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COT Index v.2COT Index v.2 Indicator ( fix for extreme values) 📊 Overview The COT (Commitment of Traders) Index Indicator transforms raw COT data into normalized indices ranging from 0-100, with extensions to 120 and -20 for extreme market conditions. This powerful tool helps traders analyze institutional positioning and market sentiment by tracking the net long positions of three key market participant groups. 🎯 What It Does This indicator converts weekly CFTC Commitment of Traders data into easy-to-read oscillator format, showing: Commercial Index (Blue Line) - Smart money/hedgers positioning NonCommercial Index (Orange Line) - Large speculators/funds positioning Nonreportable Index (Red Line) - Small traders positioning 📈 Key Features Smart Scaling Algorithm 0-100 Range: Normal market conditions based on recent price action 120 Level: Extreme bullish positioning (above historical maximum) -20 Level: Extreme bearish positioning (below historical minimum) Dual Time Frame Analysis Short Period (26 weeks default): For current market scaling Historical Period (156 weeks default): For extreme condition detection Flexible Data Sources Futures Only reports Futures and Options combined reports Automatic symbol detection with manual overrides for HG and LBR 🔧 Customizable Settings Data Configuration Adjustable lookback periods for both current and historical analysis Report type selection (Futures vs Futures & Options) Display Options Toggle individual trader categories on/off Customizable reference lines (overbought/oversold levels) Optional 0/100 boundary lines Adjustable line widths and colors Reference Levels Upper Bound: 120 (extreme bullish) Overbought: 80 (default) Midline: 50 (neutral) Oversold: 20 (default) Lower Bound: -20 (extreme bearish) 💡 Trading Applications Contrarian Signals High Commercial Index + Low NonCommercial Index = Potential bullish reversal Low Commercial Index + High NonCommercial Index = Potential bearish reversal Market Sentiment Analysis Track institutional vs retail positioning divergences Identify extreme market conditions requiring attention Monitor smart money accumulation/distribution patterns Confirmation Tool Use alongside technical analysis for trade confirmation Validate breakouts with positioning data Assess market structure changes 📊 Visual Elements Status Table: Displays current settings and symbol information Color-Coded Lines: Easy identification of each trader category Reference Levels: Clear overbought/oversold boundaries Extreme Indicators: Visual cues for unusual market conditions ⚠️ Important Notes COT data is released weekly on Fridays (Tuesday data) Best suited for weekly and daily timeframes Requires symbols with available CFTC data Works automatically for most futures contracts 🎯 Best Practices Use in conjunction with price action analysis Look for divergences between price and positioning Pay special attention to extreme readings (120/-20 levels) Consider all three indices together for complete market picture Allow for data lag (3-day delay from CFTC) This indicator is ideal for swing traders, position traders, and anyone interested in understanding the positioning dynamics of professional vs retail market participants.
Pine Script® indicator
by dragos_cocos_dev
3D Institutional Battlefield [SurgeGuru]Professional Presentation: 3D Institutional Flow Terrain Indicator Overview The 3D Institutional Flow Terrain is an advanced trading visualization tool that transforms complex market structure into an intuitive 3D landscape. This indicator synthesizes multiple institutional data points—volume profiles, order blocks, liquidity zones, and voids—into a single comprehensive view, helping you identify high-probability trading opportunities. Key Features 🎥 Camera & Projection Controls Yaw & Pitch: Adjust viewing angles (0-90°) for optimal perspective Scale Controls: Fine-tune X (width), Y (depth), and Z (height) dimensions Pro Tip: Increase Z-scale to amplify terrain features for better visibility 🌐 Grid & Surface Configuration Resolution: Adjust X (16-64) and Y (12-48) grid density Visual Elements: Toggle surface fill, wireframe, and node markers Optimization: Higher resolution provides more detail but requires more processing power 📊 Data Integration Lookback Period: 50-500 bars of historical analysis Multi-Source Data: Combine volume profile, order blocks, liquidity zones, and voids Weighted Analysis: Each data source contributes proportionally to the terrain height How to Use the Frontend 💛 Price Line Tracking (Your Primary Focus) The yellow price line is your most important guide: Monitor Price Movement: Track how the yellow line interacts with the 3D terrain Identify Key Levels: Watch for these critical interactions: Order Blocks (Green/Red Zones): When yellow price line enters green zones = Bullish order block When yellow price line enters red zones = Bearish order block These represent institutional accumulation/distribution areas Liquidity Voids (Yellow Zones): When yellow price line enters yellow void areas = Potential acceleration zones Voids indicate price gaps where minimal trading occurred Price often moves rapidly through voids toward next liquidity pool Terrain Reading: High Terrain Peaks: High volume/interest areas (support/resistance) Low Terrain Valleys: Low volume areas (potential breakout zones) Color Coding: Green terrain = Bullish volume dominance Red terrain = Bearish volume dominance Purple = Neutral/transition areas 📈 Volume Profile Integration POC (Point of Control): Automatically marks highest volume level Volume Bins: Adjust granularity (10-50 bins) Height Weight: Control how much volume affects terrain elevation 🏛️ Order Block Detection Detection Length: 5-50 bar lookback for block identification Strength Weighting: Recent blocks have greater impact on terrain Candle Body Option: Use full candles or body-only for block definition 💧 Liquidity Zone Tracking Multiple Levels: Track 3-10 key liquidity zones Buy/Sell Side: Different colors for bid/ask liquidity Strength Decay: Older zones have diminishing terrain impact 🌊 Liquidity Void Identification Threshold Multiplier: Adjust sensitivity (0.5-2.0) Height Amplification: Voids create significant terrain depressions Acceleration Zones: Price typically moves quickly through void areas Practical Trading Application Bullish Scenario: Yellow price line approaches green order block terrain Price finds support in elevated bullish volume areas Terrain shows consistent elevation through key levels Bearish Scenario: Yellow price line struggles at red order block resistance Price falls through liquidity voids toward lower terrain Bearish volume peaks dominate the landscape Breakout Setup: Yellow price line consolidates in flat terrain Minimal resistance (low terrain) in projected direction Clear path toward distant liquidity zones Pro Tips Start Simple: Begin with default settings, then gradually customize Focus on Yellow Line: Your primary indicator of current price position Combine Timeframes: Use the same terrain across multiple timeframes for confluence Volume Confirmation: Ensure terrain peaks align with actual volume spikes Void Anticipation: When price enters voids, prepare for potential rapid movement Order Blocks & Voids Architecture Order Blocks Calculation Trigger: Price breaks fractal swing points Bullish OB: When close > swing high → find lowest low in lookback period Bearish OB: When close < swing low → find highest high in lookback period Strength: Based on price distance from block extremes Storage: Global array maintains last 50 blocks with FIFO management Liquidity Voids Detection Trigger: Price gaps exceeding ATR threshold Bull Void: Low - high > (ATR200 × multiplier) Bear Void: Low - high > (ATR200 × multiplier) Validation: Close confirms gap direction Storage: Global array maintains last 30 voids Key Design Features Real-time Updates: Calculated every bar, not just on last bar Global Persistence: Arrays maintain state across executions FIFO Management: Automatic cleanup of oldest entries Configurable Sensitivity: Adjustable lookback periods and thresholds Scientific Testing Framework Hypothesis Testing Primary Hypothesis: 3D terrain visualization improves detection of institutional order flow vs traditional 2D charts Testable Metrics: Prediction Accuracy: Does terrain structure predict future support/resistance? Reaction Time: Faster identification of key levels vs conventional methods False Positive Reduction: Lower rate of failed breakouts/breakdowns Control Variables Market Regime: Trending vs ranging conditions Asset Classes: Forex, equities, cryptocurrencies Timeframes: M5 to H4 for intraday, D1 for swing Volume Conditions: High vs low volume environments Data Collection Protocol Terrain Features to Quantify: Slope gradient changes at price inflection points Volume peak clustering density Order block terrain elevation vs subsequent price action Void depth correlation with momentum acceleration Control Group: Traditional support/resistance + volume profile Experimental Group: 3D Institutional Flow Terrain Statistical Measures Signal-to-Noise Ratio: Terrain features vs random price movements Lead Time: Terrain formation ahead of price confirmation Effect Size: Performance difference between groups (Cohen's d) Statistical Power: Sample size requirements for significance Validation Methodology Blind Testing: Remove price labels from terrain screenshots Have traders identify key levels from terrain alone Measure accuracy vs actual price action Backtesting Framework: Automated terrain feature extraction Correlation with future price reversals/breakouts Monte Carlo simulation for significance testing Expected Outcomes If hypothesis valid: Significant improvement in level prediction accuracy (p < 0.05) Reduced latency in institutional level identification Higher risk-reward ratios on terrain-confirmed trades Research Questions: Does terrain elevation reliably indicate institutional interest zones? Are liquidity voids statistically significant momentum predictors? Does multi-timeframe terrain analysis improve signal quality? How does terrain persistence correlate with level strength? LuxAlgo BigBeluga hapharmonic
Pine Script® indicator
by SurgeGuru
2
MACD HTF Hardcoded (A/B Presets) + Regimes [CHE] MACD HTF Hardcoded (A/B Presets) + Regimes — Higher-timeframe MACD emulation with acceptance-based regime filter and on-chart diagnostics Summary This indicator emulates a higher-timeframe MACD directly on the current chart using two hardcoded preset families and a time-bucket mapping, avoiding cross-timeframe requests. It classifies four MACD regimes and applies an acceptance filter that requires several consecutive bars before a state is considered valid. A small dead-band around zero reduces noise near the axis. An on-chart table reports the active preset, the inferred time bucket, the resolved lengths, and the current regime. Pine version: v6 Overlay: false Primary outputs: MACD line, Signal line, Histogram columns, zero line, regime-change alert, info table Motivation: Why this design? Cross-timeframe indicators often rely on external timeframe requests, which can introduce repaint paths and added latency. This design provides a deterministic alternative: it maps the current chart’s timeframe to coarse higher-timeframe buckets and uses fixed EMA lengths that approximate those views. The dead-band suppresses flip-flops around zero, and the acceptance counter reduces whipsaw by requiring sustained agreement across bars before acknowledging a regime. What’s different vs. standard approaches? Baseline: Classical MACD with user-selected lengths on the same timeframe, or higher-timeframe MACD via cross-timeframe requests. Architecture differences: Hardcoded A and B length families with a bucket map derived from the chart timeframe. No `request.security`; all calculations occur on the current series. Regime classification from MACD and Histogram sign, gated by an acceptance count and a small zero dead-band. Diagnostics table for transparency. Practical effect: The MACD behaves like a slower, higher-timeframe variant without external requests. Regimes switch less often due to the dead-band and acceptance logic, which can improve stability in choppy sessions. How it works (technical) The script derives a coarse bucket from the chart timeframe using `timeframe.in_seconds` and maps it to preset-specific EMA lengths. EMAs of the source build MACD and Signal; their difference is the Histogram. Signs of MACD and Histogram define four regimes: strong bull, weak bull, strong bear, and weak bear. A small, user-defined band around zero treats values near the axis as neutral. An acceptance counter checks whether the same regime persisted for a given number of consecutive bars before it is emitted as the filtered regime. A single alert condition fires when the filtered regime changes. The histogram columns change shade based on position relative to zero and whether they are rising or falling. A persistent table object shows preset, bucket tag, resolved lengths, and the filtered regime. No cross-timeframe requests are used, so repaint risk is limited to normal live-bar movement; values stabilize on close. Parameter Guide Source — Input series for MACD — Default: Close — Using a smoother source increases stability but adds lag. Preset — A or B length family — Default: “3,10,16” — Switch to “12,26,9” for the classic family mapped to buckets. Table Position — Anchor for the info table — Default: Top right — Choose a corner that avoids covering price action. Table Size — Table text size — Default: Normal — Use small on dense charts, large for presentations. Dark Mode — Table theme — Default: Enabled — Match your chart background for readability. Show Table — Toggle diagnostics table — Default: Enabled — Disable for a cleaner pane. Zero dead-band (epsilon) — Noise gate around zero — Default: Zero — Increase slightly when you see frequent flips near zero. Acceptance bars (n) — Bars required to confirm a regime — Default: Three — Raise to reduce whipsaw; lower to react faster. Reading & Interpretation Histogram columns: Above zero indicates bullish pressure; below zero indicates bearish pressure. Darker shade implies the histogram increased compared with the prior bar; lighter shade implies it decreased. MACD vs. Signal lines: The spread corresponds to histogram height. Regimes: Strong bull: MACD above zero and Histogram above zero. Weak bull: MACD above zero and Histogram below zero. Strong bear: MACD below zero and Histogram below zero. Weak bear: MACD below zero and Histogram above zero. Table: Inspect active preset, bucket tag, resolved lengths, and the filtered regime number with its description. Practical Workflows & Combinations Trend following: Use strong bull to favor long exposure and strong bear to favor short exposure. Use weak states as pullback or transition context. Combine with structure tools such as swing highs and lows or a baseline moving average for confirmation. Exits and risk: In strong trends, consider exiting partial size on a regime downgrade to a weak state. In choppy sessions, increase the acceptance bars to reduce churn. Multi-asset / Multi-timeframe: Works on time-based charts across liquid futures, indices, currencies, and large-cap equities. Bucket mapping helps retain a consistent feel when moving from lower to higher timeframes. Behavior, Constraints & Performance Repaint/confirmation: No cross-timeframe requests; values can evolve intrabar and settle on close. Alerts follow your TradingView alert timing settings. Resources: `max_bars_back` is set to five thousand. Very large resolved lengths require sufficient history to seed EMAs; expect a warm-up period on first load or after switching symbols. Known limits: Dead-band and acceptance can delay recognition at sharp turns. Extremely thin markets or large gaps may still cause brief regime reversals. Sensible Defaults & Quick Tuning Start with preset “3,10,16”, dead-band near zero, and acceptance of three bars. Too many flips near zero: increase the dead-band slightly or raise the acceptance bars. Too sluggish in clean trends: reduce the acceptance bars by one. Too sensitive on fast lower timeframes: switch to the “12,26,9” preset family or raise the acceptance bars. Want less clutter: hide the table and keep the alert. What this indicator is—and isn’t This is a visualization and regime layer for MACD using higher-timeframe emulation and stability gates. It is not a complete trading system and does not generate position sizing or risk management. Use it with market structure, execution rules, and protective stops. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino
Pine Script® indicator
by chervolino
HTF Control Shift + FVG Interaction + Shift Lines ### 📘 **HTF Control Shift + FVG Interaction + Shift Lines** This indicator combines **Higher Timeframe Control Shift detection**, **Fair Value Gap (FVG) tracking**, and **Shift Line projection** into one complete structure-based trading toolkit. #### 🔍 **Features** * **Control Shift Detection:** Highlights bullish or bearish “Control Shift” candles based on wick/body ratios — showing where aggressive control transitions occur. * **Fair Value Gap Mapping:** Automatically detects and draws bullish or bearish FVGs on any chosen timeframe, with optional dynamic extension and mitigation tracking. * **Shift Line Projection:** Extends high and low lines from each Control Shift candle to visualize structure and potential continuation or rejection zones. * **Interaction Alerts:** Triggers alerts when: * A Bullish Control Shift interacts with a Bullish FVG * A Bearish Control Shift interacts with a Bearish FVG * Price breaks the high/low following an interaction * **Visual Highlights:** Colored FVG zones, labeled interactions, and diamond markers for easy visual confirmation of key reaction points. #### ⚙️ **How to Use** 1. Choose a **higher timeframe (HTF)** in settings (e.g., 15m, 1h, 4h). 2. Watch for **Control Shift candles** (yellow/orange bars) forming at or interacting with **FVG zones**. 3. A **Bullish Interaction + Break of High** often signals continuation. A **Bearish Interaction + Break of Low** may confirm rejection or trend reversal. 4. Use alerts to track live market structure shifts without constant chart watching. #### 🧠 **Purpose** Ideal for traders combining **Smart Money Concepts (SMC)** and **candle structure logic**, this tool visualizes where institutional aggression shifts align with **liquidity gaps** — helping anticipate **high-probability continuations or reversals**.
