ATR, DTR and Stop LossATR, DTR and Stop Loss
Compact TradingView overlay table for daily ATR, daily trading range, and ATR-based stop-loss reference levels.
Features
Shows ATR / DTR with DTR as a percent of ATR.
Shows ATR-based stop-loss guidance using 0.25 ATR and 0.5 ATR.
Optional display modes:
ATR distance values only
Stop prices using close - 0.25 ATR and close - 0.5 ATR
Stop prices with ATR distance values in parentheses
Default table position is bottom-left.
Includes an extra blank spacer row so the table is less likely to be hidden by TradingView UI icons.
Uses muted, non-invasive table colors.
Settings
Table Position: Choose where the table appears.
Text Size: Tiny, Small, Normal, or Large. Default is Normal.
ATR Length: Daily ATR period. Default is 14.
Stop Loss Format: Choose ATR values, stop prices, or stop prices plus ATR values. Default is Stop Prices.
Show $ Prefix: Toggle dollar-style formatting on/off.
Indicator
Trend Strength DashboardTrend Strength Dashboard
A compact, configurable on-chart table that reads trend strength and directional bias across up to six timeframes at once. Pick the TFs that matter to you, ignore the rest, and see at a glance whether your intraday entries align with higher-TF momentum.
How it works
1. For each enabled row, the indicator computes a trend-strength score and a directional bias (DI+ / DI-) on the chosen timeframe.
2. The score is classified into a tier: No Trend / Weak / Strong / Very Strong.
3. The table renders one row per enabled TF with the TF label, raw score, tier, and direction (Bull / Bear). Each cell is color-coded by tier and direction.
4. Rows set to "NA" are hidden and the table collapses upward — you can shrink the dashboard down to a single TF if that's all you want.
Timeframes
Six independent dropdowns — "Row 1 TF" through "Row 6 TF" — let you pick the TF for each row. Options are: NA, M1, M3, M5, M15, M30, H1, H2, H4, D.
Defaults:
- Row 1: M1
- Row 2: M3
- Row 3: M5
- Row 4: M15
- Row 5: H1
- Row 6: H4
Set any row to "NA" to hide it. Alerts treat NA rows as neutral so the "all aligned" checks still work across whichever subset you've enabled.
Strength classification
The score is bucketed into four tiers with configurable thresholds:
- "No Trend" — below the Weak threshold (default 20)
- "Weak" — at or above Weak (20) but below Strong
- "Strong" — at or above Strong (default 25) but below Very Strong
- "Very Strong" — at or above Very Strong (default 40)
Each tier has its own color (gray / orange / green / lime by default) — easy to recolor in the Colors group.
Direction
The Direction column reads Bull / Bear from the directional engine on that TF. The cell is tinted teal for Bull and red for Bear. Toggle the whole column off via "Show direction column" if you only care about strength.
Inputs at a glance
- Engine — Trend length (default 14), Direction length (default 14).
- Thresholds — Weak / Strong / Very Strong cutoffs.
- Display — Table position, table size (default "tiny"), direction column toggle.
- Timeframes — Row 1–6 TF dropdowns (with NA option).
- Colors — Header / row backgrounds, tier colors, bull / bear colors.
Alerts
Three named alertcondition entries (use the standard alert dialog):
- All TFs Strong — every enabled row is at or above the Strong threshold.
- All TFs Bullish — All TFs Strong AND every enabled row has DI+ over DI-.
- All TFs Bearish — All TFs Strong AND every enabled row has DI- over DI+.
NA rows are skipped in these checks so the alerts adapt to whichever subset of TFs you have enabled.
Recommended use
- Markets: forex, gold, indices, BTC — any liquid intraday instrument.
- Chart timeframes: works on any TF. Defaults are tuned for M1–M5 execution with H1 / H4 context, but you can rebuild the dashboard for any setup (e.g. swing: M30 / H1 / H4 / D, or single-TF: just M5).
- Pair with: HTF / LTF MSS Sync ICT for entry signals, or HTF + LTF Market Structure ICT for structure context.
Disclaimer
For educational and analytical purposes only. Not financial advice and not a guarantee of profitability. The dashboard is a context tool — combine it with your own structure, signals, and risk management before acting on it.
Indicator
Indicator
VIX Dispersion ThrasherVIX Dispersion Signal
Identifies conditions that historically precede large volatility spikes, based on the methodology published by Andrew Thrasher CMT in Forecasting a Volatility Tsunami (Journal of Technical Analysis, Q4 2017).
Core concept
Rather than treating a low VIX as a sell signal, Thrasher found that the strongest warning comes from measuring the dispersion of the VIX itself — its 20-day standard deviation. When the VIX stops moving and trades in an unusually narrow range, volatility is coiling. The same logic applied to the VVIX (the volatility of the VIX) improves timing further. When both compress simultaneously, the historical record shows a clear edge: nearly every combined signal was followed by a 30%+ VIX spike within 15 trading days, with an average maximum move of +27.5%.
Signal states
🟢 Risk On — both readings above threshold, normal conditions
🟡 Caution — VIX dispersion compressed (≤ 0.86), tighten stops
🟡 Warning — VVIX dispersion compressed (≤ 3.16), reduce exposure
🔴 Tsunami Alert — both thresholds breached simultaneously, raise cash
🔴 Compound Danger — Tsunami Alert firing while VIX is also sub-15, highest historical risk
What's plotted
The script plots the two StdDev lines against their threshold levels, with a scaled VIX level in the background for low-VIX context.
All thresholds are adjustable. Thrasher's original values (VIX SD ≤ 0.86, VVIX SD ≤ 3.16) represent the 15th percentile of each series from 2006–2016. A de-clustering filter suppresses repeat signals within a configurable lookback window.
Usage
Add script to any SPX, SPY, or equity index chart on the daily timeframe. Data is sourced directly from CBOE:VIX, CBOE:VVIX, and CBOE:VIX3M via request.security regardless of chart symbol. Five alert conditions are included: combined signal, compound danger, VIX-only, VVIX-only, and the most extreme case — combined signal with simultaneous VIX term structure backwardation.
Reference
Thrasher, A. (2017). Forecasting a Volatility Tsunami. Journal of Technical Analysis, Q4 2017. Thresholds and signal definitions are implemented as described in the original paper and have not been curve-fitted to subsequent data. Indicator
Cadence Reversion Cartography [JOAT]Cadence Reversion Cartography
Introduction
Cadence Reversion Cartography is an open-source mean-reversion and exhaustion overlay designed to locate stretched conditions around an EMA envelope and anchored VWAP framework. It focuses on mapping where price has moved too far from local balance, then grades whether a return toward value has enough supporting evidence to matter.
The problem this script solves is selective reversal timing. Price can stay overextended for longer than expected, so simple band-touch logic is not enough. Cadence Reversion Cartography combines envelope stretch, VWAP stretch, RSI exhaustion, volume impulse, rejection-candle behavior, reclaim logic, and projected response boxes so the user can distinguish weak touches from stronger reversion candidates.
Core Concepts
1. Dual Stretch Model
Price is compared to both an EMA deviation envelope and an anchored VWAP deviation layer. A long-side exhaustion condition requires price to stretch below both lower references. A short-side exhaustion condition requires price to stretch above both upper references.
2. Exhaustion Quality Filters
RSI can require oversold or overbought context, volume can require impulse relative to average participation, and candle structure can require a visible rejection profile.
3. Reclaim And Signal Grading
A setup becomes actionable only after price closes back inside the envelope on a confirmed bar. The script then scores the setup by counting how many filters aligned and promotes stronger signals to a prime grade.
4. Projection Mapping
When a setup forms, the script can draw a forward projection with a risk box, reward box, signal zone, and reclaim line. This is meant to show the structure of the reversion idea rather than acting as a promise of outcome.
Features
EMA reversion envelope: Basis plus statistical deviation bands
Anchored VWAP stretch layer: Secondary value reference around VWAP
RSI exhaustion filter: Optional momentum exhaustion gate
Volume impulse filter: Optional participation confirmation
Rejection-candle filter: Optional candle-structure confirmation
Signal grading: Standard and prime long or short responses
Signal zones and reclaim lines: On-chart response structure around the active setup
Risk and reward projection boxes: Optional forward mapping of stop and target structure
Context candle coloring: Candles can tint with stretch state
Dashboard: Displays stretch, setup bias, and active context
Input Parameters
Reversion Envelope:
Channel Length
Deviation Multiplier
VWAP Stretch Multiplier
Filters And Display:
RSI settings
Volume average and impulse multiplier
Rejection-candle requirement
Projection-box toggle, stop percent, reward multiple, projection length, and signal cooldown
Dashboard, background, candle-color, and signal-zone toggles
How to Use This Indicator
Step 1: Wait for price to stretch beyond both the EMA envelope and the VWAP stretch layer.
Step 2: Check whether RSI, volume, and rejection filters support the move.
Step 3: Wait for confirmed re-entry back inside the envelope instead of fading the first touch.
Step 4: Use the signal grade and projection structure to judge whether the setup is marginal or stronger.
Step 5: Use the basis and reclaim line as the first balance reference after entry.
Indicator Limitations
Strong directional trends can keep price stretched for extended periods and delay reversion
Volume-based confirmation is less meaningful on symbols with irregular volume reporting
Projection boxes are planning tools, not guaranteed outcomes
This script is designed for reversion analysis and is not intended to replace broader trend context
Originality Statement
Cadence Reversion Cartography is original in how it coordinates envelope stretch, VWAP stretch, filter-based exhaustion grading, and forward projection structure inside one reversion workflow. The components are combined to answer one analytical problem: not just whether price is stretched, but whether the stretch is mature enough to support a structured return toward value.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Reversion setups can fail during strong trends or regime expansion, so all signals should be used with independent confirmation and risk management.
-Made with passion by jackofalltrades
Indicator
Indicator
Funding Carry Stress Map [AGPro Series]Funding Carry Stress Map
🧠 Core Idea
Is the market carrying a hidden derivatives premium or discount that is becoming crowded enough to matter?
📌 Overview / What it does
Funding Carry Stress Map is a crypto derivatives context tool designed to estimate when perpetual-style premium, carry pressure, basis drift, and volatility-adjusted crowding are becoming structurally relevant on the chart.
The script compares the active chart symbol against a user-selected spot reference, builds a smoothed carry baseline, measures premium/discount deviation, evaluates persistence, and converts the result into a visual carry stress framework. It produces a projected carry stress corridor, state labels, right-side tags, alerts, and a compact AG Pro dashboard.
It does not read official exchange funding payments, automate trades, predict future price direction, or promise that elevated carry stress must reverse. It is a structured analytical layer for reading derivatives pressure, premium imbalance, discount imbalance, carry squeeze risk, and cooling behavior.
🎯 Purpose & Design Philosophy
This script was built to fill a gap in the public AGProLabs lineup: most chart tools focus on trend, volume, support/resistance, momentum, or volatility. Crypto traders also need a clean way to think about derivatives-side pressure without turning the chart into a noisy data terminal.
The design goal is to make carry stress visible as a chart story. Instead of showing only a raw spread number, the script asks whether premium/discount is large, unusual, persistent, and supported by enough volatility context to deserve attention.
It is built for traders who want to monitor crowded long carry, crowded short carry, squeeze risk, and stress cooling while still making their own decisions from broader market context.
⚡ Why This Script Is Different
Most tools either show generic premium/basis values or treat funding-related pressure as a simple bullish/bearish signal.
This script does NOT claim to know the next candle, does NOT treat carry pressure as an automatic reversal signal, and does NOT depend on official funding-rate feeds that may not be available on every chart.
Instead, it converts spot-vs-active-symbol premium behavior into a structured carry stress map: premium size, normalized basis deviation, persistence, volatility rank, price reaction, and cooling behavior are combined into one visual decision-support framework.
⚙️ Methodology
1. Context Detection
The script reads the active chart price and a spot reference. By default, it automatically builds that reference from the chart base currency, selected exchange, and selected quote.
2. Reference Mapping
The premium series is smoothed into a carry baseline. The script then measures how far current premium/discount has moved away from that baseline.
3. Reaction Evaluation
The model evaluates basis z-score, absolute premium percentage, persistence across a recent window, volatility rank, and whether price is starting to reject the crowded side.
4. Visual Output
The result is displayed as a carry stress corridor, event labels, right-side tags, and a dashboard panel showing state, stress score, premium, basis z-score, persistence, volatility rank, and current interpretation.
🗺️ How to Read the Chart
The carry stress corridor represents the active price area where derivatives-side pressure is being monitored.
Labels mark important state transitions such as premium stress, discount stress, carry squeeze risk, and carry cooling.
Colors communicate state:
• Pink = positive carry / long-crowding stress
• Teal = negative carry / short-crowding stress
• Yellow = squeeze-risk reaction
• Indigo = cooling or neutralization
The panel summarizes the current condition so the user can quickly read whether carry pressure is low, watch-level, elevated, or extreme.
🚦 Signals & States
• Premium Stress → positive premium/carry pressure is active and persistent enough to monitor
• Discount Stress → negative premium/discount pressure is active and persistent enough to monitor
• Carry Squeeze Risk → elevated carry pressure is present while price begins reacting against the crowded side
• Carry Cooling → previously meaningful carry stress has faded below the model’s cooling zone
• Reset → no active carry imbalance is strong enough to dominate the current read
🔔 Alerts Logic
Alerts trigger when the internal state changes into one of the selected alert conditions.
Premium Stress alerts mark a transition into meaningful positive carry pressure.
Discount Stress alerts mark a transition into meaningful negative carry pressure.
