lookahead-Safe HTF Confirmation: Uses lookahead_off so no future data is accessed from higher timeframes, avoiding repaint bias. • Repaint Transparency: Divergence detection uses pivot functions that inherently confirm only after lookback bars; description documents this lag so users understand how and when divergence labels appear. • Open-Source & Educational: Full, well-commented Pine v6 code is provided; users can learn from its structure: manual ADX computation, conditional plotting with series = show ? value : na, efficient use of table.new in barstate.islast, and grouped inputs with tooltips. • Compliance-Conscious: All plots have descriptive titles; inputs use clear names; no unnamed generic “Plot” entries; manual ADX uses RMA; all request.security calls use lookahead_off. Code comments mention repaint behavior and limitations. ________________________________________ ## 5. Recommended Timeframes & Tuning • Any Timeframe: The indicator works on small (e.g., 1m) to large (daily, weekly) timeframes. However: o On very low timeframes (<1m or tick charts), noise may produce frequent whipsaws. Consider increasing smoothing lengths, disabling certain components (e.g., volume spike if volume data noisy), or using a larger pivot lookback for divergence. o On higher timeframes (daily, weekly), consider longer lookbacks for ATR breakout or divergence, and set Higher-Timeframe trend appropriately (e.g., 4H HTF when on 5 Min chart). • Defaults & Experimentation: Default input values are chosen to be balanced for many liquid markets. Users should test with replay or historical analysis on their symbol/timeframe and adjust: o ADX threshold (e.g., 20–30) based on instrument volatility. o VWMA and ATR scaling lengths to match average volatility cycles. o Pivot lookback for divergence: shorter for faster markets, longer for slower ones. • Combining with Other Analysis: Use in conjunction with price action, support/resistance, candlestick patterns, order flow, or other tools as desired. The aggregated score and alerts can guide attention but should not be the sole decision-factor. ________________________________________ ## 6. How Scoring and Logic Works (Step-by-Step) 1. Compute Sub-Scores o EMA Cross: Evaluate fast EMA > slow EMA ? +1 : fast EMA < slow EMA ? -1 : 0. o VWMA Momentum: Calculate vwma = ta.vwma(close, length), then vwma_mom = vwma - vwma . Normalize: divide by recent average absolute momentum (e.g., ta.sma(abs(vwma_mom), lookback)), clip to . o Volume Spike: Compute vol_SMA = ta.sma(volume, len). If volume > vol_SMA * multiplier AND price moved up ≥ threshold%, assign +1; if moved down ≥ threshold%, assign -1; else 0. o ATR Breakout: Determine recent high/low over lookback. If close > high + ATR*mult, compute distance = close - (high + ATR*mult), normalize by ATR, cap at a configured maximum. Assign positive contribution. Similarly for bearish breakout below low. o Higher-Timeframe Trend: Use request.security(..., lookahead=barmerge.lookahead_off) to fetch HTF EMAs; assign +1 or -1 based on alignment. 2. ADX Regime Weighting o Compute manual ADX: directional movements (+DM, –DM), smoothed via RMA, DI+ and DI–, then DX and ADX via RMA. If ADX ≥ threshold, market is considered “Trending”; otherwise “Ranging.” o If trending, trend-based contributions (EMA, VWMA, ATR, HTF) use full weight = 1.0. If ranging, use weight = ranging_weight (e.g., 0.5) to down-weight them. Volume spike stays binary ±1 (optional to change if desired). 3. Aggregate Raw Score o Sum weighted contributions of all enabled components. Count the number of enabled components; if zero, default count = 1 to avoid division by zero. 4. Divergence Penalty o Detect pivot highs/lows on price and corresponding RSI values, using a lookback. When price and RSI diverge (bearish or bullish divergence), check if current raw score is in the opposing direction:  If bearish divergence (price higher high, RSI lower high) and raw score currently positive, subtract a penalty (e.g., 0.5).  If bullish divergence (price lower low, RSI higher low) and raw score currently negative, add a penalty. o This reduces score magnitude to reflect weakening momentum, without flipping the trend outright. 5. Normalize and Smooth o Normalized score = (raw_score / number_of_enabled_components) * 100. This yields a roughly range. o Optional EMA smoothing of this normalized score to reduce noise. 6. Interpretation o Sign: >0 = net bullish bias; <0 = net bearish bias; near zero = neutral. o Magnitude Zones: Compare |score| to thresholds (Weak, Medium, Strong) to label trend strength (e.g., “Weak Bullish Trend”, “Medium Bearish Trend”, “Strong Bullish Trend”). o Δ Score Histogram: The histogram bars from zero show change from previous bar’s score; positive bars indicate acceleration, negative bars indicate deceleration. o Confidence: Percentage of sub-indicators aligned with the score’s sign. o Regime: Indicates whether trend-based signals are fully weighted or down-weighted. ________________________________________ ## 7. Oscillator Plot & Visualization: How to Read It Main Score Line & Area The oscillator plots the aggregated score as a line, with colored fill: green above zero for bullish area, red below zero for bearish area. Horizontal reference lines at ±Weak, ±Medium, and ±Strong thresholds mark zones: crossing above +Weak suggests beginning of bullish bias, above +Medium for moderate strength, above +Strong for strong trend; similarly for bearish below negative thresholds. Δ Score Histogram If enabled, a histogram shows score - score . When positive, bars appear in green above zero, indicating accelerating bullish momentum; when negative, bars appear in red below zero, indicating decelerating or reversing momentum. The height of each bar reflects the magnitude of change in the aggregated score from the prior bar. Divergence Highlight Fill If enabled, when a pivot-based divergence is confirmed: • Bullish Divergence : fill the area below zero down to –Weak threshold in green, signaling potential reversal from bearish to bullish. • Bearish Divergence : fill the area above zero up to +Weak threshold in red, signaling potential reversal from bullish to bearish. These fills appear with a lag equal to pivot lookback (the number of bars needed to confirm the pivot). They do not repaint after confirmation, but users must understand this lag. Trend Direction Label When score crosses above or below the Weak threshold, a small label appears near the score line reading “Bullish” or “Bearish.” If the score returns within ±Weak, the label “Neutral” appears. This helps quickly identify shifts at the moment they occur. Dashboard Panel In the indicator pane’s top-right, a table shows: 1. EMA Cross status: “Bull”, “Bear”, “Flat”, or “Disabled” 2. VWMA Momentum status: similarly 3. Volume Spike status: “Bull”, “Bear”, “No”, or “Disabled” 4. ATR Breakout status: “Bull”, “Bear”, “No”, or “Disabled” 5. Higher-Timeframe Trend status: “Bull”, “Bear”, “Flat”, or “Disabled” 6. Score: numeric value (rounded) 7. Confidence: e.g., “80%” (colored: green for high, amber for medium, red for low) 8. Regime: “Trending” or “Ranging” (colored accordingly) 9. Trend Strength: textual label based on magnitude (e.g., “Medium Bullish Trend”) 10. Gauge: a bar of blocks representing |score|/100 All rows remain visible at all times; changing Dashboard Size only scales text size (Normal, Small, Tiny). ________________________________________ ## 8. Example Usage (Illustrative Scenario) Example: BTCUSD 5 Min 1. Setup: Add “Trend Gauge ” to your BTCUSD 5 Min chart. Defaults: EMAs (8/21), VWMA 14 with lookback 3, volume spike settings, ATR breakout 14/5, HTF = 5m (or adjust to 4H if preferred), ADX threshold 25, ranging weight 0.5, divergence RSI length 14 pivot lookback 5, penalty 0.5, smoothing length 3, thresholds Weak=20, Medium=50, Strong=80. Dashboard Size = Small. 2. Trend Onset: At some point, price breaks above recent high by ATR multiple, volume spikes upward, faster EMA crosses above slower EMA, HTF EMA also bullish, and ADX (manual) ≥ threshold → aggregated score rises above +20 (Weak threshold) into +Medium zone. Dashboard shows “Bull” for EMA, VWMA, Vol Spike, ATR, HTF; Score ~+60–+70; Confidence ~100%; Regime “Trending”; Trend Strength “Medium Bullish Trend”; Gauge ~6–7 blocks. Δ Score histogram bars are green and rising, indicating accelerating bullish momentum. Trader notes the alignment. 3. Divergence Warning: Later, price makes a slightly higher high but RSI fails to confirm (lower RSI high). Pivot lookback completes; the indicator highlights a bearish divergence fill above zero and subtracts a small penalty from the score, causing score to stall or retrace slightly. Dashboard still bullish but score dips toward +Weak. This warns the trader to tighten stops or take partial profits. 4. Trend Weakens: Score eventually crosses below +Weak back into neutral; a “Neutral” label appears, and a “Neutral Trend” alert fires if enabled. Trader exits or avoids new long entries. If score subsequently crosses below –Weak, a “Bearish” label and alert occur. 5. Customization: If the trader finds VWMA noise too frequent on this instrument, they may disable VWMA or increase lookback. If ATR breakouts are too rare, adjust ATR length or multiplier. If ADX threshold seems off, tune threshold. All these adjustments are explained in Inputs section. 6. Visualization: The screenshot shows the main score oscillator with colored areas, reference lines at ±20/50/80, Δ Score histogram bars below/above zero, divergence fill highlighting potential reversal, and the dashboard table in the top-right. ________________________________________ ## 9. Inputs Explanation A concise yet clear summary of inputs helps users understand and adjust: 1. General Settings • Theme (Dark/Light): Choose background-appropriate colors for the indicator pane. • Dashboard Size (Normal/Small/Tiny): Scales text size only; all dashboard elements remain visible. 2. Indicator Settings • Enable EMA Cross: Toggle on/off basic EMA alignment check. o Fast EMA Length and Slow EMA Length: Periods for EMAs. • Enable VWMA Momentum: Toggle VWMA momentum check. o VWMA Length: Period for VWMA. o VWMA Momentum Lookback: Bars to compare VWMA to measure momentum. • Enable Volume Spike: Toggle volume spike detection. o Volume SMA Length: Period to compute average volume. o Volume Spike Multiplier: How many times above average volume qualifies as spike. o Min Price Move (%): Minimum percent change in price during spike to qualify as bullish or bearish. • Enable ATR Breakout: Toggle ATR breakout detection. o ATR Length: Period for ATR. o Breakout Lookback: Bars to look back for recent highs/lows. o ATR Multiplier: Multiplier for breakout threshold. • Enable Higher Timeframe Trend: Toggle HTF EMA alignment. o Higher Timeframe: E.g., “5” for 5-minute when on 1-minute chart, or “60” for 5 Min when on 15m, etc. Uses lookahead_off. • Enable ADX Regime Filter: Toggles regime-based weighting. o ADX Length: Period for manual ADX calculation. o ADX Threshold: Value above which market considered trending. o Ranging Weight Multiplier: Weight applied to trend components when ADX < threshold (e.g., 0.5). • Scale VWMA Momentum: Toggle normalization of VWMA momentum magnitude. o VWMA Mom Scale Lookback: Period for average absolute VWMA momentum. • Scale ATR Breakout Strength: Toggle normalization of breakout distance by ATR. o ATR Scale Cap: Maximum multiple of ATR used for breakout strength. • Enable Price-RSI Divergence: Toggle divergence detection. o RSI Length for Divergence: Period for RSI. o Pivot Lookback for Divergence: Bars on each side to identify pivot high/low. o Divergence Penalty: Amount to subtract/add to score when divergence detected (e.g., 0.5). 3. Score Settings • Smooth Score: Toggle EMA smoothing of normalized score. • Score Smoothing Length: Period for smoothing EMA. • Weak Threshold: Absolute score value under which trend is considered weak or neutral. • Medium Threshold: Score above Weak but below Medium is moderate. • Strong Threshold: Score above this indicates strong trend. 4. Visualization Settings • Show Δ Score Histogram: Toggle display of the bar-to-bar change in score as a histogram. Default true. • Show Divergence Fill: Toggle background fill highlighting confirmed divergences. Default true. Each input has a tooltip in the code. ________________________________________ ## 10. Limitations, Repaint Notes, and Disclaimers 10.1. Repaint & Lag Considerations • Pivot-Based Divergence Lag: The divergence detection uses ta.pivothigh / ta.pivotlow with a specified lookback. By design, a pivot is only confirmed after the lookback number of bars. As a result: o Divergence labels or fills appear with a delay equal to the pivot lookback. o Once the pivot is confirmed and the divergence is detected, the fill/label does not repaint thereafter, but you must understand and accept this lag. o Users should not treat divergence highlights as predictive signals without additional confirmation, because they appear after the pivot has fully formed. • Higher-Timeframe EMA Alignment: Uses request.security(..., lookahead=barmerge.lookahead_off), so no future data from the higher timeframe is used. This avoids lookahead bias and ensures signals are based only on completed higher-timeframe bars. • No Future Data: All calculations are designed to avoid using future information. For example, manual ADX uses RMA on past data; security calls use lookahead_off. 10.2. Market & Noise Considerations • In very choppy or low-liquidity markets, some components (e.g., volume spikes or VWMA momentum) may be noisy. Users can disable or adjust those components’ parameters. • On extremely low timeframes, noise may dominate; consider smoothing lengths or disabling certain features. • On very high timeframes, pivots and breakouts occur less frequently; adjust lookbacks accordingly to avoid sparse signals. 10.3. Not a Standalone Trading System • This is an indicator, not a complete trading strategy. It provides signals and context but does not manage entries, exits, position sizing, or risk management. • Users must combine it with their own analysis, money management, and confirmations (e.g., price patterns, support/resistance, fundamental context). • No guarantees: past behavior does not guarantee future performance. 10.4. Disclaimers • Educational Purposes Only: The script is provided as-is for educational and informational purposes. It does not constitute financial, investment, or trading advice. • Use at Your Own Risk: Trading involves risk of loss. Users should thoroughly test and use proper risk management. • No Guarantees: The author is not responsible for trading outcomes based on this indicator. • License: Published under Mozilla Public License 2.0; code is open for viewing and modification under MPL terms. ________________________________________ ## 11. Alerts • The indicator defines three alert conditions: 1. Bullish Trend: when the aggregated score crosses above the Weak threshold. 2. Bearish Trend: when the score crosses below the negative Weak threshold. 3. Neutral Trend: when the score returns within ±Weak after being outside. Good luck – BullByte
Indicador Pine Script®
por BullByte
3
Waldo RSI Overlay :oWaldo RSI Overlay :o Indicator Guide Welcome to the guide for the Waldo RSI Overlay :o indicator on TradingView. This tool enhances your trading analysis through RSI-based overlays for trend analysis, divergence detection, and breakout/breakdown signals when used with its companion indicator, Waldo RSI :o. Key Features: RSI Overlay: • RSI Source: Choose from: o ON RSI: Uses the RSI values directly to detect pivots, focusing on RSI highs and lows for trend analysis. o ON HIGH, ON CLOSE, ON LOW, ON OPEN: These options base pivot detection on price action at those specific points, offering an alternative market structure view. • RSI Settings: o Source: Default is (H+L)/2, but you can select any price for RSI calculation. o Length: Default RSI length is 7, which you can adjust for sensitivity. Trend Lines: • Show Trend Lines: Toggle to display trend lines based on pivot points. • Zigzag Length: Sets the sensitivity of pivot point detection. • Confirm Length: Ensures the validity of pivot points (default is 3). • Colors: Customize colors for Higher Highs (HH), Lower Highs (LH), Higher Lows (HL), and Lower Lows (LL). • Transparency and Line Width: Control how trend lines and fills appear. • Label Size: Adjust the size of labels identifying pivot points. Divergences: • Classic Divergences: o Show Classic Div: Enable to highlight regular divergences where price and RSI move in opposite directions. o Colors: Define colors for bullish and bearish divergence lines and labels. o Transparency and Line Width: Adjust the visual impact of divergence signals. • Hidden Divergences: o Similar settings as classic, but these highlight divergences indicating trend continuation. Breakout/Breakdown: • Show Breakout/Breakdown: When activated, this feature signals when the price breaks through previous highs or lows. To activate these breakouts, you need the companion indicator Waldo RSI :o, select the SRC in the External section, and select the crossovers for each one. This combination provides RSI confirmation for breakout/breakdown events. Overbought/Oversold Zones: • Show Overbought and Oversold Zones: Bars are colored when RSI exceeds 70 (purple) or falls below 30 (blue), indicating potential market extremes. Moving Averages (Optional): • Show Moving Averages: Option to overlay two moving averages for trend confirmation. • Source, Type, Length: Customize each MA's configuration. Ghost Lines (Optional): • Ghost Lines: When enabled, trend lines extend for only a specified period (Ghost Length) instead of indefinitely. How to Use the Indicator: 1. Setup: o Configure RSI settings by choosing the RSI Source and adjusting the RSI Length to suit your trading style. o Set the Zigzag Length and Confirm Length for trend line sensitivity based on market volatility. 2. Trend Analysis: o Look at the colored horizontal lines and fills for HH, LH, HL, LL to discern market structure and potential reversal points. 3. Divergence Detection: o Identify divergences where price and RSI diverge. Regular divergences might signal trend exhaustion, while hidden ones could indicate trend persistence. 4. Breakout/Breakdown Signals: o Ensure you have both the Waldo RSI Overlay :o and Waldo RSI :o indicators applied. Green triangles below bars signal breakouts; red ones above indicate breakdowns, based on price movement with RSI confirmation from the companion indicator. 5. Overbought/Oversold: o Use these colored zones to spot potential momentum shifts or reversal areas. 6. Moving Averages on RSI: o If used, these can help confirm trends or identify crossover signals for additional trade confirmation. 7. Ghost Lines: o For a less cluttered chart, enable this to limit how far trend lines extend. Tips for Usage: • Always combine this indicator with other analytical tools for better confirmation. No single indicator should guide all decisions. • Adjust settings according to the asset's behavior and your trading timeframe. • Regularly review your settings as market dynamics change. Remember, trading involves risk, and past performance doesn't predict future outcomes. Use this indicator within a comprehensive trading strategy.
