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HTRHere is the step-by-step process: Copy the Code: Scroll up to the last block of code I provided (the "Final: Sessions + Days + Loopbacks (Replay Fixed)" version) and click the "Copy" button in the top right corner of the code block. Open Pine Editor: Go to your TradingView chart. Look at the very bottom of the screen. You will see a tab labeled "Pine Editor". Click it to open the panel. Paste the Code: If there is already code in there (like a default script), delete everything so the editor is completely blank. Paste the code you just copied (Ctrl+V or Cmd+V). Save the Script: Click the "Save" button (or "Untitled Script") in the top right of the Pine Editor panel. Give it a name, for example: My Custom Session & Days. Click Save. Add to Chart: Click the "Add to Chart" button (next to the Save button
Indicador Pine Script®
por SunnyGR
HTRHere is the step-by-step process: Copy the Code: Scroll up to the last block of code I provided (the "Final: Sessions + Days + Loopbacks (Replay Fixed)" version) and click the "Copy" button in the top right corner of the code block. Open Pine Editor: Go to your TradingView chart. Look at the very bottom of the screen. You will see a tab labeled "Pine Editor". Click it to open the panel. Paste the Code: If there is already code in there (like a default script), delete everything so the editor is completely blank. Paste the code you just copied (Ctrl+V or Cmd+V). Save the Script: Click the "Save" button (or "Untitled Script") in the top right of the Pine Editor panel. Give it a name, for example: My Custom Session & Days. Click Save. Add to Chart: Click the "Add to Chart" button (next to the Save button
Indicador Pine Script®
por SunnyGR
Adaptive Elliott Wave: Forecast + Dashboard (V.2)Title: Adaptive Elliott Wave: Forecast + Dashboard Description: Overview The Adaptive Elliott Wave: Forecast + Dashboard is a technical analysis tool designed to visualize potential Elliott Wave structures using a dynamic, multi-factor approach. Unlike static wave scripts, this indicator adapts its projections based on real-time trend context (Weighted Moving Averages) and momentum shifts (RSI). It is built to help traders identify the most likely path—Impulse or Correction—based on current market conditions. How It Works The script uses a combination of pivot-point detection and trend filtering to project future wave paths. Pivot Logic: The indicator identifies significant Highs and Lows using a sensitivity setting. These pivots form the "anchors" for the Elliott Wave count. Adaptive Engine: The "Auto-Detect" mode analyzes the relationship between the 50/200 WMA (Trend) and RSI (Momentum). In a Bull Trend: If RSI is oversold, the script anticipates a bullish "Impulse" wave. If RSI is overbought, it prepares for a "Correction." In a Bear Trend: The logic reverses to project rallies or downward impulses. Projections: It calculates Fibonacci-based targets for waves 1-5 (Impulse) or A-B-C/W-X-Y (Correction) and renders them as "ghost lines" that move with the price. Macro Outlook: For long-term context, the script includes a Macro Projection feature that uses higher-period pivots to show the possible 1-year direction. Key Features Target Table: A real-time dashboard showing exact Fibonacci target prices and the percentage distance from the current price. Corrective Channels: Automatically draws channels for wave corrections to help identify potential breakout or breakdown zones. Bullish/Bearish Extensions: Shows immediate volatility-based extensions beyond the last confirmed pivot. RSI Signals: Visual markers on the chart indicate overbought/oversold conditions that feed into the adaptive logic. How to Use Identify the Phase: Use the "AI STATUS" in the dashboard to see if the script is currently projecting an Impulse (Trend move) or a Correction (Counter-trend). Confirm with WMA: Use the 50 (Blue) and 200 (Orange) WMAs to confirm the macro trend before following a projection. Monitor Fib Targets: Watch for price reactions at the projected labels. If price breaks a target significantly, the wave count may need to be re-evaluated (re-pivot). Customize Sensitivity: For scalping, lower the "Short-Term Sensitivity." For swing trading, increase it. Disclaimer This script is for educational purposes only. Elliott Wave Theory is subjective, and projections are mathematical estimates based on historical volatility. Past performance does not guarantee future results. Always use proper risk management. Settings Guide Forecast Mode: Choose between "Auto-Detect" (Dynamic) or manually force an Impulse/Correction count. Macro Sensitivity: Controls how far back the script looks to generate the purple 1-year projection. Link Correction to Extension: A unique feature that starts the forecast from a potential extension target rather than the current live price.
Indicador Pine Script®
por TheTankTrades
SAl VWAP LITE SA Final VWAP — LITE (Beginner Guide) This strategy is designed to only take trades when 3 layers agree: Market posture (HTF = 1H VWAP direction) Mid confirmation (MID = 15m VWAP direction) Execution entry (your chart timeframe signal: SMA trend + VWAP + wick flip + RSI) It’s built to avoid chop by requiring trend + location + momentum + a reversal wick trigger. 1) What the script does (in plain English) A Long (green) signal happens only when ALL are true: ✅ HTF VWAP is bullish (price above VWAP on 1H) ✅ MID VWAP is bullish (price above VWAP on 15m) ✅ Execution trend is bullish (SMA3 > SMA8 AND close > SMA8) ✅ Price is above VWAP on your current chart ✅ The prior candle had an upper wick (bearish rejection wick) ✅ RSI is strong (RSI > 55 by default) A Short (red) signal happens only when ALL are true: ✅ HTF VWAP is bearish (price below VWAP on 1H) ✅ MID VWAP is bearish (price below VWAP on 15m) ✅ Execution trend is bearish (SMA3 < SMA8 AND close < SMA8) ✅ Price is below VWAP on your current chart ✅ The prior candle had a lower wick (bullish rejection wick) ✅ RSI is weak (RSI < 45 by default) If those aren’t met, candles stay gray = no trade / neutral. 2) How to add it on TradingView (step-by-step) Open TradingView Click Pine Editor (bottom panel) Paste the full script Click Save Click Add to chart Go to Strategy Tester (bottom) to view results If you want alerts: You can still create alerts for strategy orders, but it works best if we convert it to an indicator version with alert conditions. (If you want, tell me and I’ll generate that version.) 3) Best instruments to use it on This type of VWAP+trend+RSI filter works best on instruments with: High liquidity Clean trend behavior Tight spreads / stable fills Best: Index futures: NQ / ES Index ETFs: QQQ / SPY Very liquid mega caps: AAPL / MSFT / NVDA Avoid thin stocks or random low-volume names. 4) Best timeframes to run it on (beginner safe) ✅ Recommended execution timeframes (where entries trigger) 1 minute (fast, best if you’re experienced) 3 minute (balanced) 5 minute (most beginner friendly) ✅ Gate timeframes (already built in) HTF = 60 min MID = 15 min These should usually stay as-is. 5) How to interpret the candle colors Green candle = A valid LONG signal fired on that bar Red candle = A valid SHORT signal fired on that bar Gray candle = No signal (do nothing) This is important: Gray is a feature, not a problem. Gray means the system is protecting you from chop. 6) What “Strict Mode (HTF=MID)” really means When Strict Mode = ON: HTF and MID must agree exactly This reduces signals but improves quality When Strict Mode = OFF: HTF alone can allow direction More trades, more noise Beginner rule: keep Strict Mode ON. 7) How to trade it (simple beginner rules) Long trade rules Wait for a green candle (signal candle) Enter at the close of the candle (or next candle open) Use your stop (your script currently uses TP+SL inside strategy) Short trade rules Wait for a red candle Enter at the close (or next candle open) Respect stop loss Most important discipline rule Do not take trades “because it’s close.” Take only when the candle is green/red. 8) Why the wick rule is powerful This is a key “needle shifter.” Long requires prior bearish wick (upper wick): That shows sellers tried to push up resistance / reject price — and failed. If the market is still above VWAP + trend is up, that wick often marks a “dip-then-go” continuation. Short requires prior bullish wick (lower wick): Buyers tried to defend and push up — but got rejected. Under VWAP + downtrend + weak RSI, that wick often becomes the last pullback before continuation down. So the wick rule helps avoid entering mid-candle or late chase entries. 9) How to avoid the 100-point reversal problem you mentioned Those big reversals usually come from one of these: (A) Taking signals inside chop Fix: keep Strict Mode ON, and keep RSI thresholds. (B) Trading directly into a major support/resistance zone Fix: Avoid entries right at prior day high/low, overnight high/low, or major swing points Don’t short directly into support; don’t long into resistance (C) News spikes Fix: Avoid trading major news windows (CPI, FOMC, Powell, NFP) VWAP systems can get steamrolled temporarily during high-impact releases 10) Beginner settings I recommend (starting defaults) Keep these: Strict Mode = ✅ ON RSI Length = 14 RSI Bull > 55 RSI Bear < 45 SMA = 3 & 8 (as you have now) HTF = 60m, MID = 15m If you want fewer trades but higher quality: RSI Bull > 58 RSI Bear < 42 wickMinTicks = 2 (filters tiny meaningless wicks) 11) What you should NOT do (common beginner mistakes) ❌ Don’t take trades when candles are gray ❌ Don’t reverse immediately because the opposite color appears one candle later ❌ Don’t use this as a prediction tool — it’s a confirmation tool ❌ Don’t force trades in low volume periods (midday chop) 12) Best “times of day” to trade it (for index products) For NQ/ES/QQQ/SPY, the cleanest VWAP trend behavior is usually: 9:35–11:00 ET (best) 1:30–3:30 ET (good) Avoid 11:30–1:15 ET (chop zone) Why You Should Monitor the Strategy Report (Very Important) This script is intentionally published as a strategy, not just an indicator. That is by design. The Strategy Tester Report is a core part of how this tool should be evaluated. When you open the Strategy Tester tab in TradingView, you gain insight into: Win rate consistency across timeframes Drawdown behavior during choppy vs trending conditions How often signals occur (selectivity matters) Performance differences between 1m, 3m, and 5m charts The value of the HTF + MID gating logic during high-risk periods ⚠️ Do not judge this tool based on a handful of trades or one session. Its real value shows up when you observe: Fewer trades during chop Cleaner participation during directional sessions Reduced exposure during regime conflict This is exactly why the higher-timeframe VWAP posture and RSI/wick filters exist. 🧠 How to Use the Strategy Report Effectively (Beginner Tip) To properly evaluate the system: Apply the strategy to one instrument (ex: NQ, ES, QQQ) Test one execution timeframe at a time (1m, 3m, or 5m) Keep HTF = 60m and MID = 15m fixed Review results over multiple days, not single sessions Pay attention to: Max drawdown Trade clustering Losing streak behavior (this matters more than win rate alone) This will give you a much more realistic understanding of what the system is designed to do. 🔒 About This Script (Important Notice) This SA Final VWAP — LITE script is intentionally: Condensed Restricted Directionally gated Missing advanced logic layers It represents the last free public release of this VWAP-based framework. The full version includes additional proprietary components such as: Expanded regime classification Enhanced VWAP slope and acceptance logic Advanced no-trade zones Multi-setup prioritization Internal failure-state suppression Additional probabilistic filters not exposed here These components materially change behavior during difficult market conditions and are not included in this public script. 📩 For Serious Users / Full Version Access If you find this indicator useful, insightful, or different from typical TradingView tools, you are encouraged to reach out directly. This script is meant to: Demonstrate the core logic Allow you to validate performance via the strategy report Help you decide whether the full framework is appropriate for your trading 📬 For access to the complete version and additional attributes of the algorithm, contact the author directly. This separation is intentional to: Protect intellectual property Maintain system integrity Ensure serious users receive proper context and guidance 🧭 Final Note This is not a prediction tool. It is a confirmation and participation framework designed to operate when probability, structure, and momentum align. Gray candles are protection. Green and red candles are permission. Use it with patience, discipline, and proper evaluation — and let the strategy report tell you the real story.
