High-Probability Scalper (Market Open)Market open is where volatility is real, spreads are tight, and momentum shows itself early. This scalping strategy is built specifically to operate during that window, filtering out low-quality signals that usually appear later in the session.
Instead of trading all day, the logic is restricted to the first 90 minutes after market open, where continuation moves and fast pullbacks are more reliable.
What This Strategy Does
This script looks for short-term momentum alignment using:
Fast vs slow EMA structure
RSI confirmation to avoid chasing extremes
ATR-based risk control
Session-based filtering to trade only when volume matters
It’s designed for intraday scalping, not swing trading.
Core Trading Logic
1. Market Open Filter
Trades are allowed only between 09:30 – 11:00 exchange time.
This avoids low-liquidity chop and focuses on the period where most breakouts and reversals form.
2. Trend Confirmation
Bullish bias: 9 EMA crosses above 21 EMA
Bearish bias: 9 EMA crosses below 21 EMA
This keeps trades aligned with short-term direction instead of random entries.
3. Momentum Check (RSI)
RSI is used as a quality filter, not as an overbought/oversold signal.
Long trades only when RSI is strong but not extended
Short trades only when RSI shows weakness without exhaustion
This removes late entries and reduces whipsaws.
Entries & Exits
Entries
Executed only on confirmed candles
No intrabar repainting
One position at a time
Risk Management
Stop-loss based on ATR
Take-profit calculated using a fixed risk–reward ratio
Same structure for both long and short trades
This keeps risk consistent across different symbols and volatility levels.
Why This Strategy Works Better at Market Open
Volume is highest
False breakouts are fewer
EMA crosses have follow-through
RSI behaves more cleanly
By not trading all day, the strategy avoids most of the noise that kills scalpers.
Best Use Cases
Index futures
High-liquidity stocks
Major crypto pairs during active sessions
1m to 5m timeframes
What This Strategy Is NOT
Not a martingale
Not grid-based
Not designed for ranging markets
Not a “set and forget” system
It’s a controlled scalping template meant for disciplined execution.
How to Use It Properly
Test on multiple symbols
Adjust ATR length for volatility
Tune RSI ranges per market
Always forward-test before live alerts
Final Note
This strategy focuses on structure, timing, and risk, not indicator stacking.
If you trade the open, this gives you a clear framework instead of emotional entries.
If you want:
Alerts
Session customization
News filters
Partial exits
You can extend this logic without breaking the core system.
Trading
Fractal Support & Resistance [JOAT]
Fractal Support & Resistance — Automatic Level Detection with Volume Weighting
Fractal Support & Resistance automatically identifies key price levels using a proprietary combination of fractal detection, volume analysis, and dynamic touch counting. Levels are intelligently styled based on their strength and how many times they have been tested, giving you instant visual feedback on level importance.
Why This Script is Protected
This script is published as closed-source to protect the proprietary level management algorithm and the unique volume-weighted strength calculation methodology from unauthorized republishing. The specific implementation of touch detection, level merging logic, and dynamic opacity calculations represents original work that differentiates this from standard fractal indicators.
What Makes This Indicator Unique
Unlike basic fractal indicators that simply mark pivot points, this system:
Tracks how many times each level has been tested (touch counting)
Weights level importance by volume at the fractal point
Merges nearby fractals into single levels instead of cluttering the chart
Dynamically adjusts visual opacity based on level strength
Provides zone boxes around levels for realistic price reaction areas
What This Indicator Does
Detects fractal pivot highs and lows to establish support and resistance levels
Tracks how many times each level has been touched or tested
Weights level importance by volume at the fractal point
Draws extending lines and zone boxes for each level
Dynamically adjusts level opacity based on touch count for visual strength indication
Provides a dashboard with nearest levels and counts
Core Methodology
The indicator uses Williams Fractal concepts as a foundation but extends them with proprietary enhancements:
Fractal Detection — Identifies pivot highs and lows where price creates local extremes with confirmation bars on each side. A fractal high requires the highest point with lower highs on both sides; a fractal low requires the lowest point with higher lows on both sides.
Level Clustering — New fractals within a tolerance zone (based on Zone Padding %) update existing levels rather than creating duplicates. This keeps the chart clean and focuses on significant price areas.
Volume Integration — Volume at each fractal point is accumulated to weight level significance. Higher volume fractals are considered more important.
Touch Tracking — The system monitors when price approaches existing levels and increments touch counts. More touches indicate stronger, more significant levels.
Visual Strength System
Level appearance changes dynamically based on market interaction:
Newer or less-tested levels appear more transparent (up to 80% transparency)
Each additional touch reduces transparency by 15%
Heavily tested levels become more prominent and opaque (minimum 20% transparency)
Labels display level number and touch count (e.g., "R1 (3)" = Resistance 1 with 3 touches)
Zone boxes provide visual areas around each level
Color Scheme
Resistance Color — Default: #FF5252 (red) — Used for resistance levels and zones
Support Color — Default: #4CAF50 (green) — Used for support levels and zones
Zone Fill — 90% transparent version of level color
Zone Border — 70% transparent version of level color
Labels — 30% transparent background with white text
Dashboard Information
The on-chart table (bottom-left corner) displays:
Number of active resistance levels meeting minimum touch requirement
Number of active support levels meeting minimum touch requirement
Nearest resistance level above current price
Nearest support level below current price
Inputs Overview
Fractal Settings:
Fractal Period — Bars on each side for fractal confirmation (default: 2, range: 1-10)
Max Levels Per Side — Maximum resistance and support levels to track (default: 5, range: 1-20)
Zone Padding (%) — Level zone width as percentage of price (default: 0.2%, range: 0-2%)
Filtering:
Volume Weight Levels — Toggle volume-weighted level importance (default: on)
Min Touches to Show — Filter out levels with fewer touches (default: 1, range: 1-10)
Lookback Period — Historical bars to analyze for level detection (default: 200, range: 50-500)
Visual Settings:
Resistance/Support Colors — Customizable color scheme
Show Zone Boxes — Toggle filled zone areas around levels
Show Level Labels — Toggle level labels with touch counts
Show Fractal Markers — Toggle small triangles at fractal points
Show Dashboard — Toggle the information table
Line Width — Thickness of level lines (default: 2, range: 1-5)
How to Use It
For Support/Resistance Trading:
Use levels with higher touch counts as stronger support/resistance references
More opaque levels have been tested more times and are more significant
Watch for price reactions at zone boundaries, not just exact level prices
Combine with candlestick patterns at levels for entry signals
For Breakout Trading:
Watch for breakouts when price closes beyond a level
Levels with many touches that finally break often produce strong moves
Use the zone box—a close beyond the zone is more significant than just touching the level
Set alerts for resistance/support breaks
For Target Setting:
Use the nearest resistance as a profit target for long positions
Use the nearest support as a profit target for short positions
Dashboard shows these levels for quick reference
Alerts Available
FSR Resistance Break — Price closes above a resistance level
FSR Support Break — Price closes below a support level
FSR New Fractal High — Fresh fractal high detected
FSR New Fractal Low — Fresh fractal low detected
Best Practices
Increase Fractal Period for fewer but more significant levels
Use Min Touches filter to show only well-tested levels
Volume weighting helps identify institutionally significant levels
Combine with trend indicators—trade with the trend at levels
This indicator is provided for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management before making trading decisions.
— Made with passion by officialjackofalltrades
Neural Trend Engine [JOAT]Neural Trend Engine - Multi-Layer Adaptive Trend Detection
Neural Trend Engine uses a multi-layer filtering approach inspired by neural network concepts. It combines multiple adaptive moving averages with proprietary momentum and volatility weighting to generate trend signals with reduced lag and improved confidence scoring.
Why This Script is Protected
This script is published as closed-source to protect the proprietary signal composition algorithm and the specific weighting methodology from unauthorized republishing. The unique combination of adaptive layer calculations, momentum normalization, and volatility integration represents original work that goes beyond standard indicator implementations.
What Makes This Indicator Unique
Unlike simple moving average crossover systems, Neural Trend Engine:
Uses three Kaufman Adaptive Moving Averages (KAMA) that automatically adjust their smoothing based on market efficiency
Combines layer alignment, momentum, and volatility into a single "neural signal"
Provides signal strength percentages so you know the conviction level of each signal
Creates a visual trend cloud that makes direction immediately obvious
What This Indicator Does
Plots three adaptive moving average "layers" that respond dynamically to market efficiency
Creates a trend cloud between fast and slow layers for visual trend identification
Generates weighted composite signals from layer alignment, momentum, and volatility
Displays buy/sell labels with signal strength percentages
Provides a comprehensive dashboard with multi-component breakdown
Colors the neural line and cloud based on current trend direction
Core Methodology
The indicator employs a three-layer adaptive system where each layer responds to market conditions at different speeds:
Fast Layer (default: 8) — Quick response for short-term direction changes
Medium Layer (default: 21) — Intermediate trend reference
Slow Layer (default: 55) — Long-term trend anchor
Each layer uses efficiency-based adaptation, meaning they become more responsive during trending conditions and smoother during choppy markets.
The neural signal is a proprietary composite that weighs three distinct market components:
Momentum Component (default: 40%) — Measures directional price velocity, normalized to its recent range
Trend Component (default: 35%) — Evaluates alignment between the three adaptive layers
Volatility Component (default: 25%) — Incorporates market volatility state into signal generation
These components are combined using a weighted formula that has been calibrated to balance responsiveness with noise reduction.
Signal Generation
Direction changes occur when the smoothed neural signal crosses a configurable strength threshold:
Bullish — Signal exceeds positive threshold with layer alignment confirmation
Bearish — Signal drops below negative threshold with layer alignment confirmation
Neutral — Signal remains within threshold range, indicating consolidation
Signal strength percentages indicate the conviction level of each signal, helping traders assess trade quality. Higher percentages suggest stronger trend conviction.
Visual Features
Trend Cloud — Filled area between fast and slow layers, colored by trend direction
Neural Line with Glow — Weighted average of all three layers with glow effect
Medium Layer — Subtle white line showing intermediate trend
Signal Labels — BUY/SELL labels with strength percentages at signal points
Small Markers — Alternative triangle markers when labels are disabled
Color Scheme
Bullish Color — Default: #26A69A (teal green) — Used for bullish trends and signals
Bearish Color — Default: #EF5350 (red) — Used for bearish trends and signals
Cloud Fill — 85% transparent version of trend color
Neural Line Glow — 60% transparent version for glow effect
Dashboard Information
The on-chart table (top-right corner) displays:
Current direction (BULLISH, BEARISH, or NEUTRAL)
Neural signal percentage
Layer alignment status (ALIGNED UP, ALIGNED DOWN, or MIXED)
Momentum direction and percentage
Trend strength percentage
Inputs Overview
Neural Layers:
Fast Layer — Period for fast adaptive MA (default: 8, range: 2-50)
Medium Layer — Period for medium adaptive MA (default: 21, range: 5-100)
Slow Layer — Period for slow adaptive MA (default: 55, range: 10-200)
Source — Price source for calculations (default: close)
Sensitivity:
Momentum Weight — Weight for momentum component (default: 0.4)
Trend Weight — Weight for trend/layer alignment (default: 0.35)
Volatility Weight — Weight for volatility component (default: 0.25)
ATR Period — Period for volatility calculations (default: 14)
Visual Settings:
Bullish/Bearish Colors — Customizable color scheme
Show Trend Cloud — Toggle the filled cloud area
Show Signal Labels — Toggle BUY/SELL labels with percentages
Show Neural Line — Toggle the main trend line
Show Dashboard — Toggle the information table
Alerts:
Await Bar Confirmation — Wait for bar close before triggering (recommended)
Min Signal Strength — Threshold for direction changes (default: 0.3 = 30%)
How to Use It
For Trend Following:
Follow the trend cloud color for overall market direction
Enter long when cloud turns bullish (teal) and signal strength is high
Enter short when cloud turns bearish (red) and signal strength is high
Use the neural line as a trailing stop reference
For Signal Trading:
Wait for BUY/SELL labels to appear
Check the signal strength percentage—higher is better
Confirm with dashboard showing aligned layers
Avoid signals during MIXED layer alignment
For Confirmation:
Use Neural Trend Engine to confirm signals from other systems
Strong confirmation when all three layers are aligned
Dashboard shows momentum and trend strength for additional context
Alerts Available
NTE Buy Signal — Bullish direction change detected
NTE Sell Signal — Bearish direction change detected
NTE Direction Change — Any trend direction change
Best Practices
Higher signal strength percentages indicate more reliable signals
Wait for layer alignment (shown in dashboard) before entering trades
Use on higher timeframes for more reliable trend identification
Combine with support/resistance levels for entry timing
This indicator is provided for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management before making trading decisions.
— Made with passion by officialjackofalltrades
VORB DJB Trades V1VORB by DJB Trades (Version 1) is a complete intraday framework built around the New York session Opening Range Breakout (ORB), combined with higher-timeframe VWAPs and precise Fair Value Gap mapping.
This tool is designed to give you context, levels and confluence at a glance – no more stacking 5 different indicators on your chart.
🔶 Core ORB Logic (NY Session)
• Uses the 09:30–09:45 NY time 15-minute ORB range.
