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Volume Profile Skew [BackQuant]Volume Profile Skew Overview Volume Profile Skew is a market-structure indicator that answers a specific question most volume profiles do not: “Is volume concentrating toward lower prices (accumulation) or higher prices (distribution) inside the current profile range?” A standard volume profile shows where volume traded, but it does not quantify the shape of that distribution in a single number. This script builds a volume profile over a rolling lookback window, extracts the key profile levels (POC, VAH, VAL, and a volume-weighted mean), then computes the skewness of the volume distribution across price bins. That skewness becomes an oscillator, smoothed into a regime signal and paired with visual profile plotting, key level lines, and historical POC tracking. This gives you two layers at once: A full profile and its important levels (where volume is). A skew metric (how volume is leaning within that range). What this indicator is based on The foundation comes from classical “volume at price” concepts used in Market Profile and Volume Profile analysis: POC (Point of Control): the price level with the highest traded volume. Value Area (VAH/VAL): the zone containing the bulk of activity, commonly 70% of total volume. Volume-weighted mean (VWMP in this script): the average price weighted by volume, a “center of mass” for traded activity. Where this indicator extends the idea is by treating the volume profile as a statistical distribution across price. Once you treat “volume by price bin” as a probability distribution (weights sum to 1), you can compute distribution moments: Mean: where the mass is centered. Standard deviation: how spread-out it is. Skewness: whether the distribution has a heavier tail toward higher or lower prices. This is not a gimmick. Skewness is a standard statistic in probability theory. Here it is applied to “volume concentration across price”, not to returns. Core concept: what “skew” means in a volume profile Imagine a profile range from Low to High, split into bins. Each bin has some volume. You can get these shapes: Balanced profile: volume is fairly symmetric around the mean, skew near 0. Bottom-heavy profile: more volume at lower prices, with a tail toward higher prices, skew tends to be positive. Top-heavy profile: more volume at higher prices, with a tail toward lower prices, skew tends to be negative. In this script: Positive skew is labeled as ACCUMULATION. Negative skew is labeled as DISTRIBUTION. Near-zero skew is NEUTRAL. Important: accumulation here does not mean “buying will immediately pump price.” It means the profile shape suggests more participation at lower prices inside the current lookback range. Distribution means participation is heavier at higher prices. How the volume profile is built 1) Define the analysis window The profile is computed on a rolling window: Lookback Period: number of bars included (capped by available history). Profile Resolution (bins): number of price bins used to discretize the high-low range. The script finds the highest high and lowest low in the lookback window to define the price range: rangeHigh = highest high in window rangeLow = lowest low in window binSize = (rangeHigh - rangeLow) / bins 2) Create bin midpoints Each bin gets a midpoint “price” used for calculations: price = rangeLow + binSize * (b + 0.5) These midpoints are what the mean, variance, and skewness are computed on. 3) Distribute each candle’s volume into bins This is a key implementation detail. Real volume profiles require tick-level data, but Pine does not provide that. So the script approximates volume-at-price using candle ranges: For each bar in the lookback: Determine which bins its low-to-high range touches. Split that candle’s total volume evenly across the touched bins. So if a candle spans 6 bins, each bin gets volume/6 from that bar. This is a practical, consistent approximation for “where trading could have occurred” inside the bar. This approach has tradeoffs: It does not know where within the candle the volume truly traded. It assumes uniform distribution across the candle range. It becomes more meaningful with larger samples (bigger lookback) and/or higher timeframes. But it is still useful because the purpose here is the shape of the distribution across the whole window, not exact microstructure. Key profile levels: POC, VAH, VAL, VWMP POC (Point of Control) POC is found by scanning bins and selecting the bin with maximum volume. The script stores: pocIndex: which bin has max volume poc price: midpoint price of that bin Value Area (VAH/VAL) using 70% volume The