Estrategia Pine Script®
por SignalArchitecT_AI
Multi-Session Volume Profile Suite [MarkitTick]💡 This indicator provides a sophisticated, institutional-grade Volume Profile analysis suite that renders multiple temporal profiles simultaneously. It is designed for traders utilizing Auction Market Theory who require a holistic view of where value is being established across Daily, Weekly, and Monthly timeframes, alongside custom intraday sessions. By bypassing standard built-in functions in favor of a custom array-based calculation engine, this tool offers granular control over Value Area logic, Point of Control (POC) migration, and multi-timeframe confluence detection. ✨ Originality and Utility Standard Volume Profile tools often limit traders to a single timeframe or the visible range of the chart. This creates a fragmented view of the market, where a trader might see the daily value but miss the context of the weekly or monthly auction. This script solves that problem by layering three distinct higher-timeframe profiles (Daily, Weekly, Monthly) plus three customizable intraday session profiles onto a single chart. ● Key Differentiators Confluence Detection Engine: The script mathematically calculates when the Points of Control (POC) of different timeframes overlap (e.g., Daily POC inside Weekly POC). It explicitly highlights these high-probability zones with specific labels (e.g., "TRIPLE CONFLUENCE"), automating the search for key support/resistance levels. POC Migration Tracking: Unlike static profiles, this tool tracks the "Shift" of the POC. It visualizes whether value is migrating higher (▲), lower (▼), or remaining neutral (=) compared to the previous period, providing immediate insight into the trend's acceptance. Synthetic Chart Protection: The script includes logic to detect and prevent usage on non-standard chart types like Heikin Ashi or Renko, ensuring that the volume data processed is accurate and not subject to the repainting often found in synthetic OHLC variations. 🔬 Methodology and Concepts The core engine relies on a custom implementation of the Volume Profile formula using dynamic arrays. It does not simply pull pre-calculated data but processes the tick volume of the underlying asset relative to price action. • Volumetric Binning The script divides the price range of a specific period (e.g., a Day) into a user-defined number of "rows" (bins). As price trades within a specific bin, the corresponding volume is accumulated. Point of Control (POC): The bin with the highest accumulated volume is identified as the POC. This represents the "Fair Value" or the mode of the distribution for that period. Value Area (VA): The script calculates the total volume of the profile and then identifies the range surrounding the POC that contains a specific percentage (default 70%) of that volume. It uses a dual-scanning algorithm that expands upwards or downwards from the POC based on which adjacent row has higher volume, mimicking the auction process of testing prices. • Exact-Anchor Pivots Simultaneously, the script tracks "Exact-Anchor" pivots. Unlike standard pivots that settle at the close, these track the absolute High and Low of the period (Daily/Weekly/Monthly) in real-time and extend them until a new period begins. 🎨 Visual Guide The indicator uses a color-coded hierarchy to distinguish between timeframes. Understanding this visual language is critical for interpreting the data. ● Profile Hierarchy (Default Theme) Daily Profile (Yellow/Gold): Represents the immediate, short-term auction. Solid Line: Daily POC. Dotted Line: Daily Value Area High (VAH) and Low (VAL). Weekly Profile (Blue): Represents the intermediate auction. A solid Blue line indicates the Weekly POC. Monthly Profile (Purple): Represents the macro auction. A solid Purple line indicates the Monthly POC. ● Labels and Symbols Right-Side Labels: At the end of profile lines, text labels display the exact price of the POC. Shift Arrows (▲ / ▼): Located inside the POC label, these arrows indicate the direction the POC has moved relative to the previous period's POC. An Up arrow (▲) suggests buyers are accepting higher prices. Confluence Labels: If enabled, a text box appears near price action stating "POC CONFLUENCE" or "TRIPLE CONFLUENCE" when the POCs of different timeframes align within a tight margin. Block Symbol (⬛): A small block icon may appear above bars to denote the center of a specific session's time window. ● Pivot Lines Orange Lines: Previous Daily High (PDH) and Low (PDL). Green Dashed Lines: Previous Weekly High (PWH) and Low (PWL). Red Dotted Lines: Previous Monthly High (PMH) and Low (PML). White Dashed Line: New York Midnight Open price (if enabled). 📖 How to Use This suite is designed for "Contextual Trading." It answers the question: Where are we relative to value? • Trend Acceptance Observe the Shift Arrows on the POC labels. In a healthy uptrend, you should see a sequence of Daily and Weekly profiles with (▲) arrows, indicating that the market is validating higher prices as fair value. If price rises but the POC remains lower or shifts down, it may indicate a "weak high" or a potential reversal (divergence between price and value). • Support and Resistance The POC lines act as high-probability support and resistance. Price returning to a Weekly (Blue) or Monthly (Purple) POC often results in a reaction, as these are areas of significant historical agreement between buyers and sellers. • The Confluence Play Pay special attention when the "Confluence" label appears. When a Daily POC aligns with a Weekly or Monthly POC, that specific price level possesses reinforced structural importance. A rejection from such a level is a strong signal; a breakout through such a level often leads to an explosive move as value transitions rapidly. ⚙️ Inputs and Settings The script is highly customizable via the settings menu. ● General Settings Row Resolution: Determines the granularity of the profile. Higher numbers (e.g., 100) create smoother, more detailed profiles but use more calculation resources. Value Area %: Default is 70.0, representing the standard deviation of value. Show POC Shift: Toggles the (▲/▼) comparison logic. ● Profile Scope Show Daily/Weekly/Monthly: Checkboxes to individually enable or disable specific timeframe profiles. Session Lookback: Controls how many historical days/weeks the profiles are kept on the chart. ● Pivots (PDH/PMH/NYM) Show Pivots: Enables the High/Low lines for previous periods. Show NY Midnight: Specifically toggles the opening price of the New York session (00:00 EST). ● Alerts Approach Distance: Sets the sensitivity (in ticks) for alerts when price nears a key POC level. 🔍 Deconstruction of the Underlying Scientific and Academic Framework This indicator is grounded in Auction Market Theory (AMT) and statistical distribution analysis. • The Market as a Mechanism AMT postulates that the primary purpose of the market is to facilitate trade. Price advertises opportunity, while Time regulates the opportunity. Volume is the validation of that price. When the market spends significant time and transacts significant volume at a specific level, it establishes "Value." • Gaussian Distribution and Central Limit Theorem A Volume Profile is essentially a histogram of volume over price, often resembling a Gaussian (Normal) Distribution or "Bell Curve" when the market is balanced. POC (Mode): The peak of the curve. Mathematically, this is the mode of the dataset—the price occurring with the highest frequency (volume). Value Area (Standard Deviation): In a normal distribution, approximately 68.2% of data points fall within one standard deviation of the mean. This script defaults to a 70% Value Area to approximate this statistical boundary. Prices outside this area are considered statistically significant anomalies or "imbalanced." • Confluence and Probability The "Confluence" feature leverages the intersection of independent datasets. If the mode (POC) of a short-term distribution (Daily) aligns with the mode of a long-term distribution (Weekly), the probability of that price representing "True Value" increases exponentially. This aligns with statistical principles where overlapping data clusters suggest a stronger underlying signal amidst market noise. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Indicador Pine Script®
por MarkitTick
10
Daily Bias Trade Manager [MarkitTick]💡 The Daily Bias Trade Manager is a sophisticated technical analysis suite designed to automate the identification of high-probability intraday setups based on liquidity concepts and structural shifts. By synthesizing Previous Day High/Low (PDH/PDL) interactions with momentum confirmation and strict risk management protocols, this tool assists traders in navigating the "Daily Bias." It moves beyond simple signal generation by offering a complete trade management visualization system, projecting entries, stop losses, and take-profit levels directly onto the chart in real-time. ✨ Originality and Utility This script distinguishes itself by integrating institutional price action theory—specifically Liquidity Sweeps and Change in State of Delivery (CISD)—with mechanical filtering. While many indicators simply highlight highs and lows, the Daily Bias Trade Manager validates these levels by analyzing what happens *after* price tests them. It solves a common problem for intraday traders: "Analysis Paralysis." By automating the detection of structure breaks (MSS) and Fair Value Gaps (FVG) following a sweep of daily liquidity, it provides an objective framework for entry. Furthermore, the built-in "Position Box" feature removes the guesswork from trade execution by instantly calculating risk-to-reward ratios and visualizing them, allowing traders to see the feasibility of a trade before execution. 🔬 Methodology and Concepts The core logic operates on a sequential detection model: Liquidity Identification: The script first plots the Previous Day High (PDH) and Previous Day Low (PDL). These are critical institutional reference points where stop-loss orders (liquidity) often reside. The Sweep: A "Sweep" is confirmed when price breaches a PDH/PDL but fails to sustain the breakout, closing back inside the previous day's range. This suggests a "Fake-out" or liquidity grab, often a precursor to a reversal. Change in State of Delivery (CISD): Following a sweep, the script monitors local market structure. It looks for a decisive close past a recent swing point (Swing High for shorts, Swing Low for longs) within a user-defined bar window. This confirms that the counter-trend move has momentum. Confluence Filtering: To reduce false positives, the engine applies optional filters: RVOL (Relative Volume): Ensures the sweep occurred on significant volume (Climax behavior). RSI Momentum: Verifies that momentum supports the reversal direction. Trend Filter: Uses a long-term EMA to ensure trades align with the broader market direction. Entry Model: Upon validation, the script calculates an entry at the close (or optionally at a Fair Value Gap), places a Stop Loss at the sweep extreme, and projects three Take Profit targets based on configurable R:R ratios. 🎨 Visual Guide The indicator uses a distinct color-coded system to keep the chart clean yet informative: ● Liquidity Levels & Sweeps Orange/Blue Lines: Represent the PDH (Previous Day High) and PDL (Previous Day Low). Teal Shaded Zones: Indicate a "Buy-Side Sweep" (Price took highs and rejected). Red Shaded Zones: Indicate a "Sell-Side Sweep" (Price took lows and rejected). ● Position Management Boxes When a signal triggers, a structured box appears: Solid Gray Line: The theoretical Entry Price. Solid Red Line: The Stop Loss (SL), typically placed at the swing high/low of the sweep. Dashed Blue Lines: Represent TP1, TP2, and TP3 targets based on Reward-to-Risk settings. Labels: Data tags on the right side of the box show exact price coordinates for Entry, SL, and Targets. ● Signals & Clouds Green "BUY" Labels: Appear below the bar when a bullish sweep and structural shift are confirmed. Red "SELL" Labels: Appear above the bar when a bearish sweep is validated. Yellow Clouds: Highlight Fair Value Gaps (FVG) used for entry confluence or retests. ● Multi-Timeframe (MTF) Dashboard A panel (default: Top Right) displays the status of up to three higher timeframes. Trend: Shows "BULL" or "BEAR" based on EMA alignment. Liquidity: Indicates if the timeframe is "Taking Buy Liq", "Taking Sell Liq", or "Inside Range". 