• Draws an ORB box from high to low during the ORB window.
• Projects clean high/low ORB lines across the session (up to your chosen end time, default 18:00 NY).
• Displays the ORB size in points above the box
• 1 point = 4 ticks (futures-style logic).
This gives an instant sense of how “wide” or “tight” the opening drive was, and how much room you have for trend or mean-reversion plays.
📐 Daily VWAP (Intraday Bias)
• Custom anchor time (default 18:00, NY session close style).
• Plots Daily VWAP plus +/-1 standard deviation bands.
• Full styling controls: colors, line widths, band fill etc.
• You can limit visibility to specific timeframes via dropdown (e.g. only show on 1–5m, or just intraday).
VWAP +/-1 deviation bands gives you intraday bias and “fair value” zones to frame trades around the ORB.
🕒 Higher Timeframe VWAPs (Weekly, Monthly, Yearly)
All three higher-TF VWAPs are calculated the same way (volume-weighted, streaming) but anchored at different structural points:
• Weekly VWAP – resets at the start of each week
• Monthly VWAP – resets at the start of each month
• Yearly VWAP – resets at the start of each year
Each has:
• Main VWAP line
• ±/-1 standard deviation bands
• Independent color / width / band fill settings
• Timeframe visibility controls (“show from TF” & “show up to TF”) so you can do things like:
⁃ Weekly VWAP only from 5m and above
⁃ Monthly on 1h and higher
⁃ Yearly only on Daily/Weekly/Monthly
Use these as higher-timeframe bias references and key dynamic value areas above/below the ORB.
📊 1m FVGs (Outside ORB & VWAP Bands)
For precision entries:
• Detects 1-minute Fair Value Gaps (classic 3-candle pattern):
⁃ Bullish FVG: low > high
⁃ Bearish FVG: high < low
• Only plots FVGs that are:
⁃ Outside the ORB range, and
⁃ Outside the Daily VWAP +/-1 bands
• FVG boxes are auto-extended to the right (4× original width) for clear “liquidity pockets”.
• Separate colors for bullish and bearish FVGs.
This helps you focus only on “clean” imbalances away from the opening chop and mid-range value.
⚙️ Customisation & Use
• Works best on US indices, FX and futures during the NY session.
• Optimised for 1m–15m ORB trading, but higher-TF VWAPs shine on 5m, 15m, 1h and Daily.
• Every visual element (ORB box, lines, VWAPs, bands, FVGs, label text/bg) is fully customisable in the settings.
⚠️ Disclaimer
This script is for educational and informational purposes only.
It does not constitute financial advice or a signal service.
Always test on a demo account and use your own risk management before trading live.
ORACLE v13: The Gamified Market HUDORACLE v13 is not just an indicator; it is a complete Trading HUD (Heads-Up Display) that translates complex market data into an intuitive, video-game-style interface. It turns abstract concepts like "volatility" and "support/resistance" into actionable game mechanics, allowing you to react faster and trade smarter.
⚔️ Key Features:
🛡️ Boss & Shield Mechanics (Support/Resistance):
Automatic detection of key levels visualized as "Bosses" (Resistance) and "Shields" (Support).
HP System: Watch price "damage" these levels in real-time. When "Boss HP" hits zero, a breakout is imminent.
🔮 The Bestiary (Market Conditions):
Instantly identifies the "Enemy Type" you are fighting:
🟢 SLIME: Squeeze zone (low volatility, prepare for a move).
👺 GOBLIN: Chop/Noise (high risk, avoid trading).
🐉 DRAGON: Strong Trend (ride the momentum).
👹 BERSERKER: Extreme Volatility (proceed with caution).
📈 Live Structure Mapping:
Real-time ZigZag overlays with automatic HH/LL/LH/HL labels.
Breakout Flash: Candles flash WHITE instantly when major structure or Boss levels are broken.
🎮 Combat Stats:
Combo Counter: Tracks consecutive directional candles.
Aggro Meter: Visualizes volume intensity.
Loot Drop Rate: innovative metric calculating the probability of a profitable move based on current ATR.
Momentum Bar: RPG-style health bar for trend strength.
Why use ORACLE? Most indicators just draw lines. ORACLE gives you Context. It tells you exactly what kind of market environment you are in so you never bring a knife to a Dragon fight. Perfect for scalpers and day traders who need instant situational awareness.
Settings: Fully customizable Lookback periods, ZigZag sensitivity, and Visual Themes.
SterlCore FX Matrix [JOAT]
SterlCore FX Matrix is a multi-timeframe forex indicator that integrates market structure analysis, central bank policy proxies, currency strength correlation, session-based liquidity tracking, and volatility diagnostics into a single overlay system.
Note: This script is published as invite-only. Access requires authorization through the script's access control settings.
Why Invite-Only: The source code is protected to preserve proprietary calculation methods, composite scoring algorithms, and multi-module integration logic. The indicator combines several analytical approaches in a specific configuration that represents significant development effort. Invite-only access allows controlled distribution while maintaining the integrity of the implementation.
This Script has so much custom settings you can choose upon, to make it even more organized and tailored to your needs!
Custom settings with HeatMap and signals tailored to the daily timeframe and currency pair
## Core Functionality
This indicator addresses the challenge of synthesizing multiple analytical dimensions in forex trading. Currency markets operate across multiple timeframes simultaneously, with central bank policy shifts, cross-pair correlations, and session-specific liquidity patterns all influencing price action. Most indicators focus on a single dimension; this script attempts to integrate several.
What This Script Does:
Multi-timeframe structure analysis using synchronized EMAs across strategic (daily), tactical (4-hour), and execution (hourly) timeframes
Central bank policy pressure assessment through normalized currency index proxies
Real-time currency strength matrix tracking eight major currencies (USD, EUR, GBP, JPY, AUD, CAD, CHF, NZD)
Cross-pair correlation monitoring using configurable reference pairs
Session-based VWAP calculations with drift and range metrics for Asia, Europe, and US trading windows
Market structure detection including break-of-structure (BOS) confirmation, liquidity sweep identification, and RSI-based divergence alerts
Composite macro confluence score combining all modules with configurable weights
---
## Technical Architecture
### Multi-Timeframe Structure Lattice
The indicator calculates exponential moving averages (EMAs) across three timeframes:
Strategic EMA (default: Daily timeframe, 96-period EMA) — Anchors to longer-term monetary drift and macro flows
Tactical EMA (default: 4-hour timeframe, 55-period EMA) — Captures rotational pressure during positioning for economic data or policy events
Execution EMA (default: 1-hour timeframe, 21-period EMA) — Tracks microstructure in real time
An adaptive ATR-based channel surrounds the execution EMA to define a "value corridor" for entry consideration. Break-of-structure (BOS) logic requires price to close beyond prior swing highs/lows by a configurable ATR percentage threshold to reduce false breakouts.
### Policy Gradient & Carry Intelligence
The script uses currency index proxies (defaults: FX_IDC:EURUSD and FX_IDC:USDJPY ) to approximate central bank policy pressure. These proxies are smoothed via EMA and normalized over a lookback period.
The carryComposite calculation blends:
Normalized policy spread between base and quote currency proxies
Policy drift (difference between tactical and macro timeframe policy spreads)
Carry acceleration (rate of change in policy spread)
Carry opportunity signals appear when the composite exceeds a threshold and aligns with structure bias and currency strength dispersion.
### Currency Strength Matrix
Eight currency baskets are tracked using configurable symbol inputs (defaults use $FX_IDC pairs). Each currency's strength is normalized to a -1 to +1 scale relative to its lookback range. The heatmap table displays which currencies are dominating, allowing quick assessment of broad market moves before they appear in individual pair price action.
### Correlation Intelligence Grid
Three reference pairs (defaults: FX_IDC:EURUSD , FX_IDC:GBPUSD , FX_IDC:USDJPY ) are monitored on a higher timeframe. The script calculates correlation coefficients and assigns qualitative descriptors: "Lockstep +", "Aligned +", "Loose", "Aligned -", or "Lockstep -". A correlation consensus value feeds into the macro confluence calculation, dampening signals when reference pairs show conflicting behavior.
### Momentum, Volatility & Liquidity Stack
Dual ROC momentum — Fast and slow rate-of-change calculations prevent whipsaw from single-length oscillators
Volatility pulse — Compares current ATR to a slower baseline; signals require volatility above a floor threshold
Volatility forecast slope — Uses linear regression to project ATR 21 bars ahead, warning of imminent expansion or contraction
Liquidity pulse — Compares current volume to smoothed average; low participation is visually indicated via background tinting
### Session Awareness & Performance Console
Asia, Europe, and US trading sessions are tracked with configurable UTC windows. Each session maintains:
Live VWAP that resets at session open
Drift score quantifying price deviation from VWAP in ATR terms
Range percentage showing session expansion relative to VWAP
Session bias composite feeds into macro confluence to reduce signal aggression when all sessions are mean-reverting.
### Liquidity & Market Structure Suite
Liquidity sweeps — Detects stop hunts above prior highs or below prior lows within a configurable lookback
RSI divergence — Identifies momentum divergences using confirmed pivot points only
Supply/demand zones — Automatically generated from pivot highs/lows and projected forward for a set number of bars
### Macro Alignment Engine
The macroConfluence score combines:
Structure score (weighted average of strategic/tactical/execution EMAs)
Carry composite
Currency strength spread (base minus quote)
Momentum score
Liquidity modifier
Session bias composite
Correlation consensus
Long/short alignment signals require:
Macro confluence exceeding configurable threshold (default: 0.55)
Volatility pulse above floor threshold
Optional: Price above/below tactical EMA (execution filter toggle)
---
## Visual Elements
Candle Coloring: Candles are recolored based on macro confluence: teal for bullish alignment, magenta for bearish alignment, neutral gray for distribution phases.
Background Tint: Volatility intensity modulates chart background; bold colors indicate elevated ATR, washed-out tones suggest choppy conditions.
Labels:
Macro Align Long/Short — Primary entry signals when confluence exceeds threshold
BOS↑/↓ — Break-of-structure confirmation
Sweep↑/↓ — Liquidity sweep detection
RSI Bull/Bear Div — Momentum divergence alerts
Carry Bias± — Policy-strength alignment flags
Session Overlays: Transparent background shading indicates active trading sessions (Asia, Europe, US) with configurable opacity.
Session VWAPs: Each region's VWAP is plotted in a distinct color (teal for Asia, blue for Europe, purple for US).
## Dashboard Tables
The indicator includes several configurable information tables:
Intelligence Dashboard (top-right, default) — Displays strategic/tactical/execution bias, policy pressure, currency spread, volatility pulse, policy impulse, session drift, correlation, and macro state
Currency Heatmap (bottom-right, default) — Shows normalized strength values for all tracked currencies
Correlation Grid (bottom-left, default) — Lists reference pairs with correlation coefficients and qualitative states
Session Performance Panel (bottom-center, default) — Displays drift scores and range percentages for each session
Diagnostics Table (top-left, optional) — Additional session range metrics and liquidity pulse values
All table positions are configurable via input settings to avoid overlap with TradingView UI elements.
---
## Configuration Parameters
Multi-Timeframe Structure: All EMA timeframes and lengths are adjustable. Default strategic timeframe is Daily; tactical is 4-hour; execution is 1-hour.
Policy Proxies: Base and quote currency policy proxy symbols are user-configurable. Defaults use $FX_IDC pairs for broad compatibility.
Currency Strength: Each currency's tracking can be toggled on/off. Symbol inputs allow substitution of alternative data sources if default indices are unavailable.
Correlation References: Three reference pair symbols, timeframe, and lookback period are all configurable.
Signal Thresholds: Macro alignment trigger, volatility pulse floor, and carry opportunity threshold are adjustable to match different trading styles.
Visual Controls: Label visibility, zone display, session overlays, VWAP plotting, and all dashboard tables can be toggled independently.
---
## Technical Implementation Notes
Pine Script v6 compliant
All request.security calls use lookahead_off to prevent historical repainting
BOS, divergence, and sweep detection rely on confirmed pivot points only
Session VWAP calculations reset strictly on session boundaries
Zone objects are automatically capped and managed to respect TradingView resource limits
All calculations include division-by-zero guards and NA handling for real-time stability
---
## Usage Considerations
Timeframe Selection: The indicator is designed for forex pairs. Default timeframes (D/4H/1H) are optimized for swing and intraday trading. Scalpers may prefer shorter execution timeframes; position traders may extend strategic to weekly.
Pair Compatibility: Tested on major pairs ( FX:EURUSD , FX:GBPUSD , FX:USDJPY , OANDA:USDCHF , OANDA:AUDUSD , OANDA:USDCAD , OANDA:NZDUSD ), cross-pairs, and FX-derived CFDs. Policy proxy symbols should be adjusted to match your data feed availability.
Session Windows: Default UTC windows (Asia: 22:00-06:00, Europe: 06:00-13:00, US: 13:00-21:00) can be customized. Adjust for daylight saving time transitions as needed.
Signal Interpretation: Macro alignment signals indicate confluence across multiple dimensions but do not guarantee profitable outcomes. Use in conjunction with risk management and market context. The indicator is a tool for analysis, not a standalone trading system.
