Signal Architect Stop-Hunt !GC. 15 MIN. 1.12.2026 . AM SESSIONSignal Architect™ — Developer Note
These daily posts are intentional.
They are designed to help potential users visually observe consistency—not just in outcomes, but in process—across multiple futures products, market conditions, and timeframes, using the Stop Hunt Indicator alongside my proprietary Signal Architect™ framework.
The goal is simple:
To show how structure, behavior, and probability repeat—every day—despite a constantly changing market.
If you follow these posts over time, you will begin to recognize that:
• The same behaviors appear across different futures contracts
• The same reactions occur on multiple timeframes
• The same structural traps and stop events repeat regardless of volatility regime
That consistency is not coincidence.
Consistency is the signal.
Over time, that consistency should become familiar—
and familiarity should become your edge.
________________________________________
🧠 What You’re Seeing (And Why It Matters)
This indicator includes a limited visual preview of a proprietary power signal I have personally developed and refined across:
• Futures
• Algorithmic trading systems
• Options structure
• Equity market behavior
Every tool I release is built around one core principle:
Clarity of direction without over-promising or over-fitting.
That is why all Signal Architect™ tools emphasize:
• Market structure first
• High-probability directional context
• Clear, visual risk framing
• No predictive claims
• No curve-fit illusions
What you see publicly is not the full system—only controlled, educational previews meant to demonstrate how structure and probability align in real markets.
________________________________________
📊 Background & Scope
Over the years, I have personally developed 800+ programs, including:
• Equity systems
• Futures strategies
• Options structure tools
• Dividend & income frameworks
• Portfolio construction and allocation logic
This includes 40+ Nasdaq-100 trading bots, several operating under extremely strict rule-sets and controlled deployment conditions.
Nothing shared publicly represents my complete internal framework.
Public posts exist for education, observation, and pattern recognition—not signals, not advice, and not promises.
________________________________________
🤝 For Those Who Find Value
If these daily posts help you see the market more clearly:
• Follow, boost, and share my scripts, Ideas, and MINDS posts
• Feel free to message me directly with questions or build requests
• Constructive feedback and collaboration are always welcome
For traders who want to go deeper, optional memberships may include:
• Additional signal access
• Early previews
• Occasional free tools and upgrades
🔗 Membership & Signals:
trianchor.gumroad.com
________________________________________
⚠️ Final Note
Everything published publicly is educational and analytical only.
Markets carry risk.
Discipline, patience, and risk management always come first.
Watch the consistency.
Study the structure.
Let the market repeat itself.
— Signal Architect™
________________________________________
🔗 Personally Developed GPT Tools
• AuctionFlow GPT
chatgpt.com
• Signal Architect™ Gamma Desk – Market Intelligence
chatgpt.com
• Gamma Squeeze Watchtower™
chatgpt.com
Futures
Signal Architect Stop-Hunt GOLD 5MINSignal Architect™ — Developer Note
These daily posts are intentional.
They are designed to help potential users visually observe consistency—not just in outcomes, but in process—across multiple futures products, market conditions, and timeframes, using the Stop Hunt Indicator alongside my proprietary Signal Architect™ framework.
The goal is simple:
To show how structure, behavior, and probability repeat—every day—despite a constantly changing market.
If you follow these posts over time, you will begin to recognize that:
• The same behaviors appear across different futures contracts
• The same reactions occur on multiple timeframes
• The same structural traps and stop events repeat regardless of volatility regime
That consistency is not coincidence.
Consistency is the signal.
Over time, that consistency should become familiar—
and familiarity should become your edge.
________________________________________
🧠 What You’re Seeing (And Why It Matters)
This indicator includes a limited visual preview of a proprietary power signal I have personally developed and refined across:
• Futures
• Algorithmic trading systems
• Options structure
• Equity market behavior
Every tool I release is built around one core principle:
Clarity of direction without over-promising or over-fitting.
That is why all Signal Architect™ tools emphasize:
• Market structure first
• High-probability directional context
• Clear, visual risk framing
• No predictive claims
• No curve-fit illusions
What you see publicly is not the full system—only controlled, educational previews meant to demonstrate how structure and probability align in real markets.
________________________________________
📊 Background & Scope
Over the years, I have personally developed 800+ programs, including:
• Equity systems
• Futures strategies
• Options structure tools
• Dividend & income frameworks
• Portfolio construction and allocation logic
This includes 40+ Nasdaq-100 trading bots, several operating under extremely strict rule-sets and controlled deployment conditions.
Nothing shared publicly represents my complete internal framework.
Public posts exist for education, observation, and pattern recognition—not signals, not advice, and not promises.
________________________________________
🤝 For Those Who Find Value
If these daily posts help you see the market more clearly:
• Follow, boost, and share my scripts, Ideas, and MINDS posts
• Feel free to message me directly with questions or build requests
• Constructive feedback and collaboration are always welcome
For traders who want to go deeper, optional memberships may include:
• Additional signal access
• Early previews
• Occasional free tools and upgrades
🔗 Membership & Signals:
trianchor.gumroad.com
________________________________________
⚠️ Final Note
Everything published publicly is educational and analytical only.
Markets carry risk.
Discipline, patience, and risk management always come first.
Watch the consistency.
Study the structure.
Let the market repeat itself.
— Signal Architect™
________________________________________
🔗 Personally Developed GPT Tools
• AuctionFlow GPT
chatgpt.com
• Signal Architect™ Gamma Desk – Market Intelligence
chatgpt.com
• Gamma Squeeze Watchtower™
chatgpt.com
Delta Hedging Pressure📊 COT Delta Hedging Pressure – Institutional Sentiment Indicator
This indicator visualizes institutional hedging pressure by aggregating delta-style positioning into a clean, session-aware sentiment framework.
Instead of guessing direction, it shows who is likely hedging vs. pressing, helping traders align intraday execution with higher-timeframe positioning.
🔍 What This Indicator Does
Calculates cumulative hedging pressure using price-based delta logic
Classifies market state into:
Bullish (positive hedge pressure)
Bearish (negative hedge pressure)
Neutral (balanced flow)
Resets cleanly by session or user-defined period
Visualizes sentiment using:
Background shading
Labels
Cumulative plots
🧠 How Traders Use It
Directional bias filter (trade only with sentiment)
Context for FVGs, liquidity raids, and pullbacks
Avoids chop by identifying neutral hedge conditions
Pairs especially well with:
XAUUSD
Index CFDs
Futures / CFD hybrids
⚙️ Key Features
Session-aware cumulative logic
Adjustable sensitivity and lookback
Clean visual design (no clutter)
Non-repainting calculations
Works on 1m → HTF
⚠️ Important Notes
This is a context tool, not a signal generator
Best used alongside price structure and risk management
Designed for discipline and alignment, not overtrading
🎯 Ideal For
Scalpers & intraday traders
Traders using:
Fair Value Gaps (FVG)
Liquidity sweeps
Session-based models
Traders transitioning from prop logic to personal capital
🧩 Final Thought
This indicator answers one question:
“Is the market hedging or pressing — and should I be aggressive or patient?”
If you trade with structure, this keeps you on the right side.
Signal Architect Stop-Hunt Signal Architect™ — Developer Note
These daily posts are intentional.
They are designed to help potential users visually observe consistency—not just in outcomes, but in process—across multiple futures products, market conditions, and timeframes, using the Stop Hunt Indicator alongside my proprietary Signal Architect™ framework.
The goal is simple:
To show how structure, behavior, and probability repeat—every day—despite a constantly changing market.
If you follow these posts over time, you will begin to recognize that:
• The same behaviors appear across different futures contracts
• The same reactions occur on multiple timeframes
• The same structural traps and stop events repeat regardless of volatility regime
That consistency is not coincidence.
Consistency is the signal.
Over time, that consistency should become familiar—
and familiarity should become your edge.
________________________________________
🧠 What You’re Seeing (And Why It Matters)
This indicator includes a limited visual preview of a proprietary power signal I have personally developed and refined across:
• Futures
• Algorithmic trading systems
• Options structure
• Equity market behavior
Every tool I release is built around one core principle:
Clarity of direction without over-promising or over-fitting.
That is why all Signal Architect™ tools emphasize:
• Market structure first
• High-probability directional context
• Clear, visual risk framing
• No predictive claims
• No curve-fit illusions
What you see publicly is not the full system—only controlled, educational previews meant to demonstrate how structure and probability align in real markets.
________________________________________
📊 Background & Scope
Over the years, I have personally developed 800+ programs, including:
• Equity systems
• Futures strategies
• Options structure tools
• Dividend & income frameworks
• Portfolio construction and allocation logic
This includes 40+ Nasdaq-100 trading bots, several operating under extremely strict rule-sets and controlled deployment conditions.
Nothing shared publicly represents my complete internal framework.
Public posts exist for education, observation, and pattern recognition—not signals, not advice, and not promises.
________________________________________
🤝 For Those Who Find Value
If these daily posts help you see the market more clearly:
• Follow, boost, and share my scripts, Ideas, and MINDS posts
• Feel free to message me directly with questions or build requests
• Constructive feedback and collaboration are always welcome
For traders who want to go deeper, optional memberships may include:
• Additional signal access
• Early previews
• Occasional free tools and upgrades
🔗 Membership & Signals:
trianchor.gumroad.com
________________________________________
⚠️ Final Note
Everything published publicly is educational and analytical only.
Markets carry risk.
Discipline, patience, and risk management always come first.
Watch the consistency.
Study the structure.
Let the market repeat itself.
— Signal Architect™
________________________________________
🔗 Personally Developed GPT Tools
• AuctionFlow GPT
chatgpt.com
• Signal Architect™ Gamma Desk – Market Intelligence
chatgpt.com
• Gamma Squeeze Watchtower™
chatgpt.com
Killzone - VLGreen for Asia, Yellow for London, Blue inside for NY Killzone, Purple for London Close.
MW Futures Liquidity ScalperMW Futures Liquidity Scalper - ICT-Inspired Algorithmic Trading
A comprehensive ICT (Inner Circle Trader) inspired strategy that automates liquidity pool detection, fair value gap (FVG) analysis, and precision entries for futures and forex markets. This strategy implements institutional trading concepts with customizable filters, multi-timeframe confirmation, and complete risk management.
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🎯 What This Strategy Does
This strategy scans the market for areas where stop losses cluster (liquidity pools), identifies price imbalances (FVGs), and places precision entries when conditions align. It automates the "liquidity hunt" concept: tracking where institutions sweep stops before price reverses.
