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Indicadores y estrategias

Swing Profile [BigBeluga]🔵 OVERVIEW Swing Profile is a dynamic swing-based volume profiling tool that builds a complete volume profile for each completed market swing. Instead of using fixed sessions or time ranges, the indicator anchors its profile strictly between confirmed swing highs and swing lows, allowing traders to analyze where volume accumulated inside each directional leg. The profile updates in real time while a swing is still forming and finalizes once the swing direction flips, giving both historical and live insight into volume behavior. 🔵 CONCEPTS Swing-Anchored Profiling — Volume is calculated only between confirmed swing highs and lows detected by the Swing Length input. Directional Legs — Each bullish or bearish swing leg gets its own independent volume profile. ATR-Adaptive Bins — Profile bin size is automatically scaled using ATR, keeping resolution consistent across volatility regimes. Real-Time Rebuild — While a swing is still active, the profile continuously recalculates and redraws. Finalized Profiles — Once direction flips, the profile is locked and marked as a completed swing. 🔵 FEATURES Swing Volume Profile — Displays horizontal volume distribution for each swing leg. Point of Control (PoC) — Highlights the price level with the highest traded volume inside the swing. Buy / Sell Volume Separation — Tracks bullish (buy) and bearish (sell) volume inside each profile. Delta Volume Calculation — Shows net buying vs selling pressure as a percentage. Profile Outline — A polyline traces the outer shape of the volume distribution. HeatMap Mode — Optional heatmap visualization showing volume intensity by color gradient. ZigZag Swing Connector — Visual connection between swing highs and lows for structure clarity. Custom Label Sizing — Adjust label size (Tiny → Huge) for clean chart scaling. 🔵 HOW TO USE Identify High-Interest Zones — Use the PoC to locate price levels where the market spent the most time during a swing. Trend Strength Analysis — Strong directional swings often show volume skewed toward one side of the profile. Pullback Zones — Profiles help identify areas where price may react during retracements. Continuation vs Reversal — Delta volume reveals whether buying or selling dominated the swing. Live Monitoring — While a swing is forming, watch the real-time profile to anticipate where structure may complete. 🔵 DATA LABELS T — Total traded volume inside the swing. B — Buy volume (bullish candles). S — Sell volume (bearish candles). D — Delta volume (% difference between buy and sell volume). 🔵 CONCLUSION Swing Profile delivers a precise, structure-aware view of volume by anchoring profiles directly to market swings. By combining real-time profiling, PoC detection, delta analysis, and adaptive resolution, it provides deep insight into where participation truly occurred — making it a powerful tool for swing traders, structure traders, and volume-focused strategies.
Indicador Pine Script®
por BigBeluga
2
Pattern Recognition Signals | ProjectSyndicatePattern Recognition Signals automatically identifies and validates high-probability, non-repainting Double Top and Double Bottom patterns. It filters for structural quality, calculates adaptive take-profit and stop-loss zones based on Average Daily Range (ADR), and presents a complete statistical breakdown on a non-intrusive dashboard to provide a quantifiable edge. 🧠 NRP Multi-Wave Detection — identifies classic Double (W/M) and Triple (W/M) patterns using a non-repainting pivot engine, ensuring signals are confirmed and stable. 🎯 ADR-Adaptive TP/SL Zones — automatically calculates and plots TP1, TP2, and SL zones based on a percentage of the 10-day ADR, allowing the strategy to dynamically adapt to any asset's volatility. 🎨 Direction-Matched Colors — Bullish pattern labels are colored green to match the TP zones, and Bearish labels are colored red to match the SL zone, providing instant visual confirmation of trade direction. 📊 Full Performance Dashboard — provides a complete statistical overview, including the real-time ADR10 value, total signals, win rates for TP1/TP2, and a log of the last 10 trade outcomes. ✅ Advanced Quality Control Filters — user-configurable inputs for Max Pattern Bars, Max Pattern Height (% of ADR10), and Min Bars Between Signals eliminate low-quality or excessively large patterns and prevent over-signaling. 🔔 Comprehensive Alerts — get a single, detailed alert per signal—including the symbol, timeframe, entry price, SL, TP1, and TP2—formatted for easy integration with automated trading systems. 🔧 Fully Customizable — control everything from pivot lengths and pattern quality filters to the colors and extension of all zones, labels, and dashboard elements. 🎯 Why this algo is unique: Standard ZigZag and pattern indicators are notorious for repainting and providing subjective signals with no statistical backing. This algorithm provides an objective, fully-gated, non-repainting signal engine. It doesn’t just draw a pattern; it builds a complete, quantifiable trading framework around it with adaptive risk management (ADR-based zones) and a dashboard to prove its historical performance on the chart you are trading. 🚀 Apply to Gold (XAUUSD), Forex, Crypto, and Indices on any M5/M10/M15/M30/H1. The ADR-based system and extensive quality filters allow it to adapt to anything from M5 scalping to H4 swing trading. 🎯 How to use this? Use the dashboard to understand the strategy's recent performance on the current asset/timeframe. Adjust the TP/SL and pattern filter percentages to match your risk tolerance. Consider taking trades that align with the higher-timeframe trend for higher probability setups. ⚠️ IMPORTANT NOTICE: This indicator is designed to identify statistically-backed pattern signals. It should NOT be used as a standalone signal for entering trades. Always use it in conjunction with your own trading strategy, price action analysis, and other technical indicators to confirm trade setups and manage risk.
Indicador Pine Script®
por ProjectSyndicate
2
KNN Machine Learning Momentum IndicatorKNN Machine Learning Momentum Indicator 🌌 Overview This script implements a K-Nearest Neighbors (KNN) machine learning algorithm combined with Dimensionality Reduction to estimate short-term price momentum. 💬 Feedback & Suggestions If you have any questions regarding the logic, or suggestions for new features, please feel free to leave a comment below! Your feedback helps improve the algorithm for everyone. 🧠 Core Methodology The indicator follows a KNN machine learning pipeline: Feature Engineering: It utilizes a multi-faceted feature set including RSI variations, Price-to-MA deviations, and Oscillatory Momentum. Normalization (Z-Score): All features are standardized into Z-scores, ensuring the KNN distance calculation is not biased by different scales of data. Dimensionality Reduction: To reduce noise and the "curse of dimensionality," the script compresses features into three orthogonal Principal Components (Momentum, Mean Reversion, and Dynamics). KNN Engine: The algorithm searches the historical lookback window for the 'K' most similar patterns using the Minkowski Distance metric and applies a Gaussian Kernel to weight the closest neighbors more heavily. 🚀 Strategic Target: Momentum vs. Absolute Price A key distinction of this algorithm is its target objective. Rather than attempting to predict the exact future price (which is often prone to extreme noise), this model focuses on estimating latent market momentum.By analyzing how current feature sets relate to historical momentum shifts, the KNN engine identifies the underlying "energy" of the market. This approach allows traders to capture the probable direction and strength of the next move, providing a more robust edge in dynamic market regimes than unstable price forecasting. 🛡️ Understanding the "Curse of Dimensionality" A common pitfall in KNN-based trading strategies is the Curse of Dimensionality. This Script addresses this by implementing a Dimensionality Reduction layer. By condensing 9 raw technical features into 3 highly descriptive "Principal Components," we maintain a dense feature space. This ensures that the "nearest neighbors" found by the algorithm are truly statistically significant patterns rather than random noise. 🛠️ Key Features Dynamic Probability Engine: Visualizes the confidence of the model through gradient bar coloring. Trend Filter (EMA): Integrated EMA filter to distinguish between "Trend" signals (stronger) and "Counter-Trend" signals (lighter). Minkowski Distance Tuning: Adjust the p parameter to switch between Manhattan (p=1), Euclidean (p=2), or higher-order distance metrics. Visual Analytics: Clean, institutional-grade UI with clear signal shapes and background highlighting. 📈 How to Trade Bull/Bear Signals: Large shapes with labels indicate signals that align with the major EMA trend (High Conviction).Small Shapes: Indicate potential signals that are counter to the major trend (Use with caution/mean reversion). Bar Colors:Bright Cyan/Red: High confidence prediction. Slate Gray: Low confidence / Neutral market regime. ⚠️ Disclaimer Machine learning models are subject to overfitting and market regime shifts. This indicator is intended to be used as a decision-support tool and should be combined with proper risk management and additional technical analysis.Algorithm: K-Nearest Neighbors (KNN)Distance Metric: Minkowski DistancePreprocessing: Z-Score Normalization + Dimensionality Reduction
Indicador Pine Script®
por SatohK
2
Nate - Opening Playbook - Regime DetectorDetermines what kind of market you are in by looking at the amount of touches on key EMAs. This indicator classifies the market into one of three regimes—Bull Trend, Bear Trend, or Range—by looking at how consistently price has been closing above or below key moving averages over a recent window. You choose a lookback period (X candles) and three EMA lengths (Fast/Middle/Slow). For each EMA, the indicator calculates the percentage of the last X candles that closed above it (for Bull) or below it (for Bear). Bull Trend = over the last X candles, price has closed above the Fast, Middle, and Slow EMAs at least as often as your Bull thresholds require. Bear Trend = over the last X candles, price has closed below the Fast, Middle, and Slow EMAs at least as often as your Bear thresholds require. Range = anything that doesn’t meet the Bull or Bear trend requirements.
