Candle PlotUsed Linear Regression Candles by ugurvu
Added Regular and Heiken Ashi candles to choices
Added ability to choose timeframe but I find it does not look great when showing higher timeframes
To keep main chart less cluttered, I will add this indicator to my chart and then move a secondary indicator from the chart into it. You will need to pin the scale of the indicator to the scale of the Candle Plot.
Or, you can have the regular chart set to Regular candle and the Candle Plot set to Heiken Ashi or vice versa.
Candlestick analysis
Wyckoff Accumulation / Distribution Detector (v3)🌱 Spring (Bullish Wyckoff Signature)
🧠 Definition
A Spring happens when price dips below a well-defined support level, usually near the end of an accumulation phase, then quickly reverses back above support.
This is not ordinary volatility — it's usually intentional by large operators (“Composite Man”) to:
Trigger stop-losses of weak holders
Create the illusion of a breakdown to scare late sellers in
Absorb all remaining supply at low prices
Launch the next markup leg once weak hands are flushed out
🧭 Typical Spring Characteristics
Feature Behavior
Location Near the bottom of a trading range after a decline
Price Action Temporary breakdown below support, then sharp reversal above
Volume Usually low to average on the break, indicating lack of real selling pressure. Sometimes a volume surge on the reversal as strong hands step in
Candle Often shows a long lower wick, closes back inside the range
Intent Shakeout of weak holders, allow institutions to accumulate more quietly
📈 Why It's Bullish
Springs typically mark the final test of supply. If price can dip below support and immediately recover, it means:
Selling pressure is exhausted (no follow-through)
Strong hands are absorbing remaining shares
A bullish breakout is often imminent
🪤 Upthrust (Bearish Wyckoff Signature)
🧠 Definition
An Upthrust is the mirror image of a Spring. It happens when price pokes above a resistance level, usually near the end of a distribution phase, but then fails to hold above it and falls back inside the range.
This is typically smart money distributing to eager buyers:
Late breakout traders pile in
Institutions sell into that strength
Price collapses back into the range, trapping breakout buyers
🧭 Typical Upthrust Characteristics
Feature Behavior
Location Near the top of a trading range after a rally
Price Action Temporary breakout above resistance, then quick reversal down
Volume Frequently low on the breakout, suggesting a lack of real buying interest — or sometimes high but with no progress, showing hidden selling
Candle Often shows a long upper wick, closes back inside the range
Intent Trap breakout buyers, provide liquidity for institutional sellers to unload near highs
📉 Why It's Bearish
Upthrusts show demand failure and supply swamping:
Buyers cannot sustain the breakout.
The sharp reversal signals large players are exiting.
Typically precedes markdown phases or sharp declines.
📝 Trading Implications
Spring → Often followed by a sign of strength rally → good long entry if confirmed with volume expansion and follow-through.
Upthrust → Often followed by a sign of weakness → short setups, especially if the next rally fails at lower highs.
The script looks for:
🌱 Spring:
Price makes a low below recent pivot support,
Closes back above,
Does so on low volume → likely a shakeout.
🪤 Upthrust:
Price makes a high above recent pivot resistance,
Closes back below,
On low volume → likely a bull trap.
MARITradesGold Indicator A - BUY AND SELL ModelThe MARITrades Gold Indicator A – BOS Model is a professional charting tool designed to help traders visually identify structure breaks (BOS) and potential Fibonacci retracement zones during key market sessions on XAU/USD.
It combines session timing filters, Break of Structure logic, and a WMA160 trend bias to help users study clean continuation or reversal setups with precision.
This indicator is intended for traders who are learning or refining their market structure and session-based gold strategy.
KEY FEATURES AND HOW TO USE
Apply the indicator to XAU/USD on a preferred timeframe
Wait for a Break of Structure (BOS) during valid session hours.
Watch for retracement into 0.5–0.618 Fib levels for possible continuation zones which are marked out with coloured lines. you can edit the colours to your preference
Confirm direction with Moving average160 trend bias.
Use Stop loss and take profit levels for educational visualization — not for direct trade execution.
you can keep the indicator free or lines which optional to view the BUY and SELL signals
📊 BOS Detection: Marks bullish or bearish structure breaks after key levels.
📈 Fibonacci Zones: Auto-calculates retracement zones and gives you signal bias
🕒 Session Filters: Includes Sydney, Asian, London, and New York session timing tools.
🧭 Trend Filter: Moving Average (MA160) helps define directional bias.
🧩 Clean Visualization: retracement zones, and structure markers for chart clarity.
🚨 Optional Alerts: Alerts can be added when structure breaks align with session filters.
ATR-BHEEM-NOCHANGE-CANDLESCandles remain normal — removed barcolor(barCol)
ATR trailing stop line still shows trend direction (green/red)
Optional buy/sell labels added only when trend flips
Clean and ready for intraday 1-min charts
Institutional Orderflow Pro — VWAP, Delta, and Liquidity
Institutional Orderflow Pro is a next-generation order flow analysis indicator designed to help traders identify institutional participation, directional bias, and exhaustion zones in real time.
Unlike traditional volume-based indicators, it merges VWAP dynamics, cumulative delta, relative volume, and liquidity proximity into a single unified dashboard that updates tick-by-tick — without repainting.