Indicador Pine Script®
por RSI_Trading_Concepts
2
MERCURY by DrAbhiramSivprasad"MERCURY by DrAbhiramSivprasad" Developed from over 10 years of personal trading experience, the Mercury Indicator is a strategic tool designed to enhance accuracy in trading decisions. Think of it as a guiding light—a supportive tool that helps traders refine and build more robust strategies by integrating multiple powerful elements into a single indicator. I’ll be sharing some examples to illustrate how I use this indicator in my own trading journey, highlighting its potential to improve strategy accuracy. Reason behind the combination of emas , cpr and vwap is it provides very good support and resistance in my trading carrier so now i brought them together in one plate How It Works: Mercury combines three essential elements—EMA, VWAP, and CPR—each of which plays a vital role in detecting support and resistance: Exponential Moving Averages (EMAs): Known for their strength in providing dynamic support and resistance levels, EMAs help in identifying trends and shifts in momentum. This indicator includes a dashboard with up to nine customizable EMAs, showing whether each is acting as support or resistance based on real-time price movement. Volume Weighted Average Price (VWAP): VWAP also provides valuable support and resistance, often regarded as a fair price level by institutional traders. Paired with EMAs, it forms a dual-layered support/resistance system, adding an additional level of confirmation. Central Pivot Range (CPR): By combining CPR with EMAs and VWAP, Mercury highlights “traffic blocks” in your target journey. This means it identifies zones where price is likely to stall or reverse, providing additional guidance for navigating entries and exits. Why This Combination Matters: Using these three tools together gives you a more complete view of the market. VWAP and EMAs offer dynamic trend direction and support/resistance, while CPR pinpoints critical price zones. This combination helps you find high-probability trades, adding clarity to complex market situations and enabling stronger confirmation on trend or reversal decisions. How to Use: Trend Confirmation: Check if all EMAs are aligned (green for uptrend, red for downtrend), which is visible in the EMA dashboard. An alignment across VWAP, CPR, and EMAs signifies high confidence in trend direction. Breakouts & Breakdowns: Mercury has an alert system to signal when a price breakout or breakdown occurs across VWAP, EMA1, and EMA2. This can help in spotting strong directional moves. Example Application: In my trading, I use Mercury to identify support/resistance zones, confirming trends with EMA/VWAP alignment and using CPR as a checkpoint. I find this especially useful for day trading and swing setups. Recommended Timeframes: Day Trading: 5 to 15-minute charts for swift, actionable insights. Swing Trading: 1-hour or 4-hour charts for broader trend analysis. Note: The Mercury Indicator should be used as a supportive tool rather than a standalone strategy, guiding you toward informed decisions in line with your trading style and goals. EXAMPLE OF TRADE you can see the cart of XAUUSD on 11th nov 2024 1.SHORT POSITION - TIME FRAME 15 MIN So here for a short position you need to wait for a breakdown candle which will print in orange post the candle you need to check ema dashboard is completly red that indicates no traffic blocks in your journey to destiny target from ema's and you can take the target from nearest cpr support line TAKEN IN XAUUSD you can see in chart of XAUUSD on 7th nov 2.LONG POSITION - TIME FRAME 15 MIN - So here for long position you need to wait for a breakout candle from indicator thats here is blue and check all ema boxes are green and candle body should close above all the 3 lines here it is the both ema 1 and 2 and the vwap line then you can take and entry and your target will be the nearest resistance from the daily cpr 3. STOP LOSS CRITERIA After the entry any candle close below any of the last line from entry for example we have 3 lines vwap and ema 1 and 2 lines and u have made an entry and the last line before the entry is vwap then if any candle closes below vwap can be considered as stoploss like wise in any lines The MERCURY indicator is a comprehensive trading tool designed to enhance traders' ability to identify trends, breakouts, and reversals effectively. Created by Dr. Abhiram Sivprasad, this indicator integrates several technical elements, including Central Pivot Range (CPR), EMA crossovers, VWAP levels, and a table-based EMA dashboard, to offer a holistic trading view. Core Components and Functionality: Central Pivot Range (CPR): The CPR in MERCURY provides a central pivot level along with Below Central (BC) and Top Central (TC) pivots. These levels act as potential support and resistance, useful for identifying reversal points and zones where price may consolidate. Exponential Moving Averages (EMAs): MERCURY includes up to nine EMAs, with a customizable EMA crossover alert system. This feature enables traders to see shifts in trend direction, especially when shorter EMAs cross longer ones. VWAP (Volume-Weighted Average Price): VWAP is incorporated as a dynamic support/resistance level and, combined with EMA crossovers, helps refine entry and exit points for higher probability trades. Breakout and Breakdown Alerts: MERCURY monitors conditions for upside and downside breakouts. For an upside breakout, all EMAs turn green and a candle closes above VWAP, EMA1, and EMA2. Similarly, all EMAs turning red, combined with a close below VWAP and EMA1/EMA2, signals a downside breakdown. Continuous alerts are available until the trend shifts. Real-Time EMA Dashboard: A table displays each EMA’s relative position (Above or Below), helping traders quickly gauge trend direction. Colors in the table adjust to long/short conditions based on EMA alignment. Usage Recommendations: Trend Confirmation: Use the CPR, EMA alignments, and VWAP to confirm uptrends and downtrends. The table highlights trends, making it easy to spot long or short setups at a glance. Breakout and Breakdown Alerts: The alert system is customizable for continuous notifications on critical price levels. When all EMAs align in one direction (green for long, red for short) and the close is above or below VWAP and key EMAs, the indicator confirms a breakout/breakdown. Adaptable for Different Styles: Day Trading: Traders can set shorter EMAs for quick insights. Swing Trading: Longer EMAs combined with CPR offer insights into sustained trends. Recommended Settings: Timeframes: MERCURY is suitable for timeframes as low as 5 minutes for intraday traders, up to daily charts for trend analysis. Symbols: Works across forex, stocks, and crypto. Adjust EMA lengths for asset volatility. Example Strategy: Long Entry: When the price crosses above CPR and closes above both EMA1 and EMA2. Short Entry: When the price falls below CPR with a close below both EMA1 and EMA2.
Indicador Pine Script®
por DRABHIRAMSS
2
Flat Market Range Pro [CHE]Flat Market Range Pro Indicator Introduction Hey there! 👋 Welcome to our overview of the Flat Market Range Pro indicator. Whether you're new to trading or a seasoned pro, this tool is designed to help you spot those flat market conditions where prices are chilling within a certain range. By highlighting these consolidation zones and potential breakout points, it offers some pretty neat insights to boost your trading strategies. Let’s dive in and explore how this indicator can make your trading journey smoother and more informed! How It Works The Flat Market Range Pro indicator is all about understanding the ebb and flow of the market. Here's a simple breakdown: Range Detection: Range Period (range_period): This sets the number of bars (think of them as time slices) the indicator looks back to find the highest highs and lowest lows. It’s like setting the scope for your search. Minimum Candles in Range (min_candles_in_range): Ensures that there are enough candles (price bars) within the range to make the detection meaningful. No point in highlighting a range if it’s too short, right? Adaptive Moving Average (AMA): Think of AMA as the indicator’s way of staying flexible. It smooths out the price data to better spot trends within those flat ranges. Don’t worry, it’s working behind the scenes and won’t clutter your chart. Breakout Detection: When the price decides to break free from its cozy range, the indicator flags it. It waits for confirmation to make sure it’s not just a fleeting move, adding a layer of reliability to your signals. Visualization: Flat Market Zones: These are shaded areas that highlight where the price has been consolidating. Support and Resistance Lines: Automatically drawn lines that mark key price levels, helping you see where the price might bounce or break through. Trade Signals: Arrows popping up to show potential buy or sell opportunities when breakouts occur. Breaking It Down 1. Detecting the Range The indicator scans through the past range_period bars to find the highest and lowest prices. This creates a dynamic range that adjusts as new data comes in. It’s like having a smart assistant keeping an eye on where the action is happening. 2. The Role of AMA Even though you won’t see AMA on your chart, it plays a crucial role. It helps the indicator adapt to changing market conditions by smoothing out the data, making sure the breakout signals are spot-on and not just random noise. 3. Spotting Breakouts A breakout happens when the price moves beyond the established range. The indicator marks these moments with clear arrows, so you know when it might be a good time to jump in or out of a trade. Plus, it waits for confirmation to ensure these signals are solid. 4. Visualizing Flat Markets Shaded boxes highlight the areas where the price has been consolidating, making it easy to see when the market is flat. Support and resistance lines are drawn automatically, and you can even customize how they look to match your personal style. Customize It Your Way One of the best things about the Flat Market Range Pro indicator is how customizable it is. Here’s what you can tweak: Range Settings: Adjust the range_period to fit different timeframes. Set the min_candles_in_range to ensure the ranges you see are meaningful. Moving Average Settings: Change the ma_length and ma_lookback to fine-tune how the AMA responds to price movements. Visual Tweaks: Pick your favorite colors and transparency levels for the shaded zones. Choose whether to display support and resistance lines and extend them indefinitely if you like. Toggle trade arrows and labels on or off based on what you find most helpful. Organizing these settings into logical groups makes it super easy to customize the indicator just the way you like it. Real-World Examples 1. Spotting Consolidation: Imagine you’re watching a stock that’s been moving sideways for a while. The indicator highlights this consolidation with shaded boxes and support/resistance lines, giving you a clear picture of where the price is hanging out. 2. Trading Breakouts: When the price finally decides to break free from the range, the indicator pops up buy or sell arrows. This helps you catch the move early, whether you’re looking to enter a new trade or exit an existing one. 3. Making Informed Decisions: With clear visual cues and reliable signals, you can make smarter trading decisions without getting overwhelmed by too much information. Behind the Scenes: Technical Insights For those curious about the nuts and bolts, here’s a peek into how the Flat Market Range Pro indicator is built: Efficient Range Calculation: Uses loops to scan through the specified range_period, ensuring accurate detection of high and low points. Adaptive Logic with AMA: Incorporates the Simple Moving Average (SMA) to create a threshold coefficient, making the indicator responsive to market changes. Clear Visualization: Utilizes box.new and label.new for intuitive visual representations of flat markets. Employs plotshape and plot to display breakout signals clearly on your chart. Optimized Performance: Avoids plotting unnecessary elements like AMA, keeping your chart clean and focused on what matters. Why You’ll Love It The Flat Market Range Pro indicator brings a lot to the table: Accurate Range Detection: Pinpoints consolidation zones by analyzing historical highs and lows. Flexible and Adaptive: AMA ensures the indicator stays responsive to different market conditions. User-Friendly Visuals: Shaded zones, support/resistance lines, and clear trade signals make your chart easy to understand at a glance. Highly Customizable: Tailor the settings to match your trading style and preferences. Reliable Signals: Confirmation mechanisms help reduce false signals, giving you more confidence in your trades. Wrapping It Up The Flat Market Range Pro indicator is a fantastic tool for anyone looking to navigate flat or consolidating markets with ease. By combining precise range detection, adaptive logic, and clear visual cues, it helps you identify consolidation phases and seize breakout opportunities effectively. Its customizable features ensure that it fits seamlessly into your trading strategy, whether you’re just starting out or have years of experience under your belt. For more details, a step-by-step guide on using the indicator, and access to the full Pine Script code, check out the accompanying documentation or reach out for support. Happy trading! 🌟 Questions and Further Information Got questions or need a hand with the Flat Market Range Pro indicator? Feel free to reach out! Whether you’re curious about how it works or need tips on customizing it for your trading style, we’re here to help. Also, give the indicator a try on different charts to see how it performs in various market conditions. Let’s make your trading experience better together! Best regards Chervolino This script was inspired by: Trend Regularity Adaptive Moving Average and Range Detection by HasanRifat
Indicador Pine Script®
por chervolino
2
🚀 Ultimate Trading Tool + Strat Method🚀 Ultimate Trading Tool + Strat Method - Complete Breakdown Let me give you a comprehensive overview of this powerful indicator! 🎯 What This Indicator Does: This is a professional-grade, all-in-one trading system that combines two proven methodologies: 1️⃣ Technical Analysis System (Original) Advanced trend detection using multiple EMAs Momentum analysis with MACD RSI multi-timeframe analysis Volume surge detection Automated trendline drawing 2️⃣ Strat Method (Pattern Recognition) Inside bars, outside bars, directional bars Classic patterns: 2-2, 1-2-2 Advanced patterns: 3-1-2, 2-1-2, F2→3 Timeframe continuity filters 📊 How It Generates Signals: Technical Analysis Signals (Green/Red Triangles): Buy Signal Triggers When: ✅ Price above EMA 21 & 50 (uptrend) ✅ MACD histogram rising (momentum) ✅ RSI between 30-70 (not overbought/oversold) ✅ Volume surge above 20-period average ✅ Price breaks above resistance trendline Scoring System: Trend alignment: +1 point Momentum: +1 point RSI favorable: +1 point Trendline breakout: +2 points Minimum score required based on sensitivity setting Strat Method Signals (Blue/Orange Labels): Pattern Recognition: 2-2 Setup: Down bar → Up bar (or reverse) 1-2-2 Setup: Inside bar → Down bar → Up bar 3-1-2 Setup: Outside bar → Inside bar → Up bar 2-1-2 Setup: Down bar → Inside bar → Up bar F2→3 Setup: Failed directional bar becomes outside bar Confirmation Required: Must break previous bar's high (buy) or low (sell) Optional timeframe continuity (daily & weekly aligned) 💰 Risk Management Features: Dynamic Stop Loss & Take Profit: ATR-Based: Adapts to market volatility Stop Loss: Entry - (ATR × 1.5) by default Take Profit: Entry + (ATR × 3.0) by default Risk:Reward: Customizable 1:2 to 1:5 ratios Visual Risk Zones: Colored boxes show risk/reward area Dark, bold lines for easy identification Clear entry, stop, and target levels 🎨 What You See On Screen: Main Signals: 🟢 Green Triangle "BUY" - Technical analysis long signal 🔴 Red Triangle "SELL" - Technical analysis short signal 🎯 Blue Label "STRAT" - Strat method long signal 🎯 Orange Label "STRAT" - Strat method short signal Trendlines: Green lines - Support trendlines (bullish) Red lines - Resistance trendlines (bearish) Automatically drawn from pivot points Extended forward to predict future levels Stop/Target Levels: Bold crosses at stop loss levels (red color) Bold crosses at take profit levels (green color) Line width = 3 for maximum visibility Trade Zones: Light green boxes - Long trade risk/reward zone Light red boxes - Short trade risk/reward zone Shows potential profit vs risk visually 📊 Information Dashboard (Top Right): Shows real-time market conditions: Main Signal: Current technical signal status Strat Method: Active Strat pattern Trend: Bullish/Bearish/Neutral Momentum: Strong/Weak based on MACD Volume: High/Normal compared to average TF Continuity: Daily/Weekly alignment RSI: Current RSI value with color coding Support/Resistance: Current trendline levels 🔔 Alert System: Entry Alerts: Technical Signals: 🚀 BUY SIGNAL TRIGGERED! Type: Technical Analysis Entry: 45.23 Stop: 43.87 Target: 48.95 ``` **Strat Signals:** ``` 🎯 STRAT BUY TRIGGER! Pattern: 3-1-2 Entry: 45.23 Trigger Level: 44.56 Exit Alerts: Target hit notifications Stop loss hit warnings Helps maintain discipline ⚙️ Customization Options: Signal Settings: Sensitivity: High/Medium/Low (controls how many signals) Volume Filter: Require volume surge or not Momentum Filter: Require momentum confirmation Strat Settings: TF Continuity: Require daily/weekly alignment Pattern Selection: Enable/disable specific patterns Confirmation Mode: Show only confirmed triggers Risk Settings: ATR Multiplier: Adjust stop/target distance Risk:Reward: Set preferred ratio Visual Elements: Show/hide any component Visual Settings: Colors: Customize all signal colors Display Options: Toggle signals, levels, zones Trendline Length: Adjust pivot detection period 🎯 Best Use Cases: Day Trading: Use low sensitivity setting Enable all Strat patterns Watch for high volume signals Quick in/out trades Swing Trading: Use medium sensitivity Require timeframe continuity Focus on trendline breakouts Hold for target levels Position Trading: Use high sensitivity (fewer signals) Require strong momentum Focus on weekly/daily alignment Larger ATR multipliers 💡 Trading Strategy Tips: High-Probability Setups: Double Confirmation: Technical + Strat signal together Trend Alignment: All timeframes agree Volume Surge: Institutional participation Trendline Break: Clear level breakout Risk Management: Always use stops - System provides them Position sizing - Risk 1-2% per trade Don't chase - Wait for signal confirmation Take profits - System provides targets What Makes Signals Strong: ✅ Both technical AND Strat signals fire together ✅ Timeframe continuity (daily & weekly aligned) ✅ Volume surge confirms institutional interest ✅ Multiple indicators align (trend + momentum + RSI) ✅ Clean trendline breakout with no resistance above (or support below) ⚠️ Common Mistakes to Avoid: Don't ignore stops - System calculates them for a reason Don't overtrade - Wait for quality setups Don't disable volume filter - Unless you know what you're doing Don't use max sensitivity - You'll get too many signals Don't ignore timeframe continuity - It filters bad trades 🚀 Why This Indicator is Powerful: Combines Multiple Edge Sources: Technical analysis (trend, momentum, volume) Pattern recognition (Strat method) Risk management (dynamic stops/targets) Market structure (trendlines, support/resistance) Professional Features: No repainting - signals are final when bar closes Clear risk/reward before entry Multiple confirmation layers Adaptable to any market or timeframe Beginner Friendly: Clear visual signals Automatic calculations Built-in risk management Comprehensive dashboard This indicator essentially gives you everything a professional trader uses - trend analysis, momentum, patterns, volume, risk management - all in one clean package! Any specific aspect you'd like me to explain in more detail? 🎯RetryClaude can make mistakes. Please double-check responses. Sonnet 4.5