Resource Usage: With all features enabled, the script operates within TradingView's resource budgets. Disable unused modules (currency tracking, correlation grid, diagnostics) if running multiple instances on a single layout.
---
## Limitations & Compromises
Policy proxies are approximations using currency indices; actual central bank policy requires external economic analysis
Correlation calculations use price-based correlation, which may lag during regime shifts
Session VWAPs reset at session boundaries; overlapping sessions (e.g., London/NY) may show conflicting signals
Supply/demand zones are generated from pivots; false zones may appear during ranging markets
Macro confluence is a composite score; individual components may conflict, requiring discretionary interpretation
The indicator is optimized for trending and rotational markets. Performance may degrade during extended consolidation or during major economic event volatility when multiple central banks act simultaneously.
---
## Alert System
The script includes four alert conditions:
SterlCore FX Bullish Alignment — Fires when macro confluence exceeds threshold with volatility and EMA filters satisfied
SterlCore FX Bearish Alignment — Mirror of bullish logic
SterlCore FX Carry Long — Fires when carry composite, currency spread, and structure align for long bias
SterlCore FX Carry Short — Mirror of carry long logic
---
## Why This Approach
Forex markets require analysis across multiple dimensions simultaneously. A single timeframe or single indicator cannot capture the interplay between central bank policy expectations, cross-pair correlations, session-specific liquidity, and market structure. This script attempts to synthesize these elements into actionable signals while maintaining transparency about its limitations.
The composite scoring system allows traders to see when multiple factors align, reducing reliance on single-signal systems that may fail during regime changes. The modular design enables users to disable components that don't fit their trading style while retaining core functionality.
Adoptive Conditional range High/Low MA Crossover StrategyDeveloped from the doctoral research of Abu-Kadunagra at ****** University's in Australia, this strategy implements a "Campaign-Based Adaptive Execution" framework. It moves beyond simple entries and exits by treating each market engagement as a multi-phase campaign with distinct operational states. The system intelligently identifies cyclical turning points, then employs a feedback-driven approach to capital allocation—reinforcing successful momentum with pyramiding while deploying controlled defensive averaging during temporary setbacks. By anchoring its exit mechanism to dynamically updated market structure rather than static profit targets, the algorithm seeks to capture cyclical momentum while maintaining disciplined risk parameters. This research-driven approach represents an evolution toward state-aware algorithmic systems that adapt their tactics in real-time based on market phase recognition.
Iridescent Liquidity Prism [JOAT]Iridescent Liquidity Prism | Peer Momentum HUD
A multi-layered order-flow indicator that combines microstructure analysis, smart-money footprint detection, and intermarket momentum signals. The script uses dynamic color-shifting themes to visualize liquidity patterns, structure, and peer momentum data directly on the chart.
There is so much to choose from inside the settings, if you think it's a mess on the chart it's because you have to personally customize it based on your needs...
Core Functionality
The indicator calculates and displays several analytical layers simultaneously:
Order-Flow Imbalance (OFI): Calculates buy vs. sell volume pressure using volume-weighted price distribution within each bar. Uses an EMA filter (default: 55 periods) to smooth the signal. Values are normalized using standard deviation to identify significant imbalances.
Smart Money Footprints: Detects accumulation and distribution zones by comparing volume rate of change (ROC) against price ROC. When volume ROC exceeds a threshold (default: 65%) and price ROC is positive, accumulation is detected. When volume ROC is high but price ROC is negative, distribution is detected.
Fractal Structure Mapping: Identifies pivot highs and lows using a fractal detection algorithm (default: 5-bar period). Maintains a rolling window of recent structure points (default: 4 levels) and draws connecting lines to show trend structure.
Fair Value Gap (FVG) Detection: Automatically detects price gaps where three consecutive candles create an imbalance. Bullish FVGs occur when the current low exceeds the high two bars ago. Bearish FVGs occur when the current high is below the low two bars ago. Gaps persist for a configurable duration (default: 320 bars) and fade when price fills the gap.
Liquidity Void Detection: Identifies candles where the high-low range exceeds an ATR threshold (default: 1.7x ATR) while volume is below average (default: 65% of 20-bar average). These conditions suggest areas where liquidity may be thin.
Price/Volume Divergence: Uses linear regression to detect when price trend direction disagrees with volume trend direction. A divergence alert appears when price is trending up while volume is trending down, or vice versa.
Peer Momentum Heatmap (PMH): Calculates composite momentum scores for up to 6 symbols across 4 timeframes. Each score combines RSI (default: 14 periods) and StochRSI (default: 14 periods, 3-bar smooth) to create a momentum composite between -1 and +1. The highest absolute momentum score across all combinations is displayed in the HUD.
Custom settings using Fractal Pivots, Skeleton Structure, Pulse Liquidity Voids, Bottom Colorful HeatMaps, and Iridescent Field.
---
Visual Components
Spectrum Aura Glow: ATR-weighted bands (default: 0.25x ATR) that expand and contract around price action, indicating volatility conditions. The thickness adapts to market volatility.
Chromatic Flow Trail: A blended line combining EMA and WMA of price (default: 8-period EMA blended with WMA at 65% ratio). The trail uses gradient colors that shift based on a phase oscillator, creating an iridescent effect.
Volume Heat Projection: Creates horizontal volume profile bands at price levels (default: 14 levels). Scans recent bars (default: 150 bars) to calculate volume concentration. Each level is colored based on its volume density relative to the maximum volume level.
Structure Skeleton: Dashed lines connecting fractal pivot points. Uses two layers: a primary line (2-3px width) and an optional glow overlay (4-5px width) for enhanced visibility.
Fractal Markers: Diamond shapes placed at pivot high and low points. Color-coded: primary color for highs, secondary color for lows.
Iridescent Color Themes: Five color themes available: Iridescent (default), Pearlescent, Prismatic, ColorShift, and Metallic. Colors shift dynamically using a phase oscillator that cycles through the color spectrum based on bar index and a speed multiplier (default: 0.35).
---
HUD Console Metrics
The right-side HUD displays seven key metrics:
Flow: Shows OFI status: ▲ FLOW BUY when normalized OFI exceeds imbalance threshold (default: 2.2), ▼ FLOW SELL when below -2.2, or ◆ FLOW BAL when balanced.
Struct: Structure trend bias: ▲ STRUCT BULL when microtrend > 2, ▼ STRUCT BEAR when < -2, or ◆ STRUCT RANGE when neutral.
Smart$: Institutional activity: ◈ ACCUM when smart money index = 1, ◈ DISTRIB when = -1, or ○ IDLE when inactive.
Liquid: Liquidity state: ⚡ VOID when a liquidity void is detected, or ● NORMAL otherwise.
Diverg: Divergence status: ⚠ ALERT when price/volume divergence detected, or ✓ CLEAR when aligned.
PMH: Peer Momentum Heatmap status: Shows dominant timeframe and momentum score. Displays 🪩 for bull surge (above 0.55 threshold) or 🧨 for bear surge (below -0.55).
FVG: Fair Value Gap status: Shows active gap count or CLEAR when no gaps exist. Displays GAP LONG when bullish gap detected, GAP SHORT when bearish gap detected.
Pearlscent Color with Volume Heatmap.
Parameters and Settings
Microstructure Engine:
Analysis Depth: 20-250 bars (default: 55) - Controls OFI smoothing period
Liquidity Threshold ATR: 1.0-4.0 (default: 1.7) - Multiplier for void detection
Imbalance Ratio: 1.5-6.0 (default: 2.2) - Standard deviations for OFI significance
Smart Money Layer:
Smart Money Window: 10-150 bars (default: 24) - Period for ROC calculations
Accumulation Threshold: 40-95% (default: 65%) - Volume ROC threshold
Structural Mapping:
Fractal Pivot Period: 3-15 bars (default: 5) - Period for pivot detection
Structure Memory: 2-8 levels (default: 4) - Number of structure points to track
Volume Heat Projection:
Heat Map Lookback: 60-400 bars (default: 150) - Bars to analyze for volume profile
Heat Map Levels: 5-30 levels (default: 14) - Number of price level bands
Heat Map Opacity: 40-100% (default: 92%) - Transparency of heat map boxes
Heat Map Width Limit: 6-80 bars (default: 26) - Maximum width of heat map boxes
Heat Map Visibility Threshold: 0.0-0.5 (default: 0.08) - Minimum density to display
Iridescent Enhancements:
Visual Theme: Iridescent, Pearlescent, Prismatic, ColorShift, or Metallic
Color Shift Speed: 0.05-1.00 (default: 0.35) - Speed of color phase oscillation
Aura Thickness (ATR): 0.05-1.0 (default: 0.25) - Multiplier for aura band width
Chromatic Trail Length: 2-50 bars (default: 8) - Period for trail calculation
Trail Blend Ratio: 0.1-0.95 (default: 0.65) - EMA/WMA blend percentage
FVG Persistence: 50-600 bars (default: 320) - Bars to keep FVG boxes active
Max Active FVG Boxes: 10-200 (default: 40) - Maximum boxes on chart
FVG Base Opacity: 20-95% (default: 80%) - Transparency of FVG boxes
Peer Momentum Heatmap:
Peer Symbols: Comma-separated list of up to 6 symbols (e.g., "BTCUSD,ETHUSD")
Peer Timeframes: Comma-separated list of up to 4 timeframes (default: "60,240,D")
PMH RSI Length: 5-50 periods (default: 14)
PMH StochRSI Length: 5-50 periods (default: 14)
PMH StochRSI Smooth: 1-10 periods (default: 3)
Super Momentum Threshold: 0.2-0.95 (default: 0.55) - Threshold for surge detection
Clarity & Readability:
Liquidity Void Opacity: 5-90% (default: 30%)
Smart Money Footprint Opacity: 5-90% (default: 35%)
HUD Background Opacity: 40-95% (default: 70%)
Iridescent Field:
Field Opacity: 20-100% (default: 86%) - Background color intensity
Field Smooth Length: 10-200 bars (default: 34) - Smoothing for background gradient
---
Alerts
The indicator provides seven alert conditions:
Liquidity Void Detected - Triggers when void conditions are met
Strong Order Flow - Triggers when normalized OFI exceeds imbalance ratio
Smart Money Activity - Triggers when accumulation or distribution detected
Price/Volume Divergence - Triggers when divergence conditions occur
Structure Shift - Triggers when structure polarity changes significantly
PMH Bull Surge - Triggers when PMH exceeds positive threshold (if enabled)
PMH Bear Surge - Triggers when PMH exceeds negative threshold (if enabled)
Bull/Bear Prismatic FVG - Triggers when new FVG is detected (if FVG display enabled)
---
Usage Considerations
Performance may vary on lower timeframes due to the volume heat map calculations scanning multiple bars. Consider reducing heat map lookback or levels if experiencing slowdowns.
The PMH feature requires data requests to other symbols/timeframes, which may impact performance. Limit the number of peer symbols and timeframes for optimal performance.
FVG boxes automatically expire after the persistence period to prevent chart clutter. The maximum box limit (default: 40) prevents excessive memory usage.
Color themes affect all visual elements. Choose a theme that provides good contrast with your chart background.
The indicator is designed for overlay display. All visual elements are positioned relative to price action.
Structure lines are drawn dynamically as new pivots form. On fast-moving markets, structure may update frequently.
Volume calculations assume typical volume data availability. Symbols without volume may show incomplete data for volume-dependent features.
---
Technical Notes
Built on Pine Script v6 with dynamic request capability for PMH functionality.
Uses exponential moving averages (EMA) and weighted moving averages (WMA) for trail calculations to balance responsiveness and smoothness.
Volume profile calculation uses price level buckets. Higher levels provide finer granularity but require more computation.
Iridescent color engine uses a phase oscillator with sine wave calculations for smooth color transitions.
Box management includes automatic cleanup of expired boxes to maintain performance.
All visual elements use color gradients and transparency for smooth blending with price action.
---
Customization Examples
Intraday Scalping Setup:
Analysis Depth: 30 bars
Heat Map Lookback: 100 bars
FVG Persistence: 150 bars
PMH Window: 15 bars
Fast color shift speed: 0.5+
Macro Structure Tracking:
Analysis Depth: 100+ bars
Heat Map Lookback: 300+ bars
FVG Persistence: 500+ bars
Structure Memory: 6-8 levels
Slower color shift speed: 0.2
---
Limitations
Volume heat map calculations may be computationally intensive on lower timeframes with high lookback values.
PMH requires valid symbol names and accessible timeframes. Invalid symbols or timeframes will return no data.
FVG detection requires at least 3 bars of history. Early bars may not show FVG boxes.
Structure lines connect points but do not predict future structure. They reflect historical pivot relationships.
Color themes are aesthetic choices and do not affect calculation logic.
The indicator does not provide trading signals. All visual elements are analytical tools that require interpretation in context of market conditions.
Open Source
This indicator is open source and available for modification and distribution. The code is published with Pine Script v6 compliance. Users are free to customize parameters, modify calculations, and adapt the visual elements to their trading needs.
For questions, suggestions, or anything please talk to me in private messages or comments below!
Would love to help!