The key principle: Time first, then price. Configure when to trade, which liquidity to target, and how to enter - the strategy handles the rest.
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📊 How The Algorithm Works
Step 1 - Liquidity Mapping: Calculates session highs (buy-side liquidity/BSL) and lows (sell-side liquidity/SSL) at your chosen intervals
Step 2 - Bias Detection: More BSL than SSL = bearish bias. More SSL than BSL = bullish bias
Step 3 - FVG Search: Finds the first valid Fair Value Gap matching your size requirements and current bias
Step 4 - Filter Check: Validates all enabled filters (EMA, NWOG/NDOG, orderflow, correlation, macro time)
Step 5 - Entry Placement: Places limit order at FVG boundary with configured slippage
Step 6 - Exit Management: Sets take profits at opposing liquidity pools, manages trailing stops and breakeven
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🔑 Core Concepts Explained
Liquidity Pools
Areas where stop losses cluster - above swing highs (BSL/blue lines) or below swing lows (SSL/red lines). Institutions often sweep these zones before reversing. Darker colors indicate pools that have been purged.
Fair Value Gaps (FVGs)
Price imbalances from aggressive moves where 3-candle wicks don't overlap. These act as entry zones. Green = bullish, Red = bearish, Blue = invalid/neutral.
First Presentation
The first FVG after session start (Asia 18:30, London 00:30, NY AM 09:30, NY PM 13:30 NY time). Used until the next session begins.
2022 Model
Only searches for FVGs after a liquidity pool is purged. Loops backward from the sweep to find the enabling FVG - often used for IFVG (Inverse FVG) trades.
Volume Imbalance
When candle bodies don't touch within an FVG, extends the FVG boundaries for more precise entries.
Premium/Discount
Above 50% of a range = premium (favorable for shorts). Below 50% = discount (favorable for longs).
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⚙️ Key Features
Liquidity Detection
• Configurable calculation intervals: 15-minute, 30-minute, or hourly
• Optional AM Opening Range (09:30-10:00 NY)
• Daily reset at 18:00 NY time
• Visual tracking of BSL (blue) and SSL (red) levels
FVG Analysis
• Minimum/maximum FVG size filters (handles)
• Skip invalid FVGs to find next valid one
• Volume imbalance integration
• Four session-based first presentation options
• 2022 Model for post-purge entries
Orderflow Filters
• Short-Term (STH/STL) - 3-candle swings (yellow)
• Intermediate-Term (ITH/ITL) - higher-degree swings (purple)
• Long-Term (LTH/LTL) - major swing structure (green)
• Premium/discount zones for each level
• Automatic bias shift when levels are taken
Direction Filters
• NDOG: New Day Opening Gap - gap between 16:59 and 18:00
• NWOG: New Week Opening Gap - Friday close to Sunday open
• EMA Filters: 9/18 EMA crossovers on daily, weekly, or custom timeframes
• Macro Time: Trade only during xx:50 to xx:10 windows
• Midnight Filter: Use 00:00 NY close as bias reference
Correlation Filters
• Compare with any ticker using 9/18 EMA
• Positive correlation: both must align
• Negative correlation: must be opposite (e.g., NQ long when DXY short)
• Available on weekly, daily, and custom timeframes
Risk Management
• Three stoploss placement methods (FVG boundary, 2nd candle, 1st candle)
• Configurable min/max stoploss sizes
• Trailing stoploss (close-based or high/low)
• Auto-breakeven after first TP with handle offset
• Option to skip breakeven during avoidance times
Position Sizing
• Topstep 50k/100k/150k presets with proper limits
• AMP Live margin-based sizing
• Custom daily loss, drawdown, and contract limits
• Max risk per trade with automatic contract scaling
Entry Precision
• Entry slippage: positive = outside FVG, negative = inside FVG
• Close above/below requirement before entry
• 75% body closure filter to avoid wick-driven signals
Exit Management
• Take profits at opposing liquidity pools
• Runner contracts for extended trends
• TP clustering to merge nearby targets
• Max trades per hour limiter
Time Controls
• Configurable timezone (9 major zones)
• Liquidity search windows
• Trading hours restrictions
• Day-specific avoidance times
• Close all positions time
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📋 Building Your Model (Step-by-Step)
1. Define Time: When do you want to trade? (NY open 09:30-11:30 recommended)
2. Choose Liquidity: 15-minute, 30-minute, hourly, or AM opening range
3. Select FVG Method: First presentation, timed intervals, or 2022 model
4. Set Entry Rules: Slippage, close confirmation, body filter
5. Configure Stoploss: Placement method, min/max sizes, trailing
6. Add Orderflow: STH/STL, ITH/ITL, LTH/LTL with premium/discount
7. Apply Direction Filters: EMA, NWOG/NDOG, macro, correlation
8. Set Profit Targets: Min distance, max TP, runners, clustering
Tip: Start simple with steps 1-3, then optimize incrementally. Don't enable all filters at once.
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📁 Settings Groups
Time Settings - Trading Periods: Timezone, start date, liquidity windows, trading hours
Liquidity Settings: Calculation intervals, AM opening range
FVG Settings: Size filters, first presentation, 2022 model, volume imbalance
Entry Settings: Slippage, close confirmation, body filter
Stoploss Settings: Placement, min/max, trailing, alerts
Breakeven Settings: Amount, trigger conditions, avoidance time behavior
Orderflow Filters: STH/STL, ITH/ITL, LTH/LTL with premium/discount
Line Filters: Daily matrix, midnight filter, custom hourly/minute
Direction Filters: NDOG, NWOG, EMA daily/weekly/custom, macro time
Correlation Settings: Weekly/daily/custom with ticker and type
Profit Targets: Min range, max TP, runners, clustering
Funded Account Rules: Account type, loss limits, margin, contracts
Time Settings - Avoidance: Macro first 2 minutes, day-specific blocks
Miscellaneous: Visual colors for FVGs, liquidity, labels
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💡 Usage Guidelines
Use on 1-minute timeframe (warning displays otherwise)
Designed for futures (ES, NQ, MES, MNQ) and forex
Enable bar magnifier for realistic backtesting
TradingView Premium recommended for extended history
Commission: $0.62/contract for futures accuracy
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📈 Optimization Tips
Focus on ONE trading model - don't combine everything
Trade high-liquidity sessions (NY open is most active)
Optimize in stages: time → filters → stoploss → trailing → avoidance
Use realistic commission and slippage settings
Avoid over-optimization - keep models simple
Test across multiple market conditions
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⚠️ Risk Considerations
Execution Risk: Fast markets can cause slippage beyond settings
False Signals: Not all FVGs lead to profitable trades
Time Sensitivity: Liquidity concepts work best during active sessions
Market Conditions: Performance varies in trending vs ranging markets
Capital Risk: Futures require appropriate margin and risk capital
Leverage: Futures amplify both gains and losses
Over-Optimization: Past performance does not guarantee future results
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⚠️ IMPORTANT DISCLAIMER
Trading futures, forex, and other leveraged products involves substantial risk of loss and is not suitable for all investors. You could lose more than your initial investment. Never trade with money you cannot afford to lose.
Past performance shown in backtests is NOT indicative of future results. No trading strategy guarantees profits. Markets are inherently unpredictable, and historical patterns may not repeat.
This strategy is provided for EDUCATIONAL and INFORMATIONAL purposes only. It does not constitute financial advice, trading advice, or any other type of advice. The concepts are based on ICT (Inner Circle Trader) methodology as interpreted by the author.
Before trading:
• Understand the risks involved
• Use proper position sizing
• Always use stop-losses
• Test thoroughly on demo accounts
• Only trade with capital designated for risk
By using this strategy, you acknowledge that you understand and accept these risks. Trade responsibly.
Futures Risk Manager (Futures)Risk management table for consistency trading.
Auto adjustable for MINI/MICRO based on your account.
can change RR shows SL and TP and amount to enter.
Please take note that you need to update every trade the stop tick and RR ratio.
Good luck in your trading journey.
SA VWAP RSI Gamma ExpressSIGNAL ARCHITECT™ — VWAP + RSI + Gamma Express
Reduced Gate | Intraday Structure Engine
Overview
The VWAP + RSI + Gamma Express is a structure-first intraday signal engine designed to identify high-probability reversals and momentum expansions around VWAP, RSI regime shifts, and synthetic gamma-wall behavior.
This tool does not predict price.
It highlights where price is statistically more likely to respond based on participation, positioning, and momentum confirmation.
Core Logic (How It Works)
This study combines three structural layers:
1) VWAP Location
VWAP defines the institutional mean
Signals only trigger when price reclaims or rejects VWAP
Eliminates low-quality mid-range chop
2) RSI Regime Behavior
Reversal Logic
Bullish: VWAP reclaim after RSI has been oversold
Bearish: VWAP rejection after RSI has been overbought
Expansion Logic
Bullish: RSI ≥ 60 while holding above VWAP
Bearish: RSI ≤ 40 while holding below VWAP
Prevents chasing late or exhausted moves
3) Gamma Proxy (Optional Gate)
Uses synthetic strike proximity + volume behavior
Helps detect areas where dealer hedging or pinning behavior may amplify follow-through
Can be toggled ON/OFF depending on market conditions
Signal Types
BULL REV (Bullish Reversal)
VWAP cross upward
Prior RSI oversold
Indicates absorption → directional shift
BULL EXP (Bullish Expansion)
Above VWAP
RSI expansion (≥ 60)
Optional gamma confirmation
Indicates momentum continuation
BEAR REV (Bearish Reversal)
VWAP cross downward
Prior RSI overbought
Indicates distribution → downside response
BEAR EXP (Bearish Expansion)
Below VWAP
RSI deflation (≤ 40)
Optional gamma confirmation
Indicates downside continuation
Bar Coloring (Important)
Green Bars → Bullish structure confirmed
Red Bars → Bearish structure confirmed
Gray Bars → Undefined trading conditions
⚠️ Gray bars mean CAUTION IS ELEVATED
Structure is incomplete
VWAP / RSI / Gamma alignment is missing
Best used for observation, not execution
Gray = wait for confirmation, not force a trade.
