INVITE-ONLY SCRIPT
Updated R-Expectancy Surface [AGPro Series]
R-Expectancy Surface [AGPro Series]
← LIGHT THEME HERO COVER (Daily, clean panel + heat surface)
🧠 Core Idea
How much does your edge improve if your win rate or your reward-to-risk rises — and where on that map does your setup sit right now?
Set the single trade aside. Across the whole landscape of possible win rates and payoffs, where does your edge live, how far is it from the breakeven line, and which lever moves it fastest toward robust positive expectancy?
📌 Overview / What it does
R-Expectancy Surface plots a two-dimensional heat surface of expected R per trade across the full plane of win rate (horizontal axis) and payoff R, the reward-to-risk ratio (vertical axis). Each cell on the grid shows the expectancy that combination of win rate and reward-to-risk produces, tier-colored from losing to winning, so the entire mathematics of your edge becomes a single readable map.
Your current setup — read automatically from a built-in trigger and proof engine, or entered manually — is placed as a marked cell on that surface. The breakeven frontier, the curve where expectancy is exactly zero, emerges naturally as the neutral diagonal band that separates the winning region from the losing one. Beyond a single expectancy number, the tool reports the gradient: how far above or below breakeven you sit, and whether raising your win rate or your reward-to-risk would improve expectancy faster.
It does NOT predict price direction, generate entries, or guarantee outcomes. It visualizes where a trading edge comes from and turns the abstract idea of expectancy into a surface you can navigate.
🎯 Purpose & Design Philosophy
Most traders chase a higher win rate or a bigger reward-to-risk in isolation, without seeing how the two trade off against each other or how close their current numbers actually are to breakeven. The result is effort spent on the slower lever, or false confidence in an edge that is barely positive.
R-Expectancy Surface was built to close that gap. It is designed for the trader who wants to reason about expectancy structurally — to see the whole win-rate-by-reward-to-risk plane at once, locate their setup on it, and understand which adjustment is worth the work. It supports a disciplined, probability-aware mindset over a signal-chasing one.
⚡ Why This Script Is Different
Most expectancy and edge tools collapse everything into one number — a single expectancy figure or a quality score — and stop there.
This script does NOT reduce your edge to one isolated value, and it does NOT pretend to forecast the next trade.
Instead, it draws the complete expectancy surface across every win-rate and reward-to-risk combination, marks exactly where your setup falls, renders the breakeven frontier as the neutral band, and tells you which lever — win rate or payoff R — moves your expectancy toward target the fastest. You navigate a map, not a verdict.
⚙️ Methodology
1. Edge Inputs
Win rate (W) and payoff R are obtained in one of two ways. In Measured mode, W is read from a transparent trigger plus a first-touch proof engine: a proxy entry (price crossing a configurable EMA), a stop at one ATR, and a target at R ATR. Whichever level is reached first resolves the trade as a win or a loss. In Manual mode, you enter the win rate directly. Payoff R is always an input.
2. Surface Grid
Expectancy μ is computed for every cell across the win-rate and reward-to-risk ranges using μ(W, R) = W · R − (1 − W), expressed in R per trade.
3. Breakeven Frontier
The curve W = 1 / (1 + R), where expectancy equals zero, is rendered as the neutral band dividing the winning region from the losing one.
4. Position & Gradient
Your current (W, R) cell is highlighted on the surface. The tool compares the expectancy gained from a realistic win-rate step against the expectancy gained from a realistic payoff-R step to identify the faster lever, and how far that lever must move to reach your target expectancy.
🗺️ How to Read the Chart
• Heat surface — Each cell is a win-rate × reward-to-risk combination, colored by its expectancy: warmer toward winning, cooler toward losing, neutral at breakeven.
• Neutral band — The diagonal neutral-colored band is the breakeven frontier; cells above it are positive expectancy, cells below it are negative.
• ◆ marker — The diamond marks the cell of your current setup on the surface.
• On-chart badge — A floating badge at the last bar shows current expectancy (μ) and Edge Headroom, tier-colored by verdict.
• Win/loss markers — In Measured mode, small markers flag the resolution of each proxy trade.
• Decision panel — The premium panel summarizes every metric and the recommended next action.