script builds the value area around the POC outward until it captures 70% of total volume: Start with the POC bin. Expand one bin at a time to the side with more volume. Stop when accumulated volume >= 70% of total profile volume. Then: VAL = rangeLow + binSize * lowerIdx VAH = rangeLow + binSize * (upperIdx + 1) This produces a classic “where most business happened” zone. VWMP (Volume-Weighted Mean Price) This is essentially the center of mass of the profile: VWMP = sum(price * volume ) / totalVolume It is similar in spirit to VWAP, but it is computed over the profile bins, not from bar-by-bar typical price. Skewness calculation: turning the profile into an oscillator This is the main feature. 1) Treat volumes as weights For each bin: weight = volume / totalVolume Now weights sum to 1. 2) Compute weighted mean Mean price: mean = sum(weight * price ) 3) Compute weighted variance and std deviation Variance: variance = sum(weight * (price - mean)^2) stdDev = sqrt(variance) 4) Compute weighted third central moment Third moment: m3 = sum(weight * (price - mean)^3) 5) Standardize to skewness Skewness: rawSkew = m3 / (stdDev^3) This standardization matters. Without it, the value would explode or shrink based on profile scale. Standardized skewness is dimensionless and comparable. Smoothing and regime rules Raw skewness can be jumpy because: profile bins change as rangeHigh/rangeLow shift, one high-volume candle can reshape the distribution, volume regimes change quickly in crypto. So the indicator applies EMA smoothing: smoothedSkew = EMA(rawSkew, smooth) Then it classifies regime using fixed thresholds: Bullish (ACCUMULATION): smoothedSkew > +0.25 Bearish (DISTRIBUTION): smoothedSkew < -0.25 Neutral: between those values Signals are generated on threshold cross events: Bull signal when smoothedSkew crosses above +0.25 Bear signal when smoothedSkew crosses below -0.25 This makes the skew act like a regime oscillator rather than a constantly flipping color. Volume Profile plotting modes The script draws the profile on the last bar, using boxes for each bin, anchored to the right with a configurable offset. The width of each profile bar is normalized by max bin volume: volRatio = binVol / maxVol barWidth = volRatio * width Three style modes exist: 1) Gradient Uses a “jet-like” gradient based on volRatio (blue → red). Higher-volume bins stand out naturally. Transparency increases as volume decreases, so low-volume bins fade. 2) Solid Uses the current regime color (bull/bear/neutral) for all bins, with transparency. This makes the profile read as “structure + regime.” 3) Skew Highlight Highlights bins that match the skew bias: If skew bullish, emphasize lower portion of profile. If skew bearish, emphasize higher portion of profile. Else, keep most bins neutral. This is a visual “where the skew is coming from” mode. Historical POC tracking and Naked POCs This script also treats POCs as meaningful levels over time, similar to how traders track old VA levels. What is a “naked POC”? A “naked POC” is a previously formed POC that has not been revisited (retested) by price since it was recorded. Many traders watch these as potential reaction zones because they represent prior “maximum traded interest” that the market has not re-engaged with. How this script records POCs It stores a new historical POC when: At least updatebars have passed since the last stored POC, and The POC has changed by at least pochangethres (%) from the last stored value. New stored POCs are flagged as naked by default. How naked becomes tested On each update, the script checks whether price has entered a small zone around a naked POC: zoneSize = POC * 0.002 (about 0.2%) If bar range overlaps that zone, mark it as tested (not naked). Display controls: Highlight Naked POCs: draws and labels untested POCs. Show Tested POCs: optionally draw tested ones in a muted color. To avoid clutter, the script limits stored POCs to the most recent 20 and avoids drawing ones too close to the current POC. On-chart key levels and what they mean When enabled, the script draws the current lookback profile levels on the price chart: POC (solid): the “most traded” price. VAH/VAL (dashed): boundaries of the 70% value area. VWMP (dotted): volume-weighted mean of the profile distribution. Interpretation framework (practical, not mystical): POC often behaves like a magnet in balanced conditions. VAH/VAL define the “accepted” area, breaks can signal auction continuation. VWMP is a fair-value reference, useful as a mean anchor when skew is neutralizing. Oscillator panel and histogram The skew oscillator is plotted in a separate pane: Line: smoothedSkew, colored by