Pine Script® indicator
by samb817
3
Trend Duration Forecast [ChartPrime]⯁ OVERVIEW The Trend Duration Forecast indicator is designed to estimate the probable lifespan of a bullish or bearish trend. Using a Hull Moving Average (HMA) to detect directional shifts, it tracks the duration of each historical trend and calculates an average to forecast how long the current trend is statistically likely to continue. This allows traders to visualize both real-time trend strength and potential exhaustion zones with exceptional clarity. ⯁ KEY FEATURES Dynamic Trend Detection: Utilizes the Hull Moving Average to identify when price transitions into a new uptrend or downtrend. Trend Duration Counting: Measures the number of bars in each completed bullish and bearish phase to understand trend persistence. Forecast Projection: Automatically projects an estimated trend continuation line based on the average length of recent trends. Real-Time Updates: Continuously updates the “Real Length” label as the trend develops. Historical Data Table: Displays previous trend durations for both bullish and bearish cycles, along with their averages. Adaptive Sampling: Uses a customizable sample size to smooth out volatility in the forecast and provide statistically meaningful projections. Color-Based Clarity: Highlights uptrends in green and downtrends in orange for instant visual interpretation. ⯁ USAGE Use the Trend Detection Sensitivity setting to control how fast or slow the indicator reacts to trend changes — lower values increase responsiveness, while higher values smooth out noise. Compare the Real Length of the ongoing trend with the Probable Length forecast to estimate whether the move is nearing exhaustion. Observe the historical duration table to understand the average lifespan of trends in the current market structure. Use the color-coded HMA line and projection arrows to identify when momentum strength is fading and prepare for possible reversals. Ideal for swing or trend-following strategies where trend longevity is crucial to managing entries and exits effectively. ⯁ CONCLUSION The Trend Duration Forecast gives traders a quantitative edge by combining real-time trend tracking with statistical forecasting. It helps identify not only when a new trend begins, but also how long it’s likely to persist based on past market behavior. This indicator enhances timing precision for both entries and exits, supporting smarter trend-following decisions with clear, data-driven insights.
Pine Script® indicator
by ChartPrime
38
Zarks 4H Range, 15M Triggers Pt1HTF Dividers + 4H Candle Structure + CRT Reference Tool 🔹 Vertical Blue Lines → represent divisions of the 4-hour timeframe, helping you visually segment intraday structure into HTF blocks. Green Dotted Line → marks the High of each 4-hour interval. 🔵 Blue Dotted Line → shows the Open of that 4-hour interval. ⚫ Gray Dotted Line → displays the Close of that 4-hour interval. 🔴 Red Dotted Line → highlights the Low of that 4-hour interval. 💡 CRT Concepts (Candle Range Theory by Romeo TPT) CRT signals are not direct buy/sell signals ❌💰 — they serve as contextual reference points 🧭. A high-probability setup often appears when: A 4H sweep of a previous candle’s high occurs 🐢 (liquidity manipulation), Followed by a bearish 15-minute close, Targeting the 50% retracement of that 4H candle’s range 🎯. 📊 Use this tool to frame market structure across timeframes, align entries with liquidity events, and visualize when price may be expanding from or reverting to institutional reference points. This indicator is meant to be combined with vertical lines on the 15 min time frame at corresponding times example 1:45,4:45,9:45
Pine Script® indicator
by Alexubc323
Pullback Finder AutoPullback Finder Auto — Intraday Momentum Cooling Detector Pullback Finder Auto is designed to find stocks that have made a strong intraday run from the open and are now cooling off while still positive — the classic pullback zone where continuation entries often form. It automatically measures the percentage change from today’s open and highlights bars where: the stock has already run at least a chosen amount (for example +10 % above its open), and the current price is still up but within a defined pullback range (for example between +3 % and +8 % above the open). When those two conditions are met, you’ll see green graphics on your chart: Green triangle markers under the candle. Optionally, small green PB labels such as “PB 5.2 %” showing the exact percentage from open when the setup occurs. A green highlight in the sub‑window or line plot if you left the “Change from Open %” plot active. These are your visual cues that a pullback has formed — a stock that previously ran and is now pulling back while holding strength. How it works The script continuously monitors: • High % from Open = (high − open) / open × 100 • Current % from Open = (close − open) / open × 100 A “Pullback” condition triggers only if: the high % is greater than or equal to your minimum run threshold, and the current % sits between your minimum and maximum pullback percentages. When both are true, the indicator plots the green triangle and optional label. Default parameters Min Run % = 10 Min Current % = 3 Max Current % = 8 Session Start = 09:30 – 16:00 US Eastern All can be changed to fit different volatility levels. Lower values catch smaller moves; higher values restrict signals to explosive runners. Using it in real time During live trading, Pullback Finder Auto updates with each candle. When a bar first enters the target zone, a green triangle and PB label will appear immediately under that candle. These are dynamic: if price moves out of the valid zone on the same bar, the marker may disappear. You can create an alert on “Pullback Finder Auto – Pullback Candidate” to be notified whenever new triangles appear across your active symbols. This works on any timeframe: use shorter timeframes such as 1‑minute or 5‑minute charts for fast, intraday detection, use longer timeframes for a broader view of the day’s market structure. Using it on past data (scanning backwards) When you scroll back through history, past green triangles remain visible at every bar where the condition was true at that time. The PB labels next to those candles show exactly how far above the open the stock was trading during the historical setup. Use this for visual back‑testing: study how price reacted after these pullback points, adjust the thresholds, and refine your criteria for different markets. The grey or teal line under the chart (if enabled) shows the percent‑from‑open curve so you can see the full run‑and‑cool pattern leading into each triangle signal. If you convert the indicator into a strategy, the same condition becomes historical entry points you can test with the Strategy Tester. Summary 1. Pullback Finder Auto paints green triangles and PB labels whenever an intraday pullback fits your criteria. 2. It runs dynamically in real‑time and also preserves markers for historical review. 3. Adjust the thresholds to match volatility or timeframe. 4. Ideal for visual scanning, watchlist alerts, or integration into a lightweight screening strategy.
