Two Sigma Factor Composite [JOAT]TWO SIGMA FACTOR COMPOSITE
A tribute to the multi-factor approach pioneered by Two Sigma — long-only, long/short, and risk-premia funds that decompose returns into orthogonal factor exposures, normalise each factor onto the same statistical scale, and combine them into a single signed score. Two Sigma Factor Composite builds five canonical factors (Momentum, Quality, Value, Volatility, Mean-Reversion), Z-normalises each against a rolling baseline, sum-normalises the user-controllable weights, and outputs a composite score with signal labels, factor sparklines on the chart, and a rolling hit-rate backtest.
The five factors
Each factor is computed independently and Z-normalised over a configurable window (default 100 bars) with optional outlier clipping (default ±4σ):
Momentum — return / volatility over the configurable momentum window (default 50 bars). The classic "trend" factor.
Quality — inverse of recent realised volatility (default 50-bar window). Lower volatility = higher quality; an asset that has been calmer is treated as higher quality, consistent with academic factor research.
Value — deviation from a long mean (default 200-bar SMA). Negative deviation = "cheap" (positive value factor exposure); positive deviation = "expensive". The classical cross-sectional value definition, adapted to time series.
Volatility — percentile rank of recent realised volatility (default 20-bar stdev percentile-ranked over 252 bars). High vol = negative factor; low vol = positive factor.
Mean-Reversion — signed deviation from a 20-bar mean (default). Captures short-term reversion bias.
Each factor's window is independently configurable. All five outputs are Z-scores capped at ±4σ to prevent any single outlier from dominating the composite.
Sum-normalised weights
Five weight sliders (default 1.0 each) are normalised internally so any positive combination is valid. Default equal weight is the most defensible baseline; tune individual weights to bias the composite. Want a pure momentum + quality read? Set the others to 0.1 and Momentum/Quality to 2.0. The composite reshapes itself live.
Signal engine — bounded composite with three tiers
The composite is bounded by the clipping cap. The signal engine layers three thresholds:
Buy — composite crosses above the buy threshold (default +1.0σ).
Sell — composite crosses below the sell threshold (default −1.0σ).
Extreme Bull / Extreme Bear — |composite| crosses ±2.0σ. The script's strongest read.
A configurable signal cooldown (default 10 bars) prevents clustering.
Factor sparklines (the signature visual)
The script renders inline sparklines on the chart for all five factors — small line plots that visually show each factor's recent Z trajectory. Configurable base offset (vertical position below zero), row spacing, amplitude, and per-row transparency mapping. At a glance you see which factors are driving the composite and which are flat.
When all five sparklines lean the same way, the composite is high-confidence. When they disagree, the composite is a weighted compromise — the sparklines tell you the truth that a single number cannot.
Visual system
Composite line (configurable width, default 3px) with sign-coloured fill toward zero (configurable transparency).
Threshold lines at ±buyTH and ±extremeTH (configurable transparency).
Buy / Sell labels on chart on threshold crosses.
Factor sparklines — five inline Z-trajectory plots in the pane.
Optional chart-background override to follow chart.bg_color.
A locked Emerald Night palette: vivid green bull / vivid red bear / sage mid on a deep emerald background — strict 2-hue discipline with bg. No third colour invented anywhere; all variations are transparency-only.
Dashboard
Monospaced table positionable to any of eight corners. Surfaces:
Composite Z value and sign.
Per-factor Z rows (Momentum / Quality / Value / Volatility / Mean-Reversion).
Factor agreement percentage (how many factors agree with composite sign).
Last signal direction with bars-ago.
Weight configuration in use.
Backtest stats row — rolling forward-N-bar hit rate (configurable lookahead, default 10 bars). The script's own performance audit.
Alerts
Five alert conditions, each independently controllable:
BUY Cross (composite crosses above buy threshold)
SELL Cross
Extreme Bull (composite > +2.0σ)
Extreme Bear (composite < −2.0σ)
Low Factor Agreement (% of factors agreeing falls below the configurable threshold, default 40%) — the script's "no edge" warning.
How to read it
Three reads, in order of conviction:
Extreme score with high factor agreement (e.g. composite > +2.0σ AND agreement > 80%) — the highest-conviction read the script produces. Four or five factors are pointing decisively one way, and the composite is at a statistical extreme.
Buy / Sell with sparkline confirmation — visual confirmation that the directional read is being driven by multiple factors, not just one. If the composite is bullish but only the Momentum sparkline is leaning, the read is fragile; if Momentum + Quality + Value + Mean-Reversion all lean, the read is robust.
Low Agreement alert — stand-aside signal. The factors disagree internally; the composite is a wash. Wait for re-alignment.
Suggested settings
Defaults (momentum 50 / quality vol 50 / value 200 / vol 20/252 / MR 20, Z window 100, ±4σ clip, ±1.0 buy/sell, ±2.0 extreme, 10-bar cooldown) are tuned for daily charts on broad indices — the timeframes where factor approaches are statistically meaningful. For lower timeframes drop all windows proportionally. For weekly+ keep defaults; factor reads on weekly are the canonical institutional horizons.
Originality / what's reused
The factor-investing framework is published academic finance — Fama-French 1992, Carhart 1997, AQR 2013, and many others. The five factors used here (Momentum, Quality, Value, Volatility, Mean-Reversion) are the canonical institutional factor set. The implementation here — the five-factor pipeline with each factor's window independently configurable, the rolling Z-normalisation with outlier clipping, the sum-normalised five-weight composition, the bounded-composite signal engine with three-tier thresholds, the inline factor sparklines render in the same pane, the rolling forward-bar hit-rate backtest, and the strict 2-hue alpha-only palette — is JOAT-original. No third-party code reused. The script is a tribute to Two Sigma-style factor-composite portfolio construction, not a direct replication of any proprietary Two Sigma model.
Limitations
The five factors are computed from chart data only — they are time-series proxies of the cross-sectional factors used in true multi-asset portfolios. The Z-normalisation needs the window populated; early bars give a warm-up read. The forward-N-bar hit-rate backtest is descriptive of recent signal behaviour under the current settings; it is not a predictive metric. Factor exposures historically underperform for extended periods — the dashboard's agreement row and the low-agreement alert exist specifically to warn you when the model is breaking down.
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-made with passion by jackofalltrades
Indicator
Stocks: Dashboard [invincible3]Stocks Dashboard is a professional all-in-one stock analysis dashboard built directly for PulseWire charts. It is designed to help investors, traders, and analysts quickly evaluate a stock using a combination of fundamental strength, valuation, financial health, income quality, shareholder return, and price momentum.
The indicator displays a clean table-based dashboard on the chart and converts raw financial and technical data into easy-to-read category scores. Instead of checking many separate financial ratios manually, this dashboard organizes the most important stock metrics into structured sections and gives a clear visual overview of the company’s current condition.
The dashboard includes composite scoring for Quality, Value, Growth, Financial Health, Income / Shareholder Return, and Momentum. Each category is scored from 0 to 100 and classified using simple rating labels such as Elite, Strong, Fair, Weak, or Risk. This allows users to quickly compare the strength and weakness of a stock across multiple dimensions.
The Valuation section includes important valuation metrics such as P/E TTM, Forward P/E, PEG Ratio, P/S, P/B, EV/EBITDA, EV/Sales, Earnings Yield, Operating Earnings Yield, Graham Price, Graham Number Upside, EPS TTM, and BVPS. These metrics help identify whether a stock may be expensive, fairly valued, or potentially undervalued.
The Quality section focuses on profitability and business efficiency. It includes ROE, Asset Return / ROA, ROIC, Piotroski F-Score, Gross Margin, Operating Margin, Net Margin, EBITDA Margin, and Free Cash Flow Margin. These values help evaluate how efficiently the company generates profits from its assets, equity, capital, revenue, and operations.
The Growth section tracks the company’s expansion profile using Revenue Growth, EPS Growth, and Sustainable Growth Rate. These metrics help users understand whether the business is improving, stagnating, or losing earnings momentum.
The Financial Health section evaluates balance sheet strength and risk. It includes Debt / Equity, Debt / Assets, Debt / EBITDA, Net Debt / EBITDA, Cash / Debt, Current Ratio, Quick Ratio, Interest Coverage, Altman Z-Score, Operating Cash Flow, and Free Cash Flow. This section is useful for identifying companies with strong liquidity, manageable debt, and lower financial risk.
The Income / Return section is designed for dividend and shareholder-return analysis. It includes Dividend Yield, Payout Ratio, Free Cash Flow Yield, DPS, Buyback Yield, and Buyback Ratio. These metrics help investors evaluate whether a company is returning value to shareholders through dividends, buybacks, and cash generation.
The Momentum section adds a technical view of the stock. It includes RSI 14, 1-month return, 3-month return, 6-month return, 12-month return, 6-month relative strength versus a selected benchmark, 12-month relative strength versus a selected benchmark, volatility, and moving-average trend using the 20, 50, and 200 daily moving averages.
The Snapshot section provides a quick summary of the selected stock, including current price, market capitalization, enterprise value, 52-week position, and distance from the 52-week high. This gives users a fast overview of where the stock is trading relative to its recent range.
Users can customize the stock symbol, benchmark/index symbol, financial period, table position, text size, color theme, and visible sections. The dashboard supports multiple professional themes, including Dark Terminal, Light Terminal, Emerald Pro, Royal Blue, and Amber Desk. Users can also enable or disable colored score backgrounds, score bars, alternating rows, colorful section headers, and directional symbols.
This indicator is useful for:
* Long-term stock analysis
* Fundamental screening
* Valuation comparison
* Dividend and shareholder-return review
* Financial health analysis
* Momentum confirmation
* Relative strength comparison against an index or benchmark
* Building a structured watchlist review process
The goal of this dashboard is to provide a fast, organized, and visually professional stock overview without requiring users to switch between multiple financial websites or separate indicators. It combines fundamental data and technical momentum into one compact chart-based table, making it easier to identify strong, weak, undervalued, overvalued, or financially risky stocks.
Note: The dashboard uses PulseWire’s available financial data. Some metrics may appear unavailable depending on the selected symbol, exchange, market, or financial data coverage. This tool is intended for analysis and research purposes only and should not be considered financial advice.
Indicator
Sweep and Cluster [JOAT]SWEEP AND CLUSTER
A two-stage liquidity-sweep engine. Most public "sweep" indicators print a label on every wick that pokes past a recent high or low — which is mostly noise. Sweep and Cluster requires two separate events to register a tradeable signal: first a strict 5-condition sweep, then a confirming cluster of price action in the rejection direction. The label that actually appears on the chart is the rare intersection — the moments where institutional stop-running is followed by genuine commitment in the opposite direction.
Stage 1 — Strict 5-condition sweep detection
A sweep is registered only when all of these are true on the same bar:
Real pivot reference — the swept level is an actual minor pivot (ta.pivothigh / ta.pivotlow) from the rolling cache, not a rolling max/min. A scan-depth input controls how far back to look; a minimum-age gate prevents self-reference.
Wick magnitude — the wick that exceeds the pivot must be at least Wick ATR Multiplier × ATR(14) (default 0.8 ATR). The KB-published strict threshold.
Wick dominance — wick length must be at least Wick/Range Ratio of the candle's total range (default 35%). The wick must dominate the bar's shape, not be a side-effect of a large body.
Closing direction — close must be back inside the swept level. A clean wick that closed beyond the pivot is a breakout, not a sweep — and is filtered out by construction.
Cooldown — at least N bars (default 8) since the last same-side sweep. Prevents one stop-run from being counted as multiple sweeps when the wick prints over several bars.
If all five conditions are met a pending marker is placed (optional). Pending markers represent "a sweep happened" but not yet "the sweep was meaningful" — until the cluster confirms, the sweep is not actionable.
Stage 2 — Cluster confirmation
After a sweep fires, the next N bars (cluster window, default 5) are monitored for confirming follow-through. The cluster confirms only when:
At least M bars (default 1) close against the swept direction inside the window.
Average body/range across the qualifying cluster bars exceeds the Min Body Ratio (default 0.25) — the rejection candles must be impulsive, not micro-bodies.
Cumulative volume across the cluster window is at least Volume Multiplier × Average Volume (default 0.8×). Without volume the cluster is not commitment.
When all three confirm, the script fires the SAC (Sweep And Cluster) label — the actionable signal. A cluster strength badge (body sum / ATR) is rendered next to the label so you can rank one SAC vs another at a glance.
A failed sweep marker (toggleable, off by default) tracks sweeps that expired without confirming — useful for auditing the false-positive rate visually and for choosing thresholds.
Visual system
Sweep wick highlight — a thin coloured line at the swept reference price, extended right by a configurable number of bars. Makes the rejection unmistakable.
Reference level triangle — small glyph at the actual pivot level that was swept.
Cluster candle override — when SAC fires, the confirming cluster candles are repainted in the active-side theme colour via plotcandle so the move stands out from background.
Optional background tint — fading directional bgcolor for a few bars after a confirmed SAC.
Optional bar paint by active bias — every bar painted bull/bear based on the most recent SAC. Off by default to preserve chart neutrality.
A locked Quantum palette (cyan-quantum bull / pink-quantum bear on a deep void) gives the chart a distinctive sweep-and-reverse identity.
Dashboard + rolling statistics
A monospaced table, positionable to any of nine corners, with vertical row-fade for premium feel. Surfaces:
Total sweeps and total SACs since the last session/day/week reset (configurable reset frame).
Rolling Confirmation Rate (% of recent sweeps that became SACs) over a configurable window (default 50). The script's own success metric.
Pending sweep status with bars-remaining-in-cluster-window.
Last SAC direction with strength badge and bars-ago.
Last failed sweep tag (when failed markers are enabled).
Confirmation Rate is the headline read — it lets you see whether the current threshold settings are producing meaningful or sparse signals on the instrument you are trading.
Alerts
Three alert conditions, each independently controllable:
Pending Sweep (Stage 1 fires)
SAC Confirmed (Stage 2 confirms)
SAC Failed (Stage 2 expires without confirming) — off by default
How to read it
Two reads, in order of conviction:
SAC Confirmed alert with a high strength badge — the script's intended signal. Liquidity was swept, a real rejection followed inside the window, and the rejection had body and volume. This is the actionable read.
Pending Sweep at a known structural level (S/R, supply/demand) — useful as a "watch for the cluster" warning. If the cluster confirms, you have a high-conviction reversal at a structural location.
In persistent trends the failed-sweep rate climbs — that is the script telling you the regime does not currently favour sweep-and-reverse setups; stand aside or use the script in the trend direction only.
Suggested settings
Defaults (pivot lookback 8, wick ATR 0.8, body ratio 0.35, cluster window 5) are tuned for 15m–1H on liquid markets. For scalping (1m–5m), drop pivot lookback to 4 and cluster window to 3. For HTF macro reads (4H+), raise pivot lookback to 12–20 and cluster window to 8. The strict-threshold wick filters (0.8 ATR + 35%) are intentionally institutional — loosen for less liquid instruments.
Originality
The implementation — the five-condition strict sweep gate, the rolling minor-pivot cache with age and scan-depth filters, the three-condition cluster confirmation, the cluster-strength badge calculation, the pending → confirmed → failed state machine, the wick-level highlight render, the plotcandle override for confirming bars, the rolling confirmation-rate metric, and the session-reset counter — is JOAT-original. No third-party code reused. The "sweep + reaction" pattern is well-known to professional tape readers; the strict double-gate implementation is built specifically for chart-based Pine data.
Limitations
A confirmed SAC requires the cluster window to elapse — by definition the signal carries the cluster window bars of lag relative to the sweep. This is intentional; the cluster is what makes the signal meaningful. Failed sweeps are expected — the confirmation rate metric is there for you to see and tune accordingly. The script is structure-aware (uses real pivots) but does not know about HTF structure; combine with a higher-timeframe S/R indicator for best fit.
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-made with passion by jackofalltrades
Indicator
Market Momentum Energy [ZurvanEG]⯁ Market Momentum Energy
◇ Overview
Market Momentum Energy is a directional energy oscillator designed to evaluate whether current market movement has enough strength, participation, and directional conviction to matter. Instead of measuring price change alone, it converts movement into a normalized energy reading that reflects direction, intensity, volatility context, participation, and movement quality.
It helps separate clean directional pressure from noise, low-volume drift, volatility expansion, compression, or late-stage exhaustion. Its purpose is to show whether movement has meaningful energy behind it, whether that energy is expanding or fading, and whether conditions are closer to ignition, weak movement, saturation, or possible reversal pressure.
◈ Core Framework
At its core, the indicator uses a motion-energy model that measures directional movement through price displacement or regression-based slope, then normalizes it against recent volatility for better comparison across regimes, instruments, and timeframes.
The motion reading is shaped through a power curve, while an optional effort layer can modulate it using volume or true range. After that, self-normalization keeps energy, thresholds, dead zones, saturation levels, and signal logic more stable across changing volatility conditions.