📖 How to Use ● Bullish Reversal Setup Wait for price to drop below the Blue PDL Line. Look for a Red Sell-Side Sweep Zone to form, indicating price has rejected lower prices. Wait for the Green BUY Signal . This confirms a shift in structure (CISD) back to the upside. Observe the Position Box. If the Risk/Reward is favorable (targets are within reasonable reach), consider the trade. Optional: Use the "Dynamic Targets" setting to target the previous swing high instead of a fixed ratio. ● Bearish Reversal Setup Wait for price to rally above the Orange PDH Line. Look for a Teal Buy-Side Sweep Zone . Wait for the Red SELL Signal confirming the rejection. Ensure the dashboard shows alignment (e.g., Higher Timeframe Trend is Bearish) for higher probability. ● Trade Management Enable the "ATR Trailing Stop" in settings to have the Stop Loss line dynamically adjust as price moves in your favor, locking in potential gains. ⚙️ Inputs and Settings ● General & Display Show Daily Liquidity: Toggles the PDH/PDL lines. Max Signals/Zones: Limits the visual clutter by restricting historical shapes. ● Detection Logic Swing Detection Length: Controls the sensitivity of pivot points. Higher numbers = fewer, more significant swings. CISD Window: How many bars after a sweep are allowed for the structure shift to occur. Use FVG Entry: If true, the signal waits for a retest of a gap rather than entering immediately at the close. ● Filters Volume (RVOL): Requires the sweep candle volume to be X times larger than average. Trend Filter: Only allows Buy signals above the EMA and Sell signals below it. Session Filter: Restricts signals to specific hours (e.g., New York Killzone). ● Targets & Management Target R:R: Sets the multiplier for TP1, TP2, TP3 relative to the stop loss distance. Use Dynamic Targets: Targets structural liquidity (Previous Highs/Lows) instead of fixed math ratios. ATR Trailing Stop: Activates the trailing stop mechanism. 🔍 Deconstruction of the Underlying Scientific and Academic Framework This indicator is grounded in the principles of Market Microstructure and Mean Reversion theory . 1. Liquidity Pools & Stop Runs: Academic literature on market microstructure suggests that order flow clusters around obvious visual references (PDH/PDL). Large market participants often utilize this "resting liquidity" to fill large block orders with minimal slippage. The "Sweep" logic detects this absorption phase. 2. Volatility Breakout vs. Fake-out: The script differentiates between a genuine breakout and a mean-reverting "fake-out" by analyzing the Close relative to the Range . A close back within the prior day's range after a breach signifies a failure of auction in the new territory, statistically increasing the probability of a reversion to the mean (equilibrium). 3. Momentum Validation (RSI & RVOL): By integrating Relative Volume (RVOL) and RSI, the script applies statistical significance testing to the price action. High volume at a range extreme without price progress (the sweep) indicates "Stopping Volume" or absorption, a key concept in Volume Spread Analysis (VSA). 🙏 Gratitude I would like to express my gratitude to harry040708 for sharing the insightful idea that made this script possible. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Indicador Pine Script®
por MarkitTick
Beta Coefficient & RSI Table (Midcaps vs Majors)Beta Coefficient & RSI Table (Midcaps vs Majors) This script builds a comprehensive beta comparison framework between midcap assets and majors for benchmarks, enhanced with a simple RSI midline strategy for clean entry and exit signaling. In addition to beta-based relative analysis, the script: Computes raw RSI values on midcap assets for standalone trend qualification Evaluates every midcap/major ratio combination using the same RSI-based regime logic Produces binary (0 / 1) signals suitable for systematic filtering and automation Designed with automation in mind, this script is perfect for daily alerts that can send webhooks externally, and is fully compatible to reliably daily close updates for: Ratio beta comparisons (midcaps vs majors) Binary RSI crossover signals on each ratio Base midcap trend state (RSI > 45 indicating an active uptrend) - 45 made for a slightly faster entry signal if used as a preliminary filter This makes the table ideal for automated system building, signal aggregates, and hands-off portfolio logic. Full credits to @MarktQuant and @NianiaFrania🐸 for the original script source.
Indicador Pine Script®
por FredrikVerbic
Institutional Alpha Vector | D_QUANT Institutional Alpha Vector | D_QUANT Overview The Institutional Alpha Vector (IAV) is an original trend-following framework that replaces single-indicator bias with a Weighted Composite Score . Instead of relying on a simple moving average, this script aggregates four distinct quantitative dimensions—Price, Momentum, Volatility, and Volume—into a normalized value called the "Alpha Vector." The goal of this tool is to identify "Institutional Consensus"—periods where multiple mathematical models align in the same direction, reducing the likelihood of false breakouts in choppy markets. How It Works: The Quantitative Engines The script calculates four independent signals. For each module, a state is stored (1 for Bullish, -1 for Bearish, 0 for Neutral). 1. Price Filter (Hull Moving Average): The script uses an HMA (a weighted moving average that reduces lag by using the square root of the period). A signal is triggered when the price crosses over/under this "Spine." 2. Volatility Regime (RMA + ATR): This module uses a Moving Average (RMA) combined with an Average True Range (ATR) offset. It acts as a volatility filter that price must move beyond 1 ATR from the mean to register a trend, ensuring the market isn't just "drifting." 3. Momentum Physics (ADX/DMI): Based on J. Welles Wilder’s Directional Movement Index. It checks if the is above (or vice versa) but only if the ADX (Average Directional Index) is above a user-defined threshold (default: 10), confirming the presence of a strong trend. 4. Institutional Flow (Chaikin Money Flow): This confirms price action with volume. It calculates the accumulation/distribution of money flow over a specific period. A signal is only valid if the CMF is positive (Bullish) or negative (Bearish). The Alpha Vector Calculation This is the core "originality" of the script. The indicator takes the active modules and calculates a Composite Score : This results in a value between -1.0 and +1.0 . * High Confidence Long: When the score exceeds +0.1 (adjustable). * High Confidence Short: When the score drops below -0.1 (adjustable). * Neutral Zone: When the score is near 0, the script colors the bars grey, signaling a lack of institutional consensus. Visual Intelligence: The "Electric Conduit" The script visualizes market energy through a custom rendering engine: * The Spine: A central line representing the HMA trend. * The Conduit (Fill): A dynamic gradient that expands or contracts based on the ATR (Average True Range) . This allows traders to see "volatility expansion" (wide ribbon) vs "compression" (tight ribbon) at a glance. * Bar Coloring : Automatically aligns the chart candles with the Alpha Vector state to remove cognitive load. How to Use 1. Define your Strategy: In the settings, you can toggle specific modules. If you are trading a low-volume asset, you might disable the **CMF** module. 2. Identify the Consensus: Look for the ribbon to change from Grey (Neutral) to Cyan/Gold. 3. Monitor the HUD: A small dashboard in the bottom right displays the live Alpha Vector score. A score of 1.0 means all four engines are in 100% bullish agreement. Disclaimer: Trading involves significant risk. This tool is for educational and analytical purposes and does not constitute financial advice.
Indicador Pine Script®
por D_QUANT
Anhnga4.0 - Filter ToggleINPUTS: 1.5 0.8 (OR 1.6 0.5/0.6) BE=0.45 1 MAs: 35 135 7 This Pine Script code defines a trading strategy named **"Anhnga4.0 - Filter Toggle"**. It is a trend-following strategy that uses momentum oscillators and moving averages to identify entries, while featuring a specific "Overextension Filter" to avoid buying at the top or selling at the bottom. Here is a breakdown of how the script works: --- ## 1. Core Trading Logic (The Entry) The strategy looks for a "perfect storm" of three factors before entering a trade: * **Momentum (WaveTrend):** It uses the WaveTrend oscillator (`wt1` and `wt2`). * **Long:** A bullish crossover happens while the oscillator is below the zero line (oversold). * **Short:** A bearish crossunder happens while the oscillator is above the zero line (overbought). * **Trend Confirmation:** The price must be on the "correct" side of three different lines: the 20-period Moving Average (BB Basis), the 50-period SMA, and the 200-period SMA. * **The Window:** You don't have to enter exactly on the cross. The `Signal Window` allows the trade to trigger up to 4 bars after the momentum cross, provided the trend filters align. ## 2. The "Overextension" Filter This is a unique feature of this script. It calculates the distance between the current price and the **50-period Moving Average**. * If the price is too far away from the MA (defined by the **ATR Limit**), the script assumes the move is "exhausted." * If `Enable Overextension Filter?` is on, the strategy will skip these trades to avoid "chasing the pump." * **Visual Cue:** The chart background turns **purple** when the price is considered overextended. --- ## 3. Risk Management & Exit Strategy The script manages trades dynamically using Bollinger Bands and Risk:Reward ratios: | Feature | Description | | --- | --- | | **Stop Loss (SL)** | Set at the **Lower Bollinger Band** for Longs and **Upper Band** for Shorts. | | **Take Profit (TP)** | Calculated based on your **RR Ratio** (default is 2.0). If your risk is $10, it sets the target at $20 profit. | | **Breakeven** | A "protection" feature. Once the price moves in your favor by a certain amount (the `Breakeven Trigger`), the script moves the Stop Loss to your entry price to ensure a "risk-free" trade. | --- ## 4. Visual Elements on the Chart * **Green Lines:** Your target price (TP). * **Red Lines:** Your initial Stop Loss. * **Yellow Lines:** Indicates the Stop Loss has been moved to **Breakeven**. * **Purple Background:** High alert—price is overextended; trades are likely being filtered out. --- ## Summary of Settings * **BB Multiplier:** Controls how wide your initial stop loss is. * **ATR Limit:** Controls how sensitive the "Overextension" filter is (higher = more trades allowed; lower = stricter filtering). * **Breakeven Trigger:** Set to 1.0 by default, meaning once you are "1R" (profit equals initial risk) in profit, the stop moves to entry.
Estrategia Pine Script®
por ngamei2912
RSI Statistics [Honestcowboy]⯁ Overview Research tool for analysing price behaviour based on RSI, find out how your favorite trading pair / timeframe combinations react to RSI. 5 Different projections based on 5 different value zones of RSI: RSI between 100-80 (very overbought) RSI between 80-60 (overbought) RSI between 60-40 (normal) RSI between 40-20 (oversold) RSI between 20-00 (very oversold) The script simply show price projections of different RSI environments so you can get an idea of what price could do when RSI reaches this RSI value zone. Ofcourse past price performance does not guarantee future returns and this is just projections based on the past. The script also projects RSI just like it does with price so you can get an idea of how long RSI might stay in overbought or very overbought etc Script is mainly a research tool to use to get ideas to explore further and build upon. Here are some examples: ⯁ Settings RSI Lenght: this is just normal RSI settings you find in standard RSI (bars used to calculate RSI) Projection Length: Amount of bars to save for projections. The projections will also project this many bars in futre. Higher values here increase loading time drastically. Price Action Boundaries: turn the highs / lows of projection zone on or off. I usually turn this off to look more closely at the averages themselves. Maximum Stats history: Not on by default, in case you only want to show the average projection of last X amount of occurences RSI was in a specific RSI value zone Selection of the different zones: in case you want to look at a specific zone alone or turn of some zones. It will no longer project for that zone both in the price projection and RSI projections. ⯁ How are these calculated? To calculate the average price reaction script uses a very simple approach. On each bar it will save price action array up to projection length back in time. It will then check what the RSI value was there and store the array inside the right matrix. It will use this matrix to calculate the averages, highs and lows of all these arrays for that specific RSI zone. It uses a simple arithmatic averaging method to get average value. The script uses a similar approach for projecting the RSI itself into the future. I include a visual showing it a bit better. This is from a different indicator of me using same approach: The script will force you into a specific background, bar color and color template. Script is not meant to be used with other scripts and should be used as a standalone tool.
