Inizia

Structure

Structure Delivery Radar [JOAT]Structure Delivery Radar Introduction SDR Structure Delivery Radar is an open-source market structure overlay that classifies short-term, intermediate-term, and long-term delivery using confirmed pivots, break events, sweep events, session position, and ATR compression. The indicator is designed as a structural context layer. It does not try to predict every candle. Instead, it tracks whether price is delivering through meaningful structure levels and whether multiple structure tiers are aligned. Core Concepts 1. Three-Tier Structure The script tracks ST, IT, and LT swing highs and lows from confirmed pivots. Each tier keeps its own bias state. 2. Confirmed Breaks A bullish break requires a confirmed close above the tracked swing high. A bearish break requires a confirmed close below the tracked swing low. 3. Sweep Detection The script recognizes when price trades beyond a swing level but closes back through it, marking potential liquidity behavior without using future bars. 4. Delivery Score The dashboard score blends structure alignment, break activity, sweep activity, session location, and ATR compression into a 0-100 reading. 5. Clean Structure Cloud The visual output uses transparent clouds and dashboard states rather than cluttered arrows or excessive labels. Features ST/IT/LT structure tracking: Three independent confirmed-pivot layers Break and sweep logic: Official events require confirmed bars Delivery score: Quantifies structure alignment and current delivery state Session cloud: Adds session range context Structure cloud: Shades the active upper/lower structure region Top-right dashboard: Shows tier bias, events, ranges, compression, ATR, and signal state Alerts: Includes bullish and bearish delivery confirmations Input Parameters Structure: ST Pivot Length IT Pivot Length LT Pivot Length ATR Length Session and Visuals: Use Session Window Show Session Cloud Show Structure Cloud Show Bias Tint Cloud and background transparency How to Use Step 1: Check whether the dashboard shows BULL, BEAR, or NEUT for the dominant structure state. Step 2: Read the delivery score. Higher scores indicate stronger alignment across the internal model. Step 3: Treat sweep events as context for failed breaks or liquidity reactions. Step 4: Use the structure cloud as a map of active structural boundaries. Limitations Pivot-based structure confirms after the pivot length has passed The score is a context reading, not a guarantee of trade outcome Compressed markets can delay structure continuation The script should be combined with risk management and execution rules Originality Statement SDR is an original JOAT implementation combining multi-tier confirmed structure, sweep recognition, session context, ATR compression, and a delivery score into one Pine Script v6 overlay. Disclaimer This script is for educational and informational purposes only. It is not financial advice and does not guarantee future results. Trading involves risk, and users should apply their own risk management. Made with passion by jackofalltrades
Indicatore Pine Script®
di officialjackofalltrades
Regime Execution Strategy [JOAT]Regime Execution Strategy Introduction Regime Execution Strategy is an open-source TradingView strategy that integrates adaptive forecast context, extreme-channel state, trend pressure, relative volume, and EMA structure into a single rule-based execution model. The strategy is designed to be realistic, non-repainting, and readable rather than curve-fit to one symbol. The problem it solves is trade filtering. A single signal source can trigger too often in poor conditions. Regime Execution Strategy requires multiple independent votes before entries are allowed, then uses ATR-based stop and target logic for consistent risk framing. Core Concepts 1. Adaptive Forecast Bias The strategy estimates a dynamic mean and band structure. Price above or below the adaptive mean contributes to directional bias. 2. Extreme Channel Bias Persistent upper and lower channel levels define a midpoint and directional state. The channel contributes a second independent vote. 3. Pressure and Structure Gate Momentum, pullback location, and fast/slow EMA structure contribute to the regime score. A minimum vote count and relative-volume filter are required before entry. longSignal = barstate.isconfirmed and bullVotes >= voteThreshold and bullRegime and (longBreakout or longReclaim) 4. ATR-Based Risk Management Stops and targets are derived from ATR and position average price. The strategy also includes max drawdown and max intraday filled order risk controls. Features Integrated regime detection: Forecast, channel, pressure, and EMA structure combine into a regime score Multi-vote entry logic: Entries require several independent components to align More active defaults: Default RVOL and regime thresholds are permissive enough to participate across many timeframes ATR stop and target: Risk is framed with volatility-adjusted exits Bias-flip exits: Positions can close when the opposing regime gains enough votes Risk controls: Max drawdown and max intraday filled orders are included Overlay visuals: Forecast bands and adaptive channel context can be displayed on chart Top-right dashboard: Regime, score, pressure, RVOL, votes, position, band width, and setup Alerts: Long and short setup events Input Parameters Forecast: Source, Forgetting Factor, Regression Horizon, Band Multiplier, ATR Blend, and Rebase Interval Regime: Fast EMA and Slow EMA: Trend structure references Pressure Length: Momentum and pullback window Pressure Threshold: Minimum pressure vote threshold Min RVOL: Participation filter Min Votes: Minimum number of aligned components for entries Risk: Stop ATR: Stop distance multiplier Target ATR: Target distance multiplier Max Drawdown %: Strategy risk halt setting Max Intraday Filled Orders: Limits daily trade frequency How to Use This Strategy Step 1: Read the dashboard regime before judging entries. Step 2: Use votes and pressure to understand why a setup qualified. Step 3: Review stop and target settings for the symbol and timeframe being tested. Step 4: Evaluate results across multiple markets and date ranges, not one optimized window. Strategy Limitations This strategy is not optimized for a specific symbol or timeframe More active defaults can increase trade count and also increase exposure to choppy periods Backtest fills are simulated by TradingView and may not match live execution All entry signals use confirmed-bar logic, so entries can occur after the intrabar move has begun Strategy performance should be evaluated with realistic commission, slippage, and position sizing Originality Statement Regime Execution Strategy is original in its integration of adaptive forecast bias, extreme-channel state, pressure voting, relative volume gating, EMA structure, ATR exits, and dashboard reporting into one open-source strategy. It does not copy third-party source code. Disclaimer This open-source strategy is for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any instrument. Backtested results do not predict future performance. Trading involves substantial risk, and users are responsible for their own risk management. -Made with passion by jackofalltrades
Strategia Pine Script®
di officialjackofalltrades
AlligatorFlex Reversal Engine AlligatorFlex Reversal Engine detects potential early trend-shift conditions using modified Alligator structure, line slope, volume expansion, and range confirmation. NASDAQ:QQQ AlligatorFlex Reversal Engine is a modified Alligator-style indicator designed to identify potential early trend-shift conditions using slope, volume, and price-range validation. Unlike a traditional Alligator indicator that only plots trend structure, AlligatorFlex adds confirmation filters to highlight moments where the market may be transitioning from one directional state to another. The indicator uses three EMA-based Alligator lines: - Jaw: slower structure line - Teeth: medium structure line - Lips: faster structure line Each line changes color based on its current slope, allowing traders to quickly visualize whether the internal structure is pushing upward or downward. Signal validation includes: - All three Alligator lines must show directional slope. - Current volume must exceed the average volume by a user-defined multiplier. - The recent price range must expand beyond its average range. - Line structure must meet the required alignment condition. A LONG signal appears when the Alligator structure is still positioned in a bearish alignment, but all three lines are rising with strong volume and range expansion. This can suggest a possible bullish reversal or early recovery attempt. A SHORT signal appears when the structure is still positioned in a bullish alignment, but all three lines are falling with strong volume and range expansion. This can suggest a possible bearish reversal or early rejection. This makes the indicator useful for traders looking for possible transition zones, reversal pressure, momentum shifts, and early directional expansion. Best used with: - Higher timeframe trend context - VWAP - Support and resistance - Market structure - Volume analysis - Breakout or reclaim setups AlligatorFlex Reversal Engine helps traders detect potential early market shifts by combining a modified Alligator structure with slope, volume, and range expansion filters. Instead of only showing moving average lines, the indicator evaluates whether the market is showing enough directional pressure to justify a possible transition signal. It highlights moments where: - Alligator lines begin to slope in the same direction - Volume expands above average - Price range expands beyond normal conditions - Structure suggests a possible reversal or directional shift LONG and SHORT labels are plotted directly on the chart when all confirmation layers align. The goal of AlligatorFlex is to help traders spot possible early reversal pressure before a fully developed trend becomes obvious. Jaw Length: Controls the slowest Alligator structure line. Teeth Length: Controls the medium Alligator structure line. Lips Length: Controls the fastest Alligator structure line. Volume Length: Defines the lookback period used to calculate average volume. Range Length: Defines the lookback period used to calculate recent price-range expansion. Slope Threshold: Minimum slope required from each Alligator line before a signal can be considered valid. Volume Multiplier: Requires current volume to be greater than average volume by the selected multiplier. Range Multiplier: Requires the recent price range to expand beyond its average range by the selected multiplier. Limitations: - This is a modified Alligator-style indicator, not the classic Williams Alligator. - Signals are designed for potential early shifts, not confirmed trend continuation. - Volume filters may behave differently across markets with unreliable or synthetic volume. - Range expansion can trigger late signals after a move has already started. - Choppy markets can still produce false signals. - The indicator does not include stop loss, take profit, or position sizing logic. Important: This indicator is not a standalone trading system and does not predict future price movement. It is designed as a visual confirmation tool for identifying potential directional shifts. Signals may fail during choppy, low-liquidity, or range-bound conditions.
Indicatore Pine Script®
di Ty_yanse
8
Crown Structure Ledger [JOAT]Crown Structure Ledger Introduction Crown Structure Ledger is an open-source market structure ledger built to classify price through three structural horizons at the same time: short-term, intermediate-term, and primary-term. Instead of reducing structure to a single swing model, this script maintains separate rails for each horizon so users can see where local repricing, intermediate repricing, and larger campaign structure are currently positioned. The indicator is designed to solve a common chart-reading problem: Traders often know price is moving, but they do not know whether the move is merely a short-term impulse inside a larger range, an intermediate continuation, or a genuine primary expansion. Crown Structure Ledger addresses that by combining: confirmed pivot structure active break state tracking adaptive ATR corridors EMA trend context volume-pressure bias scoring state-based candle coloring forward structure projection a top-right institutional dashboard The output is intentionally visual but restrained. Instead of cluttering the chart with excessive markers, the script emphasizes live structural rails, shaded corridors, confirmed state transitions, and a dashboard that summarizes the current condition of each structural layer. Core Concepts 1. Three-Horizon Structure Mapping The script confirms three separate pivot systems using different left/right lengths. This creates a short-term layer for local impulse, an intermediate layer for swing control, and a primary layer for broader directional structure. Each confirmed pivot updates its own active rail instead of overwriting the other layers. 2. Confirmed Break Logic Break states are only recognized on confirmed bars. This means the script does not react to intrabar spikes through a level. A structural state changes only when price closes through a live rail beyond a small corridor allowance. 3. Adaptive Structure Corridors Every rail is wrapped in an ATR-based corridor. When adaptive depth is enabled, the corridor expands or contracts according to volatility conditions so the structure model stays usable across slow and fast environments. 4. Pressure-Weighted Bias The indicator includes a directional pressure score based on up-volume versus down-volume across a configurable window. That pressure score is combined with EMA orientation and structure state to create a bias color system rather than a binary trend flag. 5. Forward Projection Current structural rails can be extended forward so the user can see where the next important structural interaction is likely to occur without manually drawing continuation levels. Features Three structure horizons: short, intermediate, and primary rails tracked independently Adaptive structure corridors: live ATR-based zones around active rails Confirmed structural transitions: break states only update on confirmed bars Break labels: optional state labels appear when a new structural expansion or compression is confirmed EMA trend filter: fast and slow EMA alignment supports the structure interpretation Volume-pressure bias model: directional pressure is estimated from relative up-volume and down-volume Bias cloud: optional background cloud reflects broader directional control Candle coloring: bars can be colored from bearish to bullish using a gradient-like bias response Forward corridor projection: active rails can extend to the right edge of the chart Institutional dashboard: top-right summary of structure state, bias, pressure, and live rail context Input Parameters Structure Engine Short Pivot Length Intermediate Pivot Length Primary Pivot Length Structure Corridor ATR Adaptive Corridor Depth ATR Length Bias Filter Fast EMA Slow EMA Pressure Window Color Candles Show Structure Cloud Show Structure Rails Show Break Labels Visual System Show Short Term Show Intermediate Term Show Primary Term Show Forward Corridor Forward Corridor Bars Dashboard Position Dashboard Size How to Use This Indicator Step 1: Read the Three States Separately Start by checking whether short-term, intermediate-term, and primary-term structure agree. When all three align, the chart is in a cleaner directional condition. When they diverge, the market is often transitioning or rotating. Step 2: Watch the Active Rails The live rails mark the current structural boundaries that still matter. These are the levels price must reclaim or lose to produce a confirmed structural update. Step 3: Use the Corridors, Not Just the Line The corridor around a rail is intentional. It helps avoid overreacting to shallow level breaches in noisy conditions. Step 4: Read the Bias Cloud and Candle Tone Together If candle color, pressure bias, and the structure cloud all point in the same direction, the chart context is stronger than a single rail break by itself. Step 5: Use the Dashboard as a Summary, Not a Shortcut The dashboard is there to reduce scanning time. It is best used as a summary of what the rails are already showing visually. Indicator Limitations Pivot-based structure confirms after the configured right-side bars complete, so signals are intentionally delayed for non-repainting behavior Very aggressive settings can make the short-term layer overly sensitive on low-quality markets In prolonged compression, structure may appear stable while directional follow-through remains weak The indicator explains current structure; it does not guarantee continuation after a break Originality Statement Crown Structure Ledger is built around a layered structure ledger rather than a single swing map. Its distinguishing value comes from maintaining three live structure horizons with adaptive corridors, pressure-aware bias scoring, forward projection, and a dashboard that keeps the chart readable while still exposing the full state of the engine. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice and should not be treated as a recommendation to buy or sell any financial instrument. All structural readings are derived from historical price and volume data and can fail in abnormal market conditions. Always use independent judgment and risk management.