The framework also includes quality filtering, final energy smoothing, signal logic, energy bands, divergence detection, optional energy MA, adaptive visuals, candle coloring, signal-volume markers, alerts, and a compact info table.
◇ Signals
The signal system highlights energy ignition events. Signals are generated when energy crosses a defined threshold, with controls for quality, saturation, HMA-based short-term direction confirmation, re-arm behavior, and optional alternation.
◇ Signal Volume Markers
The indicator can draw transparent volume-based circles directly on signal candles. Circle size is based on cumulative volume over a user-defined lookback period, making it easier to identify signals that appear after unusually high participation. This feature is most meaningful on markets with reliable volume data.
◇ Energy Bands
The energy bands provide statistical context for the current energy reading. They help identify stretched momentum, possible exhaustion zones, or unusually strong directional expansion. To keep the chart clean, bands can appear only when energy gets close to them and remain visible for a few bars after activation.
◇ Dead Zone & Saturation
The dead zone marks areas where energy is too weak to be treated as meaningful. The saturation level marks areas where energy is already strong or potentially overextended. Together, they organize the oscillator into practical states: weak, active, strong, and overextended.
◇ Divergence
The divergence module detects confirmed regular divergence between price and energy. It can help identify cases where price makes new highs or lows while energy fails to confirm. Pivot confirmation and filtering conditions are included to reduce weak or irrelevant divergence marks.
◇ Visual System
The visual layer makes energy state easy to read at a glance. Energy is shown as a directional histogram with optional line view, optional energy MA, adaptive intensity, contraction fading, dead-zone shading, energy bands, candle coloring, and signal-volume circles on the price chart.
The coloring system helps distinguish expanding energy, contracting energy, positive and negative movement, weak zones, saturated conditions, and high-participation signal areas.
◇ Alerts
Configurable alerts are included for bullish signals, bearish signals, bullish divergence, and bearish divergence. They support monitoring and workflow automation, but should still be evaluated with broader market context and risk management.
◇ Info Table
The compact info table summarizes current energy, quality, and market state. It acts as a quick reference panel for identifying dead zone, active direction, or strong energy conditions without inspecting every plot manually.
◇ Use Case
Market Momentum Energy is intended for traders who want a clearer way to evaluate directional movement strength. It can help identify momentum ignition, monitor whether energy is expanding or fading, avoid low-energy noise, detect overextended conditions, and add context to possible reversal or continuation setups.
It may be useful for trend-following traders, momentum traders, discretionary price-action traders, and system builders who want a structured energy layer for filtering market conditions.
It helps answer questions such as:
⬦ Is the market moving with enough energy?
⬦ Is the move clean or choppy?
⬦ Is momentum expanding or fading?
⬦ Is energy holding above or below its moving average?
⬦ Did the signal appear after unusually high cumulative volume?
⬦ Is the signal early enough, or already near saturation?
⬦ Is price making a new extreme while energy fails to confirm?
⬦ Is the market in a low-energy dead zone?
◈ Conclusion
Market Momentum Energy is built for traders who want more than a basic momentum oscillator. By combining normalized motion, participation effort, quality filtering, energy bands, divergence detection, final smoothing, signal-volume visualization, adaptive visuals, alerts, and structured signal logic, it provides a broader view of directional market energy.
Rather than simply showing whether price is rising or falling, the indicator focuses on whether movement has enough strength, participation, and directional conviction to matter.
In short, Market Momentum Energy is a practical tool for evaluating the strength, quality, and state of market movement before acting on a trade idea.
Indicator
Markowitz Frontier Compass [JOAT]Markowitz Frontier Compass
Introduction
Markowitz Frontier Compass compares the chart symbol against a peer basket using inverse-volatility weights, correlation drag, diversification benefit, factor scores, and active risk budget.
This open-source indicator is designed as a context tool, not a standalone trading system. It focuses on explaining the current market state with restrained visuals and confirmed-bar logic where signals are used.
Core Concepts
1. Inverse-Volatility Basket
Each peer receives an inverse-volatility weight to form a portfolio-context benchmark.
2. Correlation Drag
Average pairwise correlation reduces diversification value when assets move together.
3. Factor Composite
Quality, momentum, low-volatility, and carry-style behavior are combined.
4. Risk Budget
Institutional grade, entropy, concentration, and factor state become active or defensive budget context.
frontierScore = efficiency + diversification - correlationDrag - concentration
Features
Peer basket context
Inverse-volatility weighting
Correlation drag and diversification benefit
Factor composite and allocation entropy
Risk-on, defense, and factor-prime states
Input Parameters
Peer symbols
Return window and smoothing
Risk-free annual percent
Correlation stress and concentration gates
Display toggles and HUD position
How to Use This Script
Use MFC as cross-asset context. Risk-on or factor-prime states suggest constructive basket behavior; defense states warn of stress.
Limitations
The script uses historical OHLCV data and cannot know future prices.
Signals and states can be late during fast reversals because confirmed-bar logic is used to reduce repainting.
Model outputs should be interpreted with market context, risk controls, and independent analysis.
No visual state should be treated as a certain trade outcome.
Originality Statement
MFC is original in combining portfolio theory, factor scoring, entropy, and risk-budget logic in one open-source study.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice, investment advice, or a recommendation to buy or sell any financial instrument. All calculations are derived from historical market data and may produce inaccurate readings in some market conditions. No indicator can predict future market behavior. Use proper risk management and independent judgment.
-Made with passion by jackofalltrades
Indicator
Aurelian Structure Engine [JOAT]Aurelian Structure Engine
Introduction
Aurelian Structure Engine is a market structure and execution-context model that combines confirmed pivots, break events, HTF bias, anchored value, relative volume, and pressure scoring. It is built to separate meaningful structural breaks from ordinary candle noise.
This open-source indicator is designed as a context tool, not a standalone trading system. It focuses on explaining the current market state with restrained visuals and confirmed-bar logic where signals are used.
Core Concepts
1. Confirmed Swing Structure
Swing highs and lows are confirmed with pivot logic before the script evaluates breaks. ATR buffering helps prevent small wick violations from becoming structure events.
2. Bid and Offer Block Geometry
Recent opposing candles can become bid or offer blocks only when their vertical placement makes structural sense. Invalidated or overlapping blocks are removed.
3. Anchored Value Context
An EMA and yearly anchored VWAP stack define whether price is operating above or below value.
4. Tiered Quality Score
Pressure, RVOL, HTF bias, structure, and proximity are converted into B, A, and A+ style states.
bullScore = structure + pressure + rvol + htfBias + valueContext
Features
Confirmed BOS and CHoCH-style structure tracking
Bid and offer blocks with invalidation logic
EMA/VWAP value spine and structure bands
Volume pressure and RVOL scoring
A/B/A+ state labels and compact dashboard
Input Parameters
Swing pivot length and ATR buffer
Block search and extension controls
HTF bias timeframe
Pressure, RVOL, cooldown, and A+ score gates
Display toggles for bands, blocks, candles, and panel
How to Use This Script
Read the structure side first, then check whether pressure, RVOL, and HTF bias confirm the break. A+ labels require stronger agreement than A or B labels.
Limitations
The script uses historical OHLCV data and cannot know future prices.
Signals and states can be late during fast reversals because confirmed-bar logic is used to reduce repainting.
Model outputs should be interpreted with market context, risk controls, and independent analysis.
No visual state should be treated as a certain trade outcome.
Originality Statement
Aurelian is original in combining guarded bid/offer block geometry, confirmed structure, anchored value, and multi-factor signal quality into one restrained overlay.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice, investment advice, or a recommendation to buy or sell any financial instrument. All calculations are derived from historical market data and may produce inaccurate readings in some market conditions. No indicator can predict future market behavior. Use proper risk management and independent judgment.
-Made with passion by jackofalltrades
Indicator
Vesper Candle Index [JOAT]Vesper Candle Index
Introduction
Vesper Candle Index is an open-source candlestick classification engine. Instead of marking every common candle pattern equally, it scores candle patterns using body quality, wick structure, trend location, volatility, and nearby structure context.
The indicator is designed to reduce pattern noise by ranking candle events and displaying only those that meet a configurable quality threshold.
Core Concepts
1. Candle Pattern Library
The script evaluates multiple candlestick states, including engulfing candles, hammers, stars, harami, inside breaks, marubozu, tweezers, rail patterns, and reclaim/reject conditions.
2. Quality Scoring
Each candidate pattern receives a score based on candle body, wick placement, trend context, volatility, and structure alignment.
3. Structure Context
Confirmed pivot levels are used to detect CHoCH-style breaks and candle reactions near recent structure.
4. Trade Projection Labels
When a candle state qualifies, the script can display compact educational entry, stop, TP1, and TP2 information.
5. Dashboard
The dashboard shows the current candle state, quality bucket, trend, structure, and recent signal context.
Features
Ranked candle states: Patterns are scored rather than treated equally
Structure-aware candles: Uses pivots and CHoCH context
Volatility-adjusted logic: ATR helps normalize wick and body requirements
Cooldown control: Reduces repeated pattern labels
Compact dashboard: Summarizes the highest-ranked current candle state
Confirmed patterns: Pattern events use confirmed bars
Input Parameters
Pattern sensitivity controls the quality threshold
Pivot length controls structure confirmation
ATR settings control wick/body normalization
Rail projection settings control optional visual projection length
How to Use This Indicator
Step 1: Focus on high-quality states
Use the quality score to separate strong candle states from weaker pattern appearances.
Step 2: Check structure alignment
Candle events near relevant structure are often more meaningful than isolated patterns.
Step 3: Avoid treating patterns as certainty
Candlestick patterns describe current bar behavior. They do not predict continuation or reversal.
Indicator Limitations
Candle patterns can fail in strong trend or news conditions
Pivot-based structure is delayed by the selected pivot length
The script classifies candles; it does not forecast future direction
Originality Statement
Vesper Candle Index adds scoring, structure context, volatility normalization, cooldown behavior, and a dashboard to candlestick analysis. Its value is in ranking candle quality rather than simply labeling every pattern.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Candlestick patterns can be misleading when used alone.
-Made with passion by jackofalltrades
Indicator
Parallax Regime Corridor [JOAT]Parallax Regime Corridor
Introduction
Parallax Regime Corridor is an open-source regime and corridor engine that blends trend efficiency, volatility state, structure change, and transition quality. It visualizes the active regime as a dynamic corridor and marks confirmed regime shifts or CHoCH-style structure changes.
Core Concepts
1. Adaptive Corridor
The corridor is built from an adaptive mean and ATR-based width. The band expands when volatility increases and contracts in quieter conditions.
2. Regime Candidate
Price location, trend slope, and directional evidence determine whether the candidate regime is bullish, bearish, or neutral.
3. Structure Change
Confirmed swing highs and lows are used to detect delayed bullish and bearish changes of character.
4. Transition Quality
The indicator scores whether volatility, trend, and structure agree before highlighting a shift.
5. Dashboard Context
The dashboard summarizes current regime, quality, volatility, structure, and recent shift state.
Features
Dynamic regime corridor: Adaptive mean and ATR width
Bullish, bearish, and neutral regimes: Clear state output
Confirmed CHoCH events: Uses pivot-confirmed structure references
Transition quality score: Combines regime and structure conditions
Candlestick coloring: Candles can reflect the active state
Top-right dashboard: Compact summary of state and quality
Input Parameters
Basis length controls the adaptive mean
ATR length and multiplier control corridor width
Pivot length controls structure sensitivity
Minimum score controls shift selectivity
How to Use This Indicator
Step 1: Read the corridor color
The corridor color identifies whether the script sees bullish, bearish, or neutral control.
Step 2: Watch shift events
Shift events show where the regime candidate changed on a confirmed bar.
Step 3: Treat CHoCH as delayed structure context
CHoCH events rely on pivot confirmation and should be interpreted as confirmed historical structure, not instant prediction.
Indicator Limitations
Pivot-based structure is delayed by the pivot length
Regime transitions can occur late during fast reversals
The corridor is a context layer, not a standalone trading system
Originality Statement
Parallax Regime Corridor combines adaptive corridor visualization, structure-change logic, volatility context, and transition scoring. It is designed to show how regime context evolves rather than simply plot a trendline.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Regime classifications can be wrong or late in unusual market conditions.
-Made with passion by jackofalltrades
Indicator
Aurelian Consensus Bands [JOAT]Aurelian Consensus Bands
Introduction
Aurelian Consensus Bands is an open-source price consensus map built around a log-volume profile, dynamic consensus bands, VWAP context, and confirmed-bar signal logic. It is designed to answer a specific question: where is price trading relative to the market's recent volume-weighted agreement zone, and is that move supported by session pressure?
The script plots VPOC, consensus area, boundary bands, session VWAP deviation shells, a dynamic volume node, right-side price rails, managed signal boxes, candle coloring, and a compact top-right dashboard. Its goal is not to predict the future. It provides a structured chart layer for reading acceptance, rejection, and directional pressure around consensus levels.
Core Concepts
1. Log-Volume Consensus Profile
The script builds a rolling profile on a logarithmic price canvas. Recent bars contribute volume across high-low rows, with recency weighting applied before the profile is converted into levels. This reduces sensitivity to one-off spikes while preserving important volume clusters.
// Conceptual summary
// volume is distributed across log-price rows
// rows are then analyzed for VPOC, mean, and stdev bands
2. VPOC, CA, and Boundary Band
The engine extracts a volume point of control, consensus area high/low, and wider boundary bands. The midpoint of the consensus area and the VPOC can be blended into the active anchor. Price displacement from that anchor is normalized so the indicator can classify whether price is inside, above, or below the agreement zone.
3. Dual-Anchor Coherence
Aurelian compares the VPOC view and consensus-area midpoint view. Signals are only stronger when both views agree. If the two anchors conflict, the coherence score falls and the dashboard shows weaker context.
4. VWAP and Session Pressure
The script adds session VWAP, VWAP deviation shells, synthetic delta pressure, and a dynamic volume node. Qualified signals require more than a simple cross; they also consider whether VWAP and pressure agree with the band event.
5. Right-Side Price Rails and Signal Box
The current VPOC, anchor, consensus levels, VWAP, and dynamic node are projected to the right edge with price labels. Qualified signals can also create a managed visual box with entry, stop, T1, and T2 levels based on ATR and planned R multiples.
Features
Rolling log-volume profile: Builds VPOC, consensus area, and boundary bands from recent price-volume structure
Dual-anchor coherence filter: Compares VPOC and consensus midpoint before qualifying signals
VWAP deviation shells: Adds session VWAP context and upper/lower deviation bands
Dynamic volume node: Tracks a lighter-weight volume anchor for current conditions
Candle color blending: Colors bars using consensus direction and institutional context strength
Qualified signal markers: Uses clean dots/squares rather than arrows or retail-style markers
Managed signal box: Projects entry, stop, T1, and T2 for visual planning only
Right-side rails: Labels VPOC, anchor, CA high/low, VWAP, and node prices at the chart edge
Top-right dashboard: Shows mode, bias, coherence, score, VWAP state, delta, node, quality, and state
Confirmed-bar logic: Main signal events are gated on confirmed bars
Input Parameters
Profile Core:
Profile Rows controls profile resolution
Profile Lookback controls how much recent history is used
Recency Weight Span controls how quickly old bars lose influence
Profile Smooth controls smoothing on extracted levels
Context and Rails:
Show Session VWAP and VWAP Deviation Shells
Show Dynamic Volume Node
Show Right-Side Price Rails
Show Managed Signal Box
Signal Stop ATR Mult and Target R settings
How to Use This Indicator
Step 1: Read the anchor
Use the VPOC and consensus anchor to understand where the market's recent agreement zone sits.
Step 2: Check coherence
Higher coherence means the VPOC and consensus midpoint agree. Lower coherence suggests mixed structure.
Step 3: Watch VWAP and node context
Signals carry more context when price, VWAP, delta, and the dynamic node point in the same direction.
Step 4: Use right-side rails
The rails provide forward reference levels for continuation, rejection, or mean reversion planning.
Indicator Limitations
The profile depends on the selected lookback and row resolution
Signals are contextual, not standalone trade recommendations
Very low volume symbols may produce less reliable profile and delta readings
Confirmed-bar logic means signals appear after the bar closes, not before
Originality Statement
Aurelian combines a rolling log-volume consensus profile, dual-anchor coherence, session VWAP deviation context, synthetic pressure, dynamic node tracking, right-edge rails, and managed visual signal boxes in one open-source Pine v6 tool. The purpose is not to merge unrelated indicators, but to create a single acceptance/rejection framework around volume agreement and session context.
Disclaimer
This script is for educational and informational use only. It is not financial advice and does not ensure any trading outcome. Market behavior is uncertain, and all signals should be evaluated with risk management and independent judgment.