Recommended Timeframes
⭐ 5-Minute is the PRIMARY and FAVORITE timeframe
Best balance of signal clarity and execution precision
Ideal for NQ / ES intraday structure
Captures real institutional behavior without micro noise
Secondary Use:
15m → intraday bias confirmation
1H → session-level context
Lower than 5m = execution only (not signal truth)
Best Use Cases
VWAP reclaim / rejection days
Trend days with pullback continuation
Opening range transitions
Post-news stabilization phases
Futures, index ETFs, and highly liquid equities
What This Tool Is NOT
❌ Not a buy/sell command system
❌ Not predictive or future-forecasting
❌ Not designed for low-liquidity assets
This is a structure + confirmation engine, not a signal spam tool.
Risk & Disclaimer
This indicator is provided for educational and analytical purposes only.
It does not constitute financial advice. Trading involves substantial risk, and past performance does not guarantee future results. Always use proper risk management.
Signal Indicator
trianchor.gumroad.com
chatgpt.com
chatgpt.com
chatgpt.com
SA_Multi-Timeframe Execution_ORB_RANGE_CLOUDCORE IDEA (Read This First)
This indicator does not give entries by itself.
It answers three critical questions:
Where is weekly balance vs expansion? (Cloud)
Has the week declared intent? (BRK)
Is price aligned across auction speeds? (30 → 15 → 5)
When multiple timeframes agree, price reacts strongly because you’re trading institutional reference points, not indicators.
SECTION I — TIMEFRAME ROLES (VERY IMPORTANT)
🟦 30-Minute Chart — STRUCTURE / BIAS
Role: Weekly map
Defines whether the week is:
Balanced (inside cloud)
Expanding (outside cloud)
You do not enter from 30m
You decide directional bias only
Think of 30m as the “Where am I allowed to trade?” chart.
🟨 15-Minute Chart — CONFIRMATION
Role: Decision layer
Confirms whether price is:
Holding weekly support/resistance
Accepting or rejecting the cloud
First place where BRK matters meaningfully
15m answers:
“Is the market agreeing with the weekly map?”
🟥 5-Minute Chart — EXECUTION
Role: Timing & precision
Used only after 30m + 15m alignment
Provides:
Entry timing
Stop placement
Early failure detection
5m answers:
“When do I engage?”
SECTION II — PAIRING SETUPS
🔷 SETUP A: 30-15-5 (Highest Conviction)
When to Use
You want swing-intraday hybrids
Best for NQ, ES
Best on trend days
Conditions
30m
Price outside weekly cloud
Or clean rejection from cloud boundary
15m
BRK confirms in same direction
OR price holds above/below cloud edge
5m
Pullback or continuation trigger
No counter-BRK against higher frames
Behavior Expectation
Clean directional follow-through
Strong support/resistance reactions
Fewer fakeouts
🔷 SETUP B: 30-15 (Context Only)
When to Use
You’re not trading actively
Or managing runners / swings
Conditions
Use 30m + 15m to:
Hold bias
Avoid counter-trend trades
Stay patient
This pairing prevents over-trading.
🔷 SETUP C: 15-5 (Intraday Precision)
When to Use
You want scalps or short intraday swings
Works extremely well after the weekly cloud is broken
Conditions
15m
Either:
First BRK of the week
Or price firmly outside cloud
5m
Entry after pullback
Or first continuation after compression
This is where you’ll see the “crazy support” you mentioned.
SECTION III — ENVIRONMENT RULES (DO NOT SKIP)
🟧 Price INSIDE the Weekly Cloud
Market State: Compression / Balance
What to expect:
Chop
Fades
Failed breakouts
Best actions:
Smaller targets
Faster exits
Mean-reversion mindset
Avoid:
Holding large trend positions
Forcing continuation trades
🟩 Price OUTSIDE the Weekly Cloud (with BRK)
Market State: Expansion / Trend
What to expect:
Momentum
Strong pullback support
One-directional pressure
Best actions:
Pullback entries
Let winners run
Scale instead of scalp
SECTION IV — PROFIT TARGETS BY PRODUCT
(REALISTIC, STRUCTURE-BASED)
🟦 NASDAQ FUTURES (/NQ)
High volatility, fast expansion
5-Minute
Inside cloud: 5–10 points
Outside cloud / BRK: 10–20 points
15-Minute
Continuation: 15–30 points
Strong weekly trend: 30–50 points
🟨 S&P 500 (/ES)
Cleaner structure, slower moves
5-Minute
Inside cloud: 2–4 points
Outside cloud: 4–8 points
15-Minute
Trend continuation: 6–12 points
Strong week: 12–20 points
🟥 Russell 2000 (/RTY)
Choppy but explosive when aligned
5-Minute
Inside cloud: 3–6 points
Outside cloud: 6–12 points
15-Minute
Trend days: 10–20 points
🟪 Dow Jones (/YM)
Slow but persistent
5-Minute
Inside cloud: 30–60 points
Outside cloud: 60–120 points
15-Minute
Trend continuation: 120–250 points
🟨 Gold Futures (/GC)
Mean-reverting, respect structure
5-Minute
Inside cloud: 3–6 points
Outside cloud: 6–10 points
15-Minute
Continuation: 10–20 points
Weekly trend: 20–35 points
SECTION V — GOLDEN RULES (PRINT THESE)
✅ Trade with the weekly map
✅ Let 30m define bias
✅ Let 15m confirm
✅ Let 5m execute
❌ Do NOT fight the cloud
❌ Do NOT over-size inside balance
Final Thought
When the 15m and 5m align with the weekly structure, you’re trading where liquidity must react — that’s why the support and continuation feel so strong.
Signal Inside the Indicator - trianchor.gumroad.com
chatgpt.com
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ScalpAtlas [JOAT]ScalpAtlas - Volatility, Structure, Confluence & Risk Console
IMPORTANT NOTES (READ FIRST)
This is an indicator (not a strategy). It does not place trades. It provides a structured decision framework: context + levels + sizing.
This script is written in Pine Script v6 and is intended to be used on standard candlestick charts .
All numbers shown in the console (S/R, SL/TP) are displayed using the symbol’s tick size formatting for maximum price precision.
No external indicators are required. The design goal is to keep the chart clean and use the Execution Console as the primary “operator panel”.
Source code visibility: This script is published as Protected Source (closed-source) . The purpose is to protect the work from unauthorized re-uploads/copies and to keep a stable versioning path for ongoing maintenance. This description is intentionally detailed so you can understand what the indicator does and how to use each feature without needing access to the implementation.
Protected Source / Closed-Source Clarification
Protected source does not mean “trust me”. It means the internal implementation is not publicly viewable.
The operational behavior is documented here: what is plotted, what each console cell means, what each input controls, and how to use the output.
If you see re-uploads or near-identical copies elsewhere, treat them with caution and rely on the official publication details and visuals.
Overview
ScalpAtlas is a regime-aware scalping and intraday decision suite designed to unify:
Volatility context (ATR or Gaussian bands)
Non‑repainting higher-timeframe structure (confirmed HTF pivot Support/Resistance)
Multi-timeframe momentum (DMI/ADX across 5m, 15m, 1h)
Volume pressure + absorption proxies (volume Z-score, wick/body efficiency, wick skew)
VWAP regime context (deviation and directional bias)
Actionable risk sizing (account/risk inputs, friction, point value, per-stop ladder sizing)
Instead of cluttering the chart with dozens of labels, the script consolidates critical information into a single right-side ScalpAtlas Execution Console so you can make fast decisions with consistent formatting.
What Makes It “A Suite” (Originality & Usefulness)
This script is not a simple mashup of common indicators. It is a coordinated workflow:
Structure defines where decisions should happen (confirmed HTF pivot zones).
Volatility bands define whether price is “extended” or “discounted” relative to the current regime.
MTF momentum (ADX/DMI) defines trend strength and directional alignment.
VWAP deviation adds context for mean-reversion vs continuation bias.
Flow metrics approximate absorption/stop activity (wick-based efficiency + volume deviation).
Risk console translates context into actionable sizing (ticks, risk per contract, quantity).
The purpose is to reduce discretionary guesswork by presenting a consistent, tick-accurate operational picture in one place.
1) Chart Visuals - What You See on the Chart
A) Volatility Bands (ATR or Gaussian)
The script plots a basis line and upper/lower volatility envelopes.
ATR mode : adapts to changing volatility via ATR.
Gaussian mode : uses standard deviation logic for statistical dispersion.
A subtle fill is used between bands for quick “zone recognition”.
How to use:
When price is near the lower band , the script treats it as a discount zone (context for long ideas if other filters agree).
When price is near the upper band , the script treats it as a premium zone (context for short ideas if other filters agree).
B) Dynamic Candle Coloring (optional)
When enabled, candles are tinted based on location vs the basis line. This is a visual aid only.
Above basis: warmer/bullish tint.
Below basis: cooler/bearish tint.
C) Market Structure Lines (optional)
The script draws Support (S) and Resistance (R) using confirmed higher-timeframe pivots.
Support line: dashed, light-brown tone.
Resistance line: dashed, rose tone.
Labels “S” and “R” are updated on the latest bar only (no spam).
Non‑repainting structure policy:
Structure levels are derived from a higher timeframe and intentionally confirmed. This means:
Levels appear only when a pivot is confirmed.
Levels can update when a new confirmed pivot replaces the previous one.
D) Optional “Chart Signals” (OFF by default)
To keep charts clean, signal labels and auxiliary overlays are gated behind Show Chart Signals . When ON, the script may display:
Long/Short signal labels (only on confirmed bars).
Dynamic SL/TP lines for active signal context.
Order block shading (a lightweight heuristic layer).
E) Background Strength Tint
A subtle background tint reflects the presence and strength of the current signal state.
2) ScalpAtlas Execution Console - Full Glossary
The Execution Console is the primary UI. It is designed to read like an operations dashboard.
Header Row (Row 0)
Column 0 : Script console title.
Column 1 : Symbol.
Column 2 : Chart timeframe.
Column 3 : Session context (London/NY vs Asia) based on current exchange time window.
Column 4 : VWAP header (shows VWAP or VWAP+VOL if a volume burst is present).
Column 5 : Band mode currently selected (ATR or Gaussian).
Row 1 - Momentum
5m / 15m / 1h ADX cells : trend strength + direction via DMI/ADX.
Cell color reflects directional bias and trend strength.
An “inside bar” state is highlighted distinctly to warn about compression.
VWAP % : percent deviation of price from VWAP (tick-safe computations).
EFF % : “efficiency” of the current bar (body size relative to total range).
How to use Momentum row:
Higher ADX across 15m and 1h increases the probability that trend-following logic is appropriate.
Inside-bar highlighting suggests compression and potential expansion risk (wait for confirmation).
VWAP deviation helps decide continuation vs mean-reversion bias.