Indicador Pine Script®
por jmslimus
RSI Donchian Channel [DCAUT]█ RSI Donchian Channel 📊 ORIGINALITY & INNOVATION The RSI Donchian Channel represents an important synthesis of two complementary analytical frameworks: momentum oscillators and breakout detection systems. This indicator addresses a common limitation in traditional RSI analysis by replacing fixed overbought/oversold thresholds with adaptive zones derived from historical RSI extremes. Key Enhancement: Traditional RSI analysis relies on static threshold levels (typically 30/70), which may not adequately reflect changing market volatility regimes. This indicator adapts the reference zones dynamically based on the actual RSI behavior over the lookback period, helping traders identify meaningful momentum extremes relative to recent price action rather than arbitrary fixed levels. The implementation combines the proven momentum measurement capabilities of RSI with Donchian Channel's breakout detection methodology, creating a framework that identifies both momentum exhaustion points and potential continuation signals through the same analytical lens. 📐 MATHEMATICAL FOUNDATION Core Calculation Process: Step 1: RSI Calculation The Relative Strength Index measures momentum by comparing the magnitude of recent gains to recent losses: Calculate price changes between consecutive periods Separate positive changes (gains) from negative changes (losses) Apply selected smoothing method (RMA standard, also supports SMA, EMA, WMA) to both gain and loss series Compute Relative Strength (RS) as the ratio of smoothed gains to smoothed losses Transform RS into bounded 0-100 scale using the formula: RSI = 100 - (100 / (1 + RS)) Step 2: Donchian Channel Application The Donchian Channel identifies the highest and lowest RSI values within the specified lookback period: Upper Channel: Highest RSI value over the lookback period, represents the recent momentum peak Lower Channel: Lowest RSI value over the lookback period, represents the recent momentum trough Middle Channel (Basis): Average of upper and lower channels, serves as equilibrium reference Channel Width Dynamics: The distance between upper and lower channels reflects RSI volatility. Wide channels indicate high momentum variability, while narrow channels suggest momentum consolidation and potential breakout preparation. The indicator monitors channel width over a 100-period window to identify squeeze conditions that often precede significant momentum shifts. 📊 COMPREHENSIVE SIGNAL ANALYSIS Primary Signal Categories: Breakout Signals: Upper Breakout: RSI crosses above the upper channel, indicates momentum reaching new relative highs and potential trend continuation, particularly significant when accompanied by price confirmation Lower Breakout: RSI crosses below the lower channel, suggests momentum reaching new relative lows and potential trend exhaustion or reversal setup Breakout strength is enhanced when the channel is narrow prior to the breakout, indicating a transition from consolidation to directional movement Mean Reversion Signals: Upper Touch Without Breakout: RSI reaches the upper channel but fails to break through, may indicate momentum exhaustion and potential reversal opportunity Lower Touch Without Breakout: RSI reaches the lower channel without breakdown, suggests potential bounce as momentum reaches oversold extremes Return to Basis: RSI moving back toward the middle channel after touching extremes signals momentum normalization Trend Strength Assessment: Sustained Upper Channel Riding: RSI consistently remains near or above the upper channel during strong uptrends, indicates persistent bullish momentum Sustained Lower Channel Riding: RSI stays near or below the lower channel during strong downtrends, reflects persistent bearish pressure Basis Line Position: RSI position relative to the middle channel helps identify the prevailing momentum bias Channel Compression Patterns: Squeeze Detection: Channel width narrowing to 100-period lows indicates momentum consolidation, often precedes significant directional moves Expansion Phase: Channel widening after a squeeze confirms the initiation of a new momentum regime Persistent Narrow Channels: Extended periods of tight channels suggest market indecision and accumulation/distribution phases 🎯 STRATEGIC APPLICATIONS Trend Continuation Strategy: This approach focuses on identifying and trading momentum breakouts that confirm established trends: Identify the prevailing price trend using higher timeframe analysis or trend-following indicators Wait for RSI to break above the upper channel in uptrends (or below the lower channel in downtrends) Enter positions in the direction of the breakout when price action confirms the momentum shift Place protective stops below the recent swing low (long positions) or above swing high (short positions) Target profit levels based on prior swing extremes or use trailing stops to capture extended moves Exit when RSI crosses back through the basis line in the opposite direction Mean Reversion Strategy: This method capitalizes on momentum extremes and subsequent corrections toward equilibrium: Monitor for RSI reaching the upper or lower channel boundaries Look for rejection signals (price reversal patterns, volume divergence) when RSI touches the channels Enter counter-trend positions when RSI begins moving back toward the basis line Use the basis line as the initial profit target for mean reversion trades Implement tight stops beyond the channel extremes to limit risk on failed reversals Scale out of positions as RSI approaches the basis line and closes the position when RSI crosses the basis Breakout Preparation Strategy: This approach positions traders ahead of potential volatility expansion from consolidation phases: Identify squeeze conditions when channel width reaches 100-period lows Monitor price action for consolidation patterns (triangles, rectangles, flags) during the squeeze Prepare conditional orders for breakouts in both directions from the consolidation Enter positions when RSI breaks out of the narrow channel with expanding width Use the channel width expansion as a confirmation signal for the breakout's validity Manage risk with stops just inside the opposite channel boundary Multi-Timeframe Confluence Strategy: Combining RSI Donchian Channel analysis across multiple timeframes can improve signal reliability: Identify the primary trend direction using a higher timeframe RSI Donchian Channel (e.g., daily or weekly) Use a lower timeframe (e.g., 4-hour or hourly) to time precise entry points Enter long positions when both timeframes show RSI above their respective basis lines Enter short positions when both timeframes show RSI below their respective basis lines Avoid trades when timeframes provide conflicting signals (e.g., higher timeframe below basis, lower timeframe above) Exit when the higher timeframe RSI crosses its basis line in the opposite direction Risk Management Guidelines: Effective risk management is essential for all RSI Donchian Channel strategies: Position Sizing: Calculate position sizes based on the distance between entry point and stop loss, limiting risk to 1-2% of capital per trade Stop Loss Placement: For breakout trades, place stops just inside the opposite channel boundary; for mean reversion trades, use stops beyond the channel extremes Profit Targets: Use the basis line as a minimum target for mean reversion trades; for trend trades, target prior swing extremes or use trailing stops Channel Width Context: Increase position sizes during narrow channels (lower volatility) and reduce sizes during wide channels (higher volatility) Correlation Awareness: Monitor correlations between traded instruments to avoid over-concentration in similar setups 📋 DETAILED PARAMETER CONFIGURATION RSI Source: Defines the price data series used for RSI calculation: Close (Default): Standard choice providing end-of-period momentum assessment, suitable for most trading styles and timeframes High-Low Average (HL2): Reduces the impact of closing auction dynamics, useful for markets with significant end-of-day volatility High-Low-Close Average (HLC3): Provides a more balanced view incorporating the entire period's range Open-High-Low-Close Average (OHLC4): Offers the most comprehensive price representation, helpful for identifying overall period sentiment Strategy Consideration: Use Close for end-of-period signals, HL2 or HLC3 for intraday volatility reduction, OHLC4 for capturing full period dynamics RSI Length: Controls the number of periods used for RSI calculation: Short Periods (5-9): Highly responsive to recent price changes, produces more frequent signals with increased false signal risk, suitable for short-term trading and volatile markets Standard Period (14): Widely accepted default balancing responsiveness with stability, appropriate for swing trading and intermediate-term analysis Long Periods (21-28): Produces smoother RSI with fewer signals but more reliable trend identification, better for position trading and reducing noise in choppy markets Optimization Approach: Test different lengths against historical data for your specific market and timeframe, consider using longer periods in ranging markets and shorter periods in trending markets RSI MA Type: Determines the smoothing method applied to price changes in RSI calculation: RMA (Relative Moving Average - Default): Wilder's original smoothing method providing stable momentum measurement with gradual response to changes, maintains consistency with classical RSI interpretation SMA (Simple Moving Average): Treats all periods equally, responds more quickly to changes than RMA but may produce more whipsaws in volatile conditions EMA (Exponential Moving Average): Weights recent periods more heavily, increases responsiveness at the cost of potential noise, suitable for traders prioritizing early signal generation WMA (Weighted Moving Average): Applies linear weighting favoring recent data, offers a middle ground between SMA and EMA responsiveness Selection Guidance: Maintain RMA for consistency with traditional RSI analysis, use EMA or WMA for more responsive signals in fast-moving markets, apply SMA for maximum simplicity and transparency DC Length: Specifies the lookback period for Donchian Channel calculation on RSI values: Short Periods (10-14): Creates tight channels that adapt quickly to changing momentum conditions, generates more frequent trading signals but increases sensitivity to short-term RSI fluctuations Standard Period (20): Balances channel responsiveness with stability, aligns with traditional Bollinger Bands and moving average periods, suitable for most trading styles Long Periods (30-50): Produces wider, more stable channels that better represent sustained momentum extremes, reduces signal frequency while improving reliability, appropriate for position traders and higher timeframes Calibration Strategy: Match DC length to your trading timeframe (shorter for day trading, longer for swing trading), test channel width behavior during different market regimes, consider using adaptive periods that adjust to volatility conditions Market Adaptation: Use shorter DC lengths in trending markets to capture momentum shifts earlier, apply longer periods in ranging markets to filter noise and focus on significant extremes Parameter Combination Recommendations: Scalping/Day Trading: RSI Length 5-9, DC Length 10-14, EMA or WMA smoothing for maximum responsiveness Swing Trading: RSI Length 14, DC Length 20, RMA smoothing for balanced analysis (default configuration) Position Trading: RSI Length 21-28, DC Length 30-50, RMA or SMA smoothing for stable signals High Volatility Markets: Longer RSI periods (21+) with standard DC length (20) to reduce noise Low Volatility Markets: Standard RSI length (14) with shorter DC length (10-14) to capture subtle momentum shifts 📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES Adaptive Threshold Mechanism: Unlike traditional RSI analysis with fixed 30/70 thresholds, this indicator's Donchian Channel approach provides several improvements: Context-Aware Extremes: Overbought/oversold levels adjust automatically based on recent momentum behavior rather than arbitrary fixed values Volatility Adaptation: In low volatility periods, channels narrow to reflect tighter momentum ranges; in high volatility, channels widen appropriately Market Regime Recognition: The indicator implicitly adapts to different market conditions without manual threshold adjustments False Signal Reduction: Adaptive channels help reduce premature reversal signals that often occur with fixed thresholds during strong trends Signal Quality Characteristics: The indicator's dual-purpose design provides distinct advantages for different trading objectives: Breakout Trading: Channel boundaries offer clear, objective breakout levels that update dynamically, eliminating the ambiguity of when momentum becomes "too high" or "too low" Mean Reversion: The basis line provides a natural profit target for reversion trades, representing the midpoint of recent momentum extremes Trend Strength: Persistent channel boundary riding offers an objective measure of trend strength without additional indicators Consolidation Detection: Channel width analysis provides early warning of potential volatility expansion from compression phases Comparative Analysis: When compared to traditional RSI implementations and other momentum frameworks: vs. Fixed Threshold RSI: Provides market-adaptive reference levels rather than static values, helping to reduce false signals during trending markets where RSI can remain "overbought" or "oversold" for extended periods vs. RSI Bollinger Bands: Offers clearer breakout signals and more intuitive extreme identification through actual high/low boundaries rather than statistical standard deviations vs. Stochastic Oscillator: Maintains RSI's momentum measurement advantages (unbounded calculation avoiding scale compression) while adding the breakout detection capabilities of Donchian Channels vs. Standard Donchian Channels: Applies breakout methodology to momentum space rather than price, providing earlier signals of potential trend changes before price breakouts occur Performance Characteristics: The indicator exhibits specific behavioral patterns across different market conditions: Trending Markets: Excels at identifying momentum continuation through channel breakouts, RSI tends to ride one channel boundary during strong trends, providing trend confirmation Ranging Markets: Channel width narrows during consolidation, offering early preparation signals for potential breakout trading opportunities High Volatility: Channels widen to reflect increased momentum variability, automatically adjusting signal sensitivity to match market conditions Low Volatility: Channels contract, making the indicator more sensitive to subtle momentum shifts that may be significant in calm market environments Transition Periods: Channel squeezes often precede major trend changes, offering advance warning of potential regime shifts Limitations and Considerations: Users should be aware of certain operational characteristics: Lookback Dependency: Channel boundaries depend entirely on the lookback period, meaning the indicator has no predictive element beyond identifying current momentum relative to recent history Lag Characteristics: As with all moving average-based indicators, RSI calculation introduces lag, and channel boundaries update only as new extremes occur within the lookback window Range-Bound Sensitivity: In extremely tight ranges, channels may become very narrow, potentially generating excessive signals from minor momentum fluctuations Trending Persistence: During very strong trends, RSI may remain at channel extremes for extended periods, requiring patience for mean reversion setups or commitment to trend-following approaches No Absolute Levels: Unlike traditional RSI, this indicator provides no fixed reference points (like 50), making it less suitable for strategies that depend on absolute momentum readings USAGE NOTES This indicator is designed for technical analysis and educational purposes to help traders understand momentum dynamics and identify potential trading opportunities. The RSI Donchian Channel has limitations and should not be used as the sole basis for trading decisions. Important considerations: Performance varies significantly across different market conditions, timeframes, and instruments Historical signal patterns do not guarantee future results, as market behavior continuously evolves Effective use requires understanding of both RSI momentum principles and Donchian Channel breakout concepts Risk management practices (stop losses, position sizing, diversification) are essential for any trading application Consider combining with additional analytical tools such as volume analysis, price action patterns, or trend indicators for confirmation Backtest thoroughly on your specific instruments and timeframes before live trading implementation Be aware that optimization on historical data may lead to curve-fitting and poor forward performance The indicator performs best when used as part of a comprehensive trading methodology that incorporates multiple forms of market analysis, sound risk management, and realistic expectations about win rates and drawdowns.