Indicador Pine Script®
por ProsperityPub
SmartTrend Pro [WillyAlgoTrader]📡 SmartTrend Pro is an overlay indicator built around a custom trend detection algorithm — the Adaptive Volatility Trend Engine (AVTE) — that replaces the standard Supertrend approach with Ehlers Super Smoother filtering and Kaufman adaptive ATR bands. Every trend flip is scored by a multi-factor confluence system (0–100) before becoming a signal. The result is a trend-following tool that adapts to current volatility conditions, filters out low-confidence entries, and provides dynamic TP/SL levels — all with full anti-repaint protection. 🧩 WHY THESE COMPONENTS WORK TOGETHER A traditional Supertrend uses a simple moving average of True Range to calculate bands. This works in steady markets but produces false signals during volatility spikes and misses early reversals during compression. SmartTrend Pro replaces every component of this pipeline with an adaptive alternative, creating a system where each stage feeds the next: Ehlers-filtered price → Kaufman-adaptive ATR → Volatility bands → Trend direction → Confluence scoring → Filtered signal → Risk levels The Ehlers Super Smoother removes high-frequency noise from the price before the trend bands are calculated — this prevents the trend engine from reacting to random wicks. The Kaufman adaptive ATR widens bands when volatility is real (sustained directional movement) and tightens them during choppy, low-efficiency conditions — making the trend change threshold automatically adjust. The confluence scoring system then evaluates each trend flip against five independent market factors before allowing the signal to fire. And the TP/SL system freezes its risk distance at entry (using the ATR at signal time) so targets don't drift as volatility changes post-entry. No single component here is sufficient on its own. An Ehlers filter without adaptive bands still produces false crossovers. Adaptive bands without scoring still trigger on weak trend flips. Scoring without frozen TP/SL creates drifting targets. The integrated pipeline solves all three problems simultaneously. 🔍 WHAT MAKES IT ORIGINAL 1️⃣ Adaptive Volatility Trend Engine (AVTE) — custom trend algorithm. The AVTE replaces the standard Supertrend calculation at every stage: Stage 1 — Price filtering: Instead of using raw price, the AVTE applies an Ehlers 2-pole Super Smoother to the source. The Ehlers filter uses the transfer function: ss = c1 × (src + src ) × 0.5 + c2 × ss + c3 × ss where c1 = 1 − c2 − c3, c2 = 2a × cos(√2 × π / period), c3 = −a², and a = exp(−√2 × π / period). This produces zero-lag frequency-domain filtering — it removes high-frequency noise without the phase distortion that a simple moving average introduces. The filter period is derived from the ATR period (ATR_period / 2, minimum 3). Stage 2 — Adaptive volatility measurement: Instead of a fixed-length ATR, the AVTE uses a Kaufman Adaptive ATR. First, a standard ATR(period) is calculated. Then the Kaufman Efficiency Ratio (ER) is computed: ER = |close − close | / sum(|close − close |, period). The ER measures how much net directional movement exists relative to total path traveled — ranging from 0 (pure chop) to 1 (clean trend). The ER then modulates a smoothing constant: sc = (ER × (fast − slow) + slow)², where fast = 2/3 and slow = 2/31. The adaptive ATR blends: aATR = aATR + sc × (rawATR − aATR ). In trending conditions (high ER), the adaptive ATR reacts quickly to volatility changes. In choppy conditions (low ER), it smooths aggressively, preventing false band expansions. Stage 3 — Band calculation and trend direction: Upper band = filtered_price + sensitivity × adaptive_ATR. Lower band = filtered_price − sensitivity × adaptive_ATR. Bands ratchet in the trend direction: the lower band can only rise (never fall) during uptrends, the upper band can only fall during downtrends. When close crosses above the upper band, trend flips bullish. When close crosses below the lower band, trend flips bearish. The trend line follows the lower band in uptrends, upper band in downtrends (step-line visualization). The Sensitivity parameter (default 2.5) controls how far the bands sit from filtered price. Lower = tighter bands, more signals, faster reaction. Higher = wider bands, fewer signals, smoother. 2️⃣ Multi-confluence scoring system (0–100). Every AVTE trend flip is evaluated against five independent market factors before becoming a signal: Factor 1 — EMA alignment (±15 pts): Checks whether close > EMA(50) > EMA(200) for bullish alignment, or close < EMA(50) < EMA(200) for bearish. Full alignment = +15 (bull) or −15 (bear). No alignment = 0. This confirms the trend flip aligns with the broader trend structure. Factor 2 — RSI position (±10 pts): RSI(14) between 50–70 = +10 (bullish momentum without overextension). RSI 30–50 = −10 (bearish). Extremes (>70 or <30) score 0 — avoiding signals at overbought/oversold levels where reversals are more likely. Factor 3 — MACD histogram direction (±12 pts): MACD(12,26,9) histogram > 0 and rising = +12 (accelerating bullish momentum). Histogram < 0 and falling = −12 (accelerating bearish). This captures momentum acceleration, not just direction. Factor 4 — Volume confirmation (0–8 pts): Volume > 20-period SMA × 1.2 = +8. This confirms institutional participation. Auto-disabled on instruments without volume data (forex). Factor 5 — ADX strength (0–10 pts): ADX(14) > 25 = +10, ADX > 20 = +5. Confirms the market is trending, not ranging. The base score starts at 50. Bullish factors add, bearish factors subtract. Final score is clamped to 0–100. A buy signal fires when the AVTE flips bullish AND score ≥ Min Signal Score (default 55). A sell signal fires when AVTE flips bearish AND score ≤ (100 − Min Signal Score), creating symmetric thresholds around 50. Signals with score ≥ 75 (buy) or ≤ 25 (sell) are classified as "Strong" and receive a distinct label. 3️⃣ Ehlers Super Smoother trend cloud. A dual-band cloud system using two Ehlers Super Smoothers at different periods. The fast period depends on the Cloud Style setting: — Adaptive: auto-adjusts between 13 and 55 based on current volatility — calculated as 34 × (1 + stdev(close, 20) / adaptive_ATR × 0.5) — Fast: fixed at 21 (tight cloud for scalping) — Smooth: fixed at 55 (wide cloud for swing) — Minimal: fixed at 34 (single line, no fill) The slow period = fast period × 2.618 (golden ratio). Cloud is bullish when fast > slow (green fill), bearish when fast < slow (red fill). The AVTE step-line is overlaid on the cloud for immediate trend-direction clarity. An optional trend tracer (EMA, default 233-period) provides institutional-level long-term bias. 4️⃣ Four-preset system with parameter scaling. Presets modify three core parameters simultaneously using multipliers: — Conservative : sensitivity × 1.4, ATR period × 1.3, min score floor 70 — fewer but higher-quality signals, for swing trading — Balanced : no modification — default parameters, good for 15M–4H — Aggressive : sensitivity × 0.7, ATR period × 0.8, min score ceiling 45 — more signals, faster entries — Scalping : sensitivity × 0.5, ATR period × 0.6, min score ceiling 40 — optimized for 1–5M, tightest bands Each preset adjusts the effective sensitivity, ATR length, and minimum score threshold proportionally, so one selection adapts the entire signal pipeline rather than requiring manual tuning of individual parameters. 5️⃣ Dynamic TP/SL with frozen risk distance. Three stop-loss modes: — ATR : SL distance = adaptive ATR × configurable multiplier (default 1.5×) — Percentage : SL distance = fixed percentage of entry price — Structure : SL distance = half the recent swing range (highest high − lowest low over swing lookback) TP levels are calculated as multiples of SL distance: TP1 = SL × 1.5 (default), TP2 = SL × 2.5, TP3 = SL × 4.0. The SL distance is frozen at entry — once a signal fires, the risk distance is locked and does not change with subsequent volatility. This prevents TP/SL levels from drifting as ATR changes post-entry. TP hit markers (×) appear on the chart as each level is reached. An optional Chandelier Exit trailing stop follows price using the ATR multiplier, ratcheting in the profit direction. 6️⃣ Pullback signals within established trends. In addition to trend-flip signals, the indicator detects pullback entries within an existing trend: — Bullish pullback: AVTE trend is bullish (no flip), price retraces to EMA(pullback_sensitivity × 3), RSI(pullback_sensitivity) drops below 35 then starts rising — catching the bounce off trend support — Bearish pullback: AVTE trend is bearish, price rallies to EMA, RSI exceeds 65 then starts falling Pullback signals appear as small circles (distinct from the main Buy/Sell labels), providing additional entries within a confirmed trend direction. They are bar-close confirmed and warmup-protected. 7️⃣ Volatility gauge with statistical normalization. The dashboard displays a real-time volatility reading (0–100%) calculated as: gauge = (ATR(10) − (SMA(ATR, 20) − StDev(ATR, 20))) / (2 × StDev(ATR, 20)) × 100, clamped to 0–100. This measures where current volatility sits relative to its recent statistical distribution: > 70% = High (above 1 standard deviation), 40–70% = Medium, < 40% = Low. This helps you assess whether the current environment suits your strategy: high volatility favors wider stops and fewer signals, low volatility favors tighter approaches. 8️⃣ Multi-timeframe trend panel (non-repainting). The dashboard includes an MTF panel showing trend direction on 5M, 15M, 1H, 4H, and 1D — using close > EMA(200) with lookahead_on for guaranteed non-repainting. When most timeframes align in one direction, trend-flip signals in that direction have higher confluence. 9️⃣ Session detection. The dashboard shows the current active trading session: Tokyo, London, New York, Sydney, or overlaps (London/New York, Tokyo/London). Sessions are calculated using UTC-based time windows. This helps you contextualize volatility: London/New York overlap is typically the highest-volume period, while off-hours have thinner liquidity. 🔟 Four optional filters. Each filter can be independently toggled: — Trend filter : only signals aligned with the Ehlers cloud direction — Volume filter : only signals with volume EMA(10) > EMA(25) — auto-disabled for instruments without volume — ADX filter : only signals when ADX > 20 (trending market) — Momentum filter : only signals with MACD histogram aligned (positive + rising for buys, negative + falling for sells) All filters default to Off — enabling them progressively reduces signal frequency while increasing average quality. ⚙️ HOW IT WORKS — CALCULATION FLOW Step 1 — Ehlers filtering: Source price is passed through the 2-pole Super Smoother with period = max(round(ATR_period / 2), 3). This removes intrabar noise while preserving trend structure. Step 2 — Adaptive ATR: Kaufman Efficiency Ratio is calculated over the ATR period. The ER modulates the smoothing speed of ATR: trending conditions → fast adaptation, choppy conditions → slow adaptation. Step 3 — Band construction: Upper = filtered_price + sensitivity × adaptive_ATR. Lower = filtered_price − sensitivity × adaptive_ATR. Bands ratchet: lower band can only rise in uptrends, upper band can only fall in downtrends. Step 4 — Trend detection: Close above upper band → bullish. Close below lower band → bearish. The trend line is the active band (lower in uptrends, upper in downtrends). Step 5 — Confluence scoring: On every bar, five factors are evaluated and combined into a 0–100 score. On a trend flip bar, the score determines whether the signal qualifies. Step 6 — Filter gate: If any enabled filter disagrees, the signal is suppressed. Step 7 — Signal emission: Buy or Sell label appears on the confirmed bar. Score ≥ 75 / ≤ 25 → "Strong Buy/Sell". Step 8 — TP/SL placement: Risk distance is calculated and frozen. TP1/TP2/TP3 are placed as R:R multiples. Labels persist on the right side of the chart. Hit markers appear as each level is reached. 