Risk & Position-Size Calculator : Futures/Prop | Falcon AIStop blowing accounts to oversized positions. This free tool tells you EXACTLY
how many contracts to trade so a stop-out only costs the dollars you decided to
risk — on any futures symbol (MNQ, MES, NQ, ES, MGC, CL and more). It auto-detects
each contract's point value, so the math is always right.
It shows:
• Position size (contracts) for your account + risk %
• Your real $ risk, $/point, and 2R / 3R targets
• Prop-firm guardrails: how many losing trades until you breach your daily-loss
limit or trailing drawdown
• Prior-day high/low for context
Set your account size, risk %, and stop (manual or ATR-based) — it does the rest.
Built by Falcon AI. Educational tool only — not financial advice. Indicator
Inside Candle with EMA +ST +TP/SL@SaheemolInside Candle Breakout with EMA, SuperTrend & Auto TP/SL
This indicator combines the power of the Inside Candle breakout pattern, EMA trend analysis, and SuperTrend confirmation to identify high-probability breakout opportunities while automatically plotting trade management levels.
Key Features
✅ Detects valid Mother-Daughter (Inside Candle) formations using customizable body-size filters.
✅ Plots EMA 9, EMA 21, and EMA 200 to help visualize market trend and structure.
✅ Uses SuperTrend confirmation to filter false breakouts:
Buy signals only when SuperTrend is bullish.
Sell signals only when SuperTrend is bearish.
✅ Automatically identifies breakout levels from the Mother Candle's high and low.
✅ Draws:
Entry zone
Stop Loss (SL)
Take Profit 1 (TP1)
Take Profit 2 (TP2)
using user-configurable Risk ratios.
✅ Highlights Inside Candle setups and displays visual breakout signals directly on the chart.
✅ Includes alert conditions for automated notifications.
How It Works
The indicator searches for a strong Mother Candle followed by a valid Inside Candle.
The Mother Candle's high and low become the breakout levels.
A trade signal is generated only when price breaks out of the Mother Candle range and the SuperTrend agrees with the direction.
TP1, TP2, and SL levels are automatically calculated based on the Mother Candle range.
Best Use Cases
Intraday trading
Swing trading
Breakout strategies
Trend-following systems
Forex, Stocks, Crypto, and Indices
This indicator is designed to help traders quickly identify consolidation breakouts while maintaining disciplined risk management through predefined entry, target, and stop-loss zones.
Disclaimer: This script is for educational and informational purposes only and does not constitute financial advice. Trading involves risk, and users should perform their own analysis and risk management before making any trading decisions. Indicator
Post-Breakout Risk Ladder [AGPro Series]Post-Breakout Risk Ladder
🧠 Core Idea
After a breakout happens, is the move still offering clean target room or is pullback risk taking control?
📌 Overview / What it does
Post-Breakout Risk Ladder maps a breakout base, locks the breakout edge, and converts the post-breakout move into a structured R-based risk ladder.
The script displays a breakout base, pullback risk shelf, entry rail, invalidation rail, 1R / 2R / 3R target rails, target defense labels, pullback test labels, and a compact AG Pro dashboard.
It does not predict that a breakout will continue. It helps organize what happens after a breakout: current R, pullback risk, target room, invalidation, and action state.
🎯 Purpose & Design Philosophy
Many breakout tools focus only on the breakout candle.
This script was built for the part that comes next: the risk management phase after the breakout is already visible.
It helps traders read whether the breakout is still structured, whether the pullback is healthy, whether the next target has room, and whether the breakout context has failed.
⚡ Why This Script Is Different
Most breakout indicators highlight the break itself.
This script does NOT treat the breakout as the end of the analysis.
Instead, it builds a post-breakout planning map with a base, entry reference, invalidation shelf, R ladder, pullback risk score, target room, and target defense context.
⚙️ Methodology
1. Breakout Base Detection
The script defines a recent base using completed bars and checks whether price closes beyond the base edge with enough displacement quality.
2. Breakout Lock
When the breakout qualifies, the script locks the base high/low, breakout edge, entry reference, and invalidation edge.
3. Risk Ladder Mapping
Risk is standardized into R units from the breakout entry to invalidation. Target rails are projected as 1R, 2R, and 3R references.
4. Pullback and Defense Evaluation
The script tracks pullback tests into the breakout shelf, current R, target room, and target defense behavior.
🗺️ How to Read the Chart
The breakout base shows the structure that price broke from.
The pullback shelf marks the zone where a retest may remain constructive or become risky.
The entry rail and invalidation rail define the R unit.
The 1R, 2R, and 3R rails show post-breakout target references.
Labels highlight breakout locks, pullback tests, target defense, and invalidation.
The panel summarizes:
• Breakout state
• Current R
• Pullback risk
• Target room
• Action state
🚦 Signals & States
• Bull Breakout → price closed above the breakout base with acceptable quality
• Bear Breakout → price closed below the breakout base with acceptable quality
• Pullback Test → price is testing the post-breakout shelf
• Target Defense → price has reached or interacted with an R target rail
• Invalidated → price lost the active breakout structure
• Expired → the breakout ladder is too old to remain active
🔔 Alerts Logic
Alerts can trigger when a breakout ladder is locked, when the breakout context is READY, when price tests the pullback shelf, when the ladder invalidates, or when target defense appears.
Alerts are attention markers only. They are not trade instructions.
🧩 Confluence Logic
The breakout context becomes stronger when base quality, breakout body strength, relative volume, pullback shelf behavior, and target room align.
The R ladder helps separate structured continuation from late or overextended movement.
📊 When to Use
• After clear range breaks
• During breakout retests
• In trending markets with continuation attempts
• When evaluating post-breakout risk-to-room structure
• On liquid symbols with readable candles and volume
⚠️ When NOT to Use
• Very low-liquidity markets
• Extremely noisy sideways ranges
• Random spike candles without structure
• News candles with unstable spreads
• When no meaningful base exists before the breakout
🎛️ Key Inputs
• Base Lookback Bars → controls how the breakout base is detected
• Break Buffer ATR → controls how far beyond the base price must close
• Minimum Break Body Ratio → filters weak wick-only breaks
• Minimum Relative Volume → filters low-participation breaks
• Retest Shelf ATR → controls the pullback shelf around the broken edge
• Invalidation Buffer ATR → controls where the ladder fails
• Target R Settings → control the 1R / 2R / 3R ladder rails
🖥️ Interface & Visual Design
The visual hierarchy is designed around post-breakout planning.
The base defines context, the shelf defines pullback risk, the rails define R structure, and the panel provides a quick state read.
The goal is to keep the chart useful, structured, and premium without turning it into a cluttered signal board.
🧪 Practical Usage Workflow
1. Check whether a breakout ladder is active
2. Read current R in the panel
3. Inspect the pullback shelf
4. Compare target room with pullback risk
5. Watch invalidation and target defense labels
🔍 Interpretation Guidelines
A READY state means the breakout ladder has enough structure to monitor.
Current R helps measure how far price has moved from the breakout reference.
Pullback risk helps evaluate whether price is still respecting the breakout shelf.
Target room helps avoid treating late moves the same as early moves.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not a guaranteed breakout system.
It is not an automated trading tool.
It does not provide financial advice.
It does not guarantee continuation, reversal, targets, or profit.
⚠️ Limitations & Transparency
Breakout quality depends on market structure, volatility, liquidity, and timeframe.
Some breakouts may fail quickly.
Some slow breakouts may not trigger if candle quality or volume is too weak.
R levels are planning references, not guaranteed destinations.
🧠 Market Context Notes
Breakouts are often strongest when structure, participation, and follow-through align.
A breakout with clean target room and controlled pullback risk is different from a late breakout already pressing into extension.
Use the ladder as context, not certainty.
🧾 Use Case Examples
When price breaks above a recent base, the script locks the breakout edge and projects 1R / 2R / 3R references.
If price later pulls back into the shelf, the script marks pullback risk so the user can evaluate whether the structure remains intact.
If price reaches a target rail, target defense labels help identify where the move may need confirmation.
🧱 System Philosophy
AGPro Series tools are built as decision-support engines.
The purpose is to organize market behavior into structure, score, state, and risk context rather than providing blind buy or sell calls.
🔐 Non-Promise Statement
No breakout is certain.
No target rail is guaranteed.
No script can remove risk.
📉 Risk Disclosure
Trading involves risk.
Users are responsible for their own analysis, decisions, risk management, and execution.
This script is for educational and analytical purposes only and does not provide financial advice.