The indicator is open-source, transparent, and educational. It aims to provide traders with a clearer read on who controls the market — buyers or sellers — and where liquidity lies.
The indicator combines multiple institutional-grade analytics into one framework:
RVOL (Relative Volume) = Compares current volume against the average of recent bars to identify strong institutional participation.
zΔ (Delta Z-Score) = Normalizes the buying/selling delta to reveal unusually aggressive market behavior.
CVDΔ (Cumulative Volume Delta Change) = Shows which side (buyers/sellers) is dominating this bar’s order flow.
VWAP Direction & Slope = Determines whether price is trading above/below VWAP and whether VWAP is trending or flat.
PD Distance (Prev Day Confluence) = Measures the current price’s distance from previous day’s high, low, close, and VWAP in ATR units — highlighting liquidity zones.
ABS/EXH Detection = Identifies institutional absorption and exhaustion patterns where momentum may reverse.
Bias Computation = Combines VWAP direction + slope to give a simplified regime signal: UP, DOWN, or FLAT.
All metrics are displayed through a color-coded, non-repainting HUD:
🟢 = bullish / favorable conditions
🔴 = bearish / weak conditions
⚫ = neutral / flat
🟡 = absorption (potential trap zone)
🟠 = exhaustion (momentum fading)
| Metric | Signal | Meaning |
| ---------------------- | ------- | ---------------------------------------------- |
| **RVOL ≥ 1.3** | 🟢 | High institutional activity — valid setup zone |
| **zΔ ≥ 1.2 / ≤ -1.2** | 🟢 / 🔴 | Unusual buy/sell aggression |
| **CVDΔ > 0** | 🟢 | Buyers dominate this bar |
| **VWAP dir ↑ / ↓** | 🟢 / 🔴 | Institutional bias long/short |
| **Slope ok = YES** | 🟢 | Trending market |
| **PD dist ≤ 0.35 ATR** | 🟢 | Near key liquidity zones |
| **Bias = UP/DOWN** | 🟢 / 🔴 | Trend-aligned environment |
| **ABS/EXH active** | 🟡 / 🟠 | Caution — possible reversal zone |
How to Use
Confirm Volume Context → RVOL > 1.2
Align with Bias → Take longs only when Bias = UP, shorts only when Bias = DOWN.
Check Slope and VWAP Dir → Ensure trending context (Slope = YES).
Confirm CVD and zΔ → Flow should agree with price direction.
Avoid ABS/EXH Triggers → These signal exhaustion or absorption by large players.
Enter Near PD Zones → Ideal trade zones are within 0.35 ATR of prior-day levels.
This multi-factor confirmation reduces noise and focuses only on high-probability institutional setups.
Originality
This script was written from scratch in Pine v6.
It does not reuse existing public indicators except for standard built-ins (ta.vwap, ta.atr, etc.).
The unique combination of delta z-scoring, VWAP slope filtering, and real-time confluence zones distinguishes it from typical orderflow tools or cumulative delta overlays.
The core innovation is its merged real-time HUD that integrates institutional metrics and natural-language feedback directly on the chart, allowing traders to read market context intuitively rather than decode multiple subplots.
Notes & Disclaimers
This indicator does not repaint.
It’s intended for educational and analytical purposes only — not as financial advice or a guaranteed signal system.
Works best on liquid instruments (Futures, Indices, FX majors).
Avoid non-standard chart types (Heikin Ashi, Renko, etc.) for accurate readings.
Open-source, modifiable, and compatible with Pine v6.
Recommended Use
Apply it with clean charts and standard candles for the best clarity.
Use alongside a basic structure or volume profile to contextualize institutional bias zones.
Author: Dhawal Ranka
Category - Orderflow / VWAP / Institutional Analysis
Version: Pine Script™ v6
License: Open Source (Educational Use)
Sicari Stress Map - Flash Crash / Stabilising Detection EngineA flash crash & stabilisation detection engine measuring volatility compression in 5 min candles printed no matter what timeframe you are on.
Most “flash-crash” legs start with a local stress shock on a small timeframe (5-min works well):
- a burst in true range (high TR percentile),
- short-term vol jumps vs long-term (RV ratio),
- bands expand and price snaps below fast EMA,
- often a quick reflex bid (buy-the-dip) for a few 5-min candles…
…and then the main liquidation leg hits.
This engine keys off that first shock on 5m and bubbles it up to your chart TF as a single FLASHCRASH pulse. Then it watches for Stabilising, when panic fades:
- ATR compresses,
- BB width z goes negative (pinch),
- ranges shrink,
- structure improves (≥ fast EMA by default).
Engulfing Failure & Overlap Zones [HASIB]🧭 Overview
Engulfing Failure & Overlap Zones is a smart price action–based indicator that detects failed engulfing patterns and overlapping zones where potential liquidity traps or reversal setups often occur.
It’s designed to visually highlight both bullish and bearish failed engulfing areas with clean labels and zone markings, making it ideal for traders who follow Smart Money Concepts (SMC) or price action–driven trading.
⚙️ Core Concept
Engulfing patterns are powerful reversal signals — but not all of them succeed.