- officialjackofalltrades
Liquidity Maxing [JOAT]Liquidity Maxing - Institutional Liquidity Matrix
Introduction
Liquidity Maxing is an open-source strategy for TradingView built around institutional market structure concepts. It identifies structural shifts, evaluates trades through multi-factor confluence, and implements layered risk controls.
The strategy is designed for swing trading on 4-hour timeframes, focusing on how institutional order flow manifests in price action through structure breaks, inducements, and liquidity sweeps.
Core Functionality
Liquidity Maxing performs three primary functions:
Tracks market structure to identify when control shifts between buyers and sellers
Scores potential trades using an eight-factor confluence system
Manages position sizing and risk exposure dynamically based on volatility and user-defined limits
The goal is selective trading when multiple conditions align, rather than frequent entries.
Market Structure Engine
The structure engine tracks three key events:
Break of Structure (BOS): Price pushes beyond a prior pivot in the direction of trend
Change of Character (CHoCH): Control flips from bullish to bearish or vice versa
Inducement Sweeps (IDM): Market briefly runs stops against trend before moving in the real direction
The structure module continuously updates strong highs and lows, labeling structural shifts visually. IDM markers are optional and disabled by default to maintain chart clarity.
The trade engine requires valid structure alignment before considering entries. No structure, no trade.
Eight-Factor Confluence System
Instead of relying on a single indicator, Liquidity Maxing uses an eight-factor scoring system:
Structure alignment with current trend
RSI within healthy bands (different ranges for up and down trends)
MACD momentum agreement with direction
Volume above adaptive baseline
Price relative to main trend EMA
Session and weekend filter (configurable)
Volatility expansion/contraction via ATR shifts
Higher-timeframe EMA confirmation
Each factor contributes one point to the confluence score. The default minimum confluence threshold is 6 out of 8, but you can adjust this from 1-8 based on your preference for trade frequency versus selectivity.
Only when structure and confluence agree does the strategy proceed to risk evaluation.
Dynamic Risk Management
Risk controls are implemented in multiple layers:
ATR-based stops and targets with configurable risk-to-reward ratio (default 2:1)
Volatility-adjusted position sizing to maintain consistent risk per trade as ranges expand or compress
Daily and weekly risk budgets that halt new entries once thresholds are reached
Correlation cooldown to prevent clustered trades in the same direction
Global circuit breaker with maximum drawdown limit and emergency kill switch
If any guardrail is breached, the strategy will not open new positions. The dashboard clearly displays risk state for transparency.
Market Presets
The strategy includes configuration presets optimized for different market types:
Crypto (BTC/ETH): RSI bands 70/30, volume multiplier 1.2, enhanced ATR scaling
Forex Majors: RSI bands 75/25, volume multiplier 1.5
Indices (SPY/QQQ): RSI bands 70/30, volume multiplier 1.3
Custom: Default values for user customization
For crypto assets, the strategy automatically applies ATR volatility scaling to account for higher volatility characteristics.
Monitoring and Dashboards
The strategy includes optional monitoring layers:
Risk Operations Dashboard (top-right):
Trend state
Confluence score
ATR value
Current position size percentage
Global drawdown
Daily and weekly risk consumption
Correlation guard state
Alert mode status
Performance Console (top-left):
Net profit
Current equity
Win rate percentage
Average trade value
Sharpe-style ratio (rolling 50-bar window)
Profit factor
Open trade count
Optional risk tint on chart background provides visual indication of "safe to trade" versus "halted" state.
All visualization elements can be toggled on/off from the inputs for clean chart viewing or full telemetry during parameter tuning.
Alerts and Automation
The strategy supports alert integration with two formats:
Standard alerts: Human-readable messages for long, short, and risk-halt conditions
Webhook format: JSON-formatted payloads ready for external execution systems (optional)
Alert messages are predictable and unambiguous, suitable for manual review or automated forwarding to execution engines.
Built-in Validation Suite
The strategy includes an optional validation layer that can be enabled from inputs. It checks:
Internal consistency of structure and confluence metrics
Sanity and ordering of risk parameters
Position sizing compliance with user-defined floors and caps
This validation is optional and not required for trading, but provides transparency into system operation during development or troubleshooting.
Strategy Parameters
Market Presets:
Configuration Preset: Choose between Crypto (BTC/ETH), Forex Majors, Indices (SPY/QQQ), or Custom
Market Structure Architecture:
Pivot Length: Default 5 bars
Filter by Inducement (IDM): Default enabled
Visualize Structure: Default enabled
Structure Lookback: Default 50 bars
Risk & Capital Preservation:
Risk:Reward Ratio: Default 2.0
ATR Period: Default 14
ATR Multiplier (Stop): Default 2.0
Max Drawdown Circuit Breaker: Default 10%
Risk per Trade (% Equity): Default 1.5%
Daily Risk Limit: Default 6%
Weekly Risk Limit: Default 12%
Min Position Size (% Equity): Default 0.25%
Max Position Size (% Equity): Default 5%
Correlation Cooldown (bars): Default 3
Emergency Kill Switch: Default disabled
Signal Confluence:
RSI Length: Default 14
Trend EMA: Default 200
HTF Confirmation TF: Default Daily
Allow Weekend Trading: Default enabled
Minimum Confluence Score (0-8): Default 6
Backtesting Considerations
When backtesting this strategy, consider the following:
Commission: Default 0.05% (adjustable in strategy settings)
Initial Capital: Default $100,000 (adjustable)
Position Sizing: Uses percentage of equity (default 2% per trade)
Timeframe: Optimized for 4-hour charts, though can be tested on other timeframes
Results will vary significantly based on:
Market conditions and volatility regimes
Parameter settings, especially confluence threshold
Risk limit configuration
Symbol characteristics (crypto vs forex vs equities)
Past performance does not guarantee future results. Win rate, profit factor, and other metrics should be evaluated in context of drawdown periods, trade frequency, and market conditions.
How to Use This Strategy
This is a framework that requires understanding and parameter tuning, not a one-size-fits-all solution.
Recommended workflow:
Start on 4-hour timeframe with default parameters and appropriate market preset
Run backtests and study performance console metrics: focus on drawdown behavior, win rate, profit factor, and trade frequency
Adjust confluence threshold to match your risk appetite—higher thresholds mean fewer but more selective trades
Set realistic daily and weekly risk budgets appropriate for your account size and risk tolerance
Consider ATR multiplier adjustments based on market volatility characteristics
Only connect alerts or automation after thorough testing and parameter validation
Treat this as a risk framework with an integrated entry engine, not merely an entry signal generator. The risk controls are as important as the trade signals.
Strategy Limitations
Designed for swing trading timeframes; may not perform optimally on very short timeframes
Requires sufficient market structure to identify pivots; may struggle in choppy or low-volatility environments
Crypto markets require different parameter tuning than traditional markets
Risk limits may prevent entries during favorable setups if daily/weekly budgets are exhausted
Correlation cooldown may delay entries that would otherwise be valid
Backtesting results depend on data quality and may not reflect live trading with slippage
Design Philosophy
Many indicators tell you when price crossed a moving average or RSI left oversold. This strategy addresses questions institutional traders ask:
Who is in control of the market right now?
Is this move structurally significant or just noise?
Do I want to add more risk given what I've already done today/week?
If I'm wrong, exactly how painful can this be?
The strategy provides disciplined, repeatable answers to these questions through systematic structure analysis, confluence filtering, and multi-layer risk management.
Technical Implementation
The strategy uses Pine Script v6 with:
Custom types for structure, confluence, and risk state management
Functional programming approach for reusable calculations
State management through persistent variables
Optional visual elements that can be toggled independently
The code is open-source and can be modified to suit individual needs. All important logic is visible in the source code.
Disclaimer
This script is provided for educational and informational purposes only. It is not intended as financial, investment, trading, or any other type of advice or recommendation. Trading involves substantial risk of loss and is not suitable for all investors. Past performance, whether real or indicated by historical tests of strategies, is not indicative of future results.
No representation is being made that any account will or is likely to achieve profits or losses similar to those shown. In fact, there are frequently sharp differences between backtested results and actual results subsequently achieved by any particular trading strategy.
The user should be aware of the risks involved in trading and should trade only with risk capital. The authors and publishers of this script are not responsible for any losses or damages, including without limitation, any loss of profit, which may arise directly or indirectly from use of or reliance on this script.
This strategy uses technical analysis methods and indicators that are not guaranteed to be accurate or profitable. Market conditions change, and strategies that worked in the past may not work in the future. Users should thoroughly test any strategy in a paper trading environment before risking real capital.
Commission and slippage settings in backtests may not accurately reflect live trading conditions. Real trading results will vary based on execution quality, market liquidity, and other factors not captured in backtesting.
The user assumes full responsibility for all trading decisions made using this script. Always consult with a qualified financial advisor before making investment decisions.
Enjoy - officialjackofalltrades
Infinity Algo Backtest█ OVERVIEW
Infinity Algo Backtest is a strategy testing system with 5 entry modes, 6 take-profit levels, and optional Auto-Tune optimization (historical simulation).
Switch between trend-following, contrarian, and sniper entries within one strategy. Auto-Tune runs historical simulations across hundreds of parameter combinations and selects the best-scoring configuration based on your chosen metric (not predictive AI).
Includes trailing stop-loss options, optional add-on entries (pyramiding), and structured alert messages for automation.
█ KEY FEATURES
✅ 5 Entry Modes: Normal, Smart, AI, HL Sniper, AI Sniper
✅ 3 Exit Modes: Percentage targets, Signal step-outs, Opposite signal flip
✅ 6 Take-Profit Levels with customizable partial position sizing
✅ Trailing Stop-Loss (None / Breakeven / Moving Target)
✅ Auto-Tune Optimization (Walk-Forward or Static)
✅ Optional add-on entries (pyramiding)
✅ Structured alert messages for webhook automation
✅ Designed for crypto, forex, stocks, indices, and commodities
█ WHAT MAKES THIS STRATEGY DIFFERENT
🧠 Auto-Tune Engine
Unlike static strategies, this system tests 500+ parameter combinations — varying sensitivity (5-28), thresholds, and trigger configs — then selects the best-scoring settings from historical simulations.
Choose from 12 scoring metrics: Sharpe Ratio, Sortino Ratio, Calmar Ratio, SQN, Martin Ratio, GPR, Win Rate, Total Profit, Average Profit, Profit Factor, Sortino + Calmar Composite, and Robust Score.
Note: Auto-Tune is systematic parameter optimization on historical data — not predictive AI. Past performance does not guarantee future results.
🎯 Multi-Mode Entry System
Switch between trend-following, contrarian, and sniper modes — all within one strategy. No need to maintain multiple scripts.
🛡️ Adaptive Risk Management
Trailing SL modes that respond to your TP hits:
Breakeven: Locks in safety after your chosen TP is reached
Moving Target: Ratchets your stop to the previous TP level as profit grows
📊 Reproducible Results
Full transparency on strategy properties so you can replicate exact backtest conditions.
█ ENTRY ENGINES
Normal + Smart (Default)
Normal: Contrarian entries — momentum cross against the trend filter for reversal plays
Smart: Trend-following entries — momentum cross with the trend filter for continuation plays
Auto-Tune Mode
Tests 500+ parameter combinations against historical data
Simulates trades internally using your TP/SL configuration
Scores by your chosen metric (Sharpe, Sortino, Calmar, Win Rate, etc.)
Walk-Forward: Re-optimizes every N bars to adapt to regime changes
Static: Locks in best-scoring settings from full available history
HL Sniper
Trend-trigger mode for more selective entries
Fewer signals, but more selective setups
Auto-Tune Sniper
Optimizes RSI period, smoothing factor, and trigger sensitivity
Adapts sniper configuration based on historical performance
█ EXIT MODES
1) Percentage Targets
Up to 6 TP levels (TP1…TP6) with customizable partial exits
Configure both price distance (%) and position size (%) for each level
Designed for scaling out rather than all-in/all-out
2) Signal Step-Outs
Momentum-shift condition triggers partial exits
Optional higher-timeframe confirmation
"New TP Must Beat Last" prevents weak consecutive exits
3) Opposite Signal
Closes/flips position when the next opposite entry signal appears
Best for trend-following systems
█ USE CASES
📈 Trending Markets
Use "Smart" signals + Percentage TPs. Stay aligned with momentum while scaling out at multiple targets. Enable Moving Target trailing to lock in profits.
📉 Ranging / Choppy Markets
Use "Normal" signals (contrarian mode). Catch reversals at range boundaries. Tighter TP targets work better here.
⚡ High Volatility / News Events
Use "HL Sniper" for selective entries. Fewer signals, more selective. Wider SL to accommodate volatility.
🤖 Automation & Bots
Structured alert payloads work with popular bot platforms and custom webhooks. Entry + 6 TPs + SL in one alert.
█ HOW TO USE
Apply to your chart (any timeframe, any market)
Start with Entry Signals = "Normal + Smart", Exit Mode = "Percentage"
Pick your direction (Long / Short / Both)
Adjust signal thresholds and trend filter length to match your style
Configure TP% levels and Qty% — total should sum to 100%
Enable Stop-Loss and choose a trailing mode
Set commission and slippage in Strategy Properties for realistic results
Optional: Enable Auto-Tune for adaptive optimization
█ STRATEGY PROPERTIES
Default settings for reproducible backtests:
Initial capital: 10,000 USD
Order size type: Cash
Default order size: 10,000
Process orders on close: Enabled
Pyramiding: Controlled by "Allow Add-On Entries"
For realistic results, set commission and slippage in Strategy Properties to match your broker/exchange.