🚦 Signals & States
• Above frontier → current expectancy is positive; the edge clears breakeven.
• On frontier → expectancy sits within the breakeven dead-band; no real edge yet.
• Below frontier → expectancy is negative; the setup loses over time at these numbers.
Interpretations are descriptive, not directional. These states describe the mathematics of the edge, not a prediction about the next trade.
🔔 Alerts Logic
• Crossed above breakeven — fires when measured expectancy moves from non-positive to positive across the frontier.
• Crossed below breakeven — fires when measured expectancy moves from positive to non-positive across the frontier.
Alerts are attention markers about the state of the measured edge. They are NOT trade instructions.
🧩 Confluence Logic
The surface reads strongest when several conditions align: the current cell sits clearly above the neutral band, Edge Headroom is high, and the proof engine has collected enough samples for the win rate to be meaningful. When all three align, the edge is both positive and well-supported rather than fragile.
📊 When to Use
• Reviewing and stress-testing the expectancy of a strategy or setup.
• Deciding whether to invest effort in win rate or in reward-to-risk.
• Comparing how the same trigger behaves across instruments and timeframes.
• Teaching or studying the relationship between win rate, payoff, and breakeven.
⚠️ When NOT to Use
• When the proof engine has too few samples — a win rate from a handful of trades is noise, not evidence.
• In thin, illiquid markets where the ATR-based proxy stop and target behave erratically.
• During extreme volatility regimes where realized risk diverges sharply from the ATR unit.
• As a market-timing or entry tool — it measures edge structure, not the next move.
🎛️ Key Inputs
• Win-rate source — Measured (trigger + proof engine) or Manual.
• Payoff R — The reward-to-risk of the trade, and the target multiple in Measured mode.
• Trigger EMA / ATR length / Max bars in trade — Shape and resolve the proxy trades.
• Sensitivity steps — Realistic win-rate and payoff-R increments used to compare levers.
• Target expectancy & Headroom scale — Define the Next-Action target and the 0–100 scale.
• Surface ranges — Win-rate and payoff-R bounds drawn on the grid.
• Panel & visual — Show/hide, position, theme (Dark/Light), font size, on-chart badge.
🖥️ Interface & Visual Design
The interface separates the analytical layers cleanly: a compact decision panel for the numbers and verdict, a colored heat surface for the structural map, and a single floating badge for the at-a-glance read on price. A single merged header, a fixed professional palette, and luminance-aware text keep every element legible on both dark and light charts. Scores are shown numerically, never as bars.
🧪 Practical Usage Workflow
1. Read the panel — note current win rate, payoff R, expectancy, and Edge Headroom.
2. Locate your cell — find the ◆ on the surface relative to the neutral breakeven band.
3. Check the faster lever — see which adjustment moves expectancy toward target fastest.
4. Confirm sample sufficiency — make sure the measured win rate rests on enough trades.
5. Decide — act on the structure of the edge, not on a single number.
🔍 Interpretation Guidelines
Think in terms of distance and direction, not certainty. The further your cell sits above the neutral band, the more room the edge has before adverse variance erodes it. A high win rate with a low payoff and a low win rate with a high payoff can occupy the same expectancy cell — the surface exists precisely to make that trade-off visible. Treat the faster lever as a prioritization hint, not a command.
🚫 What This Script Is NOT
• It is NOT a prediction engine — it does not forecast price or the next trade.
• It is NOT financial advice.
• It is NOT an automated or signal-trading system.
• It does NOT guarantee any win rate, payoff, or outcome.
⚠️ Limitations & Transparency
The measured win rate depends entirely on the built-in proxy trigger, which is a stand-in for your own entries and will differ from them. Expectancy is computed assuming a fixed payoff R and independent trades; real results cluster and your edge drifts over time. Timeframe, volatility, and liquidity all change how the proxy trades resolve. Past win rate is not future win rate.
🧠 Market Context Notes
Expectancy is a property of a process over many trades, not of any single position. Volatility regimes shift the realized risk unit, trends and ranges change how a proxy entry performs, and liquidity affects whether stops and targets fill cleanly. Read the surface as a structural snapshot of the current sample, refreshed as conditions evolve.