Indicador Pine Script®
por DCAUT
Keltner Channel Enhanced [DCAUT]█ Keltner Channel Enhanced 📊 ORIGINALITY & INNOVATION The Keltner Channel Enhanced represents an important advancement over standard Keltner Channel implementations by introducing dual flexibility in moving average selection for both the middle band and ATR calculation. While traditional Keltner Channels typically use EMA for the middle band and RMA (Wilder's smoothing) for ATR, this enhanced version provides access to 25+ moving average algorithms for both components, enabling traders to fine-tune the indicator's behavior to match specific market characteristics and trading approaches. Key Advancements: Dual MA Algorithm Flexibility: Independent selection of moving average types for middle band (25+ options) and ATR smoothing (25+ options), allowing optimization of both trend identification and volatility measurement separately Enhanced Trend Sensitivity: Ability to use faster algorithms (HMA, T3) for middle band while maintaining stable volatility measurement with traditional ATR smoothing, or vice versa for different trading strategies Adaptive Volatility Measurement: Choice of ATR smoothing algorithm affects channel responsiveness to volatility changes, from highly reactive (SMA, EMA) to smoothly adaptive (RMA, TEMA) Comprehensive Alert System: Five distinct alert conditions covering breakouts, trend changes, and volatility expansion, enabling automated monitoring without constant chart observation Multi-Timeframe Compatibility: Works effectively across all timeframes from intraday scalping to long-term position trading, with independent optimization of trend and volatility components This implementation addresses key limitations of standard Keltner Channels: fixed EMA/RMA combination may not suit all market conditions or trading styles. By decoupling the trend component from volatility measurement and allowing independent algorithm selection, traders can create highly customized configurations for specific instruments and market phases. 📐 MATHEMATICAL FOUNDATION Keltner Channel Enhanced uses a three-component calculation system that combines a flexible moving average middle band with ATR-based (Average True Range) upper and lower channels, creating volatility-adjusted trend-following bands. Core Calculation Process: 1. Middle Band (Basis) Calculation: The basis line is calculated using the selected moving average algorithm applied to the price source over the specified period: basis = ma(source, length, maType) Supported algorithms include EMA (standard choice, trend-biased), SMA (balanced and symmetric), HMA (reduced lag), WMA, VWMA, TEMA, T3, KAMA, and 17+ others. 2. Average True Range (ATR) Calculation: ATR measures market volatility by calculating the average of true ranges over the specified period: trueRange = max(high - low, abs(high - close ), abs(low - close )) atrValue = ma(trueRange, atrLength, atrMaType) ATR smoothing algorithm significantly affects channel behavior, with options including RMA (standard, very smooth), SMA (moderate smoothness), EMA (fast adaptation), TEMA (smooth yet responsive), and others. 3. Channel Calculation: Upper and lower channels are positioned at specified multiples of ATR from the basis: upperChannel = basis + (multiplier × atrValue) lowerChannel = basis - (multiplier × atrValue) Standard multiplier is 2.0, providing channels that dynamically adjust width based on market volatility. Keltner Channel vs. Bollinger Bands - Key Differences: While both indicators create volatility-based channels, they use fundamentally different volatility measures: Keltner Channel (ATR-based): Uses Average True Range to measure actual price movement volatility Incorporates gaps and limit moves through true range calculation More stable in trending markets, less prone to extreme compression Better reflects intraday volatility and trading range Typically fewer band touches, making touches more significant More suitable for trend-following strategies Bollinger Bands (Standard Deviation-based): Uses statistical standard deviation to measure price dispersion Based on closing prices only, doesn't account for intraday range Can compress significantly during consolidation (squeeze patterns) More touches in ranging markets Better suited for mean-reversion strategies Provides statistical probability framework (95% within 2 standard deviations) Algorithm Combination Effects: The interaction between middle band MA type and ATR MA type creates different indicator characteristics: Trend-Focused Configuration (Fast MA + Slow ATR): Middle band uses HMA/EMA/T3, ATR uses RMA/TEMA, quick trend changes with stable channel width, suitable for trend-following Volatility-Focused Configuration (Slow MA + Fast ATR): Middle band uses SMA/WMA, ATR uses EMA/SMA, stable trend with dynamic channel width, suitable for volatility trading Balanced Configuration (Standard EMA/RMA): Classic Keltner Channel behavior, time-tested combination, suitable for general-purpose trend following Adaptive Configuration (KAMA + KAMA): Self-adjusting indicator responding to efficiency ratio, suitable for markets with varying trend strength and volatility regimes 📊 COMPREHENSIVE SIGNAL ANALYSIS Keltner Channel Enhanced provides multiple signal categories optimized for trend-following and breakout strategies. Channel Position Signals: Upper Channel Interaction: Price Touching Upper Channel: Strong bullish momentum, price moving more than typical volatility range suggests, potential continuation signal in established uptrends Price Breaking Above Upper Channel: Exceptional strength, price exceeding normal volatility expectations, consider adding to long positions or tightening trailing stops Price Riding Upper Channel: Sustained strong uptrend, characteristic of powerful bull moves, stay with trend and avoid premature profit-taking Price Rejection at Upper Channel: Momentum exhaustion signal, consider profit-taking on longs or waiting for pullback to middle band for reentry Lower Channel Interaction: Price Touching Lower Channel: Strong bearish momentum, price moving more than typical volatility range suggests, potential continuation signal in established downtrends Price Breaking Below Lower Channel: Exceptional weakness, price exceeding normal volatility expectations, consider adding to short positions or protecting against further downside Price Riding Lower Channel: Sustained strong downtrend, characteristic of powerful bear moves, stay with trend and avoid premature covering Price Rejection at Lower Channel: Momentum exhaustion signal, consider covering shorts or waiting for bounce to middle band for reentry Middle Band (Basis) Signals: Trend Direction Confirmation: Price Above Basis: Bullish trend bias, middle band acts as dynamic support in uptrends, consider long positions or holding existing longs Price Below Basis: Bearish trend bias, middle band acts as dynamic resistance in downtrends, consider short positions or avoiding longs Price Crossing Above Basis: Potential trend change from bearish to bullish, early signal to establish long positions Price Crossing Below Basis: Potential trend change from bullish to bearish, early signal to establish short positions or exit longs Pullback Trading Strategy: Uptrend Pullback: Price pulls back from upper channel to middle band, finds support, and resumes upward, ideal long entry point Downtrend Bounce: Price bounces from lower channel to middle band, meets resistance, and resumes downward, ideal short entry point Basis Test: Strong trends often show price respecting the middle band as support/resistance on pullbacks Failed Test: Price breaking through middle band against trend direction signals potential reversal Volatility-Based Signals: Narrow Channels (Low Volatility): Consolidation Phase: Channels contract during periods of reduced volatility and directionless price action Breakout Preparation: Narrow channels often precede significant directional moves as volatility cycles Trading Approach: Reduce position sizes, wait for breakout confirmation, avoid range-bound strategies within channels Breakout Direction: Monitor for price breaking decisively outside channel range with expanding width Wide Channels (High Volatility): Trending Phase: Channels expand during strong directional moves and increased volatility Momentum Confirmation: Wide channels confirm genuine trend with substantial volatility backing Trading Approach: Trend-following strategies excel, wider stops necessary, mean-reversion strategies risky Exhaustion Signs: Extreme channel width (historical highs) may signal approaching consolidation or reversal Advanced Pattern Recognition: Channel Walking Pattern: Upper Channel Walk: Price consistently touches or exceeds upper channel while staying above basis, very strong uptrend signal, hold longs aggressively Lower Channel Walk: Price consistently touches or exceeds lower channel while staying below basis, very strong downtrend signal, hold shorts aggressively Basis Support/Resistance: During channel walks, price typically uses middle band as support/resistance on minor pullbacks Pattern Break: Price crossing basis during channel walk signals potential trend exhaustion Squeeze and Release Pattern: Squeeze Phase: Channels narrow significantly, price consolidates near middle band, volatility contracts Direction Clues: Watch for price positioning relative to basis during squeeze (above = bullish bias, below = bearish bias) Release Trigger: Price breaking outside narrow channel range with expanding width confirms breakout Follow-Through: Measure squeeze height and project from breakout point for initial profit targets Channel Expansion Pattern: Breakout Confirmation: Rapid channel widening confirms volatility increase and genuine trend establishment Entry Timing: Enter positions early in expansion phase before trend becomes overextended Risk Management: Use channel width to size stops appropriately, wider channels require wider stops Basis Bounce Pattern: Clean Bounce: Price touches middle band and immediately reverses, confirms trend strength and entry opportunity Multiple Bounces: Repeated basis bounces indicate strong, sustainable trend Bounce Failure: Price penetrating basis signals weakening trend and potential reversal Divergence Analysis: Price/Channel Divergence: Price makes new high/low while staying within channel (not reaching outer band), suggests momentum weakening Width/Price Divergence: Price breaks to new extremes but channel width contracts, suggests move lacks conviction Reversal Signal: Divergences often precede trend reversals or significant consolidation periods Multi-Timeframe Analysis: Keltner Channels work particularly well in multi-timeframe trend-following approaches: Three-Timeframe Alignment: Higher Timeframe (Weekly/Daily): Identify major trend direction, note price position relative to basis and channels Intermediate Timeframe (Daily/4H): Identify pullback opportunities within higher timeframe trend Lower Timeframe (4H/1H): Time precise entries when price touches middle band or lower channel (in uptrends) with rejection Optimal Entry Conditions: Best Long Entries: Higher timeframe in uptrend (price above basis), intermediate timeframe pulls back to basis, lower timeframe shows rejection at middle band or lower channel Best Short Entries: Higher timeframe in downtrend (price below basis), intermediate timeframe bounces to basis, lower timeframe shows rejection at middle band or upper channel Risk Management: Use higher timeframe channel width to set position sizing, stops below/above higher timeframe channels 🎯 STRATEGIC APPLICATIONS Keltner Channel Enhanced excels in trend-following and breakout strategies across different market conditions. Trend Following Strategy: Setup Requirements: Identify established trend with price consistently on one side of basis line Wait for pullback to middle band (basis) or brief penetration through it Confirm trend resumption with price rejection at basis and move back toward outer channel Enter in trend direction with stop beyond basis line Entry Rules: Uptrend Entry: Price pulls back from upper channel to middle band, shows support at basis (bullish candlestick, momentum divergence) Enter long on rejection/bounce from basis with stop 1-2 ATR below basis Aggressive: Enter on first touch; Conservative: Wait for confirmation candle Downtrend Entry: Price bounces from lower channel to middle band, shows resistance at basis (bearish candlestick, momentum divergence) Enter short on rejection/reversal from basis with stop 1-2 ATR above basis Aggressive: Enter on first touch; Conservative: Wait for confirmation candle Trend Management: Trailing Stop: Use basis line as dynamic trailing stop, exit if price closes beyond basis against position Profit Taking: Take partial profits at opposite channel, move stops to basis Position Additions: Add to winners on subsequent basis bounces if trend intact Breakout Strategy: Setup Requirements: Identify consolidation period with contracting channel width Monitor price action near middle band with reduced volatility Wait for decisive breakout beyond channel range with expanding width Enter in breakout direction after confirmation Breakout Confirmation: Price breaks clearly outside channel (upper for longs, lower for shorts), channel width begins expanding from contracted state Volume increases significantly on breakout (if using volume analysis) Price sustains outside channel for multiple bars without immediate reversal Entry Approaches: Aggressive: Enter on initial break with stop at opposite channel or basis, use smaller position size Conservative: Wait for pullback to broken channel level, enter on rejection and resumption, tighter stop Volatility-Based Position Sizing: Adjust position sizing based on channel width (ATR-based volatility): Wide Channels (High ATR): Reduce position size as stops must be wider, calculate position size using ATR-based risk calculation: Risk / (Stop Distance in ATR × ATR Value) Narrow Channels (Low ATR): Increase position size as stops can be tighter, be cautious of impending volatility expansion ATR-Based Risk Management: Use ATR-based risk calculations, position size = 0.01 × Capital / (2 × ATR), use multiples of ATR (1-2 ATR) for adaptive stops Algorithm Selection Guidelines: Different market conditions benefit from different algorithm combinations: Strong Trending Markets: Middle band use EMA or HMA, ATR use RMA, capture trends quickly while maintaining stable channel width Choppy/Ranging Markets: Middle band use SMA or WMA, ATR use SMA or WMA, avoid false trend signals while identifying genuine reversals Volatile Markets: Middle band and ATR both use KAMA or FRAMA, self-adjusting to changing market conditions reduces manual optimization Breakout Trading: Middle band use SMA, ATR use EMA or SMA, stable trend with dynamic channels highlights volatility expansion early Scalping/Day Trading: Middle band use HMA or T3, ATR use EMA or TEMA, both components respond quickly Position Trading: Middle band use EMA/TEMA/T3, ATR use RMA or TEMA, filter out noise for long-term trend-following 📋 DETAILED PARAMETER CONFIGURATION Understanding and optimizing parameters is essential for adapting Keltner Channel Enhanced to specific trading approaches. Source Parameter: Close (Most Common): Uses closing price, reflects daily settlement, best for end-of-day analysis and position trading, standard choice HL2 (Median Price): Smooths out closing bias, better represents full daily range in volatile markets, good for swing trading HLC3 (Typical Price): Gives more weight to close while including full range, popular for intraday applications, slightly more responsive than HL2 OHLC4 (Average Price): Most comprehensive price representation, smoothest option, good for gap-prone markets or highly volatile instruments Length Parameter: Controls the lookback period for middle band (basis) calculation: Short Periods (10-15): Very responsive to price changes, suitable for day trading and scalping, higher false signal rate Standard Period (20 - Default): Represents approximately one month of trading, good balance between responsiveness and stability, suitable for swing and position trading Medium Periods (30-50): Smoother trend identification, fewer false signals, better for position trading and longer holding periods Long Periods (50+): Very smooth, identifies major trends only, minimal false signals but significant lag, suitable for long-term investment Optimization by Timeframe: 1-15 minute charts use 10-20 period, 30-60 minute charts use 20-30 period, 4-hour to daily charts use 20-40 period, weekly charts use 20-30 weeks. ATR Length Parameter: Controls the lookback period for Average True Range calculation, affecting channel width: Short ATR Periods (5-10): Very responsive to recent volatility changes, standard is 10 (Keltner's original specification), may be too reactive in whipsaw conditions Standard ATR Period (10 - Default): Chester Keltner's original specification, good balance between responsiveness and stability, most widely used Medium ATR Periods (14-20): Smoother channel width, ATR 14 aligns with Wilder's original ATR specification, good for position trading Long ATR Periods (20+): Very smooth channel width, suitable for long-term trend-following Length vs. ATR Length Relationship: Equal values (20/20) provide balanced responsiveness, longer ATR (20/14) gives more stable channel width, shorter ATR (20/10) is standard configuration, much shorter ATR (20/5) creates very dynamic channels. Multiplier Parameter: Controls