📚 Educational Note
Use this tool to study how breakout bases, retests, invalidation, current R, and target room interact across different markets and timeframes.
Indicator
Invalidation Quality Planner [AGPro Series]Invalidation Quality Planner
🧠 Core Idea
Is the active invalidation shelf meaningful enough to build a plan around, or is it fragile, distant, weak, or already violated?
📌 Overview / What it does
Invalidation Quality Planner is a chart-first risk planning tool designed to evaluate the quality of the level that would invalidate a setup idea.
Instead of drawing generic support/resistance zones or printing buy/sell signals, the script studies one active invalidation shelf and converts its structure into a 0-100 quality score. It measures swing clarity, defended reactions, prior violations, wick pressure, volatility buffer, forward room, and violation risk.
The output is a focused planning workflow: an invalidation shelf zone, shelf and violation guides, forward-room reference, compact event labels, alerts, and a clean AGPro decision panel. It does not predict future price movement, automate decisions, or guarantee that any shelf will hold.
🎯 Purpose & Design Philosophy
This script was built for traders who want to judge whether their risk reference is structurally meaningful before relying on it.
Many tools show entries, targets, support/resistance zones, or stop distances. This tool focuses on the deeper planning question: is the invalidation level itself strong enough to deserve trust?
The design supports a disciplined setup-review mindset. It helps users separate a clean invalidation shelf from a weak, noisy, overextended, or already violated one.
⚡ Why This Script Is Different
Most tools focus on signals, stop-loss placement, support/resistance mapping, or risk/reward drawings.
This script does NOT become a generic S/R zone map, a stop-loss optimizer, a position-size calculator, a target ladder, or an entry signal tool.
Instead, it evaluates the quality of the invalidation reference. The core output is not a trade command. It is a planning state that helps users decide whether the current shelf is VALID, on WATCH, FRAGILE, DISTANT, DEFENDED, WEAK, or VIOLATED.
⚙️ Methodology
1. Context Detection
The script detects the active planning side using trend context and range location, or allows the user to force long-context or short-context evaluation.
2. Reference Mapping
It maps the active invalidation shelf from confirmed swing pivots, with a fallback structure reference when no fresh pivot is available.
3. Reaction Evaluation
The model scores swing clarity, defended shelf reactions, clean history, wick pressure, ATR-normalized shelf distance, volatility context, violation risk, and forward room.
4. Visual Output
The output is shown through an invalidation shelf zone, violation guide, forward-room guide, compact labels, deterministic alerts, and a premium AGPro panel.
🗺️ How to Read the Chart
Zones = the active invalidation shelf used by the planner. It is a risk reference, not a generic support/resistance zone.
Labels = compact state markers showing VALID, WATCH, DEFENDED, FRAGILE, DISTANT, WEAK, or VIOLATED context.
Colors = teal marks cleaner planning context, pink marks violation or weak context, amber marks caution, and indigo marks watch/transition context.
Panel = the panel summarizes Invalidation Quality, Distance, Structure Support, Violation Risk, and Action.
🚦 Signals & States
• VALID → the active invalidation shelf has enough structure and quality to deserve review.
• WATCH → the shelf is improving but not clean enough for VALID state.
• DEFENDED → price tested the shelf and closed back in favor of the active planning side.
• FRAGILE → price is too close to the shelf, making normal noise more important.
• DISTANT → the shelf is too far from price for clean planning context.
• WEAK → the shelf lacks enough structure, reaction memory, or clean history.
• VIOLATED → price crossed the active violation guide and the context should be rebuilt.
🔔 Alerts Logic
Alerts trigger when the planner enters VALID state, enters WATCH state, detects a defended shelf reaction, marks a weak/fragile/distant shelf, or detects a shelf violation.
These alerts are attention markers. They are not trade instructions, entry signals, exit commands, or automated strategy actions.
🧩 Confluence Logic
The strongest invalidation context appears when swing clarity, defended reactions, clean violation history, controlled wick pressure, balanced ATR distance, and sufficient forward room align.
When those factors align, the quality score rises and the panel can move from WATCH to VALID. If the shelf becomes too close, too distant, noisy, or violated, the state downgrades.
📊 When to Use
• Before evaluating a discretionary setup
• During pullbacks where a structural invalidation shelf is forming
• Around continuation setups where risk needs a clean reference
• Before breakout or reclaim attempts where the failure point matters
• When comparing whether one setup has a cleaner invalidation reference than another
⚠️ When NOT to Use
• Extremely low-liquidity symbols
• Very noisy micro-timeframes with unstable wicks
• News-driven volatility spikes
• Markets where recent structure is distorted and no useful invalidation shelf exists
• Situations where the user expects a signal-only entry tool
🎛️ Key Inputs
• Planning Side → controls Auto, Long Context, or Short Context evaluation.
• Shelf Pivot Left / Right → controls how strict the confirmed swing shelf detection is.
• Shelf Fallback Lookback → defines the backup structure reference when no fresh pivot exists.
• Reaction Memory Lookback → controls how far back defended reactions and violations are counted.
• Shelf Zone Buffer ATR → controls the width of the invalidation shelf zone.
• Violation Buffer ATR → controls when price is treated as crossing beyond the shelf.
• VALID / WATCH Thresholds → adjust how selective the planner is.
• Visual settings → control shelf zones, guide lines, memory zones, labels, panel location, theme, and font sizes.
🖥️ Interface & Visual Design
The interface is built around one primary chart object: the invalidation shelf zone.
The panel follows the AGPro public-release standard with one merged blue header row containing only the script name. The layout keeps the key planning information readable without turning the script into a dashboard-heavy overlay.
Labels are compact, offset away from candles, and controlled with cooldown and maximum-visible settings.
🧪 Practical Usage Workflow
1. Read the panel Invalidation Quality and Action state.
2. Check whether price is respecting, approaching, or violating the shelf zone.
3. Review the Distance row to see whether the shelf is balanced, fragile, or distant.
4. Compare Structure Support with Violation Risk.
5. Treat alerts as review prompts and confirm the broader market context before making any decision.
🔍 Interpretation Guidelines
A higher score means the planner sees stronger alignment between shelf structure, reaction memory, clean history, distance quality, violation risk, and forward room.
VALID does not mean a trade must be taken. It means the invalidation shelf is meaningful enough to deserve attention.
WATCH means the shelf may be developing but still needs stronger evidence.
FRAGILE, DISTANT, WEAK, and VIOLATED are caution states that help users avoid building a plan around a poor invalidation reference.
🚫 What This Script Is NOT
• Not a prediction engine
• Not financial advice
• Not auto trading
• Not guaranteed signals
• Not a generic support/resistance mapper
• Not a stop-loss optimizer
• Not a position sizing calculator
• Not a take-profit planner
⚠️ Limitations & Transparency
Pivot-based shelves are confirmed after the selected pivot strength completes, so the script is intentionally reactive rather than predictive.
Different timeframes can create different shelf references, reaction counts, and violation-risk readings.
Volatility changes can alter ATR-normalized distance, shelf width, and forward-room conditions.
The script is rule-based and should be interpreted as an analytical planning layer, not as certainty.
🧠 Market Context Notes
Invalidation quality is not only about distance. A shelf can be close but meaningful, distant but inefficient, or visually obvious but already weakened by violations.
The planner is most useful when it helps the user ask better questions before trusting a setup idea.
🧾 Use Case Examples
When price pulls back toward a clean swing shelf, defends it, and still has enough forward room, the planner may show DEFENDED or VALID context.
When price is sitting directly on the shelf with heavy wick pressure, the planner may mark FRAGILE even if the level looks visually interesting.
When price crosses beyond the violation guide, the planner marks VIOLATED so the old risk reference is not treated as still clean.
🧱 System Philosophy
Invalidation Quality Planner follows the AGPro Series decision-engine approach:
Context first.
Risk reference before target.
Structure before signal.
Attention markers instead of promises.
🔐 Non-Promise Statement
No indicator can remove uncertainty.
No state, score, label, alert, or visual zone should be interpreted as guaranteed market direction.
📉 Risk Disclosure
Trading involves risk.
All decisions remain the responsibility of the user.
This script is for educational and analytical chart review only and does not provide financial advice.
📚 Educational Note
Use the tool to study how invalidation references form, defend, weaken, or fail across different market conditions.
Indicator
Stop Distance Quality [AGPro Series]Stop Distance Quality
🧠 Core Idea
Is the invalidation distance structurally reasonable, or is it too tight, too wide, or too exposed to noise?