📖 HOW TO USE 🎯 Quick start: 1. Select a preset matching your style: Scalping (1–5M), Balanced (15M–4H), Conservative (4H–1D) 2. Add the indicator to your chart — the AVTE trend line and cloud appear immediately 3. Wait for a Buy or Sell label — the score next to it tells you the confluence quality 4. Check the dashboard: trend direction, score, market state (trending/ranging), volatility, session 5. TP/SL levels appear automatically — manage the trade using the marked levels 👁️ Reading the chart: — 🟩 Green cloud fill = bullish trend (Ehlers fast > slow) — 🟥 Red cloud fill = bearish trend — Step-line on the cloud = AVTE trend boundary (the level that must break for a trend flip) — 🟢 "Buy" / "Strong Buy" label below bar = confirmed bullish signal — 🔴 "Sell" / "Strong Sell" label above bar = confirmed bearish signal — 🟢 Small circle below bar = pullback buy (trend continuation entry) — 🔴 Small circle above bar = pullback sell — Orange line = entry price | Red line = stop loss | Green lines = TP1/TP2/TP3 — × markers = TP hit confirmations — HH/HL/LH/LL labels (optional) = market structure swing points 📊 Dashboard fields: — Trend: current AVTE direction (Bullish/Bearish) — Signal: last confirmed signal (Buy/Sell/Wait) — Score: current confluence score (0–100) — Market: ADX-based state (Trending > 25 / Ranging > 20 / No Trend) — Volatility: statistical gauge (High/Medium/Low with percentage) — Session: current active session (Tokyo/London/New York/Sydney/overlaps) — MTF Panel: 5M/15M/1H/4H/1D trend direction (close vs 200 EMA) 🔧 Tuning guide: — Too many signals: increase Min Score, enable filters, switch to Conservative preset — Too few signals: decrease Min Score, switch to Aggressive/Scalping, lower Sensitivity — Signals too late: lower Sensitivity (tighter bands), use Fast cloud style — Too many false signals: enable ADX filter (filters ranging markets), increase Min Score to 65+ — Scalping 1–5M: use Scalping preset, ATR mode SL with multiplier 1.0–1.5, TP1 R:R 1.0–1.5 — Swing 4H–1D: use Conservative preset, ATR mode SL with multiplier 2.0–3.0, TP3 R:R 5.0+ ⚙️ KEY SETTINGS REFERENCE ⚙️ Main: — Trend Sensitivity (default 2.5): AVTE band distance — lower = more signals, higher = fewer — ATR Period (default 21): volatility measurement lookback — Preset (default Balanced): Conservative / Balanced / Aggressive / Scalping 📡 Signal Tuning: — Min Signal Score (default 55): minimum confluence to trigger signals — Strong Signals Only (default Off): only show score ≥ 75 — Show Pullback Signals (default On): trend continuation entries — Pullback Sensitivity (default 8): retracement detection lookback ☁️ Trend Cloud: — Cloud Style (default Adaptive): Adaptive / Fast / Smooth / Minimal — Trend Tracer (default Off): long-term EMA bias line (default 233) 🔍 Filters (all default Off): — Trend Filter (cloud alignment) / Volume Filter / ADX Filter / Momentum Filter 🛡️ Risk Management: — SL Mode (default ATR): ATR / Percentage / Structure — SL ATR Multiplier (default 1.5×) / SL Percentage (default 1.0%) — TP1/TP2/TP3 Risk:Reward (default 1.5 / 2.5 / 4.0) — Trailing Stop (default Off): Chandelier Exit method — Market Structure (default Off): HH/HL/LH/LL swing labels 🎨 Visual: — Auto / Dark / Light theme — Bar coloring: Trend Gradient / Signal Based / Momentum / None — Background trend shading (default Off) 📊 Dashboard: — Position, font size, MTF panel toggle 🔔 Alerts — 🟢 Buy / Strong Buy — ticker, price, timeframe, score — 🔴 Sell / Strong Sell — same fields — 🎯 TP1 / TP2 / TP3 Hit — ticker, price — 🛑 SL Hit — ticker, price — ☁️ Cloud Cross Bullish / Bearish — ticker, timeframe All alerts support plain text and JSON webhook format. Bar-close confirmed. ⚠️ IMPORTANT NOTES — 🚫 No repainting. All signals require barstate.isconfirmed. TP/SL distances are frozen at entry and do not change retroactively. MTF data uses + lookahead_on for non-repainting HTF values. A warmup period (minimum 200 bars or 3× ATR period) prevents signals during insufficient data. — 📐 The AVTE is not a standard Supertrend . It replaces every component: Ehlers Super Smoother instead of raw price, Kaufman adaptive ATR instead of fixed ATR, ratcheting bands instead of simple ±ATR. The mathematics are described in detail above. — ⚖️ The confluence score is not a win-rate predictor . A score of 75 means five independent market factors align strongly — it measures confluence quality, not outcome probability. Use it to prioritize, not to guarantee. — 📊 The scoring system uses standard indicators (EMA, RSI, MACD, Volume, ADX) as confluence factors , not as independent signal generators. None of these indicators alone triggers a signal — they only contribute to the score that gates an AVTE trend flip. — 🔧 Presets modify parameters proportionally. After selecting a preset, you can still adjust individual settings — the preset sets the starting point, your adjustments override it. — 📏 TP/SL levels are frozen at entry . The SL distance calculated at the signal bar persists until the next signal — it does not drift with changing ATR. This is by design for consistent risk management. — 🔄 Pullback signals are continuation entries , not reversal signals. They only appear within an established AVTE trend and require RSI reversion from oversold/overbought — catching bounces off trend support/resistance. — 🛠️ This is a signal and analysis tool , not an automated trading bot. It generates signals, scores them, and visualizes TP/SL — trade decisions remain yours. — 🌐 Works on all markets and timeframes. Volume filter auto-disables on instruments without volume data.
Indicador Pine Script®
por WillyAlgoTrader
Malaysian SnR Levels [UAlgo]Malaysian SnR Levels is a structure based support and resistance overlay that automatically plots three level types on the chart: A-Levels, which act as resistance V-Levels, which act as support Gap Levels, which mark qualifying candle to candle price gaps The script is built for traders who want clean horizontal reference levels that stay active until price decisively crosses through them. Instead of drawing every pivot forever, the indicator manages each level as a stateful object with freshness and activity tracking. A newly created level begins as fresh , becomes unfresh after its first wick interaction, and remains active until price fully crosses through it. Once broken, the level stops extending and is archived on the chart. A major strength of this implementation is its optional multi timeframe workflow. You can leave the timeframe input empty to detect levels on the current chart, or select a higher timeframe to project higher timeframe A, V, and Gap levels onto a lower timeframe execution chart. This makes the script useful for both local chart structure and top down level mapping. The result is a practical support and resistance engine focused on: Pivot based resistance and support Gap based structural levels Fresh versus unfresh state tracking Automatic break detection Optional MTF level projection 🔹 Features 🔸 1) Automatic A-Levels and V-Levels The script detects pivot highs and pivot lows and converts them into horizontal support and resistance levels: A-Levels come from confirmed pivot highs and behave as resistance V-Levels come from confirmed pivot lows and behave as support These are built from pivot calculations on close , not on raw high and low extremes, which gives the levels a close based structural character. 🔸 2) Automatic Gap Levels In addition to pivots, the script detects directional gap style levels when two consecutive candles move in the same direction and the open to prior close gap exceeds a minimum tick distance. Bullish gap logic creates a gap level at the previous close. Bearish gap logic also creates a gap level at the previous close. This gives the indicator a third structural layer beyond classic pivot based support and resistance. 🔸 3) Fresh and Unfresh State Tracking Every new level starts as fresh . A fresh level is considered untouched. Once price interacts with the level by wick, it becomes unfresh : The line style changes to dashed The width becomes thinner The color shifts to the unfresh color theme This helps traders quickly distinguish untouched levels from levels that have already been tested. 🔸 4) Active Until Full Break A level stays active until price crosses through it. Once broken, the level: Stops extending Fixes its endpoint at the break time Keeps the historical line visible Stops updating as an active level This is useful because old levels remain visible for review, while current active levels continue projecting forward. 🔸 5) Multi Timeframe Detection (Optional) The script supports a selectable detection timeframe: Leave it empty to use the current chart timeframe Set it to a higher timeframe to project higher timeframe levels onto the current chart This is especially useful when traders want to execute on a lower timeframe while respecting higher timeframe structure. 🔸 6) Minimum Gap Filter in Ticks Gap levels are filtered by a configurable minimum distance in ticks. This avoids plotting tiny micro gaps and helps keep only more meaningful dislocations. 🔸 7) Duplicate Level Protection Before adding a new level, the script checks whether an active level already exists near the same price. If another active level is within a small tick range, the new one is skipped. This reduces clutter and prevents nearly identical levels from stacking on top of each other. 🔸 8) Separate Visibility Controls Users can independently choose whether to display: A-Levels V-Levels Gap Levels This makes the tool adaptable for different workflows, such as only plotting pivot levels or only monitoring gap structure. 🔸 9) Full Visual Customization The script provides separate color controls for: Fresh A-Levels Unfresh A-Levels Fresh V-Levels Unfresh V-Levels Fresh Gap Levels Unfresh Gap Levels It also allows customization of: Fresh line width Unfresh line width Label size This makes it easy to fit the indicator into different chart styles. 🔸 10) Label Projection to the Right Each active level includes a compact label showing its type: A V Gap The label is automatically pushed several time steps to the right of current price so it stays readable and aligned with the level. 🔸 11) Automatic Level Count Management The script keeps the number of stored levels under control using a maximum active limit. When capacity is exceeded, it tries to remove an older inactive level first. This helps maintain chart cleanliness and stay within TradingView object limits. 🔹 Calculations 1) Pivot Based A-Level and V-Level Detection The script calculates pivots using close, not high or low: float ph = ta.pivothigh(close, pivotLength, pivotLength) float pl = ta.pivotlow(close, pivotLength, pivotLength) Interpretation: A-Level = confirmed close based pivot high V-Level = confirmed close based pivot low Because pivot confirmation requires bars on both sides, the level time is aligned to the true pivot bar using: int ph_t = not na(ph) ? time : na int pl_t = not na(pl) ? time : na 2) Gap Level Detection Logic The script defines bullish and bearish gap conditions using consecutive candles in the same direction plus a minimum gap size measured in ticks. Bullish gap: bool bullishGap = prevBullish and isBullish and (open - close ) >= syminfo.mintick * minGapTicks Bearish gap: bool bearishGap = prevBearish and isBearish and (close - open) >= syminfo.mintick * minGapTicks If either condition is true, the gap level is set at: gap_price := close So the reference price for the gap level is the previous candle’s close. 3) Multi Timeframe Data Selection The script computes levels in a helper function and can either use: Local chart data directly Or higher timeframe data through request.security = request.security(...) If the timeframe input is empty, local values are used. Otherwise, the security values are used: float ph = tf == "" ? loc_ph : sec_ph This gives flexible MTF projection while keeping one consistent logic engine. 4) New Level Event Detection To prevent the same pivot or gap from being added multiple times, the script checks whether the timestamp of the detected event changed: bool new_ph = not na(ph_t) and ph_t != nz(ph_t ) bool new_pl = not na(pl_t) and pl_t != nz(pl_t ) bool new_gap = not na(gap_t) and gap_t != nz(gap_t ) This is an important implementation detail because it avoids a common Pine issue where na != na can propagate as na and block reliable detection. 