Carry Squeeze Risk alerts mark a transition where crowded carry pressure and adverse price reaction align.
Carry Cooling alerts mark a transition where carry stress has materially faded.
Alerts are attention markers, not trade instructions.
🧩 Confluence Logic
The strongest context appears when multiple components align:
When premium size + basis z-score + persistence + volatility rank align, the carry stress score becomes more meaningful.
When that elevated score also appears with price rejection against the crowded side, the context shifts from simple premium/discount monitoring into potential squeeze-risk awareness.
📊 When to Use
• Crypto perpetual and futures markets where a spot reference can be selected
• Perpetual charts compared against their closest spot market
• High-interest crypto pairs where basis and carry pressure can influence behavior
• Volatile sessions where crowded positioning may matter more than usual
• Market regimes where traders want to monitor long-crowd or short-crowd pressure
⚠️ When NOT to Use
• Illiquid symbols with unreliable spot or futures pricing
• Charts where the selected spot reference is not comparable to the active symbol
• Markets with very noisy or fragmented data
• Extreme news events where spread behavior can become unstable
• Non-crypto symbols unless the user deliberately selects a meaningful reference
🎛️ Key Inputs
• Auto Spot Reference → automatically builds the spot reference from the chart base currency, selected exchange, and selected quote
• Carry Baseline Length → controls how quickly the premium baseline adapts
• Stress Normalization Lookback → controls how far back the script looks to judge unusual basis behavior
• Persistence Window → measures whether carry pressure persists across several bars
• Premium Stress Threshold % → defines the minimum premium/discount level required for active stress
• Reference Mismatch Guard % → prevents mismatched symbols from being interpreted as real carry stress
• Basis Z-Score Threshold → defines how unusual the spread must be before stress can activate
• Visual Settings → control corridor projection, labels, right-side tags, bar colors, and font sizes
🖥️ Interface & Visual Design
The interface is designed around a premium first-glance chart story.
The corridor gives the chart an active visual anchor. The centered label explains the current stress read without forcing the user to inspect every panel row. Right-side tags keep the current state visible near the active price area.
The panel uses the AG Pro layout standard with a blue merged header row, adjustable location, adjustable theme, and adjustable font size.
🧪 Practical Usage Workflow
1. Apply the script to a perpetual or futures chart.
2. Keep Auto Spot Reference enabled, or manually select the closest matching spot market.
3. Read the panel state and stress score.
4. Check whether the corridor is neutral, premium-stressed, discount-stressed, or showing squeeze risk.
5. Evaluate price reaction around the corridor together with broader market structure, volatility, and risk rules.
🔍 Interpretation Guidelines
Treat carry stress as a context layer.
Premium stress can mean long-side carry is becoming crowded, but it does not automatically mean price must fall.
Discount stress can mean short-side carry is becoming crowded, but it does not automatically mean price must rise.
Carry squeeze risk is stronger when elevated stress and adverse price reaction appear together, but it still requires confirmation from broader market context.
🚫 What This Script Is NOT
This script is not a prediction engine.
This script is not financial advice.
This script is not an auto trading system.
This script is not a guaranteed signal engine.
This script does not read official funding payment data directly.
This script does not claim that premium or discount must immediately mean-revert.
⚠️ Limitations & Transparency
The script estimates carry stress from active-symbol versus spot-reference behavior. It is a proxy framework, not an official exchange funding-rate feed.
Results can vary by exchange, symbol mapping, liquidity, timeframe, and data quality.
The selected reference must match the active market. Auto Spot Reference is enabled by default to help keep ETH charts on an ETH reference, BTC charts on a BTC reference, and similar mappings aligned.
Fast market moves, low liquidity, stale references, or mismatched symbol selections can affect the accuracy of the stress interpretation.
Market conditions change, and the same stress score may behave differently across different volatility regimes.
🧠 Market Context Notes
In crypto markets, derivatives pressure can matter because perpetual traders may become crowded on one side when premium, basis, and volatility remain elevated.
This does not create certainty. It creates context.
The value of the script is strongest when the user combines carry stress with structure, liquidity, trend quality, volatility, and disciplined risk management.
🧾 Use Case Examples
When price trades above the spot reference with persistent premium and the panel shifts into Premium Stress, the user may monitor whether long-side carry is becoming crowded.
When price trades below the spot reference with persistent discount and the panel shifts into Discount Stress, the user may monitor whether short-side pressure is becoming crowded.
When elevated carry stress appears and price starts rejecting the crowded side, the Carry Squeeze Risk state can help highlight a context worth closer attention.
🧱 System Philosophy
Funding Carry Stress Map follows the AGProLabs principle of building decision-support maps rather than prediction tools.
The script is designed to make hidden context easier to see, not to replace judgment.
Its purpose is to organize information into a cleaner visual workflow: read the state, inspect the corridor, evaluate reaction, and confirm with broader context.
🔐 Non-Promise Statement
No script can guarantee market direction.
No carry stress model can remove uncertainty.
This tool helps organize context; it does not create certainty.
📉 Risk Disclosure
Trading involves risk.
Crypto derivatives can be highly volatile and may involve leverage, liquidation risk, exchange risk, funding-cost changes, and rapid market movement.
This script is for educational and analytical purposes only.
It does not provide financial advice or guaranteed trading outcomes.
Users remain responsible for their own decisions.
📚 Educational Note
Use the script as a learning layer for understanding how premium, discount, persistence, volatility, and price reaction can combine into a more complete derivatives-pressure read.
Indicator
VWAP Intraday, Weekly, MonthlyA clean, professional implementation of three anchored VWAPs — Intraday, Weekly and Monthly — with standard deviation bands, cloud fills and candle coloring. Built for futures, stocks and forex traders who use VWAP as a core part of their analysis.
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WHAT IS VWAP?
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Volume Weighted Average Price is the most widely referenced intraday benchmark used by institutional traders, market makers and algorithms. It represents the average price at which all volume has transacted over a given period. Price above VWAP is generally considered bullish, price below is bearish. The standard deviation bands show statistical distance from fair value — the further price extends from VWAP, the more extended and mean-reversion prone the move becomes.
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FEATURES
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▶ Intraday VWAP — resets each session. Band 1 and Band 2 with optional cloud fill.
▶ Weekly VWAP — resets each week. Band 1 and Band 2 with optional cloud fill.
▶ Monthly VWAP — resets each month, correctly anchored to the first session of the calendar month. Band 1 and Band 2 with optional cloud fill.
▶ Candle Coloring — green when price closes above Intraday Band 1, red when below. Neutral inside the bands.
▶ Multiple Anchors — Globex (18:00 ET, best for NQ/ES futures), Midnight (stocks and forex), Market Open (9:30 ET RTH), London session (03:00 ET) and Asia session.
▶ Source Selection — HLC3 (typical price, institutional standard), Close, HL2 or OHLC4.
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HOW TO USE
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Futures traders (NQ, ES, MNQ): use Globex anchor. This anchors VWAP to the 18:00 ET session open, matching institutional platforms like Sierra Chart and Bookmap.
Stock traders: use Midnight or Market Open anchor depending on your preference.
Forex traders: use Midnight anchor for a standard daily reset.
Band 1 (1.0 std dev) is the primary level. Price rejecting from Band 1 and reversing toward VWAP is one of the most reliable setups in VWAP trading. Price closing outside Band 1 signals a strong directional move. Band 2 (2.0 std dev) marks extended moves where mean reversion is statistically more likely.
Weekly and Monthly VWAPs act as macro support and resistance levels. Price above both is a bullish macro structure. Price between them shows a transitional zone. Price below both is bearish.
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SETTINGS
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All colors, opacity and line thickness are adjustable by clicking each color swatch — the popup includes color, opacity, thickness and line style in one place.
Each band's standard deviation multiplier is adjustable. The default 1.0 and 2.0 are the most commonly used values but some traders prefer 1.5 / 2.5 depending on their instrument and style.
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NOTES
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- Works on any timeframe and any instrument with volume data.
- For accurate Globex VWAP on NQ/ES, ensure your chart data includes the overnight session.
- Monthly VWAP is anchored to the first Globex session of each calendar month, not midnight of the 1st — this matches the institutional convention for futures. Indicator
Pulse Entry Engine🚀 Pulse Entry Engine
Pulse Entry Engine is a free momentum-based entry visualization and decision-support indicator designed to help traders analyze potential entry conditions with a cleaner, more structured, and more visual workflow.
This script combines a Special K-based momentum engine, signal modes, confirmation logic, EMA context, higher-timeframe bias filtering, modern oscillator visualization, signal strength scoring, star-based quality labels, TP/SL projection boxes, active-trade candle coloring, signal-candle background highlighting, compact dashboards, visual themes, and dynamic alerts into one organized TradingView tool.
The goal of Pulse Entry Engine is not to predict the future or provide guaranteed buy/sell instructions.
Its purpose is to help users visually study:
⚡ momentum expansion
🎯 entry-quality conditions
🧭 directional context
📊 signal strength
📦 projected TP/SL zones
🕯️ active-trade candle behavior
🚨 alert-based monitoring
Pulse Entry Engine should be treated as a structured chart-analysis tool, not as financial advice, not as an automated trading system, and not as a guarantee of profitable results.
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🔓 PUBLICATION NOTE
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This script is published as a free educational and visual market-analysis tool.
The description is intentionally detailed because many users do not inspect every part of the Pine Script logic line by line.
The purpose of this page is to explain:
✅ what the script does
✅ how the components work together
✅ what appears on the chart
✅ how signals are filtered
✅ how TP/SL projection works
✅ what the dashboards mean
✅ what the limitations are
✅ how the indicator should and should not be used
Pulse Entry Engine is designed to support structured decision-making.
It does not promise profitable results.
It does not remove market risk.
It does not execute trades.
It should not be used as a blind buy/sell system.
It is best used as a visual framework for reviewing momentum, signal quality, context, and projected risk/reward.
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📌 OVERVIEW
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At a high level, Pulse Entry Engine does the following:
1. ⚙️ Calculates a Special K-based momentum engine.
2. 📈 Compares the engine value with its signal line.
3. 📏 Measures the distance between the engine and signal line.
4. 🔥 Classifies stretch conditions as Weak, Normal, Strong, or Extreme.
5. 🎯 Generates LONG / SHORT pulse signals when selected conditions align.
6. 🧠 Provides five different Signal Modes.
7. 🕯️ Supports Bar Close and Live Intrabar confirmation.
8. 📈 Includes an EMA-based context filter.
9. 🧭 Includes a Higher Timeframe Bias Filter.
10. ⭐ Calculates a 0–100 signal score.
11. 📊 Displays a Signal Strength Bar.
12. 🌟 Shows star-based quality labels on the main chart.
13. 🟩 Highlights the exact signal candle with a vertical background.
14. 🕯️ Colors candles only while a projected trade is active.
15. 📦 Displays ATR-based TP/SL projection boxes.
16. 🎯 Tracks TP1, TP2, TP3, and SL visually.
17. 🔒 Blocks new signals while an active projection has not reached TP1.
18. 🔁 Allows replacement logic after TP1/TP2 progress.
19. 🌊 Includes a modern oscillator visual engine.
20. 📊 Includes Neon Histogram as the default oscillator view.
21. 🎨 Includes multiple visual themes.
22. 🖥️ Includes Minimal / Pro / Full display profiles.
23. 📋 Includes a compact main dashboard.
24. 📡 Includes a compact live scanning panel.
25. 🚨 Includes standard and dynamic alert messages.
This makes the script more than a simple oscillator or a basic signal marker.
It is a complete visual entry-analysis framework built around momentum, context, signal quality, and projected trade structure.
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🧠 CORE IDEA
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The core idea behind Pulse Entry Engine is simple:
A potential entry should not be judged from one isolated condition.
A single oscillator movement, one candle reaction, one stretched reading, or one signal label is usually not enough by itself.
Market context matters.
For that reason, Pulse Entry Engine combines several layers:
⚡ momentum engine direction
📏 distance and stretch expansion
🧭 zero-line context
📈 EMA context
🕰️ higher-timeframe bias
⭐ score requirement
🎛️ signal mode strictness
🕯️ confirmation timing
📦 TP/SL projection logic
The indicator does not attempt to mark every possible move.
Instead, it attempts to make momentum-based entry conditions easier to read, compare, and review.
The purpose is not to create more signals.
The purpose is to make signals more understandable.
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🧩 WHY THIS SCRIPT IS NOT A SIMPLE BUY/SELL INDICATOR
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Pulse Entry Engine is not intended to behave like a simple “buy here / sell here” script.
It is built as a structured workflow:
Pulse Engine
→ Distance / Stretch Detection
→ Signal Mode Filtering
→ Zero / EMA Context
→ HTF Bias Confirmation
→ Score Classification
→ Star-Based Signal Label
→ TP/SL Projection
→ Active Trade Visualization
→ Dashboard Review
→ Dynamic Alerts
Each part has a specific role.
⚙️ The Pulse Engine measures momentum behavior.
📏 The distance logic identifies meaningful separation from the signal line.
🎛️ The signal modes adjust strictness.
⭐ The score system summarizes confluence strength.
🧭 The HTF filter adds broader directional context.
📊 The dashboard summarizes current conditions.
🌊 The oscillator visualizes momentum behavior.
📦 The TP/SL boxes provide a projected risk/reward structure.
🚨 The alert system helps monitor signals without constantly watching the chart.
This makes the script a full review environment, not a one-condition signal tool.
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⚙️ HOW THE SCRIPT WORKS
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1) ⚡ PULSE ENTRY CORE
Pulse Entry Engine uses a Special K-based calculation as its internal momentum engine.