█ ALERTS & AUTOMATION
The strategy outputs structured alert payloads compatible with:
Popular bot platforms and webhook receivers
Custom automation systems (JSON format)
Setup: Create alert → Select "Order fills and alert() function calls" → Use {{strategy.order.alert_message}} placeholder
█ WORKS ON
Crypto
Forex
Stocks
Indices
Commodities
█ REALISTIC EXPECTATIONS
No strategy wins 100% of the time — this is no exception
Auto-Tune optimizes on past data — it cannot predict the future
Backtest results ≠ live results (fees, slippage, and emotions matter)
Always validate with out-of-sample data before going live
Use proper position sizing and risk management
█ LIMITATIONS
Backtests are simulations — results depend on market conditions, fees, slippage, and parameters
Auto-Tune can overfit if used without out-of-sample validation
Multi-timeframe exit logic confirms on higher-TF bar closes (slight delay expected)
Use standard candles/bars for strategy testing (avoid Heikin Ashi, Renko)
█ DISCLAIMER
This strategy is provided for educational and informational purposes only and does not constitute financial advice. Past performance is not indicative of future results. Trading involves substantial risk of loss, and you are solely responsible for your own trading decisions.
MarketMind LITEM🜁rketMind LITE ────────────────────
Essential Market Awareness, Reduced to Its Core
M🜁rketMind LITE is a lightweight market awareness tool designed to display essential situational context .
It provides basic orientation and movement awareness without interpretation, risk framing, diagnostics, or decision guidance.
This script is designed as a standalone awareness layer. It does not evaluate trade quality, issue signals, or influence decision-making.
WHAT IT DOES ────────────────────
M🜁rketMind LITE presents a minimal, static view of current market conditions focused entirely on awareness rather than analysis.
The system displays only essential context, allowing traders to stay oriented without introducing judgment, noise, or implied direction.
The script provides visibility into:
Time-of-day session context
Basic market regime classification (trending, range-bound, mixed)
Short-term momentum direction only (up, down, neutral)
A clean, static HUD display
M🜁rketMind LITE also includes a minimal visual state indicator that reflects recent price responsiveness, intended to be observed over time alongside the trader’s own experience.
The goal is to support awareness without influence .
HOW TO USE IT ────────────────────
M🜁rketMind LITE is not a signal generator.
It is designed to remain visible in the background of any chart, offering quiet orientation while traders rely entirely on their own process for analysis and execution.
Common use cases include:
Maintaining session awareness
Preserving context during focused trading periods
Reducing cognitive load while monitoring markets
M🜁rketMind LITE does not evaluate risk, alignment, or opportunity.
It simply shows what is happening.
DESIGN PHILOSOPHY ────────────────────
M🜁rketMind LITE is intentionally minimal.
It includes only essential awareness elements and excludes all interpretive or evaluative logic:
Situational context only
Directional momentum (up / down / neutral)
No diagnostics, confidence, or conviction framing
No process, risk, or quality assessment
Presentation controls only (HUD on/off, size, position)
Nothing is inferred.
Nothing is suggested.
This script shows market state without interpretation.
WHO IT IS FOR ────────────────────
M🜁rketMind LITE is suited for traders who:
Want passive situational awareness
Prefer minimal on-chart information
Already operate with a defined decision process
It is not designed for:
Analytical or diagnostic use
Risk evaluation or context synthesis
Traders seeking guidance or confirmation
IMPORTANT NOTES ────────────────────
M🜁rketMind LITE does not provide financial advice
No system can predict future price behavior
This tool is designed for awareness only
Used appropriately, M🜁rketMind LITE helps traders stay oriented without interference.
Open Interest Bubbles [BackQuant]Open Interest Bubbles
A visual OI positioning overlay that aggregates futures open interest across major venues, normalizes it into a consistent “signal strength” scale, then plots extreme events as bubbles, labels, and optional horizontal levels directly on price.
What this is for
Open interest is one of the cleanest ways to track when positioning is building, unwinding, or aggressively shifting. The problem is raw OI is noisy, exchange-specific, and hard to compare across time. This script solves that by:
- Aggregating OI across multiple exchanges.
- Letting you choose what “OI signal” you care about (raw, delta, percent versions).
- Normalizing the signal so “big events” are easy to spot.
- Plotting those events as bubbles and levels at the exact price they occurred.
You end up with a clean, fast visual map of where large positioning changes occurred, and where those events may later matter as reaction points.
────────────────────────────────────────────────────────────
Plotting types (what you can display)
Bubbles
This mode plots OI events as size-bucketed circles on the chart. Bigger bubbles represent stronger normalized events. You can tune:
- Bubble sizing by bucket (Tiny → Huge).
- Heatmap vs solid color styling.
- Signed vs unsigned coloring (positive/negative separation or magnitude-only).
Best use:
- Spotting “where something changed” at a glance.
- Identifying clusters of positioning events around key price zones.
- Seeing whether the market is repeatedly building/closing positions at similar levels.
Levels
Levels mode draws a horizontal line at the anchor price when an extreme OI event triggers. These act like “positioning memory” levels:
- They do not claim to be support/resistance by themselves.
- They highlight prices where the derivatives market clearly did something meaningful.
Best use:
- Marking potential reaction zones.
- Combining with your price action tools (structure, OBs, FVGs) to confirm whether an OI level aligns with a technical level.
- Building a “map” of where leverage likely entered or exited.
Modes available in the script:
- Off
- Bubbles
- Bubbles + Labels
- Labels Only
- Levels + Labels
────────────────────────────────────────────────────────────
Aggregated Open Interest source (multi-exchange)
This indicator builds a single aggregated OI series by requesting OI data from multiple exchanges and summing it. You can toggle exchanges on/off:
- Binance, Bybit, OKX, Bitget, Kraken, HTX, Deribit
You can also choose OI units:
- COIN , OI in base units (native sizing)
- USD , converted for a dollar-value representation
Important note:
Not every symbol has OI data on every venue. If the script cannot build an aggregated series for the symbol, it will throw an error rather than quietly plotting garbage.
────────────────────────────────────────────────────────────
OI Source, what the bubbles are measuring
You control what “signal” is normalized and plotted:
- Delta , change in aggregated OI from the prior bar.
Use when you want to highlight bursts of new positioning or sudden unwind events.
- Raw OI , the aggregated open interest level itself.
Use when you want to highlight absolute positioning build-up periods.
- Delta % , percent change in OI.
Use when you want moves normalized to the current OI regime, useful across different market eras.
- Raw OI % , percent change form of the raw series.
Use when you want relative changes rather than absolute size.
Practical guidance:
- Delta modes are best for “event detection”.
- Raw modes are better for “regime context” and whether positioning is structurally rising or fading.
────────────────────────────────────────────────────────────
Normalization (the key to making it readable)
Because OI varies massively across assets and time, the script includes multiple normalization modes to convert your chosen OI source into a comparable “strength” value.
Options:
- ZScore , deviation from a rolling mean in standard deviation units.
- StdNorm , scaled by rolling standard deviation.
- AbsZScore , absolute value version for magnitude-only mapping.
- AbsStdNorm , absolute value version for magnitude-only mapping.
- None , plots raw values (advanced users only, often too noisy visually).
Why this matters:
Normalization makes a “1.5” or “3.0” threshold mean something across different assets and timeframes, instead of being stuck to raw OI units.
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Threshold system (when bubbles/levels trigger)
The plot is driven by two user thresholds:
- Base Threshold
Controls where “meaningful” events start. Raising this reduces noise and focuses on larger deviations.
- Extreme Threshold
Controls what qualifies as a top-tier event. Extreme events are what you typically want to convert into labels and levels.
You also control side filtering:
- Both , show positive and negative events.
- Positive Only , show only increases (or positive signal side depending on source).
- Negative Only , show only decreases (or negative signal side).
In practice:
- Use Base Threshold to tune chart cleanliness.
- Use Extreme Threshold to mark only the “big stuff” that tends to matter later.
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Anchor Source (where the bubble/level is placed)
The indicator places bubbles, labels, and levels at a price anchor you choose:
- HL2, Close, Open, High, Low, VWAP
This is important because “where you pin the event” changes how it reads:
- Close is clean and consistent for backtesting and candle-close logic.
- High/Low can better represent where the fight occurred intrabar.
- VWAP can be useful for “fair price” anchoring in active markets.
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Style system (theme, palette, signed logic)
This script is built to look good and stay readable on busy charts.
Themes
- BackQuant, Classic, Ice, Fire, Mono, Custom
Palette Mode
- Solid , one consistent color
- Heatmap , intensity increases with magnitude
- Single Color Adaptive , adapts to chart background for clarity
Side Coloring
- Signed , positive and negative events can use different ramps
- Unsigned , magnitude-only coloring
Negative theme handling:
- Auto (mirrors your chosen theme),
- Invert (flips the ramp),
- Custom (fully user-defined negative palette).
What this gives you:
- You can run a clean “mono” look for professional charts.
- Or a high-contrast heatmap for fast scanning.
- Or fully custom branding colors for BackQuant-style presentation.
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Labels (what’s inside the label)
When labels are enabled, the script can display:
- OI , the aggregated OI value
- OI + Norm , OI plus normalized strength
- Norm Only , just the normalized strength
- Src + Norm , the selected source value (Delta, Raw, %) plus normalized strength
You can also control:
- Left/Center/Right label alignment
- Number formatting style (Raw, Compact, Volume format)
Best practice:
- Use “Src + Norm” when you want both the raw event size and its rarity.
- Use “Norm Only” when you want a clean, minimal chart.
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Levels and object limits (performance and cleanliness)
Because this script draws objects, it includes a hard cleanup system:
- You set Max Levels / Labels to control chart clutter.
- The script deletes older lines/labels when the limit is exceeded.
This is critical if you trade lower timeframes, where OI events can trigger frequently.
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How to interpret the signals
What a large bubble usually means:
- A statistically large positioning change relative to recent history.
- This can represent fresh leverage entering, forced liquidations, or aggressive de-risking, depending on direction and context.
How to use levels:
- Treat them as “attention levels”, not automatic entries.
- Combine them with structure and liquidity tools:
- If price revisits an OI level and shows rejection, it often confirms that level mattered.
- If price slices through with no reaction, it often indicates the OI event was transitional, not defended.
Common setups:
- Clustered extreme bubbles near a breakout zone, then retest later.
- Extreme negative event at capitulation low, followed by structure flip.
- Extreme positive build into resistance, then unwind and mean reversion.
Also, please check out @NoveltyTrade for the OI Aggregation logic & pulling the data source!
Here is the original script:
Cosmic Crypto Golden ZoneCosmic Crypto Golden Zone
## Overview
**Cosmic Crypto Golden Zone** is an all-in-one swing trading indicator designed to identify high-probability retracement entries using Fibonacci levels, multi-timeframe confluence, and a simple Buy/Sell scoring system. The indicator removes the guesswork from trading pullbacks by combining structure analysis, momentum indicators, and volume confirmation into a single, easy-to-read signal.
**Best Used For:** Swing trading on 15m, 1H, and 4H timeframes in crypto, forex, and stocks.
---
## Key Features
### 🎯 Golden Zone Detection
Automatically identifies the optimal entry zone (0.5 - 0.786 Fibonacci retracement) where price is most likely to reverse and continue the trend.
### 📊 Buy/Sell Scoring (1-10)
A simplified signal table that scores setups from 1-10, telling you exactly when to buy or sell without needing to interpret multiple indicators.
### 📈 Multi-Timeframe Confluence
Filters trades to align with the higher timeframe trend (default: 4H), ensuring you only trade in the dominant direction.
### 🔍 Structure Detection (HH/HL/LH/LL)
Tracks market structure with Higher Highs, Higher Lows, Lower Highs, and Lower Lows to determine trend direction.
### 💧 Liquidity Sweep Detection
Identifies when price sweeps beyond the 0.886 level (stop-hunting zone) and reclaims the entry zone—a premium reversal signal.
### 📉 RSI Divergence Detection
Spots bullish and bearish divergences within the golden zone for additional confirmation.
### 🛡️ Dynamic Stop Loss
ATR-based stop loss that adjusts to current volatility, protecting you in both calm and volatile markets.
### 🎯 Smart Take Profit
Calculates TP based on your chosen entry point (FOMO, ENTRY, or Average) with customizable Risk:Reward targeting.