Pine Script® indicator
by UpNatem
Liquidity Swap Detector Ultimate - Cedric JeanjeanAdvanced Smart Money Concepts indicator designed to detect high-probability liquidity sweeps and institutional order flow reversals. This professional-grade tool combines multiple ICT (Inner Circle Trader) strategies to identify optimal entry points. ═══════════════════════════════════════════════════════ 📊 KEY FEATURES: ✅ Smart Swing Detection - Identifies confirmed swing highs and lows using adaptive lookback periods - Eliminates false signals through double-confirmation logic - Detects liquidity grabs at key market structure points ✅ Fair Value Gap (FVG) Analysis - Multi-timeframe FVG detection for enhanced accuracy - Filters imbalances by minimum size threshold - Combines current timeframe and higher timeframe FVGs ✅ Advanced Volatility Filter - ATR-based volatility analysis to avoid low-quality setups - Adjustable volatility threshold (default 0.35%) - Ensures entries during optimal market conditions ✅ Precision Signal Generation - LONG signals: Confirmed swing lows + FVG + volatility confirmation - SHORT signals: Confirmed swing highs + FVG + volatility confirmation - Clear visual markers with price labels ✅ Comprehensive Alert System - Three alert types: Simple, Detailed, JSON (for webhooks) - Separate LONG/SHORT alert controls - Compatible with MT5 integration via webhooks - TradingView native alertcondition support ✅ Professional Dashboard - Real-time ATR monitoring - Volatility percentage display - FVG status indicator - Alert status tracker ═══════════════════════════════════════════════════════ ⚙️ CUSTOMIZABLE PARAMETERS: 🔹 Lookback Swing (1-50): Defines swing detection sensitivity 🔹 ATR Multiplier: Controls wick filter strength 🔹 Volatility Filter: Minimum required market volatility (%) 🔹 FVG Filter: Minimum fair value gap size (%) 🔹 FVG Timeframe: Higher timeframe for multi-TF analysis 🔹 Visual Options: Toggle swing marks, FVG zones, labels 🔹 Alert Controls: Enable/disable LONG/SHORT notifications ═══════════════════════════════════════════════════════ 📈 HOW IT WORKS: 1. The indicator scans for confirmed swing points using a robust double-confirmation algorithm 2. Simultaneously analyzes Fair Value Gaps on both current and higher timeframes 3. Validates market volatility to ensure sufficient price movement 4. Generates precise entry signals when all conditions align 5. Triggers customizable alerts for instant notification ═══════════════════════════════════════════════════════ 🎯 BEST PRACTICES: - Use on liquid markets (Forex majors, indices, crypto) - Recommended timeframes: 15m, 1H, 4H - Combine with support/resistance for confirmation - Adjust lookback period based on market volatility - Test alert settings before live trading - Use JSON alerts for automated trading integration ═══════════════════════════════════════════════════════ ⚡ ALERT CONFIGURATION: 1. Click the Alert icon (bell) in TradingView 2. Select "Liquidity Swap Detector Ultimate - TITAN v6" 3. Choose your preferred alert condition: - LONG Signal: Only bullish setups - SHORT Signal: Only bearish setups - ANY Signal: All trading opportunities 4. Set expiration and notification preferences 5. For MT5 integration: Select "JSON" message type and configure webhook URL
Pine Script® indicator
by cedric66410
1
CHOCH + FVG Signals [30m Optimized]CHOCH + FVG Signals 🎯 What It Does: This script automatically scans your chart for high-probability Smart Money Concepts (SMC) setups based on two key institutional trading principles: Change of Character (CHOCH) – A shift in market structure signaling potential reversal Fair Value Gap (FVG) – An imbalance zone where price moved too fast, often acting as support/resistance When both conditions align, the script plots clear Buy (▲) and Sell (▼) signals directly on your chart — ideal for intraday trading on the 30-minute timeframe (but works on any timeframe). ✅ Key Features: 🔹 Visual Fair Value Gaps Green shaded zones = Bullish FVGs (potential support) Red shaded zones = Bearish FVGs (potential resistance) Toggle on/off in settings 🔹 Smart CHOCH Detection Detects breaks of recent swing highs/lows with proper context Avoids false signals by confirming prior price structure 🔹 Clear Trade Signals Green ▲ below bar = Buy signal (Bullish CHOCH + FVG confluence) Red ▼ above bar = Sell signal (Bearish CHOCH + FVG confluence) 🔹 Customizable Filters Option to require FVG for a signal (recommended for higher accuracy) Adjust sensitivity via swing detection settings (default optimized for 30m) 🔹 Alert-Ready Built-in alert conditions for instant notifications on TradingView mobile/desktop ⚙️ How to Use: Apply to a 30-minute chart (e.g., EURUSD, Gold, NAS100, BTC) Wait for at least 50–100 bars to load (so swing points appear) Look for: A green triangle (▲) → consider long entry near FVG support A red triangle (▼) → consider short entry near FVG resistance Confirm with price action: Wait for a strong candle close or rejection at the FVG zone Use stop-loss below/above the FVG and target recent liquidity pools 💡 Pro Tip: Best used during high-volume sessions (e.g., London Open 7–10 AM UTC, NY Open 12:30–3:30 PM UTC). 🛠️ Settings (Inputs): Show Fair Value Gaps ✅ Enabled Visualize FVG zones Max FVG History 100 bars Prevent chart clutter Require FVG for Signal? ✅ Enabled Higher-quality setups (disable to test CHOCH-only) ⚠️ Important Notes: This is a signal generator, not financial advice. Always manage risk. Works best in trending or breaking markets — avoid during low-volatility ranges. FVGs may get filled (tested) before price continues — patience improves results. Backtest on historical data before live trading. 📣 Ideal For: Retail traders learning Smart Money Concepts (SMC) Price action traders seeking institutional-level confluence Intraday scalpers & swing traders on 30m–1H timeframes
Pine Script® indicator
by Spoiltbrat
LANZ Origins🔷 LANZ Origins – Multi-Framework Liquidity, Structure & Risk Management Overlay LANZ Origins is an advanced multi-framework visualization toolkit that unifies key institutional concepts into one efficient interface. Designed for professional traders, it merges session mapping, liquidity analysis, imbalance detection, multi-account risk control, and higher-timeframe candle tracing — all in a single overlay. 🧩 Core Components 🈵 Asian Range Liquidity Automatically detects and projects the Asian session range (19:00–02:00 NY) with an optional mid-price line (50 %). This provides visual context for intraday liquidity and manipulation zones commonly referenced in ICT-style analysis. 📊 Imbalance Detector Highlights Fair Value Gaps (FVG), Opening Gaps (OG), and Volume Imbalances (VI) directly on-chart, using separate color schemes for bullish and bearish inefficiencies. Each element can be customized by width, ATR filter, and extension length. 🕯️ Higher-Timeframe Candles (ICT Style) Displays multi-timeframe candles (HTF1–HTF6) simultaneously — e.g., 5 m, 30 m, 1 h, 4 h, 1 D, 1 W — each rendered with independent wick, border, and fill settings. Includes remaining-time counters, timeframe labels, and optional imbalance shading between bodies. 📈 Market Structure (ZigZag 30 m) Replicates 30-minute swing structure to all active timeframes, producing dynamic pivots with live extension. Ideal for contextualizing BOS/CHoCH events across multiple scales. 💸 Multi-Account Lot Size Panel Calculates position size for up to five accounts simultaneously, using your defined capital, risk %, and fixed SL distance (in pips). Results appear in a clean table at the bottom-right corner of the chart. 🎨 Session Visualization Colored backgrounds mark key trading phases: 🟢 Day division 🔴 No-action zone 🔵 Kill-zone 🟡 Hold session ⚙️ Customization & Performance Every module can be toggled individually, with full color, opacity, and style control. The script is optimized for overlay use and supports up to 500 boxes, lines, and labels with efficient resource handling. 🧠 Best Use Case LANZ Origins is ideal for traders who follow: Smart Money Concepts / ICT methodology Liquidity & Imbalance-based trading Multi-timeframe confluence setups Risk-based position sizing workflows Use it to observe how price interacts with liquidity pools, higher-timeframe candles, and imbalances within key sessions — while monitoring lot size risk in real time. 📌 Recommended Setup Timeframes: 30m - 5m – 3m Pairs: FX Session Timezone: New York (EST/EDT) Combine with: LANZ Strategy series for execution and journaling 💬 Note This indicator does not generate buy/sell signals. It’s a visual and analytical tool built to support your own decision-making process.
Pine Script® indicator
by rau_u_lanz
Swing Points LiquiditySwing Points Liquidity Unlock advanced swing detection and liquidity zone marking for smarter trading decisions. Overview: Swing Points Liquidity automatically identifies key swing highs and swing lows using a five-candle “palm” structure, marking each significant price turn with precise labels: “BSL swing high” for potential bearish liquidity and “SSL swing low” for potential bullish liquidity. This transparent swing logic provides a robust way to highlight areas where price is most likely to react—making it an invaluable tool for traders applying Smart Money Concepts, supply and demand, or liquidity-based strategies. How It Works: The indicator scans every candle on your chart to detect and label swing highs and lows. A swing high (“BSL swing high”) is identified when a central candle’s high is greater than the highs of the previous two and next two candles. A swing low (“SSL swing low”) is identified when a central candle’s low is lower than the lows of the previous two and next two candles. Labels are plotted for every detected swing point, providing clear visualization of important market liquidity levels on any symbol and timeframe. How to Use: Liquidity levels marked by the indicator are potential price reversal zones. To optimize your entries, combine these levels with confirmation signals such as reversal candlestick patterns, order blocks, or fair value gaps (FVGs). When you see a “BSL swing high” or “SSL swing low” label, observe the price action at that area—if a reliable reversal pattern or order block/FVG forms, it can signal a high-probability trade opportunity. These marked liquidity swings are also excellent for locating confluence zones, setting stop losses, and identifying where institutional activity or smart money may trigger significant moves. Always use market structure and price action in conjunction with these levels for greater consistency and confidence in your trading. Features: Customizable label display for swing highs (BSL) and swing lows (SSL) Automatic detection using robust 5-candle palm logic Works with all symbols and chart timeframes Lightweight, clear visual style—easy for manual and algorithmic traders Notes: The indicator requires at least two candles both before and after each swing point, so labels will start appearing after enough historical data is loaded. For deeper historical analysis, simply scroll left or zoom out on your chart to load more candles—the indicator will automatically process and display swing points on all available data.
Pine Script® indicator
by BuvaneshPalanisamy
TradeVision Pro - Multi-Factor Analysis System═══════════════════════════════════════════════════════════════════ TRADEVISION PRO - MULTI-FACTOR ANALYSIS SYSTEM Created by Zakaria Safri ═══════════════════════════════════════════════════════════════════ A comprehensive technical analysis tool combining multiple factors for signal generation, trend analysis, and dynamic risk management visualization. Designed for educational purposes to study multi-factor convergence trading strategies across all markets and timeframes. ⚠️ IMPORTANT DISCLAIMER: This indicator is provided for EDUCATIONAL and INFORMATIONAL purposes only. It does NOT constitute financial advice, investment advice, or trading advice. Past performance does not guarantee future results. Trading involves substantial risk of loss. Always do your own research and consult a financial advisor before making trading decisions. 🎯 KEY FEATURES ═══════════════════════════════════════════════════════════════════ ✅ MULTI-FACTOR SIGNAL GENERATION • Price Volume Trend (PVT) analysis • Rate of Change (ROC) momentum confirmation • Volume-Weighted Moving Average (VWMA) trend filter • Simple Moving Average (SMA) price smoothing • Signals only when all factors align ✅ DYNAMIC RISK VISUALIZATION (Educational Only) • ATR-based stop loss calculation • Risk-reward based take profit levels (1-5 targets) • Visual lines and labels showing entry, SL, and TPs • Automatically adapts to market volatility • ⚠️ VISUAL REFERENCE ONLY - Does not execute trades ✅ SUPPORT & RESISTANCE DETECTION • Automatic pivot-based level identification • Red dashed lines for resistance zones • Green dashed lines for support areas • Helps identify key price levels ✅ VWMA TREND BANDS • Volume-weighted moving average with standard deviation • Color-changing bands (Green = Uptrend, Red = Downtrend) • Filled band area for easy visualization • Volume-confirmed trend strength ✅ TREND DETECTION SYSTEM • Counting-based trend confirmation • Three states: Up Trend, Down Trend, Ranging • Requires threshold of consecutive bars • Independent trend validation ✅ PRICE RANGE VISUALIZATION • High/Low range lines showing market structure • Filled area highlighting price volatility • Helps identify breakout zones ✅ COMPREHENSIVE INFO TABLE • Real-time trend status • Last signal type (BUY/SELL) • Entry price display • Stop loss level • All active take profit levels • Clean, professional layout ✅ OPTIONAL FEATURES • Bar coloring by trend direction • Customizable alert notifications • Toggle visibility for all components • Fully configurable parameters 📊 HOW IT WORKS ═══════════════════════════════════════════════════════════════════ SIGNAL METHODOLOGY: BUY SIGNAL generates when ALL conditions are met: • Smoothed price > Moving Average (upward price trend) • PVT > PVT Average (volume supporting uptrend) • ROC > 0 (positive momentum) • Close > VWMA (above volume-weighted average) SELL SIGNAL generates when ALL conditions are met: • Smoothed price < Moving Average (downward price trend) • PVT < PVT Average (volume supporting downtrend) • ROC < 0 (negative momentum) • Close < VWMA (below volume-weighted average) This multi-factor approach filters out weak signals and waits for strong convergence before generating alerts. RISK CALCULATION: Stop Loss = Entry ± (ATR × SL Multiplier) • Uses Average True Range for volatility measurement • Automatically adjusts to market conditions Take Profit Levels = Entry ± (Risk Distance × TP Multiplier × Level) • Risk Distance = |Entry - Stop Loss| • Creates risk-reward based targets • Example: TP Multiplier 1.0 = 1:1, 2:2, 3:3 risk-reward ⚠️ NOTE: All risk levels are VISUAL REFERENCES for educational study. They do not execute trades automatically. ⚙️ SETTINGS GUIDE ═══════════════════════════════════════════════════════════════════ SIGNAL SETTINGS: • Signal Length (14): Main calculation period for averages • Smooth Length (8): Price data smoothing period • PVT Length (14): Price Volume Trend calculation period • ROC Length (9): Rate of Change momentum period RISK MANAGEMENT (Visual Only): • ATR Length (14): Volatility measurement lookback • SL Multiplier (2.2): Stop loss distance (× ATR) • TP Multiplier (1.0): Risk-reward ratio per TP level • TP Levels (1-5): Number of take profit targets to display • Show TP/SL Lines: Toggle visual reference lines SUPPORT & RESISTANCE: • Pivot Lookback (10): Sensitivity for S/R detection • Show SR: Toggle support/resistance lines VWMA BANDS: • VWMA Length (20): Volume-weighted average period • Show Bands: Toggle band visibility TREND DETECTION: • Trend Threshold (5): Consecutive bars required for trend PRICE LINES: • Period (20): High/low calculation lookback • Show: Toggle price range visualization DISPLAY OPTIONS: • Signals: Show/hide BUY/SELL labels • Table: Show/hide information panel • Color Bars: Enable trend-based bar coloring ALERTS: • Enable: Activate alert notifications for signals 💡 USAGE INSTRUCTIONS ═══════════════════════════════════════════════════════════════════ RECOMMENDED APPROACH: • Works on all timeframes (1m to Monthly) • Suitable for all markets (Stocks, Forex, Crypto, etc.) • Best used with additional analysis and confirmation • Always practice proper risk management ENTRY STRATEGY: 1. Wait for BUY or SELL signal to appear 2. Check trend table for trend confirmation 