Indicatore Pine Script®
di officialjackofalltrades
Elaris FVG Inversion ProElaris FVG Inversion Pro Advanced Fair Value Gap & Inversion Mapping System Elaris FVG Inversion Pro is a professional-grade market structure and imbalance visualization tool designed to help traders identify fair value gaps (FVGs), inversion fair value gaps (IFVGs), and potential reaction zones directly on the chart. The indicator focuses on price inefficiencies created by aggressive directional movement and highlights areas where price may revisit, react, continue, or reverse. Instead of displaying excessive noise, the system uses smart filtering logic, mitigation tracking, and optional trend confirmation to provide a cleaner and more structured view of market imbalance behavior. ━━━━━━━━━━━━━━━━━━ Core Features ━━━━━━━━━━━━━━━━━━ • Bullish & Bearish Fair Value Gap Detection Automatically identifies three-candle imbalance structures in real time. • Inversion Fair Value Gaps (IFVG) Detects when previously established imbalance zones transition into potential reversal zones after invalidation. • Non-Repainting Confirmed Detection Signals and zones can be confirmed only after candle close to maintain stable historical plotting. • Smart Gap Filtering Optional ATR, volume, and EMA trend filters help reduce low-quality or insignificant zones. • Dynamic Zone Management Zones automatically extend forward and can be configured to expire or hide after mitigation. • Mitigation Tracking Supports multiple mitigation models including: * Proximal * Midpoint (50%) * Distal • Quality Scoring System Each zone is evaluated using volatility and structure-based conditions to help prioritize stronger imbalances. • Dark & Light Mode Compatible Designed for clean visibility across different TradingView chart themes. • Professional Dashboard Displays active bullish, bearish, and inversion zones along with trend-state information. ━━━━━━━━━━━━━━━━━━ How It Works ━━━━━━━━━━━━━━━━━━ Bullish FVG: Forms when price leaves an upside imbalance between candles, potentially creating a future demand area. Bearish FVG: Forms when price leaves a downside imbalance, potentially acting as future supply. IFVG: Occurs when price invalidates an existing FVG and the zone transitions into a potential reversal area. The indicator can be used for: * Trend continuation setups * Pullback entries * Liquidity-based reactions * Market structure analysis * Confluence with support/resistance or liquidity concepts ━━━━━━━━━━━━━━━━━━ Best Practices ━━━━━━━━━━━━━━━━━━ Higher timeframe FVGs generally produce stronger reactions than lower timeframe gaps. Using the optional EMA and volume filters may help improve signal quality during volatile or choppy market conditions. For confirmation-based trading approaches, combine FVG reactions with structure breaks, momentum shifts, or liquidity sweeps. ━━━━━━━━━━━━━━━━━━ Notes ━━━━━━━━━━━━━━━━━━ This indicator is intended for technical analysis and educational purposes. No indicator guarantees future performance, and traders should always apply proper risk management and independent confirmation before making trading decisions.
Indicatore Pine Script®
di ElarisGroup
Aureate Market Architecture Strategy [JOAT]Aureate Market Architecture Strategy Introduction Aureate Market Architecture Strategy is an open-source TradingView strategy that integrates regime classification, structure bias, breakout pressure, liquidity confirmation, and risk management into one confirmed-bar execution model. The strategy is built for users who want a rules-based implementation of the broader JOAT architecture rather than a single-indicator signal stream. Its design goal is not to maximize trade count. Its design goal is to trade only when multiple independent conditions agree: the market is in an expansion-permitted regime structure bias supports direction pressure is strong enough to justify participation liquidity context confirms the move risk and daily drawdown constraints allow a new position This produces a strategy that is intentionally selective and explicitly non-repainting. Core Concepts 1. Regime Detection The strategy classifies the market into accumulation, expansion, or exhaustion using ATR behavior, balance width, and normalized breakout pressure. A persistence requirement prevents the regime state from flipping too quickly. 2. Structure Bias Filter Directional participation is gated by confirmed medium-term structural breaks, EMA orientation, and price location relative to the fast EMA. An optional higher-timeframe bias filter can be added using completed higher-timeframe candles only. 3. Pressure Confirmation Breakout pressure is derived from a composite of multiple ROC windows and smoothed into an adaptive signal. The strategy does not permit entries unless that signal exceeds its volatility-adjusted threshold. 4. Liquidity Context The strategy estimates upper and lower liquidity anchors, counts relative touch density, and looks for sweep failure behavior to confirm whether the current move has supportive liquidity context. 5. Risk and Exit Stack Every position uses an initial stop, a take-profit target based on risk multiple, an adaptive trailing component, a daily loss lockout, and a cooldown after exit. Features Three-state regime engine: accumulation, expansion, and exhaustion Persistence logic: regime changes require confirmation across multiple bars Structure bias filter: confirmed BOS logic combined with EMA alignment Optional HTF bias filter: completed higher-timeframe candles only Adaptive breakout pressure: multi-window ROC model normalized by its own volatility Liquidity confirmation: anchor touches, sweep failures, and relative-volume support Long and short entry logic: both directions use the same confirmed-bar architecture Risk management: ATR-based initial stop, target, trailing logic, and daily loss control Cooldown control: prevents immediate re-entry after an exit Dashboard and chart overlays: display current state, active bias, and risk context Default Strategy Properties Initial Capital: 100000 Order Size: 10% of equity Commission Model: Percent Commission Value: 0.01 Pyramiding: 0 Calc On Order Fills: enabled Calc On Every Tick: disabled Input Parameters Regime Engine Regime ATR Length Regime Baseline Length Balance Window Accumulation Volatility Threshold Expansion Volatility Threshold Regime Persistence Bars Structure Bias Short Pivot Medium Pivot Fast EMA Slow EMA Use Confirmed HTF Bias Filter HTF Bias Timeframe Breakout Pressure Fast ROC Medium ROC Slow ROC Macro ROC Pressure Smoothing Pressure Threshold Multiplier Liquidity Context Liquidity Window Sweep Depth ATR Relative Volume Floor Risk Management Initial Stop ATR Take Profit R Multiple Trail ATR Multiple Daily Lockout % Cooldown Bars After Exit How to Use This Strategy Step 1: Treat the Regime as the First Gate The strategy only wants to be active in the expansion state. If the dashboard shows accumulation or exhaustion, the system is designed to be more selective or inactive. Step 2: Check Directional Alignment The cleanest trades occur when structure bias, EMA alignment, pressure, and liquidity all support the same side. Step 3: Respect the Risk Model The stop, target, trail, and daily lockout are part of the strategy logic. They should not be ignored when evaluating results. Step 4: Expect Selectivity This strategy is built to filter aggressively. Users looking for frequent trades may need different settings or a different methodology. Step 5: Evaluate Over Enough Trades No strategy should be judged from a very small sample. Assess it across enough market conditions to understand where the architecture performs well and where it degrades. Strategy Limitations This strategy uses chart-derived liquidity and regime approximations rather than exchange microstructure data Selective filters can reduce trade frequency substantially on some instruments and timeframes Backtest results depend on instrument, timeframe, commission, slippage assumptions, and session behavior Non-repainting logic reduces false signals but can also introduce later entries than predictive systems Originality Statement Aureate Market Architecture Strategy is original in the way it integrates regime state, structural confirmation, normalized pressure, liquidity context, and layered risk controls into one coherent execution model. The purpose of the integration is practical: each component addresses a different failure mode that appears when breakout systems rely on only one dimension of evidence. Disclaimer This strategy is provided for educational and informational purposes only. It is not financial advice and does not guarantee profitability. Backtest outcomes are hypothetical and derived from historical data. Live trading includes slippage, execution variance, and market conditions that can differ materially from historical results.
Strategia Pine Script®
di officialjackofalltrades
Cross Exchange Premium Drift Map [AGPro Series]Cross Exchange Premium Drift Map 🧠 Core Idea Is the active crypto venue drifting away from the exchange basket, or is the market staying aligned across venues? 📌 Overview / What it does Cross Exchange Premium Drift Map is a crypto market structure tool designed to compare the active chart against a configurable basket of exchange reference symbols. Instead of reading only the local chart, the script builds a venue basket from multiple exchange feeds and measures whether the active venue is trading at a premium, discount, or neutral alignment versus that basket. It produces a premium drift path, a dispersion path, a right-side venue premium stack, event labels, strongest/weakest venue context, and a compact panel. It does not predict price direction, automate trading, or claim that a premium will close immediately. 🎯 Purpose & Design Philosophy This script was built to fill a specific gap in crypto analysis: many traders look at one exchange chart and assume that chart represents the whole market. Crypto is fragmented across venues. Premiums, discounts, and venue dispersion can appear before important shifts in liquidity, risk appetite, or execution quality. The purpose of this tool is to make that fragmentation visible in a structured, readable, and non-predictive way. ⚡ Why This Script Is Different Most tools focus on the active chart alone, or compare futures against spot using a basis model. This script does NOT operate as a funding, carry, open interest, or perp-versus-spot basis indicator. Instead, it compares the active venue against a configurable cross-exchange reference basket, then maps premium drift, venue dispersion, strongest venue, weakest venue, and alignment quality into a dedicated visual workflow. ⚙️ Methodology 1. Venue Basket Construction The script requests multiple user-defined exchange symbols and builds an average reference basket from available venue prices. 2. Premium Drift Detection The active chart is compared against the venue basket to calculate premium or discount. 3. Dispersion Evaluation The script measures how far individual venues are spread around the basket. 4. State Classification Premium, discount, spread expansion, spread compression, and exchange alignment are converted into readable states. 5. Visual Output The chart displays premium paths, event labels, a right-side venue stack, and a panel summary. 🗺️ How to Read the Chart The premium drift path shows how the active chart behaves relative to the venue basket. The dispersion path shows whether exchange prices are widening away from each other or compressing toward alignment. The right-side venue stack shows the current premium/discount context, basket drift, dispersion, strongest venue, and weakest venue. Labels mark meaningful changes such as Venue Premium, Venue Discount, Spread Expansion, and Exchange Alignment. The panel summarizes state, score, premium, drift z-score, velocity, dispersion, direction, grade, and venue count. 🚦 Signals & States • Venue Premium → the active chart trades meaningfully above the exchange basket • Venue Discount → the active chart trades meaningfully below the exchange basket • Spread Expansion → venue dispersion is widening • Spread Compression → venue prices are moving closer together • Exchange Alignment → venues are compressed and the active chart is near the basket • Check Venue Set → selected symbols may not represent the same asset or may be mismatched 🔔 Alerts Logic Alerts trigger when the script detects a fresh state transition into a meaningful venue condition. Venue Premium alerts mark active-chart premium pressure versus the basket. Venue Discount alerts mark active-chart discount pressure versus the basket. Spread Expansion alerts mark widening cross-exchange dispersion. Exchange Alignment alerts mark compression toward venue agreement. Alerts are attention markers, not trade instructions. 🧩 Confluence Logic The strongest readings occur when premium drift, drift z-score, velocity, dispersion, and persistence align. When these conditions align, the venue message becomes more meaningful, but it still remains context rather than a prediction. 📊 When to Use • Crypto spot charts with active multi-exchange liquidity • BTC, ETH, and major liquid altcoin pairs • Periods where venue premium, discount, or spread quality matters • Market structure review before interpreting local price action • Cross-exchange monitoring during volatile sessions ⚠️ When NOT to Use • Illiquid symbols with unreliable venue references • Symbols where the basket does not match the active chart asset • Extremely noisy low-timeframe conditions • Markets where one or more venue feeds are missing or stale • Situations where the user expects guaranteed arbitrage signals 🎛️ Key Inputs • Venue Symbols → define the exchange reference basket • Venue Labels → control the short exchange names shown in the visual stack • Premium Threshold → controls when active-chart premium or discount becomes relevant • Dispersion Threshold → controls when cross-exchange spread widening matters • Premium Baseline Length → controls the drift baseline • Premium Z-Score Length → controls normalization • Visual Settings → control panel, labels, paths, and venue stack display 🖥️ Interface & Visual Design The interface is built for quick market reading. The panel provides compact state information. The premium stack shows the current venue relationship without using pale or white primary visuals, preserving readability on both dark and light chart backgrounds. Labels are designed to be visible, premium, and not buried inside candles. 🧪 Practical Usage Workflow 1. Confirm that the venue symbols match the active chart asset. 2. Read the panel state and score. 3. Check whether the active chart is premium, discount, aligned, or mismatched. 4. Inspect the strongest and weakest venue labels. 5. Use the premium and dispersion paths to understand whether the relationship is widening or normalizing. 🔍 Interpretation Guidelines A venue premium does not automatically mean price must fall. A venue discount does not automatically mean price must rise. Spread expansion means exchange prices are becoming less aligned. Exchange alignment means the active venue is closer to the basket. The script should be read as market context, not as a buy or sell system. 🚫 What This Script Is NOT This script is not a prediction engine. It is not financial advice. It is not an arbitrage execution tool. It is not an auto-trading system. It does not guarantee that premiums, discounts, or spreads will normalize. ⚠️ Limitations & Transparency Cross-exchange readings depend on symbol quality, venue availability, quote currency differences, and TradingView data access. USD and USDT references may behave slightly differently. Low-liquidity assets can produce unstable readings. Timeframe differences and exchange data behavior can affect how states appear. 🧠 Market Context Notes Crypto markets are fragmented. The same asset can trade differently across exchanges because of liquidity, regional flow, quote currency differences, venue-specific demand, and execution conditions. This script attempts to make that fragmentation easier to see. 🧾 Use Case Examples When the active chart trades above the basket while dispersion expands, the market may be showing venue-specific premium pressure. When the active chart trades below the basket while dispersion expands, the market may be showing local venue weakness. When premium and dispersion compress together, the market may be returning toward exchange alignment. 🧱 System Philosophy Cross Exchange Premium Drift Map follows the AGProLabs design principle of building decision-support maps rather than prediction tools. The goal is to improve context, visual structure, and trader awareness. 🔐 Non-Promise Statement No signal in this script guarantees a future price move. No premium or discount reading guarantees convergence. All outputs require broader market interpretation. 📉 Risk Disclosure Trading involves risk. Users are fully responsible for their own decisions. This script does not provide financial advice, investment advice, or guaranteed trading outcomes. 📚 Educational Note This tool is designed for educational and analytical use. It helps traders study cross-exchange price behavior, venue alignment, and premium drift as part of a broader market structure workflow.