channel width by setting ATR multiples: Lower Values (1.0-1.5): Tighter channels with frequent price touches, more trading signals, higher false signal rate, better for range-bound and mean-reversion strategies Standard Value (2.0 - Default): Chester Keltner's recommended setting, good balance between signal frequency and reliability, suitable for both trending and ranging strategies Higher Values (2.5-3.0): Wider channels with less frequent touches, fewer but potentially higher-quality signals, better for strong trending markets Market-Specific Optimization: High volatility markets (crypto, small-caps) use 2.5-3.0 multiplier, medium volatility markets (major forex, large-caps) use 2.0 multiplier, low volatility markets (bonds, utilities) use 1.5-2.0 multiplier. MA Type Parameter (Middle Band): Critical selection that determines trend identification characteristics: EMA (Exponential Moving Average - Default): Standard Keltner Channel choice, Chester Keltner's original specification, emphasizes recent prices, faster response to trend changes, suitable for all timeframes SMA (Simple Moving Average): Equal weighting of all data points, no directional bias, slower than EMA, better for ranging markets and mean-reversion HMA (Hull Moving Average): Minimal lag with smooth output, excellent for fast trend identification, best for day trading and scalping TEMA (Triple Exponential Moving Average): Advanced smoothing with reduced lag, responsive to trends while filtering noise, suitable for volatile markets T3 (Tillson T3): Very smooth with minimal lag, excellent for established trend identification, suitable for position trading KAMA (Kaufman Adaptive Moving Average): Automatically adjusts speed based on market efficiency, slow in ranging markets, fast in trends, suitable for markets with varying conditions ATR MA Type Parameter: Determines how Average True Range is smoothed, affecting channel width stability: RMA (Wilder's Smoothing - Default): J. Welles Wilder's original ATR smoothing method, very smooth, slow to adapt to volatility changes, provides stable channel width SMA (Simple Moving Average): Equal weighting, moderate smoothness, faster response to volatility changes than RMA, more dynamic channel width EMA (Exponential Moving Average): Emphasizes recent volatility, quick adaptation to new volatility regimes, very responsive channel width changes TEMA (Triple Exponential Moving Average): Smooth yet responsive, good balance for varying volatility, suitable for most trading styles Parameter Combination Strategies: Conservative Trend-Following: Length 30/ATR Length 20/Multiplier 2.5, MA Type EMA or TEMA/ATR MA Type RMA, smooth trend with stable wide channels, suitable for position trading Standard Balanced Approach: Length 20/ATR Length 10/Multiplier 2.0, MA Type EMA/ATR MA Type RMA, classic Keltner Channel configuration, suitable for general purpose swing trading Aggressive Day Trading: Length 10-15/ATR Length 5-7/Multiplier 1.5-2.0, MA Type HMA or EMA/ATR MA Type EMA or SMA, fast trend with dynamic channels, suitable for scalping and day trading Breakout Specialist: Length 20-30/ATR Length 5-10/Multiplier 2.0, MA Type SMA or WMA/ATR MA Type EMA or SMA, stable trend with responsive channel width Adaptive All-Conditions: Length 20/ATR Length 10/Multiplier 2.0, MA Type KAMA or FRAMA/ATR MA Type KAMA or TEMA, self-adjusting to market conditions Offset Parameter: Controls horizontal positioning of channels on chart. Positive values shift channels to the right (future) for visual projection, negative values shift left (past) for historical analysis, zero (default) aligns with current price bars for real-time signal analysis. Offset affects only visual display, not alert conditions or actual calculations. 📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES Keltner Channel Enhanced provides improvements over standard implementations while maintaining proven effectiveness. Response Characteristics: Standard EMA/RMA Configuration: Moderate trend lag (approximately 0.4 × length periods), smooth and stable channel width from RMA smoothing, good balance for most market conditions Fast HMA/EMA Configuration: Approximately 60% reduction in trend lag compared to EMA, responsive channel width from EMA ATR smoothing, suitable for quick trend changes and breakouts Adaptive KAMA/KAMA Configuration: Variable lag based on market efficiency, automatic adjustment to trending vs. ranging conditions, self-optimizing behavior reduces manual intervention Comparison with Traditional Keltner Channels: Enhanced Version Advantages: Dual Algorithm Flexibility: Independent MA selection for trend and volatility vs. fixed EMA/RMA, separate tuning of trend responsiveness and channel stability Market Adaptation: Choose configurations optimized for specific instruments and conditions, customize for scalping, swing, or position trading preferences Comprehensive Alerts: Enhanced alert system including channel expansion detection Traditional Version Advantages: Simplicity: Fewer parameters, easier to understand and implement Standardization: Fixed EMA/RMA combination ensures consistency across users Research Base: Decades of backtesting and research on standard configuration When to Use Enhanced Version: Trading multiple instruments with different characteristics, switching between trending and ranging markets, employing different strategies, algorithm-based trading systems requiring customization, seeking optimization for specific trading style and timeframe. When to Use Standard Version: Beginning traders learning Keltner Channel concepts, following published research or trading systems, preferring simplicity and standardization, wanting to avoid optimization and curve-fitting risks. Performance Across Market Conditions: Strong Trending Markets: EMA or HMA basis with RMA or TEMA ATR smoothing provides quicker trend identification, pullbacks to basis offer excellent entry opportunities Choppy/Ranging Markets: SMA or WMA basis with RMA ATR smoothing and lower multipliers, channel bounce strategies work well, avoid false breakouts Volatile Markets: KAMA or FRAMA with EMA or TEMA, adaptive algorithms excel by automatic adjustment, wider multipliers (2.5-3.0) accommodate large price swings Low Volatility/Consolidation: Channels narrow significantly indicating consolidation, algorithm choice less impactful, focus on detecting channel width contraction for breakout preparation Keltner Channel vs. Bollinger Bands - Usage Comparison: Favor Keltner Channels When: Trend-following is primary strategy, trading volatile instruments with gaps, want ATR-based volatility measurement, prefer fewer higher-quality channel touches, seeking stable channel width during trends. Favor Bollinger Bands When: Mean-reversion is primary strategy, trading instruments with limited gaps, want statistical framework based on standard deviation, need squeeze patterns for breakout identification, prefer more frequent trading opportunities. Use Both Together: Bollinger Band squeeze + Keltner Channel breakout is powerful combination, price outside Bollinger Bands but inside Keltner Channels indicates moderate signal, price outside both indicates very strong signal, Bollinger Bands for entries and Keltner Channels for trend confirmation. Limitations and Considerations: General Limitations: Lagging Indicator: All moving averages lag price, even with reduced-lag algorithms Trend-Dependent: Works best in trending markets, less effective in choppy conditions No Direction Prediction: Indicates volatility and deviation, not future direction, requires confirmation Enhanced Version Specific Considerations: Optimization Risk: More parameters increase risk of curve-fitting historical data Complexity: Additional choices may overwhelm beginning traders Backtesting Challenges: Different algorithms produce different historical results Mitigation Strategies: Use Confirmation: Combine with momentum indicators (RSI, MACD), volume, or price action Test Parameter Robustness: Ensure parameters work across range of values, not just optimized ones Multi-Timeframe Analysis: Confirm signals across different timeframes Proper Risk Management: Use appropriate position sizing and stops Start Simple: Begin with standard EMA/RMA before exploring alternatives Optimal Usage Recommendations: For Maximum Effectiveness: Start with standard EMA/RMA configuration to understand classic behavior Experiment with alternatives on demo account or paper trading Match algorithm combination to market condition and trading style Use channel width analysis to identify market phases Combine with complementary indicators for confirmation Implement strict risk management using ATR-based position sizing Focus on high-quality setups rather than trading every signal Respect the trend: trade with basis direction for higher probability Complementary Indicators: RSI or Stochastic: Confirm momentum at channel extremes MACD: Confirm trend direction and momentum shifts Volume: Validate breakouts and trend strength ADX: Measure trend strength, avoid Keltner signals in weak trends Support/Resistance: Combine with traditional levels for high-probability setups Bollinger Bands: Use together for enhanced breakout and volatility analysis USAGE NOTES This indicator is designed for technical analysis and educational purposes. Keltner Channel Enhanced has limitations and should not be used as the sole basis for trading decisions. While the flexible moving average selection for both trend and volatility components provides valuable adaptability across different market conditions, algorithm performance varies with market conditions, and past characteristics do not guarantee future results. Key considerations: Always use multiple forms of analysis and confirmation before entering trades Backtest any parameter combination thoroughly before live trading Be aware that optimization can lead to curve-fitting if not done carefully Start with standard EMA/RMA settings and adjust only when specific conditions warrant Understand that no moving average algorithm can eliminate lag entirely Consider market regime (trending, ranging, volatile) when selecting parameters Use ATR-based position sizing and risk management on every trade Keltner Channels work best in trending markets, less effective in choppy conditions Respect the trend direction indicated by price position relative to basis line The enhanced flexibility of dual algorithm selection provides powerful tools for adaptation but requires responsible use, thorough understanding of how different algorithms behave under various market conditions, and disciplined risk management.
Indicador Pine Script®
por DCAUT
EAOBS by MIGVersion 1 1. Strategy Overview Objective: Capitalize on breakout movements in Ethereum (ETH) price after the Asian open pre-market session (7:00 PM–7:59 PM EST) by identifying high and low prices during the session and trading breakouts above the high or below the low. Timeframe: Any (script is timeframe-agnostic, but align with session timing). Session: Pre-market session (7:00 PM–7:59 PM EST, adjustable for other time zones, e.g., 12:00 AM–12:59 AM GMT). Risk-Reward Ratios (R:R): Targets range from 1.2:1 to 5.2:1, with a fixed stop loss. Instrument: Ethereum (ETH/USD or ETH-based pairs). 2. Market Setup Session Monitoring: Monitor ETH price action during the pre-market session (7:00 PM–7:59 PM EST), which aligns with the Asian market open (e.g., 9:00 AM–9:59 AM JST). The script tracks the highest high and lowest low during this session. Breakout Triggers: Buy Signal: Price breaks above the session’s high after the session ends (7:59 PM EST). Sell Signal: Price breaks below the session’s low after the session ends. Visualization: The session is highlighted on the chart with a white background. Horizontal lines are drawn at the session’s high and low, extended for 30 bars, along with take-profit (TP) and stop-loss (SL) levels. 3. Entry Rules Long (Buy) Entry: Enter a long position when the price breaks above the session’s high price after 7:59 PM EST. Entry price: Just above the session high (e.g., add a small buffer, like 0.1–0.5%, to avoid false breakouts, depending on volatility). Short (Sell) Entry: Enter a short position when the price breaks below the session’s low price after 7:59 PM EST. Entry price: Just below the session low (e.g., subtract a small buffer, like 0.1–0.5%). Confirmation: Use a candlestick close above/below the breakout level to confirm the entry. Optionally, add volume confirmation or a momentum indicator (e.g., RSI or MACD) to filter out weak breakouts. Position Size: Calculate position size based on risk tolerance (e.g., 1–2% of account per trade). Risk is determined by the stop-loss distance (10 points, as defined in the script). 4. Exit Rules Take-Profit Levels (in points, based on script inputs):TP1: 12 points (1.2:1 R:R). TP2: 22 points (2.2:1 R:R). TP3: 32 points (3.2:1 R:R). TP4: 42 points (4.2:1 R:R). TP5: 52 points (5.2:1 R:R). Example for Long: If session high is 3000, TP levels are 3012, 3022, 3032, 3042, 3052. Example for Short: If session low is 2950, TP levels are 2938, 2928, 2918, 2908, 2898. Strategy: Scale out of the position (e.g., close 20% at TP1, 20% at TP2, etc.) or take full profit at a preferred TP level based on market conditions. Stop-Loss: Fixed at 10 points from the entry. Long SL: Session high - 10 points (e.g., entry at 3000, SL at 2990). Short SL: Session low + 10 points (e.g., entry at 2950, SL at 2960). Trailing Stop (Optional):After reaching TP2 or TP3, consider trailing the stop to lock in profits (e.g., trail by 10–15 points below the current price). 5. Risk Management per Trade: Limit risk to 1–2% of your trading account per trade. Calculate position size: Account Size × Risk % ÷ (Stop-Loss Distance × ETH Price per Point). Example: $10,000 account, 1% risk = $100. If SL = 10 points and 1 point = $1, position size = $100 ÷ 10 = 0.1 ETH. Daily Risk Limit: Cap daily losses at 3–5% of the account to avoid overtrading. Maximum Exposure: Avoid taking both long and short positions simultaneously unless using separate accounts or strategies. Volatility Consideration: Adjust position size during high-volatility periods (e.g., major news events like Ethereum upgrades or macroeconomic announcements). 6. Trade Management Monitoring :Watch for breakouts after 7:59 PM EST. Monitor price action near TP and SL levels using alerts or manual checks. Trade Duration: Breakout lines extend for 30 bars (script parameter). Close trades if no TP or SL is hit within this period, or reassess based on market conditions. Adjustments: If the market shows strong momentum, consider holding beyond TP5 with a trailing stop. If the breakout fails (e.g., price reverses before TP1), exit early to minimize losses. 7. Additional Considerations Market Conditions: The 7:00 PM–7:59 PM EST session aligns with the Asian market open (e.g., Tokyo Stock Exchange open at 9:00 AM JST), which may introduce higher volatility due to Asian trading activity. Avoid trading during low-liquidity periods or extreme volatility (e.g., major crypto news). Check for upcoming events (e.g., Ethereum network upgrades, ETF decisions) that could impact price. Backtesting: Test the strategy on historical ETH data using the session high/low breakouts for the 7:00 PM–7:59 PM EST window to validate performance. Adjust TP/SL levels based on backtest results if needed. Broker and Fees: Use a low-fee crypto exchange (e.g., Binance, Kraken, Coinbase Pro) to maximize R:R. Account for trading fees and slippage in your position sizing. Time zone Adjustment: Adjust session time input for your time zone (e.g., "0000-0059" for GMT). Ensure your trading platform’s clock aligns with the script’s time zone (default: America/New_York). 8. Example Trade Scenario: Session (7:00 PM–7:59 PM EST) records a high of 3050 and a low of 3000. Long Trade: Entry: Price breaks above 3050 (e.g., enter at 3051). TP Levels: 3063 (TP1), 3073 (TP2), 3083 (TP3), 3093 (TP4), 3103 (TP5). SL: 3040 (3050 - 10). Position Size: For a $10,000 account, 1% risk = $100. SL = 11 points ($11). Size = $100 ÷ 11 = ~0.09 ETH. Short Trade: Entry: Price breaks below 3000 (e.g., enter at 2999). TP Levels: 2987 (TP1), 2977 (TP2), 2967 (TP3), 2957 (TP4), 2947 (TP5). SL: 3010 (3000 + 10). Position Size: Same as above, ~0.09 ETH. Execution: Set alerts for breakouts, enter with limit orders, and monitor TPs/SL. 9. Tools and Setup Platform: Use TradingView to implement the Pine Script and visualize breakout levels. Alerts: Set price alerts for breakouts above the session high or below the session low after 7:59 PM EST. Set alerts for TP and SL levels. Chart Settings: Use a 1-minute or 5-minute chart for precise session tracking. Overlay the script to see high/low lines, TP levels, and SL levels. Optional Indicators: Add RSI (e.g., avoid overbought/oversold breakouts) or volume to confirm breakouts. 10. Risk Warnings Crypto Volatility: ETH is highly volatile; unexpected news can cause rapid price swings. False Breakouts: Breakouts may fail, especially in low-volume sessions. Use confirmation signals. Leverage: Avoid high leverage (e.g., >5x) to prevent liquidation during volatile moves. Session Accuracy: Ensure correct session timing for your time zone to avoid misaligned entries. 11. Performance Tracking Journaling :Record each trade’s entry, exit, R:R, and outcome. Note market conditions (e.g., trending, ranging, news-driven). Review: Weekly: Assess win rate, average R:R, and adherence to the plan. Monthly: Adjust TP/SL or session timing based on performance.