3. Verify VWMA band color matches signal direction 4. Look for nearby support/resistance confluence 5. Consider entering on next candle open 6. Use visual SL level for risk management EXIT STRATEGY: 1. Use TP levels as potential exit zones 2. Consider scaling out at multiple TP levels 3. Exit on opposite signal 4. Adjust stops as trade progresses 5. Account for spread and slippage TREND TRADING: • "Up Trend" → Focus on BUY signals • "Down Trend" → Focus on SELL signals • "Ranging" → Wait for clear trend or use range strategies 🎨 VISUAL ELEMENTS ═══════════════════════════════════════════════════════════════════ • GREEN VWMA BANDS → Bullish trend indication • RED VWMA BANDS → Bearish trend indication • ORANGE DASHED LINE → Entry price reference • RED SOLID LINE → Stop loss level • GREEN DOTTED LINES → Take profit targets • RED DASHED LINES → Resistance levels • GREEN DASHED LINES → Support levels • GREY FILLED AREA → Price high/low range • GREEN BUY LABEL → Long signal • RED SELL LABEL → Short signal • BLUE INFO TABLE → Current trade details • GREEN/RED BARS → Trend direction (optional) ⚠️ IMPORTANT NOTES ═══════════════════════════════════════════════════════════════════ RISK WARNING: • Trading involves substantial risk of loss • You can lose more than your initial investment • Past performance does not guarantee future results • No indicator is 100% accurate • Always use proper position sizing • Never risk more than you can afford to lose EDUCATIONAL PURPOSE: • This tool is for learning and research • Not a complete trading system • Should be combined with other analysis • Requires interpretation and context • Test thoroughly before live use • Consider consulting a financial advisor TECHNICAL LIMITATIONS: • Signals lag price action (all indicators lag) • False signals occur in choppy markets • Works better in trending conditions • Support/resistance levels are approximate • TP/SL levels are suggestions, not guarantees 📚 METHODOLOGY ═══════════════════════════════════════════════════════════════════ This indicator combines established technical analysis concepts: • Price Volume Trend (PVT): Volume-weighted price momentum • Rate of Change (ROC): Momentum measurement • Volume-Weighted Moving Average (VWMA): Trend identification • Average True Range (ATR): Volatility measurement (J. Welles Wilder) • Pivot Points: Support/resistance detection All methods are based on publicly available technical analysis principles. No proprietary or "secret" algorithms are used. ⚖️ FULL DISCLAIMER ═══════════════════════════════════════════════════════════════════ LIABILITY: The creator (Zakaria Safri) assumes NO liability for: • Trading losses or damages of any kind • Loss of capital or profits • Incorrect signal interpretation • Technical issues, bugs, or errors • Any consequences of using this tool USER RESPONSIBILITY: By using this indicator, you acknowledge that: • You are solely responsible for your trading decisions • You understand the substantial risks involved • You will not hold the creator liable for losses • You will conduct your own research and analysis • You may consult a licensed financial professional • You are using this tool entirely at your own risk AS-IS PROVISION: This indicator is provided "AS IS" without warranty of any kind, express or implied, including but not limited to warranties of merchantability, fitness for a particular purpose, or non-infringement. The creator is not a registered investment advisor, financial planner, or broker-dealer. This tool is not approved or endorsed by any financial authority. 📞 ABOUT THE CREATOR ═══════════════════════════════════════════════════════════════════ Created by: Zakaria Safri Specialization: Technical analysis indicator development Focus: Multi-factor analysis, risk visualization, trend detection This is an educational tool designed to demonstrate technical analysis concepts and multi-factor signal generation methods. 📋 VERSION INFO ═══════════════════════════════════════════════════════════════════ Version: 1.0 Platform: TradingView Pine Script v5 License: Mozilla Public License 2.0 Creator: Zakaria Safri Year: 2024 ═══════════════════════════════════════════════════════════════════ Study Carefully, Trade Wisely, Manage Risk Properly TradeVision Pro - Educational Trading Tool Created by Zakaria Safri ═══════════════════════════════════════════════════════════════════
Pine Script® indicator
by zakariasafri47
12
ETH Smart Money Order Blocks Detector derek This script helps identify potential Order Blocks (institutional price zones) on the chart based on Breaks of Structure (BOS). It automatically highlights demand zones (green blocks) and supply zones (red blocks), making it easier to read institutional market flow. Ideal for traders using Smart Money Concepts (SMC) or market structure analysis. Compatible with any asset and timeframe. 🔹 Bullish OB = potential buy entry zone 🔹 Bearish OB = potential sell or resistance zone Author: Derek 🧠💹
Pine Script® indicator
by ropasvansofficial
Volume Rate of Change (VROC)# Volume Rate of Change (VROC) **What it is:** VROC measures the rate of change in trading volume over a specified period, typically expressed as a percentage. Formula: `((Current Volume - Volume n periods ago) / Volume n periods ago) × 100` ## **Obvious Uses** **1. Confirming Price Trends** - Rising VROC with rising prices = strong bullish trend - Rising VROC with falling prices = strong bearish trend - Validates that price movements have conviction behind them **2. Spotting Divergences** - Price makes new highs but VROC doesn't = weakening momentum - Price makes new lows but VROC doesn't = potential reversal **3. Identifying Breakouts** - Sudden VROC spikes often accompany legitimate breakouts from consolidation patterns - Helps distinguish real breakouts from false ones **4. Overbought/Oversold Conditions** - Extreme VROC readings (very high or very low) suggest exhaustion - Mean reversion opportunities when volume extremes occur --- ## **Non-Obvious Uses** **1. Smart Money vs. Dumb Money Detection** - Declining VROC during price rallies may indicate retail FOMO while institutions distribute - Rising VROC during selloffs with price stability suggests institutional accumulation **2. News Impact Measurement** - Compare VROC before/after earnings or announcements - Low VROC on "significant" news = market doesn't care (fade the move) - High VROC = genuine market reaction (respect the move) **3. Market Regime Changes** - Persistent shifts in average VROC levels can signal transitions between bull/bear markets - Declining baseline VROC over months = waning market participation/topping process **4. Intraday Liquidity Profiling** - VROC patterns across trading sessions identify best execution times - Avoid trading when VROC is abnormally low (wider spreads, poor fills) **5. Sector Rotation Analysis** - Compare VROC across sector ETFs to identify where capital is flowing - Rising VROC in defensive sectors + falling VROC in cyclicals = risk-off rotation **6. Options Expiration Effects** - VROC typically drops significantly post-options expiration - Helps avoid false signals from mechanically-driven volume changes **7. Algorithmic Activity Detection** - Unusual VROC patterns (regular spikes at specific times) may indicate algo programs - Can front-run or avoid periods of heavy algorithmic interference **8. Liquidity Crisis Early Warning** - Sharp, sustained VROC decline across multiple assets = liquidity withdrawal - Can precede market stress events before price volatility emerges **9. Cryptocurrency Wash Trading Detection** - Comparing VROC across exchanges for same asset - Discrepancies suggest artificial volume on certain platforms **10. Pair Trading Optimization** - Use relative VROC between correlated pairs - Enter when VROC divergence is extreme, exit when it normalizes The key to advanced VROC usage is context: combining it with price action, market structure, and other indicators rather than using it in isolation.
Pine Script® indicator
by needfulCheetah31773
Anchored VWAP Polyline [CHE] Anchored VWAP Polyline — Anchored VWAP drawn as a polyline from a user-defined bar count with last-bar updates and optional labels Summary This indicator renders an anchored Volume-Weighted Average Price as a continuous polyline starting from a user-selected anchor point a specified number of bars back. It accumulates price multiplied by volume only from the anchor forward and resets cleanly when the anchor moves. Drawing is object-based (polyline and labels) and updated on the most recent bar only, which reduces flicker and avoids excessive redraws. Optional labels mark the anchor and, conditionally, a delta label when the current close is below the historical close at the anchor offset. Motivation: Why this design? Anchored VWAP is often used to track fair value after a specific event such as a swing, breakout, or session start. Traditional plot-based lines can repaint during live updates or incur overhead when frequently redrawn. This implementation focuses on explicit state management, last-bar rendering, and object recycling so the line stays stable while remaining responsive when the anchor changes. The design emphasizes deterministic updates and simple session gating from the anchor. What’s different vs. standard approaches? Baseline: Classic VWAP lines plotted from session open or full history. Architecture differences: Anchor defined by a fixed bar offset rather than session or day boundaries. Object-centric drawing via `polyline` with an array of `chart.point` objects. Last-bar update pattern with deletion and replacement of the polyline to apply all points cleanly. Conditional labels: an anchor marker and an optional delta label only when the current close is below the historical close at the offset. Practical effect: You get a visually continuous anchored VWAP that resets when the anchor shifts and remains clean on chart refreshes. The labels act as lightweight diagnostics without clutter. How it works (technical) The anchor index is computed as the latest bar index minus the user-defined bar count. A session flag turns true from the anchor forward; prior bars are excluded. Two persistent accumulators track the running sum of price multiplied by volume and the running sum of volume; they reset when the session flag turns from false to true. The anchored VWAP is the running sum divided by the running volume whenever both are valid and the volume is not zero. Points are appended to an array only when the anchored VWAP is valid. On the most recent bar, any existing polyline is deleted and replaced with a new one built from the point array. Labels are refreshed on the most recent bar: A yellow warning label appears when there are not enough bars to compute the reference values. The anchor label marks the anchor bar. The delta label appears only when the current close is below the close at the anchor offset; otherwise it is suppressed. No higher-timeframe requests are used; repaint is limited to normal live-bar behavior. Parameter Guide Bars back — Sets the anchor offset in bars; default two hundred thirty-three; minimum one. Larger values extend the anchored period and increase stability but respond more slowly to regime changes. Labels — Toggles all labels; default enabled. Disable to keep the chart clean when using multiple instances. Reading & Interpretation The polyline represents the anchored VWAP from the chosen anchor to the current bar. Price above the line suggests strength relative to the anchored baseline; price below suggests weakness. The anchor label shows where the accumulation starts. The delta label appears only when today’s close is below the historical close at the offset; it provides a quick context for negative drift relative to that reference. A yellow message at the current bar indicates the chart does not have enough history to compute the reference comparison yet. Practical Workflows & Combinations Trend following: Anchor after a breakout bar or a swing confirmation. Use the anchored VWAP as dynamic support or resistance; look for clean retests and holds for continuation. Mean reversion: Anchor at a local extreme and watch for approaches back toward the line; require structure confirmation to avoid early entries. Session or event studies: Re-set the anchor around earnings, macro releases, or session opens by adjusting the bar offset. Combinations: Pair with structure tools such as swing highs and lows, or with volatility measures to filter chop. The labels can be disabled when combining multiple instances to maintain chart clarity. Behavior, Constraints & Performance Repaint and confirmation: The line is updated on the most recent bar only; historical values do not rely on future bars. Normal live-bar movement applies until the bar closes. No higher timeframe: There is no `security` call; repaint paths related to higher-timeframe lookahead do not apply here. Resources: Uses one polyline object that is rebuilt on the most recent bar, plus two labels when conditions are met. `max_bars_back` is two thousand. Arrays store points from the anchor forward; extremely long anchors or very long charts increase memory usage. Known limits: With very thin volume, the VWAP can be unavailable for some bars. Very large anchors reduce responsiveness. Labels use ATR for vertical placement; extreme gaps can place them close to extremes. Sensible Defaults & Quick Tuning Starting point: Bars back two hundred thirty-three with Labels enabled works well on many assets and timeframes. Too noisy around the line: Increase Bars back to extend the accumulation window. Too sluggish after regime changes: Decrease Bars back to focus on a shorter anchored period. Chart clutter with multiple instances: Disable Labels while keeping the polyline visible. What this indicator is—and isn’t This is a visualization of an anchored VWAP with optional diagnostics. It is not a full trading system and does not include entries, exits, or position management. Use it alongside clear market structure, risk controls, and a plan for trade management. It does not predict future prices. Inputs with defaults Bars back: two hundred thirty-three bars, minimum one. Labels: enabled or disabled toggle, default enabled. Pine version: v6 Overlay: true Primary outputs: one polyline, optional labels (anchor, conditional delta, and a warning when insufficient bars). Metrics and functions: volume, ATR for label offset, object drawing via polyline and chart points, last-bar update pattern. Special techniques: session gating from the anchor, persistent state, object recycling, explicit guards against unavailable values and zero volume. Compatibility and assets: Designed for standard candlestick or bar charts across liquid assets and common timeframes. Diagnostics: Yellow warning label when history is insufficient. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino
Pine Script® indicator
by chervolino
Fair Value Gaps by DGTFair Value Gaps A refined, multi-timeframe Fair Value Gap (FVG) detection tool that brings institutional imbalance zones to life directly on your chart. Designed for precision, it visualizes how price delivers into inefficiencies across chart, higher, and lower (intrabar) timeframes — offering a fluid, structural view of liquidity displacement and market flow. The script continuously tracks unfilled, partially repaired, and fully resolved imbalances, revealing where liquidity inefficiencies concentrate and where price may seek rebalancing. Overlapping zones naturally expose institutional footprints, potential liquidity targets, and key re-pricing regions within the broader market structure. KEY FEATURES ⯌ Multi-Timeframe Detection Detect and display FVGs from the current chart, higher timeframes (HTF), or lower timeframes (LTF) ⯌ Smart Fill Tracking Automatic real-time monitoring of each FVG’s fill progress with live percentage updates ⯌ Custom Fill Logic Choose your preferred definition of when a gap is considered filled: Any Touch Midpoint Reached Wick Sweep Body Beyond ⯌ Dynamic Labels & Tooltips Labels can be toggled on/off. Even when hidden, detailed tooltips remain available by hovering over the FVG midpoint. ⯌ Adaptive Lower-Timeframe Mode When set to “Auto,” the script intelligently selects the optimal lower timeframe based on the chart resolution. DISCLAIMER This script is intended for informational and educational purposes only. It does not constitute financial, investment, or trading advice. All trading decisions made based on its output are solely the responsibility of the user.