This indicator identifies:
When a Buy Engulfing setup fails and overlaps with a Sell Engulfing zone, and
When a Sell Engulfing setup fails and overlaps with a Buy Engulfing zone.
These overlapping areas often represent liquidity grab zones, reversal points, or Smart Money manipulation levels.
🎯 Key Features
✅ Detects both Buy and Sell Engulfing Failures
✅ Highlights Overlapping (OL) zones with colored rectangles
✅ Marks Buy EG OL / Sell EG OL labels automatically
✅ Fully customizable visuals — colors, padding, and zone styles
✅ Optimized for both scalping and swing trading
✅ Works on any timeframe and any instrument
⚡ How It Helps
Identify liquidity traps before reversals happen
Visually see Smart Money overlap zones between opposing engulfing structures
Strengthen your entry timing and confirmation zones
Combine with your own SMC or ICT-based trading setups for higher accuracy
📊 Recommended Use
Use on higher timeframes (e.g., M15, H1, H4) to confirm major liquidity zones.
Use on lower timeframes (e.g., M1–M5) for precision entries inside the detected zones.
Combine with tools like Order Blocks, Break of Structure (BOS), or Fair Value Gaps (FVG).
🧠 Pro Tip
When a failed engulfing overlaps with an opposite engulfing zone, it often signals market maker intent to reverse price direction after liquidity has been taken. Watch these zones closely for strong reaction candles.
MAX TRADEA professional smart trading indicator built for precision and profitability.
It automatically detects market structure breaks, trendline breaches, and Fibonacci zones to generate high-probability BUY and SELL signals.
Optimized for XAU/USD and crypto pairs, it works best on lower timeframes (M1–M15).
BRIMSTONE SESSION INDICATOR🧭 Brimstone Session Indicator
Brimstone Session Indicator highlights global trading sessions (Asia, London/Frankfurt, New York) and key Kill Zones, showing when real liquidity and volatility enter the market.
⸻
🔍 Why It’s Useful
Markets move in time cycles, not just price.
This tool makes institutional timing visible — so you instantly see:
• Session ranges & volatility shifts
• Liquidity grabs and reversals in Kill Zones
• Perfect timing for precision entries (ICT / SMC style)
⸻
⚔️ Kill Zones
Fully customizable timing windows for liquidity hunts, stop raids, and engineered moves — where the market is most likely to attack highs/lows.
⸻
🎯 Built For
• ICT / Smart Money Traders
• Intraday scalpers & bias traders
• Anyone who trades price + time, not price alone
BRIMSTONE SESSION INDICATOR🧭 Brimstone Session Indicator
Brimstone Session Indicator highlights global trading sessions (Asia, London/Frankfurt, New York) and key Kill Zones, showing when real liquidity and volatility enter the market.
⸻
🔍 Why It’s Useful
Markets move in time cycles, not just price.
This tool makes institutional timing visible — so you instantly see:
• Session ranges & volatility shifts
• Liquidity grabs and reversals in Kill Zones
• Perfect timing for precision entries (ICT / SMC style)
⸻
⚔️ Kill Zones
Fully customizable timing windows for liquidity hunts, stop raids, and engineered moves — where the market is most likely to attack highs/lows.
⸻
🎯 Built For
• ICT / Smart Money Traders
• Intraday scalpers & bias traders
• Anyone who trades price + time, not price alone
Percentage Move Over N CandlesThis strategy enters long/short trades if the price goes up/down by a certain defined percentage of the price, over a previous certain number of candles. Can be run on any time frame and on any instrument and alerts can be enabled.
1W Overlay (triss)Overlay of the Weekly candle, simple one color with a line inside the candle to show direction.
1D Overlay (triss)Overlay of the Daily candle, simple one color with a line inside the candle to show direction.
4H Overlay (triss)Overlay of the 4 Hour candle, simple one color with a line inside the candle to show direction.
scalping signals 1 min xauusd + eurusd v2Transform Your 1-Minute Scalping with Precision Entry Signals
RSI Signals EUR/USD is a cutting-edge scalping indicator specifically optimized for EUR/USD on the 1-minute timeframe. Designed for active traders seeking quick profits from micro-movements, this indicator delivers crystal-clear entry signals with automatic Stop Loss and Take Profit levels.
What This Indicator Does
🎯 Smart Entry Signals
Get instant visual alerts when high-probability trading opportunities arise. The indicator identifies multiple types of reversal patterns and momentum shifts, displaying clear labels directly on your chart so you never miss a trade.
🎨 Color-Coded Candles
Candlesticks automatically change color based on active signals, making it effortless to track your current position at a glance. Each signal type has its unique color, eliminating confusion in fast-moving markets.
📊 Automatic Risk Management
Every signal comes with pre-calculated Stop Loss and Take Profit levels displayed as dynamic horizontal lines that extend across your chart. Set and forget - no more manual calculations or guesswork.
🎚️ Multiple Take Profit Targets
Maximize your profits with three progressive TP levels (TP1, TP2, TP3) based on optimal risk-reward ratios. Scale out of positions strategically as price moves in your favor.
🛡️ Intelligent Signal Management
When a Stop Loss is triggered, all visual indicators automatically disappear, and candle colors reset until the next fresh signal appears. This keeps your chart clean and focused on what matters.