Indicador Pine Script®
por levijames7
Advanced Range Theory - ART📊 Advanced Range Theory (ART): The Institutional Blueprint Stop drawing lines. Start reading the blueprint of the market. Advanced Range Theory (ART) is not another support and resistance indicator; it is a military-grade market structure engine designed to decode the language of institutional capital. It operates on a single, powerful premise: markets move in phases of consolidation and expansion, and the key to anticipation lies in understanding the complete lifecycle of these phases. ART provides a living, breathing map of the battlefield, identifying institutional accumulation zones and tracking them with unparalleled precision from their inception as "Pending" ranges to their ultimate classification after a breakout. This is your X-ray into the market's skeletal structure. 🔬 THEORETICAL FRAMEWORK: THE ARCHITECTURE OF PRICE ACTION ART is built on a multi-layered system of logic that moves beyond static levels. It treats ranges as dynamic entities with a narrative—a beginning, a middle, and an end. The core of the system is the dynamic classification engine, which analyzes not just the range, but the character of the price action that resolves it. 1. The Range Lifecycle: From Accumulation to Classification This is the revolutionary heart of ART. A range's true identity is only revealed by how it is broken. Phase 1: PENDING (Yellow): A new range is identified based on a period of price consolidation (a "parent" candle followed by a minimum number of "inside" candles). At this stage, it is a neutral zone of potential energy—an area where institutions are likely building positions. It is a question the market has not yet answered. Phase 2: MITIGATION & CLASSIFICATION: When price breaks out and reaches a calculated extension level, the range is considered "mitigated." At this exact moment, ART analyzes the breakout's DNA to classify the range's true intent: TYPE 1 - BREAKOUT (Blue): Characterized by a strong, impulsive move with confirming volume. This is a high-conviction breakout, signaling aggressive institutional participation and the likely start of a new trend. It is a statement of intent. TYPE 2 - REVERSAL (Orange): Occurs when price attempts to break one way but is aggressively rejected, reversing and breaking out the other side. This signals absorption and a "failed auction," often marking significant market turning points. TYPE 3 - PIVOT (Green): A more balanced breakout, lacking the explosive momentum of a Type 1. This often represents a resolution after a period of indecision or a pivot within a larger trading range. 2. The Hierarchical Map: Source & S/R Levels ART doesn't just draw boxes; it builds a genealogical map of market structure. SOURCE LEVEL (Thick Gold Line): This is the "genesis" point—the most recently mitigated range. It acts as the primary point of origin for the current market swing and serves as a critical level for determining overall bias. Price action above the Source is generally bullish; below is bearish. S/R LEVELS (Cyan Lines): When a range is mitigated, the price level where it broke becomes a key Support/Resistance zone for the future. ART tracks the two most recent S/R levels, as these often act as powerful magnets or rejection points for price. 3. The Multi-Factor Validation Engine To eliminate noise and focus only on institutionally significant ranges, every potential range must pass a rigorous quality control check: Time-Based Consolidation: Requires a minimum number of consecutive inside candles (minInsideCandles), ensuring a true period of balance. Volatility-Based Significance: The range's size must be greater than a multiple of the Average True Range (minRangeSize), filtering out insignificant micro-consolidations. Participation Confirmation: The parent candle of the range is checked against average volume to ensure there was meaningful activity during its formation. ⚙️ THE COMMAND CONSOLE: CONFIGURING YOUR ART ENGINE Every input is designed to give you granular control over the detection engine, allowing you to tune ART to any market or timeframe with precision. Each tooltip in the script provides a deep dive, but here is a summary of the core controls. 🎯 ART Detection Engine Minimum Inside Candles: The soul of the detection algorithm. It defines the minimum number of bars that must be contained within a single "parent" candle to qualify as a range. Higher values (3-4) find major, significant consolidation zones. Lower values (1-2) are more sensitive and will identify shorter-term accumulation patterns. Extension Multiplier & Fibonacci Extension: These control the profit target projections. The Extension Multiplier uses a simple measured move (e.g., 1.0 = a 1:1 projection of the range's height). The Fibonacci Extension uses the golden ratio (1.618) for harmonically-derived targets. Mitigation Method (Cross vs. Close): Determines how a breakout is confirmed. Cross is more responsive, triggering as soon as price touches the extension. Close is more conservative, requiring a full candle to close beyond the level, which helps filter out fake-outs from wicks. Min Range Size (ATR): A crucial noise filter. It ensures that ART ignores tiny, insignificant ranges by requiring a range's height to be a certain multiple of the current market volatility (ATR). 📊 Display & Visual Configuration These settings give you full control over the visual interface. You can toggle every single element—from the Webb Scanner to the S/R Levels—to create a clean or a comprehensive view. Choose a color theme that suits your charting environment or define a fully custom palette. 🕸️ Webb Analysis Scanner This is a unique real-time flow analysis tool. It draws dynamic, animated lines from the current price to recent historical points. This visualization helps reveal hidden "tendrils" of momentum and short-term support/resistance that are not immediately obvious, acting as a "sonar" for immediate price flow. 📊 THE ANALYTICS HUB: YOUR DASHBOARD DECODED The dashboard provides a real-time, at-a-glance intelligence briefing on the current state of market structure as seen by the ART engine. RANGE METRICS: This section is a "census" of the market's structure. It tells you the total number of ranges identified, how many are still Pending (awaiting a breakout), how many are Unmitigated (active but not yet broken), and how many have been Mitigated (classified and complete). TYPE BREAKDOWN: This is a powerful gauge of market character. A high count of Type 1 (Breakout) ranges suggests a strong, trending environment. A rising number of Type 2 (Reversal) ranges can signal market exhaustion and potential trend changes. A dominant Type 3 (Pivot) count indicates a balanced, rotational market. KEY GUIDE: The Large dashboard includes a full legend, so you never have to guess what a line or color represents. It's your built-in user manual. 🎨 DECODING THE BLUEPRINT: A VISUAL INTERPRETATION GUIDE Every line and color in ART is designed for instant, intuitive understanding. The Range Lines: Yellow Lines: A Pending range. This is an active zone of accumulation. Pay close attention. Colored Lines (Blue/Orange/Green): An unmitigated, classified range. The color tells you its breakout character. Dotted Lines: A Mitigated range. Its story has been told. These historical levels can still act as support or resistance. The Identification Zones: These colored boxes appear at a range's origin point after it has been classified. They are the "birth certificate" of the range, permanently marking its type (Breakout, Reversal, or Pivot) and providing an immediate visual history of market behavior. The Hierarchical Lines: Thick Gold Line (Source): The most important line on your chart. It is the anchor for your bias. Cyan Lines (S/R): High-probability decision points. Expect reactions here. Purple Dotted Lines (Extensions): Logical, calculated profit targets for breaking ranges. 🔧 THE ARCHITECT'S VISION: THE DEVELOPMENT JOURNEY ART was born from a deep frustration with the static and subjective nature of traditional market structure analysis. Drawing lines by hand is inconsistent, and most indicators are reactive, only confirming what has already happened. The goal was to create a proactive, objective, and dynamic framework that could think about the market in terms of phases and lifecycles. The breakthrough came from a simple shift in perspective: a range's true character isn't defined when it forms, but by how it resolves. This led to the development of the "post-breakout classification engine," which waits for the market to show its hand before assigning a definitive type. The Webb Scanner was inspired by the desire to visualize the unseen, to create a tool that could feel the immediate "pull" and "push" of price flow. The result is not just an indicator; it is a new language for interpreting price action, built on a foundation of logic, clarity, and precision. ⚠️ RISK DISCLAIMER & BEST PRACTICES Advanced Range Theory is a professional-grade analytical tool designed to enhance a trader's decision-making process. It does not provide direct buy or sell signals. The levels and classifications it generates are based on historical price action and mathematical probabilities. All trading involves substantial risk, and past performance is not indicative of future results. Always use this tool in conjunction with a robust risk management plan. "I fear not the man who has practiced 10,000 kicks once, but I fear the man who has practiced one kick 10,000 times." — Dskyz, Trade with insight. Trade with anticipation. — Bruce Lee
Indicador Pine Script®
por DskyzInvestments
15
Impulse Zones | Flux Charts💎 GENERAL OVERVIEW Introducing our new Impulse Zones indicator, a powerful tool designed to identify significant price movements accompanied by strong volume, highlighting potential areas of support and resistance. These Impulse Zones can offer valuable insights into market momentum and potential reversal or continuation points. For more information about the process, please check the "HOW DOES IT WORK ?" section. Impulse Zones Features : Dynamic Zone Creation : Automatically identifies and plots potential supply and demand zones based on significant price impulses and volume spikes. Customizable Settings : Allows you to adjust the sensitivity of zone detection based on your trading style and market conditions. Retests and Breakouts : Clearly marks instances where price retests or breaks through established Impulse Zones, providing potential entry or exit signals. Alerts : You can set alerts for Bullish & Bearish Impulse Zone detection and their retests. 🚩 UNIQUENESS Our Impulse Zones indicator stands out by combining both price action (impulsive moves) and volume confirmation to define significant zones. Unlike simple support and resistance indicators, it emphasizes the strength behind price movements, potentially filtering out less significant levels. The inclusion of retest and breakout visuals directly on the chart provides immediate context for potential trading opportunities. The user can also set up alerts for freshly detected Impulse Zones & the retests of them. 📌 HOW DOES IT WORK ? The indicator identifies bars where the price range (high - low) is significantly larger than the average true range (ATR), indicating a strong price movement. The Size Sensitivity input allows you to control how large this impulse needs to be relative to the ATR. Simultaneously, it checks if the volume on the impulse bar is significantly higher than the average volume. The Volume Sensitivity input governs this threshold. When both the price impulse and volume confirmation criteria are met, an Impulse Zone is created in the corresponding direction. The high and low of the impulse bar define the initial boundaries of the zone. Zones are extended forward in time to remain relevant. The indicator manages the number of active zones to maintain chart clarity and can remove zones that haven't been touched for a specified period. The indicator monitors price action within and around established zones. A retest is identified when the price touches a zone and then moves away. A break occurs when the price closes beyond the invalidation point of a zone. Keep in mind that if "Show Historic Zones" setting is disabled, you will not see break labels as their zones will be removed from the chart. The detection of Impulse Zones are immediate signs of significant buying or selling pressure entering the market. These zones represent areas where a strong imbalance between buyers and sellers has led to a rapid price movement accompanied by high volume. Bullish Impulse Zones act as a possible future support zone, and Bearish Impulse Zones act as a possible future resistance zone. Retests of the zones suggest a strong potential movement in the corresponding direction. ⚙️ SETTINGS 1. General Configuration Show Historic Zones: If enabled, invalidated or expired Impulse Zones will remain visible on the chart. 2. Impulse Zones Invalidation Method: Determines which part of the candle (Wick or Close) is used to invalidate a zone break. Size Sensitivity: Controls the required size of the impulse bar relative to the ATR for a zone to be detected. Higher values may identify fewer, larger zones. Lower values may detect more, smaller zones. Volume Sensitivity: Controls the required volume of the impulse bar relative to the average volume for a zone to be detected. Higher values require more significant volume. Labels: Toggles the display of "IZ" labels on the identified zones. Retests: Enables the visual highlighting of retests on the zones. Breaks: Enables the visual highlighting of zone breaks.
Indicador Pine Script®
por fluxchart
2
Dynamic Volume Profile PoC SwiftedgeOverview The Dynamic Volume Profile PoC is a powerful and visually intuitive indicator designed to help traders identify key support and resistance levels using a unique combination of pivot points, volume analysis, and dynamic Point of Control (PoC) levels. This script overlays directly on your chart, providing clear visual cues for potential breakout and rejection zones, making it easier to spot high-probability trading opportunities. What It Does This indicator combines three core components to deliver actionable insights: Pivot Points: Identifies significant swing highs and lows to establish potential support and resistance levels. Volume Oscillator: Measures volume momentum to confirm the strength of price movements, ensuring that breakouts or rejections are backed by significant volume. Dynamic Point of Control (PoC): Calculates the midpoint between consecutive pivot points to create dynamic PoC levels, which act as key areas where price is likely to either break through (breakout) or reverse (rejection). These components work together to highlight critical price levels where the market is likely to react, giving traders a clear framework for decision-making. How It Works Pivot Detection: The script uses pivot highs and lows (based on user-defined Left Bars and Right Bars) to identify significant price levels. These pivots form the foundation for calculating PoC levels. PoC Calculation: Each time a new pivot is detected, the script calculates the midpoint between the current pivot and the previous pivot, creating a dynamic PoC level. These levels are plotted as horizontal lines on the chart, with a maximum of Max PoC Lines to Show (default: 2) visible at any time. Volume Confirmation: A volume oscillator (short EMA of volume minus long EMA of volume) is used to filter breakouts and rejections. Breakouts or rejections are only signaled if the volume oscillator exceeds the Volume Threshold (default: 20), ensuring that price movements are supported by strong volume. Visual Cues: PoC levels are drawn as cyan lines with optional semi-transparent zones (controlled by Show PoC Zones). These zones are colored green for potential breakouts (price above PoC) and red for potential rejections (price below PoC). Labels above and below each PoC level indicate trading opportunities: "Long if breakout"/"Long if rejected" (green) and "Short if breakout"/"Short if rejected" (red), depending on the price's direction relative to the PoC. Break signals ("B") are plotted above or below bars when price crosses a pivot level with sufficient volume, colored red for downward breaks and green for upward breaks. How to Use Add the Indicator: Add the "Dynamic Volume Profile PoC " to your chart in TradingView. Adjust Settings: Left Bars and Right Bars (default: 15): Control the sensitivity of pivot detection. Lower values make the script more sensitive to smaller price swings. Volume Threshold (default: 20): Set the minimum volume oscillator value required to confirm breakouts or rejections. Increase this for stricter confirmation. Max PoC Lines to Show (default: 2): Define how many PoC levels are displayed at once. Show PoC Zones (default: true): Toggle semi-transparent zones around PoC levels for better visualization. Label Spacing Factor (default: 0.5): Adjust the vertical spacing between labels and the PoC box. Increase this value (e.g., to 1.0 or 2.0) for more spacing, or decrease it (e.g., to 0.3) for less. Interpret the Signals: Look for PoC levels (cyan lines) as key areas of interest. Use the labels to identify potential trades: "Long if breakout" indicates a buy opportunity if price breaks above the PoC, while "Short if rejected" suggests a sell if price fails to break through. Watch for "B" signals to confirm breakouts or rejections with volume support. Combine with Your Strategy: Use the PoC levels and break signals as part of your broader trading strategy, such as trend-following or mean-reversion setups. Why This Script is Unique The Dynamic Volume Profile PoC stands out by combining pivot points, volume analysis, and dynamic PoC levels into a single, cohesive tool. Unlike traditional volume profile indicators that require a fixed range, this script dynamically updates PoC levels based on recent price action, making it more responsive to current market conditions. The addition of volume confirmation ensures that signals are backed by market participation, reducing false breakouts. The visually appealing design, with customizable spacing and semi-transparent zones, makes it easy to interpret key levels at a glance, even for traders unfamiliar with Pine Script. Notes This script works best on timeframes where pivot points are meaningful (e.g., 1H, 4H, or daily charts). Adjust the Label Spacing Factor to ensure labels are well-spaced for your chart's zoom level and instrument. For instruments with high volatility, you may need to increase the Volume Threshold to filter out noise.