Indicatore Pine Script®
di AGProLabs
Structure Bias OscillatorThis is a rebranding of the Trend Bias Oscillator in order to add clarity to the logic and intent of this indicator. **Structure Bias Oscillator (SBO)** **What It Does** The Structure Bias Oscillator tells you which side of the market has structural control — and how committed price is to that direction. It watches for moments when price breaks through a recent swing high or swing low. When that happens, it locks in a directional bias and tracks where price sits within that structure's range until the opposite break occurs. It's a bias meter, not a prediction tool. It reflects what the market has already confirmed through price action. --- **How to Read It** The oscillator displays as a histogram running from –100 to +100, centered on a zero line. +50 to +100 means price is deep into bullish structure. +50 and below means bullish bias is confirmed but price hasn't pushed far into the range yet. Zero means no structural break has occurred or the market is at equilibrium. –50 and above means bearish bias is confirmed but price hasn't pressed far into the range yet. –100 to –50 means price is deep into bearish structure. Color reinforces this — bright lime at bullish extremes fading to softer green in the mild zone, bright red at bearish extremes fading to softer red, and gray when there's no active bias. A signal line runs over the histogram to smooth out bar-to-bar noise. When the histogram crosses above the signal line, structural bias is building to the upside. When it crosses below, bearish pressure is growing. --- **Controls** **Bars Left** — How many bars to the left the indicator looks when identifying a swing high or low. Higher values mean only more significant, widely-spaced pivots are recognized. Lower values make it more reactive to recent swings. Default is 20. **Bars Right** — How many bars to the right must close before a swing is confirmed. Higher values produce cleaner, more reliable pivots but add lag. Default is 5. **Non-Repaint Mode** — When on, signals only trigger on fully closed bars. This prevents the indicator from changing its read mid-candle, which is critical for reliable alerts and backreference. Leave this on unless you have a specific reason not to. Default is on. **Show Signal Line** — Toggles the smoothing line on or off. Turn it off for a clean histogram-only view. **Signal Type** — How the signal line is calculated. EMA reacts fastest to recent changes. SMA weights all bars equally. WMA gives more weight to recent bars in a linear way. RMA is the smoothest and slowest, best suited for higher timeframes. Default is EMA. **Signal Length** — How many bars go into the signal line calculation. Shorter values keep it close to the histogram. Longer values produce a smoother, slower line that filters more noise. Default is 5. **Signal Color and Width** — Visual only. Adjust to match your chart theme and preferred line thickness. --- **Alerts** Two alert conditions are built in and available directly from TradingView's alert panel. Buy Signal fires when price breaks above the most recent confirmed swing high for the first time, shifting structure to bullish. Sell Signal fires when price breaks below the most recent confirmed swing low for the first time, shifting structure to bearish. --- **What Makes This Indicator Unique** Most oscillators — RSI, MACD, Stochastic, and their derivatives — are momentum tools. They measure the speed or magnitude of price movement. They don't know or care about market structure. They can read bullish while price is collapsing inside a bearish structure, and bearish while price is grinding higher inside a bullish one. You're constantly having to mentally reconcile the oscillator against the chart context yourself. The SBO skips momentum entirely. It is built exclusively around structure — specifically, breaks of confirmed swing highs and lows. It doesn't fire until structure actually changes. Once it does, the bias is locked and held until the opposite structural event occurs. This means the oscillator and the chart are always in agreement by design, not by coincidence. The closest existing tools are the Market Structure Oscillator by LuxAlgo and the Structural Range Oscillator on TradingView. Both incorporate structure in some form. But the LuxAlgo version blends multiple timeframes with weighted period logic, making it more of a composite trend tool than a pure structural read. The Structural Range Oscillator measures price position within a range but doesn't anchor itself to confirmed break events — it adapts continuously rather than locking in on a structural shift. The SBO does one thing the others don't: it treats a break of structure as a state change, not a score. The bias either flipped or it didn't. And once it has, every subsequent bar is measured against the range that break defined — giving you a normalized, bounded read of how far price has moved into that structural territory. That combination of event-driven bias locking and range-normalized positioning is what separates it from every other structure-adjacent tool currently available. It also ships with a non-repaint mode on by default, which is not a given on TradingView. Most public indicators that claim non-repainting behavior bury the logic or leave it optional and off. Here it's the default — because a structural bias tool that repaints on you mid-candle is useless for anything other than chart decoration. --- **What This Indicator Is — and Isn't** The SBO is a structural state indicator, not a momentum oscillator. It doesn't measure how fast price is moving — it measures what structure has committed to. Once a structural break occurs, the bias holds until the opposite break happens. With non-repaint mode on, it won't change its read mid-candle. Use it as a bias filter alongside your existing entries and exits. Confirm you're trading in the direction of active structural bias before taking a position.
Indicatore Pine Script®
di tgregg75
Concord Execution Mandate [JOAT]Concord Execution Mandate Introduction Concord Execution Mandate is an open-source strategy that combines regime classification, higher-timeframe bias, structure breaks, daily pivot context, reversion-basis reclaim logic, and divergence safety into one execution framework. It is designed to test whether directional entries improve when multiple context layers are aligned rather than relying on a single trigger. The problem this strategy solves is unstructured execution. Many strategies either enter too often without context or wait for perfect alignment so long that they never engage. Concord Execution Mandate uses a softer confluence model that can still trade frequently while preserving directional context, confirmed-bar logic, realistic costs, and explicit risk controls. Core Concepts 1. Regime And Context Layer The strategy starts with an adaptive range-state engine supported by ADX, choppiness, and higher-timeframe EMA bias. These inputs do not all act as hard blockers; instead, they contribute to whether the environment is favorable enough for execution. 2. Structural And Rotation Triggers Entries can come from confirmed bullish or bearish BOS behavior, continuation crosses back through the regime filter, or more aggressive rotation entries through the daily pivot, reversion basis, or short EMA. 3. Soft Alignment Model Daily pivot bias, EMA weave bias, geometry bias, and regime location are combined into a directional alignment score. The strategy requires enough agreement to avoid fully random entries, but it does not require every filter to align perfectly before acting. 4. Risk Management Stops are based on the closer of pivot structure or ATR distance. Targets are expressed as a reward multiple of live risk, and a trailing stop can activate only after price reaches a configurable multiple of initial risk. Context-flip exits can close trades early when directional state changes materially. Features Adaptive regime filter: Core state engine for directional context Higher-timeframe bias: Optional EMA-based external direction filter Structure triggers: Confirmed BOS logic using stored pivots Continuation and rotation entries: Additional execution paths beyond BOS Daily pivot and EMA weave context: Location-versus-bias inputs for alignment scoring Reversion reclaim logic: Optional re-entry through a mean basis before entry Divergence safety filter: Optional block on fresh opposing divergence ATR and structure-based stops: Dynamic risk anchoring Reward targets and ATR trailing: Structured exit management Context-flip exits: Early closure when regime or bias reverses Realistic defaults: Percent-of-equity sizing, commission, and slippage are defined in the strategy properties Default Strategy Properties Initial capital: 100000 Default order size: 5 percent of equity Commission: 0.02 percent Slippage: 2 ticks Order processing: on bar close Pyramiding: 0 How to Use This Strategy Step 1: Read the dashboard to confirm the current regime, structural state, and whether the entry stack is armed. Step 2: Use the strategy on instruments and timeframes where directional movement and retracement behavior are both visible enough to generate a meaningful sample. Step 3: Review whether aggressive rotation entries or stricter reclaim filters better match the market being tested. Step 4: Keep the published chart clean and use the same Properties values shown in the strategy description when presenting results. Step 5: Evaluate the strategy using a broad sample of trades rather than isolated trades or one short backtest segment. Strategy Limitations This strategy still relies on lagging structure confirmation and can miss the first portion of fast reversals More aggressive settings can increase trade count at the cost of lower selectivity Higher-timeframe bias can conflict with local execution context during turning points Backtest results depend on symbol, timeframe, session behavior, and execution assumptions This strategy is designed to be realistic, not optimized for one narrow market condition Originality Statement Concord Execution Mandate is original in how it integrates adaptive regime logic, structural breaks, rotation entries, soft alignment scoring, reclaim filtering, divergence safety, and layered exit management into one execution framework. The combination is intentional because the strategy is designed to test whether context-aware execution can remain active without devolving into random signal generation. Disclaimer This strategy is provided for educational and informational purposes only. It is not financial advice and does not guarantee future performance. Backtests are based on historical data, configured assumptions, and simulated order handling. Always validate behavior independently and use appropriate risk management. -Made with passion by jackofalltrades
Strategia Pine Script®
di officialjackofalltrades
Reaction Quality Heat Zones [AGPro Series]Reaction Quality Heat Zones 🧠 Core Idea Is price reacting with clean quality, or is the zone only producing weak noise and failure pressure? 📌 Overview / What it does Reaction Quality Heat Zones is a premium TradingView overlay that evaluates the quality of price reactions around a live reference zone. It studies wick rejection, close location, participation, follow-through, and failed-reaction pressure to determine whether the current reaction area deserves attention. The script produces a forward-projected heat zone, centered zone label, compact event labels, right-side state tags, and an AGPro-style panel. It is designed to show whether a reaction is clean, weak, absorbing pressure, failing, or producing follow-through. It does not predict price direction, automate trading, or provide guaranteed entries. It is a visual context tool for reading reaction quality. 🎯 Purpose & Design Philosophy This script was built because many traders can see a reaction after it happens, but struggle to judge the quality of that reaction in real time. Reaction Quality Heat Zones helps traders evaluate whether a level, area, or market response is actually meaningful, or whether price is only producing low-quality movement around noise. The mindset is quality-first: not every bounce, rejection, or reaction deserves the same weight. ⚡ Why This Script Is Different Most tools mark support, resistance, or candle reactions as isolated events. This script does NOT treat every wick or bounce as equally important. Instead, it evaluates reaction quality as a combined structure: wick quality, close behavior, participation, follow-through, and failure pressure are all interpreted together. ⚙️ Methodology 1. Context Detection The script identifies the dominant reaction side by comparing bullish and bearish reaction quality. 2. Reference Mapping It builds a heat zone around the most relevant recent reaction boundary. 3. Reaction Evaluation It scores the zone using wick rejection, close quality, participation, follow-through, and distance from the reaction boundary. 4. Visual Output It displays a projected heat zone, event labels, state tags, and a structured panel. 🗺️ How to Read the Chart Zones represent areas where reaction quality is being evaluated. The centered zone label shows the active reaction heat score. Labels mark clean reactions, weak reactions, absorption risk, failed reactions, and follow-through events. Colors represent state context: • Green = clean or follow-through reaction • Pink = failed reaction pressure • Yellow = absorption risk • Indigo = weak or building reaction The panel summarizes reaction state, direction, heat score, failure pressure, wick quality, follow-through, and next context. 🚦 Signals & States • CLEAN REACTION → reaction quality is strong and failure pressure is controlled • FOLLOW-THROUGH → reaction quality is strong and continuation is visible • WEAK REACTION → reaction quality is not strong enough yet • ABSORPTION RISK → quality exists, but failure pressure is also elevated • FAILED REACTION → failure pressure dominates the reaction area • REACTION BUILD → no decisive reaction state is confirmed 🔔 Alerts Logic Alerts trigger when a new clean reaction, follow-through reaction, failed reaction, absorption risk, or weak reaction is detected. Alerts are attention markers only. They are not trade instructions. 🧩 Confluence Logic The strongest reaction context appears when wick rejection, close quality, participation, and follow-through align. The weakest reaction context appears when reaction quality is low and failure pressure increases. 📊 When to Use • Support and resistance reactions • Breakout retests • Range boundary reactions • Pullback reaction checks • Intraday and swing market-structure review ⚠️ When NOT to Use • Very low-liquidity symbols • Random chop without clear reaction areas • News-driven spikes • Charts where spreads or data quality distort candles 🎛️ Key Inputs • Reaction Lookback → controls the recent window used to build the heat zone • Follow-Through Length → controls continuation evaluation after reaction • Heat Threshold → defines how strong a reaction must be to qualify • Failure Threshold → defines when failure pressure becomes important • Zone Projection Bars → keeps all zone edges visible for publication screenshots • Panel and label settings → control readability and layout 🖥️ Interface & Visual Design The interface is built for fast visual interpretation. The heat zone carries the main story, while the panel provides structured confirmation. Right-side tags keep the current state readable without burying the candles. The visual design is intentionally premium, compact, and publication-ready. 🧪 Practical Usage Workflow 1. Read the panel state. 2. Check the active heat zone. 3. Compare heat score with failure pressure. 4. Look for clean reaction or follow-through confirmation. 5. Interpret the result within broader market structure. 🔍 Interpretation Guidelines High heat with controlled failure pressure suggests a cleaner reaction. High heat with high failure pressure suggests absorption risk. Low heat suggests the reaction may not be meaningful yet. Failed reaction pressure does not guarantee reversal. It shows that the reaction area is losing quality. 🚫 What This Script Is NOT This script is not a prediction engine. It is not financial advice. It is not an automated trading system. It does not provide guaranteed buy or sell signals. It does not replace risk management. ⚠️ Limitations & Transparency Reaction quality can change quickly. Different timeframes may show different reaction behavior. Volatility, liquidity, market sessions, and sudden news can affect how zones behave. Outputs should always be interpreted with broader market context. 🧠 Market Context Notes A good reaction is not only a wick. It also needs close quality, participation, and follow-through. This script is designed to make that difference visible. 🧾 Use Case Examples When price reacts from a zone with strong wick quality, strong close behavior, and follow-through, the heat score can confirm a cleaner reaction. When price reacts but failure pressure rises, the zone may be vulnerable. When price stays inside the zone without quality, the script may show weak reaction or reaction build context. 🧱 System Philosophy AGPro Series scripts are designed to make complex market context easier to read without reducing the market to simplistic signals. This script follows that philosophy by focusing on reaction quality instead of generic support or resistance marks. 🔐 Non-Promise Statement No script can guarantee future price movement. This tool provides structured context, not certainty. 📉 Risk Disclosure Trading involves risk. Users remain responsible for their own decisions, position sizing, and risk management. This script does not provide financial advice or guaranteed trading outcomes. 📚 Educational Note Use this script to study how price reacts around important areas and to compare clean reactions with weak or failed reactions across different market conditions.