📌 Overview / What it does
Stop Distance Quality is a chart-first risk planning tool built to evaluate stop-distance quality before a setup is treated as clean.
The script studies the active invalidation rail, ATR-normalized stop distance, swing structure fit, wick risk, volatility context, and available target room. It converts those components into a 0-100 risk-quality score and a clear next-action state.
It produces a stop-fit band, an invalidation rail, an ideal-fit guide, compact chart labels, alerts, and a clean AGPro planning panel. It does not select the best stop method, size positions, predict price direction, or automate trade decisions.
🎯 Purpose & Design Philosophy
This script was built to fill a specific planning gap: many tools show where a stop could be placed, but fewer tools ask whether that stop distance is structurally usable.
It helps traders who already have a setup idea and want to evaluate whether the invalidation distance is balanced enough to keep watching.
The design supports disciplined planning: measure the risk first, then decide whether the setup deserves attention.
⚡ Why This Script Is Different
Most tools focus on plotting stop-loss levels, comparing stop-loss methods, or attaching stops to entry signals.
This script does NOT act as a stop-loss optimizer, position-size calculator, target ladder, or directional signal tool.
Instead, it answers one practical planning question: is the current stop distance too tight, too wide, or reasonably aligned with structure and volatility?
⚙️ Methodology
1. Context Detection
The script selects long or short evaluation context using either manual side selection or automatic trend and range-location reading.
2. Reference Mapping
It maps one active swing-based invalidation rail and builds a stop-fit band using minimum, ideal, and maximum ATR-normalized distance boundaries.
3. Reaction Evaluation
It scores stop distance, swing structure fit, wick risk, volatility context, and target room.
4. Visual Output
It displays the stop-fit band, invalidation rail, ideal-fit guide, chart labels, alerts, and AGPro panel state.
🗺️ How to Read the Chart
Zones = the stop-fit band shows the acceptable ATR-normalized area where the active invalidation distance is considered more balanced.
Labels = labels mark FIT, WATCH, TOO TIGHT, TOO WIDE, NO ROOM, or invalidation-check contexts.
Colors = AGPro green highlights balanced fit, pink highlights wide-risk pressure, amber highlights caution, and indigo highlights active watch context.
Panel = the panel summarizes Stop Distance, ATR Context, Structure Fit, Risk Quality, and Action.
🚦 Signals & States
• FIT → stop distance is structurally reasonable enough for active review.
• WATCH → risk quality is improving but not strong enough for FIT.
• TOO TIGHT → invalidation distance is too close relative to ATR and may be vulnerable to normal noise.
• TOO WIDE → invalidation distance is too large relative to the current chart context.
• NO ROOM → target room is not clean enough for the current risk distance.
• WEAK FIT → the current context does not meet the minimum quality threshold.
🔔 Alerts Logic
Alerts trigger when the script enters FIT, WATCH, TOO TIGHT, TOO WIDE, or NO ROOM state.
An additional alert can trigger when price crosses the prior invalidation rail.
Alerts are attention markers only. They are not trade instructions.
🧩 Confluence Logic
The strongest context appears when stop distance sits near the ideal ATR band, swing structure is clear, wick noise is controlled, volatility is readable, and target room remains open.
When several of these conditions align, the risk-quality score improves.
📊 When to Use
• Before evaluating a risk-defined setup
• During pullbacks where invalidation placement matters
• Around breakout retests where stops can be too tight or too wide
• In structured trending or range-extension environments
⚠️ When NOT to Use
• Very low-liquidity symbols with erratic wicks
• Extremely noisy markets where ATR changes too quickly
• News-driven candles or abnormal event spikes
• Charts where no clear swing invalidation exists
🎛️ Key Inputs
• Evaluation Side → controls Auto, Long Context, or Short Context scoring.
• ATR Length → normalizes stop distance, wick risk, target room, and visual offsets.
• Invalidation Lookback → controls the swing rail used as the active invalidation reference.
• Minimum / Ideal / Maximum Stop ATR → define the stop-fit band.
• FIT / WATCH Thresholds → control how selective the planner is.
• Visual settings → control band visibility, guide lines, labels, panel location, theme, and font sizes.
🖥️ Interface & Visual Design
The interface is intentionally narrow and readable.
The chart focuses on one main visual object: the stop-fit band. The panel uses a single merged AGPro header row and keeps the essential risk-quality information visible without turning the script into a dashboard-heavy tool.
Labels are compact, offset from candles, and controlled with cooldown and maximum-visible settings.
🧪 Practical Usage Workflow
1. Read the panel risk-quality state.
2. Check whether the invalidation rail sits inside, below, or beyond the stop-fit band.
3. Review whether the label says FIT, WATCH, TOO TIGHT, TOO WIDE, or NO ROOM.
4. Confirm structure and volatility context before treating the setup as meaningful.
🔍 Interpretation Guidelines
Think of the output as a risk-quality filter, not a trade signal.
A FIT state means the distance is more balanced relative to ATR and structure. It does not mean price must move favorably.
A TOO TIGHT or TOO WIDE state means the risk reference may need more context, more buffer, or a cleaner setup.
🚫 What This Script Is NOT
• Not a prediction engine
• Not financial advice
• Not auto trading
• Not guaranteed signals
• Not a stop-loss optimizer
• Not a position-sizing calculator
⚠️ Limitations & Transparency
Stop-distance quality can change as volatility expands or contracts.
Different timeframes may produce different invalidation rails and ATR readings.
Fast markets, low liquidity, and abnormal wick behavior can reduce the usefulness of any rule-based distance model.
🧠 Market Context Notes
Risk quality is not only about where a stop sits. It also depends on whether volatility is readable, whether the swing reference is meaningful, and whether there is enough room before nearby obstruction.
This script keeps those factors visible without adding unrelated signal logic.
🧾 Use Case Examples
When price pulls back in a trend and the invalidation rail sits inside the stop-fit band, the setup can move into review mode.
When the stop distance is below the minimum ATR boundary, the script may mark TOO TIGHT and suggest waiting for more buffer.
When stop distance is large but target room is limited, the script may mark NO ROOM or TOO WIDE.
🧱 System Philosophy
Stop Distance Quality belongs to the AGPro planner-style family: tools that help traders evaluate context before decisions, rather than simply printing another signal.
🔐 Non-Promise Statement
No output from this script guarantees a result.
No score represents certainty.
📉 Risk Disclosure
Trading involves risk.
Users are responsible for their own decisions, position sizing, and risk management.
This script is for educational and analytical purposes only and does not provide financial advice.
📚 Educational Note
The goal is to make risk distance easier to inspect and compare across changing volatility conditions.
Indicator
Entry Execution Readiness [AGPro Series]Entry Execution Readiness
🧠 Core Idea
Is this setup ready for execution attention now, or should it remain on watch?
📌 Overview / What it does
Entry Execution Readiness is a chart-first decision engine built to evaluate whether an active setup has enough structure, risk quality, and target room to deserve execution attention.
The script produces a 0-100 Readiness Score, a clear entry state, an entry pocket, an invalidation rail, a target-room band, premium state labels, and a compact AGPro panel. It is designed to organize setup quality, not to predict price or automate execution.
It does not publish buy or sell commands. It does not replace a trader's own execution model. Its purpose is to turn observable setup conditions into a cleaner readiness map.
🎯 Purpose & Design Philosophy
This script was built for traders who already see a potential setup but need a disciplined way to decide whether the setup is clean enough to keep under execution review.
The gap it fills is practical: many tools identify signals, levels, or zones, but they do not answer whether the setup has acceptable risk distance, enough target room, suitable volatility, and directional confirmation at the same time.
The design philosophy is simple: execution should be reviewed through readiness, not excitement.
⚡ Why This Script Is Different
Most tools focus on printing a signal or highlighting a level.
This script does NOT act as a full Position Planner, position sizing model, signal service, or trade automation system.
Instead, it evaluates execution readiness through a compact decision layer: trend alignment, candle efficiency, distance to invalidation, target-room quality, and volatility fit are compressed into one transparent score and one clear next-action state.
⚙️ Methodology
1. Context Detection
The script detects the active setup side automatically, or lets the user force a long-bias or short-bias readiness view.
2. Reference Mapping
It maps an entry pocket around the active trend reference, builds an invalidation rail from recent structure, and projects target room from nearby structure or ATR-adjusted continuation space.
3. Reaction Evaluation
It scores trend alignment, candle efficiency, risk distance, reward room, and volatility fit from 0 to 100.