Row 2 - Flow
Z : volume Z-score relative to its moving average and standard deviation.
Abs(B) : bullish absorption proxy (uses wick/balance/volume deviation mechanics).
Abs(S) : bearish absorption proxy.
Skew : wick skew (upper vs lower wick dominance).
IMB : imbalance flag (range/body relationship vs ATR context).
How to use Flow row:
High Z + strong Abs(B) near support can strengthen a long thesis.
High Z + strong Abs(S) near resistance can strengthen a short thesis.
Skew helps interpret whether rejection is happening on one side of the candle range.
IMB warns that the bar is “inefficient” (potential displacement / imbalance conditions).
Row 3 — Risk
Bal : account balance input.
R$ : base risk amount derived from risk % (before volatility adjustment).
PV : point value used for sizing (either symbol point value or your manual value).
ATRSL % : ATR-based stop model expressed as percent of price.
Fr : friction % (commissions/slippage buffer). This impacts the stop ladder computations.
Row 4 - Levels
S : current support level (tick-formatted).
R : current resistance level (tick-formatted).
Tick : symbol minimum tick size.
RR : risk:reward ratio used for projected TP.
Adj : volatility-adjusted risk % and corresponding risk amount.
Row 5 - Setup (Real-time operator row)
Signal : LONG / SHORT / NEUTRAL.
Str : composite strength score (0–100) based on momentum/volume/VWAP/absorption context.
SL : dynamic stop level derived from structure + buffer (tick-formatted).
TP : projected take-profit using RR ratio (tick-formatted).
Qty : calculated contract quantity based on your risk model.
Rows 6–17 - Money Management Ladder
This section models multiple stop configurations and shows the implied risk per contract and sizing.
Columns
SL : stop model name (ATR or % ladder).
SL% : selected stop percent plus friction.
Ticks : the implied stop distance in ticks.
Risk/ct : dollar risk per contract for that stop distance.
Qty : suggested quantity for that stop model.
How to use the ladder:
Pick a stop model that matches current volatility and structure spacing.
If the calculated Qty is too large/small, adjust risk %, friction, or point value (or select a different stop model).
Use the ladder as a “sanity check” to avoid accidental oversizing.
3) How the Signal Framework Works (High-Level, No Code)
The script evaluates a confluence framework that adapts to regime:
Trend regime (trend-following bias)
Requires higher ADX confirmation across higher timeframes.
Uses directional alignment across 5m/15m/1h momentum.
Uses VWAP bias and band position for timing.
Requires volume expansion (burst) to reduce low-liquidity signals.
Range / sweep regime (mean-reversion / liquidity sweep bias)
Looks for sweeps through structure (support/resistance) and reversal back inside.
Uses absorption proxies + volume expansion as confirmation.
Strength Score
The strength score is intended to prioritize only the best conditions:
Trend strength contribution (ADX)
Volume participation contribution (relative volume)
VWAP displacement contribution
Absorption contribution
Imbalance contribution
4) Inputs & Settings — Full Reference
Volatility Bands
Band Type : ATR or Gaussian.
Band Length : smoothing length used by basis and dispersion.
Band Multiplier : envelope width factor.
Market Structure
Pivot Lookback : sensitivity of pivot detection.
Structure Timeframe : HTF used to derive pivots.
Show Structure Lines : toggle dashed S/R lines and labels.
Momentum Heatmap
ADX Length : DMI/ADX length.
Strong Trend Threshold : minimum ADX used for trend regime classification.
Volume Analysis
Volume MA Length : baseline volume moving average length.
Volume Burst Multiplier : defines when current volume is a “burst”.
Risk Management
Account Balance : used for sizing.
Max Risk Per Trade (%) : base risk percent (volatility-adjusted internally for stability).
Friction (%) : commission/slippage buffer included in stop model calculations.
Risk:Reward Ratio : used to project TP.
Use Symbol Point Value : uses exchange-provided point value when available.
Manual Point Value : fallback when symbol point value is incorrect/missing.
Structure Buffer (ticks) : adds a tick buffer beyond structure for SL placement.
Scalping Money Management
Show ATR stop loss : includes ATR-based stop model in the ladder.
ATR timeframe : timeframe used for ATR stop computation.
Stop loss length : ATR length used for the ATR model.
Stop loss ladder (%) : configurable percent stops from 0.10% to 1.00% (each can be toggled).
Visual Settings
Show Execution Console
Console Position
Console Text Size
Show Chart Signals (keeps the chart clean when OFF)
Fill Opacity
Line Width
Dynamic Candle Coloring
5) Recommended Workflow (Practical Use)
Step 1 — Calibrate risk inputs
Set Account Balance.
Set Risk % conservatively.
Set Friction to reflect your real costs.
Confirm Point Value is correct for your instrument.
Step 2 — Select your structure timeframe
For intraday/scalping, use a higher timeframe that provides stable pivots (e.g., 15m/30m/1h depending on your chart timeframe).
Step 3 — Use the console to decide regime
If 15m & 1h ADX are strong and direction aligns, treat conditions as trend regime.
If not, be more selective and consider sweep/mean-reversion contexts.
Step 4 — Validate location
Prefer longs near support / lower band when context supports it.
Prefer shorts near resistance / upper band when context supports it.
Step 5 — Use SL/TP + Qty as the final gate
Confirm SL makes structural sense.
Confirm Qty is reasonable.
If not reasonable, do not force the trade—adjust stop model or risk.
7) Limitations & Best-Use Guidance
This tool does not know your broker execution, slippage, or fills. The risk ladder is a planning model.
Volume-based logic depends on the quality of volume data for the symbol/exchange.
Structure pivots are confirmed by design; you may see levels update only after confirmation.
Order block shading is a lightweight heuristic layer and is not a full SMC mapping engine.
Avoid making decisions on non-standard chart types (Heikin Ashi / Renko / etc.) if you want consistency with price-based stops and risk sizing.
Disclaimer
This script is for educational and informational purposes only. It does not constitute financial advice. Trading involves risk, and you are responsible for your own decisions, sizing, and risk controls. Always test settings and workflows in a simulated environment before using them in live markets.
-Made with passion by officialjackofalltrades
GOLD DIGGA$ GOLD DIGGA — EXECUTION MAP $
A clean, professional price level mapping system designed for precision trading in gold, indices, and other instruments. This indicator creates a visual execution framework with clearly defined price zones and levels.
🎯 CORE FEATURES
Smart Price Levels — Automatically generates price levels every $5 within your specified range
Premium Level Highlighting — Special emphasis on key psychological levels ($25 and $100 intervals)
Dynamic Fade System — Zones fade based on distance from current price for better focus
Background-Friendly Design — Stays behind price action and other indicators, won't interfere with your analysis
Fully Customizable — Complete control over colors, transparency, text sizes, and display options
📊 DISPLAY OPTIONS
Show All Zones (default) — Display all price levels with their zones
Show Only Premium Zones — Focus exclusively on major psychological levels for a cleaner chart
⚙️ CUSTOMIZATION
✓ Adjustable price range (min/max)
✓ Configurable zone height
✓ Fade distance control
✓ Separate color schemes for premium and regular zones
✓ Independent text size controls for premium and regular labels
✓ Transparent backgrounds for minimal visual clutter
💡 BEST USE CASES
Execution planning for high-value instruments (Gold, BTC, indices)
Identifying key psychological price levels
Order placement reference points
Support/resistance level visualization
Clean chart organization without overlay interference
📌 TECHNICAL DETAILS
Supports up to 300 boxes, 200 labels, and 300 lines
Dashed midlines for precise level identification
Right-aligned labels to keep your chart clean
Dynamic transparency based on price proximity
Perfect for traders who need precise level mapping without cluttering their charts. Compatible with any timeframe and trading style.
HMA Trend Scalper V1[wjdtks255]
Overview
This indicator is a high-performance trend-following system optimized for crypto futures trading. It provides clear entry signals and dynamic, real-time risk management tools to help traders stay on the right side of the market.
Key Features
Dynamic Trend Tracking: Uses a specialized HMA (Hull Moving Average) to filter market noise and identify the core trend.
Real-time TP/SL Extension: Unlike static indicators, the Take Profit (TP) and Stop Loss (SL) lines extend candle-by-candle along with the price action.
Clean Chart UI: Lines only exist from the entry point to the current candle, preventing chart clutter.
Automatic Completion: Once the price hits a target, the line stops extending and marks the result (Target Hit or Stop Out).
Trading Strategy (How to Trade)
1. Long Entry (🚀 LONG)
Condition: The price must be above the trend line, and a breakout of the recent 5-candle high must occur with significant volume.
Action: Enter a Long position when the "🚀 LONG" label appears.
Exit: Hold until the price reaches the Cyan (Aqua) TP line or hits the Yellow SL line.
2. Short Entry (💀 SHORT)
Condition: The price must be below the trend line, and a breakdown of the recent 5-candle low must occur with significant volume.
Action: Enter a Short position when the "💀 SHORT" label appears.
Exit: Hold until the price reaches the Cyan (Aqua) TP line or hits the Yellow SL line.
3. Risk Management
Stop Loss: The indicator automatically calculates the optimal SL based on recent volatility (ATR) and swing points.
Take Profit: The TP is set at a calculated ratio to ensure a positive risk-to-reward setup.
Settings
Trend Sensitivity: Adjust the HMA length to match your preferred timeframe (Scalping vs. Swing).
Volume Multiplier: Filter out weak moves by increasing the volume breakout requirement.
Custom Styles: Fully customize line colors, widths, and styles (Solid, Dashed, Dotted) in the settings menu.
Directional Movement Probability (DMP Indicator) [whodatop]The Directional Movement Probability (DMP) indicator is an intraday-oriented analytical tool designed to identify probabilistic phases of directional price movement using a Z-score calculation based on the deviation of the closing price from its moving average.
The indicator is primarily intended for lower intraday timeframes , with 3-minute and 5-minute charts being the preferred operating range, where directional transitions and regime shifts are more clearly expressed.
Its primary objective is to detect the start and end of a positive Z-score zone, interpreted as a phase of dominant directional behavior.
It has demonstrated particularly consistent behavior on Forex instruments and currency futures , where mean-deviation dynamics and session-based liquidity patterns are well defined.
Core Calculation Logic
Z-score
The indicator uses a Z-score calculated from the closing price relative to its moving average.
The Lookback Length defines the calculation window for both the moving average and standard deviation.
If the standard deviation is zero, the Z-score defaults to 0.