regime. Histogram: smoothedSkew as bars, colored by sign. Fill: subtle shading above/below 0 to reinforce bias. This makes it easy to read: Direction of bias (positive vs negative). Strength (distance from 0 and from thresholds). Transitions (crosses of ±0.25). Info table: what it summarizes On the last bar, a table prints key diagnostics: Current skew value (smoothed). Regime label (ACCUMULATION / DISTRIBUTION / NEUTRAL). Current POC, VAH, VAL, VWMP. Count of naked POCs still active. A simple “volume location” hint (lower/higher/balanced). This is designed for quick scanning without reading the entire profile. Alerts The indicator includes alerts for: Skew regime shifts (cross above +0.25, cross below -0.25). Price crossing above/below current POC. Approaching a naked POC (within 1% of any active naked POC). The “approaching naked POC” alert is useful as a heads-up that price is entering a historically important volume magnet/reaction zone. How to use it properly 1) Regime filter Use skew regime to decide what type of trades you should prioritize: ACCUMULATION (positive skew): market activity is heavier at lower prices, pullbacks into value or below VWMP often matter more. DISTRIBUTION (negative skew): activity is heavier at higher prices, rallies into value or above VWMP often matter more. NEUTRAL: mean-reversion and POC magnet behavior tends to dominate. This is not “buy when green.” It is context for what the auction is doing. 2) Level-based execution Combine skew with VA/POC levels: In neutral regimes, expect rotations around POC and inside VA. In strong skew regimes, watch for acceptance away from POC and reactions at VA edges. 3) Naked POCs as targets and reaction zones Naked POCs can act like unfinished business. Common workflows: As targets in rotations. As areas to reduce risk when price is approaching. As “if it breaks cleanly, trend continuation” markers when price returns with force. Parameter tuning guidance Lookback Controls how “local” the profile is. Shorter: reacts faster, more sensitive to recent moves. Longer: more stable, better for swing context. Bins Controls resolution of the profile. Higher bins: more detail, more computation, more sensitive profile shape. Lower bins: smoother, less detail, more stable skew. Smoothing Controls how noisy the skew oscillator is. Higher smoothing: fewer regime flips, slower response. Lower smoothing: more responsive, more false transitions. POC tracking settings Update interval and threshold decide how many historical POCs you store and how different they must be. If you set them too loose, you will spam levels. If too strict, you will miss meaningful shifts. Limitations and what not to assume This indicator uses candle-range volume distribution because Pine cannot see tick-level volume-at-price. That means: The profile is an approximation of where volume could have traded, not exact tape data. Skew is best treated as a structural bias, not a precise signal generator. Extreme single-bar events can distort the distribution briefly, smoothing helps but cannot remove reality. Summary Volume Profile Skew takes standard volume profile structure (POC, Value Area, volume-weighted mean) and adds a statistically grounded measure of profile shape using skewness. The result is a regime oscillator that quantifies whether volume concentration is leaning toward lower prices (accumulation) or higher prices (distribution), while also plotting the full profile, key levels, and historical naked POCs for actionable context.
Indicador Pine Script®
por BackQuant
2
Hedge Fund Session Ranges [GMT+2] - Multi-Timezone TrackingOverview This professional-grade tool is designed for institutional-style trading, specifically focusing on the Liquidity Cycles of the global markets. It allows traders to visualize key trading windows (Asia, Europe, and US) with precision, using a fixed GMT+2 offset—ideal for traders aligned with Middle Eastern or Eastern European timezones. Key Features Triple Session Tracking: Includes pre-defined windows for Asia, London Morning, and NY Afternoon. Dynamic Box Scaling: Automatically calculates and visualizes the High/Low range of each session in real-time. GMT+2 Optimization: Built-in timezone handling to ensure your charts align perfectly with local bank hours. Clean Visuals: Minimalist design to avoid chart clutter, allowing for clear price action analysis. Why Trade Sessions? Institutional volume isn't distributed evenly throughout the day. By identifying the Asian Range (01:00-06:00), the London Open (10:00-12:00), and the NY Reversal/Trend (16:30-18:30), traders can identify "Liquidity Grabs" and "Expansion Phases" more effectively.