4. Visual Output
The chart displays the readiness state through zones, labels, alerts, and a premium AGPro panel with the key decision fields.
🗺️ How to Read the Chart
Zones = the active entry pocket and target-room band.
Invalidation rail = the structural level that would weaken or reset the current setup context.
Labels = the current readiness state, score tier, and risk context.
Colors = teal for stronger long-readiness contexts, pink for bearish or invalidation contexts, amber for waiting states, and indigo for monitoring/transition states.
Panel = the fastest summary of score, state, risk distance, target room, and next action.
🚦 Signals & States
• READY → the setup meets the score threshold and confirmation filter.
• MONITOR → the setup is improving but still needs cleaner confirmation or score strength.
• WAIT → the setup exists, but risk, target room, or confirmation is not yet strong enough.
• BLOCKED → the current context does not offer a clean execution-readiness profile.
• INVALIDATED → price closed beyond the active invalidation rail.
🔔 Alerts Logic
READY alerts trigger when the state upgrades into READY.
Downgrade alerts trigger when the active setup weakens from a stronger state.
Invalidation alerts trigger when price closes beyond the current invalidation rail.
Confirmation alerts trigger when score and confirmation improve together near the READY threshold.
Alerts are attention markers. They are not trade instructions.
🧩 Confluence Logic
The setup becomes stronger when directional trend alignment, candle quality, controlled invalidation distance, acceptable volatility, and clean target room improve at the same time.
The score is intentionally multi-factor so a single strong candle or a single clean level cannot dominate the full readiness view.
📊 When to Use
• Trend continuation setups
• Pullback-to-reference execution reviews
• Breakout continuation contexts with enough target room
• Active trade-planning workflows where the trader already has a directional thesis
• Intraday or swing charts where risk and target room need to be evaluated quickly
• 4-hour swing/execution review charts where the active pocket, invalidation rail, and target room can be read without excessive label compression
⚠️ When NOT to Use
• Very low liquidity markets
• Extremely noisy sideways conditions
• News-driven volatility spikes
• Charts where the user has no independent setup thesis
• Markets with poor execution conditions, wide spreads, or unreliable fills
🎛️ Key Inputs
• Setup Direction → Auto, Long Bias, or Short Bias readiness mode.
• Sensitivity → controls how selective the model is.
• Structure Lookback → affects structure, risk rail, target room, and volatility context.
• Minimum READY Score → defines the threshold required for READY state.
• Confirmation Mode → controls how much candle and trend confirmation is required.
• Label Cooldown / Max Visible Labels → controls label density.
• Panel Location / Panel Theme / Font Sizes → controls visual presentation.
🖥️ Interface & Visual Design
The interface is built around a clean premium overlay.
The panel uses the AGPro standard single merged blue header row and summarizes only the most decision-relevant fields.
The chart visuals are deliberately limited to the current entry pocket, invalidation rail, target room, and moderate state labels so the script remains readable in publication screenshots.
🧪 Practical Usage Workflow
1. Read the panel state and Readiness Score.
2. Check whether price is interacting cleanly with the entry pocket.
3. Review the invalidation rail and risk distance.
4. Compare the target-room band against the current risk.
5. Treat READY as a review state, not as an automatic execution command.
🔍 Interpretation Guidelines
Think of the output as a readiness filter.
A high score means the modeled conditions are aligned more cleanly than usual. It does not mean the setup will work.
A WAIT or MONITOR state can still be useful because it shows what part of the setup is not yet ready.
An INVALIDATED state means the current setup context should be reset or reviewed again from a fresh structure.
🚫 What This Script Is NOT
• Not a prediction engine
• Not financial advice
• Not auto trading
• Not guaranteed signals
• Not a full position-sizing planner
• Not a buy/sell command system
⚠️ Limitations & Transparency
Timeframe differences can change how structure, volatility, and target room appear.
Volatility expansion or contraction can make the readiness state change quickly.
Market conditions can shift faster than any rule-based chart tool can summarize.
The model is transparent and deterministic, but it cannot know future price behavior.
🧠 Market Context Notes
Entry readiness is most useful when it is read together with liquidity, structure, session context, and broader volatility conditions.
The script is strongest when the trader already has a setup thesis and needs a cleaner way to review whether execution conditions are improving or weakening.
🧾 Use Case Examples
When price pulls back toward the entry pocket, trend alignment remains intact, risk distance stays controlled, and target room remains clean, the setup may upgrade into MONITOR or READY.
When price stretches too far from the pocket or target room becomes too thin relative to invalidation distance, the score can weaken even if direction still looks attractive.
When price closes beyond the invalidation rail, the active setup context is marked as INVALIDATED.
🧱 System Philosophy
AGPro tools are designed to support structured chart reading, decision clarity, and rule-based interpretation.
This script follows that philosophy by focusing on execution readiness instead of generic signals.
🔐 Non-Promise Statement
No script can provide certainty.
No score can guarantee a future outcome.
This tool organizes visible chart conditions so the user can make a more structured review.
📉 Risk Disclosure
Trading involves risk. Market movement can be unpredictable, and any setup can fail.
Users are responsible for their own analysis, execution, risk management, and decisions.
This script does not provide financial advice, investment advice, or guaranteed trading outcomes.
📚 Educational Note
Use the script as a structured decision-support layer. The strongest benefit comes from reviewing why the state is READY, WAIT, MONITOR, BLOCKED, or INVALIDATED rather than treating any single label as a standalone answer.
Indicator
Risk Reward Visualizer [AGPro Series]Risk Reward Visualizer
🔹 Overview
Risk Reward Visualizer is a professional trade-planning indicator that transforms every setup into a clean visual framework: entry, stop-loss, and up to three take-profit targets displayed as long rectangular R-multiple zones. Beyond basic visualization, it adds three features rarely found together in one tool — a breakeven probability calculator, live MFE/MAE excursion tracking, and an automatic trail-to-breakeven workflow.
The indicator is built for traders who think in R-multiples: swing traders, prop-firm candidates, day traders, and anyone who wants to answer the question "does this setup actually make mathematical sense?" before committing capital.
🔹 What Makes It Different
Most risk/reward scripts stop at drawing levels and a position-size table. This one goes further:
• Breakeven Probability Math — For every R target, the panel displays the minimum win rate required to break even, adjusted for round-trip fees. A 3R target needs only 25% wins; a 1R target needs 50%. Seeing this side-by-side reframes how you evaluate setups.
• Live MFE / MAE Tracking — Maximum Favorable Excursion and Maximum Adverse Excursion are tracked in real time from the moment the setup becomes valid. Labels mark the exact bar of each peak in R-multiples, with leader lines connecting the label to the wick, so you can grade trade quality after the fact.
• Trail-to-Breakeven Visualization — When TP1 is hit, the original stop fades and a new breakeven line is drawn at entry, making the risk management discipline visible on the chart.
• Hybrid Auto-Detect — Leave Entry and Stop at zero and the script fills them using the current close and the most recent swing pivot plus an ATR buffer. Provide one manually and the other auto-completes. Everything can be overridden.
🔹 Methodology
Levels are calculated from the standard R-multiple framework:
• Risk per unit = |Entry − Stop|
• Take-profit N = Entry ± (N × Risk per unit), signed by trade direction
• Breakeven win rate = (1 + fees_R) / (1 + R target)
Direction is auto-inferred from the relationship between Entry and Stop (Long when Stop is below Entry, Short otherwise), and can be forced. Auto-detect uses a pivot lookback to locate the most recent swing high or low, then offsets the stop by a user-defined ATR multiple to reduce wick-out risk.
MFE and MAE reset whenever Entry or Stop changes, so editing inputs restarts tracking cleanly. Hit detection uses bar high or low against each level and fires alerts only on the rising edge of each event.
🔹 Visuals & Signals
• Risk zone rendered as a pink rectangle between Entry and Stop
• TP1, TP2 and TP3 zones rendered as stacked teal rectangles with graded opacity
• Entry line in indigo, stop in pink, take-profits in teal
• Labels anchor to the right edge of the zone so they never hide candles
• MFE label on the favorable excursion peak, MAE on the adverse peak, each offset 1.5 ATR with a dotted leader line
• Alerts: TP1 hit, TP2 hit, TP3 hit, Stop Loss hit, Breakeven reached
🔹 Key Inputs
• Setup Mode — Manual, Auto-Detect, or Hybrid
• Trade Side — Auto, Long, or Short
• Entry and Stop — leave at zero to auto-detect
• Swing Lookback and ATR Buffer — for auto-detected stops
• TP1, TP2, TP3 multipliers with individual show/hide toggles
• Trail Stop to Breakeven After TP1 — toggle
• Round-Trip Fees (%) — folded into breakeven math
• Enable Position Size Calculator — optional; account size and risk percentage
• Panel location, panel font size, label font size, zone length, zone transparency
🔹 How To Use
Step 1 — Add the script to any symbol and timeframe. By default, Hybrid mode uses the current close as entry and the most recent swing plus an ATR buffer as stop.