Deadband (Hysteresis)
A symmetric deadband around zero is applied to reduce signal noise when Z fluctuates near the midpoint.
Setting Deadband = 0 disables this behavior.
Signal Filters
Filters do not alter the Z-score calculation and are applied only at the signal level.
Toxic Bar Filter
Suppresses signals on abnormally large candles by comparing bar height to recent volatility.
Session Filter
Optionally ignores signals during the Asian session (23:00–07:00 UTC) to reduce low-liquidity noise.
Limitations and Usage Notes
This is an intraday indicator, not a standalone trading system.
Best performance is typically observed on 3-minute and 5-minute charts.
Particularly well-suited for Forex markets and currency futures.
Can be applied to other asset classes and timeframes, but signal characteristics may vary.
Most effective when combined with:
- higher-timeframe directional bias,
- market structure or liquidity-based analysis,
- additional confirmation logic.
Not designed for prolonged range-bound conditions without supplementary filters.
TRADERZZ CONTRACT CALCULATORTRADERZZ MODEL NQ – Risk & Contract Calculator
TRADERZZ MODEL NQ is a precision risk-management indicator designed for futures traders who want fast, accurate contract sizing directly on the chart.
The indicator allows you to manually define your entry and stop-loss, automatically snapping prices to the correct exchange tick size. It then calculates the exact number of contracts to trade based on your predefined account risk.
Built with Nasdaq (NQ / MNQ) in mind, the model ensures prices align perfectly with 0.25-point increments, removing guesswork and execution errors.
Key Features
• Manual Entry & Stop-Loss price input
• Automatic tick-accurate rounding
• Dynamic contract sizing based on dollar risk
• Supports ES, MES, NQ, MNQ, YM, MYM, GC, MGC
• Clean on-chart lines for entry & stop
• Customizable info table with toggles
• Designed for precision futures trading
How It Works
Select your instrument
Input your Entry and Stop-Loss
Set your Account Risk ($)
The indicator instantly displays the optimal number of contracts to trade
Best Use
This tool is ideal for day traders and scalpers who value strict risk control, consistent position sizing, and clean execution—especially on Nasdaq futures.
Nexus Momentum Flow [JOAT]
Nexus Momentum Flow - ADX-Based Trend Strength Analysis
Introduction and Purpose
Nexus Momentum Flow is an open-source oscillator indicator that combines the ADX (Average Directional Index) with directional movement indicators (+DI/-DI) to create a comprehensive trend strength and direction analysis tool. The core problem this indicator solves is that ADX alone tells you trend strength but not direction, while +DI/-DI alone tells you direction but not strength. Traders need both pieces of information together.
This indicator addresses that by combining ADX strength classification with directional bias into a single confluence score, making it easy to identify when strong trends exist and which direction they favor.
Why These Components Work Together
1. ADX (Average Directional Index) - Measures trend strength regardless of direction. Values above 25 indicate trending; below 20 indicate ranging.
2. +DI (Positive Directional Indicator) - Measures upward price movement strength.
3. -DI (Negative Directional Indicator) - Measures downward price movement strength.
4. Confluence Score - Combines ADX strength with DI bias to create a single actionable metric.
The combination works because:
ADX filters out ranging markets where DI crossovers produce whipsaws
DI relationship provides direction when ADX confirms trend
Confluence score simplifies the analysis into one number
How the Calculation Works
float directionBias = diPlus - diMinus
float confluenceScore = (adx / 100) * directionBias
The confluence score is positive when +DI > -DI (bullish) and negative when -DI > +DI (bearish), with magnitude scaled by ADX strength.
Trend State Classification
EXTREME - ADX > 50 (very strong trend)
STRONG - ADX 35-50 (strong trend)
TRENDING - ADX 25-35 (moderate trend)
RANGING - ADX < 25 (no clear trend)
Dashboard Information
Status - Current trend state (EXTREME/STRONG/TRENDING/RANGING)
Direction - BULLISH or BEARISH based on DI relationship
ADX - Current ADX value
DI Bias - Difference between +DI and -DI
Confluence - Combined score with directional context
How to Use This Indicator
For Trend Following:
1. Wait for ADX to show TRENDING or higher
2. Check direction matches your trade bias
3. Enter on pullbacks when confluence remains positive/negative
4. Exit when ADX drops to RANGING
For Avoiding Whipsaws:
1. Do not trade DI crossovers when ADX shows RANGING
2. Only trust directional signals when ADX confirms trend
3. Use RANGING periods for mean-reversion strategies instead
For Trend Exhaustion:
1. Watch for EXTREME ADX readings
2. Extreme trends often precede reversals
3. Consider taking profits when ADX reaches extreme levels
Input Parameters
ADX Length (14) - Period for ADX calculation
DI Length (14) - Period for directional indicators
ADX Smoothing (14) - Smoothing period for ADX
Trend Threshold (25) - ADX level for trend confirmation
Strong Threshold (35) - ADX level for strong trend
Extreme Threshold (50) - ADX level for extreme trend
Timeframe Recommendations
Daily/4H: Best for swing trading trend analysis
1H: Good for intraday trend following
15m: More signals but requires faster reaction
Limitations
ADX is a lagging indicator - trends are confirmed after they start
DI crossovers can whipsaw even with ADX filter
Works best in markets that trend clearly
May miss early trend entries due to confirmation requirement
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes.
This indicator does not constitute financial advice. Trend analysis does not guarantee profitable trades. Always use proper risk management.
- Made with passion by officialjackofalltrades
Fractal Wave Hunter [JOAT]
Fractal Wave Hunter - Multi-Method Fractal Detection System
Introduction and Purpose
Fractal Wave Hunter is an open-source overlay indicator that identifies key reversal patterns using multiple fractal detection methods. The core problem this indicator solves is that different fractal methods catch different types of reversals. Williams' classic 5-bar fractal is reliable but slow; Hougaard's 4-bar method is faster but noisier. Using only one method means missing valid signals that the other would catch.
This indicator addresses that by combining both methods plus HOLP/LOHP detection, giving traders a comprehensive view of potential reversal points.
Why These Methods Work Together
Each fractal method has different characteristics:
1. 4-Bar Fractal (Hougaard Method) - Faster detection, identifies momentum shifts when close exceeds recent highs/lows. Best for catching early reversals.
2. Classic 5-Bar Fractal (Williams) - Traditional pivot detection requiring the middle bar to be the highest/lowest of 5 bars. Best for identifying significant swing points.
3. HOLP/LOHP - High of Low Period and Low of High Period signals identify when price makes a new extreme within a defined lookback. Best for trend exhaustion detection.
By combining these methods, traders can:
Use 4-bar fractals for early entry signals
Use 5-bar fractals for confirmation and stop placement
Use HOLP/LOHP for trend exhaustion warnings
How the Detection Works
4-Bar Fractal (Hougaard):
bool fractal4BuyBase = close > high and close > high
bool fractal4SellBase = close < low and close < low
Classic 5-Bar Fractal:
bool fractalHigh = high > high and high > high and high > high and high > high
bool fractalLow = low < low and low < low and low < low and low < low
Signal Types
4B (4-Bar Buy) - Close exceeds high and high - early bullish signal
4S (4-Bar Sell) - Close below low and low - early bearish signal
FH (Fractal High) - Classic 5-bar swing high - confirmed resistance
FL (Fractal Low) - Classic 5-bar swing low - confirmed support
HOLP - High of low period - potential bullish exhaustion
LOHP - Low of high period - potential bearish exhaustion
Dashboard Information
4-Bar Fractal - Count of bullish/bearish 4-bar fractals
Classic Fractal - Count of 5-bar fractal highs/lows
HOLP/LOHP - Reversal signal counts
Total Signals - Combined pattern count
How to Use This Indicator
For Counter-Trend Entries:
1. Wait for 4-bar fractal signal at key support/resistance
2. Confirm with 5-bar fractal forming nearby
3. Enter with stop beyond the fractal point
For Stop Placement:
1. Use 5-bar fractal highs/lows as stop-loss references
2. These represent confirmed swing points that should hold if trend continues
For Trend Analysis:
1. Track swing structure using fractal highs and lows
2. Higher fractal lows = uptrend structure
3. Lower fractal highs = downtrend structure
Input Parameters
Show 4-Bar Fractals (true) - Toggle Hougaard method signals
Show Classic Fractals (true) - Toggle Williams method signals
Show HOLP/LOHP (true) - Toggle exhaustion signals
ATR Filter (false) - Only show signals during volatile conditions
Swing Lines (true) - Connect significant swing points
Timeframe Recommendations
1H-Daily: Best for reliable fractal detection
15m-30m: More signals but higher noise
Weekly: Fewer but more significant fractals
Limitations
5-bar fractals have inherent 2-bar lag (need confirmation)
4-bar fractals can produce false signals in choppy markets
HOLP/LOHP signals work best at trend extremes
Not all fractals lead to significant reversals
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes.
This indicator does not constitute financial advice. Fractal detection does not guarantee reversals. Always use proper risk management.
- Made with passion by officialjackofalltrades
Eclipse Multi-Oscillator [JOAT]Eclipse Multi-Oscillator - Unified Momentum Confluence System
Introduction and Purpose
Eclipse Multi-Oscillator is an open-source indicator that combines four classic oscillators (RSI, Stochastic, CCI, and Williams %R) into a single unified view with confluence detection. The core problem this indicator solves is oscillator disagreement: traders often see RSI oversold while Stochastic is neutral, or CCI overbought while Williams %R is mid-range. This creates confusion about the true momentum state.
This indicator addresses that by displaying all four oscillators together and counting how many agree on overbought or oversold conditions, providing a clear confluence score that cuts through the noise.
Why These Four Oscillators Work Together
Each oscillator measures momentum differently, and their combination provides a more complete picture:
1. RSI (Relative Strength Index) - Measures the magnitude of recent price changes. Best at identifying momentum exhaustion.
2. Stochastic - Compares closing price to the high-low range. Best at identifying where price is within its recent range.
3. CCI (Commodity Channel Index) - Measures price deviation from statistical mean. Best at identifying unusual price movements.
4. Williams %R - Similar to Stochastic but inverted. Provides confirmation of Stochastic readings.
When 3 or more of these oscillators agree on overbought or oversold, the signal is significantly more reliable than any single oscillator alone.