Indicatore Pine Script®
di AGProLabs
Exhaustion Fuel Gauge [AGPro Series]Exhaustion Fuel Gauge 🧠 Core Idea Is the current move still powered by real participation, or is the trend running on exhausted fuel? 📌 Overview / What it does Exhaustion Fuel Gauge is a premium TradingView overlay that evaluates trend fuel, participation strength, extension pressure, wick reaction, and momentum efficiency to map whether a directional move is still active, fading, or entering exhaustion territory. The script produces a forward-projected fuel zone, compact state labels, current context tags, and an AGPro-style panel that summarizes the active gauge state. It is designed to help users read whether a move has enough internal fuel to continue or whether the chart is showing signs of weakening participation and exhaustion risk. It does not predict price direction, automate trades, or provide guaranteed signals. It is a visual decision-support map for market context. 🎯 Purpose & Design Philosophy This script was built to fill the gap between simple momentum indicators and real chart context. Many tools show whether price is moving fast, but they do not clearly explain whether the move still has fuel or whether the movement is becoming fragile. Exhaustion Fuel Gauge helps discretionary traders, swing traders, intraday traders, and market-structure readers evaluate the quality of a move before overreacting to a single candle. The design philosophy is simple: trend continuation should be judged by fuel, participation, efficiency, and reaction quality together. ⚡ Why This Script Is Different Most tools focus on overbought or oversold readings. This script does NOT treat exhaustion as a single oscillator value or a generic reversal signal. Instead, it combines directional persistence, participation strength, range behavior, move efficiency, wick pressure, and extension risk into a clean overlay that explains whether the current move still has usable fuel. ⚙️ Methodology 1. Context Detection The script identifies the active directional context using recent price movement and trend baseline behavior. 2. Fuel Evaluation It measures persistence, participation, range expansion, and efficiency to estimate how much usable fuel remains in the move. 3. Exhaustion Risk Mapping It evaluates extension, fuel fade, wick pressure, and participation fade to estimate whether the move is becoming vulnerable. 4. Visual Output The script displays a forward-projected fuel zone, event labels, right-side context tags, and a structured AGPro panel. 🗺️ How to Read the Chart Zones represent the current fuel reference area where the active move should be evaluated. Labels mark important changes such as fuel activation, fuel fading, exhaustion watch, exhaustion hit, or reset build. Colors represent state context: • Green = active fuel • Pink = exhaustion risk or exhaustion hit • Yellow = caution / watch state • Indigo = fading or reset context The panel summarizes the current gauge state, direction, fuel score, exhaustion risk, participation, extension, and next context. 🚦 Signals & States • FUEL ACTIVE → directional move still has usable internal fuel • FUEL FADING → move is still present, but internal support is weakening • EXHAUSTION WATCH → extension and reaction pressure are elevated • EXHAUSTION HIT → exhaustion evidence is strong and fuel has weakened • RESET BUILD → no clean directional fuel is currently confirmed 🔔 Alerts Logic Alerts trigger when the script detects a new fuel-active state, fuel-fading state, exhaustion-watch state, exhaustion-hit state, or reset-build state. Alerts are attention markers only. They are not trade instructions and should not be interpreted as guaranteed outcomes. 🧩 Confluence Logic The strongest exhaustion context appears when extension pressure, participation fade, wick reaction, and weak fuel score align. The strongest continuation context appears when fuel score remains high while exhaustion risk stays contained. 📊 When to Use • Trending markets where continuation quality matters • Extended moves where exhaustion risk needs to be evaluated • Breakout follow-through analysis • Swing-trading context review • Intraday movement quality checks ⚠️ When NOT to Use • Extremely low-liquidity markets • Randomly choppy symbols with poor structure • News spikes where normal participation behavior is distorted • Very low timeframes with excessive noise 🎛️ Key Inputs • Trend Length → adjusts the baseline used to define directional context • Fuel Lookback → controls how many bars are used for fuel evaluation • Exhaustion Threshold → adjusts how strict exhaustion detection is • Fuel Fade Threshold → defines when a move is considered fuel-fading • Zone Projection Bars → keeps the active zone visible for publication screenshots • Panel and label settings → control visual readability 🖥️ Interface & Visual Design The interface is built for quick visual interpretation. The panel provides structured context without dominating the chart. The fuel zone gives the main story visually, while compact labels and right-side tags provide the current state without clutter. The goal is a premium, publication-ready TradingView chart. 🧪 Practical Usage Workflow 1. Read the panel state. 2. Check whether fuel is active, fading, or exhausted. 3. Observe the active fuel zone and current right-side tags. 4. Compare exhaustion risk with participation and extension. 5. Use broader market structure before making any decision. 🔍 Interpretation Guidelines High fuel with low exhaustion risk suggests the move still has internal support. High exhaustion risk with weak fuel suggests the move may be vulnerable to reaction or reset. Fuel fading does not mean reversal. It means continuation quality is weakening. Exhaustion hit does not guarantee a top or bottom. It marks a context that deserves caution. 🚫 What This Script Is NOT This script is not a prediction engine. It is not financial advice. It is not an automated trading system. It does not provide guaranteed buy or sell signals. It does not replace risk management or independent analysis. ⚠️ Limitations & Transparency The script is rule-based and depends on market conditions. Different timeframes may produce different readings. Volatility, liquidity, gaps, and news-driven moves may affect signal quality. Outputs should always be interpreted with broader market context. 🧠 Market Context Notes Exhaustion is not only about price distance. It also depends on whether participation remains strong, whether candles still close efficiently, and whether wick pressure begins to appear against the current direction. This script is designed to make those conditions easier to read visually. 🧾 Use Case Examples When price extends strongly but fuel remains high and exhaustion risk is contained, the move may still have continuation quality. When price extends while participation fades and wick pressure increases, the chart may be entering exhaustion-watch territory. When exhaustion risk rises while fuel drops, the context becomes more fragile. 🧱 System Philosophy AGPro Series tools are designed as professional visual maps, not signal machines. The goal is to make complex market context easier to interpret without reducing it to a simplistic buy or sell label. 🔐 Non-Promise Statement No script can guarantee future price movement. This tool provides structured context, not certainty. 📉 Risk Disclosure Trading involves risk. Past behavior does not guarantee future results. Users are responsible for their own decisions, position sizing, and risk management. This script does not provide financial advice. 📚 Educational Note Use this script as a learning and analysis tool to better understand momentum quality, trend fuel, and exhaustion behavior across different market conditions.