⚡ Built for Speed
Specifically calibrated for EUR/USD volatility and spread characteristics, ensuring signals are actionable in real-time without lag or repainting.
Good For
Scalpers targeting 5-15 pip moves
Day traders looking for quick in-and-out opportunities
Forex traders focused on EUR/USD pair
Traders who value clear visual cues over complex analysis
Engulfing Detector [HASIB]Description:
Engulfing Detector is a clean and powerful candlestick pattern indicator designed to automatically detect Bullish and Bearish Engulfing setups on any chart and any timeframe.
This tool helps traders easily spot reversal zones and potential trend continuation entries by highlighting high-probability engulfing candles with clear visual signals.
🔹 Features:
Detects both Bullish and Bearish Engulfing patterns in real time
Works on all timeframes and all assets (Forex, Crypto, Stocks, Indices)
Customizable color alerts for bullish and bearish signals
Lightweight, fast, and optimized for smooth performance
Perfect for price action traders and candlestick strategy lovers
📈 Created with precision and simplicity by Hasib, for traders who love clarity and confidence in their charts.
HELAL TRICKS FOREX NY TimeThe indicator marks the New York session opening candle at 9:30 AM (New York time), drawing horizontal lines at its high and low. These levels remain visible until 7:00 PM, helping traders identify key breakout and reversal zones during the most volatile session of the day. Developed by Helal – Tricks Forex, this tool simplifies New York session analysis for smarter intraday trading decisions.
༒LIQUIDITY༒ 🧠 Indicator Description: ༒LIQUIDITY༒
The ༒LIQUIDITY༒ indicator visualizes a dynamic liquidity and liquidation level heatmap based on changes in Open Interest (OI) from Binance futures markets.
It highlights precise areas where clusters of leveraged LONG and SHORT positions are likely to be liquidated, offering traders a clear view of liquidity zones.
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⚙️ Key Features:
📉 Liquidity Heatmap: Displays potential liquidation levels derived from Open Interest data.
⚡ Three customizable leverage levels to detect high and low liquidation ranges.
🧩 Intrabar resolution control for multi-timeframe analysis (1m, 5m, 15m, etc.).
🎚️ Signal filtering (optional): Focus on significant Open Interest spikes only.
🎨 Progressive color gradient: Colors change according to contract size, creating a clear heatmap of risk clusters.
🔔 Built-in alerts when LONG or SHORT clusters get swept by price action.
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🧭 How to Read It:
Green/Yellow zones: Indicate areas with a high concentration of LONG liquidations, potential downside liquidity targets.
Blue/Purple zones: Show SHORT liquidation clusters, often acting as upside liquidity targets.
The more intense the color, the greater the contract volume at that price level.
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💡 Usage Tips:
Best combined with Smart Money Concepts (SMC) tools, Order Blocks, or Fair Value Gaps (FVG).
Recommended for timeframes between 5 minutes and 1 hour for optimal clarity and performance.
Adjust the scale and dispersion factor to fine-tune the map’s precision and visual clarity.
Multi-Indicator Divergence Detector ProMulti-Indicator Divergence Detector Pro - High Quality Filter System
Overview
This advanced divergence detection tool identifies high-probability reversal opportunities by simultaneously analyzing 11 technical indicators with an intelligent quality scoring system. Unlike traditional divergence detectors that generate excessive false signals, this indicator filters divergences based on professional trading criteria to focus only on significant trend reversals.
What Makes This Original
Quality Scoring System (10-point scale): Each divergence is evaluated across 7 professional criteria including RSI extreme zones, volume confirmation, price deviation from moving averages, ATR volatility filter, and trend strength analysis
Core Indicator Weighting: Prioritizes divergences from the most reliable indicators (RSI, MACD, OBV) with additional scoring when multiple core indicators align
Customizable Filter Thresholds: Traders can adjust minimum quality scores (recommended 4-6) and individual filter parameters to match their trading style
Multi-Indicator Resonance Detection: Identifies when 3+ indicators simultaneously show divergence, significantly improving signal reliability
Key Features
Detects both regular and hidden divergences across 11 indicators: MACD, MACD Histogram, RSI, Stochastic, CCI, Momentum, OBV, VWmacd, Chaikin Money Flow, MFI, and external indicators
Real-time quality score display on chart labels (⭐ rating system)
Dedicated high-quality divergence alerts for significant signals
Configurable pivot point detection and maximum bar lookback
Clean visual presentation with customizable line styles and colors
Built on Pine Script v6 for optimal performance
How It Works
The indicator scans price action and technical indicators for divergence patterns where price makes a new high/low but the indicator fails to confirm. The quality filter then evaluates each divergence using multiple criteria:
RSI Extreme Zones (+2 points): Divergences in overbought (>70) or oversold (<30) regions are weighted higher
Volume Confirmation (+1 point): Requires volume expansion above 1.5x the 20-period average
Price Deviation (+1 point): Price must be significantly distant from MA50 (default 8%+)
Core Indicator Weight (+2 points): When RSI, MACD, and OBV show alignment
ATR Volatility (+1 point): Price movement exceeds 1.5x ATR threshold
Trend Strength (+1 point): Strong trending conditions increase reversal significance
Multi-Indicator Resonance (+1 point): 4+ indicators showing divergence simultaneously
How to Use
Apply indicator to your chart
Enable "High Quality Divergence Filter" in settings
Set minimum quality score (4 = balanced, 6 = conservative, 3 = aggressive)
Bullish divergences appear below price with upward labels
Bearish divergences appear above price with downward labels
Quality scores display as ⭐ ratings when enabled
Configure alerts for high-quality divergence notifications
Recommended Settings
Conservative Mode: Min score 6, enable all filters, 3+ indicator minimum
Balanced Mode: Min score 4 (default), standard thresholds
Aggressive Mode: Min score 3, 2+ indicator minimum
Best Practices
Use on daily or 4-hour timeframes for most reliable signals
Combine with price action confirmation (candlestick patterns, support/resistance)
Higher quality scores (6+) typically precede stronger reversals
RSI extreme zone divergences are particularly powerful at major turning points
Consider the broader market context and trend
Important Notes
This indicator is designed to identify potential reversals in established trends. It works best when strong trends show signs of exhaustion. Past performance does not guarantee future results. Always use proper risk management and confirm signals with additional analysis.