Indicador Pine Script®
por netha0141
LDEF SENS Loss Dependent Error Filter Dominance Regime SwitchCAPITALCOM:GOLD LDEF SENS stands for Loss Dependent Error Filter. This indicator is a dominance regime filter with an adaptive switch boundary. It separates the market into two main states. Directional tradeable tape (trend and impulse conditions) Balanced noisy tape (higher fakeout probability) It also provides a dominance direction bias (bull vs bear) and an adaptive boundary you can use as a market switch signal. What you see in the indicator pane (bottom panel) Main line (0 to 100): dominance sensitivity score Line color meaning Green: bullish dominance (L greater than R) Red: bearish dominance (R greater than L) Gray: low strength or mixed tape Purple line: adaptive regime boundary (moving threshold) Violet shading: regime ON (tradeable conditions) Key idea: height equals strength, color equals direction, violet shading equals regime state. How to read the three images Image A - Regime ON in a trending environment Where to look Price panel: left to middle shows a clean up move Indicator panel: directly below the same time window Violet band is present for a sustained stretch Main line stays high and mostly green What it means When the violet band stays ON, the tape is directional enough for trend following setups to have higher quality. This is not an entry signal. It is an environment filter. Image B - Switch boundary and state changes Where to look Indicator panel: focus on the purple adaptive line and the main line crossing relative to it Watch the moment the main line moves above the purple line. In the same region, violet shading turns ON. What it means The purple line is the adaptive regime boundary. Cross above: regime switches toward directional tape (state change confirmation) Cross below: regime fades and chop risk returns Image C - Direction semantics inside a regime Where to look Indicator panel: inside violet shaded regions Main line is green during bullish dominance (L greater than R) Main line is red during bearish dominance (R greater than L) What it means Violet answers: is this a tradeable regime Green or red answers: which side is dominating Together, they provide a filter plus bias framework. Practical usage Regime filter Prefer setups only when the violet band is ON Reduce size or tighten criteria when the violet band is OFF Direction bias Prefer longs when the line is green Prefer shorts when the line is red Treat gray as no edge or mixed tape Switch boundary analysis Cross above purple: treat as regime shift confirmation Cross below purple: treat as regime cooling off and higher chop risk Limitations This is a regime and dominance tool, not a standalone entry generator. Regime confirmation can be late by design, especially after shocks. Use it with structure, liquidity, and risk management.
Indicador Pine Script®
por TheWannaBeQuant
5
Market Structure & Supply-Demand EngineMarket Structure & Supply-Demand Engine (MSD-Engine) is a professional, non-repainting market structure and supply-demand analysis tool built purely on price action and volatility logic. This indicator is designed for discretionary traders who want a clean, institutional-style view of market structure without lagging indicators or strategy automation. 🔍 What This Indicator Does MSD-Engine identifies major structural reversals, plots price-action based supply & demand zones, and provides multi-timeframe confluence in a single, unified framework. It is visual and analytical only — no strategy orders, no backtesting, and no repainting. 🚀 Core Features • Non-Repainting Market Structure Event-based swing reversal detection ATR-adaptive displacement filtering Confirmed pivots only (no future leaks) • Pure Supply & Demand Zones Candle-structure based zone detection Volume-weighted zone strength Automatic invalidation on breach Configurable zone limits to maintain chart clarity • Multi-Timeframe Context (MTF) Chart timeframe structure Two independent higher-timeframe supply & demand layers Higher-timeframe directional bias visualization HTF zones plotted only on confirmed HTF closes • Volatility-Adaptive Logic ATR normalized across timeframes Dynamic reversal thresholds Stable behavior from scalping to swing charts • Trendline Lifecycle Tracking Automatic major trendline construction Single-fire break detection Break validation / failure logic HTF-aligned vs counter-trend classification 🧠 Designed For • Discretionary price-action traders • Supply & demand traders • Market structure & smart-money style analysis • Multi-timeframe confluence trading • Futures, indices, forex, crypto, and equities ⚠️ Important Notes This is NOT a strategy or auto-trading system No buy/sell signals or performance metrics No repainting (uses barmerge.lookahead_off) Educational & analytical use only 📜 Disclaimer This script is provided for educational and analytical purposes only. It does not constitute financial advice. Trading financial markets involves risk.