5) Level Creation and Duplicate Protection Before a new level is added, the script checks existing active levels and rejects duplicates that are too close: if lvl.isActive and math.abs(lvl.price - p) < syminfo.mintick * 10 exists := true This means levels within 10 ticks of an existing active level are treated as duplicates and not added. 6) Level Initialization When a level is created, it starts as: Fresh = true Active = true A line is drawn from the source time and extended to the right: line.new(st, p, st + timeStep, p, xloc=xloc.bar_time, color=c, width=lineWidthFresh, extend=extend.right) A label is also created and placed several time steps to the right: label.new(cur_time + timeStep * 5, p, t, ...) This keeps the label visually separated from the current candle. 7) Fresh to Unfresh Transition Logic A level becomes unfresh when price first touches it by wick while the level is still active. For A-Levels: touchedWick := h >= this.price For V-Levels: touchedWick := l <= this.price For Gap levels: touchedWick := h >= this.price and l <= this.price Once touched: The level remains active isFresh becomes false The line becomes dashed The width changes to the unfresh width The line and label colors switch to the unfresh palette This means a wick touch weakens the level visually, but does not break it. 8) Break / Deactivation Logic A level becomes inactive only when price crosses through it, not merely when it is touched. Cross up condition: bool crossedUp = (o <= this.price and c > this.price) or (c_prev < this.price and c > this.price) Cross down condition: bool crossedDown = (o >= this.price and c < this.price) or (c_prev > this.price and c < this.price) If either is true: this.isActive := false this.lvlLine.set_x2(curTime) this.lvlLine.set_extend(extend.none) this.lvlLabel.set_x(curTime) Interpretation: The level stops projecting and is fixed at the break time. 9) Time Step Handling The script uses the current bar’s time distance to position and extend labels: int timeStep = bar_index > 0 ? time - time : 60000 This is important because the script uses xloc.bar_time , so horizontal positioning is time based rather than bar index based. 10) Maximum Level Management When the array exceeds the user defined maximum, the script tries to remove an inactive level first: if this.size() > maxLevels int removeIdx = 0 for i = 0 to this.size() - 1 SnRLevel lvl = this.get(i) if not lvl.isActive removeIdx := i break Then it deletes that level’s line and label. Important implementation note: If no inactive level is found, removeIdx remains 0, so the oldest level in the array is removed. 11) A-Level, V-Level, and Gap Interpretation In this script: A-Levels are close based pivot highs and function like resistance V-Levels are close based pivot lows and function like support Gap Levels are prior close reference levels from qualifying directional gaps All three share the same lifecycle framework: Fresh Unfresh after wick touch Inactive after a full cross through
Indicador Pine Script®
por UAlgo
3
3D Volume Profile [UAlgo]3D Volume Profile is a chart based volume profile indicator that takes a classic horizontal profile concept and presents it as a pseudo 3D structure directly on price. Instead of drawing flat histogram bars only, the script renders each profile row as a shaded 3D block with a front face, a side face, and a top face, which creates a stronger visual sense of depth and distribution. The indicator runs on price ( overlay=true ) and builds a rolling volume profile over a user defined lookback window. It divides the recent price range into fixed bins, distributes candle volume across those bins, identifies the Point of Control and the Value Area, and then draws the result on the right side of the chart. Each row is color coded by dominant flow direction, which means the profile can show whether a bin was more buy dominated or sell dominated in addition to showing how much total volume accumulated there. This makes the tool useful for traders who want more than a basic profile display. It combines: A rolling horizontal volume profile Buy versus sell dominance shading Point of Control and Value Area detection A forward projected 3D style histogram Clear POC, VAH, and VAL reference lines on the chart The final result is a visually rich profile tool designed for fast structural reading, especially when identifying acceptance zones, thin areas, and dominant participation regions. 🔹 Features 🔸 1) Rolling Volume Profile Over a Recent Window The script builds a rolling profile from the most recent user selected number of bars. This means the profile continuously adapts as new bars come in, making it more useful for current market structure analysis than a fixed session only approach. 🔸 2) 3D Style Histogram Rendering Each volume row is drawn as a pseudo 3D block rather than a flat rectangle. The script creates: A front face A side face A top face The side and top faces are shaded versions of the main color, which gives the profile a depth effect and makes the structure easier to read visually. 🔸 3) Customizable 3D Depth in X and Y The 3D effect is controlled with two settings: 3D Depth X , which controls how far the rear face is shifted horizontally in bars 3D Depth Y , which controls how far the rear face is shifted vertically as a percentage of row height This allows the user to make the profile look flatter or more pronounced depending on preference. 🔸 4) Buy and Sell Volume Dominance Coloring Each bin tracks both buy volume and sell volume. If buy volume is greater than or equal to sell volume, the row uses the bullish color. If sell volume dominates, the row uses the bearish color. This means the profile is not only a measure of total activity. It also adds directional context to each price zone. 🔸 5) Point of Control Detection The script identifies the row with the highest total volume and marks it as the Point of Control. The POC is highlighted with its own dedicated color and is visually distinct from the rest of the profile. This gives traders an immediate reference for the most active price zone in the rolling range. 🔸 6) Value Area Calculation The indicator calculates a Value Area around the Point of Control based on the user selected percentage. Bins inside the Value Area are marked and recolored with the Value Area color, which makes the high participation region easy to identify. 🔸 7) Forward Projected Profile Layout The profile is drawn to the right of current price using a configurable offset. This keeps the active candle area readable while still placing the profile in a clear and accessible location. 🔸 8) Adjustable Resolution and Width Users can control: The lookback length The number of profile rows The maximum width of the histogram The right side offset This makes the indicator suitable for both coarse structural analysis and more detailed profile inspection. 🔸 9) POC, VAH, and VAL Reference Lines After the profile is built, the script calculates the POC, Value Area High, and Value Area Low, then projects horizontal reference lines across the chart. Labels are placed to the right so the key levels are clearly marked. 🔸 10) Row by Row Dominance and Acceptance Reading Because each row stores total volume, buy volume, sell volume, Value Area membership, and POC status, the indicator gives a layered view of the market: Where the most activity occurred Which zones were accepted Which zones were dominated by buyers Which zones were dominated by sellers 🔸 11) Premium Visual Presentation The script uses shaded faces, dedicated POC highlighting, Value Area recoloring, and clean right side labels. This makes it more presentation focused than a basic flat profile and improves chart readability for manual analysis. 🔹 Calculations 1) Profile Range Detection The script first finds the highest high and lowest low inside the active lookback window. This defines the full vertical range of the volume profile. Only the most recent bars inside that window are used for profile construction. 2) Bin Initialization Once the recent range is known, the script divides that price range into the chosen number of bins. Each bin stores: Top boundary Bottom boundary Total volume Buy volume Sell volume Flags for Value Area and POC The bin size is calculated by dividing the total price range by the number of rows. 3) Volume Distribution Across Price Bins For each candle, the script determines which bins the candle spans. It then spreads that candle’s volume evenly across all touched bins. This is important because the script does not place the full candle volume into a single price level. Instead, it allocates the candle volume across the portion of the profile that candle covers. Important implementation note: This script uses equal distribution across the spanned bins, not proportional overlap weighting. That means each touched row receives the same share of the candle’s volume. 4) Buy Versus Sell Volume Classification The script classifies each candle as buy dominated or sell dominated using candle direction: If close is greater than or equal to open, the candle is treated as buy volume If close is below open, the candle is treated as sell volume That candle’s allocated volume is then added to either volBuy or volSell inside each touched bin. This is a practical directional approximation, not true bid ask tape volume. 5) Total Volume and POC Detection After all candles are processed, the script scans every bin and calculates: The total volume across the profile The maximum single bin volume The POC index The POC is the bin with the highest total volume. That bin is marked as both isPOC and isVA before Value Area expansion begins. 6) Value Area Expansion Logic The Value Area is built around the POC by expanding upward and downward until the selected percentage of total profile volume is included. The script compares the next bin above and the next bin below the current Value Area. It adds whichever side has greater volume first. This continues until cumulative included volume reaches the target Value Area percentage. This creates a standard profile style Value Area centered on the highest participation region. 7) Histogram Width Normalization Each row’s width is scaled relative to the maximum volume row: The row with the most volume becomes the widest Smaller rows are scaled proportionally This means width directly communicates relative participation at each price zone. 8) Color Selection Logic For each bin, the script first determines whether buy volume or sell volume dominates: If buy volume is greater than or equal to sell volume, it uses the bullish color Otherwise it uses the bearish color Then the script overrides that base direction color if needed: If the row is the POC, it uses the POC color If the row is inside the Value Area, it uses the Value Area color This gives the profile a clear visual hierarchy: POC first Value Area second Directional dominance otherwise 9) 3D Face Construction Each row is rendered as a pseudo 3D object using: A front rectangle A shifted back edge using the X and Y depth settings A side face when horizontal depth is visible A top or bottom face depending on vertical depth direction The script shades the side face darker and the top face brighter than the base color to create a depth illusion. This is a visual projection technique, not a true 3D engine, but it produces a convincing 3D profile effect on the chart. 10) Rendering Order Logic The script changes draw order depending on the sign of the Y depth: If vertical depth is positive, rows are drawn from bottom to top If vertical depth is negative, rows are drawn from top to bottom This helps the 3D faces stack more cleanly and reduces visual overlap issues. 11) POC, VAH, and VAL Price Calculation After the profile is complete: The POC price is the midpoint of the POC bin VAH is the highest top boundary among all Value Area bins VAL is the lowest bottom boundary among all Value Area bins These levels are then drawn as horizontal lines extending from the left side of the lookback window toward the right side label area. 12) Label Placement The labels for POC, VAH, and VAL are placed slightly to the right of the profile. This keeps them readable and avoids overlap with the 3D bars themselves.