-Made with passion by jackofalltrades
Indicator
Vesper Divergence Cascade [JOAT]Vesper Divergence Cascade
Introduction
Vesper Divergence Cascade is an open-source divergence and response-structure overlay built around RSI pivots and a smoothed T3 ribbon. It detects regular and hidden bullish or bearish divergence, then maps the likely response area with projected zones, corridors, and target guides directly on the chart.
The problem this script solves is incomplete divergence analysis. Many divergence tools draw a line and stop there. That leaves the user without context about whether the move is aligned with local structure, whether the divergence developed in an overbought or oversold condition, and where price might respond if the divergence matters. Vesper Divergence Cascade adds that missing structure.
Core Concepts
1. Pivot-Based Divergence Detection
Confirmed price pivots are stored alongside the RSI value that existed at the pivot bar. This allows the script to compare current and prior pivot pairs without relying on unstable future references. Regular and hidden divergence types are evaluated independently on both highs and lows.
2. Ribbon Context Filter
The T3 ribbon acts as a directional and location filter. Divergence can optionally require price to be extended beyond the ribbon in the direction of the stretch before the event is accepted.
3. Response Zones And Corridors
When a divergence confirms, the script can project a response zone, midpoint line, reaction corridor, and target line forward from the pivot area. This turns divergence from a simple signal marker into a structured response map.
4. Signal Quality Context
The script uses RSI delta, ATR-normalized price displacement, cooldown logic, and optional overbought or oversold context to grade whether a divergence is meaningful enough to display.
Features
Regular bullish and bearish divergence: Reversal-oriented pivot disagreement
Hidden bullish and bearish divergence: Continuation-oriented pivot disagreement
T3 ribbon filter: Smoothed directional context layer
Reaction envelopes: Premium and discount response bands around ribbon center
Response zones: Forward areas projected from the active divergence
Reaction corridors: Larger projected path zones for follow-through context
Target lines: Simple objective guides derived from ATR structure
Signal labels: On-chart labels with response type and quality readout
Pivot dots and reset markers: Optional event markers for visibility
Dashboard: Displays RSI, zone state, ribbon state, cooldown, and active signal
Confirmed pivots only: Divergence prints only after pivot confirmation
Input Parameters
RSI Core And Divergence:
RSI source and length
Overbought and oversold levels
Pivot length and divergence window
Regular and hidden divergence toggles
Quality And Display:
Signal cooldown
Minimum RSI delta
Minimum ATR move
Extreme-condition requirement
Ribbon-filter requirement
Ribbon, pivot dots, dashboard, response zone, signal label, and reaction corridor toggles
How to Use This Indicator
Step 1: Identify whether the latest signal is regular or hidden, because they imply different response behavior.
Step 2: Check whether the signal formed in overbought or oversold context and whether the ribbon was supportive.
Step 3: Use the response zone and corridor as a framework for how price may react rather than as a guaranteed destination.
Step 4: Use reset markers to track whether momentum is rebalancing after the divergence.
Step 5: Prefer divergence that forms after visible extension, not in flat neutral conditions.
Indicator Limitations
Pivot confirmation introduces intentional delay because divergence is only known after the pivot is confirmed
Divergence can persist or fail completely during strong trends
Hidden divergence is continuation-oriented and should not be interpreted the same way as regular divergence
Projected zones and targets are analytical guides, not forecasts
Originality Statement
Vesper Divergence Cascade is original in how it combines pivot-stored RSI divergence, a T3 ribbon context filter, response envelopes, projected zones, and reaction corridors inside one divergence workflow. The script is designed to explain what kind of divergence formed, where it formed, and how price may structurally respond afterward.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Divergence is a contextual tool and can fail repeatedly during persistent trends, so all use should include independent analysis and risk management.
-Made with passion by jackofalltrades
Indicator
Leverage Reset Quality Map [AGPro Series]Leverage Reset Quality Map
🧠 Core Idea
Did leverage actually reset, or did the market only pause before risk rebuilt again?
📌 Overview / What it does
Leverage Reset Quality Map is a crypto derivatives context tool designed to evaluate whether a leverage washout is developing into a cleaner reset, a fragile reset, a crowded stress condition, or a reload-risk environment.
The script combines open interest when available, a transparent volume-proxy fallback, data-change behavior, volatility shock, range expansion, wick flush behavior, recovery quality, persistence, and trend context. It converts those inputs into a reset-quality ladder, compact state labels, right-side tags, pulse markers, alerts, and an AG Pro dashboard.
It does not liquidate positions, predict future price direction, automate entries, or claim that a reset must lead to a reversal. It is an analytical map for reading whether leverage pressure appears to be clearing, rebuilding, or remaining unstable.
🎯 Purpose & Design Philosophy
This script was built for traders who want to separate a true leverage reset from a simple bounce, pause, or noisy reaction.
After sharp moves, many markets look relieved for a short period. The important question is whether participation pressure cooled, volatility stabilized, and price recovered with acceptable structure. Leverage Reset Quality Map turns that question into a visible workflow.
The design philosophy is simple: a reset is not automatically bullish or bearish. A reset is a context condition. Its quality depends on stress release, recovery quality, volatility behavior, and whether participation starts rebuilding too early.
⚡ Why This Script Is Different
Most tools focus on liquidation levels, open interest changes, or raw volume spikes.
This script does NOT draw another liquidation heatmap, does NOT treat every OI drop as bullish, and does NOT mark every volume spike as meaningful leverage cleansing.
Instead, it evaluates reset quality as a multi-factor condition. It asks whether stress is building, whether pressure is releasing, whether the market is recovering cleanly, and whether leverage-style participation is reloading before the reset matures.
⚙️ Methodology
1. Context Detection
The script reads official open interest when available. If official OI is unavailable and fallback is enabled, it uses volume as a transparent leverage-participation proxy.
2. Stress Mapping
It evaluates data-change pressure, velocity, volatility shock, range shock, and wick flush behavior to estimate whether leverage-style stress is present.
3. Reset Quality Evaluation
It measures participation contraction, volatility cooling, price recovery, wick recovery, and trend context to estimate reset quality.
4. Visual Output
The output is displayed as a reset-quality ladder with state, quality, reload risk, event labels, compact pulse markers, reaction tracks, and a dashboard panel.
🗺️ How to Read the Chart
The reset-quality ladder is the main visual object.
The upper step represents the current reset or stress state.
The middle step represents reset quality.
The lower step represents reload risk.
The vertical needle shows where current reset quality sits inside the ladder.
Labels mark state transitions such as Clean Reset, Fragile Reset, Reload Risk, and Stress Build.
Compact pulse markers add context:
• R = Clean Reset pulse
• F = Fragile Reset pulse
• L = Reload Risk pulse
• S = Stress Build pulse
Colors communicate context:
• Teal = cleaner reset pressure
• Yellow = fragile or incomplete reset
• Pink = reload or stress risk
• Indigo = neutral reset-quality structure
The panel summarizes state, reset quality, data change, stress score, persistence, reload score, direction, grade, data mode, volatility shock, OI source, and trend.
🚦 Signals & States
• Clean Reset → stress release and recovery quality are improving
• Fragile Reset → some reset behavior is visible, but quality remains incomplete
• Reload Risk → participation may be rebuilding before the reset is healthy
• Crowded Stress → leverage-style pressure is building without a clean reset
• Neutral Reset → no active reset state dominates the current read
• Data Missing → official OI and fallback data are not available
🔔 Alerts Logic
Alerts trigger when the script transitions into selected reset-quality states.
Clean Reset alerts mark improving reset quality.
Fragile Reset alerts mark incomplete reset conditions.
Reload Risk alerts mark renewed leverage-style participation before quality improves.
Stress Build alerts mark stress expansion without a clean reset read.
Alerts are attention markers, not trade instructions.
🧩 Confluence Logic
The strongest context appears when several components align:
Participation contraction + volatility cooling + wick recovery + price recovery + improving reset quality.
The weakest context appears when participation expands again, volatility stays hot, and reset quality remains low.
📊 When to Use
• Crypto perpetual and futures charts
• Post-selloff or post-squeeze environments
• High-volatility reactions
• Open interest or volume-pressure analysis
• Markets where leverage reset quality matters more than a raw signal
⚠️ When NOT to Use
• Extremely illiquid symbols
• Markets with unreliable open interest or volume data
• Very low-volatility sideways charts where leverage pressure is not active
• News-driven gaps where normal reset logic may be distorted
• Any situation where the user expects a direct buy or sell signal
🎛️ Key Inputs
• Data Mode → selects official OI, manual OI, or volume-proxy behavior
• Manual Open Interest Symbol → lets the user define a specific OI source
• Context Lookback → controls the normalization window
• Fast Reaction Length → controls the short-term recovery track
• Slow Baseline Length → controls the slower reset baseline
• Minimum Stress Score → controls how much pressure is required for stress states
• Minimum Quality Score → controls how much recovery quality is required for a clean reset
• Event Label Cooldown → controls label spacing and visual density
• Panel / label settings → control visual layout and readability
🖥️ Interface & Visual Design
The interface is designed to feel different from zone-first or corridor-first tools.
Instead of drawing a large boxed area, the script uses a staggered reset-quality ladder. This keeps the chart readable on both dark and light PulseWire backgrounds and reduces the risk of looking like a duplicate of nearby derivatives tools.
The panel uses a merged blue AG Pro header row and a compact information hierarchy.
🧪 Practical Usage Workflow
1. Read the panel state.
2. Check whether data mode is Open Interest or Volume Proxy.
3. Look at the reset-quality ladder.
4. Compare reset quality with reload risk.
5. Review recent event labels and pulse markers.
6. Confirm the broader chart structure.
🔍 Interpretation Guidelines
A Clean Reset does not mean price must rise.
A Reload Risk state does not mean price must fall.
The script is designed to help users think in terms of leverage pressure, reset quality, and context alignment. It should be interpreted with broader structure, liquidity, trend, and risk controls.
🚫 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 is not a liquidation heatmap.
It does not guarantee reversals, continuations, entries, exits, or outcomes.
⚠️ Limitations & Transparency
Open interest availability depends on the symbol, exchange, and PulseWire data support.
When official OI is unavailable, the script can use volume as a transparent proxy. A proxy is not the same as official open interest.
Timeframe differences may change how reset quality appears.
Volatility spikes, exchange-specific behavior, and sudden news events may distort the read.
🧠 Market Context Notes
Leverage resets often appear after forced movement, sharp volatility expansion, wick-heavy reactions, or participation contraction.
The important distinction is whether the reset becomes cleaner or whether risk reloads before the market has stabilized.
This script focuses on that distinction.
🧾 Use Case Examples
When price flushes lower, participation contracts, volatility cools, and price recovers toward the reaction track, the script may show Clean Reset.
When a market bounces but participation expands again while reset quality remains weak, the script may show Reload Risk.
When volatility remains hot and stress score remains elevated, the script may show Crowded Stress.
🧱 System Philosophy
Leverage Reset Quality Map follows the AGProLabs principle of building decision-support maps rather than prediction tools.
The goal is to make hidden market conditions easier to observe, compare, and interpret without overclaiming certainty.
🔐 Non-Promise Statement
No script can know future price direction.
No state should be treated as certainty.
Every output should be interpreted as context, not as an instruction.
📉 Risk Disclosure
Trading involves risk.
Crypto derivatives can be highly volatile and may involve leverage, liquidation risk, exchange risk, data limitations, and rapid market movement.
Users remain fully responsible for their own decisions.
This script does not provide financial advice.
📚 Educational Note
This script is intended for educational, analytical, and visual market-structure study.
Its value comes from helping users ask better questions about leverage pressure, reset quality, and risk rebuilding.
Indicator
Body Close Break Planner [AGPro Series]TITLE
Body Close Break Planner
🧠 Core Idea
Did price break structure with real body-close acceptance, or was the move only a wick event with weak commitment?
📌 Overview / What it does
Body Close Break Planner is built to evaluate whether a structure break is being accepted with real candle-body commitment. Instead of reacting to every wick beyond a prior high or low, the script focuses on closes that actually establish acceptance beyond the rail.
The script maps the body break rail, an acceptance pocket, a retest shelf, a failure rail, and a first target-room reference. It also adds event labels, right-side tags, and a compact AG Pro panel that summarizes the quality of the active break with a 0-100 Body Break Score.
This script does not predict trend continuation, automate entries, or treat every breakout as valid. It is a rule-based analytical and visualization tool that helps users separate real body-close structure acceptance from weaker noise-driven break attempts.
🎯 Purpose & Design Philosophy
This script was built to solve a very common structural problem: many breakout candles look convincing in the moment, but the move fails because the market never achieved real closing acceptance beyond the level.
The tool was designed for traders who want to evaluate whether a break has genuine body-based commitment, whether the first retest is constructive, and where the structure fails if acceptance is lost.
The mindset behind the script is selective, disciplined, and evidence-based. It supports traders who want to read acceptance quality rather than react to every temporary excursion beyond a level.
⚡ Why This Script Is Different
Most breakout tools focus on level crossing, wick penetration, or generic break-and-retest behavior.
This script does NOT treat every breach of structure as a meaningful breakout.
Instead, it asks whether the move closed through structure with enough body commitment, whether price is still being accepted beyond the rail, whether the retest shelf improves the setup, and whether the move still has room before it becomes extended or fails.
⚙️ Methodology
1. Context Detection
The script maps recent structure highs and lows, then checks whether price closes beyond them with enough candle-body commitment and range expansion.
2. Reference Mapping
Once a valid body-close break is confirmed, the script locks the broken rail, builds an acceptance pocket, marks a retest shelf, and defines a failure line plus a first target-room reference.
3. Reaction Evaluation
Price is then reviewed against the body-break rail and the retest shelf. The script checks whether the move is still accepted, whether the retest improves the structure, or whether the breakout falls back through the failure boundary.
4. Visual Output
The final output includes the acceptance pocket, body-break rail, retest shelf, failure rail, room line, event labels, right-side tags, and dashboard panel.
🗺️ How to Read the Chart
Zones:
The acceptance pocket represents the active post-break area where structure acceptance is being judged.
Labels:
Labels identify new bullish or bearish body-close breaks, accepted structure, retest-ready behavior, target review, and failed breaks.
Colors:
Teal represents stronger constructive break behavior.
Pink represents bearish or failed context.
Gold represents review areas such as target-room interaction.
Indigo represents the main body-break rail.
Panel:
The panel summarizes the active break type, the Body Break Score, current acceptance quality, available room, and the current action state.
🚦 Signals & States
• Bull Break → A bullish body-close structure break has been detected.
• Bear Break → A bearish body-close structure break has been detected.
• Body Accepted → Price is still being accepted beyond the broken structure rail.
• Retest Ready → Price interacted with the retest shelf constructively and the setup quality improved.
• Target Review → The first projected room reference has been reached and context should be reassessed.
• Failed → Price moved back through the failure boundary and the break is no longer structurally clean.
• Wait Break → No valid active body-close break exists.
• Expired → The break is too old to remain active within the current framework.
🔔 Alerts Logic
Alerts can trigger when a new bullish or bearish body-close break is detected, when structure remains accepted, when a retest shelf strengthens the setup, when target room is reached, or when the break fails.
Alerts are attention markers only. They highlight structural events inside the script logic. They are not trade instructions, automated entries, or guarantees of follow-through.
🧩 Confluence Logic
The context becomes stronger when multiple conditions align together.
For example, a structure break with a strong body ratio, clean range expansion, stable hold beyond the break rail, and a constructive retest shelf interaction is much stronger than a shallow close that immediately falls back into the old range.
When body commitment, breakout range, retest quality, and available room align together, the context becomes structurally more reliable.
📊 When to Use
• Breakout or breakdown environments where close quality matters
• Markets with clean price structure and readable swing levels
• Crypto, forex, indices, and liquid stocks
• 1H, 4H, and 1D chart review
• Situations where wick-only breaks create repeated false positives
⚠️ When NOT to Use
• Illiquid markets with distorted price prints
• Extremely noisy sessions with poor candle quality
• Very low-range environments where closes carry little structural information
• Symbols dominated by gaps or erratic price jumps
• Conditions where the market repeatedly overshoots levels without clean follow-through
🎛️ Key Inputs
• Structure Lookback → Controls how recent highs and lows are mapped
• Minimum Range Ratio → Controls how much expansion is required before a break qualifies
• Minimum Body / Range → Filters out weak closes and wick-dominant candles
• Close Buffer ATR → Controls how far beyond structure the close must finish
• Acceptance Pocket ATR → Controls the depth of the post-break pocket
• Retest Shelf Buffer → Controls how shelf interactions are interpreted
• Failure Buffer ATR → Controls where the active break becomes invalid
• Visual Settings → Control labels, panel location, theme, font size, and optional chart styling
🖥️ Interface & Visual Design
The interface is designed to answer one question quickly: is this break actually being accepted?
The panel creates a clean information hierarchy so the user can understand break state, score, room, and current action without reading every chart element manually. The chart layer keeps the acceptance pocket, body-break rail, failure line, and room reference readable without overwhelming candles.