Indicatore Pine Script®
di AGProLabs
Acceptance Failure Path Map [AGPro Series]Acceptance Failure Path Map 🧠 Core Idea Did price truly accept beyond a market boundary, or did that acceptance fail and create a new reaction path? 📌 Overview / What it does Acceptance Failure Path Map is a market-structure visualization tool designed to study acceptance, failed acceptance, reclaim attempts, and continuation behavior around a defined reference range. The script maps an acceptance band, detects whether price holds above or below that band, and highlights when accepted price fails back through the boundary. It produces compact labels, a centered path zone, right-side state tags, and an AG Pro panel that summarizes the current acceptance context. It does not predict price direction, automate decisions, or claim that any acceptance event must continue. Its purpose is to make acceptance quality easier to read. 🎯 Purpose & Design Philosophy This script was built for traders who want to understand whether a move is being accepted by the market or rejected after a temporary push beyond structure. Many breakout tools mark only the breakout event. This script focuses on what happens after the breakout: acceptance, failure, reclaim pressure, and continuation risk. The design supports a patient, context-first workflow where the trader reads the path of price around a boundary instead of reacting to a single candle. ⚡ Why This Script Is Different Most tools focus on breakout signals, support and resistance touches, or simple range breaks. This script does NOT treat every break as meaningful acceptance. Instead, it builds a path map around acceptance quality, failure timing, reclaim behavior, and current risk state. The result is a cleaner view of whether price is holding acceptance or losing it. ⚙️ Methodology 1. Context Detection The script builds a reference range from recent market structure and applies an ATR-based buffer to reduce noise. 2. Reference Mapping It defines upper and lower acceptance boundaries and tracks whether price closes beyond them for the required number of bars. 3. Reaction Evaluation After acceptance appears, the script monitors whether price fails back through the boundary, attempts reclaim, or holds continuation. 4. Visual Output The chart displays an acceptance path zone, event labels, right-side state tags, and a panel summarizing the current condition. 🗺️ How to Read the Chart Zones show the current acceptance path area around the active boundary. Labels highlight acceptance above, acceptance below, acceptance failure, reclaim tests, and held acceptance. Colors separate bullish acceptance, bearish acceptance, neutral failure risk, and reclaim context. The panel shows the current path state, acceptance side, failure risk, path quality, reference range, active boundary, and next context. 🚦 Signals & States • ACCEPT ABOVE → Price has accepted above the reference boundary. • ACCEPT BELOW → Price has accepted below the reference boundary. • ACCEPT FAIL → Accepted price failed back through the boundary within the failure window. • RECLAIM TEST → Price is testing reclaim after a failed acceptance event. • ACCEPT HELD → Acceptance remained valid after the failure window. 🔔 Alerts Logic Alerts trigger when the script detects acceptance above, acceptance below, acceptance failure, or reclaim testing. These alerts are attention markers. They are not trade instructions, entry signals, or guaranteed outcomes. 🧩 Confluence Logic The context becomes stronger when acceptance quality, distance from the reference range, participation, and follow-through direction align. If acceptance appears without follow-through or quickly returns through the boundary, the failure context becomes more important. 📊 When to Use • After range breaks • Around support and resistance transitions • During breakout retests • When price is attempting to hold above or below a major boundary • When evaluating whether market structure is accepted or rejected ⚠️ When NOT to Use • Extremely illiquid markets • Very noisy low-timeframe candles • News-driven spikes with unstable spreads • Markets with no meaningful reference range • Situations where a single indicator is being used without broader context 🎛️ Key Inputs • Reference Range Length → controls how much structure is used to build the acceptance boundary. • Acceptance Bars → controls how many closes are required before acceptance is recognized. • Failure Window → controls how quickly accepted price must fail back through the boundary. • Boundary Buffer ATR → adjusts the buffer around the reference range. • Label and Panel Font Size → adjust chart readability. • Visible Band Bars and Band Projection Bars → control how the acceptance zone appears on the chart. 🖥️ Interface & Visual Design The interface is designed for a premium, clean chart view. The panel provides the current summary. The acceptance zone carries the main story. Labels are compact and spaced to avoid hiding candles. The visual hierarchy is intentionally simple: zone first, current state second, event labels third. 🧪 Practical Usage Workflow 1. Read the AG Pro panel to identify the current path state. 2. Check whether price is above, below, or inside the acceptance path zone. 3. Review recent labels to understand whether acceptance held, failed, or reclaimed. 4. Compare the current failure risk and path quality with broader market context. 5. Use alerts only as attention markers for further review. 🔍 Interpretation Guidelines Acceptance is stronger when price remains outside the boundary with follow-through. Acceptance failure is more meaningful when price quickly returns through the boundary after appearing accepted. Reclaim tests should be interpreted as context changes, not automatic reversal signals. Held acceptance suggests the market is continuing to respect the accepted side, but it still requires confirmation from broader structure. 🚫 What This Script Is NOT This script is not a prediction engine. It is not financial advice. It is not an automated trading system. It does not provide guaranteed buy or sell signals. It does not replace risk management, market context, or independent analysis. ⚠️ Limitations & Transparency Acceptance behavior can look different across timeframes. High volatility can create temporary false readings. Low-liquidity markets may produce unstable boundary behavior. The script is rule-based and depends on the selected settings, symbol behavior, and chart timeframe. 🧠 Market Context Notes Acceptance and failure are closely related to market structure, liquidity reaction, and participant commitment. When price breaks a boundary but cannot hold it, the failed side may become the more important context. When price accepts and holds, the market may be showing stronger directional commitment. 🧾 Use Case Examples When price accepts above a range and holds beyond the failure window, the chart may show an ACCEPT HELD context. When price accepts above a boundary but quickly closes back below it, the script may mark ACCEPT FAIL. When price returns back toward a failed boundary, the script may show a RECLAIM TEST state. 🧱 System Philosophy AGPro Series tools are built to visualize market context without turning analysis into prediction. The goal is to make structure, risk, and reaction quality easier to observe in real time. 🔐 Non-Promise Statement No script can guarantee market direction, timing, or outcome. This tool provides structured visual context only. 📉 Risk Disclosure Trading involves risk. Users are responsible for their own decisions, risk management, and position sizing. This script does not provide financial advice or guaranteed trading results. 📚 Educational Note Use this script as a learning and analysis tool for studying acceptance, failed acceptance, reclaim pressure, and continuation behavior around market boundaries.
Indicatore Pine Script®
di AGProLabs
VWAP Intraday, Weekly, MonthlyA clean, professional implementation of three anchored VWAPs — Intraday, Weekly and Monthly — with standard deviation bands, cloud fills and candle coloring. Built for futures, stocks and forex traders who use VWAP as a core part of their analysis. ━━━━━━━━━━━━━━━━━━━━━━━━ WHAT IS VWAP? ━━━━━━━━━━━━━━━━━━━━━━━━ Volume Weighted Average Price is the most widely referenced intraday benchmark used by institutional traders, market makers and algorithms. It represents the average price at which all volume has transacted over a given period. Price above VWAP is generally considered bullish, price below is bearish. The standard deviation bands show statistical distance from fair value — the further price extends from VWAP, the more extended and mean-reversion prone the move becomes. ━━━━━━━━━━━━━━━━━━━━━━━━ FEATURES ━━━━━━━━━━━━━━━━━━━━━━━━ ▶ Intraday VWAP — resets each session. Band 1 and Band 2 with optional cloud fill. ▶ Weekly VWAP — resets each week. Band 1 and Band 2 with optional cloud fill. ▶ Monthly VWAP — resets each month, correctly anchored to the first session of the calendar month. Band 1 and Band 2 with optional cloud fill. ▶ Candle Coloring — green when price closes above Intraday Band 1, red when below. Neutral inside the bands. ▶ Multiple Anchors — Globex (18:00 ET, best for NQ/ES futures), Midnight (stocks and forex), Market Open (9:30 ET RTH), London session (03:00 ET) and Asia session. ▶ Source Selection — HLC3 (typical price, institutional standard), Close, HL2 or OHLC4. ━━━━━━━━━━━━━━━━━━━━━━━━ HOW TO USE ━━━━━━━━━━━━━━━━━━━━━━━━ Futures traders (NQ, ES, MNQ): use Globex anchor. This anchors VWAP to the 18:00 ET session open, matching institutional platforms like Sierra Chart and Bookmap. Stock traders: use Midnight or Market Open anchor depending on your preference. Forex traders: use Midnight anchor for a standard daily reset. Band 1 (1.0 std dev) is the primary level. Price rejecting from Band 1 and reversing toward VWAP is one of the most reliable setups in VWAP trading. Price closing outside Band 1 signals a strong directional move. Band 2 (2.0 std dev) marks extended moves where mean reversion is statistically more likely. Weekly and Monthly VWAPs act as macro support and resistance levels. Price above both is a bullish macro structure. Price between them shows a transitional zone. Price below both is bearish. ━━━━━━━━━━━━━━━━━━━━━━━━ SETTINGS ━━━━━━━━━━━━━━━━━━━━━━━━ All colors, opacity and line thickness are adjustable by clicking each color swatch — the popup includes color, opacity, thickness and line style in one place. Each band's standard deviation multiplier is adjustable. The default 1.0 and 2.0 are the most commonly used values but some traders prefer 1.5 / 2.5 depending on their instrument and style. ━━━━━━━━━━━━━━━━━━━━━━━━ NOTES ━━━━━━━━━━━━━━━━━━━━━━━━ - Works on any timeframe and any instrument with volume data. - For accurate Globex VWAP on NQ/ES, ensure your chart data includes the overnight session. - Monthly VWAP is anchored to the first Globex session of each calendar month, not midnight of the 1st — this matches the institutional convention for futures.
Indicatore Pine Script®
di solowit69
Candle Intent Map [AGPro Series]Candle Intent Map 🧠 Core Idea Does this candle show initiative, absorption, rejection, indecision, or a real shift in intent? 📌 Overview / What it does Candle Intent Map is a candle behavior and market reaction tool designed to read the internal message of price candles beyond simple bullish or bearish color. The script evaluates body pressure, wick reaction, close location, volume context, short follow-through, and recent intent changes to classify whether the market is showing initiative, absorption, rejection, indecision, or an intent shift. It produces compact labels, a visible intent pressure zone, right-side context tags, and a clean AG Pro panel. It does not predict price, automate decisions, or promise that a candle pattern will continue. 🎯 Purpose & Design Philosophy This script was built because many candlestick tools stop at basic pattern recognition. A candle is not only a shape. It is a relationship between body commitment, wick reaction, volume participation, close location, and what happens immediately after that candle forms. Candle Intent Map helps traders who want to read candle quality, initiative pressure, reaction zones, and follow-through context without turning the chart into a crowded pattern scanner. ⚡ Why This Script Is Different Most candle tools focus on named formations such as engulfing candles, pin bars, doji candles, or simple color changes. This script does NOT treat every candle pattern as an automatic signal. Instead, it studies whether the candle has enough internal pressure, reaction quality, volume context, and follow-through to deserve attention. The goal is not to label more candles. The goal is to label the candles that tell a clearer market story. ⚙️ Methodology 1. Context Detection The script measures body-to-range ratio, upper wick pressure, lower wick pressure, close location, and relative volume participation. 2. Intent Classification Candles are classified into initiative, absorption, rejection, indecision, or intent shift conditions based on body pressure, wick behavior, and directional commitment. 3. Reaction Evaluation The script builds a reaction-quality score using body strength, wick reaction, close placement, volume context, and short follow-through behavior. 4. Visual Output The strongest current candle intent context is mapped as a visible intent zone, compact event labels, right-side state tags, and a structured AG Pro panel. 🗺️ How to Read the Chart Zones represent the most recent candle intent pressure area. Labels show important candle intent events such as bullish intent, bearish intent, absorption, rejection, indecision, or intent shift. Colors separate constructive pressure, defensive pressure, neutral reaction, and absorption-style behavior. The panel summarizes current intent, direction, body pressure, wick reaction, follow-through, quality score, and next context. 🚦 Signals & States • BULL INTENT → bullish body pressure with meaningful close location and participation • BEAR INTENT → bearish body pressure with meaningful close location and participation • ABSORPTION → strong reaction behavior with compressed body and meaningful volume • LOWER REJECT → lower wick reaction suggesting downside rejection • UPPER REJECT → upper wick reaction suggesting upside rejection • INDECISION → low body commitment with balanced wick behavior • INTENT SHIFT → recent candle intent changes direction with enough pressure to matter 🔔 Alerts Logic Alerts trigger when the script detects bullish candle intent, bearish candle intent, candle absorption, or candle intent shift. These alerts are attention markers only. They highlight a candle context that may deserve review, not a trade instruction. 🧩 Confluence Logic The strongest context appears when candle body pressure, wick reaction, close location, volume participation, and follow-through point in the same direction. When these components align, the candle intent quality score becomes stronger. 📊 When to Use • During active trend continuation phases • Around reaction zones and pullback areas • Near support, resistance, VWAP, or liquidity references • When evaluating whether a candle has real participation behind it • When comparing initiative candles against absorption or rejection candles ⚠️ When NOT to Use • Extremely illiquid markets • Very noisy low-timeframe environments • News-driven candles with abnormal spreads • Symbols with unreliable volume data • Situations where broader market context is ignored 🎛️ Key Inputs • Volume Context Length → controls the relative volume comparison window • Follow-Through Length → controls how short-term continuation is measured • Initiative Body Ratio → changes how strict the initiative candle filter is • Reaction Wick Ratio → changes how strict wick-based rejection and absorption filters are • Visible Zone Bars → controls how much of the recent chart the intent zone covers • Label and Panel Font Size → controls visual readability 🖥️ Interface & Visual Design The interface is designed to stay clean, readable, and publication-friendly. The chart focuses on one main intent zone, compact event labels, right-side context tags, and a structured panel. The visual hierarchy is intentional: zone first, current state second, historical intent events third. 🧪 Practical Usage Workflow 1. Read the panel to understand the current candle intent state 2. Check the intent zone and its position relative to price 3. Review recent labels to understand whether initiative, absorption, or rejection has dominated 4. Compare the quality score with current follow-through 5. Interpret the output inside broader market context 🔍 Interpretation Guidelines A strong intent label does not mean price must continue. A rejection label does not mean reversal is guaranteed. An absorption label means the candle structure showed reaction and participation, but confirmation still depends on the following market behavior. The best interpretation comes from combining candle intent with structure, liquidity, volatility, and timeframe context. 🚫 What This Script Is NOT This script is not a prediction engine. It is not financial advice. It is not an auto-trading system. It does not provide guaranteed buy or sell signals. It does not replace risk management or independent analysis. ⚠️ Limitations & Transparency Candlestick interpretation changes across timeframes. Volume quality may differ between markets and exchanges. Fast volatility expansion can make recent candle intent less stable. Low-liquidity conditions may create misleading wick or body readings. Users should always interpret outputs within broader market context. 🧠 Market Context Notes Candle intent is most useful when combined with structure, liquidity, trend quality, volatility, and acceptance behavior. One candle rarely tells the whole story. The value comes from understanding whether candle pressure is supported or rejected by what comes next. 🧾 Use Case Examples When price reaches a known support area and the script prints a lower rejection label with improving quality, the trader can study whether downside pressure is being rejected. When a strong body candle prints with high quality and follow-through, the trader can evaluate whether initiative pressure is entering the market. When absorption appears inside a range, the trader can watch whether trapped pressure develops or fades. 🧱 System Philosophy Candle Intent Map is part of the AGPro Series approach: clean visual tools that focus on market context, reaction quality, and decision support rather than prediction claims. The script is designed to make candle behavior easier to read while keeping the trader responsible for interpretation. 🔐 Non-Promise Statement No script can know the future. No candle label guarantees continuation or reversal. This tool provides structured visual context only. 📉 Risk Disclosure Trading involves risk. Market conditions can change quickly. All decisions remain the responsibility of the user. This script does not provide financial advice or guaranteed trading outcomes. 📚 Educational Note Use this script as an educational and analytical companion for studying candle behavior, reaction quality, and short-term intent context.