Indicador Pine Script®
por UAlgo
Smart Money Gold Map [XAUUSD Kill Zones + Liquidity Sweeps]An all-in-one session mapping and market structure overlay designed specifically for XAUUSD. Combines kill zone timing, Asian range liquidity sweeps, and dynamic psychological levels into a single clean tool. No repainting. The green and red diamonds mark Asian range liquidity sweeps, not direct buy/sell signals. They highlight where smart money grabbed liquidity so you can build your own trade thesis around them. 🔶 SESSION KILL ZONES Highlights the two most important windows for gold trading: • London Kill Zone (07:00-10:00 GMT) where the majority of gold's daily range gets established • NY AM Kill Zone (12:00-15:00 GMT) for US macro data and continuation/reversal of London Blue and purple backgrounds with "LDN" and "NY" labels at each session open so you always know where you are in the trading day. 🔶 ASIAN RANGE + LIQUIDITY SWEEPS The Asian session (22:00-06:00 GMT) defines the overnight consolidation range that London and NY will target. The indicator: • Draws the Asian range as a box on your chart • Detects when price sweeps the Asian high/low and reverses back inside • Marks each sweep with a diamond (green = low swept, red = high swept) • Fires once per sweep per day to keep the chart clean Gold consistently respects this pattern because institutional stops cluster at Asian session extremes. If you trade ICT or SMC concepts, this is the setup you're already looking for. 🔶 PSYCHOLOGICAL LEVELS At all-time highs, there is no historical resistance above current price. Round numbers become the primary S/R framework. The indicator draws: • $100 major levels as solid gold lines ($5000, $5100, $5200...) • $50 minor levels as dashed lines ($5050, $5150, $5250...) • Optional $25 midpoints as dotted lines for precision scalping Levels update dynamically around current price with dollar value labels. 🔶 REAL-TIME DASHBOARD Compact dashboard showing: • Active session with color coding • VWAP premium/discount • RSI with extreme highlighting • ATR for volatility context • Asian range width and sweep status • London and NY session ranges • Nearest psych resistance + support with distance • Zone position (near support, mid-range, near resistance) • Volatility context: TIGHT = compressed Asian range, often followed by explosive moves during kill zones 🔶 6 BUILT-IN ALERTS • Asian low swept (watch for long setup) • Asian high swept (watch for short setup) • London Kill Zone open • NY Kill Zone open • Price hit major psychological resistance • Price hit major psychological support 🔶 HOW TO USE Apply to XAUUSD on 15m, 30m, or 1H for the best session visibility. When London KZ opens, check the dashboard. If the Asian low got swept and price is sitting at VWAP discount near a $100 psych level, you have confluence for a long setup. The indicator surfaces all of this without needing to draw a single line manually. During NY, watch for continuation of London's direction or reversal at the next psych level. Session range lines show exactly where London established its high and low. When the volatility read shows "TIGHT", pay extra attention. Compressed Asian ranges tend to precede big directional moves. 🔶 SETTINGS Fully adjustable: • Session times (set to your broker's timezone) • Psych level steps ($100, $50, $25) • Number of levels displayed • All colors and visual toggles
Indicador Pine Script®
por DefinedEdge
BK AK-Iron Dome📡🛡️ BK AK–Iron Dome (Zenith Edition) 🛡️📡 🙏 All glory to G-d Respect to AK — discipline, patience, and clean execution. what this indicator is Iron Dome is a reversal probability framework built around a single, interpretable oscillator called the Reversal Score (range -100 to +100). The goal is not to “predict” tops or bottoms. The goal is to identify when price is stretched, then confirm whether a turn is forming using multiple independent factors (momentum, volume behavior, VWAP location, divergences, and context filters). This script is designed for traders who want: a clear overextended / mean-reversion map confirmation-based reversal triggers (not just “overbought/oversold”) optional filters that reduce low-quality signals (time-of-day, higher timeframe alignment, rejection candles, volume confirmation) What the Reversal Score measures (core logic) The Reversal Score is a weighted composite that blends several components into one number: Momentum + oscillator pressure RSI and Money Flow Index (MFI) are used to measure directional pressure and exhaustion risk. A momentum component (rate-of-change/acceleration behavior) is used to detect loss of thrust into extremes. Anchored VWAP position Iron Dome includes a multi-anchor VWAP engine that can be anchored to: Session (daily reset) Weekly (Monday anchor) Monthly Quarterly (auto-roll style anchor) Custom date/time anchor Or disabled (fallback VWMA) The script then measures where price sits inside VWAP bands using a true deviation model (standard deviation of price minus VWAP), and converts that into a VWAP Position score (0–100). This prevents “band width illusions” that happen when volatility changes. Adaptive thresholds (optional) Default reversal zones are: Peak zone around +90 Valley zone around -90 When Adaptive Thresholds are enabled, the script adjusts thresholds depending on whether volatility is unusually high or low (ATR regime). This helps reduce the “always in a zone” problem in high volatility and the “never reaches a zone” problem in quiet markets. Confirmation layers (what makes this different) Iron Dome’s signals are not based on a single trigger. They are filtered through optional confirmation systems you can enable/disable depending on your style. A) Divergence engine (two independent systems) Iron Dome can detect divergence in two different ways: RSI divergence (price vs RSI or Momentum-RSI) Score-line divergence (price vs the Reversal Score itself) Both use pivot confirmation logic (left/right lookbacks). That means divergence markers appear only after the pivot is confirmed — this is intentional to reduce false early calls. Once printed, the divergence condition is based on confirmed pivots, not future bars. You can also require divergence for trade signals (Require Divergence for Buy/Sell Signals) if you want fewer but stricter triggers. B) Liquidity sweep detection (stop-hunt behavior) Optional sweep detection flags candles that: break a prior swing high/low by a meaningful wick (ATR-scaled) then close back through the level (reclaim) This is used as a context boost because sweep behavior often appears near reversals. C) Exhaustion volume pattern Optional exhaustion logic looks for: a volume spike relative to average, followed by volume decay, while price stalls (ATR-scaled) This attempts to detect “effort vs result” behavior: large activity but no follow-through. D) Delta proxy (candle-structure pressure) It’s a proxy derived from candle structure (how price closes relative to the candle range). It’s used as confirmation, not as a standalone signal. E) MTF score alignment You can compute a version of the score on a higher timeframe and require alignment before signals print. This is useful when you want reversals only in the direction of a bigger context (or only when HTF is also extreme). F) Time-of-day filter (explicit timezone) This module lets you avoid historically lower-quality windows (like lunch / transition periods) and optionally boost score weight during open/close drive windows. Time windows are interpreted in a user-selected timezone so there’s no ambiguity between exchange time and local time. “Zenith Killer Gate” (final signal filter) The Zenith Gate is an optional “final checkpoint” that can require: higher timeframe trend/RSI context, a rejection candle (wick/body ratio), volume confirmation (surge or climax), time filter pass, and a one-shot arming mechanism that prevents repeated triggers until the score cools down. If you want fewer, more selective signals, enable the Zenith Gate and use it as the final decision layer. How signals are generated (simple and explicit) A signal is not “Score touched a zone.” A signal is “Score entered a zone and then turned.” Zenith Sell: score was in peak zone, then momentum/score behavior indicates a turn down, and the selected confirmation gates pass. Zenith Buy: score was in valley zone, then momentum/score behavior indicates a turn up, and the selected confirmation gates pass. This reduces the common trap of selling “overbought” too early or buying “oversold” too early. Risk tools: targets and stops (optional) Iron Dome can project: an ATR-based stop distance and multiple R:R targets (T1/T2/T3) These are planning guides, not guarantees. Targets auto-clean after a configurable number of bars to keep the chart clean. Alerts Alerts are included for: Zenith Buy / Zenith Sell extreme zone warnings RSI divergence and Score divergence liquidity sweeps exhaustion patterns high confluence states For best consistency, use alerts on bar close and avoid firing multiple intrabar alerts unless your execution requires it. Suggested usage (practical workflow) Pick your anchor style Intraday: Session anchor + RTH/ETH filter if you trade sessions Swing: Weekly/Monthly anchor + MTF alignment Use zones as “risk areas,” not entries Peak/Valley zones mean “reversal risk rising,” not “enter now.” Let confirmation decide Divergence + sweep/exhaustion + rejection candle is the classic “stack.” If you want strictness: enable Zenith Gate + require MTF alignment. Execute with structure Use your own market structure (levels, pivots, trendlines) for execution and stops. Iron Dome is the timing + confirmation layer, not a full trade plan by itself. Limitations (important) The delta component is a proxy, not true order-flow delta. Divergences based on pivots confirm after a right-lookback delay (expected behavior). The “quarterly auto-roll” anchor is an approximation intended for practical anchoring; it is not a full contract roll engine. Suitable markets and timeframes Works best on liquid markets where volume and volatility behavior are meaningful (futures, major forex pairs, large-cap equities, crypto majors). Common use cases: Intraday reversal filtering (5–30m) Swing reversal context (1H–1D with MTF alignment) Disclaimer This tool is for charting/analysis only and does not constitute financial advice. Always use independent risk management and confirm with price action and market context. 📡🛡️ BK AK–Iron Dome (Zenith Edition) 🛡️📡
Indicador Pine Script®
por Ki11a_B
Candle Body Momentum [UkutaLabs]█ OVERVIEW Candle Body Momentum is a price-action driven indicator that measures directional strength by comparing an Exponential Moving Average (EMA) of the closing price against an EMA of the opening price. Instead of relying on traditional momentum formulas, this tool focuses purely on the candle body — the space between open and close — to reveal which side of the market is in control. When the EMA of the close is above the EMA of the open, buyers are demonstrating sustained pressure. When the EMA of the close is below the EMA of the open, sellers are in control. This simple comparison creates a clean and intuitive view of real directional momentum. █ HOW IT WORKS • Calculates an EMA of the closing price • Calculates an EMA of the opening price • Compares the two values to determine directional bias • Displays the relationship visually for quick interpretation Because candle bodies represent commitment (not just volatility), this method filters out much of the noise created by wicks and intrabar spikes. █ HOW TO USE Trend Confirmation Use Candle Body Momentum to confirm directional bias. If price is trending and the close EMA remains above the open EMA, the trend is supported by sustained buying pressure. Momentum Shifts Crossovers between the two EMAs can signal potential shifts in control before traditional moving average systems react. Pullback Validation During retracements, watch whether body momentum flips temporarily or remains aligned with the broader trend. Market Conditions • Strong separation = strong momentum • Compression = weakening momentum • Frequent crossovers = ranging conditions █ WHY IT’S DIFFERENT Traditional momentum indicators use mathematical derivatives of price. Candle Body Momentum focuses on something simpler and often more meaningful: Who is consistently closing stronger than they opened? This gives traders a clean, price-driven perspective on directional strength without unnecessary complexity.