---
## How to Read the Signal Table
The table in the bottom-right corner gives you everything you need at a glance:
| Row | What It Shows |
|-----|---------------|
| **BUY/SELL + Score** | Direction and strength (1-10) |
| **Action** | 🚀 NOW (8+), ✓ READY (6-7), 👀 WATCH (4-5), ⏳ WAIT (<4) |
| **Zone** | Whether price is IN the golden zone or waiting |
| **Entry / TP / SL** | Your exact trade levels |
| **R:R** | Risk-to-Reward ratio with quality indicator |
### Score Breakdown
| Score | Meaning | Action |
|-------|---------|--------|
| **8-10** | High conviction setup | Enter on next candle close |
| **6-7** | Good setup | Enter with confirmation candle |
| **4-5** | Possible setup | Wait for more confluence |
| **1-3** | Weak/No setup | Skip this trade |
---
## How to Use: Step-by-Step
### Step 1: Check the Trend Direction
Look at the **Structure** in the info display:
- **BULLISH** (HH + HL pattern) → Only look for BUY signals
- **BEARISH** (LL + LH pattern) → Only look for SELL signals
### Step 2: Wait for Price to Enter the Golden Zone
The golden zone is highlighted between the **FOMO (0.618)** and **ENTRY (0.786)** levels. The table will show "✓ IN ZONE" when price reaches this area.
### Step 3: Check Your Score
Wait for the Buy/Sell score to reach **6 or higher** before considering an entry. Higher scores = higher probability.
### Step 4: Look for Confirmation
The best entries have multiple confirmations:
- ✅ Score 6+
- ✅ In Golden Zone
- ✅ Stochastic oversold/overbought
- ✅ RSI Divergence (DIV label)
- ✅ Liquidity Sweep (LIQ label) — *Premium signal*
- ✅ Bullish/Bearish candle pattern
### Step 5: Execute the Trade
Use the levels shown on the chart and in the table:
- **Entry:** FOMO (aggressive) or ENTRY (conservative)
- **Stop Loss:** Below/above the SL line (red)
- **Take Profit:** At the TP line (green)
---
## Chart Labels Explained
| Label | Color | Meaning |
|-------|-------|---------|
| **FOMO: ** | Green | 0.618 Fib - Aggressive entry level |
| **ENTRY: ** | Yellow (Bold) | 0.786 Fib - Conservative entry level |
| **LIQ: ** | Red | 0.886 Fib - Liquidity/stop-hunt zone |
| **TP: ** | Green | Take Profit target |
| **SL: ** | Red (Bold) | Stop Loss level |
| **R:R ** | Green/Orange | Risk-to-Reward ratio |
| **HH/HL/LH/LL** | Various | Structure swing labels |
| **DIV** | Lime/Pink | RSI Divergence detected |
| **LIQ** (arrow) | Lime/Red | Liquidity sweep signal |
| **AE** | Green/Red | Williams Vix Fix Aggressive Entry |
| **B/S** | Green/Red | Buy/Sell signal with score |
---
## Recommended Settings
### For Crypto (BTC, ETH, Altcoins)
- **Timeframe:** 1H or 4H
- **HTF:** 4H or Daily
- **Use Logarithmic Fibs:** ✅ ON
- **TP R:R Target:** 2.0 - 3.0
### For Forex
- **Timeframe:** 15m or 1H
- **HTF:** 4H
- **Use Logarithmic Fibs:** ❌ OFF
- **TP R:R Target:** 1.5 - 2.0
### For Stocks
- **Timeframe:** 1H or Daily
- **HTF:** Daily or Weekly
- **Use Logarithmic Fibs:** ✅ ON
- **TP R:R Target:** 2.0
---
## Settings Reference
### Structure (ZigZag)
- **Left Bars:** Lookback period for pivot detection (default: 10)
- **Right Bars:** Confirmation bars (default: 2)
- **Show Swing Labels:** Display HH/HL/LH/LL markers
### Multi-Timeframe Confluence
- **Enable MTF Filter:** Only trade when aligned with HTF trend
- **Higher Timeframe:** The timeframe to check trend (default: 4H)
### ADX Trend Strength
- **Enable ADX Filter:** Filter out choppy/ranging markets
- **ADX Threshold:** Minimum ADX value for trend confirmation (default: 20)
### Auto Fib Settings
- **Use Logarithmic Fibs:** Better for large % moves (crypto/stocks)
- **Fib Length:** How far the fib lines extend
### Split-Entry Trade Planner
- **Entry 1 Ratio:** FOMO level (default: 0.618)
- **Entry 2 Ratio:** ENTRY level (default: 0.786)
- **TP Calculation Mode:** Base TP on ENTRY, FOMO, or Average
- **TP R:R Target:** Your desired risk-to-reward ratio
- **Use ATR-Based Dynamic SL:** Volatility-adjusted stop loss
- **SL ATR Multiplier:** How many ATRs below entry for SL
### Williams Vix Fix
- **Show Bullish/Bearish AE:** Aggressive entry signals based on volatility extremes
- **Only Show in Golden Zone:** Filter VixFix signals to golden zone only
---
## Pro Tips
### 1. The Liquidity Sweep is Gold
When you see the **LIQ** arrow after price wicks below 0.886 and reclaims 0.786, this is often the best entry. Stops have been hunted, weak hands are out, and smart money is entering.
### 2. Don't Fight the HTF Trend
If the 4H is bearish, don't take long signals on the 15m just because the score is high. Always align with the bigger picture.
### 3. Wait for "IN ZONE"
Patience pays. The best setups come when price actually pulls back to the golden zone. Chasing breakouts leads to poor R:R.
### 4. Score 6+ is the Minimum
Scores of 4-5 can work, but your win rate will be significantly higher waiting for 6+. Scores of 8+ are rare but highly reliable.
### 5. Use Multiple Timeframes
Check the setup on your trading timeframe AND one timeframe higher. If both show bullish structure with good scores, confidence is higher.
### 6. Respect the Stop Loss
The SL is placed below the liquidity zone for a reason. If price closes below it, the setup is invalidated. Don't move your stop.
---
## Alerts Available
- **High Confluence Long/Short** — When score reaches your threshold
- **Bullish/Bearish Liquidity Sweep** — Premium reversal signal
- **RSI Divergence Detected** — Divergence in golden zone
- **Williams Vix Fix AE** — Aggressive entry signal
---
## Credits
Created by **Cosmic Crypto**
Combines concepts from:
- Fibonacci Retracement Trading
- Smart Money Concepts (Liquidity Sweeps)
- Williams Vix Fix
- Multi-Timeframe Analysis
- Stochastic RSI
- ADX Trend Strength
---
*Trade responsibly. Past performance does not guarantee future results. Always use proper risk management.*
TDZZ ETH 15min Vault: No-Loss Martin Gale StrategyStrategy Overview
The ETH 15min Vault is an enhanced, high-frequency Martin Gale strategy designed specifically for Ethereum on the 15-minute chart. Its core innovation lies in integrating pre-calculated margin management with a multi-layer exit system, transforming the traditional high-risk Martingale approach into a controlled, calculated growth engine. The strategy aims for sustainable compound growth of small capitals (e.g., 1000U) in ranging markets while systematically eliminating the risk of account blow-up.
Core Concept: The "No-Loss" Guarantee
Unlike conventional Martingale systems that risk infinite losses, this strategy pre-calculates and logically reserves the total margin required for all potential layers (configurable, e.g., up to 30) at the initial entry. This ensures sufficient capital is always available for the next averaging order, preventing liquidation due to margin shortage. Combined with intelligent, proactive take-profit and safety-net closures, it creates a theoretically "No-Loss" framework for the Martin Gale method.
Key Mechanisms
1、Smart Position Averaging:
Averaging distances expand geometrically (configurable multiplier), preventing rapid layer depletion during sharp drops.
Averaging order size increases progressively (configurable multiplier) to effectively lower the break-even point.
2、Dynamic Multi-Stage Exit Logic:
Rebound TP: Partially closes a position when price rebounds a certain percentage from its entry, locking in profits early during oscillations.
Cycle TP: Closes the remaining position upon reaching the primary profit target, which is dynamically recalculated after each average to reflect the new aggregate cost.
Safety-Net Close (Defense Mode): Activates after a defined number of averages. Triggers a full exit if price: a) rallies significantly from the lowest point, b) retraces from a recent high, or c) fails to make a new low within a set time. This forms the final protective layer for capital preservation.
Main Advantages
✅ True Risk Isolation: Transforms Martingale's "unlimited risk" into a "defined and manageable drawdown" via pre-calculated margins and safety-net exits.
✅ Active Profit Capture: The "Rebound TP" mechanism increases win rate and capital efficiency in ranging markets.
✅ Adaptive to Volatility: Adjustable parameters for averaging distance and size allow tuning for different market conditions.
✅ High-Frequency Compounding Potential: Operates on the 15-min timeframe, offering numerous opportunities to complete profit cycles in consolidating phases.
Configuration & Parameters
Key adjustable inputs include: Initial Capital %, Averaging Distance % and Multiplier, Order Size Multiplier, Max Layers, Take-Profit %, Rebound Close %, and all Defense Mode thresholds.
This strategy significantly reduces liquidation risk through its design but does not eliminate trading risk. Substantial drawdowns can occur during strong, sustained trends. "No-Loss" refers to prevention of margin-call liquidation, not guaranteed profitability. Always conduct thorough backtesting and forward testing in a simulated environment before committing real capital. Past performance is not indicative of future results. Trade responsibly.
Context Bundle | VWAP / EMA / Session HighLow (v6)
📌 0DTE Context Bundle (v6)
**VWAP • EMA Cloud • Session High/Low (NY / London / Asia)
The **0DTE Context Bundle** is a *decision-making overlay*, not a signal spam indicator.
It’s designed to help traders clearly see **value, trend, and liquidity levels** across **New York, London, and Asia sessions** — all in one clean, customizable tool.
Built for **NQ, ES, Gold, and FX pairs**, with a focus on **5–15-minute execution charts**.
---
## 🔹 What This Indicator Shows
### ✅ VWAP + ATR Bands
* Session VWAP (fair value)
* ATR-based extension bands (1x / 2x)
* Helps identify **overextension, mean reversion zones, and trend pullbacks**
### ✅ EMA 9 / 21 Cloud
* Visual trend and momentum filter
* Custom colors + opacity
* Identifies **trend continuation vs chop**
### ✅ Session High / Low Levels
* **New York RTH**
* **London**
* **Asia (midnight-safe)**
* Optional previous session highs/lows
* Adjustable line styles, widths, colors, and extensions
### ✅ Anchored VWAP (Optional)
* Reset by:
* Daily
* NY session start
* London session start
* Asia session start
* Useful for tracking **session-specific value shifts**
---
## 🔹 How Traders Use It
This indicator is meant to answer:
* *Are we trading at value or extension?*
* *Is the market trending or rotating?*
* *Where is liquidity likely sitting right now?*
Common use cases:
* Trend pullbacks into VWAP or EMA cloud
* Reversal setups at session highs/lows
* Session breakout + retest confirmation
* Overnight context for London and Asia sessions
---
## 🔹 Customization & Flexibility
Every component can be toggled and styled:
* Colors, widths, line styles
* Cloud up/down colors + opacity
* Session visibility and extensions
* VWAP band multipliers and ATR length
Members can adapt it to **their own style**, market, and timeframe.
---
## ⚠️ Disclaimer
This indicator is provided for **educational and informational purposes only**.
It does **not** provide financial advice or trade signals.
Always manage risk and confirm entries with your own strategy.
True Three Soldiers Method (TTSM) - Breakout ConfirmationIndicator Overview
True Three Soldiers Method (TTSM) - Made in China is a quantifiable evolution beyond traditional candlestick pattern recognition. It replaces subjective visual analysis with an objective, data-driven momentum system featuring smart breakout confirmation.
Core Innovation: Beyond Traditional Pattern Recognition
Traditional three-soldier patterns merely check for three consecutive bullish/bearish candles. TTSM goes much deeper:
Dual Signal System: It identifies both single-candle and three-candle momentum signals, providing earlier warnings of potential trend changes.
Quantifiable Strength Metrics: Each signal must meet customizable thresholds for both absolute price movement (percentage change) and relative efficiency (close-to-open distance relative to total range).
Breakout Confirmation Logic: The real innovation lies in the "True Signal" mechanism. Preliminary signals are tracked, and only when price breaks above the highest high of recent bullish signals (or below the lowest low of recent bearish signals) does it trigger a confirmed entry signal. This eliminates false breakouts and ensures you're trading with confirmed momentum.
Absolute Strength: Quantifies momentum via percentage price change.
Relative Strength: Measures candlestick efficiency (close-to-open vs. total range).
True Signal Validation: A "True" entry signal triggers only after price confirms momentum by breaking above/below a cluster of recent preliminary signals, filtering out false moves.
Dual-Layer Signal System
Key Features
🔴 Amber Signals (Preparation): Single-candle or three-candle patterns that meet strength criteria. These indicate potential momentum building and can be used for preparation or light positioning.
🟢 Green Signals (True Breakout): Triggered only when price breaks above/below the recent signal cluster extremes. These represent confirmed momentum and are ideal for main entries.
🎚 Fully Customizable: Every parameter—absolute/relative strength thresholds, lookback periods, and average calculations—can be adjusted to match your trading style and market conditions.
📊 Clear Visual Feedback: Color-coded labels and reference lines make signal identification instant and intuitive.
Parameter Customization Guide
All parameters are organized in intuitive groups:
Strength Thresholds: Adjust absolute (%) and relative (%) strength requirements for both long and short signals.
First Signal Thresholds: Special thresholds for when a signal is the first in the lookback period.