Indicador Pine Script®
por Honestcowboy
1
Smart Fixed Volume Profile [MarkitTick]💡 This comprehensive analysis suite integrates Auction Market Theory, structural gap analysis, and statistical liquidity strain modeling into a single, cohesive toolkit. Designed for traders who require a granular view of institutional order flow, this indicator overlays a Fixed Range Volume Profile with intelligent price gap classification and a volatility-adjusted exhaustion detector. By combining these three distinct analytical dimensions, it allows users to identify value consensus, structural breakouts, and potential market turns driven by liquidity shortages. ✨ Originality and Utility While standard Volume Profiles display where trading occurred, this script advances the concept by contextually analyzing *how* price arrived at those levels. It solves the problem of isolated analysis by fusing three disparate methodologies: Contextual Integration: It does not merely show support and resistance; it qualifies moves using "Smart Gaps" (classifying gaps based on market structure) and "Liquidity Strain" (identifying unsustainable price velocity). Institutional Footprint: The inclusion of an "Unusual Volume" highlighter within the profile bars helps traders spot hidden institutional accumulation or distribution blocks that standard profiles miss. Hybrid Logic: By combining a fixed-time profile (anchored to specific dates) with dynamic, developing gap analysis, it provides both a static roadmap of the past and a dynamic interpretation of current price action. 🔬 Methodology and Concepts • Fixed Volume Profile Engine The core of the indicator constructs a volume distribution histogram over a user-defined time window. It utilizes a custom aggregation engine that: Fetches higher-timeframe volume and price data to ensure accuracy. Segments the price range into specific "bins" or rows. Allocates volume to these bins based on price action within the bar, separating Buying Volume (Up bars) from Selling Volume (Down bars). Calculates the Point of Control (POC) —the price level with the highest traded volume—and the Value Area , which contains 70% (customizable) of the total volume centered around the POC. • Smart Gap Logic The script systematically identifies price gaps and classifies them based on their location relative to market pivots (Highs/Lows): Breakaway Gaps: Occur when price gaps beyond a significant structural pivot (Lookback High/Low), signaling a potential trend initiation. Runaway Gaps: Occur within an existing trend without breaking structure, indicating trend continuation. Exhaustion Gaps: Identified when a gap occurs late in a mature trend (measured by bar count since the last pivot) accompanied by a volume spike, suggesting the trend is overextended. • Liquidity Strain Detector This module utilizes a statistical approach to measure market stress. It calculates "Illiquidity" by analyzing the ratio of True Range to Volume (Price Impact). It applies a Logarithmic transformation to normalize the data. It calculates a Z-Score (Standard Deviation from the mean) of this impact. If the Z-Score exceeds a threshold (e.g., 2.0 Sigma) while the trend opposes the price move, it triggers an exhaustion signal, indicating that price is moving too easily on too little volume (thin liquidity). 🎨 Visual Guide • Volume Profile Elements Histogram Bars: Horizontal bars representing volume at price. Cyan indicates bullish volume; Red indicates bearish volume. Unusual Volume Highlight: Bars with volume exceeding the average by a set factor (default 2x) are highlighted with brighter, distinct overlays to denote institutional interest. POC Line: A solid Yellow line marking the price level with the highest volume. VAH / VAL Lines: Dashed Blue lines marking the Value Area High and Value Area Low. Background Box: A grey shaded area encapsulating the entire time and price range of the profile. • Smart Gap Boxes Blue Box (Breakaway): Marks the start of a new structural move. Orange Box (Runaway): Marks continuation gaps in the middle of a trend. Red Box (Exhaustion): Marks potential trend termination points. Dotted Lines: Extend from the center of gap boxes to serve as future support/resistance levels. These boxes are automatically deleted if price "fills" or violates the gap level. Note: This tool incorporates core components from [ Smart Gap Concepts ], optimized for this specific strategy. • Liquidity Signals Green Label (SE): "Seller Exhaustion" – Appears below bars in a downtrend when selling pressure is statistically overextended. Red Label (BE): "Buyer Exhaustion" – Appears above bars in an uptrend when buying pressure is statistically overextended. Note: This tool incorporates core components from [ Liquidity Strain Detector ], optimized for this specific strategy. 📖 How to Use • Interactive Range Selection: This indicator features a flexible, interactive input system. Upon adding the script to your chart, execution is paused until the analysis range is defined. You will be prompted to click on the chart twice: first to establish the Start Date and second to establish the End Date. Once these anchor points are confirmed, the indicator will automatically load the data and generate the profile for the selected specific period. ● Strategies for Optimal Anchoring the optimal starting and ending points for high-probability setups: Swing Highs and Lows (Trend Analysis): Anchor the Start Date at a major structural swing high or low and the End Date at the current price using the Extend to Present feature. This identifies the "Fair Value" for the entire price move . Consolidation/Range Anchoring: Set the Start Date at the first bar of a sideways range and the End Date at the breakout candle. This reveals the high-node volume clusters that will act as future support or resistance. Session-Based Anchoring (Intraday): Align the Start Date with the session open (e.g., London or New York open) to track institutional flow for that specific day . Event-Driven Anchoring: Place the Start Date on a significant news event or a Breakaway Gap identified by the script's Gap Engine. This helps determine if the new volume supports the direction of the gap. Correction Cycles: During a pullback, anchor the Start Date at the start of the correction to find the Value Area Low (VAL), which often serves as a tactical entry point for a trend continuation. • Identifying Value: Use the Value Area to gauge market consensus. Acceptance of price within the VA indicates balance. A breakout above VAH or below VAL suggests the market is searching for new value. The POC often acts as a magnet for price correction. • Trading Breakouts: Watch for Breakaway Gaps (Blue) that align with a move out of the Volume Profile's Value Area. This confluence increases the probability of a sustained trend. • Spotting Reversals: Combine Exhaustion Gaps (Red) with Liquidity Strain Signals (SE/BE) . If price gaps up into a low-volume node on the profile and prints a "Buyer Exhaustion" signal, it suggests the move is unsupported by liquidity and liable to reverse. • Support and Resistance: The extended dotted lines from the Smart Gap boxes act as dynamic support/resistance. A retest of a "Runaway Gap" is often a viable entry point for trend continuation. ⚙️ Inputs and Settings • Global Profile: Start/End Date: Define the exact window for the volume profile calculation. Extend to Present: If checked, the profile updates with live data beyond the end date. • Profile Settings: Number of Rows: Determines the vertical resolution (granularity) of the histogram. Value Area %: Default is 70%, representing one standard deviation of volume distribution. Placement: Position the profile on the Left or Right of the defined range. • Liquidity & Gaps: Unusual Threshold: Multiplier of average volume to highlight institutional bars (default 2.0x). Structure Lookback: Adjusts the sensitivity of pivot detection for gap classification. Stress Threshold (Sigma): The Z-Score limit for triggering Liquidity Strain signals (default 2.0). 🔍 Deconstruction of the Underlying Scientific and Academic Framework • Auction Market Theory (AMT): The script is grounded in AMT, which posits that the market's primary function is to facilitate trade. The Volume Profile visualizes this by displaying a bell curve of price distribution. The Value Area (typically 70%) corresponds to the First Standard Deviation in a normal Gaussian distribution, representing the area of "Fair Value" where buyers and sellers agree. • Market Microstructure & Kyle’s Lambda: The Liquidity Strain module draws conceptually from Kyle’s Lambda, a metric in market microstructure that measures market depth and price impact (Illiquidity). By calculating the ratio of price change (True Range) to Volume, the script approximates the "cost" of moving the market. • Statistical Z-Score Normalization: To make the liquidity data actionable, the script applies Z-Score normalization: Z = (X - μ) / σ . This converts raw illiquidity values into standard deviations from the mean. A Z-Score above +2.0 signifies a statistically significant anomaly—an outlier event where price moved excessively relative to the volume traded, often preceding a mean-reversion event. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Indicador Pine Script®
por MarkitTick
9
Supply & Demand Sniper369Indicator Philosophy: The Convergence of Structure and Liquidity The Supply & Demand Sniper369 is not just another signal generator; it is a professional-grade execution framework built on the principles of Institutional Order Flow and Liquidity Engineering. While standard indicators often lag or provide signals in "no-man's land," this script is designed to identify high-probability reversal points by combining macro-structural zones with micro-execution triggers. What Makes This Script Original? Most scripts treat Supply/Demand and Entry Triggers as separate entities. The originality of the Sniper369 lies in its Strict Hierarchical Logic. It employs a "Two-Factor Authentication" system for trades: 1. Structural Validation: Identifying where "Smart Money" has historically left unfilled orders. 2. Liquidity Sweep Confirmation: Using the Enigma 369 logic to detect a specific manipulation pattern (a stop-run or "sweep") that occurs exclusively within those structural zones. By using Pine Script v6 Object-Oriented Programming, the script manages dynamic arrays of boxes and lines that auto-delete upon mitigation, ensuring your chart remains a clean, actionable workspace. Underlying Concepts & Calculations 1. Macro: Structural Supply & Demand The indicator calculates zones based on Pivot Strength and Volatility Scaling. Calculations: It scans for major structural pivots ( and ). Once a pivot is confirmed, it doesn't just draw a line; it calculates a zone width based on the Average True Range (ATR). Why it works: Institutions do not enter at a single price; they enter in "pockets" of liquidity. Using ATR-based zones ensures that on high-volatility pairs (like Gold or GBP/JPY), your zones are appropriately wide, while on lower-volatility pairs, they remain tight and precise. 2. Micro: The Enigma 369 Sniper Logic Once price enters a zone, the "Sniper" logic activates. This is based on the Institutional Wick-Liquidity concept. The Sweep: The script looks for a candle that breaks the high/low of the previous candle (trapping "breakout" traders) but fails to hold that level. The Mean Threshold (50% Wick): A core calculation of the Enigma logic is the midpoint of the rejection wick. Calculation: for Sells. Logic: Institutions often re-test the 50% level of a long wick to fill the remaining orders before the real move starts. How to Use the Indicator Step 1: Wait for Structural Alignment Observe the Teal (Demand) and Red (Supply) boxes. These are your "Points of Interest" (POI). Do not take any trades until the price is physically touching or inside these boxes. Step 2: Monitor for the Sniper Trigger When the price is inside a zone, look for the appearance of the Solid and Dotted lines. The Solid Line: This is the extreme of the manipulation candle. It serves as your structural invalidation level (Stop Loss). The Dotted Line: This is the 50% Wick level. It is your "Sniper Entry" target. Step 3: Execution & Alerts The script features a built-in alert system that notifies you the moment a Sniper activation occurs inside a zone. Conservative Entry: Place a Limit Order at the Dotted Line. Aggressive Entry: Market enter on the close of the Sniper candle if the price has already reacted strongly. Exit: Target the opposing Supply or Demand zone for a high Risk-to-Reward ratio. Technical Summary for Traders Trend Detection: Uses an EMA-50 Filter to ensure Snipers only fire in the direction of the dominant trend (optional). Scalping/Day Trading: Optimized for the 1m, 5m, and 15m timeframes, but functions perfectly on 4H/Daily for swing traders. Dynamic Cleanup: The script automatically deletes lines if the price closes past them, signaling that the "Liquidity Grab" was actually a breakout, thus preventing you from entering a losing trade.