The visual intent is professional, premium, and publication-friendly rather than decorative.
🧪 Practical Usage Workflow
1. Read the panel to confirm whether a valid body-close break is active
2. Check the body-break rail and acceptance pocket
3. Evaluate whether price is simply holding or whether the retest shelf improved the structure
4. Review room to the target reference and distance to failure
5. Use labels and tags as context markers, not as direct commands
🔍 Interpretation Guidelines
A stronger score suggests better body commitment, healthier range expansion, and more reliable post-break structure.
A Body Accepted state means price is still holding beyond the broken rail, but it does not automatically mean the move is early or low-risk.
A Retest Ready state suggests the market pulled back in a controlled way and defended the structure more convincingly.
A Target Review state suggests that the first projected room objective has already been reached and the context should be reassessed rather than assumed to continue indefinitely.
🚫 What This Script Is NOT
This script is not a prediction engine.
This script is not financial advice.
This script is not an automated trading system.
This script does not place orders.
This script does not guarantee continuation, retest success, target reach, or profitability.
⚠️ Limitations & Transparency
This script is rule-based and depends on the quality of the underlying market structure.
Different timeframes can produce very different break quality profiles. In high-volatility or low-liquidity conditions, candle closes may appear meaningful while still failing quickly. In some markets, wick behavior may remain important even when the body-close break model is intentionally strict.
Outputs should always be interpreted within broader market context rather than in isolation.
🧠 Market Context Notes
Body-close acceptance often matters most around obvious swing highs, swing lows, range edges, and post-compression expansion points.
A wick beyond structure can attract attention, but a true close beyond structure often tells a more reliable story about commitment. Even so, not every accepted break becomes a trend. Some become retest traps, and some run directly into higher-timeframe resistance or support.
🧾 Use Case Examples
Example 1:
Price closes above a well-defined swing high with a strong body and good expansion. The script marks a bull break, builds the acceptance pocket, and later upgrades the context when the retest shelf holds.
Example 2:
Price breaks below a swing low with body commitment, but then quickly closes back through the failure boundary. The script marks the break as failed, signaling that the downside acceptance did not hold.
Example 3:
A strong body-close break remains accepted and quickly reaches the first target-room line. The script marks target review, reminding the user to reassess efficiency and extension.
🧱 System Philosophy
AGPro Series tools are built as decision-support frameworks, not generic signal generators.
The philosophy here is to reward quality over noise: stronger closes, cleaner acceptance, clearer structure, and more readable post-break behavior.
🔐 Non-Promise Statement
This script does not promise certainty.
It does not promise that a body-close break will continue, hold, retest cleanly, or reach its projected room. It only organizes the structure so the user can evaluate the break with more discipline and clarity.
📉 Risk Disclosure
Trading involves risk.
Market conditions can change quickly, and any analytical tool can become less reliable under shifting volatility, liquidity, or structural conditions. Users remain fully responsible for their own decisions, execution, and risk management.
This script is for educational and analytical purposes only. It does not provide financial advice.
📚 Educational Note
This tool is most effective when combined with broader market structure, liquidity awareness, and disciplined trade management.
It is designed to improve interpretation quality, not to replace critical thinking.
Indicator
Compression Shift Index [JOAT]Compression Shift Index
Introduction
Compression Shift Index is an open-source Pine Script v6 indicator designed to detect transitions between compression and displacement. It measures whether price is storing energy in a tight state, whether that energy is beginning to release directionally, and whether the release is supported by enough pressure and travel efficiency to matter.
The problem this indicator solves is timing. Traders often recognize trend after the move is already mature, or they chase weak momentum bursts that never become true displacement. Compression Shift Index is built to distinguish between quiet compression, directional pressure, and confirmed shift conditions so the user can see whether price is merely active or whether a real state change is underway.
The script lives in its own pane, but it also projects tactical shift ranges onto the main chart. That means it can work as both a state engine and a visual execution aid. The pane handles classification and scoring. The overlay range preserves the high, low, and midpoint of the most recent active shift so price can be read against the trigger zone directly on the chart.
Rather than relying on one oscillator reading, the script blends moving-average spread, RSI of momentum, ATR expansion, path efficiency, and compression mathematics. The result is not a conventional trend tool. It is a state-transition tool built to show when stored pressure is becoming directional opportunity.
Core Concepts
1. Compression Score
Compression is measured by comparing the recent price range to ATR-normalized movement over a configurable window. As the range contracts relative to expected volatility, the compression score rises.
float compressionRatio = safeDiv(ta.highest(high, compressionLength) - ta.lowest(low, compressionLength), ta.atr(compressionLength) * compressionLength) * 100.0
float compressionScore = clamp(100.0 - compressionRatio, 0, 100)
This means the script is not labeling compression by candle size alone. It evaluates the market relative to its own volatility conditions.
2. Displacement Score
Displacement is measured through moving-average spread magnitude, RSI-based pressure away from neutrality, and fast-versus-slow ATR expansion. A high displacement score means price is no longer just compressed. It is pushing with enough directional force to deserve attention.
3. Pressure Confirmation
Directional pressure requires more than a large reading. Bullish pressure needs positive spread and price acceptance above the fast EMA. Bearish pressure requires the opposite. This creates a separation between raw movement and directional pressure that is actually aligned with the current path of price.
4. Shift Range Memory
When a confirmed bull or bear shift occurs, the script stores the initiating bar’s high and low, then extends that range for a configurable number of bars. As new bars arrive, the active range updates its upper and lower boundaries.
This transforms the shift from a momentary signal into a tactical map. The trader can judge whether price is holding inside the shift range, stretching away from it, or failing back through the structure.
5. Quality And Travel Efficiency
Not every shift is equal. The script measures path efficiency by comparing net travel to the cumulative path traveled across the efficiency window. That helps distinguish efficient directional release from noisy back-and-fill movement.
When displacement, pressure, and efficiency all align, the quality score rises. This is especially useful for separating impulsive continuation from unstable burst behavior.
Features
Compression and displacement state engine: Differentiates quiet conditions from directional release
Bull and bear shift detection: Confirms directional shifts only after displacement and pressure criteria align
Tactical overlay range: Projects the active shift high, low, and midpoint onto the main chart
Ribbon bias display: Adds a visual ribbon showing directional pressure inside the pane
Travel efficiency scoring: Measures whether displacement is clean or noisy
State backdrop and candle tinting: Tints both pane and chart context according to the current state
Detailed dashboard: Publishes compression, displacement, ATR ratio, heat, range, stretch, velocity, efficiency, quality, and persistence
Confirmed-bar alerts: Includes compression, bull shift, bear shift, pressure, release, fade, and quality-state alerts
Data-window exports: Makes many internal scores accessible without adding extra plots to the pane
Range-aging logic: Tracks how long the active shift has been in effect
Visual Elements
Pane state curves: The net shift, compression, and displacement lines provide a layered read of current state
Ribbon bias fill: The pane ribbon helps show whether directional pressure is leaning bullish or bearish before full shift confirmation
Overlay shift range: The active high, low, and midpoint are projected onto the price chart for tactical context
Backdrop and candle tinting: The indicator colors both pane and chart state to make transitions easier to identify at a glance
Dashboard diagnostics: The top-right panel summarizes metrics that would otherwise require several separate indicators
Best Practices
Wait for displacement to dominate compression before assuming a move has truly released
Use high-quality shifts as higher-priority context than low-efficiency state changes
Read the active shift range as a tactical map, not as a guarantee that price will respect every boundary
If pressure improves but displacement remains weak, treat the move as developing rather than already established
Use the state engine to filter your existing entries instead of trying to trade every alert in isolation
Input Parameters
Signal Engine:
Fast MA Length: Sets the fast trend reference
Slow MA Length: Sets the slow trend reference
Compression Window: Defines the state lookback for range contraction
RSI Length: Sets the smoothing period for momentum pressure evaluation
Momentum Length: Defines the raw momentum lookback
Thresholds:
Compression Threshold: Determines how compressed the market must be to count as compressed
Displacement Threshold: Determines how forceful the move must be to count as a shift
Shift Hold Bars: Controls how long the active shift range remains alive
Efficiency Length: Sets the path-efficiency lookback
Show Trigger Range: Toggles the projected overlay range on the chart
Visual Language:
Bull and bear color pairs
Neutral color and panel background
Show Dashboard toggle
Show State Backdrop toggle
Show State Ribbon toggle
How to Use This Indicator
Step 1: Identify The Current State
Start with the dashboard and pane. If compression is dominant, the market is still storing energy. If bull or bear pressure is present, directional force is building. If a bull or bear shift is confirmed, the state transition has already occurred.
Step 2: Compare Compression To Displacement
The most useful read is not the absolute number alone, but the relationship between compression and displacement. When compression is high and displacement is still low, the market is coiled. When displacement overtakes compression, the release phase is gaining control.
Step 3: Use The Active Shift Range
Once a shift is active, watch the projected upper, lower, and midpoint lines on the main chart. These define the tactical zone created by the displacement event. Price behavior around that range often provides better context than the signal bar alone.
Step 4: Check Quality And Efficiency
A high-quality state means the release is not only directional but also relatively efficient. If quality is weak, treat the shift more cautiously because the move may be noisy or unstable.
Step 5: Use It As A State Filter
Compression Shift Index is most effective as a state filter for your own process. It can help you avoid forcing breakout logic during compression and avoid fading a move that is still in active displacement.
Indicator Limitations
Compression does not guarantee that a strong displacement event will follow immediately
A shift can fail quickly if the broader market context does not support follow-through
Travel efficiency can lag during early release phases because noisy price action is still being absorbed into the lookback
The active shift range is a tactical reference zone, not an automatic support or resistance guarantee
Originality Statement
Compression Shift Index is original in the way it turns compression, displacement, pressure, efficiency, and range memory into one unified transition model. It is not simply an oscillator blend for cosmetic effect:
It frames compression and release as a state transition rather than a single threshold cross
It preserves the originating shift range on the main chart, which links pane analysis to execution context
It includes efficiency and velocity metrics that help separate orderly displacement from noisy expansion
It uses a dashboard that summarizes the full state stack rather than forcing the user to infer everything from one line
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Compression and displacement readings describe market state, not guaranteed future direction. Markets can remain compressed longer than expected or reverse immediately after a shift appears. Always use independent judgment and proper risk management.
-Made with passion by jackofalltrades
Indicator
AlphaQuant Statistical Intelligence█ ALPHAQUANT STATISTICAL INTELLIGENCE (QSI)
Quantitative Market Quality Analysis
A quantitative market analysis tool that measures the statistical "quality" of market conditions using three core modules: Hurst Regime Engine , Shannon Entropy Flow , and Price Efficiency Ratio . These combine into a single QSI Composite Score (0-100) that rates whether current conditions are favorable for trading or not.
Free and Open Source.
█ THE CONCEPT: WHY STATISTICAL MARKET QUALITY MATTERS
Most indicators answer "which direction?" — QSI answers a different question: "Should I be trading right now?"
Markets alternate between regimes: trending, mean-reverting, chaotic, and efficient. QSI identifies these regimes in real-time so you can adapt your strategy accordingly. A trending Hurst regime favors breakout strategies. A mean-reverting regime favors fading. High entropy means the market is chaotic — reduce size. High efficiency means clean directional moves — increase conviction.
█ CORE MODULES
1. Hurst Regime Engine
Calculates the Hurst Exponent via Rescaled Range (R/S) analysis — a robust statistical method from hydrology adapted for financial markets.
H > 0.55 — Trending regime. Price has "memory" — breakout/trend-following strategies work well.
H = 0.50 — Random Walk. No statistical edge — the market is coin-flipping. Reduce size.
H < 0.45 — Mean-Reverting regime. Price has "anti-memory" — fade strategies work well.
2. Shannon Entropy Flow
Measures the information entropy of the return distribution using the Shannon Entropy formula from information theory.
High Entropy (>70) — Returns spread across many bins = chaotic, unpredictable. Reduce exposure.
Low Entropy (<30) — Returns cluster in few bins = ordered, predictable. Good for systematic strategies.
3. Price Efficiency Ratio
Measures directional efficiency by comparing net price movement to gross price movement over N bars.
High Efficiency (>30%) — Price moving cleanly in one direction. Trend-following conditions.
Low Efficiency (<10%) — Price chopping with no net progress. Avoid or use range strategies.
█ QSI COMPOSITE SCORE
The three modules combine into a single 0-100 score with fixed weights:
Hurst Edge: 40% — How strong is the regime signal?
Inverse Entropy: 35% — How ordered is the market?
Efficiency: 25% — How clean are the price moves?
Score interpretation:
> 70 — PRIME — Optimal conditions, full conviction
55-70 — FAVORABLE — Good conditions, normal sizing
40-55 — NEUTRAL — Mixed signals, proceed with caution
25-40 — CAUTION — Poor conditions, reduce size
< 25 — AVOID — Worst conditions, stay out
█ DASHBOARD
A compact, dark-themed info panel displaying:
QSI INDEX — Current composite value with regime label
HURST — Current Hurst exponent with regime classification
ENTROPY — Current entropy score with regime classification
EFFICIENCY — Current efficiency ratio with regime classification
WEIGHTS — Module weight distribution (H:40 E:35 F:25)
█ ALERTS (8 CONDITIONS)
QSI: PRIME Conditions — Composite entered prime zone (>70)
QSI: AVOID Conditions — Composite dropped to avoid zone (<25)
QSI: Conditions Improving — Composite crossed above 55
QSI: Conditions Deteriorating — Composite dropped below 40
QSI: Hurst → Trending — Hurst crossed above 0.55
QSI: Hurst → Mean-Reversion — Hurst crossed below 0.45
QSI: Entropy → Chaos — Entropy spiked above 70
QSI: Entropy → Order — Entropy dropped below 30
█ PRO VERSION
The PRO version adds:
Markov Transition Probabilities — Statistical prediction of next-bar direction
Correlation Intelligence — Auto-benchmark correlation with breakdown detection
Fractal Dimension — Higuchi fractal complexity analysis
Absorption Detection — High volume + low range = institutional activity
Trading Style Presets — Auto/Scalping/Daytrading/Swing/Position
Asset Auto-Optimization — Automatic parameter tuning per asset class
Profile-Adaptive Weighting — Dynamic composite weights based on style + asset
█ NON-REPAINTING
All calculations use confirmed bar data only. The Hurst Exponent is calculated from historical log-returns. Shannon Entropy uses a rolling window of past data. Price Efficiency uses closed bars only. No future data leakage. No repainting.
█ WORKS ON
Crypto, Forex, Stocks, Futures, Indices — any timeframe from 1 minute to Monthly.
█ DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice. Always do your own research and manage your risk. Past performance does not guarantee future results. Trading involves substantial risk of loss.
Indicator
Trendline Retest Planner [AGPro Series]Trendline Retest Planner
🧠 Core Idea
Is the active trendline retest constructive enough to keep the setup under review, or is it starting to fail?
📌 Overview / What it does
Trendline Retest Planner is a chart-first decision tool for traders who review price behavior around active support and resistance trendline retests.
Instead of drawing many trendlines or flagging every break, the script focuses on one active trendline retest context at a time. It measures line age, touch count, retest depth, close response, and volume support, then converts that evidence into a 0-100 Retest Score and a clear next-action state.
The script produces an active trendline, retest pocket, hold/fail labels, invalidation edge, target path, alerts, and a compact AGPro planning panel. It does not predict price movement, automate execution, or provide guaranteed outcomes.
🎯 Purpose & Design Philosophy
This script was built to fill the gap between auto-trendline drawing and practical retest planning.
Many tools can draw diagonals or detect a break. The harder question is what to do after price returns to the line: is the retest holding, weakening, failing, or still waiting for confirmation?
Trendline Retest Planner supports a decision workflow: identify the active retest, read the score, locate the invalidation edge, compare the target path, and decide what deserves review next.
⚡ Why This Script Is Different
Most trendline tools focus on drawing many lines, ranking confluence, or detecting trendline breaks.
This script does NOT clone Auto Trendline Break Quality, Auto Trendlines MTF - Break/Retest, Trendline Confluence Map, Break-Retest Quality, Structure Retest Planner, Swing Retest Quality, or a generic support/resistance zone map.
Instead, it narrows the workflow to one active support or resistance trendline retest and evaluates whether that retest is constructive or failing. The main output is not a buy or sell signal. It is a decision state: READY, MONITOR, FAILING, INVALIDATED, WATCH, WAIT, or SCAN.
⚙️ Methodology
1. Context Detection
The script builds the latest support and resistance trendline candidates from confirmed swing pivots, then selects the nearest valid retest context.
2. Reference Mapping
It maps the active trendline, a retest pocket around the line, an invalidation edge, and a forward target path.
3. Reaction Evaluation
The 0-100 model scores line age, touch count, retest depth, close response, and volume support.
4. Visual Output
The chart shows the active planning objects, compact state labels, and a clean AGPro decision panel.