Title: Multi-Indicator Divergence Detector Pro (Quality Filter)
Category: Oscillators
Tags: divergence, RSI, MACD, OBV, reversal, quality-filter, multi-indicator, trend-reversal
REQH/L [TakingProphets]OVERVIEW
This indicator identifies and maintains liquidity reference levels derived from swing highs and swing lows, then flags Relative Equal Highs (REQH) and Relative Equal Lows (REQL) when two active levels are within a user-defined distance.
It is intended for educational study of liquidity behavior and market structure. It does not predict price, provide signals, or recommend trades.
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PURPOSE AND SCOPE
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• Provide a consistent, rule-based way to mark possible equal-high/equal-low liquidity pools.
• Help users journal, review, and study how price interacts with those pools.
• Keep charts clear by automatically managing lines/labels and optionally fading traded-through levels.
This is an indicator, not a strategy. No entries, exits, or performance claims are made.
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CONCEPTS AND DEFINITIONS
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• Swing High / Swing Low: local extrema used to seed candidate liquidity levels.
• Buyside Liquidity (BSL): swing highs (potential buy-side stops).
• Sellside Liquidity (SSL): swing lows (potential sell-side stops).
• Relative Equal Highs (REQH): two unswept highs within a small price distance.
• Relative Equal Lows (REQL): two unswept lows within a small price distance.
• Traded-Through: a level is considered taken once price trades past it (high > level for BSL, low < level for SSL).
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HOW IT WORKS (ALGORITHMIC FLOW)
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Swing Detection
• Uses built-in pivot functions with a fixed swingStrength = 1.
• On a confirmed pivot high, a BSL level is created; on a pivot low, an SSL level is created.
• Each level stores: price, bar index, line handle, label handle, and status flags.
REQH / REQL Identification
• A constant REQ_THRESHOLD = 2.0 is used to test proximity between active levels of the same side.
• For BSL (highs): when two highs are within threshold, the higher level is kept and flagged REQH; the other is removed.
• For SSL (lows): when two lows are within threshold, the lower level is kept and flagged REQL; the other is removed.
• When a level is flagged, its line is revealed in side color and its label updates to “REQH” or “REQL”.
Traded-Through Handling
• If price trades through an active level (high > BSL price, or low < SSL price), two behaviors are possible:
– If Keep Traded-Through Levels = OFF: the level is deleted.
– If ON: the level is marked traded, its color is faded (opacity ≈ 75), and the line’s extension is frozen at the trade-through bar.
Line/Label Maintenance
• Lines are created initially invisible (fully transparent). Flagging reveals the line in color.
• Labels can be shown/hidden; placement can be Left (at level start, with left offset) or Right (at current bar, with right offset).
• All active lines extend to the right as bars progress.
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KEY INPUTS
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• Buyside Level Color (default #089981)
• Sellside Level Color (default #E91E63)
• Line Style (Solid / Dashed / Dotted) and Width
• Show Labels (on/off), Label Placement (Left/Right)
• Keep Traded-Through Levels (on/off), Traded Opacity (~75)
• REQ Threshold (fixed in code at 2.0 by default; represents the max distance between two levels to be considered “relative equal”)
Note: In this version, swingStrength is fixed to 1 inside the script. If you want a user control here, I can expose it as an input.
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PRACTICAL USAGE
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• Identify potential equal-high/equal-low zones using objective proximity logic.
• Observe if those zones attract price or are traded through during your session study.
• Journal how often flagged REQH/REQL zones remain intact versus get swept.
• Combine with your own analysis and risk framework; this script is informational only.
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VISUAL BEHAVIOR AND STYLE
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• Flagged levels are plotted in side color (buyside/sellside).
• Right-placement keeps labels aligned near the most recent bar for clarity; Left-placement anchors labels near the origin index.
• When keep-traded-levels is enabled, faded color indicates the level has been traded through, while preserving the historical reference.
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LIMITATIONS AND TECHNICAL NOTES
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• Timeframe and symbol volatility will influence the usefulness of a fixed REQ threshold. For very high-priced or low-priced instruments, consider adjusting the threshold in code to suit your market’s tick/point value.