Pine Script® indicator
by dgtrd
35
T3 ATR [DCAUT]█ T3 ATR 📊 ORIGINALITY & INNOVATION The T3 ATR indicator represents an important enhancement to the traditional Average True Range (ATR) indicator by incorporating the T3 (Tilson Triple Exponential Moving Average) smoothing algorithm. While standard ATR uses fixed RMA (Running Moving Average) smoothing, T3 ATR introduces a configurable volume factor parameter that allows traders to adjust the smoothing characteristics from highly responsive to heavily smoothed output. This innovation addresses a fundamental limitation of traditional ATR: the inability to adapt smoothing behavior without changing the calculation period. With T3 ATR, traders can maintain a consistent ATR period while adjusting the responsiveness through the volume factor, making the indicator adaptable to different trading styles, market conditions, and timeframes through a single unified implementation. The T3 algorithm's triple exponential smoothing with volume factor control provides improved signal quality by reducing noise while maintaining better responsiveness compared to traditional smoothing methods. This makes T3 ATR particularly valuable for traders who need to adapt their volatility measurement approach to varying market conditions without switching between multiple indicator configurations. 📐 MATHEMATICAL FOUNDATION The T3 ATR calculation process involves two distinct stages: Stage 1: True Range Calculation The True Range (TR) is calculated using the standard formula: TR = max(high - low, |high - close |, |low - close |) This captures the greatest of the current bar's range, the gap from the previous close to the current high, or the gap from the previous close to the current low, providing a comprehensive measure of price movement that accounts for gaps and limit moves. Stage 2: T3 Smoothing Application The True Range values are then smoothed using the T3 algorithm, which applies six exponential moving averages in succession: First Layer: e1 = EMA(TR, period), e2 = EMA(e1, period) Second Layer: e3 = EMA(e2, period), e4 = EMA(e3, period) Third Layer: e5 = EMA(e4, period), e6 = EMA(e5, period) Final Calculation: T3 = c1×e6 + c2×e5 + c3×e4 + c4×e3 The coefficients (c1, c2, c3, c4) are derived from the volume factor (VF) parameter: a = VF / 2 c1 = -a³ c2 = 3a² + 3a³ c3 = -6a² - 3a - 3a³ c4 = 1 + 3a + a³ + 3a² The volume factor parameter (0.0 to 1.0) controls the weighting of these coefficients, directly affecting the balance between responsiveness and smoothness: Lower VF values (approaching 0.0): Coefficients favor recent data, resulting in faster response to volatility changes with minimal lag but potentially more noise Higher VF values (approaching 1.0): Coefficients distribute weight more evenly across the smoothing layers, producing smoother output with reduced noise but slightly increased lag 📊 COMPREHENSIVE SIGNAL ANALYSIS Volatility Level Interpretation: High Absolute Values: Indicate strong price movements and elevated market activity, suggesting larger position risks and wider stop-loss requirements, often associated with trending markets or significant news events Low Absolute Values: Indicate subdued price movements and quiet market conditions, suggesting smaller position risks and tighter stop-loss opportunities, often associated with consolidation phases or low-volume periods Rapid Increases: Sharp spikes in T3 ATR often signal the beginning of significant price moves or market regime changes, providing early warning of increased trading risk Sustained High Levels: Extended periods of elevated T3 ATR indicate sustained trending conditions with persistent volatility, suitable for trend-following strategies Sustained Low Levels: Extended periods of low T3 ATR indicate range-bound conditions with suppressed volatility, suitable for mean-reversion strategies Volume Factor Impact on Signals: Low VF Settings (0.0-0.3): Produce responsive signals that quickly capture volatility changes, suitable for short-term trading but may generate more frequent color changes during minor fluctuations Medium VF Settings (0.4-0.7): Provide balanced signal quality with moderate responsiveness, filtering out minor noise while capturing significant volatility changes, suitable for swing trading High VF Settings (0.8-1.0): Generate smooth, stable signals that filter out most noise and focus on major volatility trends, suitable for position trading and long-term analysis 🎯 STRATEGIC APPLICATIONS Position Sizing Strategy: Determine your risk per trade (e.g., 1% of account capital - adjust based on your risk tolerance and experience) Decide your stop-loss distance multiplier (e.g., 2.0x T3 ATR - this varies by market and strategy, test different values) Calculate stop-loss distance: Stop Distance = Multiplier × Current T3 ATR Calculate position size: Position Size = (Account × Risk %) / Stop Distance Example: $10,000 account, 1% risk, T3 ATR = 50 points, 2x multiplier → Position Size = ($10,000 × 0.01) / (2 × 50) = $100 / 100 points = 1 unit per point Important: The ATR multiplier (1.5x - 3.0x) should be determined through backtesting for your specific instrument and strategy - using inappropriate multipliers may result in stops that are too tight (frequent stop-outs) or too wide (excessive losses) Adjust the volume factor to match your trading style: lower VF for responsive stop distances in short-term trading, higher VF for stable stop distances in position trading Dynamic Stop-Loss Placement: Determine your risk tolerance multiplier (typically 1.5x to 3.0x T3 ATR) For long positions: Set stop-loss at entry price minus (multiplier × current T3 ATR value) For short positions: Set stop-loss at entry price plus (multiplier × current T3 ATR value) Trail stop-losses by recalculating based on current T3 ATR as the trade progresses Adjust the volume factor based on desired stop-loss stability: higher VF for less frequent adjustments, lower VF for more adaptive stops Market Regime Identification: Calculate a reference volatility level using a longer-period moving average of T3 ATR (e.g., 50-period SMA) High Volatility Regime: Current T3 ATR significantly above reference (e.g., 120%+) - favor trend-following strategies, breakout trades, and wider targets Normal Volatility Regime: Current T3 ATR near reference (e.g., 80-120%) - employ standard trading strategies appropriate for prevailing market structure Low Volatility Regime: Current T3 ATR significantly below reference (e.g., <80%) - favor mean-reversion strategies, range trading, and prepare for potential volatility expansion Monitor T3 ATR trend direction and compare current values to recent history to identify regime transitions early Risk Management Implementation: Establish your maximum portfolio heat (total risk across all positions, typically 2-6% of capital) For each position: Calculate position size using the formula Position Size = (Account × Individual Risk %) / (ATR Multiplier × Current T3 ATR) When T3 ATR increases: Position sizes automatically decrease (same risk %, larger stop distance = smaller position) When T3 ATR decreases: Position sizes automatically increase (same risk %, smaller stop distance = larger position) This approach maintains constant dollar risk per trade regardless of market volatility changes Use consistent volume factor settings across all positions to ensure uniform risk measurement 📋 DETAILED PARAMETER CONFIGURATION ATR Length Parameter: Default Setting: 14 periods This is the standard ATR calculation period established by Welles Wilder, providing balanced volatility measurement that captures both short-term fluctuations and medium-term trends across most markets and timeframes Selection Principles: Shorter periods increase sensitivity to recent volatility changes and respond faster to market shifts, but may produce less stable readings Longer periods emphasize sustained volatility trends and filter out short-term noise, but respond more slowly to genuine regime changes The optimal period depends on your holding time, trading frequency, and the typical volatility cycle of your instrument Consider the timeframe you trade: Intraday traders typically use shorter periods, swing traders use intermediate periods, position traders use longer periods Practical Approach: Start with the default 14 periods and observe how well it captures volatility patterns relevant to your trading decisions If ATR seems too reactive to minor price movements: Increase the period until volatility readings better reflect meaningful market changes If ATR lags behind obvious volatility shifts that affect your trades: Decrease the period for faster response Match the period roughly to your typical holding time - if you hold positions for N bars, consider ATR periods in a similar range Test different periods using historical data for your specific instrument and strategy before committing to live trading T3 Volume Factor Parameter: Default Setting: 0.7 This setting provides a reasonable balance between responsiveness and smoothness for most market conditions and trading styles Understanding the Volume Factor: Lower values (closer to 0.0) reduce smoothing, allowing T3 ATR to respond more quickly to volatility changes but with less noise filtering Higher values (closer to 1.0) increase smoothing, producing more stable readings that focus on sustained volatility trends but respond more slowly The trade-off is between immediacy and stability - there is no universally optimal setting Selection Principles: Match to your decision speed: If you need to react quickly to volatility changes for entries/exits, use lower VF; if you're making longer-term risk assessments, use higher VF Match to market character: Noisier, choppier markets may benefit from higher VF for clearer signals; cleaner trending markets may work well with lower VF for faster response Match to your preference: Some traders prefer responsive indicators even with occasional false signals, others prefer stable indicators even with some delay Practical Adjustment Guidelines: Start with default 0.7 and observe how T3 ATR behavior aligns with your trading needs over multiple sessions If readings seem too unstable or noisy for your decisions: Try increasing VF toward 0.9-1.0 for heavier smoothing If the indicator lags too much behind volatility changes you care about: Try decreasing VF toward 0.3-0.5 for faster response Make meaningful adjustments (0.2-0.3 changes) rather than small increments - subtle differences are often imperceptible in practice Test adjustments in simulation or paper trading before applying to live positions 📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES Responsiveness Characteristics: The T3 smoothing algorithm provides improved responsiveness compared to traditional RMA smoothing used in standard ATR. The triple exponential design with volume factor control allows the indicator to respond more quickly to genuine volatility changes while maintaining the ability to filter noise through appropriate VF settings. This results in earlier detection of volatility regime changes compared to standard ATR, particularly valuable for risk management and position sizing adjustments. Signal Stability: Unlike simple smoothing methods that may produce erratic signals during transitional periods, T3 ATR's multi-layer exponential smoothing provides more stable signal progression. The volume factor parameter allows traders to tune signal stability to their preference, with higher VF settings producing remarkably smooth volatility profiles that help avoid overreaction to temporary market fluctuations. Comparison with Standard ATR: Adaptability: T3 ATR allows adjustment of smoothing characteristics through the volume factor without changing the ATR period, whereas standard ATR requires changing the period length to alter responsiveness, potentially affecting the fundamental volatility measurement Lag Reduction: At lower volume factor settings, T3 ATR responds more quickly to volatility changes than standard ATR with equivalent periods, providing earlier signals for risk management adjustments Noise Filtering: At higher volume factor settings, T3 ATR provides superior noise filtering compared to standard ATR, producing cleaner signals for long-term analysis without sacrificing volatility measurement accuracy Flexibility: A single T3 ATR configuration can serve multiple trading styles by adjusting only the volume factor, while standard ATR typically requires multiple instances with different periods for different trading applications Suitable Use Cases: T3 ATR is well-suited for the following scenarios: Dynamic Risk Management: When position sizing and stop-loss placement need to adapt quickly to changing volatility conditions Multi-Style Trading: When a single volatility indicator must serve different trading approaches (day trading, swing trading, position trading) Volatile Markets: When standard ATR produces too many false volatility signals during choppy conditions Systematic Trading: When algorithmic systems require a single, configurable volatility input that can be optimized for different instruments Market Regime Analysis: When clear identification of volatility expansion and contraction phases is critical for strategy selection Known Limitations: Like all technical indicators, T3 ATR has limitations that users should understand: Historical Nature: T3 ATR is calculated from historical price data and cannot predict future volatility with certainty Smoothing Trade-offs: The volume factor setting involves a trade-off between responsiveness and smoothness - no single setting is optimal for all market conditions Extreme Events: During unprecedented market events or gaps, T3 ATR may not immediately reflect the full scope of volatility until sufficient data is processed Relative Measurement: T3 ATR values are most meaningful in relative context (compared to recent history) rather than as absolute thresholds Market Context Required: T3 ATR measures volatility magnitude but does not indicate price direction or trend quality - it should be used in conjunction with directional analysis Performance Expectations: T3 ATR is designed to help traders measure and adapt to changing market volatility conditions. When properly configured and applied: It can help reduce position risk during volatile periods through appropriate position sizing It can help identify optimal times for more aggressive position sizing during stable periods It can improve stop-loss placement by adapting to current market conditions It can assist in strategy selection by identifying volatility regimes However, volatility measurement alone does not guarantee profitable trading. T3 ATR should be integrated into a comprehensive trading approach that includes directional analysis, proper risk management, and sound trading psychology. USAGE NOTES This indicator is designed for technical analysis and educational purposes. T3 ATR provides adaptive volatility measurement but has limitations and should not be used as the sole basis for trading decisions. The indicator measures historical volatility patterns, and past volatility characteristics do not guarantee future volatility behavior. Market conditions can change rapidly, and extreme events may produce volatility readings that fall outside historical norms. Traders should combine T3 ATR with directional analysis tools, support/resistance analysis, and other technical indicators to form a complete trading strategy. Proper backtesting and forward testing with appropriate risk management is essential before applying T3 ATR-based strategies to live trading. The volume factor parameter should be optimized for specific instruments and trading styles through careful testing rather than assuming default settings are optimal for all applications.