🗺️ How to Read the Chart
Trendline = the active support or resistance line being evaluated.
Retest Pocket = the ATR-based area around the trendline where a retest is considered active.
Invalidation Edge = the planning reference where the active retest context is considered broken.
Target Path = a forward guide based on the trendline-to-risk distance.
Labels = compact TEST, READY, MONITOR, WEAK, INVALID, PATH, and sparse context labels.
Colors = teal marks support-side retest context, pink marks resistance-side retest context, amber marks caution, indigo marks monitoring/follow-through, and red marks invalidation.
Panel = the AGPro panel summarizes Trendline Side, Retest Score, Hold State, Risk Edge, and Action.
🚦 Signals & States
• READY → the retest is active, holding on the correct side, and the score is strong enough for structured review.
• MONITOR → the retest is developing, but confirmation or score quality is still incomplete.
• FAILING → price touched the pocket, but the response is weak or on the wrong side.
• INVALIDATED → price crossed the invalidation edge and the active context should be rebuilt.
• WATCH → price is approaching the trendline pocket.
• WAIT → a valid trendline exists, but price is not close enough for useful retest review.
• SCAN → no valid trendline context is active yet.
🔔 Alerts Logic
Alerts trigger when price touches the active retest pocket, when READY state appears, when MONITOR state appears, when a failing retest is detected, when the invalidation edge is crossed, and when follow-through appears after an active retest.
Alerts are attention markers only. They are not trade instructions, automated strategy commands, or outcome promises.
🧩 Confluence Logic
The strongest context appears when the active line is fresh enough, has enough touches, retests with controlled depth, closes back on the correct side, and receives supportive relative volume.
When these components conflict, the panel moves toward MONITOR, FAILING, WATCH, WAIT, or INVALIDATED.
📊 When to Use
• Trendline support retests during constructive pullbacks
• Trendline resistance retests during bearish continuation attempts
• Price-action review after a diagonal support or resistance line is already visible
• Retest planning where invalidation and target path matter
• Liquid markets where pivots, candles, and volume behavior are readable
⚠️ When NOT to Use
• Very low-liquidity symbols with irregular candles
• Extremely noisy micro-timeframes
• News-driven spikes where trendline geometry becomes distorted
• Markets where swing pivots are too compressed to form useful lines
• Situations where the user expects a signal-only or auto-trading tool
🎛️ Key Inputs
• Trendline Side → selects Auto, Support Retest, or Resistance Retest.
• Trendline Pivot Length → controls how confirmed swing anchors are detected.
• Max Trendline Age → controls how old a trendline can be before it is ignored.
• Touch Count Lookback → controls how extra line touches are counted.
• Sensitivity → adjusts retest pocket width and activation distance.
• READY Score → sets the score threshold for stronger review states.
• Label and Panel Font Size → controls chart-label and panel readability.
• Panel Location and Theme → adjusts the AGPro panel layout.
🖥️ Interface & Visual Design
The interface is designed to stay chart-first and decision-led.
The active trendline is the main reference. The retest pocket is drawn around that line with centered text so the chart stays readable. The invalidation edge and target path explain where the planning context weakens and what forward room is being mapped.
The AGPro panel uses a merged blue title row and five compact rows so the user can read side, score, hold state, risk edge, and action quickly.
🧪 Practical Usage Workflow
1. Read the panel state and Retest Score.
2. Check whether price is approaching or touching the retest pocket.
3. Compare current price with the invalidation edge.
4. Review whether the label says TEST, READY, MONITOR, WEAK, INVALID, or PATH.
5. Confirm the broader market context before making any decision.
🔍 Interpretation Guidelines
Think in terms of retest quality, not prediction.
A higher score means multiple retest components align inside the script's rule set. A weaker score means the line may be too old, the retest may be too shallow, too deep, missing a constructive close, or lacking participation.
The script helps organize the review process. It does not replace judgment.
🚫 What This Script Is NOT
• Not a prediction engine
• Not financial advice
• Not an auto-trading system
• Not a guaranteed signal tool
• Not a broad auto-trendline map
• Not a trendline confluence scanner
• Not a break-and-retest scanner
• Not a generic support/resistance zone map
• Not an order block, FVG, or supply/demand tool
⚠️ Limitations & Transparency
• Pivot-based trendlines appear only after pivots are confirmed.
• Scores can vary across symbols, sessions, and timeframes.
• Volume scoring depends on exchange-provided volume data.
• Fast volatility can cross a trendline before a clean retest can be measured.
• In Live Updating mode, active-bar values can change before the bar closes.
🧠 Market Context Notes
Trendline retests are easiest to interpret when liquidity, volatility, and swing structure are readable.
A trendline touch is not enough by itself. Line quality, response, invalidation distance, and target path all matter.
🧾 Use Case Examples
When price returns to an upward support trendline and closes back above the pocket with a high score, the panel may move toward READY.
When price touches a downward resistance trendline but cannot close back below it, the planner may move toward FAILING or INVALIDATED.
When price is near the line but has not touched the pocket yet, the panel can stay in WATCH or WAIT.
🧱 System Philosophy
Trendline Retest Planner follows the AGPro decision-engine approach: identify context, score quality, map risk, show the next action, and keep the chart readable.
It is designed to help traders evaluate a specific planning question instead of adding another generic signal layer.
🔐 Non-Promise Statement
No score, label, alert, or chart object guarantees any market outcome.
The script organizes retest context and highlights conditions for review. It does not provide certainty.
📉 Risk Disclosure
Trading involves risk.
Users remain responsible for their own decisions, position sizing, execution, and risk management.
This script is for educational and analytical purposes only and does not provide financial advice.
📚 Educational Note
Use the planner as a structured reading layer: trendline context first, retest quality second, invalidation and target path third, broader market context always.
Indicator
Breakout Follow-Through Planner [AGPro Series]Breakout Follow-Through Planner
🧠 Core Idea
Did the breakout receive enough follow-through to stay valid?
📌 Overview / What it does
Breakout Follow-Through Planner is a chart-first breakout planning tool designed to evaluate what happens after price clears a recent structure edge.
Instead of treating the breakout candle as the full story, the script maps the broken level, creates a follow-through corridor, tracks post-break travel, measures close progress, monitors retest-depth risk, and converts the full sequence into a 0-100 Follow-Through Score.
The script produces a breakout line, follow-through corridor, weak-continuation labels, failure rail, target-room guide, alerts, and a clean AGPro decision panel. It does not predict price, automate trades, or issue entry/exit commands.
🎯 Purpose & Design Philosophy
This script was built for traders who already understand that a breakout is only the first event.
The practical question comes after the break: does price travel away from the level, hold enough distance, and preserve clean room, or does it stall and begin to retest too deeply? This planner turns that post-break phase into a readable decision process.
The design supports a planning mindset: identify the breakout, review follow-through quality, respect the failure rail, measure target room, and decide whether the active context still deserves attention.
⚡ Why This Script Is Different
Most breakout tools focus on the moment price crosses a level.
This script does NOT clone Breakout Volume Quality, Breakout Retest Readiness, Acceptance Breakout Planner, Volume Expansion Breakout Planner, or a generic support/resistance breakout scanner.
Instead, it focuses on post-break travel quality. The key question is not simply "did price break?" or "was volume high?" or "did the retest hold?" The key question is whether the breakout received enough follow-through after the break to remain structurally valid.
⚙️ Methodology
1. Context Detection
The script builds recent upper and lower breakout references from a configurable prior structure window.
2. Reference Mapping
When price closes beyond a reference edge by an ATR-normalized buffer, the planner starts an active breakout follow-through plan.
3. Reaction Evaluation
The model evaluates break candle quality, volume support, follow-through travel, number of closes beyond the breakout close, retest-depth risk, target room, and failure rail behavior.
4. Visual Output
The chart shows the breakout line, active follow-through corridor, failure rail, target-room guide, compact labels, and an AGPro panel summarizing the current decision state.
🗺️ How to Read the Chart
Follow-Through Corridor = the active path from the breakout close toward the target-room guide. Its text is centered inside the corridor.
Breakout Line = the structure edge that was cleared and now anchors the active plan.
Failure Rail = the invalidation reference behind the breakout line. It is an analytical guide, not a stop order.
Target Room = the projected planning guide based on the prior structure height.
Labels = compact markers such as BFT UP, BFT DN, FT READY, WEAK FT, RETEST RISK, FAIL RAIL, ROOM HIT, and TRACK.
Colors = teal supports constructive bullish follow-through, pink supports bearish follow-through, amber marks caution, indigo marks target-room review, and red marks failure rail pressure.
Panel = the main decision interface showing Breakout Side, Follow-Through, Retest Risk, Target Room, and Action.
🚦 Signals & States
• BFT UP → a bullish breakout started a follow-through review.
• BFT DN → a bearish breakout started a follow-through review.
• FT WATCH → follow-through evidence is developing but not complete.
• FT READY → travel, closes, score quality, and retest-depth conditions are constructive.
• WEAK FT → the follow-through window aged without enough progress.
• RETEST RISK → price moved too deeply back toward or through the breakout line.
• FAIL RAIL → price closed through the failure rail after the breakout plan.
• ROOM HIT → price reached the target-room guide and context should be reviewed.
🔔 Alerts Logic
Alerts can trigger when a bullish or bearish breakout plan starts, follow-through reaches the ready state, weak follow-through or retest risk appears, the failure rail is hit, or target-room review is reached.
These alerts are attention markers for chart review. They are not trade instructions, automated strategy rules, or guaranteed outcomes.
🧩 Confluence Logic
The strongest follow-through context usually appears when the breakout candle is clean, price travels away from the breakout close, multiple closes hold beyond the breakout close, retest depth remains controlled, volume support is present, and target room is still readable.
When these conditions weaken, the planner can shift toward FT WATCH, WEAK FT, RETEST RISK, FAILED, or TARGET REVIEW.
📊 When to Use
• Breakout continuation review
• Range exits where post-break travel matters
• Trend continuation attempts after structure breaks
• Breakouts that need a clear failure rail and target-room reference
• Chart review workflows where the trader wants a decision state instead of another raw breakout marker
⚠️ When NOT to Use
• Low-liquidity markets with unreliable candles or volume
• Extremely noisy ranges where every breakout immediately snaps back inside
• Abnormal news spikes where ATR and structure references may distort quickly
• Situations where the user needs full trade management, position sizing, or automation
🎛️ Key Inputs
• Structure Lookback → controls the recent high/low reference used for breakout detection.
• Break Buffer ATR → defines how far price must close beyond the reference edge.
• Minimum Break Quality → filters weaker breakout candles before the planner starts.
• Follow-Through Window → controls the early review period after the breakout.
• Required Travel ATR → defines the preferred post-break travel distance.
• Maximum Clean Retest Depth ATR → controls when retest depth becomes risk.
• Failure Rail ATR → sets the analytical invalidation rail behind the breakout line.
• Target Room Range Multiple → projects the target-room guide from prior structure height.
• Visual and Panel Settings → control corridor visibility, labels, panel location, theme, and font sizes.
🖥️ Interface & Visual Design
The interface is intentionally chart-first.
The follow-through corridor carries the main story, while the breakout line, failure rail, and target guide create a clean level-risk-room hierarchy. Labels are compact and controlled by cooldown and maximum-visible settings so the chart remains active without becoming crowded.
The AGPro panel uses a merged blue title row and a compact decision layout for fast review.
🧪 Practical Usage Workflow
1. Read the panel to identify the current breakout side and follow-through state.
2. Check the breakout line and follow-through corridor.
3. Review whether price is traveling away, stalling, retesting too deeply, or reaching target room.
4. Use the failure rail as a structural review reference.
5. Treat the Action row as a planning prompt, not as an instruction.
🔍 Interpretation Guidelines
The Follow-Through Score should be read as context quality, not certainty.
A higher score means the breakout has cleaner post-break travel under the script's rules. A lower score means the breakout may be stalling, losing distance, retesting too deeply, or lacking enough supporting evidence.
The target-room guide does not forecast price. It gives a structured reference for whether the current path still has room to review.
🚫 What This Script Is NOT
This script is not a prediction engine.
This script is not financial advice.
This script is not an auto-trading system.
This script does not provide guaranteed signals.
This script is not a generic support/resistance map.
This script is not a Breakout Volume Quality clone.
This script is not a Breakout Retest Readiness clone.
⚠️ Limitations & Transparency
The script is rule-based and depends on the selected lookback, ATR length, timeframe, and symbol behavior.
Different markets can produce different breakout behavior. Lower timeframes may show more noise. Higher timeframes may produce fewer but cleaner events.
Volatility changes can affect corridor size, failure rail distance, target-room projection, and event frequency. Outputs should be interpreted within broader market context.
🧠 Market Context Notes
Breakout follow-through is usually most useful when structure is readable, liquidity is sufficient, and the market has enough room to travel after the break.
Volume can support the score, but the script is not built around volume alone. The central decision layer is post-break price travel and structural validity.
🧾 Use Case Examples
When price breaks above recent structure and immediately travels away with multiple closes beyond the breakout close, the planner can move from FT WATCH toward FT READY.
When price breaks but returns deeply through the breakout line before enough travel appears, the planner can mark RETEST RISK or FAIL RAIL.
When price reaches the projected target-room guide, the planner shifts to ROOM HIT so the context can be reviewed instead of blindly extended.
🧱 System Philosophy
The script is built around the AGPro decision-engine approach: structure first, quality score second, risk and target context always visible, and no promise-based signals.
🔐 Non-Promise Statement
No script can provide certainty.
No output should be treated as a guarantee.
The tool organizes breakout follow-through context so users can review price action with more structure.
📉 Risk Disclosure
Trading involves risk.
Users are responsible for their own decisions.
This script does not provide financial advice.
📚 Educational Note
Use the planner to study how breakouts behave after the first break. The value is in comparing clean follow-through, weak continuation, deep retests, and failure-rail behavior across many examples.
Indicator
Target Path Quality [AGPro Series]Target Path Quality
🧠 Core Idea
Is the path toward the next practical target reference clean, blocked, or too risky to review?
📌 Overview / What it does
Target Path Quality is a chart-first target path planning tool built to evaluate the route between current price and a practical target reference.
Instead of drawing a target and implying certainty, the script studies the path itself. It maps a forward path corridor, recent structure blockers, target room, invalidation context, a 0-100 Path Quality score, state labels, alerts, and a clean AGPro decision panel.
It does not predict that a target will be reached, automate execution, print buy/sell commands, or replace broader market context. Its purpose is to help traders judge whether the route toward a target is clean enough to deserve attention.
🎯 Purpose & Design Philosophy
This script was built for traders who already have a directional idea but need a cleaner way to evaluate the target path before focusing on execution.
Many tools draw target levels, projection zones, or take-profit ladders. Those visuals can be useful, but they often skip the more important question: what is between current price and the target?
Target Path Quality fills that gap by converting path cleanliness, blockers, risk edge, target room, volatility fit, and reaction history into one readable decision workflow.
⚡ Why This Script Is Different
Most tools focus on where price could go.
This script does NOT promise a target hit, build a take-profit ladder, or behave like a projection suite.
Instead, it asks whether the route toward the target reference is structurally clean, blocked by recent pivots, too close to justify attention, or too exposed to invalidation risk.
⚙️ Methodology
1. Context Detection
The engine identifies the active path side using EMA context or the user-selected directional mode.
2. Reference Mapping
The script maps a practical target reference, an invalidation review rail, and a forward path corridor.
3. Reaction Evaluation
It evaluates structure blockers, target-room distance, risk edge, trend support, volatility fit, and recent directional reaction history.
4. Visual Output
The result is shown through a centered path corridor label, blocker markers, target/invalidation rails, compact event labels, deterministic alerts, and a premium AGPro panel.
🗺️ How to Read the Chart
Path Corridor = the active review route between current price and the practical target reference. Its label is centered inside the corridor.
Blocker Markers = recent confirmed pivots sitting inside the path. These represent possible structural obstacles.
Target Rail = the practical target reference used for path-quality review. It is not a guaranteed destination.
Invalidation Rail = the risk edge behind the active path. It is an analytical reference, not a stop recommendation.
Labels = compact state markers such as PATH READY, WATCH PATH, BLOCKED PATH, TARGET REVIEW, or INVALID REVIEW.
Colors = teal supports cleaner long-side path quality, pink supports short-side or risk context, amber marks blocker/review states, and indigo marks target-reference context.
Panel = summarizes Path Quality, Blockers, Target Room, Risk Edge, and Action.
🚦 Signals & States
• PATH READY → the path quality score is strong, target room is acceptable, and blockers are limited.
• WATCH PATH → the route is improving but does not meet the strongest review conditions.
• BLOCKED PATH → one or more structure blockers reduce route cleanliness.
• TARGET REVIEW → price has reached the active target reference area and context should be reviewed.
• INVALID REVIEW → price crossed the active invalidation rail and the path should be reassessed.
• WAIT → the current route does not provide enough path quality for active review.