• Using swingStrength = 1 introduces more sensitivity; users who prefer fewer, stronger pivots may wish to expose this as an input and increase it.
• No look-ahead is used; pivots are confirmed using standard pivot confirmation.
• Arrays and line/label objects are bounded by max_lines_count = 500; extremely long sessions or dense markets may require reducing visual retention.
• The script does not compute performance, signals, or recommendations.
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ORIGINALITY AND VALUE
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• Implements a simple, explicit REQ proximity engine that only reveals and labels lines after they qualify as REQH/REQL, keeping charts clean.
• Provides deterministic deletion or fading behavior once levels are traded through, preserving historical context when desired.
• Uses a clear line/label management model with consistent right-extension and optional label offsets to avoid overlap.
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TERMS AND DISCLAIMER
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This indicator is provided solely for educational and informational purposes.
It does not constitute financial advice, trading signals, or a recommendation to buy or sell any instrument.
Past behavior of price structures does not guarantee future results.
Users are fully responsible for their own decisions and outcomes.
This description is self-contained and does not solicit purchases or external contact.
Universal Regime Alpha Thermocline StrategyCurrents settings adapted for BTCUSD Daily timeframe
This description is written to comply with TradingView House Rules and Script Publishing Rules. It is self contained, in English first, free of advertising, and explains originality, method, use, defaults, and limitations. No external links are included. Nothing here is investment advice.
0. Publication mode and rationale
This script is published as Protected . Anyone can add and test it from the Public Library, yet the source code is not visible.
Why Protected
The engine combines three independent lenses into one regime score and then uses an adaptive centering layer and a thermo risk unit that share a common AAR measure. The exact mapping and interactions are the result of original research and extensive validation. Keeping the implementation protected preserves that work and avoids low effort clones that would fragment feedback and confuse users.
Protection supports a single maintained build for users. It reduces accidental misuse of internal functions outside their intended context which might lead to misleading results.
1. What the strategy does in one paragraph
Universal Regime Alpha Thermocline builds a single number between zero and one that answers a practical question for any market and timeframe. How aligned is current price action with a persistent directional regime right now. To answer this the script fuses three views of the tape. Directional entropy of up versus down closes to measure unanimity.
Convexity drift that rewards true geometric compounding and penalizes drag that comes from chop where arithmetic pace is high but growth is poor.
Tail imbalance that counts decisive bursts in one direction relative to typical bar amplitude. The three channels are blended, optionally confirmed by a higher timeframe, and then adaptively centered to remove local bias. Entries fire when the score clears an entry gate. Exits occur when the score mean reverts below an exit gate or when thermo stops remove risk. Position size can scale with the certainty of the signal.
2. Why it is original and useful
It mixes orthogonal evidence instead of leaning on a single family of tools. Many regime filters depend on moving averages or volatility compression. Here we add an information view from entropy, a growth view from geometric drift, and a structural view from tail imbalance.
The drift channel separates growth from speed. Arithmetic pace can look strong in whipsaw, yet geometric growth stays weak. The engine measures both and subtracts drag so that only sequences with compounding quality rise.
Tail counting is anchored to AAR which is the average absolute return of bars in the window. This makes the threshold self scaling and portable across symbols and timeframes without hand tuned constants.
Adaptive centering prevents the score from living above or below neutral for long stretches on assets with strong skew. It recovers neutrality while still allowing persistent regimes to dominate once evidence accumulates.
The same AAR unit used in the signal also sets stop distance and trail distance. Signal and risk speak the same language which makes the method portable and easier to reason about.
3. Plain language overview of the math
Log returns . The base series is r equal to the natural log of close divided by the previous close. Log return allows clean aggregation and makes growth comparisons natural.
Directional entropy . Inside the lookback we compute the proportion p of bars where r is positive. Binary entropy of p is high when the mix of up and down closes is balanced and low when one direction dominates. Intensity is one minus entropy. Directional sign is two times p minus one. The trend channel is zero point five plus one half times sign times intensity. It lives between zero and one and grows stronger as unanimity increases.
Convexity drift with drag . Arithmetic mean of r measures pace. Geometric mean of the price ratio over the window measures compounding. Drag is the positive part of arithmetic minus geometric. Drift raw equals geometric minus drag multiplier times drag. We then map drift through an arctangent normalizer scaled by AAR and a nonlinearity parameter so the result is stable and remains between zero and one.
Tail imbalance . AAR equals the average of the absolute value of r in the window. We count up tails where r is greater than aar_mult times AAR and down tails where r is less than minus aar_mult times AAR. The imbalance is their difference over their total, mapped to zero to one. This detects directional impulse flow.
Fusion and centering . A weighted average of the three channels yields the raw score. If a higher timeframe is requested, the same function is executed on that timeframe with lookahead off and blended with a weight. Finally we subtract a fraction of the rolling mean of the score to recover neutrality. The result is clipped to the zero to one band.
4. Entries, exits, and position sizing
Enter long when score is strictly greater than the entry gate. Enter short when score is strictly less than one minus the entry gate unless direction is restricted in inputs.
Exit a long when score falls below the exit gate. Exit a short when score rises above one minus the exit gate.