🧾 Use Case Examples
• A setup shows a 46% win rate at 2.0R, sitting just above the neutral band with high headroom — the edge is positive and the panel suggests growing it via win rate.
• A setup shows a 33% win rate at 2.0R, landing on the breakeven band — expectancy is essentially zero and the panel flags that no real edge exists until a lever moves.
🧱 System Philosophy
AGPro tools are built to support decisions, not to replace them. R-Expectancy Surface follows that principle: it exposes the full mathematics of an edge transparently, lets you see exactly where your setup stands, and leaves the judgment — and the responsibility — with you.
🔐 Non-Promise Statement
This script makes no promises and offers no certainty. It is a mathematical and visualization tool. Positive expectancy on the surface describes a sample, not a guarantee of future profit.
📉 Risk Disclosure
Trading involves substantial risk of loss and is not suitable for everyone. This script is provided for educational and analytical purposes only and does not constitute financial advice or a recommendation to buy or sell any instrument. All trading decisions, and their consequences, remain entirely your own responsibility.
📚 Educational Note
Use R-Expectancy Surface as a lens for understanding how win rate and reward-to-risk combine into a real edge. The most valuable takeaway is not any single reading, but the intuition it builds for where positive expectancy comes from and how close — or far — a setup truly is from breakeven.
← DARK THEME EXAMPLE (1H, panel + heat surface)
← LIGHT THEME HERO COVER (Daily, clean panel + heat surface)
🧠 Core Idea
How much does your edge improve if your win rate or your reward-to-risk rises — and where on that map does your setup sit right now?
Set the single trade aside. Across the whole landscape of possible win rates and payoffs, where does your edge live, how far is it from the breakeven line, and which lever moves it fastest toward robust positive expectancy?
📌 Overview / What it does
R-Expectancy Surface plots a two-dimensional heat surface of expected R per trade across the full plane of win rate (horizontal axis) and payoff R, the reward-to-risk ratio (vertical axis). Each cell on the grid shows the expectancy that combination of win rate and reward-to-risk produces, tier-colored from losing to winning, so the entire mathematics of your edge becomes a single readable map.
Your current setup — read automatically from a built-in trigger and proof engine, or entered manually — is placed as a marked cell on that surface. The breakeven frontier, the curve where expectancy is exactly zero, emerges naturally as the neutral diagonal band that separates the winning region from the losing one. Beyond a single expectancy number, the tool reports the gradient: how far above or below breakeven you sit, and whether raising your win rate or your reward-to-risk would improve expectancy faster.
It does NOT predict price direction, generate entries, or guarantee outcomes. It visualizes where a trading edge comes from and turns the abstract idea of expectancy into a surface you can navigate.
🎯 Purpose & Design Philosophy
Most traders chase a higher win rate or a bigger reward-to-risk in isolation, without seeing how the two trade off against each other or how close their current numbers actually are to breakeven. The result is effort spent on the slower lever, or false confidence in an edge that is barely positive.
R-Expectancy Surface was built to close that gap. It is designed for the trader who wants to reason about expectancy structurally — to see the whole win-rate-by-reward-to-risk plane at once, locate their setup on it, and understand which adjustment is worth the work. It supports a disciplined, probability-aware mindset over a signal-chasing one.
⚡ Why This Script Is Different
Most expectancy and edge tools collapse everything into one number — a single expectancy figure or a quality score — and stop there.
This script does NOT reduce your edge to one isolated value, and it does NOT pretend to forecast the next trade.
Instead, it draws the complete expectancy surface across every win-rate and reward-to-risk combination, marks exactly where your setup falls, renders the breakeven frontier as the neutral band, and tells you which lever — win rate or payoff R — moves your expectancy toward target the fastest. You navigate a map, not a verdict.
⚙️ Methodology
1. Edge Inputs
Win rate (W) and payoff R are obtained in one of two ways. In Measured mode, W is read from a transparent trigger plus a first-touch proof engine: a proxy entry (price crossing a configurable EMA), a stop at one ATR, and a target at R ATR. Whichever level is reached first resolves the trade as a win or a loss. In Manual mode, you enter the win rate directly. Payoff R is always an input.
2. Surface Grid
Expectancy μ is computed for every cell across the win-rate and reward-to-risk ranges using μ(W, R) = W · R − (1 − W), expressed in R per trade.