Indicador Pine Script®
por Market_Logic_India
2
Jurik MA Trend Breakouts [BigBeluga]🔵 OVERVIEW Jurik MA Trend Breakouts is a precision trend-breakout detector built on a custom Jurik-smoothed moving average. It identifies trend direction with ultra-low lag and maps breakout levels using pivot-based swing highs/lows. The indicator plots dynamic breakout lines and confirms trend continuation or reversal when price breaks them — providing clean, minimalistic yet extremely accurate trend signals. 🔵 CONCEPTS Jurik Moving Average (JMA) — A highly smooth and low-lag moving average that reacts quickly to trend shifts without noise. This becomes the core trend baseline. Trend Bias — • JMA rising → bullish trend • JMA falling → bearish trend The JMA color updates instantly based on slope. Swing Pivots — Recent pivot highs/lows are detected to define structural break levels while filtering out weak noise. Trend Breakout Levels — The indicator draws horizontal levels at the last valid pivot in the direction of the trend. These levels act as “confirmation gates” for breakout entries. ATR Validity Filter — Ensures only meaningful pivots within a threshold are used to prevent fake breakouts. 🔵 FEATURES Ultra-Smooth Jurik Trend Line — A visually clean trend baseline changing color based on direction. Automatic Swing High Breakout Setup (Bullish) — • During an uptrend, the indicator tracks the most recent pivot high. • A horizontal breakout line is extended across the chart. • A ✔ marker appears at both pivot points when the breakout structure becomes valid. Automatic Swing Low Breakout Setup (Bearish) — • During a downtrend, pivot lows are tracked. • A horizontal breakout line marks the breakdown level. • ✔ markers confirm valid structure before the breakout triggers. Breakout Detection — • Price closing above the bullish breakout line → “↑” signal printed on the chart. • Price closing below the bearish breakout line → “↓” signal printed on the chart. Automatic Reset on Trend Change — When the JMA trend flips, all breakout structures are cleared and the model starts tracking new pivot levels. Trend-Colored Visualization — Glow + main JMA line give instant clarity of market direction. 🔵 HOW IT WORKS 1. JurikMA defines the main trend — Slope determines bullish or bearish state. 2. The indicator continuously searches for pivots in the direction of the trend. 3. When a valid pivot forms and passes ATR proximity filter, a structural breakout level is drawn. 4. As long as price stays below that level (bullish case), the trend setup remains active. 5. When price finally breaks the level , the indicator prints a directional arrow (↑ or ↓). 6. Trend flip instantly resets all levels and begins tracking pivots on the opposite side. 🔵 HOW TO USE Breakout Trading — Enter long on “↑” and short on “↓” signals when price breaks key pivot structure. Trend Confirmation — Use the JurikMA color to stay aligned with the main trend direction. Reversals — Trend flips often mark major turning points. Structure Mapping — Use the horizontal breakout lines to understand how close price is to confirming a new trend leg. 🔵 CONCLUSION Jurik MA Trend Breakouts combines the speed of a Jurik MA with structural breakout logic to deliver clean, reliable entry signals. Its minimal design, pivot-based confirmation, and trend-aligned logic make it suitable for scalping, swing trading, and intraday trend continuation setups. If you want fast yet filtered breakout recognition with almost zero noise, this tool gives you everything you need.
Indicador Pine Script®
por BigBeluga
21
Iron Fly 0DTE StrategyOverview This indicator identifies optimal entry and exit points for 0DTE (zero days to expiration) Iron Fly options strategies on SPX. It uses a combination of DMI (Directional Movement Index) regime classification and ATR (Average True Range) volatility measurement to determine when market conditions favor non-directional premium selling. An Iron Fly is a neutral options strategy that profits when price stays near a central strike. This indicator automates the decision of WHEN to enter and at WHAT strikes, based on quantifiable market conditions rather than discretionary judgment. How It Works Market Regime Classification The core logic uses DMI and ADX to classify market conditions into four regimes: SAFE - ADX below 25 AND DI Spread below 20: Low directional momentum, ideal for Iron Flies CAUTION - ADX below 35 AND DI Spread below 30: Moderate conditions, wider wings recommended WARNING - ADX below 45 OR DI Spread below 45: Elevated risk, no new entries NO ENTRY - ADX above 45 AND DI Spread above 45: Strong trend, avoid premium selling The DI Spread is calculated as the absolute difference between DI+ and DI-. A low spread indicates balanced buying and selling pressure, which favors range-bound price action. Dynamic Wing Width Calculation Wing width (the distance between the short strikes and protective long strikes) is calculated dynamically using: Wing Width = ATR(14) × Multiplier × Late Session Factor The multiplier varies by Entry Aggressiveness setting (5x to 7x ATR). Wings are widened by 20% in CAUTION regime for additional protection. Late in the session (after 