🔔 Alerts Logic
Alerts can trigger when the path becomes ready, enters watch mode, becomes blocked, reaches the target reference review area, or crosses the invalidation review rail.
Each alert is an attention marker. Alerts are not trade instructions, entry commands, exit commands, or automated strategy rules.
🧩 Confluence Logic
Path quality improves when target room is practical, blockers are limited, EMA context supports the active side, volatility is neither too quiet nor overheated, and recent candles show directional reaction history.
When these elements align, the route becomes cleaner. When blockers or invalidation risk rise, the route becomes weaker.
📊 When to Use
• When reviewing a directional setup that already has a target idea
• During breakout continuation review
• During pullback continuation planning
• When comparing whether target room is clean or structurally blocked
• When a trader wants target context without a promise-based target tool
⚠️ When NOT to Use
• Extremely low-liquidity symbols
• Very noisy ranges where pivots form too frequently
• News-driven volatility spikes
• Markets where target references are too close to current price
• Situations where broader context contradicts the active path
🎛️ Key Inputs
• Path Side → controls whether the script evaluates Auto, Long Path, or Short Path context.
• Sensitivity → changes pivot strictness and blocker selectivity.
• Target Path Lookback → controls how far back the script searches for target references and blockers.
• Minimum / Ideal / Maximum Target Room ATR → controls how target room affects the score.
• Max Clean Path Blockers → defines how many blockers are tolerated before the path becomes blocked.
• Label and panel settings → control visibility, location, theme, and font sizes.
🖥️ Interface & Visual Design
The panel follows the AGPro public-release standard with one merged blue header row containing only the panel title.
The chart is designed to stay active without becoming crowded. It uses one main path corridor, up to three blocker markers, target and invalidation rails, and controlled state labels.
Label and panel font sizes are adjustable, with Normal as the default.
🧪 Practical Usage Workflow
1. Read the panel Path Quality score.
2. Check whether blockers appear inside the path corridor.
3. Compare target room against the invalidation rail.
4. Review whether the action state says Path review, Track path, Clear blockers, Review target, or Review risk.
5. Confirm the broader market context before making any independent decision.
🔍 Interpretation Guidelines
A clean path does not mean price must reach the target reference.
A blocked path does not mean price cannot continue.
The script is best read as a route-quality filter. It helps organize whether the path is clean, obstructed, risky, or ready for review.
🚫 What This Script Is NOT
• Not a prediction engine
• Not financial advice
• Not an auto trading system
• Not guaranteed signals
• Not a take-profit ladder
• Not a promise that price will reach any target
⚠️ Limitations & Transparency
Target path quality can change quickly when volatility expands, pivots update, or price crosses a key reference.
Different timeframes may produce different blocker structures and target-room readings.
Low-liquidity or high-noise markets can create unstable path evaluations.
🧠 Market Context Notes
Target path analysis is strongest when combined with liquidity, structure, volatility, and trend context.
A route can look attractive by distance but still become lower quality when recent pivots block the path or the invalidation rail is too exposed.
🧾 Use Case Examples
When price trends upward and the path to the next swing reference is open, the script may show PATH READY.
When a recent pivot high sits between current price and the target reference, the script may show BLOCKED PATH.
When price reaches the target reference rail, the script may show TARGET REVIEW.
When price crosses the invalidation rail behind the path, the script may show INVALID REVIEW.
🧱 System Philosophy
AGPro Series tools are designed to support structured decision review, not emotional signal chasing.
Target Path Quality follows that philosophy by focusing on route cleanliness, blocker context, risk edge, and next-action state instead of a simple directional signal.
🔐 Non-Promise Statement
No target reference is certain.
No path score guarantees continuation.
No alert should be treated as a trade instruction.
📉 Risk Disclosure
Trading involves risk.
Users are responsible for their own decisions, position sizing, risk controls, and market interpretation.
This script is for educational and analytical use only and does not provide financial advice.
📚 Educational Note
Use this tool to study how target path quality changes as blockers appear, target room expands or contracts, and invalidation risk shifts.
The strongest value comes from comparing the path corridor, blocker markers, risk rail, and broader market context together.
Indicator
CPR Expansion Planner [AGPro Series]CPR Expansion Planner
🧠 Core Idea
Is CPR width and price acceptance setting up a structured expansion day, or is price still inside a weak pivot context?
📌 Overview / What it does
CPR Expansion Planner is a chart-first Central Pivot Range planning tool built to evaluate whether the current session is developing enough structure for an expansion-day read.
The script studies CPR width, the current anchor open, accepted closes beyond CPR, developing range expansion, target room, and the active invalidation shelf. These components are converted into a 0-100 Expansion Score and a clear next-action state.
It produces a CPR band, projected expansion room, target rail, invalidation shelf, state labels, alerts, and a clean AGPro planning panel. It does not predict future price movement, automate trades, or guarantee continuation.
🎯 Purpose & Design Philosophy
This script was built for traders who already watch CPR but want a more practical planning layer than a static pivot display.
Many CPR tools show the Central Pivot Range and leave the user to decide whether the day is balanced, expanding, failing, or already extended. This script fills that gap by translating CPR context into readiness, room, invalidation, and action language.
The design supports a planning mindset: identify the CPR base, check whether price is accepting beyond it, measure whether expansion has room, and keep the invalidation shelf visible.
⚡ Why This Script Is Different
Most tools focus on plotting CPR lines, daily pivots, or support/resistance reactions.
This script does NOT clone a Pivot Points Reaction Map, does not plot a full pivot ladder, and does not treat every pivot touch as a reaction signal.
Instead, it focuses on one question: is the CPR context preparing an expansion day with enough acceptance, range development, and target room to deserve attention?
⚙️ Methodology
1. Context Detection
The script builds CPR from the selected anchor and reads whether price is working above, below, or inside the CPR structure.
2. Reference Mapping
It maps the CPR band, accepted expansion side, invalidation shelf, projected target rail, and active expansion room.
3. Reaction Evaluation
The model scores CPR width, open location, accepted closes beyond CPR, current range expansion, and target room.
4. Visual Output
The result is shown through CPR zones, state labels, planner rails, deterministic alerts, and a premium AGPro panel.
🗺️ How to Read the Chart
Zones = the CPR band shows the active expansion base. The expansion room box shows the distance between the accepted CPR edge and the target rail.
Labels = READY, WATCH, ROOM, SHIFT, FOLLOW, and INVALID labels describe the current planning state.
Colors = green highlights bullish expansion context, pink highlights bearish expansion context, amber highlights room or follow-through review, indigo highlights watch states, and red highlights invalidation risk.
Panel = the panel summarizes CPR Width, Accepted Side, Expansion Score, Invalidation, and Action.
🚦 Signals & States
• READY → CPR acceptance, score, room, and confirmation are aligned.
• WATCH → price is beyond CPR but still needs cleaner confirmation or score improvement.
• ROOM BLOCKED → CPR acceptance exists, but the target rail is too close or already reached.
• EXTENDED → price has moved beyond the planned target room and late-chase risk is elevated.
• INVALID RISK → price has reached the active invalidation shelf.
• SHIFT → the accepted expansion side changed after a previous READY state.
🔔 Alerts Logic
Alerts trigger when the script detects a READY CPR expansion state, accepted side shift, invalidation risk, major follow-through, or blocked target room.
Alerts are attention markers. They are not trade instructions, automated entries, or exit commands.
🧩 Confluence Logic
The strongest context appears when narrow CPR width, a balanced anchor open, accepted closes beyond CPR, range expansion, and clean target room align.
When only one or two components are present, the script usually stays in WATCH, ROOM BLOCKED, or WAIT rather than forcing a strong state.
📊 When to Use
• Intraday markets where Daily CPR is a visible reference.
• Swing contexts where Weekly CPR is more relevant.
• Potential expansion days after narrow CPR conditions.
• Sessions where price begins accepting clearly beyond the CPR band.
• Traders who want risk and target context around CPR instead of only static lines.
⚠️ When NOT to Use
• Very low-liquidity symbols with unreliable volume and wide spreads.
• Extremely noisy sessions where price repeatedly crosses CPR without acceptance.
• News-driven volatility where normal CPR structure can be overwhelmed.
• Markets where the selected CPR anchor is not meaningful for the user's timeframe.
🎛️ Key Inputs
• CPR Anchor → switches between Daily and Weekly CPR.
• Sensitivity → adjusts how quickly the planner recognizes CPR expansion conditions.
• Confirmation Mode → controls whether acceptance requires close confirmation, volume support, or stricter alignment.
• READY Threshold → sets the minimum Expansion Score for READY states.
• Clean Target Room ATR → defines how much space is needed before the target rail is considered clean.
• Event Label Cooldown → controls label density and keeps the chart readable.
• Panel and Label Font Size → controls visual readability.
🖥️ Interface & Visual Design
The interface is chart-first.
The CPR band anchors the setup, the expansion room gives directional context, and the invalidation shelf keeps risk visible. The panel is intentionally compact, with one merged blue AGPro title row and five decision rows.
The goal is a premium PulseWire visual: informative enough to avoid an empty chart, but restrained enough to stay clean.
🧪 Practical Usage Workflow
1. Read the panel and check the Expansion Score.
2. Identify whether price is accepting above or below CPR.
3. Review the expansion room and target rail.
4. Check the invalidation shelf.
5. Interpret READY, WATCH, ROOM, FOLLOW, or INVALID as planning context.
🔍 Interpretation Guidelines
Think in terms of structure, not prediction.
A narrow CPR can create expansion potential, but it still needs acceptance. Acceptance can be useful only if there is enough target room. A strong score with limited room may be less attractive than a moderate score with cleaner structure.
The script helps organize the CPR read; it does not replace broader market context.
🚫 What This Script Is NOT
• Not a prediction engine.
• Not financial advice.
• Not an auto trading system.
• Not a guaranteed signal generator.
• Not a full pivot ladder or generic support/resistance reaction map.
⚠️ Limitations & Transparency
• CPR behavior can vary across assets and sessions.
• Timeframe selection changes how the CPR anchor should be interpreted.
• High-impact news can distort normal expansion behavior.
• Thin liquidity can create false acceptance beyond CPR.
• The score is rule-based and should be interpreted within broader market context.
🧠 Market Context Notes
CPR can help frame session balance and directional acceptance. A narrow CPR often attracts expansion-day attention, but the useful question is not only whether CPR is narrow. The useful question is whether price accepts away from it with room, structure, and a clear invalidation reference.
🧾 Use Case Examples
When price opens near CPR, accepts above the top of the range, and develops range expansion with clean target room, the script may shift toward READY.
When price moves beyond CPR but immediately reaches the target rail, the script can mark ROOM BLOCKED or EXTENDED.
When price fails back through the opposite CPR edge, the planner can show INVALID RISK.
🧱 System Philosophy
AGPro Series tools are designed to turn visible market structure into practical decision context.
This script follows that philosophy by converting CPR from a passive reference into a structured expansion planner with score, state, risk, and target logic.
🔐 Non-Promise Statement
No guarantees.
No certainty.
No script can remove market risk or replace user responsibility.
📉 Risk Disclosure
Trading involves risk.
Users are responsible for their own decisions, risk management, and interpretation of market conditions.
This script is for educational and analytical purposes only and does not provide financial advice.
📚 Educational Note
Use the script to study how CPR width, acceptance, range expansion, and target room interact over time. The best value comes from reviewing repeated examples across different symbols, sessions, and timeframes.
Indicator
Trend Re-Entry Planner [AGPro Series]Trend Re-Entry Planner
🧠 Core Idea
Is an active trend pullback creating a clean re-entry planning context, or is the reset becoming too risky?
📌 Overview / What it does
Trend Re-Entry Planner is a chart-first trend continuation planning tool designed to evaluate pullbacks inside an active trend structure. The default profile is tuned for 1H charts, where re-entry pockets, trigger candles, invalidation edges, and target-room context usually remain more readable.
The script builds a re-entry pocket from the current impulse range, scores the quality of the pullback, maps a trend defense line, shows an invalidation edge, and estimates target-room context. The goal is to help users judge whether a pullback is becoming organized enough for review or whether the trend context should be rebuilt.
It does not predict price, automate entries, or turn every pullback into a signal. It is a rule-based planning framework for evaluating trend re-entry structure.
🎯 Purpose & Design Philosophy
This script was built for traders who already track trend continuation but want a cleaner way to decide whether a pullback is worth attention.
Many trend tools show direction. Many pullback tools mark a reaction. This script focuses on the planning layer between those two ideas: trend side, pullback depth, reset quality, trigger behavior, target room, risk edge, and next action.
The design supports a disciplined workflow: evaluate context first, then decide whether the setup is ready, confirmed, invalidated, or still waiting.
⚡ Why This Script Is Different
Most tools focus on trend direction, moving average crosses, or broad pullback labels.
This script does NOT clone SuperTrend pullback grading, generic trend continuation signals, or low-volume pullback zones.
Instead, it uses an EMA trend stack and impulse-based re-entry pocket to build a planning view around the current pullback. The output is not just a marker. It is a decision panel with a 0-100 re-entry score, pullback depth, risk edge, target-room context, and next-action state.
⚙️ Methodology
1. Context Detection
The script identifies active bullish or bearish trend structure using an EMA stack and directional slope.
2. Reference Mapping
It maps the current impulse range and builds a concept-native re-entry pocket from that range.
3. Reaction Evaluation
The engine scores trend slope, pullback depth, reset quality near the mid EMA, trigger candle behavior, and target-room availability.
4. Visual Output
The script displays the re-entry pocket, invalidation edge, target-room guide, event labels, sparse context labels, and a premium AG Pro planning panel.
🗺️ How to Read the Chart
Zones = the re-entry pocket and target-room area used for planning context.
Labels = READY, CONFIRMED, INVALIDATED, FOLLOW-THROUGH, and sparse context states.
Colors = teal for bullish continuation context, pink for bearish or invalidation context, yellow for watch/review states, and indigo for target-room or follow-through emphasis.
Panel = the compact decision dashboard showing trend side, re-entry score, pullback depth, risk edge, and action.
🚦 Signals & States
• WATCH → the pullback is developing but still needs confirmation or cleaner structure.
• READY → the re-entry context has enough quality for closer review.
• CONFIRMED → a qualifying trigger candle appears after the pullback context improves.
• FOLLOW-THROUGH → the confirmed context produces a stronger continuation marker.
• INVALIDATED → price crosses the active invalidation edge and the plan should be rebuilt.
🔔 Alerts Logic
Alerts trigger when the script detects READY, CONFIRMED, INVALIDATED, or FOLLOW-THROUGH states.
Each alert is an attention marker tied to the rule-based state engine. Alerts are not trade instructions and do not guarantee that continuation will occur.
🧩 Confluence Logic
The context becomes stronger when trend slope, pullback depth, mid-EMA reset quality, trigger candle behavior, and target-room availability align.
The script intentionally requires multiple conditions instead of labeling every trend pullback as meaningful.
📊 When to Use
• 1H charts with active directional structure
• Directional markets with clear trend structure
• Pullbacks after a visible impulse move
• Continuation review workflows
• Trend-following plans where risk edge and target room matter
⚠️ When NOT to Use
• Low-liquidity symbols with unreliable price movement
• Extremely choppy markets with frequent trend-stack flips
• News-driven volatility where pullback structure changes too quickly
• Markets where the active impulse range is stale or unclear
🎛️ Key Inputs
• Sensitivity → adjusts how selective the re-entry score model is.
• Planning Profile → keeps the default behavior tuned for hourly re-entry planning or allows manual/higher-timeframe adjustment.
• Impulse Lookback → controls the range used to build the re-entry pocket.
• Re-Entry Depth settings → define the shallow, ideal, and deep areas of the pocket.
• Thresholds → control WATCH, READY, and CONFIRMED state requirements.
• Visual settings → control zones, EMA stack, labels, panel theme, panel location, and font sizes.
🖥️ Interface & Visual Design
The interface is built around a clean AG Pro panel and chart-first planning visuals.
The re-entry pocket and target-room guide are intentionally restrained so price remains readable. Labels are limited and spaced to keep the chart informative without becoming crowded.
The first panel row uses the standard AGPro merged blue header format.
🧪 Practical Usage Workflow
1. Read the panel to identify trend side and current action.
2. Check whether price is interacting with the re-entry pocket.
3. Evaluate the score, pullback depth, and risk edge.
4. Wait for READY or CONFIRMED state before treating the context as review-worthy.
5. Rebuild the plan if the invalidation edge is crossed.
🔍 Interpretation Guidelines
Think in terms of planning quality, not certainty.
A higher score means the current pullback has more constructive re-entry characteristics according to the script's rule set. A lower score means the pullback is less organized, has poor target room, lacks a clear trigger, or has moved too close to invalidation.
Use the script as a structure-reading tool within broader market context.