Step 2 — Override Entry or Stop with your planned levels if you have a specific setup in mind.
Step 3 — Check the Breakeven Analysis section of the panel. Confirm the minimum win rate required for your chosen R target is realistic for your strategy.
Step 4 — Set alerts for the targets you want to be notified on. If Trail-to-Breakeven is enabled, you will also receive a notification when TP1 hits so you can move your stop in your broker.
Step 5 — After the trade, review MFE and MAE to grade execution. Did price reach favorable excursion that you missed? Did it dip deep into risk before resolving?
🔹 Limitations & Transparency
• This is a planning and visualization tool. It does not place orders and does not produce buy or sell signals.
• The breakeven calculation treats fees as a percentage of entry price converted into R-units. It is a useful approximation, not a tax or slippage model.
• Auto-detected stops depend on recent swing structure. On very low-liquidity symbols or during strong trends without pullbacks, recent swings may be stale. Verify visually before using.
• MFE and MAE tracking uses bar high or low and resets when inputs change.
• Position sizing assumes a linear contract value and does not account for margin, leverage, or instrument-specific tick rules. Always cross-check with your broker.
🔹 Risk Disclosure
Trading carries risk of loss. This indicator is provided for educational and analytical purposes only and is not financial advice. Past behavior of any tool does not guarantee future performance. Use proper position sizing and never risk more than you can afford to lose. Indicator
Smart Candle Structures [TechnicalZen]No lines. No noise. Just candles that already know.
That said, four configurable themes let us get more details.
That's what this does. Nine independent analytical systems — volume flow, momentum, Wyckoff structure, wave dynamics, adaptive trend quality, machine learning, multi-factor confluence — all running simultaneously, all measuring different properties of the same price action. Their combined verdict doesn't appear as a label you have to find, or a line you have to interpret, or a panel you have to read. It appears as the color of the candle itself .
Cyan — everything agrees. Go.
Maroon — everything agrees the other way. Go.
Yellow — nothing agrees. Wait.
Green and red — the shades between conviction and indecision, the gradients of "almost" and "not yet."
One glance. No scanning. No mental math. No overlapping spaghetti lines fighting for your attention.
The gradient is continuous — colors flow from one candle to the next because conviction doesn't snap between states. When you see candles drifting from cyan through green toward yellow, you're watching three independent systems lose agreement in real time. When they shift from red through yellow and lock into green, something just aligned. You didn't need an alert. You saw it happen.
Add it to your chart. Hide the default candles. That's it. The candles are the indicator.
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Builds on Price Action Scan: Pulse, Rhythm & Drift — the full TrueMove Council engine, all nine schools, the dual VWAP structure, the MFE accuracy tracker, the dashboard — everything unchanged and fully intact. What's new is the presentation : the three directional systems that already existed are now synthesized into a continuous color gradient painted directly onto the candle. Same engine. Zero clutter.
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The Three Layers
Each candle's color is determined by the combined state of three directional systems. Each system contributes a continuous score — not a binary vote, but a float between -1.0 and +1.0 — that reflects both direction and conviction strength.
Impulse — The fast heartbeat. Eight analytical schools (OBV Flow, RSI Zones, Wyckoff, Amplitude, VWMA Delta, Kalman Filter, Naive Bayes, Confluence) vote on direction. When two or more agree, a signal fires. The impulse layer starts strong and fades over time — its contribution to candle color decays smoothly across the cooldown window, reflecting the natural erosion of a signal's relevance as bars pass.
Regime — The structural tide. An adaptive trend engine (Adaptive Pivots) tracks regime shifts independently. Its contribution to color is weighted by Trend Quality — a composite of directional efficiency, volume regime, structural position, and momentum persistence. A high-quality trend paints with full conviction. A degraded trend barely registers. The color reflects what matters: not just the direction, but how trustworthy that direction is.
Trend — The deep current. An exponentially weighted VWAP (EVWAP) marks the slow structural direction. Its color contribution scales with how far price has drifted from EVWAP — close to the line means weak conviction, far away means the trend has legs. Direction without separation is noise. This layer only colors strongly when price and trend genuinely agree.
These three scores are summed and normalized to produce a single continuous value. That value maps smoothly across a five-stop color gradient — from deep maroon through red, yellow, and green to bright cyan — using smooth interpolation, not discrete steps. Adjacent candles will always be close in hue because the underlying scores change gradually. The result is a visual rhythm you can read at a glance.
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Reading the Candles
Each candle communicates three things simultaneously through a single visual:
1. Hue — the alignment gradient
Cyan — Full Align ↑ — all three layers agree bullish with conviction
Green — Bull Bias — most layers lean bullish, minor disagreement
Yellow — Indecisive — layers are fighting, or conviction is low across the board
Red — Bear Bias — most layers lean bearish, minor disagreement
Maroon — Full Align ↓ — all three layers agree bearish with conviction
2. Shade — bar direction
Bright shade — the bar closed above its open (bullish bar)
Dark shade — the bar closed below its open (bearish bar)
This creates visual texture within the same color zone. In a green region, the bright bars pop and the dark bars recede — you can see the intra-trend pullbacks without losing the dominant directional context.
3. Fill — hollow candle logic
Hollow (transparent body, colored border) — close ≥ open. Standard TradingView hollow candle behavior.
Filled (solid colored body) — close < open.
Three layers of information in a single candle. No overlays needed.
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Why Continuous, Not Discrete
The gradient is continuous because markets don't snap between states — they transition. A fading impulse signal doesn't suddenly become irrelevant after N bars. Trend quality doesn't instantly collapse. Price doesn't teleport from one side of EVWAP to the other.
Each layer's score reflects this reality:
Impulse decays — starts at full strength on the signal bar and fades linearly toward zero over the cooldown period. Yesterday's signal doesn't color today's candle the same way.
Regime scales with quality — a high-TQI trend contributes a strong score; a deteriorating trend contributes a muted one. The direction might be the same, but the color tells you the conviction has changed.
Trend scales with distance — price sitting on top of EVWAP means low confidence in trend direction. Price a full ATR away means the trend is expressing itself. The further the separation, the stronger the color contribution, saturating at 1.5 ATR.
The result is that color transitions happen gradually and meaningfully. When you see candles shifting from green toward yellow, something is actually changing in the underlying systems — you're not watching a threshold artifact.
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Display Themes — One Indicator, Four Workflows
Most indicators give you one look. Take it or leave it. If you want less clutter, you untick boxes until things disappear and hope you didn't break a dependency. If you want more detail, you stack another indicator on top.
Smart Candle Structures doesn't work that way. Four curated theme presets give you fundamentally different chart experiences — each designed as a complete visual workflow, not a random subset of features:
Smart Candles — Gradient candles only. Nothing else on the chart. No lines, no boxes, no labels, no markers. Just color flowing through price. This is the purest read — for traders who've internalized the system and only need the candle to tell them where they stand. Minimalists and tape readers will live here.
Smart Candles + RR Boxes — Adds risk/reward zones on council signals and regime flips. Blue SL boxes, white TP boxes with dotted outlines on council signals. Adaptive Pivots draws its own TP/SL in distinctive light-yellow dotted outlines — you'll never confuse which system generated a box. Signal labels show vote counts so you know how many schools agreed. This is the default — the sweet spot between information density and visual clarity.
Smart Candles + Lines — Adds the structural framework: POC (anchored VWAP with upper/lower deviation bands), EVWAP line with direction-change triangles, Adaptive Pivots trend line, and volume climax circles. No RR boxes. This is the analytical mode — for understanding why the candles are the color they are.
Smart Candles + RR Boxes + Lines — Everything visible. The full picture: gradient candles, risk zones, structural lines, volume markers, regime labels. For deep analysis sessions, replay, or when you're actively developing your read on a new instrument.
Switch themes with a single dropdown. No need to re-configure nine different toggles when you want a different view — just pick the workflow and go.