Indicador Pine Script®
por UkutaLabs
Delta Flow Volume Profile [UAlgo]Delta Flow Volume Profile is a price based profile indicator that builds a rolling volume distribution and separates that distribution into bullish and bearish participation at each price zone. Instead of showing only how much total volume traded in an area, the script splits each profile row into buyer dominated and seller dominated segments, then renders those segments side by side on the chart. This creates a more informative profile that helps reveal not only where activity concentrated, but also which side was dominant inside each level. The indicator runs directly on price ( overlay=true ) and analyzes a user defined lookback window. It divides the recent price range into fixed bins, distributes each candle’s volume across the bins it overlaps, and classifies that allocated volume as bullish or bearish based on candle direction. The final result is drawn to the right of the chart as a horizontal stacked profile where: The left segment of each row represents bullish volume The right segment represents bearish volume The widest total row identifies the Point of Control (POC) Each significant row can display buyer and seller percentage labels This makes the script useful for traders who want a profile style map of participation with directional context, especially when identifying areas where buyers were dominant, sellers were dominant, or both sides were highly active. Important note: The bullish and bearish split in this script is an approximation based on candle direction ( close >= open versus close < open ). It is not true bid ask or tick level order flow delta. 🔹 Features 🔸 1) Delta Style Volume Profile by Price Level The core idea of the script is to turn a standard horizontal volume profile into a directional participation profile. Each row tracks both bullish and bearish volume, so the user can see whether a price zone was primarily buyer controlled, seller controlled, or relatively balanced. 🔸 2) Rolling Lookback Profile The profile is built from the most recent user selected number of bars. This means the profile continuously adapts to current market structure instead of being locked to a session boundary. This makes it useful for intraday structure analysis, local range mapping, and recent participation studies. 🔸 3) Fixed Bin Price Segmentation The script divides the recent highest to lowest range into a configurable number of bins. Lower bin counts create thicker and smoother rows. Higher bin counts create more detailed and granular distribution. This lets the user control the balance between clarity and resolution. 🔸 4) Proportional Volume Allocation Across Overlapping Bins When a candle spans multiple bins, the script does not place the full candle volume into a single row. Instead, it allocates volume proportionally according to the overlap between the candle range and each bin. This produces a more realistic distribution than a single point assignment, especially for larger candles. 🔸 5) Bullish and Bearish Segment Rendering Each row is drawn as a stacked two part structure: The bullish segment starts from the left base of the profile The bearish segment continues immediately after the bullish segment This gives an intuitive visual read of which side dominated and how much each side contributed inside the same price zone. 🔸 6) Point of Control Highlighting The script automatically finds the row with the highest total volume and marks it as the Point of Control. The POC row is highlighted with a full width background band, which makes the most active zone immediately obvious. This is useful for identifying the strongest recent area of price acceptance. 🔸 7) Percentage Labels for Strong Rows For profile rows with meaningful participation, the script prints a right side label showing: Bullish percentage Bearish percentage For the POC row, the label is prefixed with POC . This gives a quick summary of directional balance at the most important nodes. 🔸 8) Dynamic Label Coloring by Dominance The percentage labels change color based on row context: POC labels use the dedicated POC color Rows dominated by bullish volume use the bullish color Rows dominated by bearish volume use the bearish color This improves readability and speeds up visual interpretation. 🔸 9) Adjustable Profile Width and Offset The profile is drawn to the right of the current bar with configurable: Profile width as a percentage of lookback Horizontal offset in bars This makes it easy to place the profile in a clean position without obstructing live price action. 🔸 10) Smooth Clean Presentation The script uses borderless boxes and compact right side labels, which gives the profile a clean and uncluttered look. This makes it suitable for traders who want visual structure without excessive chart noise. 🔸 11) Built for Practical Delta Style Context While it does not use true order flow data, the indicator still provides a highly usable approximation of directional participation. This can help identify: Buyer heavy zones Seller heavy zones Balanced zones High activity acceptance areas 🔹 Calculations 1) Price Range Detection The script first determines the highest high and lowest low over the selected lookback: float hh_global = ta.highest(high, lookback) float ll_global = ta.lowest(low, lookback) This defines the full vertical range of the profile. 2) Bin Construction That range is divided into the selected number of bins: float binSize = (hh - ll) / numBins Each bin stores: Top price Bottom price Bullish allocated volume Bearish allocated volume The bins are built from top to bottom so the profile rows map naturally across the recent range. 3) Candle by Candle Volume Processing For every bar in the lookback window, the script reads: High Low Open Close Volume Then it checks each bin to see whether the candle overlaps that bin. 4) Proportional Overlap Allocation For each overlapping bin, the script calculates: float overlapTop = math.min(bHigh, b.top) float overlapBottom = math.max(bLow, b.bottom) If there is overlap, it allocates volume proportionally: allocatedVol := bVol * ((overlapTop - overlapBottom) / rangeSize) Interpretation: If a candle covers multiple price rows, each row receives only the fraction of volume corresponding to its share of the candle’s total range. This is a more realistic approximation than assigning all volume to one bin. 5) Zero Range Candle Handling If a candle has zero range, the script assigns the full volume to the bin that contains the candle price: if rangeSize > 0 ... else if bHigh <= b.top and (bHigh > b.bottom or (j == numBins - 1 and bHigh >= b.bottom)) allocatedVol := bVol This prevents divide by zero issues and still keeps the data usable. 6) Bullish vs Bearish Classification Once the script calculates allocated volume for a bin, it classifies that volume by candle direction: if bClose >= bOpen b.bullVol += allocatedVol else b.bearVol += allocatedVol Interpretation: Bullish volume means the candle closed at or above its open. Bearish volume means the candle closed below its open. Important note: This is a directional approximation. It is not true tape based aggressive buy or aggressive sell volume. 7) Total Volume, Delta, and Percent Methods Each bin includes helper methods: totalVol() returns bullVol + bearVol deltaVol() returns bullVol - bearVol bullPct() returns bullish percentage of total bearPct() returns bearish percentage of total The script actively uses total volume and percentages in rendering. The deltaVol() method is defined for convenience, but this version does not directly plot or label the raw delta value. 8) Point of Control Detection After all bins are populated, the script finds the row with the largest total volume: if bTotVol > maxVol maxVol := bTotVol pocIdx := i This row becomes the Point of Control and acts as the strongest recent participation zone. 9) Width Normalization The total maximum row volume is used as the width normalization anchor. For each row: float bullRatio = b.bullVol / maxVol float bearRatio = b.bearVol / maxVol Then the segment widths are scaled into bars: int bullWidthBars = math.round(bullRatio * maxBoxWidthBars) int bearWidthBars = math.round(bearRatio * maxBoxWidthBars) Because both bullish and bearish widths are normalized against the same maxVol , their combined width reflects the row’s total participation relative to the profile maximum. 10) Minimum Visible Width Safeguard If a row has non zero bullish or bearish volume but the calculated width rounds to zero, the script forces a minimum width of one bar: if b.bullVol > 0 and bullWidthBars == 0 bullWidthBars := 1 This ensures small but meaningful contributions remain visible. 11) Right Side Time Based Layout The profile is rendered using xloc.bar_time , so all horizontal distances are based on time, not bar index. The script calculates: A base left time for the profile A maximum right time A per bar time width Key logic: int leftBaseTime = lastBarTime + (profileOffset * barTimeDiff) int maxRightTime = leftBaseTime + (maxBoxWidthBars * barTimeDiff) This makes the profile appear a fixed number of bar widths to the right of the latest candle. 12) POC Background Highlight Before drawing the bullish and bearish segments for the POC row, the script paints a full width background band: box.new(left=leftBaseTime, top=drawTop, right=maxRightTime, bottom=drawBottom, ...) This gives the POC a distinct highlighted backdrop behind the actual stacked volume bars. 13) Visual Gap Inside Each Bin The script trims the top and bottom of each drawn row slightly: float boxGap = (b.top - b.bottom) * 0.1 float drawTop = b.top - boxGap float drawBottom = b.bottom + boxGap This creates small vertical spacing between rows, which improves readability and avoids a fully merged block appearance. 14) Percentage Label Threshold Labels are not printed for every row. They appear only when the row’s total volume is greater than 15 percent of the maximum row volume: if bTotVol > (maxVol * 0.15) This reduces clutter and focuses attention on more relevant nodes. 15) Label Text Construction For significant rows, the script computes: Bullish percentage Bearish percentage Then formats them as: string labelText = bullStr + " | " + bearStr For the POC row: labelText := "POC: " + labelText
Indicador Pine Script®
por UAlgo
Polymarket Smart Money 5m (Madrimov)🔵 Polymarket Smart Money 5m ( by Madrimov) Polymarket Smart Money 5m is a precision-based market structure indicator designed specifically for 5-minute trading, optimized for fast decision-making environments such as Polymarket and short-term derivatives markets. It combines Smart Money Concepts (SMC) with controlled entry timing and volume confirmation to reduce noise and avoid overtrading. ⚙️ Core Logic 1️⃣ Market Structure (Smart Money Concepts) Detects Swing Highs & Swing Lows Identifies: CHOCH (Change of Character) → Major structure shift BOS (Break of Structure) → Trend continuation Automatically tracks bullish and bearish trend state 👉 CHOCH alone = strong reversal signal 👉 BOS requires volume confirmation 2️⃣ Volume Confirmation Engine Compares current volume against highest volume in lookback period Requires: Volume spike (multiplied threshold) Minimum price displacement (0.15%) Filters weak structure breaks This helps eliminate fake breakouts and low-liquidity moves. 3️⃣ Polymarket Entry Window Filter Signals are allowed only within the first X minutes of each 5-minute candle block Default: First 2 minutes Only 1 signal per 5-minute block This prevents signal stacking and late entries. 📊 What You See On Chart ✔ Swing High / Swing Low markers ✔ Last High & Last Low structure lines ✔ CHOCH context markers ✔ Entry Window background highlight ✔ Clear UP / DOWN arrows ✔ Confidence % label (60–72%) ✔ Alert-ready signals 🧠 Signal Strength Confidence % is calculated based on: CHOCH only → ~65% BOS with volume → ~60% CHOCH + Volume spike → ~72% (strongest setup) 🔔 Alerts Built-in alerts available: 🟢 UP Signal 🔴 DOWN Signal Works perfectly with TradingView webhooks for automation. 🎯 Best Used For 5-minute charts Polymarket event trading Short-term scalping High volatility sessions ⚠️ Important Notes Designed for 5M timeframe only Not a strategy (no backtesting) Use proper risk management Works best during active market sessions
Indicador Pine Script®
por Madrimov_trade
RSI Divergence (Regular + Hidden + Live) - StableLogicTake your momentum trading to the next level with the RSI Divergence (Regular + Hidden + Live) indicator . This tool doesn't just look at the past; it actively tracks developing price action to spot potential reversals and trend continuations before they fully form. Packed with a clean, gradient-based UI, this indicator automatically scans for four specific types of divergences and visually plots them directly on your oscillator panel. 🌟 Key Features Complete Divergence Detection: Automatically identifies and plots all four major types of divergence: Regular Bullish: Price makes a Lower Low, but RSI makes a Higher Low (Trend Reversal). Regular Bearish: Price makes a Higher High, but RSI makes a Lower High (Trend Reversal). Hidden Bullish: Price makes a Higher Low, but RSI makes a Lower Low (Trend Continuation). Hidden Bearish: Price makes a Lower High, but RSI makes a Higher High (Trend Continuation). Live "Pending" Divergences: Unlike traditional indicators that only plot after a pivot is fully confirmed (which inherently causes lag), this script features a Live Tracking engine. It compares the current real-time candle to the last confirmed pivot, drawing a dashed line to warn you of a developing divergence. Smart Invalidation Logic: The live tracking feature includes a mathematical crossover check. If the RSI line breaks the divergence trendline prematurely, the pending signal is automatically invalidated, keeping your chart free of false signals. Modern Visuals: Features sleek gradient fills for the Overbought (>70) and Oversold (<30) zones, making momentum extremes easy to spot at a glance. ⚙️ Settings & Customization RSI Length: Standard RSI lookback period (Default: 14). Pivot Lookback (Delay): Determines how many bars are required to confirm a swing high or low. A lower number (e.g., 3) makes the indicator faster but slightly riskier/noisier. The default of 5 is a balanced standard. History Depth: Controls how far back the indicator searches for past pivots to compare against (Default: 20). Show Live (Pending)?: Toggle the real-time dashed tracking lines on or off. Custom Colors: Fully customize the line and label colors for every single type of divergence to match your personal chart theme. Pro Tips for Trading Divergence Pending = Prepare: When you see a dashed orange "Live Pending" line, do not enter immediately. Use it as a warning to get your trigger ready. Wait for the candle to close or look for a confirmation signal (like a bullish engulfing or pin bar) on the price chart. Context is King: Regular divergences work best at major support/resistance levels. Hidden divergences work best when trading with the higher timeframe trend. Combine Tools: RSI divergence is a powerful tool, but it shouldn't be used in isolation. Combine it with Volume, Moving Averages, or Market Structure breaks for high-probability setups. *** Disclaimer: This script is for educational and analytical purposes only and does not constitute financial advice.