3. Breakeven Frontier
The curve W = 1 / (1 + R), where expectancy equals zero, is rendered as the neutral band dividing the winning region from the losing one.
4. Position & Gradient
Your current (W, R) cell is highlighted on the surface. The tool compares the expectancy gained from a realistic win-rate step against the expectancy gained from a realistic payoff-R step to identify the faster lever, and how far that lever must move to reach your target expectancy.
🗺️ How to Read the Chart
• Heat surface — Each cell is a win-rate × reward-to-risk combination, colored by its expectancy: warmer toward winning, cooler toward losing, neutral at breakeven.
• Neutral band — The diagonal neutral-colored band is the breakeven frontier; cells above it are positive expectancy, cells below it are negative.
• ◆ marker — The diamond marks the cell of your current setup on the surface.
• On-chart badge — A floating badge at the last bar shows current expectancy (μ) and Edge Headroom, tier-colored by verdict.
• Win/loss markers — In Measured mode, small markers flag the resolution of each proxy trade.
• Decision panel — The premium panel summarizes every metric and the recommended next action.
🚦 Signals & States
• Above frontier → current expectancy is positive; the edge clears breakeven.
• On frontier → expectancy sits within the breakeven dead-band; no real edge yet.
• Below frontier → expectancy is negative; the setup loses over time at these numbers.
Interpretations are descriptive, not directional. These states describe the mathematics of the edge, not a prediction about the next trade.
🔔 Alerts Logic
• Crossed above breakeven — fires when measured expectancy moves from non-positive to positive across the frontier.
• Crossed below breakeven — fires when measured expectancy moves from positive to non-positive across the frontier.
Alerts are attention markers about the state of the measured edge. They are NOT trade instructions.
🧩 Confluence Logic
The surface reads strongest when several conditions align: the current cell sits clearly above the neutral band, Edge Headroom is high, and the proof engine has collected enough samples for the win rate to be meaningful. When all three align, the edge is both positive and well-supported rather than fragile.
📊 When to Use
• Reviewing and stress-testing the expectancy of a strategy or setup.
• Deciding whether to invest effort in win rate or in reward-to-risk.
• Comparing how the same trigger behaves across instruments and timeframes.
• Teaching or studying the relationship between win rate, payoff, and breakeven.
⚠️ When NOT to Use
• When the proof engine has too few samples — a win rate from a handful of trades is noise, not evidence.
• In thin, illiquid markets where the ATR-based proxy stop and target behave erratically.
• During extreme volatility regimes where realized risk diverges sharply from the ATR unit.
• As a market-timing or entry tool — it measures edge structure, not the next move.
🎛️ Key Inputs
• Win-rate source — Measured (trigger + proof engine) or Manual.
• Payoff R — The reward-to-risk of the trade, and the target multiple in Measured mode.
• Trigger EMA / ATR length / Max bars in trade — Shape and resolve the proxy trades.
• Sensitivity steps — Realistic win-rate and payoff-R increments used to compare levers.
• Target expectancy & Headroom scale — Define the Next-Action target and the 0–100 scale.
• Surface ranges — Win-rate and payoff-R bounds drawn on the grid.
• Panel & visual — Show/hide, position, theme (Dark/Light), font size, on-chart badge.
🖥️ Interface & Visual Design
The interface separates the analytical layers cleanly: a compact decision panel for the numbers and verdict, a colored heat surface for the structural map, and a single floating badge for the at-a-glance read on price. A single merged header, a fixed professional palette, and luminance-aware text keep every element legible on both dark and light charts. Scores are shown numerically, never as bars.
🧪 Practical Usage Workflow
1. Read the panel — note current win rate, payoff R, expectancy, and Edge Headroom.
2. Locate your cell — find the ◆ on the surface relative to the neutral breakeven band.
3. Check the faster lever — see which adjustment moves expectancy toward target fastest.
4. Confirm sample sufficiency — make sure the measured win rate rests on enough trades.
5. Decide — act on the structure of the edge, not on a single number.
🔍 Interpretation Guidelines
Think in terms of distance and direction, not certainty. The further your cell sits above the neutral band, the more room the edge has before adverse variance erodes it. A high win rate with a low payoff and a low win rate with a high payoff can occupy the same expectancy cell — the surface exists precisely to make that trade-off visible. Treat the faster lever as a prioritization hint, not a command.