And then fine-tune within each theme. Nine individual toggles give you granular control within whatever theme you've selected: signal labels, council SL box, council TP box, S9 SL box, S9 TP boxes, S9 regime labels, POC lines, EVWAP line, and volume extreme markers. The theme sets the broad strokes; the toggles handle the details. Want RR boxes but no signal labels? Done. Want lines but no climax circles? Done. Every combination works. Nothing breaks.
Ten configurable gradient colors — bright and dark shades for each of the five color stops — let you match the candles to any chart theme. Dark background, light background, custom palette — dial in the exact hues that make the gradient legible on your screen. The defaults are tuned for dark-themed charts (cyan through maroon), but every stop is an input you can change.
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The Engine Underneath
The candle coloring runs on top of the full TrueMove Council architecture — unchanged and fully intact from Price Action Scan: Pulse, Rhythm & Drift . Everything that made the original work is still here:
Eight Council Schools
OBV Flow — volume flow divergence and acceleration
RSI Zones — smoothed RSI oversold reclaim / overbought reject with signal-line confirmation
Wyckoff — effort vs result on pullback, spring/upthrust trap events
Amplitude Strength — seven-factor wave dynamics scoring (speed, time, volume, structure)
VWMA Delta — volume-weighted momentum zero-cross
Kalman Filter (LQE) — dual adaptive Kalman crossover
Naive Bayes (Adaptive) — six-feature machine learning classifier that learns from your instrument
Confluence — ten-factor weighted alignment with HTF bias and EMA cross trigger
School 9: Adaptive Pivots
An adaptive SuperTrend with TQI-modulated bands, character-flip detection, local pivot SL placement, and its own independent MFE accuracy tracker. Operates outside the council — its own signals, its own boxes, its own hit rate.
Dual VWAP Structure
POC (anchored VWAP) — re-anchors on volume climax events. Three dashed lines: center, upper band, lower band. Closest-to-price line highlighted. Signal failure detection (invalidation after 3 bars on wrong side).
EVWAP — re-anchors on swing direction changes. Exponentially weighted, volume-capped. Direction triangles at segment starts.
MFE Accuracy Tracking
Every signal is evaluated using Maximum Favorable Excursion over a 12-bar window. If price reaches 0.5 ATR in the signal direction at any point during those 12 bars, it counts as a hit. Per-school and council-level hit rates are displayed in the dashboard. School 9 has its own independent tracker.
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The Dashboard
The SCS Report panel displays:
Signal status — current council state: Active (↑/↓), Diverged (schools voting opposite directions), or Invalidated (signal failed POC test)
Candle alignment — current layer readings (I↑ R↑ T↑), composite score, alignment label (Full Align ↑, Bull Bias, Indecisive, Bear Bias, Full Align ↓), bar direction (▲/▼), and hollow/filled state (○/●)
School votes — all eight schools sorted by recency, showing vote direction and running hit rate. Active voters are highlighted in bull/bear color.
Adaptive Pivots — independent yellow-highlighted row with its own vote and hit rate
Council result — overall accuracy, signal counts (evaluated vs fired), Naive Bayes learning status, and current volume z-score
Theme — current display preset
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How to Use It
Step 1: Hide default candles. Go to Chart Settings → Symbol and set body, border, and wick colors to transparent. The smart candles will paint on their own. This is not optional for a clean read — if both candle sets render, you'll see doubled outlines.
Step 2: Switch to Volume Candles. In Chart Settings → Symbol → Chart style, select Volume Candles. This varies bar width by volume — high-participation bars are wider, low-participation bars are thinner. Combined with the alignment gradient, you get two layers of information per bar: color tells you structural alignment, width tells you participation. A wide cyan candle is a crowd moving in full agreement. A thin yellow candle is nobody caring during indecision. This pairing gives the richest read of any candle configuration.
Step 3: Start with the default theme (Smart Candles + RR Boxes). Watch the color flow for a while. You'll start seeing patterns: how candles shift from cyan through green as impulse decays, how they snap to red when regime flips, how yellow chop zones precede breakouts.
Step 4: Read the transitions, not the individual candles. A single cyan candle in a sea of yellow means nothing. A gradual shift from yellow through green to cyan over ten bars means three systems are lining up. That's the edge — not any single bar, but the directional consensus building or collapsing across time.
Step 5: Check the dashboard. The alignment row tells you exactly what's contributing. If you see I↑ R↓ T↑, you know impulse and trend agree but regime is fighting them. The score tells you how close to consensus you actually are.
Step 6: Switch to + Lines when you need context. The POC and EVWAP lines show you the structural framework the candle colors are derived from. Sometimes you need to see why trend flipped — the EVWAP direction change marker will show you exactly where.
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Key Settings
Display
Theme — Smart Candles / + RR Boxes / + Lines / + RR Boxes + Lines
Dashboard Position — configurable or hidden
Visual Toggles — individual on/off for signal labels, council SL/TP, S9 SL/TP, S9 labels, POC, EVWAP, climax markers
Smart Candle Colors
Ten configurable colors: bright and dark shade for each of the five gradient stops (Cyan, Green, Yellow, Red, Maroon). Customize to match your chart theme.
Council
Council Behavior — "2+ Agree" (consensus) or "All Signals" (any school)
Signal Cooldown — minimum bars between same-direction signals (default 30)
Schools
All nine schools can be toggled individually
NB Min Samples — minimum resolved outcomes before Naive Bayes votes
Confluence Min Score — weighted threshold for the confluence school
Confluence HTF Bias — higher timeframe for trend alignment (non-repainting)
Adaptive Pivots (S9)
ATR Length, Base Width, Efficiency Window, Quality Influence, Quality Curve Power
Character Flip toggle and minimum age
SL Buffer and Pivot Length for stop placement
VWAP Display
POC and EVWAP smoothing (Raw or Hull), Hull length, POC band width
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What's Different from Price Action Scan
Price Action Scan shows you the three layers as separate visual elements — labels, lines, boxes — and lets you interpret their alignment yourself.
Smart Candle Structures does the synthesis for you. It reads the alignment state of all three layers and paints it directly onto the candle. The analytical engine is identical. The presentation is fundamentally different.
Price Action Scan is for traders who want to see every component. Smart Candle Structures is for traders who want to see the answer.
They share the same codebase. Use whichever presentation matches how your eyes work.
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Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice, and it does not constitute a recommendation to buy, sell, or hold any financial instrument.
All trading involves risk. Past performance of any signal, voting system, or analytical method does not guarantee future results. The council votes, hit rates, accuracy statistics, and candle gradient colors displayed represent computational assessments based on the indicator's rules applied to historical data loaded in TradingView. They are not predictions and should not be treated as certainties.
The Naive Bayes School learns from the chart data currently loaded. Its learned patterns may not generalize to future market conditions, different instruments, or different timeframes. The hit rates displayed in the dashboard reflect performance on the loaded chart history only and are subject to survivorship bias, lookback bias, and data limitations inherent to backtesting on historical bars.
Candle colors represent a real-time composite of three directional systems. A "Full Align" candle does not guarantee the move will continue. An "Indecisive" candle does not guarantee a reversal. The gradient is a lens for reading structure, not a prediction of outcome.
Traders should always use independent risk management, position sizing, and their own judgment before entering any trade. By using this indicator, you acknowledge that you are solely responsible for your own trading decisions and that the authors accept no liability for any losses incurred.
Indicator
Indicator
AG Pro Position Planner [AGPro Series]AG Pro Position Planner
OVERVIEW
AG Pro Position Planner is a structured trade-planning and risk-organization tool designed for traders who want to map a position before execution. It focuses on four core elements of trade preparation: entry location, stop placement, target mapping, and position sizing. Instead of trying to predict direction or generate automated entries, the script helps organize a plan around levels that the user defines manually.
The purpose of this tool is not to tell the user what to buy or sell. Its purpose is to turn a discretionary plan into a visible, measurable framework on the chart. By combining entry, stop, risk budget, capital usage, and target structure in one view, the script helps reduce planning ambiguity and makes the trade idea easier to review before any order is placed.
The script supports both long and short planning. It can also operate in two different target modes. In R-Based mode, targets are derived from the distance between entry and stop. In Manual mode, the user can input exact target prices directly and the script will convert those targets into their implied R-multiples. This allows the same tool to support both systematic planning and discretionary scenario mapping without changing the underlying workflow.
The visual design is intentionally restrained. The chart shows entry, stop, and target levels, along with optional reward and risk zones. A compact panel summarizes the key planning information, including direction, mode, risk per unit, risk budget, sizing, exposure, and target statistics. The result is a planning layout that remains readable on both light and dark themes while keeping the focus on structure rather than decoration.