Indicador Pine Script®
por Niko-picasso369
8
EMA 8 48 System v1Short Description: A trend-following indicator using EMA crossovers, ATR-based volatility filter, and a cooldown period to reduce false signals. Designed for clear buy/sell signals in trending markets. Full Description: What is this indicator? This script implements a dual EMA crossover system (8-period and 48-period EMAs) with a trend filter (EMA200), ATR-based volatility filter, and a cooldown period to avoid overtrading. It visually plots EMAs, buy/sell signals, and ATR-based stop loss/target levels. Why is it useful? Helps traders identify high-probability trend entries and avoid choppy, low-volatility conditions. Reduces false signals by requiring trend confirmation, sufficient volatility, and spacing out trades. Suitable for intraday and swing trading on most liquid assets. When to use: Best used in markets showing clear trends (not sideways). Works on most timeframes, but higher timeframes (15m, 1h, 4h, daily) tend to give more reliable signals. How to spot buy and sell: Buy: Green “BUY” label appears when EMA8 crosses above EMA48, price is above EMA200, and ATR is above the minimum threshold. Sell: Red “SELL” label appears when EMA8 crosses below EMA48, price is below EMA200, and ATR is above the minimum threshold. ATR-based stop loss and target levels are plotted for each signal. Additional tips: Adjust the minimum ATR and cooldown settings to match your asset’s volatility and your trading style. Use in conjunction with price action or higher timeframe analysis for best results. Avoid trading during low volatility or sideways markets, as signals may be less reliable. Always backtest and forward-test before using live. How to add signals and update settings: Use the script’s input panel to adjust EMA lengths, ATR settings, minimum ATR, and cooldown period. To add alerts, use TradingView’s “Add Alert” feature and select the buy or sell conditions from the script’s alert options. For further customization, you can edit the script to add additional filters or notification logic. This indicator is for educational purposes only. Always use proper risk management and do your own research before trading. Disclaimer: This script is for informational and educational purposes only and does not constitute financial advice or a recommendation to buy or sell any financial instrument. Trading involves risk. Past performance is not indicative of future results. Always do your own research and use proper risk management. The author is not responsible for any losses incurred from the use of this script. By using this script, you agree to take full responsibility for your trading decisions.
Indicador Pine Script®
por ProAITrader
Support and Resistance Breakout Signals [MarkitTick]💡 This indicator provides a comprehensive, automated system for identifying, tracking, and trading Support and Resistance (S/R) breakouts. By synthesizing classic Swing High and Swing Low pivot analysis with Multi-Timeframe (HTF) capabilities and Volume confirmation, it transforms raw price action into actionable structural data. It is designed to declutter charts by automatically managing active levels and highlighting significant market structure shifts (Higher Highs, Lower Lows) alongside verified breakout signals. ✨ Originality and Utility While many indicators draw static pivot points, this tool distinguishes itself through "State Management." It treats Support and Resistance not just as historical markers, but as active zones that evolve. Dynamic Level Management: Instead of flooding the chart with infinite lines, the script uses arrays to store a specific number of recent levels. As price action progresses, invalid or broken levels are removed or updated, keeping the analysis focused on current relevance. Multi-Timeframe Confluence: Uniquely, it allows you to overlay higher timeframe support and resistance levels (e.g., Daily levels on a 4-hours chart) without changing your chart view, enabling top-down analysis instantly. Market Structure Labeling: It automatically tags pivot points with Dow Theory labels (HH, LH, LL, HL), aiding traders in instantly recognizing trend direction without manual charting. 🔬 Methodology and Concepts The script operates on three core technical pillars: ● Swing Pivot Detection The foundation is the detection of local extrema using a "Left/Right" bar lookback mechanism. A Swing High is identified when a high is greater than the L bars preceding it and the R bars following it. This confirms a fractal peak or valley. Note on Confirmation: Because the script waits for R bars to close to confirm a pivot, the lines appear retroactively. However, the extension of these lines and subsequent breakout signals occur in real-time. ● Breakout Logic with Volume Integration A breakout is triggered when the Close price crosses an active S/R line. Resistance Break: Current Close > Resistance Level (and Previous Close ≤ Level). Support Break: Current Close < Support Level (and Previous Close ≥ Level). Volume Confirmation: An optional filter requires the breakout bar's volume to exceed a Moving Average of volume, ensuring momentum backs the move. ● Time Decay To mimic the reduced relevance of stale levels, the script includes a "Time Decay" feature. If a level is not interacted with for a user-defined number of bars, it is automatically purged from the system, ensuring the chart reflects only fresh interest levels. 🎨 Visual Guide The indicator uses a specific color-coding and labeling system to convey information quickly: ● Support & Resistance Lines Red Lines (Thin): Represent active Resistance levels on the current timeframe. Green Lines (Thin): Represent active Support levels on the current timeframe. Fuchsia Lines (Thick): Represent Higher Timeframe (HTF) Resistance levels. Aqua Lines (Thick): Represent Higher Timeframe (HTF) Support levels. ● Market Structure Labels Located at the pivot points, these text labels define the trend structure: HH / LH: Higher High / Lower High (Red Text). LL / HL: Lower Low / Higher Low (Green/Aqua Text). HTF-R / HTF-S: Indicates major structural pivots from the higher timeframe. ● Breakout Signals When a valid break occurs, a label appears above or below the bar: Blue Triangle Up (▲): Bullish breakout through resistance. Blue Triangle Down (▼): Bearish breakout through support. Number in Label: Indicates the cumulative count of breaks for that specific trend sequence (e.g., "1" is the first break, "2" is the second). The breakout count represents the intensity of the move. A reading greater than 1 signals exceptional market strength, indicating the penetration of multiple Key Levels (Support or Resistance) within a single candle. 📖 How to Use Trend Continuation: In an uptrend (sequence of HH/HL), wait for a Blue Triangle Up (▲) occurring at a Red Resistance line. This signals the continuation of the trend. Trend Reversal: Watch for a "Structure Break." If price is making Higher Highs, but then breaks a Green Support line (generating a ▼ signal) and forms a Lower Low (LL), the trend may be reversing. HTF "Bounce" Plays: Use the thick Fuchsia/Aqua lines as major zones. If price approaches a thick Aqua line (HTF Support) and fails to break it, look for LTF bullish structure (HH/HL) to form for an entry. Volume Filtering: Enable the "Volume Confirmation" setting to filter out "fakeouts" (breaks on low volume). ⚙️ Inputs and Settings ● Swing Settings Left/Right Bars: Determines the sensitivity of the pivot detection. Higher numbers = fewer, more significant pivots. Max Stored Levels: How many S/R lines to keep in memory at once. Max Break Labels: Limits visual clutter by capping the number of signal labels. ● Usability & HTF Enable Time Decay: If true, deletes lines that are older than "Decay Period" bars. Enable HTF Levels: Toggles the display of higher timeframe pivots. HTF Timeframe: Select the specific timeframe for the macro view (e.g., "D" for Daily). ● Analysis Volume Confirmation: Toggles the requirement for volume to be above its average for a signal to fire. Show Market Structure: Toggles the HH/LL text labels. 🔍 Deconstruction of the Underlying Scientific and Academic Framework The script's logic is rooted in Fractal Geometry and Auction Market Theory . ● Mandelbrot's Fractals: The use of `leftBars` and `rightBars` is a direct application of identifying market fractals. Markets are self-similar across timeframes; a pivot on a 5-minute chart is structurally identical to one on a Weekly chart. This script exploits this property by allowing nested timeframe analysis (LTF inside HTF). ● Memory of Price (Behavioral Finance): Support and resistance lines represent zones where market participants have previously established value (Price Memory). The "Breakout" signal is mathematically significant because it represents a shift in the supply/demand equilibrium. When price closes beyond a stored array value (the pivot price), it signifies that the aggressive limit orders that created the pivot have been exhausted or withdrawn, validating a new search for value. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Indicador Pine Script®
por MarkitTick
15
Smart Money Flow Oscillator [MarkitTick]💡This script introduces a sophisticated method for analyzing market liquidity and institutional order flow. Unlike traditional volume indicators that treat all market activity equally, the Smart Money Flow Oscillator (SMFO) employs a Logic Flow Architecture (LFA) to filter out market noise and "churn," focusing exclusively on high-impact, high-efficiency price movements. By synthesizing price action, volume, and relative efficiency, this tool aims to visualize the accumulation and distribution activities that are often attributed to "smart money" participants. ✨ Originality and Utility Standard indicators like On-Balance Volume (OBV) or Money Flow Index (MFI) often suffer from noise because they aggregate volume based simply on the close price relative to the previous close, regardless of the quality of the move. This script differentiates itself by introducing an "Efficiency Multiplier" and a "Momentum Threshold." It only registers volume flow when a price move is considered statistically significant and structurally efficient. This creates a cleaner signal that highlights genuine supply and demand imbalances while ignoring indecisive trading ranges. It combines the trend-following nature of cumulative delta with the mean-reverting insights of an In/Out ratio, offering a dual-mode perspective on market dynamics. 🔬 Methodology The underlying calculation of the SMFO relies on several distinct quantitative layers: • Efficiency Analysis The script calculates a "Relative Efficiency" ratio for every candle. This compares the current price displacement (body size) per unit of volume against the historical average. If price moves significantly with relatively low volume, or proportional volume, it is deemed "efficient." If significant volume occurs with little price movement (churn/absorption), the efficiency score drops. This score is clamped between a user-defined minimum and maximum (Efficiency Cap) to prevent outliers from distorting the data. • Momentum Thresholding Before adding any data to the flow, the script checks if the current price change exceeds a volatility threshold derived from the previous candle's open-close range. This acts as a gatekeeper, ensuring that only "strong" moves contribute to the oscillator. • Variable Flow Calculation If a move passes the threshold, the script calculates the flow value by multiplying the Typical Price and Volume (Money Flow) by the calculated Efficiency Multiplier. Bullish Flow: Strong upward movement adds to the positive delta. Bearish Flow: Strong downward movement adds to the negative delta. Neutral: Bars that fail the momentum threshold contribute zero flow, effectively flattening the line during consolidation. • Calculation Modes Cumulative Delta Flow (CDF): Sums the flow values over a rolling period. This creates a trend-following oscillator similar to OBV but smoother and more responsive to real momentum. In/Out Ratio: Calculates the percentage of bullish inflow relative to the total absolute flow over the period. This oscillates between 0 and 100, useful for identifying overextended conditions. 