Indicador Pine Script®
por SwiftEdge
4
Volume Histogram with ThresholdsVolume Histogram with Thresholds Description: This indicator displays a histogram of volume bars with color coding based on customizable volume thresholds. It helps traders quickly identify potential breakouts and breakdowns by comparing current volume against a moving average of past volume. Features: Customizable Average Volume Period – Allows you to set a lookback period for calculating average volume. Color-Coded Bars for Quick Visual Reference: Gray: Below average volume (low activity) Blue: Near average volume (normal activity) Green: Above average volume (potential breakout/breakdown) Red: Significantly above average volume (high-confidence move) Plots an Orange Reference Line – Represents the average volume for easy comparison. Usage: Adjust "Average Volume Period" to set the moving average length for volume. Modify "Above Average" and "High Volume" multipliers to fine-tune breakout/breakdown sensitivity. Look for green and red bars to confirm strong moves in price action. This indicator can help confirm the validity of breakouts and breakdowns by visually emphasizing volume surges. 🚀 Explanation of Presets in the Indicator The indicator comes with three user-configurable settings that determine how volume is analyzed and displayed. Here’s what they do and why they matter: 1. Average Volume Period (Default: 50) This setting controls the number of past bars used to calculate the Simple Moving Average (SMA) of volume. A larger value (e.g., 100) smooths out fluctuations and gives a broader view of average volume trends. A smaller value (e.g., 20) makes the average more responsive to recent volume changes. 2. Above Average Threshold (Multiplier, Default: 1.5) This defines the first level of volume increase that is considered above average. If the current volume is 1.5 times greater than the moving average volume, the histogram bar turns green. You can lower this value (e.g., 1.2) to make the indicator more sensitive or increase it (e.g., 2.0) to filter out smaller spikes. 3. High Volume Threshold (Multiplier, Default: 2.5) This determines the threshold for what is considered significantly above average volume. If the current volume is 2.5 times greater than the moving average volume, the histogram bar turns red. This setting helps highlight extremely strong volume surges, which are more likely to indicate high-confidence breakouts or breakdowns. How to Adjust These Presets for Different Market Conditions If you trade high-volatility assets, you might want to increase the multipliers (e.g., 2.0 and 3.5) to focus only on the strongest moves. If you trade low-liquidity assets, you might need to lower the multipliers (e.g., 1.2 and 2.0) to capture smaller but meaningful volume shifts. Short-term traders (scalping/day trading) may prefer a lower average volume period (e.g., 20) to get faster signals. By tweaking these settings, you can adapt the indicator to your trading style and the asset you’re analyzing. 🚀
Indicador Pine Script®
por natedogg_365
Smart Volume S/R Pro [The_lurker]مؤشر "Smart Volume S/R Pro " هو أداة تحليل فني متقدمة مصممة لمساعدة المتداولين في تحديد مستويات الدعم والمقاومة القوية بناءً على حجم التداول، مع إضافة ميزات تحليلية متطورة مثل تصفية الاتجاه ، مناطق الثقة ، تقييم القوة ، حساب احتمالية الاختراق ، قياس السيولة ، تحديد الأهداف السعرية ، ومستويات فيبوناتشي . وايضا تقديم تسميات (Labels) بجانب كل مستوى دعم ومقاومة، تحتوي على أرقام ومعلومات دقيقة تعكس حالة السوق. هذه التسميات ليست مجرد زينة، بل أدوات تحليلية تساعد المتداولين على اتخاذ قرارات مستنيرة بناءً على بيانات السوقيهدف هذا المؤشر إلى توفير رؤية شاملة للسوق . الوظائف الرئيسية للمؤشر 1- تحديد مستويات الدعم والمقاومة بناءً على حجم التداول العالي يقوم المؤشر بتحليل الأشرطة (Bars) السابقة (حتى 300 شريط افتراضيًا) لتحديد النقاط التي شهدت أعلى مستويات حجم التداول. يرسم خطوط أفقية تمثل مستويات المقاومة (عند أعلى سعر في تلك الأشرطة) والدعم (عند أدنى سعر)، ويمكن للمستخدم اختيار عدد الخطوط المعروضة (من 1 إلى 6). 2- تصفية الاتجاه باستخدام مؤشر ADX يستخدم المؤشر مؤشر الاتجاه المتوسط (ADX) لتقييم قوة الاتجاه في السوق. عندما تكون قوة الاتجاه عالية (تتجاوز عتبة محددة، 25 افتراضيًا)، يقلل المؤشر عدد مستويات الدعم والمقاومة المعروضة للتركيز فقط على المستويات الأكثر أهمية. 3- مناطق الثقة الديناميكية يضيف المؤشر مناطق حول مستويات الدعم والمقاومة بناءً على متوسط المدى الحقيقي (ATR)، مما يساعد المتداولين على تصور النطاقات التي قد يتفاعل فيها السعر مع هذه المستويات. يمكن تعديل عرض هذه المناطق باستخدام مضاعف ATR. 4- تقييم قوة المستويات يحسب المؤشر قوة كل مستوى بناءً على حجم التداول، عدد المرات التي تم اختبار المستوى فيها (Touch Count)، وقرب السعر الحالي من المستوى. يتم عرض درجة القوة (من 0 إلى 100) بجانب كل مستوى إذا تم تفعيل هذه الخاصية. 5- احتمالية الاختراق يقدّر المؤشر احتمالية اختراق كل مستوى بناءً على الزخم (ROC)، قوة المستوى، والمسافة بين السعر الحالي والمستوى. يظهر الاحتمال كنسبة مئوية إذا تم تفعيل الخيار، مما يساعد المتداولين على توقع الحركات المحتملة. 6- تحليل السيولة التاريخية يقيس المؤشر السيولة حول كل مستوى بناءً على حجم التداول في النطاقات القريبة منه. يمكن عرض قيم السيولة في التسميات أو استخدامها لتعديل عرض الخطوط (الخطوط الأكثر سيولة تظهر أعرض). 7- الأهداف السعرية عند تفعيل هذه الخاصية، يحسب المؤشر أهداف سعرية للاختراق (Breakout) والارتداد (Reversal) بناءً على الزخم وقوة المستوى وATR. يمكن عرض هذه الأهداف كنصوص في التسميات أو كخطوط أفقية على الرسم البياني. 8- مستويات فيبوناتشي يرسم المؤشر مستويات فيبوناتشي (0.0، 0.236، 0.382، 0.5، 0.618، 0.786، 1.0) بناءً على أعلى وأدنى سعر في فترة النظرة الخلفية. يمكن للمستخدم اختيار أي من هذه المستويات لعرضها أو إخفائها. 9- تنبيه شامل للاختراق يوفر المؤشر تنبيهًا واحدًا يشمل جميع المستويات، حيث يُطلق التنبيه عندما يخترق السعر أي مستوى دعم أو مقاومة مع رسالة توضح نوع الاختراق والمستوى المخترق. كيفية عمل المؤشر الخطوة الأولى: يحدد المؤشر الأشرطة ذات الحجم العالي خلال فترة النظرة الخلفية المحددة (Lookback Period). الخطوة الثانية: يرسم مستويات الدعم والمقاومة بناءً على أعلى وأدنى الأسعار في تلك الأشرطة، مع مراعاة عدد الخطوط المختارة من المستخدم. الخطوة الثالثة: يطبق مرشح الاتجاه (إذا كان مفعلاً) لتقليل عدد المستويات في حالة الاتجاه القوي. الخطوة الرابعة: يضيف التحليلات الإضافية مثل القوة، السيولة، احتمالية الاختراق، والأهداف السعرية، ويرسم مناطق الثقة ومستويات فيبوناتشي حسب الإعدادات. الخطوة الخامسة: يراقب السعر ويطلق تنبيهًا عند الاختراق. الإعدادات القابلة للتخصيص 1- فترة النظرة الخلفية (Lookback Period): عدد الأشرطة التي يتم تحليلها (افتراضيًا 300). 2- عدد الخطوط (Number of Lines): من 1 إلى 6 مستويات دعم ومقاومة. 3- الألوان والأنماط: يمكن تغيير ألوان الخطوط وأنماطها (ممتلئة، متقطعة، منقطة). 4- التسميات: تفعيل/تعطيل التسميات، وحجمها، وموقعها، ولون النص. 5- مرشح الاتجاه: تفعيل/تعطيل ADX، وتعديل طوله وعتبته. 6- مناطق الثقة: تفعيل/تعطيل، وتعديل طول ATR ومضاعفه. 7- القوة واحتمالية الاختراق: تفعيل/تعطيل العرض، وتعديل طول ROC. 8- السيولة: تفعيل/تعطيل تأثير السيولة على عرض الخطوط وقيمها في التسميات. 9- الأهداف السعرية: تفعيل/تعطيل الأهداف وعرضها كخطوط. 10- فيبوناتشي: اختيار المستويات المعروضة ولون الخطوط. فوائد المؤشر دقة عالية: يعتمد على حجم التداول لتحديد المستويات، مما يجعله أكثر موثوقية من المستويات العشوائية. مرونة: يوفر خيارات تخصيص واسعة تتيح للمتداولين تكييفه حسب استراتيجياتهم. تحليل شامل: يجمع بين الدعم والمقاومة، الاتجاه، السيولة، والأهداف في أداة واحدة. سهولة الاستخدام: التسميات والتنبيهات تجعل من السهل متابعة السوق دون تعقيد. ==================================================================================تسميات (Labels) بجانب كل مستوى دعم ومقاومة، تحتوي على أرقام ومعلومات دقيقة تعكس حالة السوق. هذه التسميات ليست مجرد زينة، بل أدوات تحليلية تساعد المتداولين على اتخاذ قرارات مستنيرة بناءً على بيانات السوق. في هذا الشرح، سنستعرض كل رقم أو قيمة تظهر في التسميات ومعناها العملي. مكونات التسميات التسميات تظهر بجانب كل مستوى دعم (Support) ومقاومة (Resistance) وتبدأ بحرف "S" للدعم أو "R" للمقاومة، تليها مجموعة من الأرقام والقيم التي يمكن تفعيلها أو تعطيلها حسب إعدادات المستخدم. إليك تفصيل كل عنصر: 1- عدد اللمسات (Touch Count) الرمز: يظهر مباشرة بعد "S" أو "R" (مثال: "R: 5" أو "S: 3"). المعنى: يشير إلى عدد المرات التي اختبر فيها السعر هذا المستوى دون اختراقه. الفائدة: كلما زاد عدد اللمسات، كلما كان المستوى أقوى وأكثر أهمية. على سبيل المثال، إذا كان "R: 5"، فهذا يعني أن السعر ارتد من هذا المستوى 5 مرات، مما يجعله مقاومة قوية محتملة. 2- قوة المستوى (Strength Rating) الرمز: يظهر بين قوسين مربعين (مثال: " "). المعنى: قيمة من 0 إلى 100 تعكس قوة المستوى بناءً على عوامل مثل حجم التداول، عدد اللمسات، وقرب السعر الحالي من المستوى. الفائدة: القيم العالية (مثل 75 أو أكثر) تشير إلى مستوى قوي يصعب اختراقه، بينما القيم المنخفضة (مثل 30 أو أقل) تدل على ضعف المستوى وسهولة اختراقه. يمكن للمتداول استخدام هذا لتحديد المستويات الأكثر موثوقية. 3- احتمالية الاختراق (Breakout Probability) الرمز: يبدأ بحرف "B" متبوعًا بنسبة مئوية (مثال: "B: 60%"). المعنى: نسبة من 0% إلى 100% تُظهر احتمالية اختراق السعر للمستوى بناءً على الزخم الحالي، قوة المستوى، والمسافة بين السعر والمستوى. الفائدة: نسبة مرتفعة (مثل 60% أو أكثر) تعني أن السعر قد يخترق المستوى قريبًا، بينما النسب المنخفضة (مثل 20%) تشير إلى احتمال ارتداد السعر. هذا مفيد لتوقع الحركة التالية. 4- قيمة السيولة (Liquidity Value) الرمز: يبدأ بحرف "L" متبوعًا برقم (مثال: "L: 1200"). المعنى: يمثل متوسط حجم التداول في النطاق القريب من المستوى، مما يعكس السيولة التاريخية حوله. الفائدة: القيم العالية تدل على وجود سيولة كبيرة، مما يعني أن السعر قد يتفاعل بقوة مع هذا المستوى (إما بالارتداد أو الاختراق). القيم المنخفضة تشير إلى سيولة ضعيفة، مما قد يجعل المستوى أقل تأثيرًا. 5- الأهداف السعرية (Price Targets) الرمز: يبدأ بـ "BT" (هدف الاختراق) و"RT" (هدف الارتداد) متبوعين بأرقام (مثال: "BT: 150.50 RT: 148.20"). المعنى: BT (Breakout Target): السعر المحتمل الذي قد يصل إليه السعر بعد اختراق المستوى. RT (Reversal Target): السعر المحتمل الذي قد يصل إليه السعر إذا ارتد من المستوى. الفائدة: تساعد المتداولين في تحديد نقاط الخروج المحتملة بعد الاختراق أو الارتداد، مما يسهل وضع خطة تداول دقيقة. أمثلة عملية تسمية مقاومة: "R: 4 B: 25% L: 1500 BT: 155.00 RT: 152.00" المستوى اختُبر 4 مرات، قوته 80 (قوي جدًا)، احتمالية الاختراق 25% (منخفضة، أي احتمال ارتداد أعلى)، السيولة 1500 (مرتفعة)، هدف الاختراق 155.00، هدف الارتداد 152.00. الاستنتاج: المستوى قوي ومن المرجح أن يرتد السعر منه، لكن إذا اخترق، فقد يصل إلى 155.00. تسمية دعم: "S: 2 B: 70% L: 800 BT: 145.00 RT: 147.50" المستوى اختُبر مرتين، قوته 40 (متوسطة إلى ضعيفة)، احتمالية الاختراق 70% (مرتفعة)، السيولة 800 (متوسطة)، هدف الاختراق 145.00، هدف الارتداد 147.50. الاستنتاج: المستوى ضعيف ومن المحتمل أن يخترقه السعر ليهبط إلى 145.00. كيفية الاستفادة من التسميات تحديد القوة والضعف: استخدم قوة المستوى (Strength) لمعرفة ما إذا كان المستوى موثوقًا للارتداد أو عرضة للاختراق. توقع الحركة: انظر إلى احتمالية الاختراق (Breakout Probability) لتحديد ما إذا كنت ستنتظر اختراقًا أو ترتدًا. إدارة المخاطر: استخدم الأهداف السعرية (BT وRT) لتحديد نقاط جني الأرباح أو وقف الخسارة. تقييم السيولة: ركز على المستويات ذات السيولة العالية لأنها غالبًا تكون نقاط تحول رئيسية في السوق. تأكيد التحليل: ادمج عدد اللمسات مع القوة والسيولة للحصول على صورة كاملة عن أهمية المستوى. تخصيص التسميات يمكن للمستخدم تفعيل أو تعطيل أي من هذه القيم (القوة، الاحتمالية، السيولة، الأهداف) من إعدادات المؤشر. يمكن أيضًا تغيير حجم التسميات (صغير، عادي، كبير)، موقعها (يمين، يسار، أعلى، أسفل)، ولون النص لتناسب احتياجاتك. التسميات في هذا المؤشر هي بمثابة لوحة تحكم صغيرة بجانب كل مستوى دعم ومقاومة، تقدم لك معلومات فورية عن قوته، احتمالية اختراقه، سيولته، وأهدافه السعرية. بفهم هذه الأرقام، يمكنك تحسين قراراتك في التداول، سواء كنت تبحث عن نقاط دخول، خروج، أو إدارة مخاطر. إذا كنت تريد أداة تجمع بين البساطة والعمق التحليلي . تنويه: المؤشر هو أداة مساعدة فقط ويجب استخدامه مع التحليل الفني والأساسي لتحقيق أفضل النتائج. إخلاء المسؤولية لا يُقصد بالمعلومات والمنشورات أن تكون، أو تشكل، أي نصيحة مالية أو استثمارية أو تجارية أو أنواع أخرى من النصائح أو التوصيات المقدمة أو المعتمدة من TradingView. The Smart Volume S/R Pro indicator is an advanced technical analysis tool designed to help traders identify strong support and resistance levels based on trading volume, with the addition of advanced analytical features such as trend filtering, confidence zones, strength assessment, breakout probability calculation, liquidity measurement, price target identification, and Fibonacci levels. It also provides labels next to each support and resistance level, containing accurate numbers and information that reflect the market condition. These labels are not just decorations, but analytical tools that help traders make informed decisions based on market data. This indicator aims to provide a comprehensive view of the market. Main functions of the indicator 1- Identifying support and resistance levels based on high trading volume The indicator analyzes previous bars (up to 300 bars by default) to identify the points that witnessed the highest levels of trading volume. It draws horizontal lines representing resistance levels (at the highest price in those bars) and support (at the lowest price), and the user can choose the number of lines displayed (from 1 to 6). 2- Filtering the trend using the ADX indicator The indicator uses the Average Directional Index (ADX) to assess the strength of a trend in the market. When the strength of the trend is high (exceeding a specified threshold, 25 by default), the indicator reduces the number of support and resistance levels displayed to focus only on the most important levels. 3- Dynamic Confidence Zones The indicator adds zones around support and resistance levels based on the Average True Range (ATR), helping traders visualize the ranges in which the price may interact with these levels. The width of these zones can be adjusted using the ATR multiplier. 4- Assessing the Strength of Levels The indicator calculates the strength of each level based on trading volume, the number of times the level has been tested (Touch Count), and the proximity of the current price to the level. A strength score (from 0 to 100) is displayed next to each level if this feature is enabled. 5- Breakout Probability The indicator estimates the probability of breaking each level based on momentum (ROC), the strength of the level, and the distance between the current price and the level. The probability is displayed as a percentage if the option is enabled, helping traders anticipate potential moves. 6- Historical Liquidity Analysis The indicator measures liquidity around each level based on the trading volume in the ranges near it. The liquidity values ​​can be displayed in the labels or used to adjust the width of the lines (the most liquid lines appear wider). 7- Price Targets When this feature is enabled, the indicator calculates price targets for breakout and reversal based on momentum, level strength and ATR. These targets can be displayed as text in the labels or as horizontal lines on the chart. 8- Fibonacci Levels The indicator plots Fibonacci levels (0.0, 0.236, 0.382, 0.5, 0.618, 0.786, 1.0) based on the highest and lowest price in the lookback period. The user can choose which of these levels to display or hide. 9- Comprehensive Breakout Alert The indicator provides a single alert that includes all levels, where the alert is triggered when the price breaks any support or resistance level with a message explaining the type of breakout and the level broken. How the indicator works Step 1: The indicator identifies the bars with high volume during the specified Lookback Period. Step 2: Draws support and resistance levels based on the highest and lowest prices in those bars, taking into account the number of lines selected by the user. Step 3: Apply the trend filter (if enabled) to reduce the number of levels in case of a strong trend. Step 4: Adds additional analyses such as strength, liquidity, breakout probability, and price targets, and draws confidence zones and Fibonacci levels according to the settings. Step 5: Monitors the price and triggers an alert when the breakout occurs. Customizable Settings 1- Lookback Period: Number of bars to analyze (default 300). 