Lookback & Averages: Control how many bars are considered for signal tracking and moving averages.
Strategic Application
Preparation Signals: Use amber signals to prepare for potential moves, set alerts, or enter with smaller positions.
True Signals: Green/red "True" signals indicate confirmed momentum—ideal for main entries with proper risk management.
Combination Strategy: Pair TTSM with trend indicators (like Supertrend) for higher probability trades—only take True Signals in the direction of the main trend.
Session Volume Profile Sniffer: HVN & Rejection ZonesA simple tool built for traders who rely on intraday volume structure.
What this script does
This script tracks volume distribution inside a selected session and highlights two key price levels:
High Volume Nodes (HVNs) — areas where price spent time building heavy participation.
Low Volume Nodes (LVNs) — thin zones where price moved quickly with very little interest.
Instead of plotting a full profile, this tool gives you the exact rejection-level lines you usually hunt manually.
Why these levels matter
HVN → price tends to react, stall, or flip direction
LVN → price often rejects strongly since liquidity is thin
Rejection patterns around these areas give clean entry signals
Positioning trades around HVN/LVN helps filter noise in choppy sessions
This script removes the trouble of drawing profiles, counting bins, or guessing node levels. Everything is calculated inside the session you choose.
How the detection works
Inside your session window, the script:
1. Tracks each tick-based price bucket
2. Accumulates raw volume for every bucket
Identifies:
HVNs = buckets with volume above a tier
LVNs = buckets with volume below a tier
3. Prints each level as a single clean line
4. Generates:
Long signal → bounce from LVN
Short signal → rejection from HVN
Built-in exits use ATR-based conditions for quick testing.
Features
Session-based volume mapping
HVN + LVN levels drawn automatically
Entry triggers based on rejection
ATR exits for experimental backtests
Clean, minimal visual output
Best use cases
Intraday futures
Index scalping
FX sessions (London / NY)
Crypto sessions (user-timed)
Anyone who trades around volume structure
Adjustable settings
Session window
Volume bin size
HVN multiplier
LVN multiplier
Enable/disable zone lines
This keeps it flexible enough for both scalpers and slow-paced intraday setups.
Important note
This script is built for study + idea testing.
It is not intended as a final system.
Once you identify how price behaves around these nodes, you can blend this tool into your own setup.
Trading Module [BackQuant]Trading Module
A modular overlay that lets you combine three core components, a Trend Model, an Impulse Model, and an optional Stop Loss framework, then layer in a multi-symbol RSI screener plus a full price action toolkit (market structure, FVGs, order blocks, volumetric S/R). Built for discretionary execution and study, not for blind automation.
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What this script is
This indicator is designed like a “module picker”. Instead of forcing one opinionated system, it gives you selectable models that can be combined into a workflow:
1) Trend Model , answers “what side is the market biased to?”
2) Impulse Model , answers “is there currently expansion, pressure, or a momentum event worth paying attention to?”
3) Stop Loss Layer , answers “where are reasonable invalidation zones if I’m managing risk manually?”
4) RSI Screener , answers “what are my watchlist assets doing right now, on multiple timeframes, in one place?”
5) Price Action Concepts , answers “what structure levels, imbalances, institutional zones, and volume-based levels matter?”
You can run it as a lightweight overlay (trend + impulse only), or turn on the heavier price action stack when you want deeper context.
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How to use it, the intended workflow
Step 1, pick your Trend Model
The trend model is your baseline directional filter. It is meant to reduce “random trading” by keeping you aligned with the dominant structure or momentum bias.
Trend Models (examples)
Typical usage:
- If the trend model reads bullish, you focus on long setups and avoid shorting into strength.
- If the trend model reads bearish, you focus on short setups and avoid catching bottoms.
- If the trend model is neutral or mixed, you reduce size or wait for confirmation.
What you can expect from the options (without exposing internal weighting or thresholds):
- Universal Trend+ , a composite trend regime model that blends multiple families of trend evidence. It is designed to be more robust than a single indicator and reduce “one-indicator failure modes”.
- EMA Cross , a classic fast vs slow trend bias. Simple, responsive, but can whipsaw in ranges.
- DEMA ATR , a smoother trend anchor that adapts to volatility. Often cleaner in chop than basic crosses.
- Relative Strength Overlay , a strength scoring style bias built from an RSI-style internal scoring process. Useful when you want “strength state” more than “moving average state”.
Color conventions:
- Long color and short color are user-defined, so you can keep consistent visuals across your BackQuant suite.
Step 2, pick your Impulse Model
Impulse is separate from trend on purpose. Trend answers direction, impulse answers timing. A market can be trending but not currently impulsing, or impulsing in a counter-trend squeeze.
Impulse Models (examples)
How to use impulse signals:
- Treat impulse as “permission” to engage, not as a standalone trade trigger.
- Best pairing is trend aligned impulse, meaning bullish trend model plus bullish impulse, bearish plus bearish.
- Counter-trend impulses can be used as warning signals, take-profit cues, or short-lived mean reversion opportunities, depending on your style.
The impulse options in this module are built around pressure and expansion detection. They are meant to identify moments where conditions shift from “noise” to “initiative activity”.
Step 3, choose a Stop Loss framework
This script includes optional stop visualization modes. These are not meant to be blindly used as a “one true stop”, they are tools for structuring invalidation around volatility or defined percentage bands.
Stop Loss (examples)
Stop loss options:
- None , no overlay.
- Dynamic , a volatility-aware band. Useful when you want stops to widen in high vol and tighten in low vol.
- Fixed , preset percentage bands. Useful for quick structure around risk units, scaling, or rule-based journaling.
- Bar-to-Bar , a micro-structure invalidation reference that uses the prior bar as a risk anchor. Useful for very tight management and fast invalidation.
How to apply them properly:
- Stops should be placed where the trade idea is wrong, not where you “feel pain”.
- A volatility stop is usually an environment stop, while a fixed stop is usually a plan stop.
- If you use impulses for entries, your stop should account for impulse volatility, otherwise you get stopped on the exact move you’re trying to capture.
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RSI Screener module
This module is built for scanning multiple symbols and timeframes from one chart, without switching tabs.
RSI Screener (example)
What it does:
- Lets you define up to 10 symbols (defaults to major crypto pairs).
- Each slot can have its own timeframe.
- Computes an RSI value per symbol and assigns a directional state relative to a midline threshold.
- Displays a stacked overlay readout using a monospace label style for quick scanning.
How to use it:
- Set slots 1–5 as your majors, 6–10 as your rotation candidates.
- Use higher timeframes for regime, lower timeframes for timing.
- Use the midline threshold as a “trend bias” line, not an overbought or oversold line.
- Treat the screener as context, not a signal. Your chart model and price action still decide the trade.
Performance note:
- Screeners are heavy by nature because each symbol is a security() request. Keep the number of enabled slots reasonable if you are on lower-end hardware or running many scripts.
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Price Action Concepts and Market Structure stack
This script includes a full price action toolkit intended to provide “where” context, levels, zones, and structural breaks, so the trend and impulse models are not operating in a vacuum.
Price Action Concepts / Market Structure (example)
This section is split into five major blocks:
1) Market Structure, Swing and Internal
You can enable swing structure and internal structure separately, with independent lookbacks.
- Swing structure tracks larger, slower pivots, better for macro trend structure.
- Internal structure tracks tighter pivots, better for entry timing and micro shifts.
It prints structure events as:
- BOS (Break of Structure), continuation-style break.
- MSB (Market Structure Break), shift-style break. Some traders call this CHoCH, here it’s presented as an MSB concept.
Usage:
- Swing BOS is good for confirming a larger regime.
- Internal structure is good for timing entries within the swing context.
- If internal flips but swing does not, treat it as a warning, not necessarily a full reversal.
2) Fair Value Gaps (FVG)
Optional imbalance boxes that highlight displacement zones.
Key controls:
- Timeframe selection (or current timeframe).
- How many to keep on chart.
- How far to extend them right.
Usage:
- FVGs are best treated as “areas of interest”, not guaranteed support/resistance.
- They help you frame where price might rebalance after an impulse event.
3) Order Blocks (OB)
Optional institutional-style zones detected from structure and candle logic, with filters.
Key controls:
- Fractal type (3 or 5) changes how “strict” structure detection is.
- Break method (close vs high/low) changes confirmation strictness.
- Optional filter with FVG distance to reduce low-quality blocks.
- Extend, delete-when-filled, and label options for chart hygiene.
Usage:
- OBs are strongest when aligned with swing context and confirmed by volume or displacement.
- Filled blocks are informational, they can be removed to reduce clutter.
4) Volumetric Support and Resistance
This module creates support and resistance “zones” based on high-volume pivot events, then manages them over time.
Key controls:
- Detection sensitivity, volume multiplier, and lookback period.
- Minimum distance between zones to avoid stacking duplicates.
- Remove broken, extend, and volume display toggles.
How to interpret:
- Levels are thicker zones, not single price lines.
- “Touches” are tracked as an interaction count, useful for identifying repeatedly defended or attacked zones.
- High-volume zones are visually emphasized, these tend to matter more than low volume pivots.
Usage:
- Pair volumetric levels with impulse signals, an impulse into a high-volume resistance zone is not the same as an impulse in open space.
- Use volumetric levels as structure anchors for invalidation and targets.
5) Alerts
The price action stack includes alerts for new levels, touches, breaks, and order block creation or interaction.
Use alerts for:
- Watchlist management, you get notified when price hits an area.
- Avoiding screen-watching, especially when you run multi-timeframe setups.
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Core philosophy of the module
This indicator is not “one model to rule them all”. It is meant to let you build a trading process:
- Trend decides bias.
- Impulse decides engagement timing.
- Price action decides location and structure.
- Stops decide risk containment.
- Screener decides where to look.
If you only use one layer, you are throwing away most of the edge this style of framework is designed to create. The strength is in confluence and filtering.
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Suggested presets
Preset A, clean trend-following overlay
- Trend Model, Universal Trend+ or DEMA ATR
- Impulse Model, either option
- Stop Loss, Dynamic
- Price action modules off (structure off, FVG off, OB off, volumetric off)
- Screener on (high timeframe)
Preset B, execution and structure mode
- Trend Model on
- Impulse Model on
- Market Structure on (swing + internal)
- FVG on (current timeframe or one higher)
- Order Blocks on with FVG filter
- Volumetric S/R on
- Stop Loss, Dynamic or Bar-to-Bar depending on speed
Preset C, watchlist scanner mode
- Screener on
- Minimal chart overlays on
- Use alerts for touches and breaks
- Only open charts that show alignment across trend and impulse
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Notes and limitations
- This is a heavy script when multiple modules are enabled, because it draws objects and can request multiple symbols.
- The models are designed to be modular, so not every combination will be optimal for every market or timeframe.
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Quick input map
Main Settings/Models
- Select Trend Model
- Select Impulse Model
- Select Stop Loss
- Show Screener
- Long/Short colors
Screener Settings
- Label size and offsets
- RSI length and midline
- Up to 10 symbol slots with per-slot timeframe and enable toggle
Market Structure
- Swing and internal structure mode and lookbacks
- Bull and bear colors
Fair Value Gaps
- Enable, count, timeframe, extend, colors
Order Blocks
- Enable, labels, fractal type, break method
- FVG filter and distance
- Lookback, extend, delete-when-filled, colors
Volumetric S/R
- Sensitivity, volume multiplier, analysis window
- Level limits, distance rules, extension and cleanup rules
- Volume display preferences
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End note
This is intended as a full visual decision-support module for discretionary traders who want trend, timing, structure, and watchlist scanning in one place. Use it to build a repeatable process, then validate that process with proper testing and journaling before risking real capital.
TRV & nTRV - Trimmed Range VolatilityGrid bots require stable volatility measurement - ATR becomes misleading when gaps and sudden spikes distort the average. TRV (Trimmed Range Volatility) is an advanced version of ATR: it filters outliers at the extremes (highest and lowest ranges) and remains unaffected by gaps. This provides real-time, accurate volatility measurement for grid bot setup.Grid bots require stable volatility measurement - ATR becomes misleading when gaps and sudden spikes distort the average. TRV (Trimmed Range Volatility) is an advanced version of ATR: it filters outliers at the extremes (highest and lowest ranges) and remains unaffected by gaps. This provides real-time, accurate volatility measurement for grid bot setup.
Why We Developed TRV?
When a gap or sudden spike occurs in the morning, this extreme movement affects standard ATR calculations for an extended period. Even if the price moves sideways for the rest of the day, ATR remains elevated. This causes grid bots to operate with unnecessarily wide spacing and execute fewer trades.