🚫 What This Script Is NOT
• Not a prediction engine
• Not financial advice
• Not an auto-trading system
• Not guaranteed signals
• Not a SuperTrend pullback clone
• Not a generic support/resistance zone map
⚠️ Limitations & Transparency
The script is rule-based and depends on visible chart data.
Timeframe differences, volatility shifts, low liquidity, and sudden news events can change how re-entry structure appears.
The score reflects the internal model only. It does not know future order flow, future liquidity, or future market intent.
🧠 Market Context Notes
Trend re-entry quality is usually clearer when a market has directional structure, a readable impulse, and enough room before nearby obstacles.
When a trend is mature, overly extended, or choppy, the same pullback behavior may carry less useful information.
🧾 Use Case Examples
When price pulls into the re-entry pocket during a bullish EMA stack and then prints a constructive trigger candle, the script may shift from WATCH to READY or CONFIRMED.
When price crosses the invalidation edge, the script marks the context as INVALIDATED so the user can rebuild the plan instead of forcing the old structure.
🧱 System Philosophy
AGPro planning tools are designed to turn chart structure into a clearer decision workflow.
This script follows that philosophy by focusing on context, readiness, risk edge, and next action rather than simple signal output.
🔐 Non-Promise Statement
No script can guarantee continuation, reversal, profit, or accuracy.
This tool provides structured context only. Users should combine it with their own analysis, timeframe review, and risk management process.
📉 Risk Disclosure
Trading involves risk.
Users are responsible for their own decisions, position sizing, trade management, and risk control.
This script does not provide financial advice and does not guarantee trading outcomes.
📚 Educational Note
Trend Re-Entry Planner is intended to help users study how pullbacks behave inside active trend structure and how planning context can be organized more clearly.
Indicator
Retest Defense Planner [AGPro Series]Retest Defense Planner
🧠 Core Idea
Is a retested level still being defended strongly enough to keep the planning context alive?
📌 Overview / What it does
Retest Defense Planner is a chart-first decision tool built for traders who review how price behaves after returning to an active defense shelf.
Instead of treating every level touch as meaningful, the script evaluates whether the shelf is actually being protected. It measures retest depth, wick defense, close response, time at level, volume support, target room, and risk-edge distance, then converts that evidence into a 0-100 Retest Score and a clear next-action state.
The default view is tuned for clear 4H-style retest review, where shelf defense, reaction quality, and short-term follow-through are usually easier to read than on very compressed timeframes. The script still works across timeframes, but users should adjust shelf age, projection bars, and sensitivity when changing market rhythm.
The script produces a defense zone, active defense rail, risk edge, target-room guide, follow-through guide, compact chart labels, alerts, and a clean AGPro planning panel. It does not predict price movement, automate execution, or provide guaranteed outcomes.
🎯 Purpose & Design Philosophy
This script was built to fill the gap between simple level plotting and full structure scanners.
Many traders can identify that price has returned to a level, but the harder question is whether the level is still being defended cleanly enough to deserve attention. Retest Defense Planner focuses on that decision layer.
The design supports a planning mindset: read the defense state, check the score, locate the risk edge, compare target room, and decide what deserves review next.
⚡ Why This Script Is Different
Most retest tools focus on structure breaks, swing-leg pullbacks, support/resistance maps, or broad breakout retest signals.
This script does NOT clone Structure Retest Planner, Swing Retest Quality, Breakout Retest Readiness, Break-Retest Quality, Breaker Block Engine, or a generic S/R zone map.
Instead, it evaluates one active defense shelf and asks whether the shelf is surviving the retest. The main output is not a signal. It is a decision state: DEFENDED, WATCH, WEAK RETEST, APPROACH, DEFENSE LOST, WAIT, or SCAN.
⚙️ Methodology
1. Context Detection
The script identifies fresh support-side or resistance-side defense shelves using confirmed pivot behavior and optional automatic side selection.
2. Reference Mapping
It maps one active defense zone, a shelf rail, a risk edge, and a target-room guide. These are planning references, not trade instructions.
3. Reaction Evaluation
The 0-100 model scores retest depth, wick defense, close response, time at level, and volume support.
4. Visual Output
The chart shows the active defense zone with centered text, event labels, guide lines, and the AGPro decision panel.
🗺️ How to Read the Chart
Defense Zone = the active shelf area being evaluated after price returns to it.
Defense Rail = the exact reference shelf the model is monitoring.
Risk Edge = the planning line where the active defense context is considered lost.
Target-Room Guide = a forward context guide based on the current shelf-to-risk distance.
Labels = compact TEST, DEFENDED, WATCH, WEAK, LOST, and context labels.
Colors = teal marks bullish support-defense context, pink marks bearish resistance-defense context, amber marks caution/review, indigo marks watch/transition, and red marks lost defense.
Panel = the AGPro panel summarizes Defense State, Retest Score, Reaction Quality, Risk Edge, and Action.
🚦 Signals & States
• DEFENDED → the shelf has been retested and the defense score is strong enough for structured review.
• WATCH → the response is developing, but confirmation or room is still incomplete.
• WEAK RETEST → price touched the shelf, but response quality is not strong enough.
• APPROACH → price is near the active defense shelf and a retest review may be forming.
• DEFENSE LOST → price crossed the risk edge and the active shelf context should be rebuilt.
• WAIT → an active shelf exists, but price is not close enough for a useful review.
• SCAN → no fresh defense shelf is active yet.
🔔 Alerts Logic
Alerts trigger when price touches the active defense zone, when a defended retest appears, when watch context appears, when a weak retest is detected, and when the risk edge is crossed.
Alerts are attention markers only. They are not trade instructions, automated strategy commands, or outcome promises.
🧩 Confluence Logic
The strongest context appears when a controlled retest probe, visible wick defense, constructive close response, enough hold time, supportive relative volume, and usable target room align.
When those components conflict, the panel moves toward WATCH, WEAK RETEST, RISK REVIEW, or DEFENSE LOST.
📊 When to Use
• Pullbacks into a defended support shelf
• Retests of a resistance shelf after bearish pressure
• 4H retest reviews where shelf defense and reaction candles are visually readable
• Continuation planning where the level has already been identified by price action
• Risk planning where invalidation and target room matter
• Liquid markets where candles, pivots, and volume behavior are readable
⚠️ When NOT to Use
• Very low-liquidity symbols with irregular candles
• Extremely noisy micro-timeframes
• News-driven spikes where shelf behavior becomes distorted
• Markets where pivot structure is too compressed to form useful shelves
• Situations where the user expects a signal-only tool
🎛️ Key Inputs
• Defense Side → selects Auto, Bullish Defense, or Bearish Defense.
• Defense Pivot Length → controls how confirmed shelves are detected.
• Max Shelf Age → controls how long a shelf remains eligible.
• Sensitivity → adjusts activation distance and zone tolerance.
• Response Window Bars → controls how long the retest response remains active.
• Risk Edge ATR → controls the planning risk edge behind the shelf.
• DEFENDED Score → sets the score threshold for stronger review states.
• Label and Panel Font Size → controls chart-label and panel readability.
• Panel Location and Theme → adjusts the AGPro panel layout.
🖥️ Interface & Visual Design
The interface is designed to stay chart-first and decision-led.
The defense zone is the main visual object. The centered label keeps the zone readable without adding extra floating text. The risk edge and target guide explain where the planning context weakens and how much room remains.
The AGPro panel uses a merged blue title row and five compact rows so the user can read state, score, reaction quality, risk, and next action quickly.
🧪 Practical Usage Workflow
1. Read the panel state and Retest Score.
2. Check whether price is approaching or touching the defense zone.
3. Compare the shelf rail with the risk edge.
4. Review whether the label says TEST, DEFENDED, WATCH, WEAK, or LOST.
5. Confirm the broader market context before making any decision.
🔍 Interpretation Guidelines
Think in terms of defense quality, not prediction.
A higher score means multiple defense components align inside the script's rule set. A weaker score means the retest may be too shallow, too deep, too fast, too noisy, or missing a constructive close response.
The script helps organize the review process. It does not replace judgment.
🚫 What This Script Is NOT
• Not a prediction engine
• Not financial advice
• Not an auto-trading system
• Not a guaranteed signal tool
• Not a BOS / CHOCH scanner
• Not a breakout retest scanner
• Not a swing-leg retest tool
• Not an order block, FVG, or supply/demand map
• Not a generic support/resistance zone map
⚠️ Limitations & Transparency
• Pivot-based shelf references appear only after pivots are confirmed.
• Scores can vary across symbols, sessions, and timeframes.
• Volume scoring depends on exchange-provided volume data.
• Fast volatility can cross a shelf before a clean defense can be measured.
• In Live Updating mode, active-bar values can change before the bar closes.
🧠 Market Context Notes
Retest defense is easiest to interpret when liquidity, volatility, and trend context are readable.
A defended shelf is not enough by itself. The reaction, close location, hold time, risk edge, and target room all matter.
🧾 Use Case Examples
When price returns to a support shelf, probes the defense zone, forms a visible lower wick, and closes back above the shelf with enough target room, the planner may mark DEFENDED.
When price touches the shelf but closes weakly with poor reaction quality, the planner may show WEAK RETEST or WATCH.
When price crosses the risk edge, DEFENSE LOST indicates that the active context should be rebuilt.
🧱 System Philosophy
Retest Defense Planner follows the AGPro decision-engine approach: map the context, score the quality, show the risk reference, show the target room, and summarize the next action without issuing trade commands.
🔐 Non-Promise Statement
No indicator can provide certainty.
The script does not guarantee that a retest will hold, continue, reverse, or produce any specific outcome.
📉 Risk Disclosure
Trading involves risk.
Users are 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
Use the script as a structured retest-defense review framework. The best results come from combining the panel, zones, labels, and alerts with broader chart context and disciplined risk evaluation.
Indicator
Range Rejection Planner [AGPro Series]Range Rejection Planner
🧠 Core Idea
Is price rejecting a range edge with enough quality to monitor back toward the midline?
📌 Overview / What it does
Range Rejection Planner is a chart-first range reaction decision engine built to evaluate whether price is rejecting the active range edge with enough structure to deserve attention.
The script maps one relevant range edge, a focused edge-reaction zone, wick rejection behavior, close-back-inside quality, midline room, invalidation shelf, failure risk, event labels, alerts, and a clean AGPro planning panel. These components are converted into a 0-100 Rejection Score and a clear next-action state.
It does not predict price movement, automate trades, draw a full support/resistance library, or guarantee that a range edge will hold. Its purpose is to organize the range-edge rejection review process with practical risk and midline context.
🎯 Purpose & Design Philosophy
This script was built for traders who want to evaluate range-edge reactions without turning the chart into a crowded level map.
Many range tools show boundaries, fills, or breakout markers, but they often stop before answering the practical planning question: did price actually reject the edge, is there room back to the midline, and where does the idea fail?
The design philosophy is simple: a range-edge rejection is only useful when the edge interaction, wick response, close-back-inside behavior, midline room, and failure shelf can be read together.
⚡ Why This Script Is Different
Most tools focus on drawing support/resistance zones, marking every range touch, or highlighting breakouts.
This script does NOT clone Support Resistance Reaction Map, does not build a multi-level S/R inventory, and does not act as a broad breakout or break-retest scanner.
Instead, it focuses on one active range and one active edge. The main output is not a buy/sell signal. It is a planning state that helps users decide whether the edge rejection deserves review, whether midline room exists, and whether failure risk is rising.
⚙️ Methodology
1. Context Detection
The script builds an active range from previous bars and identifies whether price is interacting with the upper or lower edge.
2. Reference Mapping
It maps the relevant edge zone, the range midline, and an invalidation shelf beyond the rejected edge.
3. Reaction Evaluation
The model scores edge proximity, wick rejection, close-back-inside quality, relative volume response, midline room, and active range quality.
4. Visual Output
The result appears as a centered range-edge zone, a midline review path, guide lines, compact state labels, alerts, and a premium AGPro panel.
🗺️ How to Read the Chart
Zones = the active range-edge zone shows the relevant upper or lower boundary being evaluated. The zone label is centered inside the shape.
Midline Path = the projected review area between the rejected edge and the range midline. It helps show whether there is enough room for interpretation.
Labels = compact markers show EDGE WATCH, REJECT READY, MIDLINE REVIEW, MIDLINE HIT, or FAILURE RISK context.
Colors = teal supports lower-edge rejection context, pink supports upper-edge rejection context, amber highlights review states, and indigo marks midline references.
Panel = the panel summarizes Range Edge, Rejection Score, Midline Room, Failure Risk, and Action.
🚦 Signals & States
• EDGE WATCH → price is probing a range edge and early rejection conditions are developing.
• REJECT READY → range-edge rejection quality reached the selected score threshold.
• MIDLINE REVIEW → an active rejection context is being monitored toward the range midline.
• MIDLINE HIT → price reached the active range midline after a rejection context.
• FAILURE RISK → price crossed the invalidation shelf beyond the rejected edge.
• RANGE WAIT → a range exists, but the edge interaction is not strong enough yet.
🔔 Alerts Logic
Alerts trigger when the planner enters EDGE WATCH, REJECT READY, MIDLINE REVIEW, MIDLINE HIT, or FAILURE RISK.
Each alert is an attention marker. Alerts are not trade instructions, entry commands, exit commands, or automated strategy rules.
🧩 Confluence Logic
The strongest context appears when several conditions align:
Range edge probe + strong rejection wick + close back inside the range + supportive relative volume + meaningful room back to the midline + a clear invalidation shelf.
When these components weaken, the planner can stay in EDGE WATCH, return to RANGE WAIT, or shift into FAILURE RISK.
📊 When to Use
• During range-bound markets where edge reactions matter
• When price probes the upper or lower boundary of a recent range
• When evaluating whether an edge rejection has enough midline room
• When a trader wants risk and invalidation context around a range reaction
• On liquid symbols where wicks, volume, and range boundaries are readable
⚠️ When NOT to Use
• Extremely low-liquidity symbols with unreliable wicks or volume
• Very noisy micro-timeframes where range edges shift too often
• News-driven volatility spikes that distort normal range behavior
• Strong trend expansion where range rejection is no longer the main context
• Situations where the user expects automatic buy/sell signals
🎛️ Key Inputs
• Range Edge Mode → chooses Auto, Upper Edge Rejection, or Lower Edge Rejection.
• Active Range Lookback → controls the previous-bar range used for edge evaluation.
• Range Edge Zone ATR → controls the width of the focused edge-reaction zone.
• Close-Back-Inside ATR → defines how much price should close back inside after probing an edge.
• Invalidation Shelf ATR → controls the failure-risk reference beyond the rejected edge.
• REJECT READY Threshold → sets the minimum 0-100 score for the strongest rejection state.
• Label and Panel Font Size → controls visual readability.
🖥️ Interface & Visual Design
The interface is designed to stay chart-first.
The active edge zone gives the main visual reference. The midline path shows the review area. The invalidation shelf defines where the rejection context becomes weaker. The panel provides a compact decision summary without replacing the chart.
The AGPro panel follows the standard first row format: one merged blue title row containing only the script name.
🧪 Practical Usage Workflow
1. Read the panel state and Rejection Score.
2. Check which range edge is active.
3. Review the wick rejection and close-back-inside context.
4. Compare the midline room with the invalidation shelf.
5. Treat alerts as attention markers, then evaluate broader market context.
🔍 Interpretation Guidelines
Think in terms of rejection quality, not prediction.
A stronger score means multiple range-reaction conditions are aligned. A weaker score means the edge interaction may be early, noisy, too close to the midline, or vulnerable to failure.
Failure Risk does not forecast a breakout. It means the active rejection context has crossed its rule-based failure shelf and should be reviewed.
🚫 What This Script Is NOT
• Not a prediction engine
• Not financial advice
• Not an auto-trading system
• Not a guaranteed signal tool
• Not a generic support/resistance map
• Not a full range breakout scanner
⚠️ Limitations & Transparency
The script is rule-based and depends on recent price, range, wick, volatility, and volume behavior.
Timeframe changes can alter the active range, score, edge zone, midline room, and invalidation shelf. Volatility spikes can temporarily distort range boundaries. Symbols with unreliable volume may produce weaker participation readings.
Outputs should always be interpreted with broader market structure, liquidity conditions, and independent risk planning.
🧠 Market Context Notes
Range-edge rejection is most useful when the market is respecting a bounded structure and still has meaningful space toward the middle of the range.
If price starts expanding beyond the edge, this tool intentionally shifts attention from rejection quality toward failure risk instead of calling continuation or reversal with certainty.
🧾 Use Case Examples
When price probes above the active range high, prints a strong upper wick, closes back inside, and still has clear room toward the midline, the planner may classify the context as REJECT READY.
When price touches the lower edge but closes weakly, lacks wick response, or sits too close to the midline, the planner may remain in EDGE WATCH or RANGE WAIT.
When price crosses the invalidation shelf beyond the rejected edge, the planner marks FAILURE RISK for review.
🧱 System Philosophy
AGPro planning tools are designed to help traders make a decision, not simply see another signal.