Indicatore Pine Script®
di AGProLabs
Volatility Compression Release Map [AGPro Series]Volatility Compression Release Map 🧠 Core Idea Is the market quietly building expansion energy, or has the release already failed back into the shelf? 📌 Overview / What it does Volatility Compression Release Map is a volatility regime and compression shelf visualization tool built to identify quiet range contraction, release attempts, fake releases, and expansion quality. The script maps a projected compression shelf when volatility rank and range size contract together. It then tracks whether price releases away from that shelf, returns back inside it, or continues to hold expansion pressure. This script does not predict future price direction, automate trades, or produce guaranteed buy/sell signals. It is designed as a structured chart-reading layer for volatility compression, release quality, and contextual risk. 🎯 Purpose & Design Philosophy The script was built for traders who care about the transition between quiet markets and expansion phases. Many charts look calm before movement starts. The challenge is not simply seeing a tight range, but understanding whether that range is still building energy, whether the release is active, or whether the move has already failed back into the shelf. The design philosophy is simple: reduce volatility noise into a readable map, preserve the important shelf story, and make the current regime understandable at first glance. ⚡ Why This Script Is Different Most tools focus on breakout arrows, squeeze dots, or raw volatility bands. This script does NOT treat every contraction as an immediate trade signal and does NOT frame every expansion candle as confirmation. Instead, it builds a full compression-to-release map: the shelf, volatility rank, range size, release direction, fake-release risk, quality score, right-side state labels, and a compact AG Pro panel all work together. ⚙️ Methodology 1. Context Detection The script evaluates ATR rank, recent range size, and whether price is still inside a quiet shelf. 2. Shelf Mapping When compression conditions align, the active range is stored and projected forward as a compression shelf. 3. Release Evaluation The script checks whether price leaves the shelf with enough candle body expansion to qualify as a release attempt. 4. Failure Tracking If price quickly returns into the shelf during the fake-release window, the state changes to fake release. 5. Visual Output The chart displays a projected shelf, dotted rails, a centered shelf-quality label, event labels, right-side state tags, and a compact AG Pro panel. 🗺️ How to Read the Chart Zones represent the active compression shelf. The shelf label shows the current shelf quality score using a compact `SHELF | Q` format. Green/teal visual states generally indicate constructive expansion or defended release behavior. Pink visual states highlight failed release or adverse volatility behavior. Indigo/accent visuals represent compression and neutral shelf structure. The panel summarizes compression state, release direction, volatility rank, range size, quality score, shelf range, and next context. 🚦 Signals & States • COMPRESSION BUILD → a quiet shelf is forming and volatility is compressed • RELEASE ACTIVE → price has moved away from the shelf with sufficient body expansion • FAKE RELEASE → price returned back into the shelf after a release attempt • SHELF WATCH → a shelf exists but the market has not produced a clean active release • WAIT COMPRESSION → no valid compression shelf is currently active 🔔 Alerts Logic Compression Build alert triggers when a new volatility compression shelf is detected. Compression Release alert triggers when price releases from the active shelf with enough candle body expansion. Fake Release alert triggers when price returns back into the shelf within the defined fake-release window. Alerts are attention markers. They are not trade instructions. 🧩 Confluence Logic The context becomes stronger when low volatility rank, compact range size, a visible shelf, and a strong release candle align. The context becomes weaker when price fails back into the shelf shortly after release. 📊 When to Use • Before potential expansion phases • During quiet range compression • Around breakout preparation zones • When evaluating whether a move is expanding or failing • On liquid markets where volatility structure is meaningful ⚠️ When NOT to Use • Extremely illiquid symbols • Very noisy low-timeframe charts • News shock environments where volatility structure changes suddenly • Markets with unreliable volume or large gaps • Situations where a single indicator is being used without broader context 🎛️ Key Inputs • Compression Lookback → controls the range window used to detect the shelf • Volatility Rank Lookback → controls how ATR rank is measured • Compression Rank Max → changes how selective compression detection is • Range ATR Max → limits how wide a valid shelf can be • Release Body ATR Min → defines how strong a release candle must be • Fake Release Window → controls how quickly a release failure is detected • Visual settings → control shelf projection, labels, panel, theme, and font sizes 🖥️ Interface & Visual Design The interface is designed to look clean, premium, and publication-ready. The shelf is the main visual anchor. Event labels are intentionally limited so the chart does not become crowded. The AG Pro panel uses a merged blue header row and summarizes the state without covering the main chart story. 🧪 Practical Usage Workflow 1. Read the panel state. 2. Locate the active compression shelf. 3. Check whether price is inside, releasing, or failing back into the shelf. 4. Compare the quality score with the visual structure. 5. Use broader market context before making any decision. 🔍 Interpretation Guidelines Compression is not direction. A shelf shows where volatility has contracted. A release shows that price moved away from the shelf with expansion pressure. A fake release shows that the market rejected the expansion and returned to the compression area. The strongest interpretations come from combining the shelf, state, quality score, and surrounding market structure. 🚫 What This Script Is NOT This script is not a prediction engine. It is not financial advice. It is not an auto-trading system. It does not guarantee profitable trades. It does not replace risk management or independent analysis. ⚠️ Limitations & Transparency Timeframe differences can change how compression and release behavior appears. High volatility news events may reduce the usefulness of shelf-based interpretation. Low-liquidity markets can produce misleading shelves and sudden false releases. The script is rule-based and should always be interpreted within broader market context. 🧠 Market Context Notes Volatility often contracts before expansion, but compression alone does not define direction. The shelf helps identify where the market has stored recent range energy. Release quality helps separate stronger expansion attempts from weak movement outside the range. 🧾 Use Case Examples When price remains inside a shelf while volatility rank is low, the market may still be building energy. When price leaves the shelf with strong body expansion, the script marks release behavior. When price returns into the shelf quickly, the script flags a fake-release context. 🧱 System Philosophy AGPro Series tools are built to turn complex market behavior into structured visual maps. The goal is not to simplify markets into certainty, but to make important context easier to read. 🔐 Non-Promise Statement No script can know the future. No signal is certain. No visual state should be treated as a guaranteed outcome. 📉 Risk Disclosure Trading involves risk. Markets can move unexpectedly. Users are responsible for their own decisions, risk management, and trade execution. This script does not provide financial advice. 📚 Educational Note This tool is intended for educational and analytical use. It can help traders study volatility compression, release behavior, fake-release risk, and shelf-based market context.
Indicatore Pine Script®
di AGProLabs
Failed Continuation Trap Map [AGPro Series]Failed Continuation Trap Map 🧠 Core Idea Did a continuation attempt fail strongly enough to trap traders and create pressure in the opposite direction? 📌 Overview / What it does Failed Continuation Trap Map is a rule-based price-action and market-structure visualization tool designed to study failed continuation attempts. The script identifies trend-aligned continuation attempts, maps the attempted breakout zone, evaluates whether the move fails back through that zone, and highlights when trapped longs or trapped shorts may create opposite pressure. It does not predict reversals, automate trades, or guarantee that a failed continuation will produce follow-through. It is a structured decision-support map for continuation failure, trap behavior, and opposite-pressure context. 🎯 Purpose & Design Philosophy Many breakout and continuation tools focus on whether price moved beyond a level. This script was built to answer a more selective question: Did the continuation attempt fail in a way that changes the market narrative? The design goal is to help traders read failed continuation as a trap context instead of treating every rejection as a reversal signal. ⚡ Why This Script Is Different Most tools focus on breakouts, pullbacks, continuation signals, or reversal labels. This script does NOT label every failed move as a trap. Instead, it waits for a trend-aligned continuation attempt, tracks the attempt zone, evaluates failure quality, maps the trap pocket, and checks whether opposite pressure confirms after trapped participants are created. ⚙️ Methodology 1. Continuation Bias Detection The script uses fast and slow EMAs to define the active continuation bias. 2. Attempt Mapping When price attempts continuation beyond recent structure, the script records the attempt level and builds an attempt zone. 3. Failure Evaluation After the attempt, the script watches a defined failure window to detect rejection back through the attempt level. 4. Trap and Pressure Scoring Trap quality uses rejection wick behavior, relative volume, and failure timing. 5. Visual Output The chart displays the attempt zone, trap pocket, opposite-pressure rail, centered trap label, event labels, right-side tags, alerts, and a compact AG Pro decision panel. 🗺️ How to Read the Chart Attempt Zone = the area around the continuation level where breakout or continuation participants may enter. Trap Pocket = the area where failed continuation can create trapped participants. Opposite-Pressure Rail = the level used to read whether the failed continuation is turning into stronger pressure against the attempt. Centered Trap Label = the main visual anchor inside the active trap pocket. Event Labels = compact labels for attempts, long traps, short traps, and pressure confirmation. Right-Side Tags = current trap state, attempt level, and pressure quality. Panel = summarizes trap state, attempt type, trapped side, trap quality, pressure quality, next context, and timeframe. 🚦 Signals & States • ATTEMPT ACTIVE → price attempted continuation and is still inside the failure evaluation window. • TRAP ACTIVE → the continuation attempt failed back through the attempt level. • OPPOSITE PRESSURE → price confirmed pressure away from the failed continuation attempt. • CONTINUATION HOLD → the attempt is holding beyond the continuation zone. • ATTEMPT EXPIRED → the attempt did not create a timely failure or pressure signal. • WAIT ATTEMPT → no valid continuation attempt is active. 🔔 Alerts Logic Alerts trigger when a major continuation-failure state appears. • Continuation Attempt → price attempted continuation beyond recent structure. • Failed Continuation Trap → continuation attempt failed back through the attempt zone with trap quality. • Opposite Pressure Confirmed → opposite pressure confirmed after a failed continuation attempt. Alerts are attention markers, not trade instructions. 🧩 Confluence Logic The context becomes stronger when: • Continuation bias is clear • Price attempts continuation beyond recent structure • The attempt fails back through the zone quickly • Rejection wick quality is strong • Relative volume supports participation • Opposite-pressure rail confirms after the trap • The panel state agrees with the chart labels If these elements do not align, the script avoids forcing a trap interpretation. 📊 When to Use • Breakout failure analysis • Failed continuation review • Trend continuation trap studies • Intraday and swing market-structure analysis • Crypto, forex, stocks, and index markets • 1H, 4H, and daily charts • Markets where continuation attempts are common and readable ⚠️ When NOT to Use • Very low-liquidity symbols • Extremely sideways markets with no continuation bias • News-driven candles that distort rejection quality • Ultra-low timeframes with excessive noise • Markets where recent structure is too compressed to define a clean attempt zone • Situations where a single failed attempt should not be treated as a standalone decision 🎛️ Key Inputs • Fast EMA Length → defines the faster continuation-bias component. • Slow EMA Length → confirms the broader continuation direction. • ATR Length → normalizes attempt zones, trap pockets, labels, and failure levels. • Continuation Breakout Lookback → defines recent structure used to identify continuation attempts. • Failure Evaluation Window → controls how long after an attempt the script can classify failure. • Attempt Zone ATR → controls the thickness of the continuation attempt zone. • Trap Wick Threshold → defines how much rejection quality is needed before a failure becomes trap context. • Use Volume Confirmation → adds relative volume to trap-quality scoring. • Projection Bars → controls how far zones, rails, and right-side tags project. • Label Font Size → controls chart label and tag text size. • Panel Font Size → controls panel text size. 🖥️ Interface & Visual Design The visual hierarchy is built around the failed-continuation story. The attempt zone shows where continuation was attempted. The trap pocket shows where trapped participants may become part of the next narrative. The opposite-pressure rail gives a clean reference for pressure confirmation. The centered badge keeps the active trap context readable at first glance. The AG Pro panel summarizes the current trap state without forcing the user to decode every element manually. 🧪 Practical Usage Workflow 1. Let the script identify the active continuation bias. 2. Watch for an attempt beyond recent structure. 3. Check whether the attempt holds or fails back through the zone. 4. If trap context appears, watch the opposite-pressure rail. 5. Use the panel to confirm trap state, trapped side, and quality scores. 6. Interpret the output inside broader trend, liquidity, volatility, and support/resistance context. 🔍 Interpretation Guidelines A continuation attempt does not guarantee follow-through. It means price attempted to move beyond recent structure in the trend direction. A trap active state does not guarantee reversal. It means the continuation attempt failed back through the attempt zone with enough quality to deserve attention. Opposite pressure does not guarantee trend change. It means trapped participants may be adding pressure against the attempted continuation. The strongest readings occur when trap state, pressure rail, and broader market context align. 🚫 What This Script Is NOT This script is not a prediction engine. It is not financial advice. It is not an auto-trading system. It does not provide guaranteed entry or exit signals. It is not a generic breakout indicator. It is not a simple reversal marker. ⚠️ Limitations & Transparency EMA bias can lag during fast reversals. Failure windows may miss slow-developing traps. Low-liquidity markets can produce misleading wick behavior. High volatility can make attempt zones wider or less stable. Timeframe differences can change how continuation attempts appear. The script is designed for structured interpretation, not certainty. 🧠 Market Context Notes Failed continuation traps often matter most when traders are leaning heavily in one direction and price fails to reward that pressure. The same failed attempt can have different meaning in a strong trend, range, liquidity sweep, or volatility shock. The script should be read together with broader structure, volume, liquidity, and trend context. 🧾 Use Case Examples • If price attempts upside continuation and then closes back below the attempt level with a strong upper wick, the script may show long-trap context. • If price attempts downside continuation and then rejects back above the attempt level, the script may show short-trap context. • If price continues beyond the pressure rail after a trap, the script may show opposite-pressure confirmation. 🧱 System Philosophy Failed Continuation Trap Map is part of the AGPro Series approach to decision-support tools: clear structure, premium chart readability, honest interpretation, and no promise of certainty. The goal is to help traders see when continuation logic breaks, without turning every failure into a forced reversal signal. 🔐 Non-Promise Statement No script can know the future. No failed continuation guarantees reversal. No signal should be interpreted without broader market context. 📉 Risk Disclosure Trading involves risk. Markets can move unpredictably. This script is for educational and analytical purposes only. It does not provide financial advice or guaranteed trading outcomes. Users remain responsible for their own decisions. 📚 Educational Note Use this script to study how continuation attempts fail and how trapped participants can affect the next phase of market behavior. The value is not only in the trap label. The value is in learning when a continuation narrative is accepted, rejected, or converted into opposite pressure.