TRV Advantages:
✅ Unaffected by Gaps: Opening gaps don't distort the calculation
✅ Extreme Point Elimination: Filters the largest and smallest outlier candles
✅ Real-Time Accuracy: Shows current market volatility
✅ Grid Bot Optimization: Enables tighter and more efficient grid spacing
✅ Comparison Capability: Compare different stocks and timeframes with nTRV
Grid Bot Usage:
The TRV value is used directly to calculate the number of grid lines:
(Resistance - Support) / TRV = Number of Grid Lines
Example:
Resistance: $110
Support: $90
TRV: $2
Grid Count: (110-90)/2 = 10 grid lines
Features:
Two Filtering Modes: Manual (enter number) or Percentage-Based (automatic ratio)
Four Indicators in One: nTRV, TRV, ATR, and nATR all displayed on the same panel
nTRV: Normalized value (percentage-based, for stock comparison)
TRV: Absolute value (currency-based, for grid calculation)
ATR & nATR Included: Standard ATR and nATR for direct comparison with TRV
Comprehensive Analysis: Compare filtered (TRV) vs unfiltered (ATR) volatility side-by-side
Default: 10% top, 10% bottom outlier elimination
Conclusion:
TRV is an advanced version of ATR specifically designed for grid bot traders. By filtering outlier movements, it provides more stable and reliable volatility measurement. The indicator includes both TRV (filtered) and ATR (unfiltered) on the same chart, giving traders a comprehensive view to make informed decisions. This dual-display approach enables more efficient grid strategies and increased trading frequency.
Order Blocks v2This is a short code script that shows you a REAL Order Blocks.
There is many indicators that show you random blocks on the screen, these are by definition Order Blocks. The code is simple and short.
You can use this indicator as an extra confluence or as a place to put your stop losses or to put your stop losses in profit.
I recommend always keeping the "Consider order block only with following FVG" on, as the best Order Blocks are found with that setting on.
I have a lot more code i can share, use this and let me know how it works for you!
THE SETTINGS I USE ARE:
(NO) Only show on on time levels 3,7,11,14
fractal bars 3
Order blocks on break of Fractal close or HL Close
(YES) Consider order block only with following FVG
Max distance of FVG following Order Blocks 2
Oder Block Height Body
Dotted 13 length and 3 width
ForzAguanno - Premium / Discount (Range Glissant)Premium / Discount Zones – Dynamic Range (Fibo-based)
This indicator highlights Premium, Discount, and Equilibrium zones using a dynamic Fibonacci range calculated from recent price action.
It is designed to help traders contextualize price and avoid taking trades in unfavorable locations (e.g. buying too high or selling too low).
- How it works
The indicator automatically:
- Detects the highest high (HH) and lowest low (LL) over a rolling range
- Builds a Fibonacci-style structure between LL → HH
- Defines three key areas:
Discount Zone (lower part of the range)
Equilibrium Zone (around the 50% level)
Premium Zone (upper part of the range)
Two additional extreme levels are used:
0.075 → deep discount
0.925 → deep premium
These levels help isolate areas where price is statistically stretched.
- Visual elements
- Horizontal levels:
- Green → Discount
- Purple → Equilibrium
- Red → Premium
- Text labels are placed inside each zone for instant readability.
Zones are extended into the future for cleaner visualization.
- How to use it
This tool is best used as a context filter, not a standalone signal generator.
Typical use cases:
Look for longs in Discount
Look for shorts in Premium
Use Equilibrium as a neutral / decision zone
Combine with structure, momentum, or entry models
It works particularly well with:
Market structure concepts
Smart money / range-based trading
Session-based strategies
⚠️ Important notes
This indicator does not predict direction
It provides context, not signals
Always combine with proper risk management
Final thoughts
The goal of this indicator is simplicity and clarity:
Know where price is located inside its range before taking a trade.
If you find it useful, feel free to share feedback.
CloudScore by ExitAnt [Upgrade]📘 CloudScore PRO by ExitAnt (v13)
CloudScore PRO는 일목균형표(REAL Ichimoku Cloud)의 ‘진짜 상방 돌파’만을 감지하고,
여기에 총 10가지 추세·모멘텀·패턴·거래량 요소를 점수화하여 (0~9점)
현재 추세 전환의 강도를 직관적으로 알려주는 고급 추세 분석 지표입니다.
일목 구름은 본래 강력한 추세 전환 신호를 제공하지만
“위→안→위” 또는 “부분 돌파” 같은 왜곡 신호가 매우 많습니다.
v13은 이를 완전히 제거하고,
오직 아래→안→위 또는 아래→위(직통) 형태의 ‘진짜 돌파’에서만 점수를 계산합니다.
🎯 지표 목적
* 진짜 일목구름 돌파만 필터링하여 신뢰도 상승
* 10개 기술 요소의 점수화(0~9점)로 한눈에 추세 강도 판단
* 거짓 진입 신호(위→안→위) 완전 제거
* 점수 0일 때도 ‘🔴’로 명확하게 무효 신호 표시
* 초보자부터 숙련자까지 모두 활용 가능한 추세 진입 필터링 지표
🧠 점수 계산 방식 (가중치 기반)
구름 돌파가 유효하게 발생하면,
아래 10가지 조건을 체크하여 각 항목별 가중치 점수가 합산됩니다.
▶ 기존 +1 점 항목 (5개)
1. 골든 크로스 발생
Fast MA가 Slow MA를 최근 N봉 내 상향 돌파
2. RSI 과매도 구간
RSI < 설정값 → 반등 가능성 증가
3. MACD 강세 전환
MACD < 0 & 시그널 상향 돌파
4. RSI 상승 다이버전스
가격 하락, RSI 상승 → 바닥 가능성
5. 종가 > MA200
장기 추세와 일치하는 경우만 점수 강화
▶ 신규 +1 점 항목 (추가 5개)
6. ADX > 20 (추세 강도)
추세가 실제로 형성되고 있을 때
7. 거래량 스파이크 발생
거래량이 평균 대비 일정 배수 이상 증가 → 큰 매수 유입
8. Stochastic Oversold Cross
%K < 30에서 골든크로스 → 저점 반등 신호
9. Bollinger Band Rebound
이전 봉이 하단 밴드를 이탈하고, 현재 봉이 중심선을 회복한 경우
10. 강세 캔들 패턴 (Bullish Engulfing / Hammer 등)
강한 반전 패턴 발생 시
> 점수는 단순 +1 합산이 아니라
> 각 요소의 중요도에 따른 가중치 합산 방식으로 계산됩니다.
📊 점수별 이모지 (8단계)
| 점수 구간 | 이모지 | 의미 |
| -------- | ------ | -------------- |
| ≤ 0 | 🔴 | 무효 신호 |
| 0 ~ 1 | ⚪ | 매우 약함 |
| 1 ~ 2 | 🟡 | 약함 |
| 2 ~ 3 | 🟢 | 관찰 필요 |
| 3 ~ 4 | 🔵 | 양호 |
| 4 ~ 5 | 📈 | 추세 형성 |
| 5 ~ 6.5 | 🚀 | 매우 강함 |
| **6.5+** | **👑** | **최상급 고신뢰 구간** |
> 👑 이모지는 6.5점 초과에서만 표시되며,
> 여러 핵심 조건이 동시에 충족된 극소수 구간에서만 나타납니다.
🖥 차트 표시 요소
* REAL Ichimoku Cloud(미래 이동 없는 실제 구름)을 기반으로 계산
* TRUE breakout(아래 → 위 돌파) 시 캔들 위에 점수 이모지 표시
* 최근 N개의 캔들만 표시 가능
* 우측 상단에 현재 점수 요소 설명 패널 표시
* 점수 0점일 때도 🔴 표시하여 신호의 부재를 명확히 표현
* 위→안→위처럼 잘못된 돌파는 완전히 제외됨
🔧 사용자 설정
* Tenkan / Kijun / SenkouB 기간 설정
* 점수 요소 개별 활성화/비활성화
* 이모지 커스터마이즈
* 최근 몇 개의 캔들까지 표시할지 설정
* MA, RSI, MACD, ADX, Bollinger 등 점수 요소 사용자 정의 가능
⚠️ 유의사항
이 지표는 일목구름 돌파 기반의 확률적 보조 도구이며,
단독으로 매수·매도 결정을 내리는 용도로 사용해서는 안 됩니다.
* 시장 변동성
* 시간 프레임
* 거래량 환경
에 따라 신호 강도는 달라질 수 있습니다.
실제 매매 적용 전 반드시 백테스트 및 시뮬레이션을 권장합니다.
오케이. 그럼 **지금 네 코드(v13, 가중치 + 8단계 이모지 기준)** 와
**완전히 1:1로 맞는 영어 설명 최종본**을 줄게.
(퍼블릭 배포용으로 그대로 써도 되는 수준)
# 📘 **CloudScore PRO by ExitAnt (v13)**
CloudScore PRO is an advanced **Ichimoku-based trend scoring indicator**
that detects only **true, valid Ichimoku Cloud breakouts** and evaluates the
strength of the trend using a **weighted score system built from 10 technical components**.
Unlike standard Ichimoku signals — which often generate distorted breakouts such as
**“above → inside → above”** —
CloudScore PRO v13 **filters these out completely** and only accepts the following structures as valid breakouts:
* **below → inside → above**
* **below → above (direct breakout)**
This ensures that scoring is applied **only when a genuine trend transition occurs**.
## 🎯 Purpose of the Indicator
* Filter out false Ichimoku Cloud breakouts
* Evaluate trend strength using **10 weighted confirmation signals**
* Visualize trend quality instantly using **8-stage emoji scoring**
* Clearly mark invalid signals (score ≤ 0)
* Serve as a robust **entry filter** for both beginners and advanced traders
## 🧠 Scoring Logic (Weighted System)
When a valid cloud breakout occurs, CloudScore PRO evaluates the following
10 components and **adds weighted scores based on their importance**.
### ▶ Core Trend & Momentum Components (5)
1. **Golden Cross**
* Fast MA crosses above Slow MA within the defined lookback period
2. **RSI Oversold Condition**
* RSI below threshold, indicating potential reversal
3. **MACD Bullish Shift**
* MACD below zero with bullish signal-line crossover
4. **RSI Bullish Divergence**
* Price makes a lower low while RSI makes a higher low
5. **Close Above MA200**
* Price aligned with the long-term trend direction
### ▶ Additional Confirmation Components (5)
6. **ADX Trend Strength**
* Confirms that a real trend is forming
7. **Volume Spike**
* Significant increase in trading volume vs average
8. **Stochastic Oversold Cross**
* %K crosses upward below the 30 level
9. **Bollinger Band Rebound**
* Price recovers after breaking below the lower band
10. **Bullish Candlestick Pattern**
* Engulfing, Hammer, or similar reversal patterns
> Scores are **not simple +1 increments**.
> Each component contributes a **weighted value**, reflecting its real-world importance.
## 📊 Emoji Score System (8 Levels)
| Score Range | Emoji | Meaning |
| ----------- | ------ | ---------------------------------- |
| ≤ 0 | 🔴 | Invalid / no signal |
| 0 ~ 1 | ⚪ | Very weak |
| 1 ~ 2 | 🟡 | Weak |
| 2 ~ 3 | 🟢 | Moderate |
| 3 ~ 4 | 🔵 | Decent |
| 4 ~ 5 | 📈 | Trend forming |
| 5 ~ 6.5 | 🚀 | Very strong |
| **6.5+** | **👑** | **Premium, high-confidence setup** |
👑 **The crown emoji appears only when the total weighted score exceeds 6.5**,
meaning multiple high-importance conditions are aligned simultaneously.
This prevents “emoji inflation” and ensures that premium signals remain rare and meaningful.
## 🖥 Chart Features
* Uses **REAL Ichimoku Cloud** (no future displacement)
* Displays score emojis directly on breakout candles
* Supports LONG / SHORT / BOTH modes
* Optional display limited to the most recent N bars
* Top-right panel explains scoring structure and logic
* Completely ignores false breakouts (above → inside → above)
## 🔧 User Options
* Adjust Ichimoku, MA, RSI, MACD, ADX parameters
* Enable or disable individual scoring components
* Fully customize emoji symbols
* **Display only signals above a chosen minimum score**
* e.g. show only 👑 setups by setting minimum score to 6.5
## ⚠️ Disclaimer
CloudScore PRO is a **probability-based trend evaluation tool**,
not a standalone buy or sell signal.
Signal strength may vary depending on:
* Market volatility
* Timeframe
* Volume environment
Always perform proper backtesting and apply sound risk management
before using this indicator in live trading.
Daily Close Breakout 20/10 + 200 (Signals)Daily Close Breakout 20/10 + 200 (Signals)
A simple “check once per day” breakout signal tool designed for the Daily (1D) chart.
Quickstart:
* Signals are confirmed at the daily candle close.
* If a triangle prints today, the earliest you act is the next day’s open (not the same candle).
* Green triangle = consider entering long.
* Red triangle = consider exiting.
* Long-only (no shorts).
How to use:
* Use on the Daily (1D) timeframe.
* Check the chart once per day after the daily candle closes.
* Do not act intraday on signals.
Rules (default settings 20 / 10 / 200):
* BUY: A green up triangle prints when the daily close is above the prior 20-day high and above the 200-day Simple Moving Average.
* SELL: A red down triangle prints when the daily close is below the prior 10-day low.
Lines and colors:
* Prior 20-day high (entry level): red
* Prior 10-day low (exit level): yellow
* 200-day Simple Moving Average: aqua
Notes:
* Best used on the Daily (1D) timeframe. Other timeframes may behave differently.
* This script plots signals and reference levels only. For performance metrics, use a matching strategy/backtest script.
* Educational use only. Not financial advice.