How Confluence Scoring Works
The indicator counts how many oscillators are in extreme territory:
int obCount = 0
if rsi > rsiOB
obCount += 1
if stochK > stochOB
obCount += 1
if cci > cciOB
obCount += 1
if willRScaled > stochOB
obCount += 1
bool strongOverbought = obCount >= 3
bool strongOversold = osCount >= 3
The confluence score ranges from -4 (all oversold) to +4 (all overbought), with 0 being neutral.
Signal Types
Strong Oversold - 3+ oscillators below oversold threshold (potential bounce)
Strong Overbought - 3+ oscillators above overbought threshold (potential pullback)
OB/OS Exit - RSI leaving extreme zone with Stochastic confirmation (potential reversal)
Divergence - Price makes new high/low while RSI does not (potential reversal warning)
Dashboard Information
RSI/Stoch K/CCI/Will %R - Current values with zone status (OB/OS/MID)
Confluence - Overall bias (STRONG OS, STRONG OB, Lean Bull/Bear, Neutral)
OB Count - How many oscillators are overbought (0-4)
OS Count - How many oscillators are oversold (0-4)
How to Use This Indicator
For Reversal Trading:
1. Wait for Strong Oversold (3+ oscillators agree)
2. Look for bullish candlestick pattern or support level
3. Enter long with stop below recent low
4. Take profit when confluence returns to neutral or overbought
For Trend Confirmation:
1. Check confluence direction matches your trade bias
2. Avoid longs when confluence is strongly overbought
3. Avoid shorts when confluence is strongly oversold
For Divergence Trading:
1. Watch for "D" labels indicating RSI divergence
2. Bullish divergence at support = potential long
3. Bearish divergence at resistance = potential short
Input Parameters
RSI Length (14) - Period for RSI calculation
Stochastic K/D Length (14/3) - Periods for Stochastic
CCI Length (20) - Period for CCI
Williams %R Length (14) - Period for Williams %R
OB/OS Thresholds - Customizable levels for each oscillator
Timeframe Recommendations
15m-1H: Good for intraday momentum analysis
4H-Daily: Best for swing trading confluence
Very short timeframes may produce noisy signals
Limitations
All oscillators can remain in extreme territory during strong trends
Confluence does not predict direction, only identifies extremes
Divergence detection is simplified and may miss some patterns
Works best in ranging or moderately trending markets
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. The source code is fully visible and can be studied.
This indicator does not constitute financial advice. Oscillator confluence does not guarantee reversals. Past performance does not guarantee future results. Always use proper risk management.
- Made with passion by officialjackofalltrades
Aurora Volatility Bands [JOAT]Aurora Volatility Bands - Dynamic ATR-Based Envelope System
Introduction and Purpose
Aurora Volatility Bands is an open-source overlay indicator that creates multi-layered volatility envelopes around price using ATR (Average True Range) calculations. The core problem this indicator solves is that static bands (like fixed percentage envelopes) fail to adapt to changing market conditions. During high volatility, static bands are too tight; during low volatility, they're too wide.
This indicator addresses that by using ATR-based dynamic bands that automatically expand during volatile periods and contract during quiet periods, providing contextually appropriate support/resistance levels at all times.
Why These Components Work Together
The indicator combines three analytical approaches:
1. Triple-Layer Band System - Inner (1x ATR), Outer (2x ATR), and Extreme (3x ATR) bands provide graduated levels of significance
2. Volatility State Detection - Compares current ATR to historical average to classify market regime
3. Multiple MA Types - Allows customization of the center line calculation method
These components complement each other:
The triple-layer system gives traders multiple reference points - inner bands for normal moves, outer for significant moves, extreme for rare events
Volatility state detection tells you WHEN bands are expanding or contracting, helping anticipate breakouts or mean-reversion
MA type selection lets you match the indicator to your trading style (faster EMA vs smoother SMA)
How the Calculation Works
The bands are calculated using ATR multiplied by configurable factors:
float atr = ta.atr(atrPeriod)
float innerUpper = centerMA + (atr * innerMult)
float outerUpper = centerMA + (atr * outerMult)
float extremeUpper = centerMA + (atr * extremeMult)
Volatility state is determined by comparing current ATR percentage to its historical average:
float atrPercent = (atr / close) * 100
float avgAtrPercent = ta.sma(atrPercent, volatilityLookback)
float volatilityRatio = atrPercent / avgAtrPercent
bool isExpanding = volatilityRatio > 1.2 // 20%+ above average
bool isContracting = volatilityRatio < 0.8 // 20%+ below average
Signal Types
Band Touch - Price reaches inner, outer, or extreme bands
Mean Reversion - Price returns to center after touching outer/extreme bands
Breakout - Sustained move beyond outer bands during volatility expansion
Dashboard Information
Volatility - Current state (EXPANDING/CONTRACTING/NORMAL)
Vol Ratio - Current volatility vs average (e.g., 1.5x = 50% above average)
ATR - Current ATR value
ATR % - ATR as percentage of price
Zone - Current price position (EXTREME HIGH/UPPER ZONE/CENTER ZONE/etc.)
Position - Price position as percentage within band structure
Width - Total band width as percentage of price
Using SMA in settings:
How to Use This Indicator
For Mean-Reversion Trading:
1. Wait for price to touch outer or extreme bands
2. Check that volatility state is NORMAL or CONTRACTING (not expanding)
3. Look for reversal candlestick patterns at the band
4. Enter toward center MA with stop beyond the band
For Breakout Trading:
1. Wait for volatility state to show EXPANDING
2. Look for price closing beyond outer bands
3. Enter in direction of breakout
4. Use the band as trailing stop reference
For Volatility Analysis:
1. Monitor volatility ratio for regime changes
2. CONTRACTING often precedes large moves (squeeze)
3. EXPANDING confirms trend strength
Using VWMA and Mean Reversion Signal/MR:
Input Parameters
ATR Period (14) - Period for ATR calculation
Inner/Outer/Extreme Multipliers (1.0/2.0/3.0) - Band distance from center
MA Type (EMA) - Center line calculation method
MA Period (20) - Period for center line
Volatility Comparison Period (20) - Lookback for volatility state
Timeframe Recommendations
15m-1H: Good for intraday mean-reversion
4H-Daily: Best for swing trading and breakout identification
Weekly: Useful for position trading and major level identification
Limitations
ATR-based bands lag during sudden volatility spikes
Mean-reversion signals can fail in strong trends
Breakout signals may whipsaw in ranging markets
Works best on liquid instruments with consistent volatility patterns
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. The source code is fully visible and can be studied to understand how each component works.
This indicator does not constitute financial advice. Band touches do not guarantee reversals. Past performance does not guarantee future results. Always use proper risk management, position sizing, and stop-losses.
- Made with passion by officialjackofalltrades
Quantum Reversal Detector [JOAT]
Quantum Reversal Detector - Multi-Factor Reversal Probability Analysis
Introduction and Purpose
Quantum Reversal Detector is an open-source overlay indicator that combines multiple reversal detection methods into a unified probability-based framework. The core problem this indicator addresses is the unreliability of single-factor reversal signals. A price touching support means nothing without momentum confirmation; an RSI oversold reading means nothing without price structure context.
This indicator solves that by requiring multiple independent factors to align before generating reversal signals, then expressing the result as a probability score rather than a binary signal.
Why These Components Work Together
The indicator combines five analytical approaches, each addressing a different aspect of reversal detection:
1. RSI Extremes - Identifies momentum exhaustion (overbought/oversold)
2. MACD Crossovers - Confirms momentum direction change
3. Support/Resistance Proximity - Ensures price is at a significant level
4. Multi-Depth Momentum - Analyzes momentum across multiple timeframes
5. Statistical Probability - Quantifies reversal likelihood using Bayesian updating
These components are not randomly combined. Each filter catches reversals that others miss:
RSI catches momentum exhaustion but misses structural reversals
MACD catches momentum shifts but lags price action
S/R proximity catches structural levels but ignores momentum
Multi-depth momentum catches divergences across timeframes
Probability scoring combines all factors into actionable confidence levels
How the Detection System Works
Step 1: Pattern Detection
The indicator first identifies potential reversal conditions:
// Check if price is at support/resistance
float lowestLow = ta.lowest(low, period)
float highestHigh = ta.highest(high, period)
bool atSupport = low <= lowestLow * 1.002
bool atResistance = high >= highestHigh * 0.998
// Check RSI conditions
float rsi = ta.rsi(close, 14)
bool oversold = rsi < 30
bool overbought = rsi > 70
// Check MACD crossover
float macd = ta.ema(close, 12) - ta.ema(close, 26)
float signal = ta.ema(macd, 9)
bool macdBullish = ta.crossover(macd, signal)
bool macdBearish = ta.crossunder(macd, signal)
// Combine for reversal detection
if atSupport and oversold and macdBullish
bullishReversal := true
Step 2: Multi-Depth Momentum Analysis
The indicator calculates momentum across multiple periods to detect divergences:
calculateQuantumMomentum(series float price, simple int period, simple int depth) =>
float totalMomentum = 0.0
for i = 0 to depth - 1
int currentPeriod = period * (i + 1)
float momentum = ta.roc(price, currentPeriod)
totalMomentum += momentum
totalMomentum / depth
This creates a composite momentum reading that smooths out noise while preserving genuine momentum shifts.
Step 3: Bayesian Probability Calculation
The indicator uses Bayesian updating to calculate reversal probability:
bayesianProbability(series float priorProb, series float likelihood, series float evidence) =>
float posterior = evidence > 0 ? (likelihood * priorProb) / evidence : priorProb
math.min(math.max(posterior, 0.0), 1.0)
The prior probability starts at 50% and updates based on:
RSI extreme readings increase likelihood
MACD crossovers increase likelihood
S/R proximity increases likelihood
Momentum divergence increases likelihood
Step 4: Confidence Intervals
Using Monte Carlo simulation concepts, the indicator estimates price distribution:
monteCarloSimulation(series float price, series float volatility, simple int iterations) =>
float sumPrice = 0.0
float sumSqDiff = 0.0
for i = 0 to iterations - 1
float randomFactor = (i % 10 - 5) / 10.0
float simulatedPrice = price + volatility * randomFactor
sumPrice += simulatedPrice
float avgPrice = sumPrice / iterations
// Calculate standard deviation for confidence intervals
This provides 95% and 99% confidence bands around the current price.