WHAT THIS SCRIPT DOES
This script helps the user:
• define a planned entry price
• define a planned stop price
• convert account risk into a position size estimate
• map one to three targets on the chart
• compare manual targets to the initial risk distance
• review exposure before execution
• validate whether a manual target structure is logically ordered
• visualize the reward zone above entry and the risk zone below entry for long scenarios, or the inverse logic for short scenarios
The script is designed as a planning layer. It does not attempt to replace the user’s analysis process. It assumes the user already has a trade idea and needs a cleaner way to structure and review that idea.
UNIQUE EDGE
The distinguishing feature of this script is not signal generation. Its edge is organizational clarity.
Many tools focus on entries, signals, or directional interpretation. This one focuses on plan construction. The user chooses the key prices, and the script translates them into a coherent risk model. That distinction matters. The script does not present itself as a forecasting engine, a market-timing system, or an automated decision model. It is a position-planning framework.
A second differentiator is the dual target workflow. Some users think in fixed R-multiples. Others think in exact price objectives. AG Pro Position Planner supports both approaches in the same interface. In Manual mode, the script still reports the effective R-value of each target, which helps the user compare discretionary targets against the initial stop distance without losing consistency.
A third differentiator is the built-in validation behavior. The script checks whether the trade structure is logically valid for the chosen direction. In Manual mode, it also checks whether the targets are placed in the correct direction and in the correct order. This helps the user detect plan errors before execution rather than after the fact.
METHODOLOGY
The planning model is straightforward by design.
1) Entry and stop define the base risk distance.
The script measures the absolute distance between entry and stop. That distance becomes the reference risk per unit.
2) Account risk defines the risk budget.
The user enters an account size and a percentage risk per trade. The script converts this into a monetary risk budget.
3) Position size is estimated from the risk budget.
The script divides the risk budget by effective risk per unit and rounds the resulting quantity down to the selected quantity step.
4) Optional fee adjustment can be included.
An estimated fee percentage can be added to the per-unit risk as a conservative sizing buffer.
5) Targets are then mapped in one of two ways.
In R-Based mode, each target is calculated from the entry-to-stop distance using the selected R-multipliers.
In Manual mode, the user provides exact target prices and the script calculates the implied R-value of each target relative to the original stop distance.
6) Exposure statistics are summarized in the panel.
The panel shows stop distance, capital usage, risk budget, and sizing information so the trade can be evaluated as a complete plan rather than as isolated levels.
This methodology is intentionally transparent. The script is not using hidden directional filters, prediction logic, or undisclosed entry models. The calculations are derived from the user’s own inputs.
TARGET MODES
R-Based Mode
R-Based mode is intended for users who want a consistent structure around initial risk. The user defines entry and stop, then sets target multipliers such as 1R, 2R, or 3R. The script projects those levels automatically from the base risk distance. This is useful when the user wants standardized scenario planning and fast comparison between multiple setups.
Manual Mode
Manual mode is intended for users who work with exact price objectives. In this mode, the user enters target prices directly. The script then converts those levels into implied R-values. This allows discretionary targets to be measured against the same initial risk model.
To reduce planning mistakes, the script validates whether manual targets are placed in the correct direction and in the correct order for the chosen trade direction. Invalid target structures are flagged in the panel instead of being silently accepted.
PANEL AND VISUAL STRUCTURE
The chart can display:
• entry line
• stop line
• target lines
• reward zone
• risk zone
• right-side labels for entry, stop, and targets
• a compact summary panel
The panel is designed to keep the most useful information visible without taking over the chart. Its goal is to support review, not to dominate the screen.
The compact panel includes:
• plan summary
• validation badge
• entry and stop
• risk per unit
• risk budget
• sizing
• exposure
• target statistics
This structure is meant to help the user answer practical questions quickly:
How much is being risked?
How large is the position?
How much capital is being used?
How far is the stop?
What does each target represent in both price and R terms?
KEY INPUTS
Trade Setup
• Trade Direction
• Target Mode
• Entry Price
• Stop Price
• R-based targets
• Manual targets
Risk Model
• Account Size
• Risk Per Trade (%)
• Estimated Fees (%)
• Quantity Step
Visual Settings
• Panel visibility
• Panel position
• Panel theme
• Panel text size
• Level label size
• Label offset
• Risk/reward zone visibility
• Zone transparency
• Individual target visibility
These inputs are separated by function so the planning workflow stays readable and predictable.
VALIDATION AND SAFETY LOGIC
The script validates several conditions before presenting a plan as valid.
For direction:
• Long plans require stop below entry
• Short plans require stop above entry
For base structure:
• Entry must be positive
• Stop must be positive
• Account size must be positive
• Risk percentage must be positive
• Quantity step must be positive
• Entry and stop must not be identical
For manual targets:
• Targets must be in the correct direction relative to entry
• Targets must be logically ordered for the selected direction
If the structure is invalid, the panel reflects that status instead of presenting the setup as a clean plan. This behavior is intentional. The script is designed to help organize decisions, but also to prevent simple construction errors from being overlooked.
WHO THIS SCRIPT IS FOR
This script is intended for users who already make their own directional decisions and want a cleaner way to structure position plans on the chart.
It may be useful for:
• discretionary traders
• swing traders
• intraday traders
• users who plan entries and stops manually
• users who prefer fixed-R target mapping
• users who want manual targets translated into risk terms
• users who want better visual discipline before execution
It is less relevant for users who are looking for:
• automated entries
• hidden directional logic
• predictive signals
• scanner behavior
• portfolio automation
• strategy backtests
SIGNALS AND ALERTS
This script does not generate buy signals or sell signals.
This script does not publish automated trade calls.
This script does not attempt to identify market direction.
This script does not include alert logic for execution decisions.
Its purpose is planning, visualization, and risk organization.
LIMITATIONS AND TRANSPARENCY
This script is a planning tool, not an execution engine.
It does not know whether the selected entry will be filled.
It does not know whether slippage will occur.
It does not know whether the market will reach the defined targets.
It does not account for instrument-specific margin rules, liquidation mechanics, funding costs, or exchange-specific order behavior unless the user adjusts inputs manually.
The sizing output is an estimate based on the values entered into the script. Real-world execution may differ due to slippage, fees, order type, spread, partial fills, and instrument-specific trading conditions.
In Manual mode, the script evaluates the price structure entered by the user, but it does not claim that those targets are likely to be reached. It only expresses them relative to the initial risk distance.
The chart zones are visual planning aids. They are not probability forecasts and should not be interpreted as predictive boundaries.
WHAT THIS SCRIPT IS NOT
This script is not:
• a strategy tester
• a signal service
• an automated trade system
• a forecasting model
• a promise of profitability
• a replacement for independent analysis
• a substitute for execution judgment
• a guarantee of risk control in live market conditions
It is a structured chart tool for planning and reviewing position scenarios.
RISK DISCLOSURE
Trading and investing involve risk. Any planned setup can fail, and losses can exceed expectations due to slippage, volatility, or execution conditions. This script is provided as an organizational and visualization tool only. Users remain fully responsible for their own analysis, trade selection, order placement, and risk management decisions.
No indicator can remove market risk. A visually clean plan is still only a plan. Position sizing, stop placement, and target mapping should always be reviewed in the context of the instrument, timeframe, liquidity conditions, and the user’s own trading process.
FINAL NOTE
AG Pro Position Planner is built around a simple idea: a trade plan should be measurable before it is actionable. By turning entry, stop, risk budget, sizing, and targets into a single visible structure, the script aims to make discretionary planning more disciplined, more transparent, and easier to review.
The script does not attempt to decide for the user. It helps the user define the plan clearly enough to evaluate it. Indicator
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Market Structure Based Stop LossMarket Structure Based Dynamic Stop Loss
Introduction
The Market Structure Based Stop Loss indicator is a strategic tool for traders designed to be useful in both rigorous backtesting and live testing, by providing an objective, “guess-free” stop loss level. This indicator dynamically plots suggested stop loss levels based on market structure, and the concepts of “interim lows/highs.”
It provides a robust framework for managing risk in both long and short positions. By leveraging historical price movements and real time market dynamics, this indicator helps traders identify quantitatively consistent risk levels while optimizing trade returns.
Legend
This indicator utilizes various inputs to customize its functionality, including "Stop Loss Sensitivity" and "Wick Depth," which dictate how closely the stop loss levels hug the price's highs and lows. The stop loss levels are plotted as lines on the trading chart, providing clear visual cues for position management. As seen in the chart below, this indicator dynamically plots stop loss levels for both long and short positions at every point in time.