📖 How to Use Traders can utilize this oscillator to identify trend strength and potential reversals through the following signals: • Signal Line Crossovers The indicator plots the main Flow line (colored gradient) and a Signal line (grey). Bullish (Green Cloud): When the Flow line crosses above the Signal line, it suggests rising buying pressure and efficient upward movement. Bearish (Red Cloud): When the Flow line crosses below the Signal line, it suggests dominating selling pressure. • Divergences The script automatically detects and plots divergences between price and the oscillator: Regular Divergence (Solid Lines): Suggests a potential trend reversal (e.g., Price makes a Lower Low while Oscillator makes a Higher Low). Hidden Divergence (Dashed Lines): Suggests a potential trend continuation (e.g., Price makes a Higher Low while Oscillator makes a Lower Low). "R" labels denote Regular, and "H" labels denote Hidden divergences. • Dashboard A dashboard table is displayed on the chart, providing real-time metrics including the current Efficiency Multiplier, Net Flow value, and the active mode status. • In/Out Ratio Levels When using the Ratio mode: Values above 50 indicate net buying pressure. Values below 50 indicate net selling pressure. Approaching 70 or 30 can indicate overbought or oversold conditions involving volume exhaustion. ⚙️ Inputs and Settings Calculation Mode: Choose between "Cumulative Delta Flow" (Trend focus) or "In/Out Ratio" (Oscillator focus). Auto-Adjust Period: If enabled, automatically sets the lookback period based on the chart timeframe (e.g., 21 for Daily, 52 for Weekly). Manual Period: The rolling lookback length for calculations if Auto-Adjust is disabled. Efficiency Length: The period used to calculate the average body and volume for the efficiency baseline. Eff. Min/Max Cap: Limits the impact of the efficiency multiplier to prevent extreme skewing during anomaly candles. Momentum Threshold: A factor determining how much price must move relative to the previous candle to be considered a "strong" move. Show Dashboard/Divergences: Toggles for visual elements. 🔍 Deconstruction of the Underlying Scientific and Academic Framework This indicator represents a hybrid synthesis of academic Market Microstructure theory and classical technical analysis. It utilizes an advanced algorithm to quantify "Price Impact," leveraging the following theoretical frameworks: • 1. The Amihud Illiquidity Ratio (2002) The core logic (calculating body / volume) functions as a dynamic implementation of Yakov Amihud’s Illiquidity Ratio. It measures price displacement per unit of volume. A high efficiency score indicates that "Smart Money" has moved the price significantly with minimal resistance, effectively highlighting liquidity gaps or institutional control. • 2. Kyle’s Lambda (1985) & Market Depth Drawing from Albert Kyle’s research on market microstructure, the indicator approximates Kyle's Lambda to measure the elasticity of price in response to order flow. By analyzing the "efficiency" of a move, it identifies asymmetries—specifically where price reacts disproportionately to low volume—signaling potential manipulation or specific Market Maker activity. • 3. Wyckoff’s Law of Effort vs. Result From a classical perspective, the algorithm codifies Richard Wyckoff’s "Effort vs. Result" logic. It acts as an oscillator that detects anomalies where "Effort" (Volume) diverges from the "Result" (Price Range), predicting potential reversals. • 4. Quantitative Advantage: Efficiency-Weighted Volume Unlike linear indicators such as OBV or Chaikin Money Flow—which treat all volume equally—this indicator (LFA) utilizes Efficiency-Weighted Volume. By applying the efficiency_mult factor, the algorithm filters out market noise and assigns higher weight to volume that drives structural price changes, adopting a modern quantitative approach to flow analysis. ● Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Indicador Pine Script®
por MarkitTick
9
Broadening Formation Structure Review ToolThis script provides an educational, checklist-based framework for studying Broadening Formations together with basic Strat-style reversal behavior and higher-timeframe direction. It is designed to show multiple structural conditions in one place so users can observe how they interact. It does not execute trades, generate signals, or provide financial advice. What makes this script original is the integration of four components into a single logical framework: • dynamic tracking of Broadening Formation high/low levels • proximity evaluation relative to those levels • classification of simple bar reversal behavior • higher-timeframe open–close continuity checks Instead of using these concepts as separate tools, the script combines them into a single checklist so users can see when multiple conditions occur at the same time. Broadening Formation levels may be user-defined or automatically derived using: • unlimited dynamic expansion • range-limited dynamic expansion • swing-pivot detection • manual input mode Users may also optionally lock levels once a structure is identified. Proximity to BF levels can be measured in several ways, including percentage, ticks, points, dollars, ATR multiples, or expected-move multiples. The script can also detect when price takes out BF highs or lows. The script classifies basic Strat-style price behavior, including: • two-up / two-down moves • outside bars • failed 2U/2D reversals • 2D→2U and 2U→2D reversals A selectable higher timeframe (such as 60, 240, D, W, or M) is used to evaluate direction by comparing the higher-timeframe open and close. The on-chart table summarizes: • current BF High and BF Low levels • proximity status relative to those levels • whether BF highs or lows have been taken out • reversal classification results • higher-timeframe direction • theoretical risk distance and 2R/3R projections Optional alerts can notify when three-condition or four-condition checklist alignment occurs, based only on the logical rules visible in the script. Optional chart lines for BF levels may also be displayed. Transparency and behavior notes • swing pivots repaint until confirmed • higher-timeframe direction is only final at bar close • dynamically derived BF levels may update as price forms new extremes This script is intended purely for market-structure study and education. It does not guarantee performance, predict outcomes, or recommend trades.
Indicador Pine Script®
por hardwaybets
Smart Candlestick Pattern Filter [MarkitTick]💡 This Script is a sophisticated technical analysis tool designed to identify, grade, and display over 40 distinct candlestick formations based on a proprietary strength and context filtering system. Unlike standard pattern finders that often clutter charts with conflicting signals, this script utilizes a hierarchy logic to display only the most significant pattern detected on any given candle, ensuring chart clarity and actionable data. ● Originality and Utility The primary utility of this script lies in its filtering engine. Standard indicators often flag every minor Doji or Spinning Top, creating noise. This indicator categorizes patterns into five distinct levels of strength, ranging from simple indecision to very strong reversal or continuation signals. Furthermore, it incorporates a Trend Context filter, which checks the relationship between price and a Simple Moving Average (SMA). This ensures that reversal patterns (like Hammers) are prioritized during downtrends, while continuation patterns are highlighted during established moves, reducing false positives. ● Methodology The indicator evaluates price action using specific ratios between the Open, High, Low, and Close, alongside the body size relative to the total range. It assigns a strength score to each detected pattern. • Pattern Strength Grading Strength 1 (Indecision): Includes patterns like Doji, Spinning Tops, Dragonfly, and Gravestone Dojis. These signal a pause in momentum. Strength 2 (Weak): Includes patterns like Hanging Man, Inverted Hammer, Belt Holds, and In-Neck lines. These suggest potential movement but often require confirmation. Strength 3 (Moderate): Includes classic reversals like Hammers, Shooting Stars, Haramis, Dark Cloud Cover, and Piercing Lines. Strength 4 (Strong): Includes major signals like Engulfing patterns, Morning/Evening Stars, and Marubozu candles. Strength 5 (Very Strong): Reserved for rare, high-probability multi-candle formations like Three White Soldiers, Three Black Crows, Rising/Falling Three Methods, and Breakaway gaps. The script calculates all potential patterns for the current bar and then compares their strength scores. Only the pattern with the highest strength is displayed. If the Show Trend Context option is enabled, the script further validates the pattern against the current market direction (determined by the SMA and slope) before plotting. ● How to Use Traders can use this tool to identify potential entry and exit points based on the strength of the signal. • Visual Signals Patterns are labeled directly on the chart: Green Labels/Text: Indicate Bullish patterns. Red Labels/Text: Indicate Bearish patterns. Gray/White Labels: Indicate Indecision or Weak patterns. Hovering over any label provides the full name of the pattern and its strength rating (e.g., "Bullish Engulfing - Strength: Strong"). • Trading Logic High Strength Signals (Levels 4-5): These can be used as primary triggers for trend reversals or strong continuations. Moderate Signals (Level 3): Useful for adding confluence to existing analysis or anticipating a setup. Indecision (Level 1): Often useful for taking profits or tightening stop-losses, as they indicate the current trend may be stalling. ● Settings Show Only Strong Patterns: When enabled, filters out Strength 1, 2, and 3, showing only the most significant signals (Strength >= 4). Max Patterns to Display: Limits the number of historical labels to prevent chart clutter. Max Candles to Check Engulfing: Adjusts how far back the script looks to validate the size of an engulfing candle. Trend Detection Period: Sets the length of the SMA used to determine the background trend context. Show Only Trend-Appropriate Patterns: If checked, bullish reversals are only shown in downtrends, and bearish reversals in uptrends. ● Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Indicador Pine Script®
por MarkitTick
8
Volume Flow and Delta Analysis [MarkitTick]💡This comprehensive technical indicator is designed for traders who require a granular view of market participation that goes beyond standard volume bars. By leveraging the advanced "Intrabar Analysis" capabilities of Pine Script, this tool deconstructs every single price candle on your chart into its constituent lower-timeframe components. It effectively "X-rays" the market to determine whether the volume inside a bar was primarily driven by aggressive buying or aggressive selling, providing a definitive read on market sentiment and institutional control. ● Originality and Utility Most standard volume indicators display a simple aggregate total—a single block of volume that fails to distinguish between buying pressure and selling pressure. A high-volume candle could represent a strong breakout, or it could represent a "selling tail" where buyers were absorbed. This script solves that ambiguity. It is not a standard oscillator; it is a quantitative flow analyzer. It reconstructs the "Delta" (the net difference between buying and selling volume) by querying lower-timeframe data (e.g., analyzing 1-minute data inside a 60-minute bar). This allows traders to spot "Hidden Accumulation" (where price is flat but Delta is rising) or "Exhaustion" (where price rises but Delta falls), offering a significant edge in identifying reversals and trend continuations. ● Methodology The script operates through a sophisticated three-stage quantitative process: • Intrabar Data Acquisition The script uses the security_lower_tf function to fetch granular price and volume data from a lower timeframe (automatically detected or user-defined). This allows the script to see what happened "inside" the current chart's bar. • Directional Flow Distribution For every lower-timeframe interval, the script assigns volume to either "Bullish Flow" or "Bearish Flow." If the close is higher than the open on the lower timeframe, the volume is credited to buyers. If the close is lower, it is credited to sellers. This logic is far more accurate than simple "Up/Down" tick data, as it respects price action. • Statistical Volatility Normalization To filter out noise, the script calculates a dynamic baseline using an Exponential Moving Average (EMA) of the absolute Delta values. It then compares the current bar's Delta against this baseline. This generates an "Intensity Score" (measured in Sigma or Standard Deviations). This ensures that a "High Volume" signal is relevant to the current market volatility, rather than relying on fixed, arbitrary thresholds. ● How to Use This tool is designed to be a complete decision-support system. Here is how to interpret its various components: • The Volume Histogram The background histogram displays Total Volume, while the foreground bars show the split between Buying (Teal) and Selling (Red) flow. Use this to gauge the "quality" of a move. A price rally accompanied by high Teal volume is healthy; a rally on low volume or high Red volume is suspect. • The Delta Histogram This plots the net difference. Strong Positive (Green) Delta: Indicates aggressive market buy orders are hitting the ask. Strong Negative (Red) Delta: Indicates aggressive market sell orders are hitting the bid. Divergence: If Price makes a New High but the Delta Histogram makes a Lower High, this is a classic signal of exhaustion and potential reversal. • The Heads-Up Display (HUD) A dashboard table pinned to the chart provides real-time metrics: Session Delta: The cumulative buy/sell pressure for the current trading day. Flow Regime: Clearly states if the market is in "ACCUMULATION" or "DISTRIBUTION." Intensity: Shows how statistically significant the current volume is (e.g., "2.5x" means the volume is 2.5 times the standard deviation, indicating an anomaly). • Visual Signals The script plots triangle markers on top of the chart when the Delta Intensity exceeds the user-defined threshold. Up Triangle (Green): Signals strong institutional buying pressure (Delta > Threshold). Down Triangle (Red): Signals strong institutional selling pressure (Delta < Threshold). ● Inputs and Configuration Lower Timeframe: By default, the script auto-selects the best resolution (e.g., 1-minute data for hourly charts). Users can override this to fine-tune the granularity. Volume MA Length: Defines the lookback period for the volume moving average. Delta Volatility Threshold (Sigma): This is the sensitivity filter for signals. A higher value (e.g., 2.0) results in fewer but more significant signals. A lower value (e.g., 1.0) provides more frequent alerts. Visual Logic: Users can toggle the Dashboard, Delta Histogram, and Moving Averages on or off to suit their charting aesthetic. ● Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Indicador Pine Script®