The engine produces two main values:
• the main momentum engine value
• the signal line
The relationship between these two values forms the foundation of the signal logic.
When the engine moves away from the signal line, the script measures the distance between them.
That distance is then compared to its own recent average distance.
This creates the Distance Ratio.
The Distance Ratio helps the script understand whether the current movement is weak, normal, strong, or extreme compared to recent behavior.
This is important because a raw distance between two lines may not mean much by itself.
A distance becomes more meaningful when it is large compared to the engine’s recent average behavior.
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📏 DISTANCE / STRETCH LOGIC
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The script calculates:
📌 current distance between engine and signal line
📌 average distance over the selected lookback
📌 distance ratio
📌 strong stretch threshold
📌 extreme stretch threshold
The stretch state can be:
🟤 Weak
🔵 Normal
🟠 Strong
🟣 Extreme
This stretch state appears in the dashboard.
The stretch logic is one of the most important parts of the signal engine.
A signal generally needs the engine distance to be strong enough according to the selected Signal Mode.
This helps reduce reactions to small, random oscillator movements.
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🎛️ SIGNAL MODES
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Pulse Entry Engine includes five Signal Modes.
These modes are not only visual names.
They change internal signal thresholds, score requirements, and filtering behavior.
Available modes:
🔥 Aggressive
⚖️ Balanced
⚡ Scalping
🌊 Swing
🛡️ Funded Account
🔥 Aggressive
Aggressive mode is the earliest and most sensitive profile.
It uses lower stretch requirements and a lower score threshold.
This means it can produce more signals and may react faster to developing momentum conditions.
Useful for:
• testing
• manual confirmation
• fast scanning
• active monitoring
• traders who want more potential setups
Important note:
Because it is more sensitive, it may also produce more noise.
⚖️ Balanced
Balanced mode is the default all-around profile.
It uses the user-defined Distance Multiplier and Extreme Stretch settings.
This mode is designed to provide a stable middle-ground behavior.
Useful for:
• general chart review
• standard intraday analysis
• balanced signal frequency
• users who want neither too many nor too few signals
⚡ Scalping
Scalping mode is designed for lower-timeframe active trading environments.
It is faster than Balanced mode but stricter than Aggressive mode.
Useful for:
• M1
• M3
• M5
• fast intraday scanning
• short-term chart review
Scalping mode should still be used with context, risk control, and independent analysis.
🌊 Swing
Swing mode is more selective.
It requires stronger stretch and a higher score threshold.
EMA and Zero filters are forced on for stricter directional context.
Useful for:
• larger market moves
• higher timeframe review
• slower trading style
• fewer but more filtered signals
🛡️ Funded Account
Funded Account mode is the strictest profile.
It requires the strongest internal confirmation among the available modes.
EMA and Zero filters are forced on.
Useful for:
• fewer signals
• stricter filtering
• drawdown-conscious review
• evaluation-style account discipline
• users who prefer cleaner setups
Important note:
This mode does not guarantee safer trades or profitable outcomes.
It only applies stricter internal filtering.
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🕯️ SIGNAL CONFIRMATION MODE
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Pulse Entry Engine includes two confirmation modes:
✅ Bar Close
⚡ Live Intrabar
✅ Bar Close
Bar Close mode confirms signals only after the candle closes.
This is the default mode.
It is designed to reduce repaint perception and make signal behavior easier to review historically.
This is generally the cleaner option for alerts and structured review.
⚡ Live Intrabar
Live Intrabar mode allows signals to appear before the candle closes.
This can provide earlier visual feedback.
However, because the candle is still forming, the signal may change before the candle closes.
This mode is faster but less stable than Bar Close confirmation.
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🧭 ZERO FILTER
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The Zero Filter uses the oscillator’s zero line as an additional context layer.
In the default logic:
🟢 LONG setups require the engine oscillator to be below zero.
🔴 SHORT setups require the engine oscillator to be above zero.
This creates a reversal-style interpretation.
The idea is that long signals may be more meaningful when the engine is stretched below the zero region, while short signals may be more meaningful when the engine is stretched above the zero region.
Swing and Funded Account modes force this filter on.
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📈 EMA FILTER
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The EMA filter adds price-location context.
In this version, the default EMA logic is reversal-oriented:
🟢 LONG setups are allowed when price is below the EMA.
🔴 SHORT setups are allowed when price is above the EMA.
This is not a classic trend-following EMA filter.
It is used to help identify stretched conditions relative to a directional reference.
Swing and Funded Account modes force this filter on.
The dashboard also uses the EMA relationship to display a simple bias state:
🟢 LONG ONLY
🔴 SHORT ONLY
⚪ NEUTRAL
This bias should be treated as context, not as an instruction to trade.
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🕰️ HTF BIAS FILTER
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Pulse Entry Engine includes a Higher Timeframe Bias Filter.
Available HTF modes:
⚪ Off
📈 EMA 100
📉 EMA 200
⚙️ Engine HTF
⚪ Off
No higher-timeframe filter is used.
📈 EMA 100
The script checks whether higher-timeframe price is above or below the HTF EMA 100.
Above HTF EMA100 = bullish bias.
Below HTF EMA100 = bearish bias.
📉 EMA 200
The script checks whether higher-timeframe price is above or below the HTF EMA 200.
This is a slower and broader macro filter compared to EMA 100.
⚙️ Engine HTF
The script calculates the engine relationship on the selected higher timeframe.
HTF engine above its signal line = bullish bias.
HTF engine below its signal line = bearish bias.
The HTF filter can help reduce signals that conflict with a broader directional context.
The default HTF timeframe is 60 minutes, but users can adjust it.
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⭐ SIGNAL SCORE
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Pulse Entry Engine calculates a 0–100 signal score.
The score is based on internal confluence components such as:
⚡ engine direction
📏 stretch strength
🧭 zero filter alignment
📈 EMA filter alignment
🔥 distance strength
The score appears in the dashboard and is also used internally by the selected Signal Mode.
Important note:
The score is not a win-rate prediction.
A score of 85 does not mean the signal has an 85% chance of winning.
It simply means the internal confluence conditions were stronger according to the script’s scoring model.
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🌟 STAR-BASED MAIN CHART LABELS
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On the main chart, Pulse Entry Engine uses star-based quality labels.
This keeps the chart cleaner than showing large score numbers directly on every signal label.
Star system:
⭐⭐⭐⭐⭐ = 96–100
⭐⭐⭐⭐ = 92–95
⭐⭐⭐ = 88–91
⭐⭐ = 84–87
⭐ = 80–83
☆ = below 80
Example labels:
▲ LONG PULSE
⭐⭐⭐⭐
▼ SHORT PULSE
⭐⭐⭐
The dashboard still keeps the full numerical score for users who want more detail.
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📊 SIGNAL STRENGTH BAR
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The main dashboard includes a Signal Strength Bar.
Example:
█████ 92
████░ 84
███░░ 73
This gives a quick visual representation of the current score.
The strength bar is not a performance statistic.
It does not represent probability or future outcome.
It only visualizes the current internal signal-quality score.
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🎨 VISUAL THEME SYSTEM
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Pulse Entry Engine includes three full visual themes:
🟢 Dark Emerald
🔵 Aqua Neon
🟣 Royal Purple
🟢 Dark Emerald
A dark professional theme using green, teal, and cyan accents.
🔵 Aqua Neon
A brighter cyber-style theme using blue, cyan, and pink tones.
🟣 Royal Purple
A premium-looking theme using purple and gold-style accents.
The theme affects:
🎨 dashboard colors
📡 live panel colors
🌊 oscillator colors
📊 histogram colors
🏷️ signal labels
📦 TP/SL boxes
🟢 LONG visuals
🔴 SHORT visuals
🕯️ active-trade candle coloring
🟩 signal-candle background
🚨 visual alert feel
Color inputs are intentionally not exposed in the Inputs tab.
The indicator uses internal theme profiles to keep the settings cleaner and more organized.
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🖥️ DISPLAY MODE
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Pulse Entry Engine includes three display profiles:
▫️ Minimal
▪️ Pro
🔳 Full
▫️ Minimal
Minimal mode reduces chart clutter.
It hides many optional visual layers such as dashboards, oscillator dots, gradient zones, pulse backgrounds, and TP level lines.
Useful for clean chart viewing.
▪️ Pro
Pro mode is the balanced default layout.
It uses the user’s individual visibility settings and is designed as the standard V1.0 experience.
🔳 Full
Full mode forces major visual layers on.
Useful for:
🎥 YouTube live streams
📸 screenshots
📚 educational examples
🧪 demonstrations
📊 full feature previews
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🌊 OSCILLATOR VISUAL ENGINE
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Pulse Entry Engine includes multiple oscillator display styles.
Available oscillator styles:
📊 Neon Histogram
🌊 Modern Pulse Wave
➖ Clean Line Pro
🕯️ Classic HA
🕯️ Classic Candles
Neon Histogram is the default mode in this version.
📊 Neon Histogram
This mode displays the difference between the engine core and signal line as a histogram.
The histogram helps users quickly read momentum expansion and contraction.
Positive and negative histogram areas are colored according to the selected theme.
🌊 Modern Pulse Wave
This mode displays a smooth pulse wave with soft glow layers and a momentum cloud.
It is designed to look clean, modern, and premium.
➖ Clean Line Pro
This mode provides a simpler line-based oscillator view with less visual noise.
🕯️ Classic HA
This mode keeps the previous Heikin Ashi-style synthetic oscillator candle view.
🕯️ Classic Candles
This mode keeps the previous raw synthetic oscillator candle view.
These modes allow users to choose between a modern histogram, a glowing wave, a minimal line, and legacy oscillator candle styles.
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🌈 OSCILLATOR SIGNAL DOTS
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The oscillator panel can show LONG and SHORT signal dots.
In modern modes, the dots can include a glow effect:
✨ larger soft outer dot
● smaller sharp inner dot
This makes signal locations easier to identify in the oscillator panel without large text labels.
These oscillator dots are visual markers only.
They are based on the same signal logic as the main chart labels.
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⚡ EXTREME STRETCH MARKERS
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The script can display extreme stretch markers when the engine reaches an extreme distance condition.
These markers highlight stretched momentum conditions.
They are not direct trade signals by themselves.
Their purpose is to show that the engine has moved far away from its recent average relationship with the signal line.
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📦 TP / SL PROJECTION SYSTEM
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Pulse Entry Engine includes a TP/SL projection system on the main price chart.
When a new signal appears, the script can draw:
📦 TP box
📦 SL box
🎯 TP1 line
🎯 TP2 line
🎯 TP3 line
🏷️ result label
The system uses ATR-based risk.
Default risk settings:
📌 SL ATR Multiplier = 2.5
📌 Final TP Risk Reward = 1.5R
TP structure:
TP1 = 25% of final TP distance
TP2 = 50% of final TP distance
TP3 = final TP
The boxes are projected forward by an initial number of bars.
Default:
📌 Initial TP/SL Box Length = 10 bars
If the projected trade remains active longer than the initial length, the box continues extending until TP3, SL, or a valid replacement condition occurs.
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🎯 TP1 / TP2 / TP3 / SL RESULT LOGIC
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The TP/SL projection system tracks the projected result visually.
Possible result labels:
🟢 TP1
🟢 TP2
🟢 TP3
🔴 SL
If price reaches TP3, the result is marked as TP3.
If price hits SL before reaching any TP level, the result is marked as SL.
If price reaches TP1 and later returns to SL, the result is marked as TP1.
If price reaches TP2 and later returns to SL, the result is marked as TP2.
This means the system remembers the highest target reached before a stop event.
This makes the visual projection more informative than a simple static TP/SL marker.
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⚠️ SAME-BAR TP/SL HANDLING
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If TP and SL are both touched on the same candle, there is ambiguity.
The script cannot know the true intrabar sequence unless lower-timeframe reconstruction is used.
For this reason, the script includes a same-bar setting:
If TP and SL Hit Same Bar:
🔴 SL
🟢 TP1
SL is the conservative default.
This allows users to decide how they want same-candle ambiguity to be handled in the visual projection.
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🔁 ACTIVE TRADE SIGNAL GATE
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Pulse Entry Engine includes an active projection gate.
If a projected trade is active and has not yet reached TP1, the script blocks new signals.
This prevents the chart from stacking multiple new signals before the previous projection has made minimum progress.
If an active projection has already reached TP1 or TP2 and a new signal appears, the old projection can be closed at its highest reached TP level and the new signal can begin.
This keeps the visual trade structure cleaner and more organized.
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🕯️ ACTIVE TRADE CANDLE COLORING
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Pulse Entry Engine can color candles while a projected trade is active.
This candle coloring appears only during an active projection.
🟢 During an active LONG projection, candles use the theme long color.
🔴 During an active SHORT projection, candles use the theme short color.
Once the projection closes, candle coloring stops.
This helps users visually identify when the system considers a projected trade to be active.
It is not a separate trading signal.
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🟩 SIGNAL CANDLE BACKGROUND
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The script can highlight the exact candle that produced a confirmed signal.
🟢 LONG signal = vertical long-colored background stripe
🔴 SHORT signal = vertical short-colored background stripe
This feature is useful for:
📌 historical review
📌 live chart monitoring
📌 YouTube live streams
📌 educational explanations
📌 quickly locating the original signal candle
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📋 MAIN DASHBOARD
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Pulse Entry Engine includes a compact main dashboard.
The dashboard can display:
🎛️ Signal Mode
🎨 Theme
🧭 Bias
🔥 Stretch state
⭐ Score
📊 Strength
🎯 Signal state
🕯️ Confirmation mode
🕰️ HTF Bias
The dashboard is intentionally compact.