50% elapsed), wings narrow by up to 20% as less time remains for adverse moves. Wing width is bounded between 15 and 50 points and rounded to the nearest 5-point strike. Entry Logic New positions open when: Market regime is SAFE or CAUTION Current open positions are below the maximum limit Daily trade count is below the daily limit Price has moved sufficiently from the last entry (trigger distance) No existing position at the calculated strike Exit Logic Positions close when price exceeds a dynamic exit threshold: Exit Threshold = Wing Width × (Base Exit Percent + Time Decay Bonus) The Base Exit Percent varies by Exit Aggressiveness (50% to 80%). The Time Decay Bonus increases throughout the session (0% to 25%), allowing wider tolerance as theta decay works in your favor. What Makes This Original This indicator differs from simple moving average or RSI-based approaches by: Using DMI spread (not just ADX) to measure directional balance, which better identifies consolidation Dynamically sizing wings based on current ATR rather than fixed widths Adjusting exit tolerance based on session progress to account for theta decay Implementing regime-based position management that automatically steps aside during trending conditions Providing complete strike calculations for the 4-leg Iron Fly structure Settings Guide Strategy Settings Entry Aggressiveness - Controls how often new trades open. LOW: fewer trades, wider wings, more selective. MID: balanced. HIGH: more trades, tighter wings. Exit Aggressiveness - Controls how long positions are held. LOW: exits early at 50% of wing. MID: exits at 65% plus time bonus. HIGH: holds longer, exits at 80%. Max Concurrent Flies - Maximum simultaneous open positions (1-5). Start with 1-2. Max Trades Per Day - Daily limit to prevent overtrading (3-30). Session Settings Session Start/End - Trading hours in Eastern Time. Default 10:00-16:00. How to Use Add indicator to SPX chart (1-5 minute timeframe recommended) Create alert with condition "Any alert() function call" When OPEN alert fires, execute the 4-leg Iron Fly in your broker at the specified strikes When CLOSE alert fires, close the position Always verify the premium collected justifies the risk before entering Alert Messages OPEN alerts provide: Strike price, wing width, and all four leg strikes (short call, short put, long call, long put). CLOSE alerts provide: Strike price and exit reason (price exceeded threshold or session ended). Status Panel The on-chart panel displays: Positions - Current open count vs maximum Market - Current regime classification Wings - Current calculated wing width Exit @ - Current exit threshold distance Trades - Daily trade count vs limit Limitations Designed specifically for SPX 0DTE options; may not suit other underlyings Does not account for bid-ask spreads or execution slippage Market regime classification may lag during rapid regime changes Past performance of signals does not guarantee future results Requires manual execution in your options broker Best Conditions This strategy performs best during: Range-bound, choppy market conditions Normal volatility days (avoid major news events) Regular trading hours (10 AM - 4 PM ET) Avoid using during: Strong trending days FOMC announcements, CPI releases, earnings Pre-market or after-hours Disclaimer This indicator is for educational and informational purposes only. It does not constitute financial advice. Options trading involves substantial risk of loss Iron Flies can result in losses up to the wing width minus premium collected Past indicator signals do not guarantee future performance Always understand your maximum risk before entering any trade Never risk more than you can afford to lose Conduct your own research and consider consulting a financial advisor
Indicador Pine Script®
por luiscaballero
MIZAN: Fake Out / Inducement HunterDescription STOP GETTING TRAPPED BY THE MARKET! Are you tired of getting stopped out right before the market moves in your direction? This is called a Fake Out or Liquidity Sweep. The "MIZAN Fake Out Hunter" is designed to detect these manipulation patterns automatically using Smart Money Concepts (SMC). 💎 How It Works: Identifies Key Levels: The script automatically detects major Swing Highs and Swing Lows (Key Fractals) where liquidity (Stop Loss orders) is resting. Detects Inducement: It monitors price action approaching these levels. When price creates "Equal Highs" or "Equal Lows" near a key level without breaking it, it identifies this as Inducement (a trap for retail traders). Signals the Sweep: The signal fires ONLY when price aggressively breaks the level (sweeping the liquidity) and immediately rejects (closes back inside the range). 🚀 Features: Bullish Fake Out (Green Signal): Detects when sellers are trapped at support (Stop Hunt Low). Bearish Fake Out (Red Signal): Detects when buyers are trapped at resistance (Stop Hunt High). Alerts Included: Never miss a manipulation setup again. 🧠 How to Trade: Use this indicator to confirm entries at Major Support/Resistance or Supply/Demand zones. Wait for the "FAKE OUT" signal to confirm that the Smart Money has finished collecting liquidity before entering the trade.