por MarkitTick
BTC - DCA vs HODL Calculator MatrixBTC - DCA vs. HODL Calculator Matrix | RM Overview The BTC - DCA vs. HODL Calculator Matrix is a high-performance telemetry laboratory designed to settle the ultimate debate in Bitcoin accumulation: Is it more efficient to deploy all capital at once ( Lump Sum & HODL ) or utilize a recurring purchase strategy ( DCA )? More importantly, if DCA is the choice, which exact frequency and weekday provides the mathematical edge? The Calculator Matrix was engineered to solve a critical limitation in the current script ecosystem (at least I couldnt find such an indicator): the inability to compare multiple DCA frequencies and specific calendar days simultaneously within a single dashboard. While developing this tool, I found that existing calculators typically only permit testing one strategy at a time (e.g., a generic "Weekly" buy). This script fills that gap by utilizing a high-performance array-based "Telemetry Engine" to rank dozens of variables—including every individual weekday and specific monthly dates—against a HODL benchmark in real-time. This unique simultaneous comparison allows investors to mathematically identify "Weekday Alpha" across any user-defined timeframe. Core Philosophy The script utilizes a Normalized Capital Model . To ensure a true "apples-to-apples" comparison, your total capital (e.g., $10,000) is distributed with mathematical precision across the exact number of entries for each specific strategy. This eliminates the ROI skewing commonly found in basic scripts, ensuring that every strategy is judged on the same total dollar expenditure over the same "Race Track." Key Features & Analytics • The Podium System: An automated ranking algorithm that awards 🥇 Gold, 🥈 Silver, and 🥉 Bronze medals to the top three performing strategies. Spoiler: Regular Winner: 1-time HODL (Lump Sum) • Simultaneous Strategy Testing: Compare Daily, 7 different Weekly days (Mon-Sun), and Monthly dates (1st–28th) all at once. • Risk Telemetry: Integrated Max Drawdown (MDD) sensors for every strategy, revealing the "Emotional Cost" of your accumulation path. • Race Track Visuals: Blue dashed "Green Flag" and "Checkered Flag" lines visually define the boundaries of your backtest. • Dashboard Customization: Use the "Odd/Even" filter to keep the matrix sleek and readable on (nearly) any screen resolution. The Strategies Tested • 1-TIME HODL: The benchmark (Lump sum entry on Day 1 - meaning all the capital is deployed at the start date). • DAILY DCA: High-frequency, day-by-day accumulation (the capital is split amongst the different entries). • WEEKLY (SUN-SAT): Evaluates which specific day of the week historically captures the best entries (e.g., "Weekend Dips").(The capital is split amongst the different entries). • MONTHLY (1-28 + END): Tests monthly date performance to optimize for beginning-of-month or end-of-month cycles. (The capital is split amongst the different entries). Monte Carlo Simulation & Python Research While this tool allows you to manually check any specific timeframe, manual testing is limited by "Start Date Bias." To find the Universal Winner , I have conducted a Monte Carlo Simulation using 100 random entry dates over the last 5 years via Python/Colab. This research reveals the statistical probability of a day (like Saturday) winning the Gold medal across all market conditions. Access the Python Heatmap Research in my substack article (link for substack in Bio). How to Use 1. Set the Race Track: Input Start and End dates in the settings. 2. Fuel the Engine: Set your Total Capital ($). 3. Analyze the Matrix: Compare ROI vs. MAX DD. The goal is not just the highest return, but the best Risk-Adjusted return. Technical Implementation This script utilizes an array-based telemetry engine to handle the simultaneous calculation of 30+ independent investment strategies. To ensure computational efficiency and bypass the limitations of standard security-based backtesting, I implemented a custom-built accumulator logic using array.new_float() and array.set() . The core calculation loop ( if in_race and is_new_day ) processes capital deployment on a per-bar basis, utilizing ta.change(time("D")) to ensure entry synchronization with the Daily UTC close. By decoupling the unit accumulation ( u_weekly , u_monthly ) from the final valuation logic ( f_get_stats ), the script maintains a Normalized Capital Model. This ensures that even with complex comparative logic across varying frequencies, the script provides a mathematically rigorous, reproducible result that matches real-world execution at the Daily UTC Midnight close. Note: All calculations are made on the "close" bar, which means UTC 00:00. By creating a strategy or using the research, make sure to be aware of your time zone Disclaimer: Past performance is not indicative of future results. This tool is for educational and research purposes only. Rob Maths is not liable for any financial losses. Tags: robmaths, Rob Maths, DCA, HODL, Bitcoin, BTC, Backtest, RiskManagement, Investment, Strategy, Statistics
Indicador Pine Script®
por Rob_Maths
Trend Stress Quant [MarkitTick]💡This indicator combines a liquidity-based stress model with a dynamic linear regression channel to identify potential market exhaustion points and assess trend quality. By merging volume impact analysis with statistical deviation, this tool aims to highlight moments where price action may be overextended relative to the underlying liquidity conditions. ● Originality and Utility Standard volatility indicators often rely solely on price range (like Bollinger Bands). This script introduces a Stress Engine that normalizes the relationship between Price Range (True Range) and Volume. This helps distinguish between healthy price movements and liquidity-stress events (illiquidity). Furthermore, instead of using a fixed-length channel, this tool offers a Dynamic Mode that anchors the regression channel to recent pivot points, ensuring the statistical analysis aligns with the current market structure rather than an arbitrary timeframe. ● Methodology The script operates on two distinct mathematical models: • Illiquidity Stress Engine The core formula calculates a raw illiquidity metric based on the log-normal distribution of the ratio between True Range and Volume. A Z-Score (standard score) is then derived from this data over a specific lookback period. High Z-Scores indicate that price is moving disproportionately fast relative to the available volume, often a signature of panic selling or euphoric buying (exhaustion). • Linear Regression Channel The script calculates an Ordinary Least Squares (OLS) regression line (the line of best fit) to determine the mean price trend. Standard Deviation Bands are plotted parallel to this mean. Pearson Correlation Coefficient (R) is calculated to quantify the strength of the linear trend. Values closer to 1 or -1 indicate a strong trend, while values near 0 indicate a chaotic or ranging market. 📑 How to Use Traders can utilize the visual outputs for mean reversion or trend continuation context: • Exhaustion Signals (SE / BE Labels) SE (Seller Exhaustion): Appears when the market is in a downtrend, but the Stress Engine detects a statistical anomaly (High Z-Score) on a down candle. This suggests panic selling may be peaking. BE (Buyer Exhaustion): Appears when the market is in an uptrend, but the Stress Engine detects high stress on an up candle, suggesting a potential blow-off top. • Regression Channel The dashed middle line represents the fair value (mean) of the current trend. The outer bands represent statistical extremes. Price interacting with the outer bands (default 2 Standard Deviations) while coincident with an Exhaustion Signal provides a high-confluence area of interest. • Metrics Dashboard A dashboard displays the current Trend Regime, Exhaustion Status, and Channel Width (volatility percentage). ● Settings • Exhaustion Model Trend Filter Length: Sets the baseline EMA to determine if the market is bullish or bearish. Stress Threshold (Sigma): The Z-Score required to trigger an exhaustion signal (default is 2.0). • Channel Configuration Dynamic Pivot Mode: If enabled, automatically calculates the channel length based on recent pivots. If disabled, uses the Fixed Length. Standard Deviations: Controls the width of the inner and outer channel bands. 📖This guide explains how to interpret and utilize signals for trading: The script is designed primarily for Mean Reversion and Exhaustion trading strategies. ● The Core Strategy: Volatility Exhaustion The script uses a "Stress Engine" to identify when price movement is statistically overextended relative to the available liquidity (Volume). • Setup A: The "Seller Exhaustion" (Bullish Bounce) Look for this setup during a downtrend to catch a temporary bottom or a reversal. Trend Condition: The dashboard shows Bearish (Price is below the trend filter). Trigger: The label SE (Seller Exhaustion) appears below a candle. Why? This indicates that selling pressure was intense but likely panic-driven (High Z-Score/Stress) and may be drying up. Confluence: Ideally, this signal appears when the price is touching or piercing the Lower Channel Band (dotted or solid lines). Action: Traders often use this as a signal to close Short positions or enter a speculative Long (counter-trend) targeting the middle line. • Setup B: The "Buyer Exhaustion" (Bearish Pullback) Look for this setup during an uptrend to catch a local top. Trend Condition: The dashboard shows Bullish . Trigger: The label BE (Buyer Exhaustion) appears above a candle. Why? This indicates euphoric buying on low liquidity or extreme volatility that is statistically unsustainable. Confluence: Look for price rejection at the Upper Channel Band. Action: Traders often use this to close Long positions or enter a Short targeting the mean. ● The Filter: Trend & Correlation The script includes a Linear Regression Channel that quantifies the quality of the trend. • Channel Slope If the channel is angling steeply up or down, the trend is strong. • Pearson R (Correlation) The script calculates the Pearson R coefficient. Weak Correlation: If the channel turns Gray/Neutral (or the fill becomes weak), it means the correlation is below the threshold (default 0.5). Trading Rule: Avoid trading exhaustion signals when the channel is Gray/Neutral, as the market is likely chopping sideways with no clear direction. ● Risk Management & Targets • Stop Loss Since this is a volatility tool, a common technique is to place stops just outside the Outer Deviation Band (the widest line). If price expands beyond the outer band with no exhaustion signal, the trend may be entering a "runaway" phase. • Take Profit Target 1: The Middle Regression Line (The dashed center line). Prices tend to revert to this mean after an exhaustion event. Target 2: The opposite channel band (e.g., if you bought at the bottom, hold until the top). ● Summary of Dashboard Metrics The table on your chart provides a quick snapshot: Trend Regime: Tells you if you should fundamentally look for Shorts (Bearish) or Longs (Bullish). Seller/Buyer Status: Alerts you if the current bar is EXHAUSTED or Normal . Channel Width %: Indicates volatility. If the width is very low (percentage is small), a breakout might be imminent (squeezing). If high, be careful of chop. ⚙️ Indicator settings • Signal Parameters Exhaustion & Stress Model: Controls signal sensitivity. Trend Filter: Decides if the market is Bullish or Bearish. Stress Threshold (Sigma): Higher values (e.g., 2.5) make the script stricter, showing fewer but potentially stronger signals. • Channel Configuration Dynamic Pivot Mode: If ON, the channel length auto-adjusts to recent market pivots. If OFF, it uses the Fixed Length you set. Channel Bands: Adjusts the channel width. Outer Deviation: The boundary for "extreme" moves. Price hitting this often signals a reversal. • Quality Filter Filter Weak Correlations: If enabled, the channel turns gray during choppy/sideways markets to warn you not to trust trend signals. • Visuals Display Options: Toggles the "Stats" dashboard and adjusts volatility coloring. ● Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Indicador Pine Script®
por MarkitTick
2