It is not designed to be a large performance table.
Its purpose is to summarize the current engine state and help users understand what the script is currently reading.
Dashboard position and size can be adjusted from the settings.
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📡 LIVE SCANNING PANEL
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The script includes a compact Live Scanning panel.
The live panel displays the Pulse Entry Engine live scanning state in a clean visual format.
The lower information row was intentionally removed to keep the chart cleaner.
Users can adjust:
📍 Live Panel Position
🔠 Live Panel Size
● Live blinking status symbol
The live panel is visual only.
It does not affect signal logic.
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🚨 ALERT SYSTEM
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Pulse Entry Engine includes both standard alert conditions and dynamic alert messages.
Standard alertcondition alerts include:
🟢 LONG signal
🔴 SHORT signal
⚡ LONG/SHORT signal
🔥 Extreme stretch detected
The script also includes dynamic alert messages using alert().
The dynamic alert message can include:
📌 indicator name and version
📌 signal direction
📌 ticker
📌 timeframe
📌 Signal Mode
📌 Confirmation Mode
📌 HTF Bias
📌 Score
📌 Stretch
📌 ATR risk setting
📌 TP RR setting
Important usage note:
To use the full dynamic alert message, create a TradingView alert with:
Condition: Pulse Entry Engine
Option: Any alert() function call
The standard alertcondition options can still be used as simpler fallback alerts.
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🧪 HOW TO USE THE INDICATOR
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A practical workflow:
1. Add Pulse Entry Engine to your chart.
2. Start with the default Pro display mode.
3. Choose a visual theme that fits your chart.
4. Select your Signal Mode.
5. Use Bar Close confirmation for cleaner signal review.
6. Choose whether to enable the HTF Bias Filter.
7. Watch the oscillator histogram for momentum expansion.
8. Review the dashboard for score, stretch, signal state, and HTF bias.
9. When a LONG or SHORT pulse appears, check the star rating.
10. Look at the signal candle background highlight.
11. Review the TP/SL projection box.
12. Observe whether the projection reaches TP1, TP2, TP3, or SL.
13. Use alerts if you want automated signal notifications.
14. Validate the indicator on the specific markets and timeframes you personally study.
The indicator is best used as a structured decision-support tool.
It should not be used as a blind execution system.
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⚙️ SETTINGS REFERENCE
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🎯 Signal Logic
Source
Selects the price source used by the Pulse Entry Engine core.
Signal Length 1
Primary engine calculation length.
Signal Length 2
Secondary engine calculation length.
Signal Mode
Selects the main signal preset:
🔥 Aggressive
⚖️ Balanced
⚡ Scalping
🌊 Swing
🛡️ Funded Account
Signal Confirmation Mode
Controls when a signal is allowed to confirm:
✅ Bar Close
⚡ Live Intrabar
Average Distance Length
Lookback length used to calculate average distance between engine and signal line.
Distance Multiplier
Balanced mode stretch threshold.
Extreme Stretch Multiplier
Balanced mode extreme stretch threshold.
Reset When Distance Gets Weak
Allows the internal signal state to reset when distance becomes weak.
Reset Multiplier
Defines how weak the distance must become before reset.
Use Zero Filter
Enables zero-line filtering.
📈 EMA Filter
Use EMA Filter
Enables the EMA context filter.
EMA Length
EMA length used for the filter and dashboard bias.
🧭 HTF Bias Filter
HTF Bias Mode
Available modes:
⚪ Off
📈 EMA 100
📉 EMA 200
⚙️ Engine HTF
HTF Timeframe
Higher timeframe used by the HTF filter.
🎨 Style
Visual Theme
Available themes:
🟢 Dark Emerald
🔵 Aqua Neon
🟣 Royal Purple
Display Mode
Available profiles:
▫️ Minimal
▪️ Pro
🔳 Full
Oscillator Visual Mode
Available styles:
📊 Neon Histogram
🌊 Modern Pulse Wave
➖ Clean Line Pro
🕯️ Classic HA
🕯️ Classic Candles
Show Signal Line
Shows or hides the engine signal line.
Show Momentum Cloud
Shows the oscillator momentum cloud.
Show Zero Zone
Shows the oscillator zero zone.
Zero Zone Width
Controls the width of the zero zone.
Show Gradient Background Zones
Shows subtle oscillator background zones.
Show Extreme Stretch Markers
Shows extreme stretch pulse markers.
Show Oscillator Pulse Glow
Adds glow layers to modern oscillator visuals.
Show Neon Histogram
Controls histogram visibility when Neon Histogram mode is selected.
Show Oscillator Signal Dots
Shows LONG/SHORT dots in the oscillator panel.
Show Main Chart LONG / SHORT Labels
Shows signal labels on the main chart.
Main Chart Label Offset ATR
Controls how far signal labels are placed from price.
Show Main Chart Dashboard
Shows or hides the main dashboard.
Dashboard Position
Controls dashboard location.
Dashboard Size
Controls dashboard text size.
Show Main Chart Live Dashboard
Shows or hides the live scanning panel.
Live Panel Position
Controls live panel location.
Live Panel Size
Controls live panel text size.
Show Signal Pulse Background
Shows a soft background pulse when a signal appears.
Show Signal Candle Background
Highlights the exact signal candle with a vertical background.
Signal Candle Background Transparency
Controls the transparency of the signal candle highlight.
Color Candles During Active Trade
Colors price candles only while a projected trade is active.
Active Trade Candle Transparency
Controls active-trade candle coloring transparency.
Use Live Blinking Status Symbol
Enables the blinking live scanning dot.
Live Symbol Blink Seconds
Controls blink speed.
📦 TP / SL Box System
Show TP / SL Boxes on Main Chart
Enables TP/SL projection boxes.
SL ATR Length
ATR length used for stop-loss calculation.
SL ATR Multiplier
ATR multiplier used for SL distance.
Final TP Risk Reward
Final TP target multiple:
1R
1.5R
2R
3R
4R
5R
Max Stored TP / SL Trades
Maximum historical projection objects kept on chart.
If TP and SL Hit Same Bar
Controls same-bar ambiguity handling.
Show TP1 / TP2 / TP3 Lines
Shows TP level lines inside the projection box.
Initial TP / SL Box Length
Initial forward length of projection boxes.
Show TP / SL Result Label
Shows result labels after projected trade closes.
🛡️ Professional Controls
Max Main Signal Labels
Limits the number of main-chart signal labels to protect TradingView object limits.
Enable Dynamic Alert Messages
Enables alert() based dynamic alert messages.
Show Version Badge
Shows the V1.0 badge in the visual panels.
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🧠 WHAT MAKES THIS SCRIPT ORIGINAL
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Pulse Entry Engine uses familiar concepts such as:
⚡ oscillator momentum
📈 signal lines
🧭 EMA context
🕰️ higher-timeframe filtering
📦 ATR-based risk projection
📊 dashboards
🚨 alerts
These components are not unique by themselves.
The originality of the script lies in how these components are organized into one workflow:
Pulse Engine
→ Stretch Detection
→ Signal Mode Filtering
→ Score Classification
→ HTF Bias Confirmation
→ Modern Oscillator Visualization
→ Star-Based Quality Label
→ TP/SL Projection
→ Active-Trade Candle Coloring
→ Compact Dashboard
→ Dynamic Alerts
This structure is intended to give users a more organized way to review momentum-based entries.
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⚠️ IMPORTANT PRACTICAL NOTES
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The script’s behavior depends heavily on settings.
Signal frequency and visual output may change based on:
🎛️ selected Signal Mode
🕯️ confirmation mode
📈 EMA filter setting
🧭 HTF bias mode
🌊 oscillator visual mode
🖥️ display profile
📏 ATR multiplier
🎯 TP RR setting
📊 market
⏱️ timeframe
📉 symbol volatility
📚 available historical bars
A mode that appears cleaner on one symbol may not behave the same way on another.
The TP/SL boxes are visual projections based on the script’s rules.
They are not broker orders.
They do not account for real execution conditions.
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⚠️ LIMITATIONS AND SHORTCOMINGS
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This script has important limitations:
❌ It does not guarantee profitable trades.
❌ It does not predict future price movement.
❌ It does not replace risk management.
❌ It does not execute trades.
❌ It does not place orders.
❌ It does not include broker slippage.
❌ It does not include commissions.
❌ It does not include spreads.
❌ It uses bar-based chart data.
❌ Same-bar TP/SL order is approximated by a user-selected rule.
❌ Live Intrabar mode may change before candle close.
❌ Higher-timeframe filters can lag.
❌ EMA filters can conflict with certain market structures.
❌ Momentum signals can fail in choppy markets.
❌ Strong scores do not guarantee successful outcomes.
❌ TP/SL projections are visual analysis tools, not trade instructions.
❌ Historical visual behavior does not ensure future behavior.
For these reasons, Pulse Entry Engine should be used as an educational decision-support tool, not as a standalone trading strategy.
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👤 WHO THIS SCRIPT MAY BE USEFUL FOR
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This script may be useful for traders who:
✅ study momentum-based entries
✅ want a structured entry review tool
✅ want a clean visual dashboard
✅ want higher-timeframe context
✅ want ATR-based TP/SL projection
✅ want signal strength scoring
✅ want modern oscillator visuals
✅ want star-based quality labels
✅ want active-trade candle coloring
✅ want dynamic alerts
✅ prefer organized chart-based analysis
✅ want a free visual trading assistant for review and education
It may be less suitable for users who:
❌ want guaranteed buy/sell signals
❌ want a fully automated trading bot
❌ do not want chart visuals
❌ do not use technical analysis
❌ expect one setting to work on every market
❌ want an indicator that replaces their own decision-making
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🧭 BEST PRACTICE SUGGESTIONS
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For cleaner review:
✅ Start with Bar Close confirmation.
✅ Start with Balanced or Funded Account mode.
✅ Use HTF Bias only when you want broader directional filtering.
✅ Use Minimal display mode if the chart feels crowded.
✅ Use Full display mode for screenshots, education, and live demonstrations.
✅ Review signals together with market structure.
✅ Avoid treating every label as an automatic trade.
✅ Test the indicator on the specific symbols and timeframes you actually watch.
✅ Combine the tool with your own analysis and risk rules.
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🛡️ DISCLAIMER
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Pulse Entry Engine is provided for educational and informational purposes only.
It does not constitute financial, investment, or trading advice.
No indicator can guarantee future results.
Markets are uncertain, conditions change, and historical behavior does not ensure future performance.
Every user is responsible for their own analysis, validation, risk management, position sizing, and trading decisions.
Use this script as a structured decision-support and visual review framework, not as a promise of profitability. Indicator
Volatility Compression Release Map [AGPro Series]Volatility Compression Release Map
🧠 Core Idea
Is the market quietly building expansion energy, or has the release already failed back into the shelf?
📌 Overview / What it does
Volatility Compression Release Map is a volatility regime and compression shelf visualization tool built to identify quiet range contraction, release attempts, fake releases, and expansion quality.
The script maps a projected compression shelf when volatility rank and range size contract together. It then tracks whether price releases away from that shelf, returns back inside it, or continues to hold expansion pressure.
This script does not predict future price direction, automate trades, or produce guaranteed buy/sell signals. It is designed as a structured chart-reading layer for volatility compression, release quality, and contextual risk.
🎯 Purpose & Design Philosophy
The script was built for traders who care about the transition between quiet markets and expansion phases.
Many charts look calm before movement starts. The challenge is not simply seeing a tight range, but understanding whether that range is still building energy, whether the release is active, or whether the move has already failed back into the shelf.
The design philosophy is simple: reduce volatility noise into a readable map, preserve the important shelf story, and make the current regime understandable at first glance.
⚡ Why This Script Is Different
Most tools focus on breakout arrows, squeeze dots, or raw volatility bands.
This script does NOT treat every contraction as an immediate trade signal and does NOT frame every expansion candle as confirmation.
Instead, it builds a full compression-to-release map: the shelf, volatility rank, range size, release direction, fake-release risk, quality score, right-side state labels, and a compact AG Pro panel all work together.
⚙️ Methodology
1. Context Detection
The script evaluates ATR rank, recent range size, and whether price is still inside a quiet shelf.
2. Shelf Mapping
When compression conditions align, the active range is stored and projected forward as a compression shelf.
3. Release Evaluation
The script checks whether price leaves the shelf with enough candle body expansion to qualify as a release attempt.
4. Failure Tracking
If price quickly returns into the shelf during the fake-release window, the state changes to fake release.
5. Visual Output
The chart displays a projected shelf, dotted rails, a centered shelf-quality label, event labels, right-side state tags, and a compact AG Pro panel.
🗺️ How to Read the Chart
Zones represent the active compression shelf.
The shelf label shows the current shelf quality score using a compact `SHELF | Q` format.
Green/teal visual states generally indicate constructive expansion or defended release behavior.
Pink visual states highlight failed release or adverse volatility behavior.
Indigo/accent visuals represent compression and neutral shelf structure.
The panel summarizes compression state, release direction, volatility rank, range size, quality score, shelf range, and next context.
🚦 Signals & States
• COMPRESSION BUILD → a quiet shelf is forming and volatility is compressed
• RELEASE ACTIVE → price has moved away from the shelf with sufficient body expansion
• FAKE RELEASE → price returned back into the shelf after a release attempt
• SHELF WATCH → a shelf exists but the market has not produced a clean active release
• WAIT COMPRESSION → no valid compression shelf is currently active
🔔 Alerts Logic
Compression Build alert triggers when a new volatility compression shelf is detected.
Compression Release alert triggers when price releases from the active shelf with enough candle body expansion.