Indicador Pine Script®
por Stable_Logic
Footprint Delta Divergence# Footprint Delta Divergence ## Overview This indicator automatically detects **delta divergences** on your chart — a powerful signal derived from order flow analysis. When price makes a new extreme but the underlying buying/selling pressure (delta) fails to confirm, it often signals an impending reversal. This is the core concept behind footprint chart divergence trading, now fully automated. ## What Is Delta Divergence? In footprint analysis, **delta** represents the net difference between aggressive buyers (market buy orders lifting the ask) and aggressive sellers (market sell orders hitting the bid). Delta divergence occurs when: - **Bullish Divergence**: Price prints a *lower low*, but delta prints a *higher low* — selling pressure is drying up despite the new price low. Smart money may be absorbing supply. - **Bearish Divergence**: Price prints a *higher high*, but delta prints a *lower high* — buying pressure is fading despite the new price high. Distribution may be underway. - **Hidden Bullish Divergence** *(optional)*: Price makes a higher low while delta makes a lower low — a trend continuation signal suggesting the uptrend is intact. - **Hidden Bearish Divergence** *(optional)*: Price makes a lower high while delta makes a higher high — suggesting the downtrend will continue. ## How It Works The indicator uses a **pivot-based detection engine** to identify swing highs and lows on both price and delta, then compares successive pivots to flag divergences in real time. **Delta Calculation** — Three methods available: - **Volume Delta (Tick)**: Splits each bar's volume into buy/sell components using intra-bar price position. Best accuracy with CME tick data. - **Volume Delta (Estimated)**: Williams-style weighted approximation — `delta = volume × (2 × close_position - 1)`. Solid fallback for instruments without tick-level data. - **OBV**: Classic On-Balance Volume approach. Simplest method, assigns full bar volume as positive or negative. **Pivot Detection**: Configurable lookback period scans for local highs and lows on both price and delta series simultaneously. **Divergence Matching**: When a new pivot forms, the indicator compares it against the previous pivot of the same type. If price and delta move in opposite directions beyond the minimum threshold, a divergence is flagged. ## Signal Filtering Raw divergence detection produces noise. This indicator includes multiple filters to improve signal quality: - **Minimum Delta Change %**: Requires a meaningful percentage difference between the two pivot delta values. Eliminates marginal, low-conviction signals. - **Volume Filter**: Optionally requires the bar's volume to exceed a multiple of the volume moving average. Ensures divergences occur on bars with meaningful participation. - **Maximum Bar Spacing**: Limits the distance between two pivots. Divergences spanning too many bars lose their predictive edge. ## Visual Output - **Labels**: Clear `🟢 Bull Δ Div` and `🔴 Bear Δ Div` markers at the divergence point. Hidden divergences shown with smaller, semi-transparent labels. - **Trend Lines**: Solid lines connecting the two pivot points on price for regular divergences; dashed lines for hidden divergences. - **Bar Coloring**: Divergence bars are highlighted in green (bullish) or red (bearish). - **Background Highlighting**: Subtle background shading on divergence bars for quick scanning. - **Info Panel**: Real-time table showing current delta, cumulative delta, volume ratio, and configuration. ## Recommended Settings | Timeframe | Pivot Lookback | Use Case | |-----------|---------------|----------| | 1-5 min | 3-4 | Scalping, intraday reversals | | 5-15 min | 5 (default) | Day trading | | 30-60 min | 6-8 | Swing entries | | Daily | 8-12 | Position trading | **Best pairs**: CME futures (ES, NQ, CL, GC, 6E) where tick-level volume data is available. The indicator works on any instrument, but delta accuracy improves significantly with real order flow data. ## Tips for Best Results 1. **Combine with key levels** — Delta divergences near visible support/resistance, POC (Point of Control), or VWAP carry significantly more weight. 2. **Watch cumulative delta context** — A bullish divergence forming while cumulative delta is trending up (buyers in control on higher timeframe) is a higher-probability setup. 3. **Volume matters** — Divergences on above-average volume bars represent genuine shifts in order flow, not just low-liquidity noise. 4. **Multi-timeframe confirmation** — A divergence on 5-min confirmed by a divergence or delta shift on 15-min is a strong signal. ## Alerts Built-in alert conditions for all four divergence types: - Bullish Delta Divergence - Bearish Delta Divergence - Hidden Bullish Divergence - Hidden Bearish Divergence Set alerts via TradingView's alert dialog to get notified in real time without watching the chart. ## Disclaimer This indicator is a tool for analysis, not a standalone trading system. Always use proper risk management and combine signals with your broader market analysis. Past divergence patterns do not guarantee future results.
Indicador Pine Script®
por Bying369
RANGE Expansion X📊 Range Expansion X The Range Expansion X is a daily range expansion framework built around the previous day’s high–low structure. It automatically projects structured entry, stop loss, and take profit levels using Fibonacci-based calculations derived from the prior session’s range. This model is designed for traders who focus on breakout continuation and controlled expansion setups during active sessions like London and New York. 🔎 How It Works Each new trading day: • Pulls the previous day’s high and low • Calculates the full daily range • Projects structured long and short levels • entering on daily open after determining trend 📈 Long Structure Entry → Previous Day High (1.0) Stop Loss → 0.9 retracement Take Profit → 1.25 extension 📉 Short Structure Entry → Previous Day Low (0.0) Stop Loss → 0.1 retracement Take Profit → -0.25 extension This creates a systematic breakout model with predefined risk and reward parameters. ⚙️ Features ✔ Automatic daily level reset ✔ Fibonacci-based expansion logic ✔ Long / Short visibility toggle ✔ Custom colors for Entry, Stop, and Target ✔ Optional line extension ✔ Non-repainting daily reference data 🎯 Best Used For • Intraday breakout traders • London / NY session expansion plays • Range breakout continuation setups • Traders who prefer fixed R:R structure • Structured playbook execution 🧠 Strategy Logic The model assumes: When price breaks the previous day’s range, expansion probability increases. Instead of chasing momentum blindly, Range Expansion X provides predefined execution levels based on mathematical range projections. using fib levels This removes emotional decision-making and enforces disciplined risk management. ⚠️ Notes • Designed primarily for intraday timeframes • Works best in trending or expansion conditions • Not intended for low-volatility compression days • Always combine with higher timeframe bias and liquidity context
Indicador Pine Script®
por OutSkilledYa
1
ZUMIKO FX - EMA 9/21 + CCI | GOLD M1 PRO ⚡ ZUMIKO FX — EMA 9/21 + CCI Indicator | GOLD M1 PRO ═══════════════════════════════════════════════════════ A precision scalping indicator designed for Gold (XAUUSD) and crypto on the M1 timeframe. Combines EMA crossover signals with CCI momentum confirmation and automatic ATR-based risk management for clean, high-probability entries. ─────────────────────────────────────────────────────── 📌 HOW IT WORKS ─────────────────────────────────────────────────────── BUY signal (▲) triggers when ALL 3 conditions are met: ✅ EMA 9 crosses above EMA 21 (bullish crossover) ✅ CCI confirms bullish momentum (CCI > -100) ✅ Price is above EMA 200 (long-term trend filter) SELL signal (▼) triggers when ALL 3 conditions are met: ✅ EMA 9 crosses below EMA 21 (bearish crossover) ✅ CCI confirms bearish momentum (CCI < +100) ✅ Price is below EMA 200 (long-term trend filter) ─────────────────────────────────────────────────────── 📊 INDICATORS USED ─────────────────────────────────────────────────────── ▸ EMA 9 — fast moving average (price reaction) ▸ EMA 21 — slow moving average (direction confirmation) ▸ EMA 200 — long-term trend filter (optional, can be disabled) ▸ CCI 20 — Commodity Channel Index using hlc3 source (overbought / oversold / momentum strength) ─────────────────────────────────────────────────────── 🛡️ RISK MANAGEMENT (ATR-Based) ─────────────────────────────────────────────────────── Stop Loss and Take Profit are calculated automatically using ATR (Average True Range), adapting levels to current market volatility: Stop Loss = entry price ± ATR × 1.5 (default) Take Profit = entry price ± ATR × 3.0 (default) Risk/Reward = 1 : 2.0 Both ATR multipliers are fully adjustable in the indicator settings. ─────────────────────────────────────────────────────── 📋 INFORMATION DASHBOARD ─────────────────────────────────────────────────────── A dashboard table is displayed in the top-right corner showing: • Position — current status (LONG / SHORT / FLAT) • EMA 9/21 — crossover direction (Bullish / Bearish) • CCI — value + zone (dynamic color coding): 🟢 Green — ▲ MOMENTUM (0 to +100) → good BUY entry 🟠 Orange — OVERBOUGHT (+100 to +200) → caution 🔴 Red — EXTR. OVERBOUGHT (> +200) → avoid BUY 🟥 Salmon — ▼ MOMENTUM (-100 to 0) → good SELL entry 🟩 Light green — OVERSOLD (-200 to -100) → possible bounce ⬜ White — EXTR. OVERSOLD (< -200) → avoid SELL • ATR — current market volatility • Stop Loss — SL level for open position • Take Profit — TP level for open position • Risk/Reward — risk to reward ratio ─────────────────────────────────────────────────────── 🔔 CCI PANEL (lower chart) ─────────────────────────────────────────────────────── A separate CCI indicator displayed as a lower panel: ▸ CCI line changes color dynamically based on current zone ▸ ▲ B / ▼ S signals fully synchronized with the main indicator ▸ Small triangles — CCI zone exit only (earlier warning signal) ▸ Filled zones: red (overbought) / green (oversold) ─────────────────────────────────────────────────────── ⚙️ ADJUSTABLE SETTINGS ─────────────────────────────────────────────────────── EMA Fast — default 9 (fast moving average) EMA Slow — default 21 (slow moving average) EMA Trend Filter — default 200 (trend filter, can be disabled) CCI Length — default 20 CCI Overbought — default +100 CCI Oversold — default -100 ATR Length — default 14 SL Multiplier — default 1.5 TP Multiplier — default 3.0 ─────────────────────────────────────────────────────── ⚠️ IMPORTANT NOTES ─────────────────────────────────────────────────────── • Works best on M1 and M5 timeframes • Recommended instruments: XAUUSD (Gold), BTCUSD, indices • Past performance does not guarantee future results • Always apply your own risk management rules • This is not financial advice — trade at your own risk ─────────────────────────────────────────────────────── 👤 AUTHOR ─────────────────────────────────────────────────────── Indicator created by ZUMIKO FX Questions and suggestions? Drop them in the comments below 👇 If you find this indicator useful — please leave a ⭐ and share it!