Smart Gap Concepts [MarkitTick]💡 This indicator automates the identification and classification of price gaps, commonly known as Fair Value Gaps (FVG) or Imbalances, by integrating market structure and volume analysis. Unlike standard gap detectors that simply highlight empty space on a chart, this script applies algorithmic filters to categorize gaps into three distinct phases of market movement: Breakaway, Runaway, and Exhaustion. This helps traders understand the potential context of a move rather than just seeing a support or resistance zone. ● Originality and Utility The primary innovation of this tool is its dynamic classification system. It moves beyond visual detection by checking the "why" behind the gap. By referencing Swing Highs and Swing Lows (Market Structure) alongside Volume efficiency, it determines if a gap represents a breakout, a trend continuation, or a climatic end to a move. Additionally, the script features an automated mitigation tracking system that removes gaps from the chart once price has re-tested the midpoint, ensuring the visual workspace remains clean and relevant to current price action. ● Methodology The script operates on a multi-stage logic engine: • Gap Detection It first identifies the core imbalance where the Low of the current bar does not overlap with the High of the bar two periods prior (for bullish gaps), ensuring the intervening candle represents a strong displacement. • Structural Analysis (Breakaway Gaps) The script monitors Pivot Highs and Lows. If a gap occurs simultaneously with a close beyond a key structural Pivot, it is classified as a "Breakaway Gap." This signals the potential start of a new trend. • Volume and Time Analysis (Exhaustion Gaps) To identify potential reversals, the script looks for "Trend Maturity." If a gap forms after a long duration since the last pivot and is accompanied by a volume spike (defined by the Volume Spike Multiplier), it is labeled as an "Exhaustion Gap." • Continuation (Runaway Gaps) If a gap is valid but meets neither the Breakaway nor Exhaustion criteria, it is considered a "Runaway Gap," typically found in the middle of an established trend. • Dynamic Cleanup The script tracks the midpoint of every active gap. If price creates a lower low (for bullish gaps) or higher high (for bearish gaps) beyond this midpoint, the gap is considered mitigated and is removed from the screen. 📖 How to Use Traders can utilize the color-coded classifications to gauge market intent: Breakaway (Default Blue): Watch these zones for potential trend initiations. These are often high-probability areas for a retest entry after a structure break. Runaway (Default Orange): These indicate strong momentum. They can be used to trail stop-losses or add to winning positions, as price should ideally not close below these gaps in a healthy trend. Exhaustion (Default Red): Be cautious when these appear. They suggest the current move is overextended and a reversal or complex pullback may be imminent. • Exhaustion Gap : A Practical Case Study • Breakaway Gap: A Practical Case Study • Runaway Gap : A Practical Case Study ⚙️ Inputs and Settings Min Gap Size (Points): Filters out insignificant gaps smaller than this threshold. Structure Lookback: Defines the sensitivity of the Pivot detection (Swing High/Low). Volume Avg Length & Multiplier: Determines what qualifies as a "Volume Spike" for exhaustion logic. Trend Maturity: The minimum number of bars required to consider a trend "old" enough for an exhaustion signal. Visual Settings: Custom colors for each gap type and box extension length. ● Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Indicador Pine Script®
por MarkitTick
8
Auto-Anchored Fibonacci Volume Profile [Custom Array Engine]Description: 1. The Theoretical Foundation: Structure vs. Participation In professional technical analysis, traders often struggle to reconcile two distinct datasets: Price Geometry (where price should go) and Market Participation (where money actually went). Why Fibonacci? (The Structure) Fibonacci Retracements map the mathematical structure of a trend. They identify psychological and algorithmic "interest zones" (0.382, 0.5, 0.618) where a correction is statistically likely to terminate. However, Fibonacci levels are theoretical—they are "lines in the sand" that do not guarantee liquidity or reaction. Why Volume Profile? (The Verification) Volume Profile maps the historical exchange of shares at specific price levels. It reveals "fair value" (High Volume Nodes) and "market imbalance" (Low Volume Nodes). It is the only tool that verifies if a specific price level was actually accepted by institutional participants. 2. Underlying Calculations (The Custom Engine) This script operates on a custom-built calculation engine that bypasses standard built-in functions entirely. It uses Pine Script Arrays to build a Volume Profile from scratch. Here is the breakdown of the proprietary code logic: A. The "Smart-Fill" Distribution Algorithm (Solves Gapping) The Problem: Standard volume scripts often assign a candle's entire volume to a single price row. In volatile markets or steep trends, this creates visual "gaps" or a "barcode" effect because price moved too fast to register on every row. My Solution: I wrote a custom loop that calculates the vertical overlap of every candle against the profile grid. The Math: Volume Per Bin = Total Candle Volume / Bins Touched. The Result: If a single volatile candle spans 10 price rows (bins), the script mathematically divides that volume and distributes it equally into all 10 array indices. This generates a solid, continuous distribution curve that accurately reflects price action through the entire candle range, not just the close. B. Dynamic Arrays & Split-Volume Logic The script initializes two separate floating-point arrays (buyVolArray and sellVolArray) sized to the user's resolution (up to 300 rows). It iterates through the specific time-window of the swing: If Close >= Open, the calculated volume slice is injected into the Buy Array. If Close < Open, it is injected into the Sell Array. These arrays are then visually stacked to render the dual-color profile, allowing traders to see the "Delta" (Buyer vs. Seller aggression) at key structural levels. C. Custom Garbage Collection (Performance) To enable the "Auto-Anchoring" feature without causing chart lag or visual artifacts ("ghosting"), the script includes a Garbage Collection System. Before drawing a new profile, the script iterates through a tracking array of all existing objects (box.delete, line.delete) and clears them from memory. This ensures the indicator remains lightweight and responsive even when dragging chart margins or switching timeframes. 3. The Synthesis: Why Combine Them? The core philosophy of this script is Confluence . A Fibonacci level without volume is merely a suggestion; a Fibonacci level backed by volume is a defensive wall. By algorithmically anchoring a Volume Profile to the exact coordinates of a Fibonacci swing, this tool allows traders to instantly answer critical questions: "Is the Golden Pocket (0.618) supported by a High Volume Node (HVN), or is it a Low Volume Node (LVN) that price might slice through?" "Is the Shallow Retracement (0.382) holding because of structural support, or just a lack of selling pressure?" 4. How to Read the Indicator The Geometry: The script automatically detects the trend and draws standard Fib levels (0, 0.236, 0.382, 0.5, 0.618, 0.786, 1.0). The Confluence Check: Look for the Point of Control (Red Line). If this High Volume Node aligns with a key Fib level (e.g., the 0.618), the probability of a reversal increases significantly. The Imbalance Check: Look for "Valleys" in the profile (Low Volume Nodes). These gaps often act as "slippage zones" where price travels quickly between structural levels. Buy/Sell Splits: The dual-color bars (Teal/Red) reveal the composition of the volume. A 0.618 level held up by dominant Buy Volume is a stronger bullish signal than one with mixed volume. 5. Settings & Customization Lookback Length: Sensitivity of the swing detection (Default: 200 bars). Resolution: Granularity of the profile rows (Default: 100). Higher values provide smoother definition. Width (%): Responsive sizing that scales the profile relative to the trend's duration. Extend Lines: Option to project structural levels infinitely to the right. Disclaimer This script is an analytical tool for visualizing historical market data. It does not provide trade signals or financial advice.
Indicador Pine Script®
por KIRI7077
4
MP SESSIONS, DST, OTTMP SESSIONS, DST, OTT – What this indicator does This script is a multi-session market timing tool that: Draws full trading sessions on the chart (Asia, Sydney, Tokyo, Shanghai, Europe, London, New York, NYSE) Automatically adjusts for Daylight Saving Time (DST) for Sydney, London, and New York Shows a live info table with session times, DST status, and whether each session is currently open or closed Adds optional custom “OTT” vertical lines at user-defined intraday times (for your own models, killzones, or time blocks) Main Features (high level) 1. Market mode & time zone handling Market Mode: Forex Stock User Custom (you type your own session ranges) TFlab suggestion (predefined “optimized” session times) Time Zone Mode: UTC Session Local Time (local exchange time: Sydney, Tokyo, London, New York etc.) Your Time Zone (converts to the user-selected TZ, e.g. UTC-4:00) Handles separate time zones for: Asia, Sydney, Tokyo, Shanghai, Europe, London, New York, NYSE Has logic to recalculate session start/end depending on DST and the chosen mode. 2. Daylight Saving Time (DST) engine The function DST_Detector: Calculates when DST starts and ends for: Australia/Sydney Europe/London America/New_York Detects the correct Sunday (2nd, 4th, etc.) for start/end using day-of-week and week counts. Returns 'Active' or 'Inactive' for each region. These values are then used to shift the sessions (e.g. New York 13:00–21:00 vs 12:00–20:00 in UTC). The script can also draw vertical lines on the chart when DST starts/ends and label them: “Sydney DST Started / Ended” “London DST Started / Ended” “New York DST Started / Ended” 3. Session timing & sessions on the chart The function Market_TimeZone_Calculator: Based on Market Mode + Time Zone Mode + DST state, it returns: Time ranges for: Sydney, Tokyo, Shanghai, Asia (combined), Europe, London, New York, NYSE These ranges are in "HHMM-HHMM" format. Then the script: Converts these to time() conditions using the proper time zone Creates boolean series like On_sesAsia, On_sesEurope, On_sesNewYork, etc., which are 1 when the session is open and 0 when closed. 4. Session high/low boxes & labels The function LowHighSessionDetector: Tracks high and low of each session while it’s active. When a new session starts: Resets and starts recording the session high/low. While session is active: Updates High with the max of current bar high and previous session high. Updates Low with the min of current bar low and previous session low. When the session is "on": Draws a box from session low to high (box.new) and extends it to the right as long as the session continues. Places a label with session name (Asia, London, New York, etc.) near the high: Style depends on the session (down/right/left). You have visibility toggles per session: Asia Session, Sydney Session, Tokyo Session, Shanghai Session, Europe Session, London Session, New York Session, NYSE (for TFlab mode). So you visually see: A shaded box for each session The full H/L range for that session A text label with the session name. 5. Info table The indicator builds a table in a corner of the chart showing: Header: “FOREX Session”, “Stock Market Trading Hours”, “User Custom Session”, or “TFlab suggestion” depending on mode. Columns: Session name (Asia, Sydney, Tokyo, Shanghai, Europe, London, New York, NYSE) DST status for that region (“Active 🌞 / Inactive 🍂 / Not Observed”) Session start time Session end time Current status (“Open / Closed”, with green/red background) The function SplitFunction: Parses the "HHMM-HHMM" strings for each session. Converts them into: Either raw times (if viewing in UTC/session local) Or converted times in Your Time Zone using timestamp and hour/ minute with YourTZ. Returns formatted Start and End strings like 9:30, 13:00, etc. So the table is effectively a live session schedule that: Auto-adjusts to DST Can show times in your own time zone Shows which session is open right now. 6. OTT vertical lines (custom intraday markers) At the bottom, there is an OTT section which lets you draw up to three sets of vertical lines at specific times: Each OTT block has: Enable toggle (Enable OTT 1/2/3) Start hour & minute End hour & minute Color Global OTT settings: Line style: Solid / Dashed / Dotted Line width Toggle: “Show OTT Labels?” Logic: is_ott_time() checks if current bar’s hour and minute match the OTT input time. draw_ott(): When the bar time matches, draws a vertical line through the candle from low to high (extend.both). Optionally adds a label above the bar, like "OTT1 Start", "OTT1 End", etc. Use cases: Marking open/close of your trading session Defining killzones, news times, or custom model windows Visual anchors for your intraday routine (NY open, 10 AM candle, etc.)
Indicador Pine Script®
por markoparkhomenko