Indicatore Pine Script®
di AGProLabs
Session Bias Relay Map [AGPro Series]Session Bias Relay Map 🧠 Core Idea Did Asia, London, and New York pass the same bias forward, or did the next session reject the market narrative? 📌 Overview / What it does Session Bias Relay Map is an intraday session-structure tool built to visualize how directional bias moves from one major trading session to the next. The script tracks Asia, London, and New York session ranges, scores each session's directional bias, and classifies whether the active session confirms, conflicts with, or reverses the previous session's narrative. It does not predict price direction, automate trades, or claim that a session handoff must continue. It is a structured visualization and decision-support map for session bias, market narrative, and intraday context. 🎯 Purpose & Design Philosophy Many session tools draw boxes, highs, lows, or kill zones. This script was built to answer a more contextual question: Did the next major session accept the prior session's directional story, or did it break the handoff? The design goal is to help traders read sessions as a relay of market intent instead of isolated time windows. It supports discretionary market reading, session review, and intraday structure analysis. ⚡ Why This Script Is Different Most session indicators focus on time blocks, session highs, and session lows. This script does NOT stop at drawing session boxes. Instead, it evaluates how each session behaves relative to the prior session. It scores bias strength, detects handoff confirmation, identifies conflict, and highlights reversal pressure when the active session builds a strong opposite narrative. ⚙️ Methodology 1. Session Detection The script tracks configurable Asia, London, and New York session windows using the chart symbol's exchange timezone. 2. Session Range Mapping For each session, it records open, high, low, close, midpoint, bar count, and live range behavior. 3. Bias Scoring Session bias is scored using body pressure, close location inside the session range, and optional relative volume confirmation. 4. Relay Evaluation London is compared against the completed Asia bias. New York is compared against the completed London bias. 5. Visual Output The chart displays session boxes, midpoint rails, centered session labels, relay event labels, right-side tags, alerts, and a compact AG Pro decision panel. 🗺️ How to Read the Chart Session Boxes = the active session range built from each configured time window. Centered Labels = the session name, current bias, relay state, and quality score. Midpoint Rails = the middle of each session range, useful for reading control and balance. Relay Event Labels = confirmation, conflict, or reversal events when a later session responds to the prior session. Right-Side Tags = the current relay state and active session bias. Panel = summarizes active session, relay state, bias score, prior session, session quality scores, next context, and timeframe scope. 🚦 Signals & States • RELAY CONFIRMED → the active session supports the previous session's directional bias. • RELAY REVERSAL → the active session builds strong bias opposite to the previous session. • BIAS CONFLICT → the active session does not clearly confirm the previous session. • FIRST LEG → Asia is building the first session bias for the daily relay. • WAIT HANDOFF → the active handoff does not yet have enough evidence. • BULLISH → the session is closing with bullish range pressure. • BEARISH → the session is closing with bearish range pressure. • NEUTRAL → the session does not have enough directional pressure. 🔔 Alerts Logic Alerts trigger when a major relay state appears. • Session Bias Relay Confirmed → the active session confirmed the directional bias passed from the previous session. • Session Bias Conflict → the active session failed to confirm the previous session and is showing conflict. • Session Bias Reversal → the active session built strong bias opposite to the previous session. Alerts are attention markers, not trade instructions. 🧩 Confluence Logic The context becomes stronger when: • The previous session has a clear directional bias • The active session has enough bars to evaluate • The active session bias score is above the confirmation threshold • Price closes with clear range position • Relative volume supports participation • The relay label and panel state agree If these elements do not align, the script avoids forcing a strong directional interpretation. 📊 When to Use • Intraday session analysis • Forex, crypto, index futures, and liquid stock index products • Asia-to-London handoff review • London-to-New-York handoff review • Market narrative tracking • Session range and bias studies • 15m, 30m, 1H, and 2H charts ⚠️ When NOT to Use • Daily, weekly, or monthly charts • Very low-liquidity symbols • Markets with irregular or meaningless session windows • Extremely noisy conditions where session closes do not carry useful information • Situations where a single session should not be over-interpreted • Symbols where the chart exchange timezone does not match the intended session model 🎛️ Key Inputs • Asia Session → defines the first session window used to build the initial bias. • London Session → defines the second session window used to evaluate the Asia handoff. • New York Session → defines the third session window used to evaluate the London handoff. • Max Chart TF Minutes → limits the largest timeframe that should build the relay map. • Bias Confirmation Threshold → controls how strong a session must be before it can confirm a relay. • Conflict Threshold → controls when a session is treated as weak or conflicted. • Minimum Handoff Bars → prevents early-session noise from printing premature relay labels. • Use Volume Confirmation → adds relative volume pressure to the bias score. • Show Session Boxes → controls the main visual range boxes. • Show Relay Event Labels → controls confirmation, conflict, and reversal labels. • Label Font Size → controls chart label and tag text size. • Panel Font Size → controls panel text size. 🖥️ Interface & Visual Design The visual hierarchy is built around the session relay story. Session boxes define the time windows. Centered labels make each session readable without hunting through the chart. Relay labels highlight the important handoff moments. Right-side tags keep the current state visible. The AG Pro panel summarizes the active session context in a clean, compact format. 🧪 Practical Usage Workflow 1. Choose session windows that match the market being studied. 2. Let Asia build the first bias leg. 3. Watch whether London confirms, conflicts with, or reverses Asia. 4. Watch whether New York confirms, conflicts with, or reverses London. 5. Use the panel to check relay state, active bias, quality score, and timeframe scope. 6. Interpret the result inside broader market structure, liquidity, and volatility context. 🔍 Interpretation Guidelines A relay confirmation does not guarantee continuation. It means the active session is supporting the prior session's directional bias according to the script's rule set. A relay reversal does not guarantee a full trend reversal. It means the active session is building strong opposite pressure relative to the previous session. A bias conflict is not a failure. It is useful information that the market narrative is not clean. The best use is contextual: combine the relay state with support, resistance, liquidity, volume, and higher-timeframe structure. 🚫 What This Script Is NOT This script is not a prediction engine. It is not financial advice. It is not an auto-trading system. It does not provide guaranteed entry or exit signals. It is not a generic session box indicator. It is not a kill-zone strategy. ⚠️ Limitations & Transparency Session settings matter. Poorly selected session windows can produce weak or misleading context. Timeframe differences can affect how session handoffs appear. Low-liquidity markets can distort bias scores. Markets with irregular trading hours may need custom session inputs. Relative volume can help, but it does not guarantee better interpretation in every market. 🧠 Market Context Notes Session behavior is often shaped by liquidity, regional participation, volatility expansion, and macro timing. The same relay state can mean different things depending on whether the market is trending, ranging, or reacting to news. The script is strongest when used as a narrative map, not as a standalone decision machine. 🧾 Use Case Examples • If Asia builds a bullish range and London also closes with strong bullish pressure, the relay may show confirmation. • If Asia builds bullish pressure but London quickly forms strong bearish pressure, the relay may show reversal. • If London begins with weak movement and no clear range pressure, the relay may show conflict or wait for more evidence. 🧱 System Philosophy Session Bias Relay Map is part of the AGPro Series approach to decision-support tools: clear structure, premium chart readability, honest interpretation, and no promise of certainty. The goal is to help traders see market context faster without turning analysis into signal spam. 🔐 Non-Promise Statement No script can know the future. No session handoff is guaranteed. No signal should be interpreted without broader market context. 📉 Risk Disclosure Trading involves risk. Markets can move unpredictably. This script is for educational and analytical purposes only. It does not provide financial advice or guaranteed trading outcomes. Users remain responsible for their own decisions. 📚 Educational Note Use this script to study how market participation changes across sessions. The value is not only in the label. The value is in learning how the session narrative develops, confirms, conflicts, or reverses over time.
Indicatore Pine Script®
di AGProLabs
Stop Cluster Magnet Map [AGPro Series]Stop Cluster Magnet Map 🧠 Core Idea Where are clustered stops likely sitting, and is price being pulled toward them or rejecting after a sweep? 📌 Overview / What it does Stop Cluster Magnet Map is a rule-based liquidity and market-structure visualization tool designed to identify repeated swing-high and swing-low areas where stop orders may cluster. The script maps upper and lower stop-cluster zones, grades their quality, tracks magnet pressure, and highlights potential sweep or rejection behavior after price interacts with those zones. It does not predict future price direction, automate trades, or claim that any stop cluster must be taken. It only visualizes structural conditions that may deserve attention. 🎯 Purpose & Design Philosophy This script was built to solve a common chart-reading problem: traders often talk about liquidity above highs or below lows, but many tools do not clearly separate clustered stop areas from random swing points. The design goal is to make stop-cluster context visible at a glance without turning the chart into a noisy signal machine. It helps traders who study price action, liquidity sweeps, equal highs, equal lows, stop hunts, and structural reaction zones. ⚡ Why This Script Is Different Most tools mark every swing high or swing low as if each level has the same importance. This script does NOT treat every pivot as meaningful liquidity. Instead, it looks for repeated nearby swing points, builds a mapped stop-cluster zone, grades the cluster, tracks magnet pressure, and separates sweep behavior from simple proximity. ⚙️ Methodology 1. Context Detection The script detects confirmed swing highs and swing lows using a configurable pivot length. 2. Reference Mapping Nearby repeated swing highs are grouped into an upper stop cluster, while nearby repeated swing lows are grouped into a lower stop cluster. 3. Reaction Evaluation The script evaluates distance, recency, number of touches, sweep events, and post-sweep close behavior. 4. Visual Output The active stop-cluster zones, magnet rail, right-side tags, event labels, and decision panel are displayed using a clean AGPro visual hierarchy. 🗺️ How to Read the Chart Zones represent areas where repeated highs or lows have created potential clustered stops. Labels identify important events such as upper stops, lower stops, magnet pressure, and sweep behavior. Colors follow the AGPro visual language: teal for lower-side or recovery-oriented context, pink for upper-side or risk-oriented context, yellow for neutral attention, and indigo for magnet reference. The panel summarizes the current magnet state, score, upper/lower cluster quality, cluster prices, sweep risk, next context, and active timeframe. 🚦 Signals & States • UPPER STOPS → repeated swing highs have formed a valid upper stop cluster • LOWER STOPS → repeated swing lows have formed a valid lower stop cluster • UPSIDE MAGNET → price is near a higher-quality upper stop cluster • DOWNSIDE MAGNET → price is near a higher-quality lower stop cluster • UPPER SWEEP → price moved above the upper cluster and closed back inside • LOWER SWEEP → price moved below the lower cluster and closed back inside • BALANCED CLUSTERS → both upper and lower clusters are active, with no dominant side 🔔 Alerts Logic Alerts can trigger when a new upper or lower stop cluster becomes valid, when price sweeps a stop cluster and closes back inside, or when the dominant magnet side changes. These alerts are attention markers only. They are not buy or sell signals. 🧩 Confluence Logic (Optional) The context becomes stronger when a valid stop cluster has multiple touches, remains recent, price approaches the cluster, and sweep behavior appears with a close back inside the mapped zone. Cluster quality plus proximity plus reaction behavior creates a stronger read than any single condition alone. 📊 When to Use • Around equal highs or equal lows • During range-bound markets where stop pools may form • Before or after liquidity sweeps • When price is approaching a visible cluster of prior swing points • When evaluating whether a move is targeting external liquidity ⚠️ When NOT to Use • In extremely illiquid markets • During chaotic news-driven candles • When price history is too short to build reliable clusters • When the chart is dominated by random spikes rather than readable structure • As a standalone entry or exit system 🎛️ Key Inputs • Swing Pivot Length → controls how swing highs and lows are confirmed • Cluster Validity Lookback → controls how long a cluster remains relevant • Minimum Cluster Touches → controls how many nearby pivots are needed • Cluster Width ATR → controls how wide each stop-cluster grouping can be • Magnet Nearness ATR → controls how sensitive magnet proximity becomes • Visual settings → control zones, labels, right-side tags, panel, and font sizes 🖥️ Interface & Visual Design The interface is designed for fast chart reading. The panel gives the current decision context. Zones show where clustered stops may sit. Labels mark key events. Right-side tags keep current levels readable without forcing the trader to inspect every candle. The layout is intentionally clean, premium, and structured for public-chart screenshots. 🧪 Practical Usage Workflow 1. Read the panel to identify the current magnet state. 2. Check whether the upper or lower stop-cluster zone is active. 3. Watch how price behaves near the mapped cluster. 4. Evaluate whether a sweep closes back inside or continues beyond the zone. 5. Use broader market context before making any decision. 🔍 Interpretation Guidelines A strong stop cluster does not mean price must move there. A sweep does not automatically mean reversal. The best interpretation comes from combining cluster quality, distance, market structure, volume behavior, volatility, and the trader's own higher-timeframe context. 🚫 What This Script Is NOT This script is not a prediction engine. It is not financial advice. It is not an automated trading system. It does not provide guaranteed signals. It does not know where actual broker stop orders are placed. ⚠️ Limitations & Transparency The script estimates stop-cluster areas using visible chart structure only. Different timeframes may show different clusters. High volatility can expand zones and change quality scores quickly. Market conditions can shift, and a previously important cluster may lose relevance over time. 🧠 Market Context Notes (Optional) Stop clusters often matter because repeated highs and lows can become obvious reference points. When many traders see the same level, price may react around that area, sweep it, reject from it, or continue through it. This script is designed to make that structural pressure easier to observe. 🧾 Use Case Examples (Optional) When price approaches an upper stop cluster with a high quality score, the trader can monitor whether the market sweeps above it and closes back inside. When lower stops cluster beneath a range, the trader can watch whether price is being pulled toward downside liquidity or rejecting before reaching it. 🧱 System Philosophy (Advanced) The AGPro approach focuses on structured decision support, not hype. This script turns repeated swing references into a readable liquidity map so traders can evaluate context instead of reacting to isolated candles. 🔐 Non-Promise Statement No script can guarantee outcomes. Stop-cluster mapping is a contextual tool, not certainty. 📉 Risk Disclosure Trading involves risk. Users are fully responsible for their own analysis, risk management, and trading decisions. This script is provided for educational and analytical purposes only and does not constitute financial advice. 📚 Educational Note (Optional) Use this tool to study how repeated highs, repeated lows, sweeps, and reactions appear across different timeframes. The goal is to improve market observation, not to replace disciplined analysis.