🚫 What This Script Is NOT
• It is NOT a prediction engine — it does not forecast price or the next trade.
• It is NOT financial advice.
• It is NOT an automated or signal-trading system.
• It does NOT guarantee any win rate, payoff, or outcome.
⚠️ Limitations & Transparency
The measured win rate depends entirely on the built-in proxy trigger, which is a stand-in for your own entries and will differ from them. Expectancy is computed assuming a fixed payoff R and independent trades; real results cluster and your edge drifts over time. Timeframe, volatility, and liquidity all change how the proxy trades resolve. Past win rate is not future win rate.
🧠 Market Context Notes
Expectancy is a property of a process over many trades, not of any single position. Volatility regimes shift the realized risk unit, trends and ranges change how a proxy entry performs, and liquidity affects whether stops and targets fill cleanly. Read the surface as a structural snapshot of the current sample, refreshed as conditions evolve.
🧾 Use Case Examples
• A setup shows a 46% win rate at 2.0R, sitting just above the neutral band with high headroom — the edge is positive and the panel suggests growing it via win rate.
• A setup shows a 33% win rate at 2.0R, landing on the breakeven band — expectancy is essentially zero and the panel flags that no real edge exists until a lever moves.
🧱 System Philosophy
AGPro tools are built to support decisions, not to replace them. R-Expectancy Surface follows that principle: it exposes the full mathematics of an edge transparently, lets you see exactly where your setup stands, and leaves the judgment — and the responsibility — with you.
🔐 Non-Promise Statement
This script makes no promises and offers no certainty. It is a mathematical and visualization tool. Positive expectancy on the surface describes a sample, not a guarantee of future profit.
📉 Risk Disclosure
Trading involves substantial risk of loss and is not suitable for everyone. This script is provided for educational and analytical purposes only and does not constitute financial advice or a recommendation to buy or sell any instrument. All trading decisions, and their consequences, remain entirely your own responsibility.
📚 Educational Note
Use R-Expectancy Surface as a lens for understanding how win rate and reward-to-risk combine into a real edge. The most valuable takeaway is not any single reading, but the intuition it builds for where positive expectancy comes from and how close — or far — a setup truly is from breakeven.
← DARK THEME EXAMPLE (1H, panel + heat surface)
Release Notes
🔧 UPDATE NOTES - V1.0.1This focused update improves proof-sample transparency, alert precision, and interface reliability while preserving the original R-Expectancy Surface concept and visual identity.
The script remains a mathematical expectancy and visualization tool. It does not predict price direction, automate trading, or guarantee outcomes.
------------------------
What Changed
------------------------
• Proof-sample audit
The decision panel now reports resolved wins, resolved losses, and expired observations as a compact W / L / X audit. Expired observations remain excluded from win-rate scoring, as in the original methodology, but are no longer invisible.
• Precise frontier-state alerts
Above-frontier and below-frontier alerts now trigger only when confirmed expectancy enters the corresponding positive or negative state. Entering the neutral dead-band no longer produces a misleading “below” alert.
• Stable first-ready behavior
Alerts initialize from the first sufficiently sampled state without firing a synthetic crossing event at the moment the minimum sample threshold is reached.
• Range-order protection
The heat surface now normalizes inverted user-entered minimum and maximum endpoints before mapping cells and the current setup marker.
• Reliable visual cleanup
The on-chart badge and expectancy surface clear deterministically when their display controls are disabled.
------------------------
Visual Improvements
------------------------
• Preserved the signature win-rate × payoff-R heat surface and current-setup marker
• Preserved the premium AGPro palette, compact outcome markers, and luminance-aware text
• Rebuilt both blue title rows after every table clear, merged them across their full width, and then wrote the title to prevent empty header cells
• Added the Proof Audit row without changing the chart’s core visual story
------------------------
Interface & Usability
------------------------
• Clarified through the Max bars tooltip that expired observations are excluded from win-rate scoring and reported separately
• Made the badge show/hide path remove the prior badge before evaluating the current display setting
• Made the surface show/hide path clear the table before rebuilding visible content
------------------------
Behavior Notes
------------------------
The expectancy equation, EMA trigger, ATR risk unit, first-touch stop/target resolution, payoff-R logic, headroom model, and faster-lever calculation remain unchanged.