This script follows that philosophy by turning range rejection into a practical decision question:
Is the edge interaction valid?
How strong is the rejection?
Where is the midline reference?
Where is the failure shelf?
What should I review now?
🔐 Non-Promise Statement
No script can remove uncertainty.
No state, score, label, zone, line, or alert guarantees a future market outcome.
📉 Risk Disclosure
Trading involves risk. Market conditions can change quickly, and no script can eliminate uncertainty.
Users are responsible for their own analysis, risk management, and decisions.
This script is for educational and analytical use only and does not provide financial advice.
📚 Educational Note
Use the planner to study how range edges behave across different markets and timeframes. The most useful reading comes from comparing the edge zone, wick response, midline room, failure shelf, panel state, and broader market context together.
Indicator
Stop Run Continuation Planner [AGPro Series]Stop Run Continuation Planner
🧠 Core Idea
Did the stop run fuel continuation instead of reversal?
📌 Overview / What it does
Stop Run Continuation Planner is a chart-first liquidity continuation tool built around a specific post-sweep question: after price runs stops beyond a recent high or low, is the market reclaiming back inside for reversal, or accepting beyond the swept edge for continuation?
The script maps stop-run zones, continuation references, invalidation edges, target corridors, compact state labels, alerts, a 0-100 Continuation Score, and a Reversal Risk reading. It is designed to organize observable stop-run behavior into a structured planning workflow.
It does not predict future price, automate execution, or issue buy and sell commands. It is an analytical and visualization tool built for structured review.
🎯 Purpose & Design Philosophy
This script was built for the cases where a stop run does not turn into a reversal. Many liquidity tools focus on the sweep itself. This script focuses on what happens after the sweep.
The design supports a planner mindset: identify the stop run, measure continuation acceptance, locate invalidation, estimate target room, judge reversal risk, and decide what deserves attention next.
⚡ Why This Script Is Different
Most stop-run tools focus on reversal reclaim behavior, generic liquidity grabs, or broad SMC-style mapping.
This script does NOT treat every sweep as a reversal event.
Instead, it evaluates whether price is accepting beyond the swept edge with enough quality, target room, and controlled reversal risk to justify a continuation review.
⚙ Methodology
1. Context Detection
Recent high and low references are defined with a configurable lookback.
2. Reference Mapping
When price sweeps beyond a reference, the script maps the swept edge, continuation side, invalidation edge, and forward target corridor.
3. Reaction Evaluation
Continuation Score blends sweep depth, close acceptance, volume participation, trend-side support, and target room. Reversal Risk tracks rejection, weak acceptance, and context conflict.
4. Visual Output
Qualified states produce stop-run boxes, target corridors, compact labels, alerts, and a clean AG Pro panel.
🗺 How to Read the Chart
Zones = the active stop-run area between the swept reference and the sweep extreme.
Corridors = the forward review area used for target room assessment.
Labels = watch or continuation state markers.
Colors = teal for bullish continuation context, pink for bearish continuation context, and red for invalidation pressure.
Panel = Stop Run, Continuation Score, Reversal Risk, Target Room, and Action.
🚦 Signals & States
• Upper Run Watch → price swept a recent high, but continuation acceptance still needs confirmation.
• Lower Run Watch → price swept a recent low, but continuation acceptance still needs confirmation.
• Bull Continuation Ready → bullish post-sweep continuation quality is strong enough for review.
• Bear Continuation Ready → bearish post-sweep continuation quality is strong enough for review.
• Invalidation Review → price has moved through the active invalidation edge.
• Target Review → price is testing the active target corridor.
• Reversal Risk Elevated → rejection risk is growing and continuation quality is weakening.
🔔 Alerts Logic
Alerts trigger when bullish or bearish continuation reaches ready state, when a watch condition appears, when invalidation review is triggered, when price tests the target corridor, or when reversal risk becomes elevated.
Important: alerts are attention markers, not trade instructions.
🧩 Confluence Logic
When sweep depth, close acceptance, volume participation, trend support, and clean target room align, the continuation context becomes stronger.
When price closes back inside the swept edge or rejection grows, Reversal Risk rises and the continuation plan weakens.
📊 When to Use
• After price runs above recent highs or below recent lows
• During breakout continuation attempts after a liquidity sweep
• In trending or expanding markets
• When traders need risk, target, and next-action context after a fast sweep event
⚠️ When NOT to Use
• Extremely low-liquidity markets
• Very noisy micro-timeframes
• News-driven candles with abnormal spread or slippage
• Markets where volume data is unreliable
• Situations where the user expects automated entries or guaranteed outcomes
🎛️ Key Inputs
• Continuation Side → evaluates bullish events, bearish events, or both
• Sensitivity → changes how strict the continuation requirements are
• Stop-Run Reference Lookback → defines the sweep reference levels
• Confirmation Mode → changes how much confirmation is required
• Minimum Continuation Score → sets the ready threshold
• Watch Score → controls earlier watch-state visibility
• Invalidation Edge Buffer → adjusts the wrong-side planning edge
• Target Corridor R Multiple → controls target-corridor projection
• Visual settings → control zones, labels, font size, panel location, and render limits
🖥️ Interface & Visual Design
The script is chart-first and decision-focused. The chart carries the zones, corridors, and labels. The panel provides a compact state summary without turning the script into a crowded dashboard.
The first panel row follows the AGPro standard: one merged blue header row containing only the script name.
🧪 Practical Usage Workflow
1. Read the panel state and Continuation Score.
2. Check whether price swept above a recent high or below a recent low.
3. Review whether price is accepting beyond the swept edge.
4. Compare Reversal Risk with the invalidation edge.
5. Review target room before treating continuation as stronger context.
🔍 Interpretation Guidelines
A high Continuation Score means the stop run is showing stronger continuation behavior under the script rules. It does not mean continuation must happen.
The invalidation edge and target corridor are planning references, not guaranteed levels.
The best use is to compare the planner state with broader market structure, liquidity, volatility, and personal risk process.
🚫 What This Script Is NOT
• Not a prediction engine
• Not financial advice
• Not auto trading
• Not guaranteed signals
• Not a generic support/resistance map
• Not an order-block or FVG scanner
• Not a stop-run reversal tool
⚠️ Limitations & Transparency
Stop-run behavior changes across symbols, sessions, and timeframes.
High volatility can widen risk and target references.
Low liquidity can distort sweep quality, volume response, and label timing.
No rule-based script can fully account for news, spread changes, slippage, or sudden liquidity shifts.
🧠 Market Context Notes
Stop runs often happen near visible highs, lows, session extremes, or recent structure.
A sweep becomes more useful for continuation planning when the market accepts beyond the swept edge instead of reclaiming back inside.
🧾 Use Case Examples
When price sweeps above a recent high, closes beyond the swept edge, and the Continuation Score improves, the planner may show bullish continuation readiness.
When price sweeps below a recent low and continues accepting below that edge, the planner may show bearish continuation readiness.
When price sweeps but closes back inside with stronger rejection, Reversal Risk can rise and the panel may shift to caution.
🧱 System Philosophy
AGProLabs tools are built around structured interpretation. The goal is not to add another raw signal. The goal is to turn market behavior into a cleaner review process with score, state, risk, target, and next action.
🔐 Non-Promise Statement
No indicator can remove uncertainty.
No score can guarantee continuation.
No zone, label, panel row, alert, or corridor should be interpreted as a guaranteed outcome.
📉 Risk Disclosure
Trading involves risk.
This script is provided for educational and analytical use only.
It does not provide financial advice or guaranteed trading outcomes.
Users remain responsible for their own analysis, risk management, and execution.
Indicator
Opening Pullback Planner [AGPro Series]Opening Pullback Planner
🧠 Core Idea
Is the first pullback after the open constructive, failing, or too stale to plan around?
📌 Overview / What it does
Opening Pullback Planner is a session pullback decision tool built around the first meaningful retracement after the opening drive. Instead of treating the open as only a breakout moment, it waits for the drive reference to lock, then maps the pullback area where continuation quality can be evaluated.
The script produces an opening pullback box, continuation trigger, failure line, target-room guide, 0-100 continuation score, risk-edge reading, compact event labels, alerts, and a clean AG Pro planning panel.
It does not predict price direction, automate trades, or mark every opening range breakout. Its purpose is to organize the pullback phase after the opening drive so traders can judge whether the first reset is constructive, failing, invalidated, or no longer worth attention.
🎯 Purpose & Design Philosophy
Many session tools focus on the first opening break, the opening range, or the first impulse. The problem is that a strong open often becomes difficult to plan only after price pulls back.
Opening Pullback Planner was built to fill that gap. It helps traders who study intraday continuation, first-pullback behavior, session execution, and risk-defined planning after the initial move.
The design philosophy is simple: lock the opening drive, map the first pullback box, evaluate recovery quality, define the failure line, and keep the next action readable without turning the chart into a crowded signal board.
⚡ Why This Script Is Different
Most tools focus on opening range breakouts, first-drive strength, fixed session boxes, or generic pullback signals.
This script does NOT clone Opening Drive Quality, does NOT act as an ORB breakout tool, and does NOT draw generic support/resistance zones.
Instead, it focuses on the first pullback after the opening drive. It asks whether the pullback is deep enough to matter, shallow enough to preserve structure, recovering with acceptable close quality, holding a measurable failure line, and offering enough target room for continued review.
⚙️ Methodology
1. Context Detection
The script builds an opening reference from either a fixed session window or the first bars of the day. This creates the drive structure that the pullback plan will use.
2. Reference Mapping
After the opening reference locks, the script maps a drive-native pullback box, continuation trigger, failure line, and target-room guide.
3. Reaction Evaluation
The engine evaluates pullback depth, close recovery, relative volume, volatility fit, room-to-risk, and drive quality to create a 0-100 continuation score.
4. Visual Output
The chart shows the pullback box with centered text, continuation and failure references, target-room guide, compact event labels, optional markers, and the AG Pro panel.
🗺️ How to Read the Chart
Opening Pullback Box = the first pullback review area derived from the locked opening drive.
Continuation Trigger = the level price must reclaim or break after the pullback for continuation context to strengthen.
Failure Line = the invalidation reference where the active pullback plan loses structural integrity.
Target Guide = a projected target-room reference based on the opening drive range.
Labels = event markers for drive retain, pullback test, constructive recovery, trigger readiness, pullback risk, failure line, stale plan, and target check.
Colors = teal for bullish continuation context, pink for bearish or invalid context, amber for caution, and indigo for structural emphasis.
Panel = the decision layer showing Pullback State, Drive Side, Continuation Score, Risk Edge, and Action.
🚦 Signals & States
• DRIVE RETAIN → the opening drive quality is strong enough to map a pullback plan.
• PULLBACK TEST → price has entered the opening pullback box.
• CONSTRUCTIVE → pullback depth and recovery quality are acceptable inside the model.
• TRIGGER READY → price has moved through the continuation trigger after a valid pullback.
• PULLBACK RISK → the pullback is becoming too deep, slow, or weak for clean continuation review.
• FAILURE LINE → the active pullback plan has lost structural integrity.
• PULLBACK STALE → the first pullback plan did not resolve inside the review window.
• TARGET CHECK → price reached the projected target-room guide.
🔔 Alerts Logic
The script includes alerts for:
• Opening Pullback Plan Armed → a qualified opening drive mapped the first pullback plan.
• Opening Pullback Test → price is testing the pullback box.
• Constructive Opening Pullback → the pullback is recovering constructively.
• Opening Pullback Continuation Trigger → the continuation trigger is active after the pullback.
• Opening Pullback Failure Line Broken → the plan has broken its failure reference.
• Opening Pullback Plan Expired → the first pullback plan became stale before confirmation.
• Opening Pullback Target Check → price reached the target-room guide.
Alerts are attention markers. They are not trade instructions.
🧩 Confluence Logic
The context becomes stronger when the opening drive has acceptable quality, the first pullback reaches the planned box without violating the failure line, recovery closes improve, volume does not collapse during recovery, and target room remains clean.
The context becomes weaker when the pullback is too deep, recovery is poor, the plan takes too long to resolve, or price violates the failure line.
📊 When to Use
• Intraday session planning after the opening move.
• First-pullback continuation review.
• Daily chart review when the higher-timeframe fallback is enabled.
• Markets where the opening drive often creates a useful early reference.
• Stocks, indices, futures, crypto, or FX charts where the selected opening session is meaningful.
• Review workflows where risk edge and target room need to be visible.
⚠️ When NOT to Use
• Very low-liquidity markets.
• Extremely noisy opens with unstable spreads.
• News-driven bars that distort the opening reference.
• Higher timeframes where session pullback structure is not meaningful.
• Markets where the selected opening window does not represent real participation.
🎛️ Key Inputs
• Opening Reference Mode → chooses between a fixed session window and first bars of day.
• Opening Drive Window → defines the drive reference used before pullback mapping begins.
• Higher Timeframe Fallback → keeps daily, weekly, and monthly charts visually useful by mapping broader opening references.
• Sensitivity → adjusts how strict the planner is with pullback recovery and score requirements.
• Constructive Score Threshold → controls when constructive pullback labels can appear.
• Pullback Box Shallow / Ideal / Deep → define the preferred retracement area.
• Continuation Trigger Buffer ATR → adjusts the trigger line beyond the drive extreme.
• Failure Line Buffer ATR → adjusts the invalidation reference beyond the pullback box.
• Target Guide Range Multiple → controls the projected target-room guide.
• Visual settings → control box, lines, labels, markers, projection, label limits, and font size.
• Panel settings → control panel visibility, location, theme, and font size.
🖥️ Interface & Visual Design
The interface is chart-first and decision-focused. The main visual object is one opening pullback box with centered state text, supported by a continuation trigger, failure line, and target guide.
The panel follows the AGPro public-release standard with one merged blue header row containing only the script name. The five panel rows are Pullback State, Drive Side, Continuation Score, Risk Edge, and Action.
Labels are compact, capped, and offset away from candles so the chart stays active without becoming crowded.
🧪 Practical Usage Workflow
1. Let the opening reference lock.
2. Read the panel to see whether the drive retained enough quality.
3. Watch whether price tests the opening pullback box.
4. Evaluate the continuation score, recovery state, risk edge, and failure line.
5. Treat alerts and labels as review prompts, not instructions.
🔍 Interpretation Guidelines
A strong continuation score means the pullback is controlled, recovering cleanly, preserving the failure line, and keeping useful room to the projected target guide.
A constructive label means the first pullback is behaving better inside the model. It does not mean continuation must occur.
A failure-line label means the plan has lost the structure it needed for this specific pullback framework.
The best use comes from combining the panel state with broader market context, liquidity, volatility, higher-timeframe structure, and personal risk rules.
🚫 What This Script Is NOT
• Not a prediction engine.
• Not financial advice.
• Not auto trading.
• Not guaranteed signals.
• Not a generic support/resistance map.
• Not an order block or FVG scanner.
• Not an Opening Drive Quality clone.
• Not a full opening range breakout system.
⚠️ Limitations & Transparency
Timeframe selection affects the opening reference and the pullback box. A 5-minute chart and a 15-minute chart can produce different plans.
Session definitions matter. The selected opening window should match the asset and market being studied.
Higher-timeframe fallback mode is a broader chart-reference layer. It should be read as a weekly, monthly, or yearly opening-pullback framework rather than a literal intraday open.
Volatility changes can expand or compress risk, target, and pullback behavior.
Low liquidity, abnormal spreads, and high-impact news can reduce the usefulness of any opening pullback model.
🧠 Market Context Notes
The first pullback after the open can be useful because it tests whether the opening move still has sponsorship. A shallow pullback may show strength but offer limited risk clarity. A deep pullback may offer a better reset but also higher failure risk.
This script keeps that decision visible by separating drive retention, pullback quality, continuation trigger, failure line, and target room.
🧾 Use Case Examples
When price locks a bullish opening drive, pulls back into the mapped box, holds above the failure line, and recovers toward the continuation trigger, the panel may shift toward a constructive or ready state.
When price enters the pullback box but keeps closing weakly or pushes beyond the deep boundary, the planner may mark pullback risk.
When price breaks the failure line, the opening pullback plan is no longer structurally intact inside this model.
🧱 System Philosophy
Opening Pullback Planner follows the AGPro Series decision-engine approach: a script should help the trader evaluate validity, strength, risk, target room, and next action instead of only printing another signal.
The tool is built to make one session behavior easier to read: the first pullback after the opening drive.
🔐 Non-Promise Statement
No script can provide certainty.
No opening pullback model can guarantee continuation, reversal, or profitability.
This script provides structured context only.
📉 Risk Disclosure
Trading involves risk.
Users are responsible for their own decisions.
This script does not provide financial advice, investment advice, or guaranteed trading outcomes.
📚 Educational Note
Use this script as an educational planning and visualization tool. The strongest use comes from reading the first opening pullback together with broader market structure, liquidity, volatility, and personal risk rules.
Indicator