Fake Release alert triggers when price returns back into the shelf within the defined fake-release window.
Alerts are attention markers. They are not trade instructions.
🧩 Confluence Logic
The context becomes stronger when low volatility rank, compact range size, a visible shelf, and a strong release candle align.
The context becomes weaker when price fails back into the shelf shortly after release.
📊 When to Use
• Before potential expansion phases
• During quiet range compression
• Around breakout preparation zones
• When evaluating whether a move is expanding or failing
• On liquid markets where volatility structure is meaningful
⚠️ When NOT to Use
• Extremely illiquid symbols
• Very noisy low-timeframe charts
• News shock environments where volatility structure changes suddenly
• Markets with unreliable volume or large gaps
• Situations where a single indicator is being used without broader context
🎛️ Key Inputs
• Compression Lookback → controls the range window used to detect the shelf
• Volatility Rank Lookback → controls how ATR rank is measured
• Compression Rank Max → changes how selective compression detection is
• Range ATR Max → limits how wide a valid shelf can be
• Release Body ATR Min → defines how strong a release candle must be
• Fake Release Window → controls how quickly a release failure is detected
• Visual settings → control shelf projection, labels, panel, theme, and font sizes
🖥️ Interface & Visual Design
The interface is designed to look clean, premium, and publication-ready.
The shelf is the main visual anchor. Event labels are intentionally limited so the chart does not become crowded.
The AG Pro panel uses a merged blue header row and summarizes the state without covering the main chart story.
🧪 Practical Usage Workflow
1. Read the panel state.
2. Locate the active compression shelf.
3. Check whether price is inside, releasing, or failing back into the shelf.
4. Compare the quality score with the visual structure.
5. Use broader market context before making any decision.
🔍 Interpretation Guidelines
Compression is not direction.
A shelf shows where volatility has contracted.
A release shows that price moved away from the shelf with expansion pressure.
A fake release shows that the market rejected the expansion and returned to the compression area.
The strongest interpretations come from combining the shelf, state, quality score, and surrounding market structure.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not financial advice.
It is not an auto-trading system.
It does not guarantee profitable trades.
It does not replace risk management or independent analysis.
⚠️ Limitations & Transparency
Timeframe differences can change how compression and release behavior appears.
High volatility news events may reduce the usefulness of shelf-based interpretation.
Low-liquidity markets can produce misleading shelves and sudden false releases.
The script is rule-based and should always be interpreted within broader market context.
🧠 Market Context Notes
Volatility often contracts before expansion, but compression alone does not define direction.
The shelf helps identify where the market has stored recent range energy.
Release quality helps separate stronger expansion attempts from weak movement outside the range.
🧾 Use Case Examples
When price remains inside a shelf while volatility rank is low, the market may still be building energy.
When price leaves the shelf with strong body expansion, the script marks release behavior.
When price returns into the shelf quickly, the script flags a fake-release context.
🧱 System Philosophy
AGPro Series tools are built to turn complex market behavior into structured visual maps.
The goal is not to simplify markets into certainty, but to make important context easier to read.
🔐 Non-Promise Statement
No script can know the future.
No signal is certain.
No visual state should be treated as a guaranteed outcome.
📉 Risk Disclosure
Trading involves risk.
Markets can move unexpectedly.
Users are responsible for their own decisions, risk management, and trade execution.
This script does not provide financial advice.
📚 Educational Note
This tool is intended for educational and analytical use. It can help traders study volatility compression, release behavior, fake-release risk, and shelf-based market context.
Indicator
Volatility Coil Edge [BullByte]Volatility Coil Edge is a reversal detection script designed for intraday traders operating in futures, indices, and crypto markets. It identifies a specific and repeatable market condition: price compressing into a tight range at the extreme boundary of a session, then breaking out of that compression in the opposing direction. The compression is the footprint. The break is the trigger. Everything else - entry, stop, and three scaled targets - is calculated automatically from the structure itself.
This script is built from custom logic rather than a simple wrapper of standard indicators. VCE is built from a custom volatility state machine designed specifically for detecting absorption-and-release patterns at session extremes. There is no RSI. No MACD. No Bollinger Band. The logic is derived entirely from price geometry, ATR ratio mathematics, and session range physics.
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WHAT IS A VOLATILITY COIL
Price does not move in straight lines. It expands and contracts in cycles . When price reaches the edge of its established session range and begins contracting - forming smaller and smaller bars with decreasing volatility relative to recent history - it is coiling. This coil represents a temporary equilibrium between buyers and sellers at a structurally significant location.
The coil at a session high means sellers have been absorbing every attempt to push higher. The coil at a session low means buyers have been absorbing every attempt to push lower. When that absorption ends and price breaks through the coil boundary in the reversal direction, it signals that one side may be losing control and the opposite side may begin to take over.
VCE detects this moment and marks it on the close of the break bar. The script combines session-extreme context, multi-condition compression logic, violation tolerance, and post-impulse detection within one unified engine.
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WHY THIS WORKS AND WHY IT IS ORIGINAL
Most volatility indicators measure contraction globally across the entire chart. VCE measures contraction locally and contextually - it only cares about compression that forms at the edges of the current session range. A tight range forming in the middle of a session is noise. The same tight range forming at the session high or low is a structural event.
The detection engine uses three simultaneous compression conditions:
The first is a ratio comparison between a short-period local ATR and a longer-period background ATR . When the local ATR falls below a calibrated percentage of the background ATR, the bar qualifies as contracted.
The second is a drift-floor condition that catches low-volatility regimes where the ratio test alone would miss genuine compressions. It compares the current bar range against the rolling median bar range.
The third is Catalyst Mode, which identifies compressions forming immediately after a volatility expansion - the post-impulse coil. These are often a strong setup type because they represent price stalling after a strong directional move, often marking exhaustion at the extreme.
All three conditions feed a state machine that tracks how many consecutive bars meet the compression criteria, applies violation tolerance so that minor range extensions do not invalidate real coils, and enforces a maximum coil length to prevent stale consolidations from triggering signals.
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THREE SENSITIVITY TIERS
Conservative: Requires the tightest compression and the longest minimum coil duration. Generates fewer signals. Best for traders who prefer higher-filter setups and can wait.
Balanced: The recommended default. Moderate compression requirements and signal frequency. Suitable for most intraday traders across all supported markets.
Aggressive: Captures looser compressions and shorter coils. Higher signal frequency. Best for very active scalpers who want early entries and manage risk with tight stops.
All three tiers can be fully overridden with manual parameter control for experienced users who want to calibrate to a specific instrument.
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CATALYST MODE
When enabled, Catalyst Mode adds a fourth detection layer. If any of the last five bars showed a range greater than 1.5 times the background ATR, the engine recognizes that a volatility expansion just occurred. Compressions forming immediately after an expansion are flagged even if the ratio test alone would not qualify them. These post-impulse coils frequently mark the confirmed point where momentum stalls and reversal begins.
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SIGNAL MECHANICS
This tool provides a systematic framework for identifying the pattern and managing the trade once it fires. A historical bar is exactly what you would have seen in real time on that bar's close.
LONG signals fire when a qualified compression forms at the session low zone and price closes above the upper boundary of the coil on the break bar.
SHORT signals fire when a qualified compression forms at the session high zone and price closes below the lower boundary of the coil on the break bar.
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ENTRY, STOP, AND TARGETS
Entry is the close price of the signal bar.
The stop loss is placed beyond the structural extreme of the coil - below the coil low for longs, above the coil high for shorts - with an ATR buffer added for breathing room. A minimum stop distance floor prevents dangerously tight stops on very small coils.
The stop distance itself is bounded between an ATR floor and an ATR ceiling so that all three targets remain proportionally realistic regardless of coil size. Targets are then calculated as pure R-multiples of the final bounded stop distance:
TP1 defaults to 1.0R - the point where the trade has covered its own risk.
TP2 defaults to 1.5R - the primary partial profit zone.
TP3 defaults to 2.0R - the full target. Hitting TP3 closes the trade and removes all drawings.
TP1 and TP2 are milestone targets. When hit, a yellow dot marks the price level and the trade remains open. The stop loss and all three target lines remain live until TP3 or the stop is reached.
All R-multiple values are user-adjustable. The stop buffer and minimum distance are also adjustable.
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VISUAL ELEMENTS
Signal Card: A labeled marker appears at every signal bar showing direction (LONG or SHORT), the number of bars in the coil, and the TP2 R-multiple. In Minimalist mode, only the direction is shown. Signal cards are permanent - every historical signal remains visible for review.
Level Lines: At signal time, five horizontal lines are drawn - entry, stop loss, TP1, TP2, TP3 - each with a floating price label to the right. Lines extend forward bar by bar during the trade and terminate cleanly at the outcome bar.
Coil Box: While a compression is being watched, a dashed orange box outlines the coil range. The box updates in real time as the coil extends. A small tag shows direction bias and bar count.
Concentric Rings: Four nested rings are drawn around the signal bar at entry, scaling with ATR. They persist for the duration of the trade as a visual anchor and are removed automatically at outcome.
Milestone Dots: Yellow dots mark the exact bar and price where TP1 and TP2 are touched during the trade.
Signal Bar Highlight: The background of the signal bar is tinted green for longs and red for shorts.
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THE DASHBOARD
The dashboard panel shows the current state of the engine at a glance. It updates on every bar close.
The header shows the ticker symbol and timeframe so the panel is always self-identifying across multiple open charts.
STATE shows one of four conditions: IDLE when no coil is active, FORMING with a bar count when compression is building but not yet qualified, WATCH LONG or WATCH SHORT when a qualified coil is positioned at an extreme and the engine is waiting for a break, and ACTIVE LONG or ACTIVE SHORT during a live trade.
COIL shows the current compression bar count and the local-to-background ATR ratio as a percentage. Lower percentage means tighter compression.
ZONE shows where the active coil is positioned - session high, session low, or mid-range for forming coils that have not yet reached an extreme.
ENTRY shows the direction and confirmed entry price of the active trade.
TARGETS shows three dots - one for each TP level. Dots fill yellow as each milestone is hit during the trade.
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RECOMMENDED MARKETS AND TIMEFRAMES
VCE is designed for liquid intraday markets with defined session structure. It performs better on instruments that have clear daily range boundaries and regular volatility patterns.
Recommended markets: NQ, ES, MNQ, MES futures. BTC, ETH, SOL perpetual futures. Major crypto spot pairs. SPY, QQQ intraday.
Recommended timeframes: The script performs strongest on the 15 minute timeframe where session structure is cleanest and compression patterns carry the most weight. The 5 minute and 3 minute timeframes are well suited for standard intraday work. The 1 minute timeframe is for aggressive scalping and requires tighter risk management due to higher noise levels.
The Session Range Lookback input should be calibrated to approximately one full session worth of bars on your chosen timeframe. On a 5-minute chart, one RTH session is roughly 78 bars. On a 1-minute chart, approximately 390 bars. The default of 50 is a balanced starting point for 3-minute and 5-minute charts.
On a 15-minute chart one full RTH session is approximately 26 bars; set Session Range Lookback to 26 to 30 for clean session-extreme detection on this timeframe.
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HOW TO READ A LIVE SETUP (USAGE)
Step one : Watch for the dashboard STATE to change from IDLE to FORMING. This means compression is building somewhere on the chart.
Step two: When STATE changes to WATCH LONG or WATCH SHORT, the coil has qualified and is positioned at a session extreme. The orange coil box becomes visible. The engine is now armed.
Step three: Do not act on WATCH alone. Wait for the signal card to appear. The signal only fires on bar close when the coil has been broken in the reversal direction. The signal card, level lines, and rings all appear simultaneously at that moment.
Step four: Entry is the close of the signal bar. Place your stop at the SL line. Your targets are TP1, TP2, and TP3 as shown on the chart.
Step five: TP1 and TP2 mark themselves with yellow dots as they are hit. The trade closes automatically in the visual display when TP3 or SL is reached, and all lines are removed cleanly.
CHART EXAMPLE
The Science of Price Coiling : Silver 5m
Price surged aggressively into the session high zone, driven by strong buying momentum. But at the extreme, buyers ran out of fuel. Over the next 4 bars, the range shrank bar by bar, candles got smaller, volatility dried up, and neither buyers nor sellers could dominate.
This is the coil: not random sideways movement, but compressed energy at an unstable equilibrium. The longer price holds at an extreme without continuing, the more it signals that the side that drove it there is exhausting. When sellers finally overwhelmed the weakened buyers, price broke below the coil floor in a single decisive bar, releasing all stored tension in one direction.
That break was not a prediction. It was a consequence. The compression was the warning, the location was the context, and the break was simply the market resolving the imbalance it had been building. This is what VCE detects, not the move itself, but the conditions that make the move inevitable.
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ALERT SETUP
Two alert conditions are built in:
VCE Long Signal fires on bar close when a LONG setup triggers.
VCE Short Signal fires on bar close when a SHORT setup triggers.
To activate : open the Alerts panel, select Create Alert, choose VCE as the condition source, and select either Long Signal or Short Signal. Set the trigger to Once Per Bar Close. No additional configuration is needed.
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INPUTS REFERENCE
Sensitivity: Conservative, Balanced, or Aggressive preset. Controls compression tightness, minimum coil length, zone threshold, and break definition simultaneously.
Catalyst Mode: Enables post-impulse coil detection. Recommended ON for all markets.
Use Manual Overrides: Replaces the sensitivity preset with the four manual parameters below it.
Min Bars: Minimum consecutive compression bars required before a coil qualifies.
Max Bars: Maximum coil length before the coil is invalidated and reset.