The update changes alert-state precision and exposes previously hidden expired observations. It does not retroactively count expired observations as wins or losses.
------------------------
Limitations Reminder
------------------------
The measured win rate belongs to the built-in EMA-cross proxy, not necessarily to a user’s strategy. Expired observations are excluded, and an OHLC bar cannot reveal the intrabar order when stop and target are both touched; the engine retains its conservative stop-first convention in that case.
Results vary with symbol, timeframe, volatility, liquidity, sample size, gaps, costs, and market regime.
------------------------
Risk Reminder
------------------------
This script is for educational and analytical purposes only.
It does not provide financial advice or guaranteed trading outcomes. Users remain responsible for their own assumptions, risk limits, and decisions.
Release Notes
🔧 UPDATE NOTES - V1.0.2• Refreshed the publication and access routing information.
• Core R-expectancy surface logic, panel behavior, inputs, alerts, visuals, and outputs remain unchanged.
Release Notes
🔧 UPDATE NOTES - V1.1.0This update focuses on first-glance clarity, proof visibility, and a more premium expectancy workflow.
The core expectancy calculation remains unchanged.
------------------------
What Changed
------------------------
• Reorganized the decision panel around one practical question: “Where does your win-rate / payoff pair sit?”
• Added a clear Positive Expectancy, Breakeven, or Negative Expectancy verdict.
• Added Expected R per Trade, Required Win Rate, Edge Margin, Edge Headroom, resolved-sample totals, and proof-audit details.
• Added four recent resolved-outcome labels to make the measured sample more visible on the chart.
• Added a live expectancy badge showing the current state, expected R per trade, and margin above or below breakeven.
• Refined target-met messaging so completed expectancy targets now display a clear maintenance instruction.
------------------------
Visual Improvements
------------------------
• Improved label spacing and hierarchy for a cleaner publication image.
• Rebalanced the panel, chart badge, proof outcomes, and expectancy surface for faster interpretation.
• Preserved the AGPro premium color system while reducing visual ambiguity.
------------------------
Behavior Notes
------------------------
The core win-rate, payoff-R, breakeven, expectancy, proof-engine, and heat-surface calculations remain unchanged.
This script remains a rule-based analytical and visualization tool. It does not predict price direction or guarantee trading outcomes.
Release Notes
🔧 UPDATE NOTES - V1.2.0This update focuses on measurement integrity, proof-label readability, and theme-safe panel contrast.
The expectancy surface, breakeven frontier, improvement-lever analysis, heatmap, trigger model, target/stop distances, and alert logic remain unchanged.
This script continues to function as an analytical and visualization tool.
It does not attempt to predict price direction or provide guaranteed outcomes.
------------------------
What Changed
------------------------
• Added explicit same-bar target-and-stop handling
When an OHLC bar touches both levels, the engine no longer applies an unstated ordering assumption.
• Added an Exclude mode as the default same-bar policy
Ambiguous observations are audited separately and excluded from measured win-rate and expectancy scoring.
• Added Stop First and Target First sensitivity modes
These optional modes let users test the effect of either event-order assumption transparently.
• Added an ambiguous-observation count to Proof Audit
The panel now reports wins, losses, ambiguous observations, and expirations separately.
• Refined recent proof-label placement
Win and loss labels now receive independent outcome-aware vertical lanes, reducing overlap when several recent outcomes share the same side of the chart.
• Improved the Light-theme question row
The product-specific panel question now uses a darker indigo tone for stronger contrast without widening the panel.