Pine Script® indicator
by DCAUT
Orderflow Label with OffsetThis Pine Script automatically displays orderflow labels on the chart to visualize the current market structure and potential breakout or reversal zones. It compares the current candle’s high and low with those of the previous cycle (e.g., 90 minutes) and places descriptive labels that highlight possible bullish or bearish behavior. Functionality & Logic (Step-by-step explanation) Inputs: cycleLength: Defines the duration of one “cycle” in minutes (for example, 90 minutes). labelXOffset: Moves the label a few bars to the right, so it doesn’t overlap the current candle. labelStyleOffset: Controls whether labels appear pointing to the right or left side of the chart. Previous Cycle: The script uses request.security to retrieve the high and low from the previous cycle timeframe. These act as reference points (similar to key levels or market structure highs/lows). Current Candle: The script reads the current bar’s high, low, and close values for comparison. Orderflow Conditions: bullSupport: The current high and close are both above the previous high → bullish breakout (strong continuation). bullReject: The high breaks above the previous high but closes below → bullish rejection / possible top. bearRes: The low and close are both below the previous low → bearish breakdown (continuation to downside). bearReclaim: The low goes below the previous low but closes above → bearish reclaim / possible reversal. Label Logic: Before creating a new label, the previous one is deleted (label.delete(flowLbl)) to avoid clutter. The label’s X position is shifted using xPos = bar_index + labelXOffset. The style (left/right) is set based on the user’s preference. Displayed Labels: 🟢 Bullish Breakout → price closes above the previous cycle high. 🟠 Bullish Rejection → fake breakout or possible top. 🔴 Bearish Breakdown → price closes below the previous cycle low. 🟡 Bearish Reclaim → failed breakdown or potential trend reversal. ⚪ Neutral (Wait) → no clear signal, advises patience and watching for setups (like CHoCH or FVGs). Visual Behavior: The labels appear slightly to the right of the bar for better visibility. The color and text alignment dynamically adjust depending on whether the label is pointing left or right.
Pine Script® indicator
by morris220768
Stochastic Enhanced [DCAUT]█ Stochastic Enhanced 📊 ORIGINALITY & INNOVATION The Stochastic Enhanced indicator builds upon George Lane's classic momentum oscillator (developed in the late 1950s) by providing comprehensive smoothing algorithm flexibility. While traditional implementations limit users to Simple Moving Average (SMA) smoothing, this enhanced version offers 21 advanced smoothing algorithms, allowing traders to optimize the indicator's characteristics for different market conditions and trading styles. Key Improvements: Extended from single SMA smoothing to 21 professional-grade algorithms including adaptive filters (KAMA, FRAMA), zero-lag methods (ZLEMA, T3), and advanced digital filters (Kalman, Laguerre) Maintains backward compatibility with traditional Stochastic calculations through SMA default setting Unified smoothing algorithm applies to both %K and %D lines for consistent signal processing characteristics Enhanced visual feedback with clear color distinction and background fill highlighting for intuitive signal recognition Comprehensive alert system covering crossovers and zone entries for systematic trade management Differentiation from Traditional Stochastic: Traditional Stochastic indicators use fixed SMA smoothing, which introduces consistent lag regardless of market volatility. This enhanced version addresses the limitation by offering adaptive algorithms that adjust to market conditions (KAMA, FRAMA), reduce lag without sacrificing smoothness (ZLEMA, T3, HMA), or provide superior noise filtering (Kalman Filter, Laguerre filters). The flexibility helps traders balance responsiveness and stability according to their specific needs. 📐 MATHEMATICAL FOUNDATION Core Stochastic Calculation: The Stochastic Oscillator measures the position of the current close relative to the high-low range over a specified period: Step 1: Raw %K Calculation %K_raw = 100 × (Close - Lowest Low) / (Highest High - Lowest Low) Where: Close = Current closing price Lowest Low = Lowest low over the %K Length period Highest High = Highest high over the %K Length period Result ranges from 0 (close at period low) to 100 (close at period high) Step 2: Smoothed %K Calculation %K = MA(%K_raw, K Smoothing Period, MA Type) Where: MA = Selected moving average algorithm (SMA, EMA, etc.) K Smoothing = 1 for Fast Stochastic, 3+ for Slow Stochastic Traditional Fast Stochastic uses %K_raw directly without smoothing Step 3: Signal Line %D Calculation %D = MA(%K, D Smoothing Period, MA Type) Where: %D acts as a signal line and moving average of %K D Smoothing typically set to 3 periods in traditional implementations Both %K and %D use the same MA algorithm for consistent behavior Available Smoothing Algorithms (21 Options): Standard Moving Averages: SMA (Simple): Equal-weighted average, traditional default, consistent lag characteristics EMA (Exponential): Recent price emphasis, faster response to changes, exponential decay weighting RMA (Rolling/Wilder's): Smoothed average used in RSI, less reactive than EMA WMA (Weighted): Linear weighting favoring recent data, moderate responsiveness VWMA (Volume-Weighted): Incorporates volume data, reflects market participation intensity Advanced Moving Averages: HMA (Hull): Reduced lag with smoothness, uses weighted moving averages and square root period ALMA (Arnaud Legoux): Gaussian distribution weighting, minimal lag with good noise reduction LSMA (Least Squares): Linear regression based, fits trend line to data points DEMA (Double Exponential): Reduced lag compared to EMA, uses double smoothing technique TEMA (Triple Exponential): Further lag reduction, triple smoothing with lag compensation ZLEMA (Zero-Lag Exponential): Lag elimination attempt using error correction, very responsive TMA (Triangular): Double-smoothed SMA, very smooth but slower response Adaptive & Intelligent Filters: T3 (Tilson T3): Six-pass exponential smoothing with volume factor adjustment, excellent smoothness FRAMA (Fractal Adaptive): Adapts to market fractal dimension, faster in trends, slower in ranges KAMA (Kaufman Adaptive): Efficiency ratio based adaptation, responds to volatility changes McGinley Dynamic: Self-adjusting mechanism following price more accurately, reduced whipsaws Kalman Filter: Optimal estimation algorithm from aerospace engineering, dynamic noise filtering Advanced Digital Filters: Ultimate Smoother: Advanced digital filter design, superior noise rejection with minimal lag Laguerre Filter: Time-domain filter with N-order implementation, adjustable lag characteristics Laguerre Binomial Filter: 6-pole Laguerre filter, extremely smooth output for long-term analysis Super Smoother: Butterworth filter implementation, removes high-frequency noise effectively 📊 COMPREHENSIVE SIGNAL ANALYSIS Absolute Level Interpretation (%K Line): %K Above 80: Overbought condition, price near period high, potential reversal or pullback zone, caution for new long entries %K in 70-80 Range: Strong upward momentum, bullish trend confirmation, uptrend likely continuing %K in 50-70 Range: Moderate bullish momentum, neutral to positive outlook, consolidation or mild uptrend %K in 30-50 Range: Moderate bearish momentum, neutral to negative outlook, consolidation or mild downtrend %K in 20-30 Range: Strong downward momentum, bearish trend confirmation, downtrend likely continuing %K Below 20: Oversold condition, price near period low, potential bounce or reversal zone, caution for new short entries Crossover Signal Analysis: %K Crosses Above %D (Bullish Cross): Momentum shifting bullish, faster line overtakes slower signal, consider long entry especially in oversold zone, strongest when occurring below 20 level %K Crosses Below %D (Bearish Cross): Momentum shifting bearish, faster line falls below slower signal, consider short entry especially in overbought zone, strongest when occurring above 80 level Crossover in Midrange (40-60): Less reliable signals, often in choppy sideways markets, require additional confirmation from trend or volume analysis Multiple Failed Crosses: Indicates ranging market or choppy conditions, reduce position sizes or avoid trading until clear directional move Advanced Divergence Patterns (%K Line vs Price): Bullish Divergence: Price makes lower low while %K makes higher low, indicates weakening bearish momentum, potential trend reversal upward, more reliable when %K in oversold zone Bearish Divergence: Price makes higher high while %K makes lower high, indicates weakening bullish momentum, potential trend reversal downward, more reliable when %K in overbought zone Hidden Bullish Divergence: Price makes higher low while %K makes lower low, indicates trend continuation in uptrend, bullish trend strength confirmation Hidden Bearish Divergence: Price makes lower high while %K makes higher high, indicates trend continuation in downtrend, bearish trend strength confirmation Momentum Strength Analysis (%K Line Slope): Steep %K Slope: Rapid momentum change, strong directional conviction, potential for extended moves but also increased reversal risk Gradual %K Slope: Steady momentum development, sustainable trends more likely, lower probability of sharp reversals Flat or Horizontal %K: Momentum stalling, potential reversal or consolidation ahead, wait for directional break before committing %K Oscillation Within Range: Indicates ranging market, sideways price action, better suited for range-trading strategies than trend following 🎯 STRATEGIC APPLICATIONS Mean Reversion Strategy (Range-Bound Markets): Identify ranging market conditions using price action or Bollinger Bands Wait for Stochastic to reach extreme zones (above 80 for overbought, below 20 for oversold) Enter counter-trend position when %K crosses %D in extreme zone (sell on bearish cross above 80, buy on bullish cross below 20) Set profit targets near opposite extreme or midline (50 level) Use tight stop-loss above recent swing high/low to protect against breakout scenarios Exit when Stochastic reaches opposite extreme or %K crosses %D in opposite direction Trend Following with Momentum Confirmation: Identify primary trend direction using higher timeframe analysis or moving averages Wait for Stochastic pullback to oversold zone (<20) in uptrend or overbought zone (>80) in downtrend Enter in trend direction when %K crosses %D confirming momentum shift (bullish cross in uptrend, bearish cross in downtrend) Use wider stops to accommodate normal trend volatility Add to position on subsequent pullbacks showing similar Stochastic pattern Exit when Stochastic shows opposite extreme with failed cross or bearish/bullish divergence Divergence-Based Reversal Strategy: Scan for divergence between price and Stochastic at swing highs/lows Confirm divergence with at least two price pivots showing divergent Stochastic readings Wait for %K to cross %D in direction of anticipated reversal as entry trigger Enter position in divergence direction with stop beyond recent swing extreme Target profit at key support/resistance levels or Fibonacci retracements Scale out as Stochastic reaches opposite extreme zone Multi-Timeframe Momentum Alignment: Analyze Stochastic on higher timeframe (4H or Daily) for primary trend bias Switch to lower timeframe (1H or 15M) for precise entry timing Only take trades where lower timeframe Stochastic signal aligns with higher timeframe momentum direction Higher timeframe Stochastic in bullish zone (>50) = only take long entries on lower timeframe Higher timeframe Stochastic in bearish zone (<50) = only take short entries on lower timeframe Exit when lower timeframe shows counter-signal or higher timeframe momentum reverses Zone Transition Strategy: Monitor Stochastic for transitions between zones (oversold to neutral, neutral to overbought, etc.) Enter long when Stochastic crosses above 20 (exiting oversold), signaling momentum shift from bearish to neutral/bullish Enter short when Stochastic crosses below 80 (exiting overbought), signaling momentum shift from bullish to neutral/bearish Use zone midpoint (50) as dynamic support/resistance for position management Trail stops as Stochastic advances through favorable zones Exit when Stochastic fails to maintain momentum and reverses back into prior zone 📋 DETAILED PARAMETER CONFIGURATION %K Length (Default: 14): Lower Values (5-9): Highly sensitive to price changes, generates more frequent signals, increased false signals in choppy markets, suitable for very short-term trading and scalping Standard Values (10-14): Balanced sensitivity and reliability, traditional default (14) widely used,适合 swing trading and intraday strategies Higher Values (15-21): Reduced sensitivity, smoother oscillations, fewer but potentially more reliable signals, better for position trading and lower timeframe noise reduction Very High Values (21+): Slow response, long-term momentum measurement, fewer trading signals, suitable for weekly or monthly analysis %K Smoothing (Default: 3): Value 1: Fast Stochastic, uses raw %K calculation without additional smoothing, most responsive to price changes, generates earliest signals with higher noise Value 3: Slow Stochastic (default), traditional smoothing level, reduces false signals while maintaining good responsiveness, widely accepted standard Values 5-7: Very slow response, extremely smooth oscillations, significantly reduced whipsaws but delayed entry/exit timing Recommendation: Default value 3 suits most trading scenarios, active short-term traders may use 1, conservative long-term positions use 5+ %D Smoothing (Default: 3): Lower Values (1-2): Signal line closely follows %K, frequent crossover signals, useful for active trading but requires strict filtering Standard Value (3): Traditional setting providing balanced signal line behavior, optimal for most trading applications Higher Values (4-7): Smoother signal line, fewer crossover signals, reduced whipsaws but slower confirmation, better for trend trading Very High Values (8+): Signal line becomes slow-moving reference, crossovers rare and highly significant, suitable for long-term position changes only Smoothing Type Algorithm Selection: For Trending Markets: ZLEMA, DEMA, TEMA: Reduced lag for faster trend entry, quick response to momentum shifts, suitable for strong directional moves HMA, ALMA: Good balance of smoothness and responsiveness, effective for clean trend following without excessive noise EMA: Classic choice for trending markets, faster than SMA while maintaining reasonable stability For Ranging/Choppy Markets: Kalman Filter, Super Smoother: Superior noise filtering, reduces false signals in sideways action, helps identify genuine reversal points Laguerre Filters: Smooth oscillations with adjustable lag, excellent for mean reversion strategies in ranges T3, TMA: Very smooth output, filters out market noise effectively, clearer extreme zone identification For Adaptive Market Conditions: KAMA: Automatically adjusts to market efficiency, fast in trends and slow in congestion, reduces whipsaws during transitions FRAMA: Adapts to fractal market structure, responsive during directional moves, conservative during uncertainty McGinley Dynamic: Self-adjusting smoothing, follows price naturally, minimizes lag in trending markets while filtering noise in ranges For Conservative Long-Term Analysis: SMA: Traditional choice, predictable behavior, widely understood characteristics RMA (Wilder's): Smooth oscillations, reduced sensitivity to outliers, consistent behavior across market conditions Laguerre Binomial Filter: Extremely smooth output, ideal for weekly/monthly timeframe analysis, eliminates short-term noise completely Source Selection: Close (Default): Standard choice using closing prices, most common and widely tested HLC3 or OHLC4: Incorporates more price information, reduces impact of sudden spikes or gaps, smoother oscillator behavior HL2: Midpoint of high-low range, emphasizes intrabar volatility, useful for markets with wide intraday ranges Custom Source: Can use other indicators as input (e.g., Heikin Ashi close, smoothed price), creates derivative momentum indicators 📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES Responsiveness Characteristics: Traditional SMA-Based Stochastic: Fixed lag regardless of market conditions, consistent