Contraction Ratio: Local ATR must be below this fraction of the background ATR to register as a compressed bar.
Extreme Zone Percent: Defines what fraction of the session range constitutes the high and low extreme zones.
Background ATR Period: Smoothing period for the volatility baseline used in compression detection.
Session Range Lookback: Number of bars defining the rolling session high and low.
ATR Period: Period for the ATR used in stop and target calculations.
Post-Outcome Bar Gap: Minimum bars of silence after a trade closes before the next signal can fire.
SL Buffer: ATR multiplier added beyond the coil extreme when calculating the structural stop.
Min SL Distance: Floor for the stop distance as an ATR multiple. Prevents unrealistically tight stops.
Max SL Distance: Ceiling for the stop distance as an ATR multiple. Prevents absurdly wide stops on tall coils and keeps all TP levels proportionally realistic for the chosen timeframe.
TP1, TP2, TP3: Take-profit levels as multiples of the stop distance.
Label Right Offset: Controls how far to the right floating price labels appear.
Minimalist Signal Card: Shows only LONG or SHORT on the signal card when enabled.
Show Coil Box: Toggles the live orange compression box.
Highlight Signal Bar: Toggles background tinting on signal bars.
Show Concentric Ring Signature: Toggles the nested ring visual at signal bars.
Show Dashboard: Toggles the status panel.
Theme: Dark or Light. Adjusts all label, line, and panel colors for chart background compatibility.
Position: Sets the dashboard anchor position on the chart.
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NOTES ON PERFORMANCE AND EXPECTATIONS
VCE identifies a specific structural pattern. Not every coil produces a sustained reversal. Session context, macro flow, and news events all influence whether a given setup follows through. The tool provides a systematic framework for identifying the pattern and managing the trade once it fires. Risk management decisions remain with the trader.
The post-outcome bar gap input exists to prevent the engine from immediately re-entering after a stopped trade. This is a deliberate design choice, not a limitation.
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DISCLAIMER
This script is published for educational and informational purposes only. It is not financial advice and does not constitute a recommendation to buy or sell any financial instrument. Past signal behavior does not guarantee future results. Trading involves significant risk of loss. Always conduct your own research and apply your own risk management framework before making any trading decision. Indicator
ADX Filtered Average True RangeOverview
This indicator combines ATR-based volatility measurement with ADX directional filtering to highlight only those moments when volatility expansion is aligned with confirmed trend momentum. Raw ATR measures how much price moves per bar, but a rising ATR alone says nothing about direction or conviction. By layering an ADX filter on top, the indicator separates meaningful expansion — where volatility is growing in the direction of a strengthening trend — from choppy noise where volatility rises without directional follow-through.
The result is a two-signal system displayed in a separate pane: a smoothed ATR line that changes colour only when the trend is directionally confirmed, and a background highlight that activates only when all three conditions align — expanding ATR, a rising directional ADX signal, and a bar that closes in the direction of the trend. This gives traders a compact, at-a-glance read on whether current volatility is actionable or should be ignored.
The indicator is designed for swing and intraday traders on instruments with clear trending behaviour, such as NSE:NIFTY , NSE:BANKNIFTY , MCX:CRUDEOIL1! , and major crypto pairs.
How It Works
ATR is calculated by applying the selected smoothing method to the true range series. A second SWMA pass (smoothed ATR, atrs ) acts as a baseline — when raw ATR rises above atrs and atrs itself is also rising, the indicator treats volatility as actively expanding:
atr = ma_function(ta.tr(true), atrlen)
atrs = ta.swma(atr)
ATRExpanding = (atrs > atrs and atr > atrs)
The ADX filter uses Pine's native ta.dmi() to compute DI+, DI−, and raw ADX. A SWMA of ADX ( sadx ) acts as the directional baseline. Bullish ADX is confirmed when sadx is rising, ADX is above sadx , DI+ shows momentum or dominance over DI−, and DI+ is above 15. Bearish ADX mirrors this using DI−:
sadx = ta.swma(adx)
ADXUp = sadx > sadx and adx > sadx and (diplus > diplus or diplus > diminus) and diplus > 15
ADXDn = sadx > sadx and adx > sadx and (diminus > diminus or diminus > diplus) and diminus > 15
Background highlighting only fires when all three conditions are simultaneously true — expanding volatility, directional ADX confirmation, and a bar closing in the expected direction.
Colour key:
Dark red line — raw ATR; always visible as the volatility baseline
Thick white line — smoothed ATR (SWMA of ATR); the trend-adjusted volatility baseline
Green background — ATR expanding + bullish ADX confirmed + bullish bar (close > open)
Red background — ATR expanding + bearish ADX confirmed + bearish bar (close < open)
No background — ATR contracting, or ADX directional filter not met, or bar indecisive
Inputs
ATR – Length — Number of bars used to smooth the true range for ATR calculation. Constrained to the Fibonacci sequence for harmonic alignment. Low (e.g. 5): fast, reactive ATR that tracks short-term volatility spikes. High (e.g. 55): slow, structural ATR that filters out minor fluctuations. Default: 13.
Smoothing — MA method applied to the true range when computing ATR. RMA (Wilder's moving average) is the industry standard and matches most platform ATR implementations. SWMA is the most responsive with zero lag; VWMA incorporates volume weight. Default: RMA.
ADX – Length — Lookback period for the DMI/ADX calculation via ta.dmi() . Low (e.g. 8): ADX responds faster, triggers more frequently but with more false positives. High (e.g. 55): ADX requires sustained directional pressure before confirming. Default: 34.
ADX – Smoothing — Smoothing period applied inside ta.dmi() to derive the signal line (lensig). Low (e.g. 1): raw, unsmoothed ADX. High (e.g. 13): heavily smoothed ADX that lags but reduces whipsaws. Default: 3.
Usage Notes
A green or red background is a confluence signal, not a standalone entry. Use it to confirm setups identified on your primary chart — price action, structure, or another trend tool.
When the background is absent despite a strong price move, treat this as a caution flag. Either ATR is contracting (move may be running out of energy) or ADX disagrees with direction (possible counter-trend move).
The DI threshold of 15 acts as a minimum directional noise filter. In low-volatility instruments or compressed consolidation phases, ADX rarely satisfies this condition — this is intentional behaviour, not a bug.
The Fibonacci-constrained length inputs encourage harmonic consistency across ATR and ADX settings. Consider pairing lengths that share a ratio — for example ATR 13 with ADX 34, or ATR 21 with ADX 55.
On shorter timeframes (1m–5m), set ATR Length to 5 or 8 and ADX Length to 13 or 21 for responsive signals. On daily or weekly charts, 34/89 or 55/144 combinations work well.
This indicator plots in a separate pane. Keep your price chart uncluttered — the background colour bleeds through to the main chart, providing context without requiring you to watch the pane constantly.
Recommended Pairings
This indicator pairs well with a trend-following overlay such as a Hull MA, VWAP, or a multi-timeframe EMA ribbon to confirm the broader bias before the background activates. Volume indicators — particularly Volume Delta or On-Balance Volume — add a useful layer of confirmation when the background fires, helping distinguish absorption-driven moves from thin-market noise. For Indian derivative traders, pairing with an open-interest change indicator on NSE:NIFTY or NSE:BANKNIFTY options can sharpen entry timing during background signals. Indicator
Dealer VolumeDealer Volume transforms ordinary volume into a real-time map of who is actually trading and where it matters most.
Standard volume indicators show you HOW MUCH traded. Dealer Volume shows you WHO was forced to trade and WHERE.
Every volume bar is analyzed through the lens of options dealer mechanics and gamma physics. The result is a five-tier visual hierarchy that instantly separates institutional positioning from retail noise.
The five visual tiers
Each bar communicates through three simultaneous visual channels — physical width, color intensity, and luminous glow — so you can read the story at a glance:
MEGA DEALER PRINT — Massive volume at a critical gamma level. Renders as a chunky solid jewel core wrapped in a double halo of glow with a bright neon center stripe. These are the rarest, most important prints. The dealer desk is being forced to hedge mechanically and you can see it on the tape.
DEALER PRINT — Elevated volume at a gamma level, absorption events, climactic volume, or aggressive institutional buying or selling. Renders as a chunky solid core wrapped in a warm glowing halo. Mechanical hedging in progress.
STRONG — Above-average volume without dealer signature. Renders as a solid bright bar in vibrant emerald or ruby. Real directional flow.
NORMAL — Average volume. Renders as a thin semi-transparent bar in soft tones. Background market activity.
WEAK — Below-average volume. Renders as a hair-thin ghost bar that recedes into the chart. Quiet flow.
Delta Volume Mode (toggleable) mirrors bars around a zero baseline — green bars grow upward, red bars grow downward. This is how professional desks render volume because direction and imbalance become immediately readable from the histogram shape itself.
The indicator monitors five distinct gamma zones simultaneously:
Call Wall, Put Wall, GEX Flip, and the two inner gravity centers (M2c and M2p). When elevated volume hits any of these zones, dealers are being forced to hedge — and you see it the instant it happens.
Built-in alerts:
Mega Dealer Print
Dealer Print
Climactic Volume
Absorption Detected
Institutional Buying
Institutional Selling
How To Utilize
Step 1 — Add to chart
Apply to any timeframe on liquid US equity, index, or futures instruments (SPY, SPX, ES, QQQ, NDX, NQ, IWM, etc.). The indicator auto-detects the symbol and calibrates its gamma zones at the first bar of each regular trading hours session.
Step 2 — Read the bars
The chart curates itself. Your eye will naturally land on the glowing chunky bars. Those are the prints that matter.
A row of thin ghost bars with a single GLOWING bar interrupting them — that's where dealers got involved.
A solid bright bar without glow — real money is committed but not at a gamma level.
Hair-thin ghost bars across the chart — quiet flow, low conviction environment.
Step 3 — Trade the cluster
The most powerful setups happen when 2-3 dealer prints cluster in a short window. This signals institutional positioning being built at a specific level. Trade the resolution — either the level holds (cluster fades, price reverses) or the level fails (cluster precedes breakout).
Step 4 — Confirm with price action
A mega dealer print is not a signal to enter — it's a signal to PAY ATTENTION. The bar tells you something forced just happened. Confirm with your usual entry triggers (candle close, structure break, etc.) before acting.
Step 5 — Use alerts for hands-off monitoring
Set the "Mega Dealer Print" alert on your watchlist symbols. You'll get notified the moment a major institutional event hits a gamma zone — even if you're away from the screen. Indicator
Opening Range + Session Windows + Volume ProfileOpening Range + Session Windows + Volume Profile
This is a revised repost of my previous script version that trended on the TradingView community indicators page. The script has been rewritten, renamed, and cleaned up so the publication follows TradingView House Rules more closely.
The goal of this indicator is to make intraday session structure easier to read from one chart.
Opening range levels can be useful, but they are much more useful when viewed with nearby volume-based context. A move away from the opening range is not always the same type of move. It can be moving into an area where volume previously built, away from an area where volume was thin, or toward a level where participation has already concentrated.
This script is built to help show that context visually.
📊 What the script shows
• Opening range high, low, and range box
• Configurable session windows
• Current session volume profile
• Previous session volume profile
• POC, HVN, and LVN levels
• Live and prior session node labels
• A terminal-style HUD for session state, trend, range size, POC, HVN, LVN, and impulse counts
• A pressure meter based on session volume standard deviation
• Filtered buy-volume and sell-volume impulse labels
🧠 Why it was built this way
The script is designed around one main idea: the opening range should not be viewed in isolation.
A breakout, rejection, or rotation around the opening range can look completely different depending on where volume is sitting around price. If price is moving into a high-volume area, that can suggest a different type of environment than price moving through a thinner low-volume area. If a prior POC or volume node is nearby, that may also change how a trader studies the move.
This indicator does not try to replace analysis. It simply brings the important intraday structure into one clean visual layout so the user can study the session with more context.
⚙️ How to use it
1. Set the main session and opening range times in the settings.
2. Use the opening range box to mark the first part of the session.
3. Watch how price behaves around the current and prior volume nodes.
4. Use POC, HVN, LVN, and session levels as structure references.
5. Use the HUD to quickly read session state, trend, range size, and active nodes.
6. Use the volume gauge and impulse labels to study stronger participation events.
7. Adjust the session windows to match the market and timezone you trade.
🔁 Current vs prior levels
Live session levels are labeled as LIVE .
Previous session levels are labeled as PRIOR .
This makes it easier to separate developing session structure from levels carried forward from the last completed session.
⚡ Volume impulse labels
The volume impulse labels are intentionally filtered. They are not meant to appear on every volume increase. The script only prints them when participation is stronger than normal based on the selected settings.
This helps keep the chart cleaner and prevents the indicator from turning into a label-heavy mess.
🕒 Session windows
The session windows are visual time references only. They are fully configurable from the settings and can be adjusted, enabled, or disabled depending on the market being viewed.
⚠️ Important notes
This is not a trading system.
This script does not place trades, issue alerts to buy or sell, provide financial advice, or tell the user what action to take. It is a decision-support tool for studying intraday structure, volume location, session context, and participation.
FOR PINECODERS TEAM: Promotional references, branding, and unclear wording have been removed, and this description has been expanded so users can understand the purpose of the tool without needing to read the Pine code. I cannot, within reason, direct users any further regarding specific use of this indicator as to avoid providing any form of financial advice. It is a framework tool for various use-cases outlined above.
The user is responsible for their own analysis, risk management, and execution decisions.