------------------------
Visual Improvements
------------------------
• Reduced overlap among clustered recent proof outcomes
• Consolidated the final two Next Action lines into one full-width detail row, reducing panel height and lowering overlap risk with the expectancy surface
• Preserved the signature expectancy surface as a separate compact visual
• Retained the existing premium chart hierarchy and restrained evidence trail
• Improved question-row readability across Dark and Light themes
------------------------
Interface & Usability
------------------------
• Added a clear Same-bar target & stop setting under the measured model
• Reduced the decision panel from 15 to 14 rows without removing guidance
• Kept Exclude as the transparent default for unresolved intrabar ordering
• Expanded Proof Audit with a separate A count for ambiguous observations
• Preserved adjustable panel position, theme, panel visibility, font size, badge visibility, and proof-label visibility
------------------------
Behavior Notes
------------------------
The expectancy-surface mathematics and the chart's core analytical purpose are unchanged.
With the default Exclude policy, measured sample totals and derived win rate may differ on symbols or timeframes where target and stop are both touched within the same OHLC bar. This is an intentional transparency improvement, not a predictive change.
Users who want to test an explicit intrabar-order assumption can select Stop First or Target First.
------------------------
Limitations Reminder
------------------------
OHLC bars do not reveal the true order of intrabar events without lower-timeframe or tick-level data.
Measured outcomes remain sensitive to timeframe, volatility, trigger frequency, target/payoff settings, and the available sample size.
The heat surface describes mathematical expectancy combinations; it does not forecast which combination will occur in future trading.
------------------------
Risk Reminder
------------------------
This script is for educational and analytical purposes only.
It does not provide financial advice, automated execution, or guaranteed trading outcomes.
Users remain responsible for their own assumptions, risk controls, and decisions.
Release Notes
Version 1.3.1 – Proof Badge Collision HotfixThis hotfix corrects overlap between nearby proof-outcome badges while preserving the V1.3.0 expectancy model, active verdict presentation, and realtime-safe object lifecycle.
• Replaced ordinal win/loss lane offsets with a final-position collision solver for the latest proof badges.
• Compared each new badge against the actual placed Y-coordinate of every earlier badge with the same outcome direction.
• Enforced directional separation so consecutive win badges step progressively lower and consecutive loss badges step progressively higher.
• Added font-aware minimum spacing for Tiny, Small, Normal, and Large label sizes.
• Kept the spacing ATR-aware so the separation adapts across symbols, prices, and timeframes.
• Preserved the compact single-line proof format and the latest-four-outcomes audit limit.
• Preserved in-place label synchronization and last-bar refresh behavior without restoring delete-and-recreate churn.
• Preserved the measured/manual proof engine, expectancy mathematics, heat surface, active verdict connector, panel, and both confirmed alerts.
The script remains a rule-based probability and risk-management visualization tool. Results depend on the selected trigger model, payoff assumptions, sample depth, timeframe, and market conditions. It does not provide financial advice, automated trading, predictions, or guaranteed outcomes.
Invite-only script
Only users approved by the author can access this script. You'll need to request and get permission to use it. This is typically granted after payment. For more details, follow the author's instructions below or contact AGProLabs directly.
TradingView does NOT recommend paying for or using a script unless you fully trust its author and understand how it works. You may also find free, open-source alternatives in our community scripts.
Author's instructions
Request access to R-Expectancy Surface [AGPro Series]:
https://www.agprolabs.com/product/r-expectancy-surface/
🧠 Trading Suite - Flagship Workflow
tradingview.com/script/XJmX3p98-Trading-Suite-AGPro-Series/
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Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.
Invite-only script
Only users approved by the author can access this script. You'll need to request and get permission to use it. This is typically granted after payment. For more details, follow the author's instructions below or contact AGProLabs directly.
TradingView does NOT recommend paying for or using a script unless you fully trust its author and understand how it works. You may also find free, open-source alternatives in our community scripts.
Author's instructions
Request access to R-Expectancy Surface [AGPro Series]:
https://www.agprolabs.com/product/r-expectancy-surface/
🧠 Trading Suite - Flagship Workflow
tradingview.com/script/XJmX3p98-Trading-Suite-AGPro-Series/
🔷 Crypto Setup Planner - Multi-Symbol Planner
tradingview.com/script/LgVRo7Ql-Crypto-Setup-Planner-AGPro-Series/
tradingview.com/script/XJmX3p98-Trading-Suite-AGPro-Series/
🔷 Crypto Setup Planner - Multi-Symbol Planner
tradingview.com/script/LgVRo7Ql-Crypto-Setup-Planner-AGPro-Series/
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.