Signal Classification
Signals are classified by confirmation level:
Confirmed Reversal : Pattern detected for N consecutive bars (default 3)
High Probability : Confirmed + Bayesian probability > 70%
Ultra High Probability : High probability + PDF above average
Dashboard Information
The dashboard displays:
Bayesian Probability - Updated reversal probability (0-100%)
Quantum Momentum - Multi-depth momentum average
RSI - Current RSI value with overbought/oversold status
Volatility - Current ATR as percentage of price
Reversal Signal - BULLISH, BEARISH, or NONE
Divergence - Momentum divergence detection
MACD - Current MACD histogram value
S/R Zone - AT SUPPORT, AT RESISTANCE, or NEUTRAL
95% Confidence - Price range with 95% probability
Bull/Bear Targets - ATR-based reversal targets
Visual Elements
Quantum Bands - ATR-based upper and lower channels
Probability Field - Circle layers showing probability distribution
Confidence Bands - 95% and 99% confidence interval circles
Reversal Labels - REV markers at confirmed reversals
High Probability Markers - Star diamonds at high probability setups
Reversal Zones - Boxes around confirmed reversal areas
Divergence Markers - Triangles at momentum divergences
How to Use This Indicator
For Reversal Trading:
1. Wait for Bayesian Probability to exceed 70%
2. Confirm price is at S/R zone (dashboard shows AT SUPPORT or AT RESISTANCE)
3. Check that RSI is in extreme territory (oversold for longs, overbought for shorts)
4. Enter when REV label appears with high probability marker
For Risk Management:
1. Use the 95% confidence band as a stop-loss reference
2. Use Bull/Bear Targets for take-profit levels
3. Higher probability readings warrant larger position sizes
For Filtering False Signals:
1. Increase Confirmation Bars to require more consecutive signals
2. Only trade when probability exceeds 70%
3. Require divergence confirmation for highest conviction
Input Parameters
Reversal Period (21) - Lookback for S/R and momentum calculations
Quantum Depth (5) - Number of momentum layers for multi-depth analysis
Confirmation Bars (3) - Consecutive bars required for confirmation
Detection Sensitivity (1.2) - Band width and target multiplier
Bayesian Probability (true) - Enable probability calculation
Monte Carlo Simulation (true) - Enable confidence interval calculation
Normal Distribution (true) - Enable PDF calculation
Confidence Intervals (true) - Enable confidence bands
Timeframe Recommendations
1H-4H: Best for swing trading reversals
Daily: Fewer but more significant reversal signals
15m-30m: More signals, requires higher probability threshold
Limitations
Statistical concepts are simplified implementations for Pine Script
Monte Carlo uses deterministic pseudo-random factors, not true randomness
Bayesian probability uses simplified prior/likelihood model
Reversal detection does not guarantee actual reversals will occur
Confirmation bars add lag to signal generation
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. The source code is fully visible and can be studied to understand how each component works.
This indicator does not constitute financial advice. Reversal detection is probabilistic, not predictive. The probability scores represent statistical likelihood based on historical patterns, not guaranteed outcomes. Past performance does not guarantee future results. Always use proper risk management, position sizing, and stop-losses.
- Made with passion by officialjackofalltrades
Photon Price Action Scanner [JOAT]Photon Price Action Scanner - Multi-Pattern Recognition with Adaptive Filtering
Introduction and Purpose
Photon Price Action Scanner is an open-source overlay indicator that automates the detection of 15+ candlestick patterns while filtering them through multiple confirmation layers. The core problem this indicator solves is pattern noise: raw candlestick pattern detection produces too many signals, most of which fail because they lack context. This indicator addresses that by combining pattern recognition with trend alignment, volume-weighted strength scoring, velocity confirmation, and an adaptive neural bias filter.
The combination of these components is not arbitrary. Each filter addresses a specific weakness in standalone pattern detection:
Trend alignment ensures patterns appear in favorable market structure
Volume-weighted strength filters out weak patterns with low conviction
Velocity confirmation identifies momentum behind the pattern
Neural bias filter adapts to recent price behavior to avoid counter-trend signals
What Makes This Indicator Original
While candlestick pattern scanners exist, this indicator's originality comes from:
1. Multi-Layer Filtering System - Patterns must pass through trend, strength, velocity, and neural bias filters before generating signals. This dramatically reduces false positives compared to simple pattern detection.
2. Adaptive Neural Bias Filter - A custom momentum-adjusted EMA that learns from recent price action using a configurable learning rate. This is not a standard moving average but an adaptive filter that accelerates during trends and smooths during consolidation.
3. Pattern Strength Scoring - Each pattern receives a strength score based on volume ratio and body size, allowing traders to focus on high-conviction setups rather than every pattern occurrence.
4. Smart Cooldown System - Prevents signal overlap by enforcing minimum bar spacing between pattern labels, keeping charts clean even when "Show All Patterns" is enabled.
How the Components Work Together
Step 1: Pattern Detection
The indicator scans for 15 candlestick patterns using precise mathematical definitions:
// Example: Bullish Engulfing requires the current bullish candle to completely
// engulf the previous bearish candle with a larger body
isBullishEngulfing() =>
bool pattern = close < open and close > open and
open <= close and close >= open and
close - open > open - close
pattern
// Example: Three White Soldiers requires three consecutive bullish candles
// with each opening within the previous body and closing higher
isThreeWhiteSoldiers() =>
bool pattern = close > open and close > open and close > open and
close < close and close < close and
open > open and open < close and
open > open and open < close
pattern
Step 2: Strength Calculation
Each detected pattern receives a strength score combining volume and body size:
float volRatio = avgVolume > 0 ? volume / avgVolume : 1.0
float bodySize = math.abs(close - open) / close
float baseStrength = (volRatio + bodySize * 100) / 2
This ensures patterns with above-average volume and large bodies score higher than weak patterns on low volume.
Step 3: Trend Alignment
Patterns are checked against the trend direction using an EMA:
float trendEMA = ta.ema(close, i_trendPeriod)
int trendDir = close > trendEMA ? 1 : close < trendEMA ? -1 : 0
Bullish patterns in uptrends and bearish patterns in downtrends receive priority.
Step 4: Neural Bias Filter
The adaptive filter uses a momentum-adjusted EMA that responds to price changes:
neuralEMA(series float src, simple int period, simple float lr) =>
var float neuralValue = na
var float momentum = 0.0
if na(neuralValue)
neuralValue := src
float error = src - neuralValue
float adjustment = error * lr
momentum := momentum * 0.9 + adjustment * 0.1
neuralValue := neuralValue + adjustment + momentum
neuralValue
The learning rate (lr) controls how quickly the filter adapts. Higher values make it more responsive; lower values make it smoother.
Step 5: Velocity Confirmation
Price velocity (rate of change) must exceed the average velocity for strong signals:
float velocity = ta.roc(close, i_trendPeriod)
float avgVelocity = ta.sma(velocity, i_trendPeriod)
bool velocityBull = velocity > avgVelocity * 1.5
Step 6: Signal Classification
Signals are classified based on how many filters they pass:
Strong Pattern : Pattern + strength threshold + trend alignment + neural bias + velocity
Ultra Pattern : Strong pattern + gap in same direction + velocity confirmation
Watch Pattern : Pattern detected but not all filters passed
Detected Patterns
Classic Reversal Patterns:
Bullish/Bearish Engulfing - Complete body engulfment with larger body
Hammer - Long lower wick (2x body), small upper wick, bullish context
Shooting Star - Long upper wick (2x body), small lower wick, bearish context
Morning Star - Three-bar bullish reversal with small middle body
Evening Star - Three-bar bearish reversal with small middle body
Piercing Line - Bullish candle closing above midpoint of previous bearish candle
Dark Cloud Cover - Bearish candle closing below midpoint of previous bullish candle
Bullish/Bearish Harami - Small body contained within previous larger body
Doji - Body less than 10% of total range (indecision)
Advanced Patterns (Optional):
Three White Soldiers - Three consecutive bullish candles with rising closes
Three Black Crows - Three consecutive bearish candles with falling closes
Tweezer Top - Equal highs with reversal candle structure
Tweezer Bottom - Equal lows with reversal candle structure
Island Reversal - Gap isolation creating reversal structure
Dashboard Information
The dashboard displays real-time analysis:
Pattern - Current detected pattern name or "SCANNING..."
Bull/Bear Strength - Volume-weighted strength scores
Trend - UPTREND, DOWNTREND, or SIDEWAYS based on EMA
RSI - 14-period RSI for momentum context
Momentum - 10-period momentum reading
Volatility - ATR as percentage of price
Neural Bias - BULLISH, BEARISH, or NEUTRAL from adaptive filter
Action - ULTRA BUY/SELL, BUY/SELL, WATCH BUY/SELL, or WAIT
Visual Elements
Pattern Labels - Abbreviated codes (BE=Engulfing, H=Hammer, MS=Morning Star, etc.)
Neural Bias Line - Adaptive trend line showing filter direction
Gap Boxes - Cyan boxes highlighting price gaps
Action Zones - Dashed boxes around strong pattern areas
Velocity Markers - Small circles when velocity confirms direction
Ultra Signals - Large labels for highest conviction setups
How to Use This Indicator
For Reversal Trading:
1. Wait for a pattern to appear at a key support/resistance level
2. Check that the Action shows "BUY" or "SELL" (not just "WATCH")
3. Confirm the Neural Bias aligns with your trade direction
4. Use the strength score to gauge conviction (higher is better)
For Trend Continuation:
1. Identify the trend using the Trend row in the dashboard
2. Look for patterns that align with the trend (bullish patterns in uptrends)
3. Ultra signals indicate the strongest continuation setups
For Filtering Noise:
1. Keep "Show All Patterns" disabled to see only filtered signals
2. Increase "Pattern Strength Filter" to see fewer, higher-quality patterns
3. Enable "Velocity Confirmation" to require momentum behind patterns
Input Parameters
Scan Sensitivity (1.0) - Overall detection sensitivity multiplier
Pattern Strength Filter (3) - Minimum strength score for strong signals
Trend Period (20) - EMA period for trend determination
Show All Patterns (false) - Display all patterns regardless of filters
Advanced Patterns (true) - Enable soldiers/crows/tweezer detection
Gap Analysis (true) - Enable gap detection and boxes
Velocity Confirmation (true) - Require velocity for strong signals
Neural Bias Filter (true) - Enable adaptive trend filter
Neural Period (50) - Lookback for neural bias calculation
Neural Learning Rate (0.12) - Adaptation speed (0.01-0.5)
Timeframe Recommendations
1H-4H: Best balance of signal frequency and reliability
Daily: Fewer but more significant patterns
15m-30m: More signals, requires tighter filtering (increase strength threshold)
Limitations
Pattern detection is mechanical and does not consider fundamental context
Neural bias filter may lag during rapid trend reversals
Gap detection requires clean price data without after-hours gaps
Strength scoring favors high-volume patterns, which may miss valid low-volume setups
- Made with passion by officialjackofalltrades
Seasonal Strategies V1Seasonal Strategies V1 is a rule-based futures seasonality framework built around predefined calendar windows per asset.