delay of approximately (K Smoothing + D Smoothing) / 2 periods Equal treatment of trending and ranging markets, no adaptation to volatility changes Predictable behavior but suboptimal in varying market regimes Enhanced Version with Adaptive Algorithms: KAMA and FRAMA reduce lag by up to 40-60% in strong trends compared to SMA while maintaining similar smoothness in ranges ZLEMA and T3 provide near-zero lag characteristics for early entry signals with acceptable noise levels Kalman Filter and Super Smoother offer superior noise rejection, reducing false signals in choppy conditions by estimations of 30-50% compared to SMA Performance improvements vary by algorithm selection and market conditions Signal Quality Improvements: Adaptive algorithms help reduce whipsaw trades in ranging markets by adjusting sensitivity dynamically Advanced filters (Kalman, Laguerre, Super Smoother) provide clearer extreme zone readings for mean reversion strategies Zero-lag methods (ZLEMA, DEMA, TEMA) generate earlier crossover signals in trending markets for improved entry timing Smoother algorithms (T3, Laguerre Binomial) reduce false extreme zone touches for more reliable overbought/oversold signals Comparison with Standard Implementations: Versus Basic Stochastic: Enhanced version offers 21 smoothing options versus single SMA, allowing optimization for specific market characteristics and trading styles Versus RSI: Stochastic provides range-bound measurement (0-100) with clear extreme zones, RSI measures momentum speed, Stochastic offers clearer visual overbought/oversold identification Versus MACD: Stochastic bounded oscillator suitable for mean reversion, MACD unbounded indicator better for trend strength, Stochastic excels in range-bound and oscillating markets Versus CCI: Stochastic has fixed bounds (0-100) for consistent interpretation, CCI unbounded with variable extremes, Stochastic provides more standardized extreme readings across different instruments Flexibility Advantages: Single indicator adaptable to multiple strategies through algorithm selection rather than requiring different indicator variants Ability to optimize smoothing characteristics for specific instruments (e.g., smoother for crypto volatility, faster for forex trends) Multi-timeframe analysis with consistent algorithm across timeframes for coherent momentum picture Backtesting capability with algorithm as optimization parameter for strategy development Limitations and Considerations: Increased complexity from multiple algorithm choices may lead to over-optimization if parameters are curve-fitted to historical data Adaptive algorithms (KAMA, FRAMA) have adjustment periods during market regime changes where signals may be less reliable Zero-lag algorithms sacrifice some smoothness for responsiveness, potentially increasing noise sensitivity in very choppy conditions Performance characteristics vary significantly across algorithms, requiring understanding and testing before live implementation Like all oscillators, Stochastic can remain in extreme zones for extended periods during strong trends, generating premature reversal signals USAGE NOTES This indicator is designed for technical analysis and educational purposes to provide traders with enhanced flexibility in momentum analysis. The Stochastic Oscillator has limitations and should not be used as the sole basis for trading decisions. Important Considerations: Algorithm performance varies with market conditions - no single smoothing method is optimal for all scenarios Extreme zone signals (overbought/oversold) indicate potential reversal areas but not guaranteed turning points, especially in strong trends Crossover signals may generate false entries during sideways choppy markets regardless of smoothing algorithm Divergence patterns require confirmation from price action or additional indicators before trading Past indicator characteristics and backtested results do not guarantee future performance Always combine Stochastic analysis with proper risk management, position sizing, and multi-indicator confirmation Test selected algorithm on historical data of specific instrument and timeframe before live trading Market regime changes may require algorithm adjustment for optimal performance The enhanced smoothing options are intended to provide tools for optimizing the indicator's behavior to match individual trading styles and market characteristics, not to create a perfect predictive tool. Responsible usage includes understanding the mathematical properties of selected algorithms and their appropriate application contexts.
Pine Script® indicator
by DCAUT
GRG/RGR Signal, MA, Ranges and PivotsThis indicator is a combination of several indicators. It is a combination of two of my indicators which I solely use for trading 1. EMA 10-20-50-200, Pivots and Previous Day/Week/Month range 2. 3/4-Bar GRG / RGR Pattern (Conditional 4th Candle) You can use them individually if you already have some of them or just use this one. Belive me when I say, this is all you need, along with market structure knowlege and even if you don’t have that, this indicator has been doing wonders for me. This is all I use. I do not use anything else. **Note - Do checkout the indicators individually as I have added valuable information in the comment section. It contains the following, 1. 10 EMA/SMA - configurable 2. 20 EMA/SMA - configurable 3. 50 EMA/SMA - configurable 4. 200 EMA/SMA - configurable 5. Previous Day's Range - configurable 6. Previous Week's Range - configurable 7. Previous Month's Range - configurable 8. Pivots - configurable 9. Buy Sell Signal - configurable The Moving Averages It is a very important combination and using it correctly with price action will strengthen your entries and exits. The ema's or sma's added are the most powerful ones and they do definitely act as support and resistance. The Daily/Weekly/Monthly Ranges The Daily/Weekly/Monthly ranges are extremely important for any trader and should be used for targets and reversals. Pivots Pivots can provide support and resistance level. R5 and S5 can be used to check for over stretched conditions. You can customise them however you like. It is a full pivot indicator. It is defaulted to show R5 and S5 only to reduce noise in the chart but it can be customised. The 3/4 RGR or GRG Signal Generator Combined with a 3/4 RGR or GRG setup can be all a trader needs. You don't need complex strategies and SMC concepts to trade. Simple EMAs, ranges and RGR/GRG setup is the most winning combination. This indicator can be used to identify the Green-Red-Green or Red-Green-Red pattern. It is a price action indicator where a price action which identifies the defeat of buyers and sellers. If the buyers comprehensively defeat the sellers then the price moves up and if the sellers defeat the buyers then the price moves down. In my trading experience this is what defines the price movement. It is a 3 or 4 candle pattern, beyond that i.e, 5 or more candles could mean a very sideways market and unnecessary signal generation. How does it work? Upside/Green signal 1. Say candle 1 is Green, which means buyers stepped in, then candle 2 is Red or a Doji, that means sellers brought the price down. Then if candle 3 is forming to be Green and breaks the closing of the 1st candle and opening of the 2nd candle, then a green arrow will appear and that is the place where you want to take your trade. 2. Here the buyers defeated the sellers. 3. Sometimes candle 3 falls short but candle 4 breaks candle 1's closing and candle 2's opening price. We can enter on candle 4. 4. Important - We need to enter the trade as soon as the price moves above the candle 1 and 2's body and should not wait for the 3rd or 4th candle to close. Ignore wicks. 5. But for a more optimised entry I have added an option to use candle’s highs and lows instead of open and close. This reduces lot of noise and provides us with more precise entry. This setting is turned on by default. 6. I have restricted it to 4 candles and that is all that is needed. More than that is a longer sideways market. 7. I call it the +-+ or GRG pattern or Green-Red-Green or Buyer-Seller-Buyer or Seller defeated or just Buyer pattern. 8. Stop loss can be candle 2's mid for safe traders (that includes me) or candle 2's body low for risky traders. 9. Back testing suggests that body low will be useless and result in more points in loss because for the bigger move this point will not be touched, so why not get out faster. Downside/Red signal 1. Say candle 1 is Red, which means sellers stepped in, then candle 2 is Green or a Doji, that means buyers took the price up. Then if candle 3 is forming to be Red and breaks the closing of the 1st candle and opening of the 2nd candle then a Red arrow will appear and that is the place where you want to take your trade. 2. Sometimes candle 3 falls short but candle 4 breaks candle 1's closing and candle 2's opening price. We can enter on candle 4. 3. We need to enter the trade as soon as the price moves below the candle 1 and 2's body and should not wait for the 3rd or 4th candle to close. 4. But for a more optimised entry I have added an option to use candle’s highs and lows instead of open and close. This reduces lot of noise and provides us with more precise entry. This setting is turned on by default. 5. I have restricted it to 4 candles and that is all that is needed. More than that is a longer sideways market. 6. I call it the -+- or RGR pattern or Red-Green-Red or Seller-Buyer-Seller or Buyer defeated or just Seller pattern. 7. Stop loss can be candle 2's mid for safe traders ( that includes me) or candle 2's body high for risky traders. 8. Back testing suggests that body high will be useless and result in more points in loss because for the bigger move this point will not be touched, so why not get out faster. Combining Indicators and Signal Combining these indicators with GRG/RGR signal can be very powerful and can provide big moves. 1. MA crossover and Signal - This is very powerful and provides a very big move. Trades can be held for longer. If after taking the trade we notice that the MA crossover has happened then trades can be held for higher targets. 2. Pivots and Signal - Pivots and add a support or resistance point. Take profits on these points. R5/S5 are over streched conditions so we can start looking for reversal signals and ignore other signals 3. Intraday Range - first 1, 5, 15 min of the day - Sideways days is when price will stay in these ranges. You can take profits at these ranges or if the range is broken and we get a signal, then it can mean that the direction will be sustained. 4. Previous Day/Week/Month Ranges - These can be used as Take Profit points if the price is moving towards them after getting the signal. If the range is broken and we get a signal then it can be a strong signal. They can also be used as reversal points if a strong signal is generated. Important Settings 1. Include 4th Candle Confirmation - You can enable or disable the 4th candle signal to avoid the noise, but at times I have noticed that the 4th candle gives a very strong signal or I can say that the strong signal falls on the 4th candle. This is mostly a coincidence. 2. Bars to check (default 10) - You can also configure how many previous bars should the signal be generated for. 10 to 30 is good enough. To backtest increase it to 2000 or 5000 for example. 3. Use Candle High/Low for confirmation instead of Candle Open/Close - More optimized entry and noise reduction. This option is now defaulted to false. 4. Show Green-Red-Green (bull) signals - Show only bull entries. Useful when I have a predefined view i.e, I know market is going to go up today. 5. Show Red-Green-Red (bear) signals - Show only bear entries. Useful when I have a predefined view i.e, I know market is going to go down today. 6. 3rd candle should be a Strong candle before considering 4th candle - This will enforce additional logic in 4 candle setup that the 3rd candle is the candle in our direction of breakout. This means something like GRGG is mandatory, which is still the default behaviour. If disabled, the 3rd candle can be any candle and 4th candle will act as our breakout candle. This behaviour has led to breakouts and breakdowns as times, hence I added this as a separate feature. Vice-versa for a RGGR. For a 4 candle setup till now we were expecting GRGG or RGRR but we can let the system ignore the 3rd candle completely if needed. This will result in additional signals. 7. Three intraday ranges added for index and stock traders - 1 min, 5 min and 15 min ranges will be displayed. These are disabled by default except 15 min. These are very important ranges and in sideways days the price will usually move within the 15 min. A breakout of this range and a positive signal can be a very powerful setup. Safe traders can avoid taking a trade in this range as it can lead to fakeouts. The line style, width, color and opacity are configurable. Pointers/Golden Rules 1. If after taking the trade, the next candle moves in your direction and closes strong bullish or bearish, then move SL to break even and after that you can trail it. 2. If a upside trade hits SL and immediately a down side trade signal is generated on the next candle then take it. Vice versa is true. 3. Trades need to be taken on previous 2 candle's body high or low combined and not the wicks. 4. The most losses a trader takes is on a sideways day and because in our strategy the stop loss is so small that even on a sideways day we'll get out with a little profit or worst break even. 5. Hold trades for longer targets and don't panic. 6. If last 3-4 days have been sideways then there is a good probability that today will be trending so we can hold our trade for longer targets. Inverse is true when the market has been trending for 2-3 days then volatility followed by sideways is coming (DOW theory). Target to hold the trade for whole day and not exit till the day closes. 7. In general avoid trading in the middle of the day for index and stocks. Divide the day into 3 parts and avoid the middle. 8. Use Support/Resistance, 10, 20, 50, 200 EMA/SMA, Gaps, Whole/Round numbers(very imp) for identifying targets. 9. Trail your SL. 10. For indexes I would use 5 min and 15 min timeframe and at times 10 mins. 11. For commodities and crypto we can use higher timeframe as well. Look for signals during volatile time durations and avoid trading the whole day. Signal usually gives good targets on those times. 12. If a GRG or RGR pattern appears on a daily timeframe then this is our time to go big. 13. Minimum Risk to Reward should be 1:2 and for longer targets can be 1:4 to 1:10. 14. Trade with small lot size. Money management will happen automatically. 15. With small lot size and correct Risk-Reward we can be very profitable. Don't trade with big lot size. 16. Stay in the market for longer and collect points not money. 17. Very imp - Watch market and learn to generate a market view. 18. Very imp - Only 3 type of candles are needed in trading - Strong Bullish (Big Green candle), Strong Bearish (Big Red candle), Hammer (it is Strong Bullish), Inverse Hammer (it is Strong Bearish) and Doji (indecision or confusion). If on daily timeframe I see Strong Bullish candle previous day then I am biased to the upside the next day, if I see Strong Bearish candle the previous day then I am biased to the downside the next day, if I see Doji on the previous day then I am cautious the next day, if there are back to back Dojis forming in daily or weekly then I am preparing for big move so time to go big once I get the signal. 19. Most Important Candlestick pattern - Bullish and Bearish Engulfing 20. The only Chart patterns I need - 
 a) Falling Wedge/Channel Bullish Pattern Uptrend or Bull Flag - Buying - Forming over a couple days for intraday and forming over a couple of weeks for swing 
 b) Falling Wedge/Channel Bullish Pattern Downtrend or Falling Channel - Buying
 c) Rising Wedge Bearish Pattern Uptrend or Rising Channel - Selling
 d) Rising Wedge Bearish Pattern Downtrend or Bear flag - Selling e) Head and Shoulder - Over a longer period not for intraday. In 15 min takes few days and for swing 1hr or 4h or daily can take few days 
f) M and W pattern - Reversal Patterns - They form within the above 4 patterns, usually resulting in the break of trend line 21. How Gaps work - 
 a) Small Gap up in Uptrend - Market can fill the gap and reverse. The perception is that people are buying. If previous day candle was Strong Bullish then market view is up.