A “Stop Loss Table” is also included, in order to enhance precision trading and increase backtesting accuracy. It is customizable in both size and positioning.
Case Study
Methodology
The methodology behind this indicator focuses on the precision placement of stop losses using market structure as a guide. It calculates stop losses by identifying the "lowest close" and the corresponding "lowest low" for long setups, and inversely for short setups. By adjusting the sensitivity settings, traders can tweak the indicator's responsiveness to price changes, ensuring that the stop losses are set with a balance between tight risk control and enough room to avoid premature exits due to market noise. The indicator's ability to adapt to different trading styles and time frames makes it an essential tool for traders aiming for efficiency and effectiveness in their risk management strategies.
An important point to make is the fact that the stop loss levels are always placed within the wicks. This is important to avoid what can be described as a “floating stop loss”. A stop loss placed outside of a wick is susceptible to an outsized degree of slippage. This is because traders always cluster their stop losses at high/low wicks, and a stop loss placed outside of this level will inevitably be caught in a low liquidity cascade or “wash-out.” When price approaches a cluster of stop losses, it is highly probable that you will be stopped out anyway, so it is prudent to attempt to be the trader who gets stopped out first in order to avoid high slippage, and losses above what you originally intended.
// For long positions: stop-loss is slightly inside the lowest wick
float dynamic_SL_Long = lowestClose - (lowestClose - lowestLow) * (1 - WickDepth)
// For short positions: stop-loss is slightly inside the highest wick
float dynamic_SL_Short = highestClose + (highestHigh - highestClose) * (1 - WickDepth)
The percentage depth of the wick in which the stop loss is placed is customisable with the “Wick Depth” variable, in order to customize stop loss strategies around the liquidity of the market a trader is executing their orders in.
Indicator
Risk Reward Optimiser [ChartPrime]█ CONCEPTS
In modern day strategy optimization there are few options when it comes to optimizing a risk reward ratio. Users frequently need to experiment and go through countless permutations in order to tweak, adjust and find optimal in their data.
Therefore we have created the Risk Reward Optimizer.
The Risk Reward Optimizer is a technical tool designed to provide traders with comprehensive insights into their trading strategies.
It offers a range of features and functionalities aimed at enhancing traders' decision-making process.
With a focus on comprehensive data, it is there to help traders quickly and efficiently locate Risk Reward optimums for inbuilt of custom strategies.
█ Internal and external Signals:
The script can optimize risk to reward ratio for any type of signals
You can utilize the following :
🔸Internal signals ➞ We have included a number of common indicators into the optimizer such as:
▫️ Aroon
▫️ AO (Awesome Oscillator)
▫️ RSI (Relative Strength Index)
▫️ MACD (Moving Average Convergence Divergence)
▫️ SuperTrend
▫️ Stochastic RSI
▫️ Stochastic
▫️ Moving averages
All these indicators have 3 conditions to generate signals :
Crossover
High Than
Less Than
🔸External signal
▫️ by incorporating your own indicators into the analysis. This flexibility enables you to tailor your strategy to your preferences.
◽️ How to link your signal with the optimizer:
In order to be able to analysis your signal we need to read it and to do so we would need to PLOT your signal with a defined value
plot( YOUR LONG Condition ? 100 : 0 , display = display.data_window)
█ Customizable Risk to Reward Ratios:
This tool allows you to test seven different customizable risk to reward ratios , helping you determine the most suitable risk-reward balance for your trading strategy. This data-driven approach takes the guesswork out of setting stop-loss and take-profit levels.
█ Comprehensive Data Analysis:
The tool provides a table displaying key metrics, including:
Total trades
Wins
Losses
Profit factor
Win rate
Profit and loss (PNL)
This data is essential for refining your trading strategy.
🔸 It includes a tooltip for each risk to reward ratio which gives data for the:
Most Profitable Trade USD value
Most Profitable Trade % value
Most Profitable Trade Bar Index
Most Profitable Trade Time (When it occurred)
Position and size is adjustable
█ Visual insights with histograms:
Visualize your trading performance with histograms displaying each risk to reward ratio trade space, showing total trades, wins, losses, and the ratio of profitable trades.
This visual representation helps you understand the strengths and weaknesses of your strategy.
It offers tooltips for each RR ratio with the average win and loss percentages for further analysis.
█ Dynamic Highlighting:
A drop-down menu allows you to highlight the maximum values of critical metrics such as:
Profit factor
Win rate
PNL
for quick identification of successful setups.
█ Stop Loss Flexibility:
You can adjust stop-loss levels using three different calculation methods:
ATR
Pivot
VWAP
This allows you to align risk-reward ratios with your preferred risk tolerance.
█ Chart Integration:
Visualize your trades directly on your price chart, with each trade displayed in a distinct color for easy tracking.
When your take-profit (TP) level is reached , the tool labels the corresponding risk-reward ratio for that specific TP, simplifying trade management.
█ Detailed Tooltips:
Tooltips provide deeper insights into your trading performance. They include information about the most profitable trade, such as the time it occurred, the bar index, and the percentage gain. Histogram tooltips also offer average win and loss percentages for further analysis.
█ Settings:
█ Code:
In summary, the Risk Reward Optimizer is a data-driven tool that offers traders the ability to optimize their risk-reward ratios, refine their strategies, and gain a deeper understanding of their trading performance. Whether you're a day trader, swing trader, or investor, this tool can help you make informed decisions and improve your trading outcomes. Indicator
Risk Reward Calculator [lovealgotrading]
OVERVIEW:
This Risk Reward Calculator strategy can help you maximize your RR value with help of algorithmic trading.
INDICATOR:
I wanted to setup my trades more easier with this indicator, I didn't want to calculate everytime before orders, with help this indicator we can calculate R:R value, avarage price, stoploss price, take-profit price, order prices, all position cost and more ...
Our strategy is a risk revard calculation indicator that is made easy to use by using visualized lines and panels, and also has algorithmic trading support.
With the help of this indicator, we can quickly and easily calculate our risk reward values and enter the positions.
If we want to ensure that our balance grows regularly while trading in the stock market, we need to manage the risks and rewards otherwise we may fall below our initial balance at the end of the day, even if we seem to be winning.
What is the Risk-Reward value ?
This value is a value that shows how many times the amount of risk we take when entering the position is successful, we will earn.
- For example, you risked $100 while entering the trade, so if your trade stops, you will lose 100 $.
Your Risk-Reward(RR) value is 2 means that if your position is successful, you will have 200 $ in your pocket.
A trader's success is determined by the amount of R he earns monthly or yearly, not how much money he makes.
What is different in this indicator ?
I want to say thank you to © EvoCrypto. His Calculator (weighted) – evo indicator helped me when I was developed my indicator.
I want to explain what I have improved:
1-In this strategy, we can determine the time period in which we want to open our positions.
2-We can open a maximum of 4 positions in the same direction and close our positions at a single level. StopLoss or TakeProfit
3-This indicator, which works in the form of a strategy, shows where our positions have been opened or closed. With the help of this, it helps us to determine our strategy in our future positions more accurately.
4-The most important improvement is that we do not miss our positions with the help of alarms (WEB HOOK). if we want, we receive by quickly connecting all these positions to our robot, the software can enter and exit the position while we are busy.
IMPLEMENTATION DETAILS – SETTINGS:
1 - We can set the start and end dates of the positions we will take.
2- We can set our take profit, stoploss levels.
3- If your trade is stopped, we can determine the amount of the trade that we will lose.
4- We can adjust our entry levels to positions and our position sizes at entry levels.
(Sum of positions weight must be 100%)
5- We can receive our positions even if we are busy with the help of algorithmic trading. For this, we must paste our Jshon codes into the fields specified in the settings panel.
6- Finally, we can change the settings we want and don't want to have in our visual elements.
Let's make a LONG side example together
We have determined our positions to enter stoploss, take profit and long positions. We did not forget to set the start time of our strategy
Our strategy appear on the graph as follows.
Our strategy has calculated the total position size, our R-R value, the distance of the current price to the stop and take profit levels, in short, a lot of things we could look visually.
Notes:
If you're going to connect this bot to an automatic Long or Short direction,
Don’t forget! you need to Webhook URL,
Don’t miss paste this code to your message window {{strategy.order.alert_message}}
ALSO:
If you have any ideas what to add to my work to add more sources or make calculations cooler, feel free to write me.
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