Indicador Pine Script®
por kodik19788
ORB Scalper Pro (9:30 NY)ORB Scalper Pro is a comprehensive Opening Range Breakout indicator designed for intraday scalpers, optimized for the 9:30–10:30 AM NY session window. Works on equities, ETFs, and futures (ES, NQ, MES, MNQ). FEATURES • ORB High/Low tracked live from the 9:30 opening range (configurable window) • Visual ORB formation box with range size label • 1× and 2× extension targets (measured move projections) • ORB Midline for gauging breakout strength • RTH VWAP (resets at 9:30 AM — accurate for futures) • EMA 9 / EMA 21 trend filter • Prior Day High / Low levels SIGNAL TYPES • Break signals — confirmed close above/below ORB High/Low • Retest signals — pullback to ORB level after confirmed break • Failed ORB / Fade signals — breakout reversal trap setups • All signals include SL and TP levels based on ORB range multiples SETUP GRADING (A+ / A / B / C) Every signal is automatically scored out of 7 points: +2 RTH VWAP alignment +1 Volume boost (above average) +1 Early break (before 10:00 AM) +1 Gap direction match +1 EMA 9/21 trend alignment +1 Normal ORB range size Grades: A+ = 6-7 pts | A = 4-5 | B = 2-3 | C = 0-1 SCORECARD TABLE Compact bottom-corner table showing last signal fired, score, and grade for both long and short — visible even on lower timeframes. ALERTS Six alert conditions: Break Long/Short, Retest Long/Short, Failed ORB Long/Short. DISCLAIMER For educational purposes only. Does not constitute financial advice. Trading involves substantial risk of loss. Past performance is not indicative of future results.
Indicador Pine Script®
por StonkTrader4
Institutional Dealer Exhaustion [Smart Edition]v1.1 in this chart, we see NASDAQ:NVDA reaching a state of extreme dispersion. Our Exhaustion Oscillator peaked , suggesting dealers were reaching their hedging limits, and will exhaust again very soon This technical 'Stand Down' aligned perfectly with the Institutional Liquidity Maps we tracking. When physics (exhaustion) meets structure (gamma walls), the probability of a mean-reversion move to the VWAP increases significantly.
Indicador Pine Script®
por GexPro
AG Pro Market Regime MeterOverview / What it does The AG Pro Market Regime Meter is a chart-first context and diagnostics tool designed to classify the current market environment. It evaluates price action across three separate dimensions: Trend Strength, Chop Risk, and Volatility. By providing an on-chart HUD (Heads-Up Display) and optional regime shift markers, it helps traders visualize whether the market is in a directional trend, a choppy range, or undergoing volatility expansion/contraction. Unique Edge Unlike traditional indicators that compress market context into a single oscillator line, this script isolates the three core pillars of market structure. It does not generate buy or sell signals. Instead, its unique edge lies in combining efficiency ratios, directional movement, and true range measurements to output a multi-axis regime classification. This prevents the blending of distinct market behaviors, allowing for clearer regime-based playbook selection. Methodology (Conceptual) The script processes market context through three distinct calculation engines: 1. Trend Strength: Blends a persistence measure (Efficiency Ratio calculating net movement vs. total movement) with normalized directional movement (ADX derived from DMI) to score directional structure. 2. Chop / Whipsaw Risk: Uses a Choppiness-style logic comparing the sum of True Range against the absolute High-Low range, inversely weighted with trend strength to assess fakeout probability. 3. Volatility Regime: Normalizes the current ATR percentage (ATR relative to close price) against a historical lookback window (default 100 periods) to classify structural expansion or contraction. The engine then outputs rule-based LOW/MID/HIGH threshold bands for each axis and generates a final heuristic Regime Summary. Signals and Alerts This script is a context tool and does not produce predictive trading signals or alerts. - Regime Shift Markers: The script plots optional visual markers on the chart when the heuristic Regime Summary changes (e.g., TREND to RANGE). - Confirmation: To prevent intrabar flickering, shift markers are evaluated and locked in strictly on confirmed bar closes. Anti-clutter algorithms (minimum bars apart, ATR-based offsets) are applied to keep the chart clean. How to Use Apply the indicator to evaluate if your intended trade setup matches the current market environment: 1. Trend HIGH + Chop LOW: Indicates structural direction. Favorable for trend-following logic and pullback entries. 2. Chop HIGH: Indicates elevated whipsaw probability. Warrants caution, size reduction, or mean-reversion tactics. 3. Volatility Check: High volatility suggests wider swings (requiring wider stops), while low volatility suggests contraction and potentially slower breakouts. 4. Use the HTF Peek row in the HUD to ensure the current timeframe regime aligns with the higher timeframe structure. Limitations and Transparency - This is strictly a contextual layer, not a standalone trading system. It does not provide entries or exits. - The LOW/MID/HIGH classifications are heuristic baseline measurements. They may require parameter tuning depending on the specific asset class, timeframe, and baseline volatility profile. - The HTF Peek row uses the request.security function. Depending on the current bar state, higher timeframe context data may fluctuate until the actual higher timeframe bar closes. Risk Disclosure Trading involves significant risk of capital loss. This script is provided strictly for educational and informational purposes and does not constitute financial or investment advice. Always evaluate liquidity, slippage, and your own account constraints, and employ strict risk management.
Indicador Pine Script®
por AGProLabs
Ultimate Institutional Levels -No lag, No repaint, High AccuracyNon-Repaint, No lag Pro Levels Dashboard – PDH/PDL, Pivots, Weekly, EMAs & VWAP. This script displays a professional levels dashboard combining: Previous Day High / Low Daily Pivot, R1, S1 Previous Week High / Low Daily EMA20, SMA50, SMA200 Intraday VWAP Real-time distance from current price It plots clean horizontal levels directly on the chart and generates a shaded, easy-to-read dashboard in the top-right corner. Designed for: Intraday traders Opening range traders Breakout traders Mean reversion setups Institutional level reaction plays This gives you a full “market map” in one glance — no more flipping timeframes. Day trader playbook (step by step) 1) Pre-market or 5–10 minutes before open Look at where price is relative to: PDH/PDL, Today Open, VWAP, EMA20, PW High/Low. Mark the “battle zones”: PDH / PDL = yesterday’s extremes (breakout + rejection magnets) Pivot / R1 / S1 = intraday reaction levels VWAP = institutional “fair value” line 2) Pick your bias (simple) Bullish bias if price is above VWAP and holding above Today Open. Bearish bias if price is below VWAP and failing under Today Open. Neutral/chop if price is whipsawing around VWAP (trade smaller or wait). 3) Trade the first 30–90 minutes (high probability setups) Use the levels as “if/then” triggers: A) Breakout play (trend day) If price reclaims PDH and holds it: Entry: on retest/hold of PDH Target 1: R1 Target 2: PW High (if strong trend) Invalidation: back below PDH B) Rejection play (fade) If price tags PDH (or PW High) and fails back below: Entry: after rejection (lower high / failure to reclaim) Target 1: Pivot Target 2: VWAP Invalidation: clean reclaim and hold above the level C) VWAP mean-reversion If price stretches away from VWAP into R1 or S1: Entry: when momentum stalls + returns inside the level Target: VWAP (first), then Pivot Invalidation: continuation through the level with strength 4) Use the “DIST” column as your risk sanity check Big DIST (far from VWAP/levels) = higher snapback risk. Small DIST (tight to level) = cleaner stop placement. 5) End-of-day plan (don’t improvise) If price closes above PDH / above VWAP, expect bullish follow-through (watch PW High next). If price closes below PDL / below VWAP, expect bearish follow-through (watch PW Low next). If it closes near VWAP, expect chop next day unless news catalysts. Swing trader playbook (step by step) 1) Use Daily timeframe first (10 minutes max) Your script gives you the core swing filters: SMA50 / SMA200 = big trend / regime EMA20 = swing trend guide PW High/Low = weekly structure 2) Define the regime (this is everything) Bull regime Price above SMA50 SMA50 rising Pullbacks respect EMA20 → Prioritize longs, avoid shorts Bear regime Price below SMA50 (and especially below SMA200) Rallies fail near EMA20 / SMA50 → Prioritize shorts/hedges, avoid longs 3) Swing entry triggers using your levels A) Pullback long (classic swing) Price in bull regime pulls back toward EMA20 or Pivot area Entry: first strong up day (or reclaim of EMA20) Stop: below recent swing low (or below EMA20 if tight) Target: PDH, then PW High, then new highs B) Breakout long Price consolidates under PW High Entry: breakout + daily close above PW High Stop: back below breakout level Target: measured move / next resistance (R1 can be a near-term guide) C) Breakdown short Price loses PW Low or PDL with momentum Entry: breakdown + failed retest Stop: above the level Target: next support zone (S1, then PW Low continuation) 4) Manage the trade with the dashboard Watch how far price is from EMA20 (too extended → don’t chase). Use PW levels for swing targets and risk management. Use SMA50 as a “line in the sand”: If long and price loses SMA50 → reduce risk / exit. 5) Weekly review (5 minutes on weekend) Where did SPY close relative to PW High/Low? Are we above or below SMA50/SMA200? That tells you the next week’s bias before Monday even starts. Quick “cheat rules” you can follow immediately Day trading Above VWAP + above Open = long bias Below VWAP + below Open = short bias PDH/PDL are breakout/reversal magnets R1/S1 are “reaction” zones, not automatic entries Swing trading Above SMA50 = long-first environment EMA20 pullbacks = preferred entries PW High/Low = best breakout/breakdown swing triggers ⚠️ Disclaimer This script is for educational and informational purposes only. It does not constitute financial advice, investment recommendation, or trading guidance. Trading involves risk, and past levels or reactions do not guarantee future results. Always perform your own analysis and risk management before entering any trade.
Indicador Pine Script®
por TrendRiderPro