Thermo stops are expressed in AAR units. A long uses the maximum of an initial stop sized by the entry price and AAR and a trail stop that references the running high since entry with a separate multiple. Shorts mirror this with the running low. If the trail is disabled the initial stop is active.
Cooldown is a simple bar counter that begins when the position returns to flat. It prevents immediate re entry in churn.
Dynamic position size is optional. When enabled the order percent of equity scales between a floor and a cap as the score rises above the gate for longs or below the symmetric gate for shorts.
5. Inputs quick guide with recommended ranges
Every input has a tooltip in the script. The same guidance appears here for fast reading.
Core window . Shared lookback for entropy, drift, and tails. Start near 80 on daily charts. Try 60 to 120 on intraday and 80 to 200 for swing.
Entry threshold . Typical range 0.55 to 0.65 for trend following. Faster entries 0.50 to 0.55.
Exit threshold . Typical range 0.35 to 0.50. Lower holds longer yet gives back more.
Weight directional entropy . Starting value 0.40. Raise on markets with clean persistence.
Weight convexity drift . Starting value 0.40. Raise when compounding quality is critical.
Weight tail imbalance . Starting value 0.20. Raise on breakout prone markets.
Tail threshold vs AAR . Typical range 1.0 to 1.5 to count decisive bursts.
Drag penalty . Typical range 0.25 to 0.75. Higher punishes chop more.
Nonlinearity scale . Typical range 0.8 to 2.0. Larger compresses extremes.
AAR floor in percent . Typical range 0.0005 to 0.002 for liquid instruments. This stabilizes the math during quiet regimes.
Adaptive centering . Keep on for most symbols. Center strength 0.40 to 0.70.
Confirm timeframe optional . Leave empty to disable. If used, try a multiple between three and five of the chart timeframe with a blend weight near 0.20.
Dynamic position size . Enable if you want size to reflect certainty. Floor and cap define the percent of equity band. A practical band for many accounts is 0.5 to 2.
Cooldown bars after exit . Start at 3 on daily or slightly higher on shorter charts.
Thermo stop multiple . Start between 1.5 and 3.0 on daily. Adjust to your tolerance and symbol behavior.
Thermo trailing stop and Trail multiple . Trail on locks gains earlier. A trail multiple near 1.0 to 2.0 is common. You can keep trail off and let the exit gate handle exits.
Background heat opacity . Cosmetic. Set to taste. Zero disables it.
6. Properties used on the published chart
The example publication uses BTCUSD on the daily timeframe. The following Properties and inputs are used so everyone can reproduce the same results.
Initial capital 100000
Base currency USD
Order size 2 percent of equity coming from our risk management inputs.
Pyramiding 0
Commission 0.05 percent
Slippage 10 ticks in the publication for clarity. Users should introduce slippage in their own research.
Recalculate after order is filled off. On every tick off.
Using bar magnifier on. On bar close on.
Risk inputs on the published chart. Dynamic position size on. Size floor percent 2. Size cap percent 2. Cooldown bars after exit 3. Thermo stop multiple 2.5. Thermo trailing stop off. Trail multiple 1.
7. Visual elements and alerts
The score is painted as a subtle dot rail near the bottom. A background heat map runs from red to green to convey regime strength at a glance. A compact HUD at the top right shows current score, the three component channels, the active AAR, and the remaining cooldown. Four alerts are included. Long Setup and Short Setup on entry gates. Exit Long by Score and Exit Short by Score on exit gates. You can disable trading and use alerts only if you want the score as a risk switch inside a discretionary plan.
8. How to reproduce the example
Open a BTCUSD daily chart with regular candles.
Add the strategy and load the defaults that match the values above.
Set Properties as listed in section 6.(they are set by default) Confirm that bar magnifier is on and process on bar close is on.
Run the Strategy Tester. Confirm that the trade count is reasonable for the sample. If the count is too low, slightly lower the entry threshold or extend history. If the count is excessively high, raise the threshold or add a small cooldown.
9. Practical tuning recipes
Trend following focus . Raise the entry threshold toward 0.60. Raise the trend weight to 0.50 and reduce tail weight to 0.15. Keep drift near 0.35 to retain the growth filter. Consider leaving the trail off and let the exit threshold manage positions.
Breakout focus . Keep entry near 0.55. Raise tail weight to 0.35. Keep aar_mult near 1.3 so only decisive bursts count. A modest cooldown near 5 can reduce immediate false flips after the first burst bar.
Chop defense . Raise drag multiplier to 0.70. Raise exit threshold toward 0.48 to recycle capital earlier. Consider a higher cooldown, for example 8 to 12 on intraday.
Higher timeframe blend . On a daily chart try a weekly confirm with a blend near 0.20. On a five minute chart try a fifteen minute confirm. This moderates transitions.
Sizing discipline . If you want constant position size, set floor equal to cap. If you want certainty scaling, set a band like 0.5 to 2 and monitor drawdown behavior before widening it.
10. Strengths and limitations
Strengths
Self scaling unit through AAR makes the tool portable across markets and timeframes.
Blends evidence that target different failure modes. Unanimity, growth quality, and impulse flow rarely agree by chance which raises confidence when they align.
Adaptive centering reduces structural bias at the score level which helps during regime flips.