Indicador Pine Script®
por muratkavak02
Price Levels Wall//@version=6 indicator("Price Levels From File", overlay = true) // === Public parameters === string fileContent = input.text_area("Contenu du fichier", "Collez le contenu de Niveaux.txt ici") color minColor = input.color(color.new(color.green, 0), "Couleur Min", group = "Couleurs") color maxColor = input.color(color.new(color.red, 0), "Couleur Max", group = "Couleurs") color acheteursColor = input.color(color.new(color.lime, 0), "Couleur Acheteurs", group = "Couleurs") color vendeursColor = input.color(color.new(color.orange, 0), "Couleur Vendeurs", group = "Couleurs") color wallUpperColor = input.color(color.new(color.fuchsia, 0), "Couleur Wall Upper", group = "Couleurs") color wallMidColor = input.color(color.new(color.gray, 0), "Couleur Wall Mid", group = "Couleurs") color controlMidColor = input.color(color.new(color.green, 0), "Couleur Control Mid", group = "Couleurs") color wallLowerColor = input.color(color.new(color.aqua, 0), "Couleur Wall Lower", group = "Couleurs") color highlightColor = input.color(color.new(#FFFF00, 88), "Couleur Highlight", group = "Couleurs") int lineWidth = input.int(2, "Épaisseur ligne", group = "Apparence") bool enableMinMinEventHighlight = input.bool(true, "Highlight Min–Min Event", group = "Options") bool enableMaxMaxEventHighlight = input.bool(true, "Highlight Max–Max Event", group = "Options") // === Private fields === var array prices = array.new() var array labels = array.new() var array colors = array.new() var float minOneDayLevel = na var float maxOneDayLevel = na var float minEventLevel = na var float maxEventLevel = na var bool initialized = false // === Helper functions === tryParse(string s) => string s_replaced = str.replace_all(s, ",", ".") float val = str.tonumber(s_replaced) na(val) ? na : val trim(string s) => string res = s while str.length(res) > 0 and (str.substring(res, 0, 1) == " " or str.substring(res, 0, 1) == "\t") res := str.substring(res, 1) while str.length(res) > 0 and (str.substring(res, str.length(res) - 1) == " " or str.substring(res, str.length(res) - 1) == "\t") res := str.substring(res, 0, str.length(res) - 1) res extractValue(string line) => int colonIdx = str.pos(line, ":") if colonIdx == -1 na else string valueStr = str.substring(line, colonIdx + 1) valueStr := trim(valueStr) tryParse(valueStr) // === Parsing === if not initialized and barstate.islast initialized := true array rawLines = str.split(fileContent, " ") for i = 0 to array.size(rawLines) - 1 string raw = array.get(rawLines, i) string line = trim(raw) if line == "" continue string lower = str.lower(line) // Extract levels based on keywords if str.contains(lower, "max event") maxEventLevel := extractValue(line) else if str.contains(lower, "max 1d") maxOneDayLevel := extractValue(line) else if str.contains(lower, "wall upper") float val = extractValue(line) if not na(val) array.push(prices, val) array.push(labels, "Wall Upper") array.push(colors, wallUpperColor) else if str.contains(lower, "buyers ctrl") float val = extractValue(line) if not na(val) array.push(prices, val) array.push(labels, "Buyers Ctrl") array.push(colors, acheteursColor) else if str.contains(lower, "wall mid") float val = extractValue(line) if not na(val) array.push(prices, val) array.push(labels, "Wall Mid") array.push(colors, wallMidColor) else if str.contains(lower, "control mid") float val = extractValue(line) if not na(val) array.push(prices, val) array.push(labels, "Control Mid") array.push(colors, controlMidColor) else if str.contains(lower, "sellers ctrl") float val = extractValue(line) if not na(val) array.push(prices, val) array.push(labels, "Sellers Ctrl") array.push(colors, vendeursColor) else if str.contains(lower, "wall lower") float val = extractValue(line) if not na(val) array.push(prices, val) array.push(labels, "Wall Lower") array.push(colors, wallLowerColor) else if str.contains(lower, "min 1d") minOneDayLevel := extractValue(line) else if str.contains(lower, "min