Indicatore Pine Script®
di AGProLabs
2
Confluence S/R Engine MTF Strength Map [MLI]# Confluence S/R Engine — Multi-TF Strength Map A multi-method, multi-timeframe support and resistance zone indicator designed to identify price areas where multiple independent market structure signals overlap. The script combines structural, volumetric, and higher-timeframe reference levels into composite zones and assigns each zone a relative strength score from 0–10 based on confluence factors such as method diversity, timeframe participation, recency, and cluster tightness. This indicator is intended to provide a visual map of potentially relevant market structure areas. It does not generate buy/sell signals or provide trading advice. --- ## Features * Multi-timeframe support and resistance zone mapping * Composite confluence scoring system * Anchored VWAP integration * Anchored Volume Profile POC / VAH / VAL levels * Multi-timeframe pivot structure * Fibonacci VWAP deviation bands * Naked POC tracking * Absorption-style candle detection * Dynamic zone rendering with opacity scaled by score * Snapshot table summarizing current zone state * Optional automatic lookback scaling by chart timeframe --- ## Methods Included ### Tier A * Anchored Volume Profile POC * Naked POCs * Institutional-style anchor candle highs/lows * Absorption-anchor candle H/L/C * Higher-timeframe VP-POCs ### Tier B * Value Area High / Low * Native swing extremes * Anchored VWAP * Fibonacci 0.618 VWAP bands ### Tier C * Multi-timeframe pivot highs/lows ### Tier D * AVWAP ±1σ bands * Fibonacci 0.382 bands * Prior swing references ### Tier E * AVWAP ±2σ bands * Fibonacci 1.0 bands * Higher-timeframe closes --- ## Zone Scoring Each zone is evaluated across multiple dimensions: * Level quality * Method diversity * Timeframe diversity * Recency * Cluster tightness Zones are scored on a 0–10 scale to help visually compare relative confluence strength. --- ## Visual Interpretation * Green zones: support-oriented regions * Red zones: resistance-oriented regions * Yellow-green zones: higher-strength support clusters * Yellow-orange zones: higher-strength resistance clusters Higher-opacity zones represent stronger composite scores. --- ## v2.3 Updates * Added automatic timeframe-based lookback scaling * Added institutional-style snapshot table * Improved rendering and internal optimization routines * Reduced redundant calculations and cleaned rendering flow --- ## Notes This script is designed as a chart-analysis tool and should be used alongside individual risk management and independent market analysis. No indicator can predict future price movement with certainty. --- ## Disclaimer For educational and informational purposes only. This script does not constitute financial advice, investment advice, or a recommendation to trade any financial instrument. Trading involves risk, and users are solely responsible for their own decisions and risk management.
Indicatore Pine Script®
di Market_Logic_India
Breakout Participation Gate [AGPro Series]Breakout Participation Gate 🧠 Core Idea Does the breakout have enough participation and structure to deserve attention? 📌 Overview / What it does Breakout Participation Gate is a breakout validation tool built to separate structured breakouts from weak breaks and fakeout-prone moves. The script builds upper and lower breakout gate levels from recent structure, evaluates breakout candle quality, checks relative volume, body commitment, close location, trend context, retest behavior, expansion potential, and fakeout risk. It does not predict price direction, automate trades, or claim that a gate-open event must continue. It is a structured visualization and decision-support tool for breakout participation review. 🎯 Purpose & Design Philosophy Breakouts are among the most searched and most misunderstood market events. Many tools mark every move above resistance or below support. This script was built to ask a stricter question: Did the breakout pass the participation gate? The design goal is to help traders avoid treating every structural break as equally meaningful. ⚡ Why This Script Is Different Most breakout tools focus on the break itself. This script does NOT mark every breakout as valid. Instead, it checks whether the breakout had enough relative volume, body commitment, close location, range expansion, trend context, and retest behavior. It also keeps the active gate visible so users can watch whether the breakout holds, expands, or fails back inside the structure. ⚙️ Methodology 1. Context Detection The script identifies recent upper and lower gate levels using a structure lookback. 2. Breakout Qualification When price closes beyond a gate, the script scores participation through volume, candle body, close location, range expansion, and trend context. 3. Gate Classification High-quality breakouts can become GATE OPEN events. Lower-quality breaks can be classified as WEAK BREAK. 4. Retest Evaluation After a gate opens, the script projects a retest shelf and watches whether price defends the shelf. 5. Fakeout and Expansion Review The script tracks whether price closes back inside the gate shelf or expands beyond the active gate with acceptable participation. 6. Visual Output The chart displays breakout gate lines, retest shelf, event labels, right-side tags, alerts, and a compact AG Pro panel. 🗺️ How to Read the Chart Upper Gate = recent upper structure level that price must break to start an upside gate evaluation. Lower Gate = recent lower structure level that price must break to start a downside gate evaluation. Breakout Retest Shelf = the active zone around the gate where retest behavior is evaluated. GATE OPEN = breakout passed the participation gate. WEAK BREAK = price broke the gate but participation quality was not strong enough. RETEST HOLD = price defended the active retest shelf after the breakout. FAKEOUT RISK = price closed back inside the gate shelf after the breakout. EXPANSION READY = price expanded beyond the gate while participation remained acceptable. Panel = summarizes gate status, quality score, direction, relative volume, body commitment, retest health, fakeout risk, and next context. 🚦 Signals & States • GATE OPEN → breakout passed the participation gate. • WEAK BREAK → price broke structure but did not show enough participation quality. • GATE WATCH → active gate is being monitored after a breakout. • RETEST HOLD → active retest shelf was defended. • FAKEOUT RISK → price closed back through the gate shelf. • EXPANSION READY → price expanded beyond the gate with acceptable participation. • WAIT BREAKOUT → no active gate has been triggered. 🔔 Alerts Logic Alerts trigger when a major breakout-gate state appears. • Breakout Gate Open → breakout passed the participation gate. • Weak Breakout → price broke a gate level without enough participation quality. • Breakout Retest Hold → active retest shelf was defended. • Breakout Fakeout Risk → price closed back inside the gate shelf after the breakout. Alerts are attention markers, not trade instructions. 🧩 Confluence Logic The context becomes stronger when: • Price closes beyond a defined structure gate • Relative volume is above normal • Candle body commitment is strong • Close location supports the breakout direction • Range expands versus ATR • The breakout direction agrees with trend context • Retest behavior respects the active gate shelf When these elements do not align, the script avoids treating the breakout as automatically valid. 📊 When to Use • Breakout validation • Failed breakout review • Retest planning • Trend continuation review • Crypto, stocks, futures, forex, and liquid markets • 15m, 30m, 1H, 4H, and 1D charts ⚠️ When NOT to Use • Very low-liquidity assets • Extremely noisy micro timeframes • Symbols with unreliable volume • News-driven spikes where structure can be distorted • Markets where every wick break is being over-interpreted • Situations where a single breakout label is expected to act as a guaranteed signal 🎛️ Key Inputs • Gate Structure Lookback → defines the recent structure window used for upper and lower gates. • Breakout Close Buffer ATR → controls how far beyond the gate price must close. • Minimum Breakout Relative Volume → defines how much participation is required for strong volume credit. • Minimum Body Commitment % → controls how much candle body participation is required. • Gate Quality Threshold → separates gate-open breakouts from weak breaks. • Retest Evaluation Window → defines how long the active gate shelf remains under review. • Retest Shelf Width ATR → controls the thickness of the retest shelf around the active gate. • Expansion Ready Distance ATR → defines when a breakout has expanded far enough to be monitored as continuation-ready. • Event Label Mode → Premium focuses on higher-quality gate states. Detailed allows more weak-break labels. 🖥️ Interface & Visual Design The visual hierarchy is built around the gate: Gate lines define the structure. The retest shelf shows where the breakout should hold. Event labels mark gate-open, weak-break, retest-hold, fakeout-risk, and expansion-ready states. Right-side tags keep the active gate context visible. The AG Pro panel compresses the current breakout context into a fast, readable summary. 🧪 Practical Usage Workflow 1. Read the panel gate status. 2. Check whether price has broken the upper or lower gate. 3. Compare quality score with the event label. 4. Watch the active retest shelf. 5. Check whether price holds, expands, or fails back inside the gate. 6. Confirm with broader market structure, liquidity, volume, and risk planning. 🔍 Interpretation Guidelines A gate-open label does not guarantee continuation. A weak-break label does not guarantee reversal. A retest-hold label means the active shelf was defended according to the script's rules. A fakeout-risk label means the breakout structure weakened. The script is best used as a breakout-quality layer, not as a standalone trading system. 🚫 What This Script Is NOT This script is not a prediction engine. It is not financial advice. It is not an auto-trading system. It does not provide guaranteed entry or exit signals. It is not a simple support/resistance breakout marker. ⚠️ Limitations & Transparency Breakout quality depends on market structure and liquidity. Volume behavior can differ across crypto, futures, stocks, and forex. Choppy ranges can create repeated weak-break and fakeout states. Different timeframes may show different gate behavior. Highly volatile news events can distort breakout quality. 🧠 Market Context Notes Breakouts are strongest when structure, candle commitment, participation, and retest behavior align. The first break is only one part of the story. The active gate shelf helps users watch whether the market accepts the breakout after the first impulse. 🧾 Use Case Examples If price closes above the upper gate with strong participation, the script may mark GATE OPEN. If price breaks a gate but quality is weak, the script may mark WEAK BREAK. If price returns to the active shelf and defends it, the script may mark RETEST HOLD. If price closes back through the shelf, the script may mark FAKEOUT RISK. 🧱 System Philosophy The goal is not to chase every breakout. The goal is to filter breakout attention. This script treats breakout quality as a sequence: structure break → participation gate → retest shelf → expansion or failure. 🔐 Non-Promise Statement No breakout label guarantees continuation. No weak-break label guarantees reversal. No retest label guarantees a successful trend move. All outputs should be interpreted as analytical context. 📉 Risk Disclosure Trading involves risk. This script is for educational and analytical purposes only. It does not provide financial advice, investment advice, or guaranteed trading outcomes. Users are fully responsible for their own decisions, risk management, and trade execution. 📚 Educational Note Use the script to study which breakouts attract real participation and which breaks fail to hold their gate. The most useful question is not only whether price broke structure. The better question is whether the breakout deserved attention after the break.
Indicatore Pine Script®
di AGProLabs