✅ Best used on
Intraday charts where opening range structure and volume context matter, including index futures, stocks, ETFs, and other liquid instruments with meaningful volume data. Indicator
OPR Asia London US Universal Open Price RangeDescription :
What this script does
This indicator automatically draws the Open Price Range (OPR) for up to three configurable trading sessions: Asia, London, and US. For each session, it captures the high and low over a user-defined opening window, then extends the resulting levels forward in time so traders can monitor whether price respects or breaks the opening range.
What makes it original
Most OPR indicators on TradingView are hardcoded for a single instrument (DAX, NQ, ES) and a single timezone. This script solves three problems that existing public OPR tools do not handle:
Universal — works on any asset (indices, forex, commodities, crypto) without symbol detection logic. No ticker filtering.
Per-session timezone — each of the three sessions has its own independent timezone setting. Asia runs on America/New_York, London on Europe/London, US on America/New_York by default, but all are fully configurable. This ensures correct alignment regardless of the chart's display timezone.
Cross-midnight handling — the Asia session starts at 20:00 ET (evening) and its extension target falls the next morning. The script correctly computes next-day timestamps for the extend line, a case that breaks most existing OPR implementations.
How it works
For each session the script computes a tStart and tEnd timestamp in the session's own timezone using Pine Script's timestamp() function with explicit year/month/day/hour/minute parameters. It accumulates the highest high and lowest low of all bars within the window. On the first bar after the window closes, it draws:
A filled rectangle over the OPR capture window
A thick left-edge vertical line marking the exact open
High and low horizontal lines extended to a configurable end time
An optional dotted midpoint line
A small session label (AS / LN / US, all editable)
The extend target uses a cross-midnight guard: if the extend hour falls before the session start hour in that timezone, 86,400,000 ms (one day) is added to the timestamp.
How to use it
Set Start hour/min and End hour/min to define the capture window for each session. Set Extend hour/min to control how far the high/low lines project forward. Enable or disable each session independently. All colors, line widths, and labels are customizable in the Style group.
Works on any timeframe from 1 minute to 1 hour. Tested on indices (DAX, NQ, ES), forex pairs, and Gold. Indicator
Mercator Pressure [JOAT]Mercator Pressure
Introduction
Mercator Pressure is an open-source institutional-style pressure oscillator built to measure directional force using a blended model of candle pressure, close-location behavior, range expansion, optional volume impulse, and volatility-channel context. The goal is to capture not just whether momentum is positive or negative, but how forceful and structurally aligned that movement is.
The problem Mercator Pressure solves is shallow momentum interpretation. Many oscillators react to price movement but fail to distinguish between weak drift, strong displacement, location inside a volatility envelope, and divergence between price and internal force. Mercator Pressure combines those dimensions in one panel and adds confirmed divergence logic, threshold regimes, layered gradients, and a live dashboard.
Core Concepts
1. Weighted Candle Pressure Engine
The core model scores each bar using a weighted blend of body impulse, close location, range expansion, and optional relative volume impulse. This helps the oscillator react differently to high-conviction bars than to passive movement.
2. Volatility-Channel Context Engine
Pressure is not evaluated in isolation. The script also measures where price sits inside an adaptive volatility envelope and uses that context as part of the composite regime model.
3. Composite Regime and Signal Layer
The pressure and context models are blended into a smoothed composite oscillator and signal line. Regime state is then derived from threshold behavior and internal persistence.
4. Confirmed Divergence Detection
Both regular and hidden divergence are supported using pivot-confirmed logic, which keeps the divergence framework more stable than naive visual divergence methods.
5. Institutional Panel Styling
Mercator Pressure uses layered fills, gradient regime cues, restrained optional divergence markers, and a top-right dashboard rather than retail-style arrow spam.
Features
Multi-factor pressure engine: Body, close location, range expansion, and optional relative volume
Volatility envelope context: Internal force is blended with channel position
Composite oscillator and signal line: Regime interpretation is smoother and more stable
Regular and hidden divergence: Pivot-confirmed divergence conditions
Confirmed-bar event gating: Alerts and key events can be evaluated on closed bars
Layered gradient fills: Smooth panel depth instead of harsh histogram clutter
Regime background tint: Visual context in the panel
Top-right dashboard: Live state readout for regime, slope, context, and divergence
Optional divergence markers: Uses professional square and diamond markers, not arrows
Alertconditions: Regime flips, signal crosses, expansions, and divergences
How to Use This Indicator
Step 1: Read the Composite Line Versus Signal
When the composite line is above the signal and above key thresholds, internal pressure is supportive. The opposite applies during bearish pressure.
Step 2: Check Regime State
Use the dashboard and panel tint to determine whether the script sees a bullish, bearish, or neutral pressure regime.
Step 3: Watch Expansion Conditions
Expansion events are stronger than ordinary threshold crosses because they imply pressure is extending into a more forceful state.
Step 4: Use Divergence as Context
Divergence is best used as a warning or contextual signal, not as a blind reversal trigger.
Indicator Limitations
Divergence only confirms after pivots confirm, which introduces natural delay by design
Pressure is a proxy model derived from chart data, not exchange-level order flow
The composite engine is adaptive and may behave differently across very low-volatility versus very high-volatility symbols
This script is best used as a directional-quality filter or context tool, not a standalone trading system
Originality Statement
Mercator Pressure is original in the way it combines weighted candle pressure, volatility-envelope context, regime hysteresis, and pivot-confirmed divergence inside one coordinated panel. Its value comes from force measurement, contextualization, and divergence structure rather than from any one common oscillator formula.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Pressure and divergence readings are derived from historical price and volume behavior and do not guarantee future results.
- Made with passion by jackofalltrades
Indicator
AGT LevelsAGT Levels is a custom volume-profile-based support and resistance tool designed to highlight key High Volume Nodes and Low Volume Nodes directly on your chart.
Instead of using standard horizontal levels, this indicator builds a full right-side volume profile from the same data used to calculate the levels. The profile is plotted to the right of price and faces back toward the chart, making it easier to see where volume has built up and where price may react.
The main idea is simple:
High Volume Nodes can act as areas where price accepts value, consolidates, or reacts strongly.
Low Volume Nodes can act as rejection zones, thin liquidity areas, or fast-move regions where price may move quickly through or reject from.
The indicator includes:
• Full right-side volume profile
• Up/down volume split inside the profile
• HVN and LVN level detection
• Major and minor level zones
• Adjustable sensitivity settings
• Adjustable profile offset
• Level zones extending from the volume profile
• Optional boxes, midlines, or both
• Alerts for level touches and rejections
The Sensitivity setting controls both the volume profile resolution and the level detection logic:
Conservative gives cleaner, broader levels.
Balanced gives a good all-round view.
Aggressive gives more granular levels and a more detailed profile.
This tool is designed to help traders identify important volume-based reaction zones, rather than relying only on traditional highs/lows or manually drawn support and resistance.
Best used together with your own market structure, session bias, VWAP, orderflow, or liquidity-based strategy.
This script does not predict future price movement. It is intended for technical analysis, backtesting, and educational use only.
Not financial advice. Always do your own research and risk management. Indicator
MATC Residence Momentum Zones )
Description
MATC Residence Momentum Zones is a trend-regime visualization system designed to map market structure using dynamic support and resistance zones, combined with forward projection.
The indicator defines an upper resistance level and a lower support level, which form the main structural boundaries of price movement. A midline is used as a neutral reference area between these two zones.
In addition to the current structure, the system projects these levels forward in time. This forward projection creates a “future zone view”, allowing the user to observe how current market structure may extend into upcoming price action.
When price breaks above the resistance structure, the system transitions into a bullish regime. When price breaks below the support structure, it transitions into a bearish regime. These regime changes are used to generate BUY and SELL signals.
The visualization includes a color-filled area between the current structure and its forward projection. These filled zones represent a forecasted continuation area, not a guaranteed outcome. They are derived directly from the underlying price-based structure and serve as a visual representation of potential directional expansion.
Key elements:
Upper zone represents resistance-based structure
Lower zone represents support-based structure
Midline represents equilibrium
Forward projection shows extended structural expectation
Colored zones between current and projected levels represent probabilistic directional bias based on price action
This tool is intended for structural interpretation of trend direction and forward market context rather than precise prediction.
🇹🇷 MATC Residence Momentum Zones (Signals dahil)
Açıklama
MATC Residence Momentum Zones, piyasa yapısını dinamik destek ve direnç bölgeleri üzerinden görselleştiren ve buna ek olarak ileriye projeksiyon yapan bir trend rejim sistemidir.
İndikatör, fiyat hareketini üst direnç ve alt destek seviyeleri ile sınırlandırır. Bu iki seviye, piyasanın ana yapısal bölgelerini oluşturur. Orta çizgi ise bu iki bölge arasında denge referansı olarak kullanılır.
Sistemde ayrıca bu seviyeler ileriye doğru projekte edilir. Bu projeksiyon sayesinde kullanıcı, mevcut piyasa yapısının gelecekte nasıl devam edebileceğine dair görsel bir alan görür.
Fiyat üst direnç seviyesini kırdığında sistem boğa (bullish) rejimine geçer, alt destek seviyesini kırdığında ise ayı (bearish) rejimine geçer. Bu rejim değişimleri BUY ve SELL sinyallerini oluşturur.
Görselleştirmede, mevcut yapı ile ileri projeksiyon arasındaki alan renklendirilir. Bu renkli bölgeler, kesin bir tahmin değil, fiyat yapısından türetilmiş olasılıksal devam bölgesini temsil eder.
Bu renkli alanlar:
Üst bölgede yeşil olarak yükseliş baskısını
Alt bölgede kırmızı olarak düşüş baskısını
Gelecekteki olası fiyat genişleme alanını
görsel olarak ifade eder.
Bu sistem, kesin tahmin üretmekten ziyade piyasa yapısını ve trend yönünü daha net okumayı amaçlar. Indicator
Indicator
Risk Analysis [OmegaTools]Risk Analysis
Overview
Risk Analysis is a professional-grade, overlay risk dashboard designed for active traders and quantitative analysts who need a structured, real-time view of market conditions directly on their chart. Rather than cluttering the chart with multiple sub-pane indicators, this tool consolidates eight statistically grounded risk and market-structure metrics into a single, clean, repositionable table — giving you an immediate read on directionality, volatility, momentum regime, and price positioning at a glance.
The indicator is fully dollar-denominated via syminfo.pointvalue, making it natively compatible with futures contracts (NQ, ES, GC, CL, 6E, and others), where tick-scaled dollar values are essential for meaningful risk sizing and trade management.
Metrics Explained
Directionality — ADR$
The Average Directional Range captures the one-sided, committed portion of each bar's movement — the distance price traveled in a single direction — as opposed to the full high-low span. It blends a short-term RMA (11) with a medium-term SMA (34) to smooth noise while remaining responsive to shifts in directional energy.
dr = math.max(high - close, close - open)
adr = math.avg(ta.rma(dr, 11), ta.sma(dr, 34)) * syminfo.pointvalue
Expressed in dollar terms, ADR gives you a practical measure of how much price has been committing to a direction per bar, which directly informs target placement and profit expectation calibration.
Volatility — ATR$
The Average True Range measures the full extent of bar-to-bar price expansion, capturing both directional and indecisive (choppy) volatility. The same dual-smoothing structure (RMA 11 averaged with SMA 34) is applied for consistency with the ADR calculation.
tr = high - low
atr = math.avg(ta.rma(tr, 11), ta.sma(tr, 34)) * syminfo.pointvalue
Expressed in dollars, ATR serves as the baseline volatility reference for stop-loss sizing, risk-reward calibration, and position sizing models.
Directionality Relative — X multiplier
This metric contextualizes the current ADR/ATR ratio against its own 50-bar rolling average, expressing the result as a multiplier.
directionality = adr / atr * 100
directionalityrelative = directionality / ta.sma(directionality , 50)
A reading of 1.0X means directional intensity is at its historical norm. Values above 1.0X indicate the market is more directional than its recent baseline, which is favorable for trend-following approaches. Values below 1.0X signal a contraction in directionality, suggesting a shift toward mean-reversion or consolidation conditions.
Distance from High — $
The dollar distance between the current close and the 11-bar swing high. This metric directly quantifies how much room price has traveled away from a recent structural peak, which is critical for assessing short-side risk exposure, trailing stop management, and mean-reversion entry evaluation.
distfromh = (ta.highest(high, 11) - close) * syminfo.pointvalue
Low values indicate price is pinned near the top of the recent range. High values indicate extended downside displacement from the swing high.
Distance from Low — $
The symmetric complement — the dollar distance between the current close and the 11-bar swing low. High values indicate price has stretched far above a recent structural base.
distfroml = (close - ta.lowest(low, 11)) * syminfo.pointvalue
This pair of metrics together defines the current intra-range positioning of price, which is indispensable for both breakout and mean-reversion setups.
ADF — Augmented Dickey-Fuller Proxy
The ADF metric is a statistical proxy for the Augmented Dickey-Fuller test, a classic econometric test for stationarity (mean-reversion) versus unit-root behavior (trending). The 100-bar Pearson correlation between price changes and lagged price levels is used as the core signal, then scaled and shifted for readability.
adf = ta.correlation(close - close , close , 100) * 10 + 0.5
A negative correlation between price changes and price levels implies mean-reverting dynamics. A positive correlation implies trend-persistence. Values above 0 indicate a strong trending regime. Values near 0 indicate a transitional or mixed regime. Values below 0 indicate a mean-reverting regime where price consistently reverts from extremes. This is particularly valuable for regime-conditional strategy selection.