event") minEventLevel := extractValue(line) // Add special levels if not na(maxOneDayLevel) array.push(prices, maxOneDayLevel) array.push(labels, "Max 1D") array.push(colors, maxColor) if not na(maxEventLevel) array.push(prices, maxEventLevel) array.push(labels, "Max Event") array.push(colors, maxColor) if not na(minOneDayLevel) array.push(prices, minOneDayLevel) array.push(labels, "Min 1D") array.push(colors, minColor) if not na(minEventLevel) array.push(prices, minEventLevel) array.push(labels, "Min Event") array.push(colors, minColor) // === Rendering === var box minBand = na var box maxBand = na if barstate.islast and initialized if enableMinMinEventHighlight and not na(minOneDayLevel) and not na(minEventLevel) and na(minBand) float top = math.max(minOneDayLevel, minEventLevel) float bottom = math.min(minOneDayLevel, minEventLevel) minBand := box.new(left = bar_index, top = top, right = bar_index + 1, bottom = bottom, xloc = xloc.bar_index, extend = extend.both, bgcolor = highlightColor, border_width = 0) if enableMaxMaxEventHighlight and not na(maxOneDayLevel) and not na(maxEventLevel) and na(maxBand) float top = math.max(maxOneDayLevel, maxEventLevel) float bottom = math.min(maxOneDayLevel, maxEventLevel) maxBand := box.new(left = bar_index, top = top, right = bar_index + 1, bottom = bottom, xloc = xloc.bar_index, extend = extend.both, bgcolor = highlightColor, border_width = 0) var array hlines = array.new() var array rightLabels = array.new() if barstate.islast and initialized and array.size(hlines) == 0 for i = 0 to array.size(prices) - 1 float p = array.get(prices, i) string lbl = array.get(labels, i) color col = array.get(colors, i) line hl = line.new(bar_index, p, bar_index + 1, p, xloc = xloc.bar_index, extend = extend.both, color = col, width = lineWidth) array.push(hlines, hl) string labelText = lbl + " " + str.tostring(p) label rightLbl = label.new(bar_index + 1, p, labelText, xloc = xloc.bar_index, yloc = yloc.price, style = label.style_label_right, color = na, textcolor = col, size = size.small) array.push(rightLabels, rightLbl) if barstate.islast for i = 0 to array.size(rightLabels) - 1 label.set_x(array.get(rightLabels, i), bar_index + 1)
Indicador Pine Script®
por Artahe
Ker 2021 EMA/SMA這個腳本主要是EMA/SMA的基礎 加上可調動範圍 數字可以調動 但是因為我不是coding人員 所以有些欄位編排不正確 但是使用上沒有什麼問題 如果你有coding的能力 可以聯絡我 幫我補正 謝謝 This script is mainly based on EMA/SMA, with adjustable ranges and parameters. The values can be modified freely. Since I’m not a programmer, some of the field formatting may not be perfectly structured. However, it works fine in actual use. If you have coding experience and would like to help improve or clean up the code, feel free to contact me. Thank you.
Indicador Pine Script®
por Icykerker
Custom 4 EMA [TickDaddy]Custom 4 EMA Hey everyone! I put together this EMA indicator because I wanted more flexibility than what's built into TradingView. Figured I'd share it in case anyone else finds it useful. What it does: Customizable EMA Periods Change all 4 EMAs to whatever periods you want (I default them to 20/50/100/200 but you do you) Not stuck with preset values - make it work for your strategy Toggle EMAs On/Off Each EMA has its own checkbox Super handy when you want to hide one without losing your settings Multi-Timeframe EMAs This is the big one - you can view higher timeframe EMAs on your current chart Like if you're day trading on a 15-min chart but want to see where the daily EMAs are Works with any timeframe: Daily, Weekly, 4-Hour, whatever you need Helps you respect the bigger picture while trading lower timeframes Smooth Lines on Multi-Timeframe Got rid of that annoying zigzag effect when using higher timeframes You can adjust how smooth you want them (or turn it off) Clean Setup All the style stuff (colors, thickness, line style) is in the Style tab where it should be Input settings are organized and not cluttered Built this with Pine Script v6. Hope it helps with your trading!
Indicador Pine Script®
por TickDaddy