The strategy automatically detects the current symbol and activates long or short trading phases strictly based on historically observed seasonal tendencies. All entries and exits are fully time-based — no indicators, no predictions, no discretionary input.
Key Features
Asset-specific seasonal windows (MMDD-based)
Automatic long and short activation
Fully time-based entries and exits
One position at a time (no pyramiding)
Clean chart visualization using subtle background shading
No indicators, no filters, no curve fitting
Philosophy:
This strategy is designed as a structural trading tool, not a forecasting model.
It focuses on when a market historically shows seasonal tendencies — not why or how far price might move.
Seasonal Strategies V1 intentionally keeps the chart clean and minimal, making it suitable as a baseline framework for research, portfolio-style seasonal approaches, or further extensions in later versions.
Intended Use:
Futures and commodity markets
Seasonality research and testing
Systematic, calendar-driven strategies
Educational and analytical purposes
Disclaimer
This script is provided for educational and research purposes only.
Past seasonal tendencies do not guarantee future performance.
Risk management, position sizing, and portfolio decisions are the responsibility of the user.
Entropy Balance Oscillator [JOAT]
Entropy Balance Oscillator - Chaos Theory Edition
Overview
Entropy Balance Oscillator is an open-source oscillator indicator that applies chaos theory concepts to market analysis. It calculates market entropy (disorder/randomness), balance (price position within range), and various chaos metrics to identify whether the market is in an ordered, chaotic, or balanced state. This helps traders understand market regime and adjust their strategies accordingly.
What This Indicator Does
The indicator calculates and displays:
Entropy - Measures market disorder using return distribution analysis
Balance - Price position within the high-low range, normalized to -1 to +1
Lyapunov Exponent - Estimates sensitivity to initial conditions (chaos indicator)
Hurst Exponent - Measures long-term memory in price series (trend persistence)
Strange Attractor - Simulated attractor points for visualization
Bifurcation Detection - Identifies potential regime change points
Chaos Index - Combined entropy and volatility score
Market Phase - Classification as CHAOS, ORDER, or BALANCED
How It Works
Entropy is calculated using return distribution:
calculateEntropy(series float price, simple int period) =>
// Calculate returns and their absolute values
// Sum absolute returns for normalization
// Apply Shannon entropy formula: -sum(p * log(p))
float entropy = 0.0
for i = 0 to array.size(returns) - 1
float prob = math.abs(array.get(returns, i)) / sumAbs
if prob > 0
entropy -= prob * math.log(prob)
entropy
Balance measures price position within range:
calculateBalance(series float high, series float low, series float close, simple int period) =>
float range = high - low
float position = (close - low) / (range > 0 ? range : 1)
float balance = ta.ema(position, period)
(balance - 0.5) * 2 // Normalize to -1 to +1
Lyapunov Exponent estimates chaos sensitivity:
lyapunovExponent(series float price, simple int period) =>
float sumLog = 0.0
for i = 1 to period
float ratio = price > 0 ? math.abs(price / price ) : 1.0
if ratio > 0
sumLog += math.log(ratio)
lyapunov := sumLog / period
Hurst Exponent measures trend persistence:
H > 0.5: Trending/persistent behavior
H = 0.5: Random walk
H < 0.5: Mean-reverting behavior
Signal Generation
Phase changes and extreme conditions generate signals:
Chaos Phase: Normalized entropy exceeds chaos threshold (default 0.7)
Order Phase: Normalized entropy falls below order threshold (default 0.3)
Extreme Chaos: Entropy exceeds 1.5x chaos threshold
Extreme Order: Entropy falls below 0.5x order threshold
Bifurcation: Variance exceeds 2x average variance
Dashboard Panel (Top-Right)
Market Phase - Current phase (CHAOS/ORDER/BALANCED)
Entropy Level - Normalized entropy value
Balance - Current balance reading (-1 to +1)
Chaos Index - Combined chaos score percentage
Volatility - Current price volatility
Lyapunov Exp - Lyapunov exponent value
Hurst Exponent - Hurst exponent value
Chaos Score - Overall chaos assessment
Status - Current market status
Visual Elements
Entropy Line - Main oscillator showing normalized entropy
Entropy EMA - Smoothed entropy for trend reference
Balance Area - Filled area showing balance direction
Chaos/Order Thresholds - Horizontal dashed lines
Lyapunov Line - Step line showing Lyapunov exponent
Strange Attractor - Circle plots showing attractor points
Phase Space - Line showing phase space reconstruction
Phase Background - Background color based on current phase
Extreme Markers - X-cross for extreme chaos, diamond for extreme order
Bifurcation Markers - Circles at potential regime changes
Input Parameters
Entropy Period (default: 20) - Period for entropy calculation
Balance Period (default: 14) - Period for balance calculation
Chaos Threshold (default: 0.7) - Threshold for chaos phase
Order Threshold (default: 0.3) - Threshold for order phase
Lyapunov Exponent (default: true) - Enable Lyapunov calculation
Hurst Exponent (default: true) - Enable Hurst calculation
Strange Attractor (default: true) - Enable attractor visualization
Bifurcation Detection (default: true) - Enable bifurcation detection
Suggested Use Cases
Identify market regime for strategy selection (trend-following vs mean-reversion)
Watch for phase changes as potential trading environment shifts
Use Hurst exponent to assess trend persistence
Monitor chaos index for volatility regime awareness
Avoid trading during extreme chaos phases
Timeframe Recommendations
Best on 1H to Daily charts. Chaos metrics require sufficient data for meaningful calculations.
Limitations
Chaos theory concepts are applied as analogies, not rigorous mathematical implementations
Lyapunov and Hurst calculations are simplified approximations
Strange attractor visualization is conceptual
Bifurcation detection uses variance as proxy
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management.
- Made with passion by officialjackofalltrades
Velocity Divergence Radar [JOAT]
Velocity Divergence Radar - Momentum Physics Edition
Overview
Velocity Divergence Radar is an open-source oscillator indicator that applies physics concepts to market analysis. It calculates price velocity (rate of change), acceleration (rate of velocity change), and jerk (rate of acceleration change) to provide a multi-dimensional view of momentum. The indicator also includes divergence detection and force vector analysis.
What This Indicator Does
The indicator calculates and displays:
Velocity - Rate of price change over a configurable period, smoothed with EMA
Acceleration - Rate of velocity change, showing momentum shifts
Jerk (3rd Derivative) - Rate of acceleration change, indicating momentum stability
Force Vectors - Volume-weighted acceleration representing market force
Kinetic Energy - Calculated as 0.5 * mass (volume ratio) * velocity squared
Momentum Conservation - Tracks momentum relative to historical average
Divergence Detection - Identifies when price and velocity diverge at pivots
How It Works
Velocity is calculated as smoothed rate of change:
calculateVelocity(series float price, simple int period) =>
float roc = ta.roc(price, period)
float velocity = ta.ema(roc, period / 2)
velocity
Acceleration is the change in velocity:
calculateAcceleration(series float velocity, simple int period) =>
float accel = ta.change(velocity, period)
float smoothAccel = ta.ema(accel, period / 2)
smoothAccel
Jerk is the change in acceleration:
calculateJerk(series float acceleration, simple int period) =>
float jerk = ta.change(acceleration, period)
float smoothJerk = ta.ema(jerk, period / 2)
smoothJerk
Force is calculated using F = m * a (mass approximated by volume ratio):
calculateForceVector(series float mass, series float acceleration) =>
float force = mass * acceleration
float forceDirection = math.sign(force)
float forceMagnitude = math.abs(force)
Signal Generation
Signals are generated based on velocity behavior:
Bullish Divergence: Price makes lower low while velocity makes higher low
Bearish Divergence: Price makes higher high while velocity makes lower high
Velocity Cross: Velocity crosses above/below zero line
Extreme Velocity: Velocity exceeds 1.5x the upper/lower zone threshold
Jerk Extreme: Jerk exceeds 2x standard deviation
Force Extreme: Force magnitude exceeds 2x average
Dashboard Panel (Top-Right)
Velocity - Current velocity value
Acceleration - Current acceleration value
Momentum Strength - Combined velocity and acceleration strength
Radar Score - Composite score based on velocity and acceleration
Direction - STRONG UP/SLOWING UP/STRONG DOWN/SLOWING DOWN/FLAT
Jerk - Current jerk value
Force Vector - Current force magnitude
Kinetic Energy - Current kinetic energy value
Physics Score - Overall physics-based momentum score
Signal - Current actionable status
Visual Elements
Velocity Line - Main oscillator line with color based on direction
Velocity EMA - Smoothed velocity for trend reference
Acceleration Histogram - Bar chart showing acceleration direction
Jerk Area - Filled area showing jerk magnitude
Vector Magnitude - Line showing combined vector strength
Radar Scan - Oscillating pattern for visual effect
Zone Lines - Upper and lower threshold lines
Divergence Labels - BULL DIV / BEAR DIV markers
Extreme Markers - Triangles at velocity extremes
Input Parameters
Velocity Period (default: 14) - Period for velocity calculation
Acceleration Period (default: 7) - Period for acceleration calculation
Divergence Lookback (default: 10) - Bars to scan for divergence
Radar Sensitivity (default: 1.0) - Zone threshold multiplier
Jerk Analysis (default: true) - Enable 3rd derivative calculation
Force Vectors (default: true) - Enable force analysis
Kinetic Energy (default: true) - Enable energy calculation
Momentum Conservation (default: true) - Enable momentum tracking
Suggested Use Cases
Identify momentum direction using velocity sign and magnitude
Watch for divergences as potential reversal warnings
Use acceleration to detect momentum shifts before price confirms
Monitor jerk for momentum stability assessment
Combine force and kinetic energy for conviction analysis
Timeframe Recommendations
Works on all timeframes. Higher timeframes provide smoother readings; lower timeframes show more granular momentum changes.
Limitations
Physics analogies are conceptual and not literal market physics
Divergence detection uses pivot-based lookback and may lag
Force calculation uses volume ratio as mass proxy
Kinetic energy is a derived metric, not actual energy
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management.
- Made with passion by officialjackofalltrades