Limitations
In very quiet regimes AAR becomes small even with a floor. If your symbol is thin or gap prone, raise the floor a little to keep stops and drift mapping stable.
Adaptive centering can delay early breakout acceptance. If you miss starts, lower center strength or temporarily disable centering while you evaluate.
Tail counting uses a fixed multiple of AAR. If a market alternates between very calm and very violent weeks, a single aar_mult may not capture both extremes. Sweep this parameter in research.
The engine reacts to realized structure. It does not anticipate scheduled news or liquidity shocks. Use event awareness if you trade around releases.
11. Realism and responsible publication
No promises or projections of performance are made. Past results never guarantee future outcomes.
Commission is set to 0.05 percent per round which is realistic for many crypto venues. Adjust to your own broker or exchange.
Slippage is set at 10 in the publication . Introduce slippage in your own tests or use a percent model.
Position size should respect sustainable risk envelopes. Risking more than five to ten percent per trade is rarely viable. The example uses a fixed two percent position size.
Security calls use lookahead off. Standard candles only. Non standard chart types like Heikin Ashi or Renko are not supported for strategies that submit orders.
12. Suggested research workflow
Begin with the balanced defaults. Confirm that the trade count is sensible for your timeframe and symbol. As a rough guide, aim for at least one hundred trades across a wide sample for statistical comfort. If your timeframe cannot produce that count, complement with multiple symbols or run longer history.
Sweep entry and exit thresholds on a small grid and observe stability. Stability across windows matters more than the single best value.
Try one higher timeframe blend with a modest weight. Large weights can drown the signal.
Vary aar_mult and drag_mult together. This tunes the aggression of breakouts versus defense in chop.
Evaluate whether dynamic size improves risk adjusted results for your style. If not, set floor equal to cap for constancy.
Walk forward through disjoint segments and inspect results by regime. Bootstrapping or segmented evaluation can reveal sensitivity to specific periods.
13. How to read the HUD and heat map
The HUD presents a compact view. Score is the current fused value. Trend is the directional entropy channel. Drift is the compounding quality channel. Tail is the burst flow channel. AAR is the current unit that scales stops and the drift map. CD is the cooldown counter. The background heat is a visual aid only. It can be disabled in inputs. Green zones near the upper band show alignment among the channels. Muted colors near the mid band show uncertainty.
14. Frequently asked questions
Can I use this as a pure indicator . Yes. Disable entries by restricting direction to one side you will not trade and use the alerts as a regime switch.
Will it work on intraday charts . Yes. The AAR unit scales with bar size. You will likely reduce the core window and increase cooldown slightly.
Should I enable the adaptive trail . If you wish to lock gains sooner and accept more exits, enable it. If you prefer to let the exit gate do the heavy lifting, keep it off.
Why do I sometimes see a green background without a position . Heat expresses the score. A position also depends on threshold comparisons, direction mode, and cooldown.
Why is Order size set to one hundred percent if dynamic size is on . The script passes an explicit quantity percent on each entry. That explicit quantity overrides the property. The property is kept at one hundred percent to avoid confusion when users later disable dynamic sizing.
Can I combine this with other tools on my chart . You can, yet for publication the chart is kept clean so users and moderators can see the output clearly. In your private workspace feel free to add other context.
15. Concepts glossary
AAR . Average absolute return across the lookback. Serves as a unit for tails, drift scaling, and stops.
Directional entropy . A measure of uncertainty of up versus down closes. Low entropy paired with a directional sign signals unanimity.
Geometric mean growth . Rate that preserves the effect of compounding over many bars.
Drag . The positive difference between arithmetic pace and geometric growth. Larger drag often signals churn that looks active but fails to compound.
Thermo stops . Stops expressed in the same AAR unit as the signal. They adapt with volatility and keep risk and signal on a common scale.
Adaptive centering . A bias correction that recenters the fused score around neutral so the meter does not drift due to persistent skew.
16. Educational notice and risk statement
Markets involve risk. This publication is for education and research. It does not provide financial advice and it is not a recommendation to buy or sell any instrument. Use realistic costs. Validate ideas with out of sample testing and with conservative position sizing. Past performance never guarantees future results.
17. Final notes for readers and moderators
The goal of this strategy is clarity and portability. Clarity comes from a single score that reflects three independent features of the tape. Portability comes from self scaling units that respect structure across assets and timeframes. The publication keeps the chart clean, explains the math plainly, lists defaults and Properties used, and includes warnings where care is required. The code is protected so the implementation remains consistent for the community while the description remains complete enough for users to understand its purpose and for moderators to evaluate originality and usefulness. If you explore variants, keep them self contained, explain exactly what they contribute, publish in English first, and treat others with respect in the comments.
Load the strategy on BTCUSD daily with the defaults listed above and study how the score transitions across regimes. Then adjust one lever at a time. Observe how the trend channel, the drift channel, and the tail channel interact during starts, pauses, and reversals. Use the alerts as a risk switch inside your own process or let the built in entries and exits run if you prefer an automated study. The intent is not to promise outcomes. The intent is to give you a robust meter for regime strength that travels well across markets and helps you structure decisions with more confidence.
Thank you for your time to read all of this






