 b) Big Gap up in Uptrend - Not news driven - Profit booking will come but may not fill the entire gap
 c) Big Gap up in Uptrend - News driven, war related, tax, interest rate - Market can keep going up without stopping.
 c) Flat opening in Uptrend - Big chance of market going up. If previous day candle was Strong Bullish then view is upwards, if it was Doji then still upwards.
 d) Gap down in Uptrend - Market is surprised. After going down initially it can go up
 e) Small Gap down in Downtrend - Market can fill the gap and keep moving down. If previous day candle was Strong Bearish then view is still down.
 f) Flat opening in Downtrend - View is down, short today.
 g) Big Gap down in Downtrend - Profit booking and foolish buying will come but market view is still down.
 h) Gap down with News - Volatility, sideways then down. 
 i) Gap Up in Downtrend - Can move up - Price can move up during 2/3rd of the day and End of the day revert and close in red. 22. Go big on bearish days for option traders. Puts are better bought and Calls are better sold. 23. Cluster of green signals can lead to bigger move on the upside and vice versa for red signals. 24. Most of this is what I learned from successful traders (from the top 2%) only the indicator is mine.
Pine Script® indicator
by pranayjha
6
FVG Zones with Signals█ OVERVIEW "FVG Zones with Signals" is a technical analysis tool that identifies Fair Value Gaps (FVG) on the chart and draws customizable zones in the form of boxes. It is ideal for traders using price action and market structure strategies, helping to identify potential imbalance zones and trading opportunities based on breakout and exit signals. With flexible size filter settings, box styles, and signal options, the indicator ensures clarity and precision on the chart. █ CONCEPTS The indicator is designed to identify potential entry points for trades based on FVG breakouts or retests. For chart clarity, a size filter for FVGs is included, based on a multiplier of the average candle size over a specified period. Why are FVGs important? FVG zones represent areas of market imbalance, often attracting price back to "fill" the gap. Larger gaps (with a higher size multiplier) have a greater chance of being retested, as they indicate deeper imbalances—leaving more unexecuted orders in those zones, which attracts liquidity. Market makers and institutions often return to these levels to "refresh" liquidity before further moves. However, not every large FVG is retested quickly—in strong trends, smaller imbalances may be ignored, and the location (e.g., near swing highs/lows) is critical for retest probability. █ FEATURES - FVG Detection: Identifies bullish and bearish FVGs based on size filters (Candle Size Period and FVG Size Multiplier), with automatic initialization of historical gaps up to 500 candles back. - Customizable Boxes: Draws FVG boxes with adjustable border colors, background gradients, border styles (solid, dashed, dotted), border widths, and transparency for both the background and the 50% FVG midline. - Breakout and Exit Signals: Generates "Break" signals (green upward triangle for breakouts above bearish FVG, red downward triangle for breakouts below bullish FVG) and "Exit" signals (circles for exiting the zone), with options to select signal types (Break, Exit, or Both). A break signal causes the box to disappear, leaving a triangle as a trace of the breakout, which may serve as a signal to open a position. Exit signals (circles) may also indicate entry opportunities but require additional confirmation, such as alignment with the main trend. - Midline: Automatically draws a dashed line at the 50% FVG level with adjustable transparency, aiding in assessing price reactions within the zone. - Box Limitation: Automatically removes old or inactive FVGs after 500 candles to avoid chart clutter. - Alerts: Built-in alerts for all signal types, including price and FVG type descriptions. █ HOW TO USE Add to Chart: Apply the indicator to your TradingView chart via the Pine Editor or Indicators menu. Configure Settings: - FVG Settings: Adjust Candle Size Period (default 20) and FVG Size Multiplier (default 1) to filter out small gaps—higher values generate fewer but more significant FVGs. - Box Settings: Configure colors and styles for bullish (green) and bearish (red) boxes, including background transparency (default 80) and midline transparency. - Signal Settings: Select signal types (Break, Exit, or Both) in Signal Type. Breakout signals appear after a candle closes outside the zone, while exit signals appear when exiting an FVG without a full breakout. - Styling: Customize signal colors (green for buy/up, red for sell/down) and shape sizes. Interpreting Signals: - Break Up Signal: A green triangle below the bar indicates a breakout above a bearish FVG, suggesting potential continuation of an uptrend. - Break Down Signal: A red triangle above the bar indicates a breakout below a bullish FVG, suggesting potential continuation of a downtrend. - Exit Up/Down Signal: A green/red circle indicates an exit from an FVG without a full breakout, which may signal the end of a correction or preparation for a reversal. - FVG Zones: If the price returns to an FVG and fills the gap, it may indicate equilibrium; an unfilled gap often leads to a retest. - Use signals in conjunction with other technical analysis tools for confirmation, such as RSI (to identify overbought/oversold conditions) or MACD (to confirm momentum). Analyze FVGs from higher timeframes—these zones act as stronger imbalance levels and carry greater structural significance. Exit signals (retests without breakouts) tend to be most effective when traded in line with the current trend. █ APPLICATIONS - Price Action Trading: Use FVG zones as dynamic support and resistance levels. In an uptrend, look for buying opportunities in bullish FVGs, where price often tests the gap before continuing. Combining with RSI, MACD, or Fibonacci levels enhances the significance of zones. - Breakout Strategies: Trade based on breakout signals from FVGs. A buy signal after breaking a bearish FVG may indicate a strong upward impulse, especially when supported by a rising MACD or RSI exiting oversold conditions. Larger FVG gaps (higher multiplier) have a greater chance of retest, as they indicate deeper imbalances. █ NOTES - Test the indicator across different timeframes and markets (stocks, forex, crypto) to optimize size filters for your trading style. - The indicator initializes historical FVGs up to 500 candles back, which may slow loading on longer charts. - For best results, use on high-liquidity markets where FVGs are more frequently retested. - In consolidation zones, the indicator may generate more false signals, so additional confirmation is recommended.
Pine Script® indicator
by Uncle_the_shooter
FVG Scanner ProFVG Scanner Pro — Smart Fair Value Gap Detector (with HTF context & proximity alerts) What it does FVG Scanner Pro automatically finds Fair Value Gaps (FVGs) on your current chart and (optionally) on a higher timeframe (HTF), draws them as color-coded zones, and notifies you when price comes close to a gap boundary using an ADR-based proximity trigger and (optional) volume confirmation. It’s designed for ICT-style gap trading, confluence building, and clean visual execution. How it works: FVG definition * Bullish FVG (gap up): low > high (the current candle’s low is above the high 2 bars ago). * Bearish FVG (gap down): high < low (the current candle’s high is below the low 2 bars ago). * Gaps smaller than your Min FVG Size (%) are ignored. (Gap size = (top-bottom)/bottom * 100.) Higher-timeframe logic (auto-selected) The script auto picks a sensible HTF: 1–5m → 15m, 15m → 1H, 1H → 4H, 4H → 1D, 1D → 1W, 1W → 1M, small 1M → 3M, big ≥3M → 12M. You can display HTF FVGs and even filter so current-TF FVGs only show when they overlap an HTF gap. Proximity alerts (ADR-based) The script computes ADR on the current chart timeframe over a user-set lookback (default 20 bars). An alert fires when price moves toward the closest actionable boundary and comes within ADR × Multiplier: Bullish: price moving down, within distance of the bottom of a bullish FVG. Bearish: price moving up, within distance of the top of a bearish FVG. Yellow ▲/▼ markers show where a proximity alert triggered. Volume filter (optional) Require volume to be greater than SMA(20) × multiplier to accept a newly formed FVG. Lifecycle Each gap remains active for Extend FVG Box (Bars) bars. You can delete the box after fill, or keep filled gaps visible as gray zones, or hide them. Color legend Current-TF Bullish: Pink/Magenta box Current-TF Bearish: Cyan/Turquoise box HTF Bullish: Gold box HTF Bearish: Orange box Filled (if shown): Gray box Alert markers: Yellow ▲ (bullish), Yellow ▼ (bearish) Inputs (what to tweak) Show FVGs: Bullish / Bearish / Both Max Bars Back to Find FVG: collection window & cleanup guard Extend FVG Box (Bars): how long a zone stays tradable/active Min FVG Size (%): ignore micro gaps Delete Box After Fill & Show Filled FVGs: choose how you want completed gaps handled Show Alert Markers: show/hide the yellow proximity arrows Show Higher Timeframe FVG: overlay HTF gaps (auto TF) HTF Filter: only display current-TF gaps that overlap an HTF gap ADR Lookback & Proximity Multiplier: tune alert sensitivity to your market & timeframe Volume Filter & Volume > MA Multiple: require above-average volume for new gaps Built-in alerts (ready to use) Create alerts in TradingView (⚠️ “Once per bar” or “Once per bar close”, your choice) and select from: 🟢 Bullish FVG Proximity — price approaching a bullish gap bottom 🔴 Bearish FVG Proximity — price approaching a bearish gap top ✅ New Bullish FVG Formed ⚠️ New Bearish FVG Formed The alert messages include the symbol and price; proximity markers are also plotted on chart. Tips & best practices Use FVGs with market structure (break of structure, swing points), order blocks, or liquidity pools for confluence. On very low timeframes, raise Min FVG Size and/or lower Max Bars Back to reduce noise and keep things fast. Extend FVG Box controls how long a zone is considered valid; align it with your holding horizon (scalp vs swing). Information panel (top-right) Shows your mode, current HTF, number of gaps in memory, active bull/bear counts, and current-TF ADR.
Pine Script® indicator
by FYMDGLV