2- Number of Lines: From 1 to 6 support and resistance levels. 3- Colors and Styles: Line colors and styles can be changed (filled, dashed, dotted). 4- Labels: Enable/disable labels, their size, location, and text color. 5- Trend Filter: Enable/disable ADX, and modify its length and threshold. 6- Confidence Zones: Enable/disable, and modify the ATR length and multiplier. 7- Strength and Breakout Probability: Enable/disable the display, and modify the ROC length. 8- Liquidity: Enable/disable the effect of liquidity on the display of the lines and their values ​​in the labels. 9- Price Targets: Enable/disable the targets and display them as lines. 10- Fibonacci: Choose the displayed levels and the color of the lines. Indicator Benefits High Accuracy: It relies on trading volume to determine the levels, which makes it more reliable than random levels. Flexibility: It provides extensive customization options that allow traders to adapt it to their strategies. Comprehensive Analysis: Combines support and resistance, trend, liquidity, and targets in one tool. Ease of Use: Labels and alerts make it easy to follow the market without complexity. Labels next to each support and resistance level contain accurate numbers and information that reflect the market situation. These labels are not just decorations, but analytical tools that help traders make informed decisions based on market data. In this explanation, we will review each number or value that appears in the labels and their practical meaning. Label Components Labels appear next to each support and resistance level and begin with the letter "S" for support or "R" for resistance, followed by a set of numbers and values ​​that can be enabled or disabled according to the user's settings. Here is a breakdown of each element: 1- Touch Count Symbol: Appears immediately after "S" or "R" (example: "R: 5" or "S: 3"). Meaning: Indicates the number of times the price has tested this level without breaking it. Benefit: The more touches, the stronger and more important the level. For example, if it is "R: 5", it means that the price has bounced off this level 5 times, making it a potentially strong resistance. 2- Strength Rating Symbol: Appears between square brackets (example: " "). Meaning: A value from 0 to 100 that reflects the strength of the level based on factors such as trading volume, number of touches, and proximity of the current price to the level. Benefit: High values ​​(such as 75 or more) indicate a strong level that is difficult to break, while low values ​​(such as 30 or less) indicate a weak level that is easy to break. A trader can use this to determine the most reliable levels. 3- Breakout Probability Symbol: Starts with the letter "B" followed by a percentage (example: "B: 60%"). Meaning: A percentage from 0% to 100% that shows the probability of the price breaking the level based on the current momentum, the strength of the level, and the distance between the price and the level. Interest: A high percentage (such as 60% or more) means that the price may soon break through the level, while low percentages (such as 20%) indicate that the price may bounce. This is useful for anticipating the next move. 4- Liquidity Value Symbol: Starts with the letter "L" followed by a number (example: "L: 1200"). Meaning: Represents the average trading volume in the range near the level, reflecting historical liquidity around it. Interest: High values ​​indicate high liquidity, meaning that the price may react strongly to this level (either by bouncing or breaking through). Low values ​​indicate low liquidity, which may make the level less influential. 5- Price Targets Symbol: Starts with "BT" (breakout target) and "RT" (rebound target) followed by numbers (example: "BT: 150.50 RT: 148.20"). Meaning: BT (Breakout Target): The potential price that the price may reach after breaking the level. RT (Reversal Target): The potential price that the price may reach if it rebounds from the level. Utility: Helps traders identify potential exit points after a breakout or rebound, making it easier to develop an accurate trading plan. Working examples Resistance label: "R: 4 B: 25% L: 1500 BT: 155.00 RT: 152.00" Level tested 4 times, strength 80 (very strong), probability of breakout 25% (low, i.e. higher probability of rebound), liquidity 1500 (high), breakout target 155.00, rebound target 152.00. Conclusion: The level is strong and the price is likely to rebound from it, but if it breaks, it may reach 155.00. Support Label: "S: 2 B: 70% L: 800 BT: 145.00 RT: 147.50" Level tested twice, Strength 40 (medium to weak), Breakout Probability 70% (high), Liquidity 800 (medium), Breakout Target 145.00, Rebound Target 147.50. Conclusion: The level is weak and the price is likely to break it to drop to 145.00. How to use labels Determine strength and weakness: Use the level's strength to see if the level is reliable for a bounce or vulnerable to a breakout. Predict the move: Look at the Breakout Probability to determine whether to wait for a breakout or a bounce. Risk Management: Use price targets (BT and RT) to set take profit or stop loss points. Liquidity Evaluation: Focus on levels with high liquidity as they are often key turning points in the market. Analysis Confirmation: Combine the number of touches with strength and liquidity to get a complete picture of the level’s importance. Customize Labels The user can enable or disable any of these values ​​(strength, probability, liquidity, targets) from the indicator settings. The size of the labels (small, normal, large), their position (right, left, top, bottom), and the color of the text can also be changed to suit your needs. The labels in this indicator act as a small dashboard next to each support and resistance level, providing you with instant information about its strength, probability of breakout, liquidity, and price targets. By understanding these numbers, you can improve your trading decisions, whether you are looking for entry points, exit points, or risk management. If you want a tool that combines simplicity with analytical depth. Disclaimer: The indicator is an auxiliary tool only and should be used in conjunction with technical and fundamental analysis for best results. Disclaimer The information and posts are not intended to be, or constitute, any financial, investment, trading or other types of advice or recommendations provided or endorsed by TradingView.
Indicador Pine Script®
por The_lurker
6
Pivot Candles with MFI Opacity (No Plot)How to Use the Pivot Candles with MFI Opacity Indicator for Trade Entries and Position Management Overview This indicator is designed not only to display key pivot levels (support and resistance) and Money Flow Index (MFI) signals on your chart, but also to help you structure systematic order entries and position management. By combining pivot levels with dynamic MFI-based candle opacity, the indicator provides a visual framework that technical analysts and quants can use to time buy and sell stop orders as well as to pyramid positions or take profits. Trade Entry with Pivot Levels Buy Stop Orders Above R1: Concept: In many technical setups, resistance levels such as R1 are viewed as potential breakout points. A buy stop order placed just above R1 allows you to enter a long position only when price decisively breaks the prior resistance, confirming bullish momentum. How It Works: The indicator calculates pivot levels based on the previous higher‑timeframe bar, so R1 is “locked in” for the current period. When the current candle closes above R1, it may signal a breakout. Technical analysts often place a buy stop order slightly above R1 (for example, a few ticks or pips above the level) to confirm the move. Practical Application: Quants and systematic traders can program their models to monitor when the current close exceeds R1. Once this condition is met, a buy stop order is triggered to capture the breakout move, ensuring that you only participate if the price decisively moves upward. Sell Stop Orders Below S1: Concept: Conversely, S1 acts as a support level. A sell stop order placed just below S1 is designed to capture a breakdown. This order is activated when price closes below S1, indicating that selling pressure may be overwhelming. How It Works: With pivot levels fixed from the previous higher‑timeframe bar, S1 provides a reference for potential support. A close below S1 can be interpreted as a sign of a bearish reversal or a continuation of a downtrend. Practical Application: Quants set up their systems to watch for a break below S1. A sell stop order is positioned just below S1 to ensure that if the support level fails, the system can quickly initiate a short position to capture the downward move. Using MFI for Position Management Pyramiding and Profit Taking: Dynamic Candle Opacity: The Money Flow Index (MFI) in this indicator not only provides overbought/oversold alerts but also controls the opacity of your candlesticks. When MFI readings are high, the candles become more opaque, indicating strong buying pressure. Conversely, lower MFI values lead to more transparent candles, suggesting reduced momentum. Pyramiding Long Positions: Strategy: In a strong trend, technical analysts might choose to add to a winning position gradually—a process known as pyramiding. Implementation: As long as the price remains above R1 and MFI readings are supportive (high and consistent), you may consider adding to your long position incrementally. Each new buy stop order can be set above R1 with slightly adjusted trigger levels to capture further breakout strength. Risk Management: Quants use the MFI reading as a risk filter; if MFI begins to drop or the candles become significantly more transparent, it may be a cue to stop pyramiding or even begin taking profits. Taking Profit Using MFI and Pivot Reversals: Profit Targeting: When price reaches higher resistance levels (e.g., R2 or R3) or shows signs of overextension in conjunction with extreme MFI levels (for instance, a sudden drop in MFI after a strong rally), you can begin taking partial profits. Systematic Exit: A systematic strategy might include scaling out of the position as the price approaches the next resistance level or when the MFI indicates that buying momentum is waning. Similarly, for short positions entered below S1, profit targets might be set near subsequent support levels, with exits triggered if MFI suggests a reversal. Summary Entry Orders: Place buy stop orders just above R1 to capture breakouts. Place sell stop orders just below S1 to capture breakdowns. Position Management with MFI: Use MFI-based candle opacity as a visual indicator of momentum. Pyramid positions in the direction of the trend when MFI confirms strength. Consider partial exits if MFI readings start to reverse or if the price nears the next pivot level. By following this systematic approach, technical analysts and quants can use the indicator not only as a visual tool but as an integral part of an automated or semi-automated trading system that emphasizes disciplined entries, pyramiding, and profit-taking.
Indicador Pine Script®
por livingdracula
1
Composite Indicator (Donchian + OBV)Composite Indicator (Donchian + OBV) The Composite Indicator (Donchian + OBV) is a powerful tool designed to evaluate the strength of market breakouts and momentum trends , offering traders a comprehensive perspective on price action. This indicator combines the Donchian Channel with On-Balance Volume (OBV) to create a dynamic and easy-to-interpret metric scaled between -1 and 1 . Key Features Breakout Strength Analysis: - The indicator assesses the strength of price breakouts relative to the upper and lower bounds of the Donchian Channel. - Positive values close to 1 indicate a strong bullish breakout. - Negative values close to -1 indicate a strong bearish breakout. Momentum Detection with OBV: - On-Balance Volume (OBV) tracks the cumulative buying and selling volume to gauge market momentum. - The smoothed OBV trend ensures the momentum component aligns with price action, reducing noise. Integrated Composite Value: - Combines breakout strength and OBV momentum into a single metric for enhanced clarity. - The final composite value highlights whether the market is bullish, bearish, or neutral. Divergence Detection: - Spot bullish divergences when the indicator rises while price falls, suggesting a potential upward reversal. - Identify bearish divergences when the indicator falls while price rises, hinting at a potential downward reversal. How It Works Donchian Channel Analysis: - Calculates the highest high and lowest low over a user-defined period to establish the upper and lower channels . - Breakouts beyond these channels contribute to the breakout strength component. OBV Momentum: - Measures cumulative volume trends to validate price movements. - Momentum is derived from the rate of change in smoothed OBV values. Composite Calculation: - Combines breakout strength and OBV momentum, normalized and scaled to -1 to 1 for clarity. How to Use Bullish Breakout: - When the indicator value approaches 1 , it signals a strong upward breakout supported by positive OBV momentum. - Example Action: Consider a Buy if price breaks the upper Donchian Channel with increasing OBV. Bearish Breakout: - When the indicator value approaches -1 , it indicates a strong downward breakout supported by negative OBV momentum. - Example Action: Consider a Sell if price breaks the lower Donchian Channel with decreasing OBV. Neutral Market: - When the value is near 0 , the market is likely balanced with no significant breakout or momentum detected. Divergence Opportunities: - Bullish Divergence: Price makes lower lows, but the indicator trends upward → Potential upward reversal. - Bearish Divergence: Price makes higher highs, but the indicator trends downward → Potential downward reversal. Customization Options Donchian Channel Length: Adjust the period for the upper and lower bounds. OBV Smoothing Length: Modify the smoothing period for OBV to fine-tune momentum detection. Scaling Adjustments: The composite value is automatically normalized for consistency across timeframes. Ideal Use Cases Breakout Trading: Identify and confirm strong breakouts in volatile markets. Momentum Confirmation: Validate price movements with volume-based momentum. Reversal Detection: Leverage divergences to spot potential market reversals. Example Applications Strong Bullish Signal: - Price breaks the upper channel , and OBV shows increasing volume → Composite value near 1 . - Action: Enter a Buy position and set a Stop Loss below the upper channel. Strong Bearish Signal: - Price breaks the lower channel , and OBV shows decreasing volume → Composite value near -1 . - Action: Enter a Sell position and set a Stop Loss above the lower channel. Neutral Market: - Composite value near 0 suggests indecision or consolidation. Wait for a breakout. Limitations Best used alongside additional tools like RSI or MACD for filtering noise and improving decision-making. Requires careful parameter tuning based on the asset and timeframe. Final Thoughts The Composite Indicator (Donchian + OBV) offers traders a versatile tool to navigate complex markets. By blending breakout analysis with volume-based momentum, this indicator provides an actionable edge for identifying high-probability opportunities and potential reversals.
Indicador Pine Script®
por CharLi0t