Relative Volume — RelVolume X
Relative Volume compares short-term volume activity against medium-term baseline activity, expressed as a multiplier.
relvol = ta.sma(volume, 5) / ta.sma(volume, 21)
Values above 1.0X indicate current volume is elevated relative to the recent norm, signaling heightened participation. Values near 1.0X indicate volume is in line with baseline. Values below 1.0X indicate suppressed volume and low conviction. This metric is essential for filtering signal quality — high-conviction moves require volume confirmation, and this ratio makes that assessment immediate and quantitative.
Z-Score
The Z-Score measures how many standard deviations the current price is displaced from its 21-bar rolling mean. It is one of the most direct statistical measures of mean-reversion opportunity.
zscore = (close - ta.sma(close, 21)) / ta.stdev(close, 21)
A Z-Score above +2 indicates price is significantly extended to the upside with elevated reversion risk. A Z-Score below −2 indicates price is significantly extended to the downside. A Z-Score near 0 indicates price is trading near its statistical center of gravity. Combined with the ADF and Relative Volume, the Z-Score completes a full statistical picture of the current market regime and opportunity type.
How to Use This Indicator
Trend-Following Context
When ADF is above 0, Directionality Relative is above 1.0X, and Relative Volume is above 1.0X, the market is showing statistically robust trending behavior with above-average participation. In this context, use ATR$ for stop-loss placement and ADR$ for realistic target sizing. Use Distance from High and Distance from Low to assess whether a pullback entry is available or whether price has already extended beyond a reasonable entry point.
Mean-Reversion Context
When ADF is below 0, Z-Score is above ±1.5, and Directionality Relative is below 1.0X, the market structure favors mean-reversion setups. Distance from High and Low identifies the magnitude of the current displacement from structure. Relative Volume below 1.0X in this context supports a low-conviction, fading approach.
Position Sizing
All dollar-denominated metrics — ADR$, ATR$, Distance from High$, Distance from Low$ — are scaled by syminfo.pointvalue, making them directly usable for dollar-based risk models. For example: if ATR$ reads 300$, a 1-ATR stop on a standard NQ contract represents $300 of risk per contract with no manual conversion required.
Inputs
Table Location — Default: Top Center. Repositions the dashboard anywhere on the chart. Available positions: Bottom Right, Bottom Center, Bottom Left, Middle Right, Middle Center, Middle Left, Top Right, Top Center, Top Left.
Compatibility
Recommended for futures markets where syminfo.pointvalue is meaningful (NQ, ES, CL, GC, 6E, and others). Compatible with all asset classes and all timeframes. Renders as an overlay table directly on the price chart with no sub-pane required. The table uses chart.fg_color throughout for full light and dark theme compatibility. All calculations run on the current symbol and timeframe with no secondary data requests, keeping the indicator lightweight and fast.
Notes
This indicator is published open source. Study, adapt, and build on it freely.
© OmegaTools — Professional quantitative tools for serious traders. Indicator
Big Daddy Max ORB StrategyBig Daddy Max ORB Strategy | Scam or Slam Series
This script is part of my Scam or Slam series, where I take popular trading concepts, code them into TradingView strategies, and backtest them properly to see if the idea actually has an edge — or if it only looks good in hindsight.
This strategy is based around the classic Opening Range Breakout concept.
The script builds an opening range using the selected ORB window, then looks for two main trade types:
1. Continuation Entries
If price closes above the ORB high, the strategy can enter long.
If price closes below the ORB low, the strategy can enter short.
2. Reversal Entries
If price breaks out of the ORB but then closes back inside the range, the strategy can treat that as a failed breakout and enter in the opposite direction.
The strategy includes adjustable settings for:
• ORB session window
• Trading window
• Take profit RR
• Contract / quantity size
• Continuation entries on/off
• Reversal entries on/off
• Stop loss at ORB midpoint or opposite ORB side
• Close trades at session end
• Entry, stop loss, and take profit visuals
• Risk/reward boxes
• ORB high, low, and midpoint levels
The script now works across all chart timeframes. Lower timeframes will give a more precise ORB, while higher timeframes will naturally be less detailed because they use fewer candles to build the range.
This is designed for backtesting and educational purposes only. The goal is not to claim that the strategy is profitable out of the box, but to test the logic properly and see whether the concept is a Scam or a Slam.
As always, this is not financial advice. Do your own research, test everything yourself, and never risk money you cannot afford to lose.
Strategy
Opening Auction Trap Map [AGPro Series]Opening Auction Trap Map
🧠 Core Idea
Did the opening auction accept value, reject an early extreme, or trap breakout participants?
📌 Overview / What it does
Opening Auction Trap Map is an intraday session-open analysis tool built to study the first auction window of the trading session.
The script builds an opening auction box, tracks the auction high and low, draws an acceptance rail, maps upper and lower failed-auction trap zones, and classifies whether price is accepting outside the auction or rejecting back into the range.
It does not predict price direction, automate trades, or claim that every opening trap will create a reversal. It is a structured visualization and decision-support tool for intraday auction context.
🎯 Purpose & Design Philosophy
Many opening-range tools focus only on breakout direction.
This script was built to answer a more precise auction question:
Was the opening move accepted, or did it trap traders who chased the first extreme?
The design goal is to help intraday traders read the opening range as an auction behavior map instead of treating it as a simple breakout box.
⚡ Why This Script Is Different
Most ORB tools mark the opening high and low, then wait for a breakout.
This script does NOT treat every opening breakout as valid.
Instead, it checks whether the move accepts beyond the auction edge, fails back inside the auction range, or retests a failed edge. The focus is auction behavior, trap risk, range control, and acceptance quality.
⚙️ Methodology
1. Opening Auction Window
The script tracks high, low, and midpoint during the selected opening auction window.
2. Auction Box and Rails
After the auction completes, the script projects the auction box, upper and lower trap zones, and the midpoint acceptance rail.
3. Failed-Auction Detection
If price breaks above the auction high and closes back inside the range with enough upper-wick rejection, the script can mark an upper auction trap.
If price breaks below the auction low and closes back inside the range with enough lower-wick rejection, the script can mark a lower auction trap.
4. Acceptance Evaluation
If price holds beyond the auction edge for the required number of closes, the script can mark accepted movement above or below the auction.
5. Visual Output
The chart displays the auction box, trap zones, acceptance rail, event labels, right-side tags, alerts, and a compact AG Pro panel.
🗺️ How to Read the Chart
Opening Auction Box = the high-low range created during the selected opening window.
Acceptance Rail = the midpoint of the opening auction range.
Upper Trap Zone = the area around the auction high where failed upside breakouts may be evaluated.
Lower Trap Zone = the area around the auction low where failed downside breakouts may be evaluated.
UPPER AUCTION TRAP = price failed above the auction high and closed back inside the range.
LOWER AUCTION TRAP = price failed below the auction low and closed back inside the range.
ACCEPT UP = price accepted above the auction high.
ACCEPT DOWN = price accepted below the auction low.
Panel = summarizes auction state, quality score, auction high/low, range control, trap risk, next context, session window, and timeframe scope.
TF Scope = shows whether the current chart timeframe is inside the supported auction-building range.
🚦 Signals & States
• UPPER TRAP → upside auction breakout failed back inside the range.
• LOWER TRAP → downside auction breakout failed back inside the range.
• ACCEPT UP → price accepted above the auction high.
• ACCEPT DOWN → price accepted below the auction low.
• RANGE CONTROL → price is trading inside the auction range.
• ABOVE AUCTION → price is above the auction high but not yet classified as accepted.
• BELOW AUCTION → price is below the auction low but not yet classified as accepted.
• BUILDING → the opening auction window is still forming.
🔔 Alerts Logic
Alerts trigger when a new major auction behavior state appears.
• Upper Opening Auction Trap → price failed above the auction high and closed back inside the range.
• Lower Opening Auction Trap → price failed below the auction low and closed back inside the range.
• Accepted Above Opening Auction → price accepted above the opening auction high.
• Accepted Below Opening Auction → price accepted below the opening auction low.
Alerts are attention markers, not trade instructions.
🧩 Confluence Logic
The context becomes stronger when:
• The auction range is clearly formed
• Price probes an auction edge
• The close rejects back inside the range
• Wick quality is strong
• Relative volume confirms participation
• The panel state agrees with the event label
If these elements do not align, the script avoids forcing a trap interpretation.
📊 When to Use
• Intraday session-open analysis
• Opening range review
• ORB validation and failed-breakout detection
• Equity index, stock, futures, forex, and crypto session studies
• 1m, 3m, 5m, 15m, 30m, and 1H charts
• Markets where the selected opening session has meaning
⚠️ When NOT to Use
• Daily, weekly, or monthly charts
• Symbols without a meaningful session open
• Very low-liquidity assets
• Extremely noisy markets where wick behavior is unreliable
• Charts where the selected auction window does not match the actual market session
• Situations where a single opening range should not be over-interpreted
🎛️ Key Inputs
• Opening Auction Window → defines the session segment used to build the auction range.
• Active Session Window → defines the session where post-auction behavior is evaluated.
• Max Chart TF Minutes → defines the largest chart timeframe that should build the auction map. With the default 09:30-10:00 auction window, 30m and lower charts are the intended use.
• Acceptance Close Count → sets how many closes are required before a breakout is treated as accepted.
• Trap Evaluation Window → limits how long after the auction trap logic remains active.
• Trap Wick Quality Threshold → controls how strong the rejection wick must be before a trap label appears.
• Use Volume Confirmation → adds relative volume to quality scoring.
• Trap Zone Width ATR → controls the thickness of the upper and lower trap zones.
• Event Label Mode → Premium focuses on traps and accepted moves. Detailed also allows lower-priority retest labels.
• Projection Bars → controls how far the auction structure projects to the right.
🖥️ Interface & Visual Design
The visual hierarchy is built around the auction range:
The box defines the opening auction.
Trap zones frame the dangerous edges.
The midpoint rail shows range control.
Event labels mark important acceptance or failure behavior.
The AG Pro panel summarizes the current auction state without requiring the user to decode every element manually.
🧪 Practical Usage Workflow
1. Select the opening auction window that matches the market.
2. Wait until the auction box completes.
3. Watch how price behaves around the auction high and low.
4. Check whether price accepts beyond the edge or fails back inside the range.
5. Use the panel to confirm auction state, quality score, range control, and trap risk.
6. Interpret the output inside broader market context.
🔍 Interpretation Guidelines
An upper trap does not guarantee a selloff. It means the auction high was probed and rejected back inside the range.
A lower trap does not guarantee a rally. It means the auction low was probed and rejected back inside the range.
Accepted movement does not guarantee continuation. It means price has held beyond the auction edge according to the script’s rule set.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not financial advice.
It is not an auto-trading system.
It does not provide guaranteed entry or exit signals.
It is not a standard ORB breakout strategy.
⚠️ Limitations & Transparency
Session settings matter. A poorly selected auction window can produce weak context.
Higher chart timeframes may not capture the opening auction precisely.
Low-liquidity markets may generate misleading wicks.
Gap-heavy markets may require wider interpretation.
The script is designed for intraday auction reading, not long-term chart analysis.
🧠 Market Context Notes
The opening auction is often useful because it reveals early participation, imbalance, and willingness to accept price outside the first range.
Failed extremes can matter because they show where early breakout attempts were rejected.
Acceptance can matter because it shows where the market was willing to continue trading beyond the auction edge.
🧾 Use Case Examples
If price breaks above the auction high but closes back inside the range with a strong upper wick, the script may mark UPPER AUCTION TRAP.
If price breaks below the auction low but closes back inside the range with a strong lower wick, the script may mark LOWER AUCTION TRAP.
If price closes above the auction high for the required number of bars, the script may mark ACCEPT UP.
If price closes below the auction low for the required number of bars, the script may mark ACCEPT DOWN.
🧱 System Philosophy
This script follows a behavior-first approach:
Auction first.
Edge reaction second.
Acceptance third.
Trap risk fourth.
The goal is to reduce blind breakout thinking and encourage structured opening-session interpretation.
🔐 Non-Promise Statement
No script can guarantee outcomes.
No auction edge, trap label, acceptance state, or quality score should be treated as certainty.
The output should always be interpreted with broader structure, liquidity, volatility, and personal risk rules.
📉 Risk Disclosure
Trading involves risk.
Markets can move against any interpretation.
This script is for educational and analytical purposes only.
Users are fully responsible for their own decisions.
📚 Educational Note
Use this script to study how the market behaves around the opening auction and whether early extremes are accepted or rejected.
Indicator
ATH Drawdown modelBest way to use:
On this model, the most useful reclaim alerts are usually L4, L3, and L2, because they often mark recovery from deeper drawdown zones back into improving structure. The cleanest use is on Daily, with 12H or 6H for earlier but still confirmed signals, always based on the completed candle close rather than mid-candle movement.
Clean interpretation:
A simple interpretation rule would be:
>Entered L4/L5: deep drawdown / stress zone.
>Reclaimed L4: early recovery signal.
>Reclaimed L3: stronger improvement in structure.
>Reclaimed L2: recovery gaining real traction
How to interpret “dead” names
Using this model, a name looks more structurally broken when it spends long periods in L4/L5, fails to reclaim those levels on confirmed bar closes, or reclaims them briefly and then loses them again. The Patreon guidance does not define “dead stock” directly, but it does emphasize using confirmed bar-close behavior rather than intrabar noise, so the meaningful signal is not a bounce during the candle — it is whether the level is reclaimed and held at candle close.
Best timeframe
The Patreon post says daily is great, while 12-hour or 6-hour can show direction changes earlier as long as you still confirm on bar close. So a practical setup is daily for your main map, 12H for earlier tactical signals, and 6H only when you want more responsiveness and accept more noise.
NO FINANCIAL ADVICE Indicator
