Seasonal Strategies V1Seasonal Strategies V1 is a rule-based futures seasonality framework built around predefined calendar windows per asset.
The strategy automatically detects the current symbol and activates long or short trading phases strictly based on historically observed seasonal tendencies. All entries and exits are fully time-based — no indicators, no predictions, no discretionary input.
Key Features
Asset-specific seasonal windows (MMDD-based)
Automatic long and short activation
Fully time-based entries and exits
One position at a time (no pyramiding)
Clean chart visualization using subtle background shading
No indicators, no filters, no curve fitting
Philosophy:
This strategy is designed as a structural trading tool, not a forecasting model.
It focuses on when a market historically shows seasonal tendencies — not why or how far price might move.
Seasonal Strategies V1 intentionally keeps the chart clean and minimal, making it suitable as a baseline framework for research, portfolio-style seasonal approaches, or further extensions in later versions.
Intended Use:
Futures and commodity markets
Seasonality research and testing
Systematic, calendar-driven strategies
Educational and analytical purposes
Disclaimer
This script is provided for educational and research purposes only.
Past seasonal tendencies do not guarantee future performance.
Risk management, position sizing, and portfolio decisions are the responsibility of the user.
Trading!
Trading Discipline Mirror How deciplined you are?
Trading Discipline Journal – Smart Feedback helps traders stay disciplined and emotionally controlled. Select your winning or losing reasons, and the indicator automatically calculates scores, evaluates your behavior, and gives clear feedback on whether you’re trading in a safe mindset or a risky one.
Volume Profile [Stansbooth]Volume Profile
What This Indicator Does ?
Volume Profile displays how trading volume is distributed across price levels for a selected period.
Instead of showing volume per candle only, it shows **where price attracted the most volume**, helping traders identify **important price zones**.
The indicator dynamically builds a **horizontal volume profile** using historical candle data and visually presents it behind price candles.
📊 Volume Profile Calculation Logic
* Volume is distributed across price levels based on how much of each candle overlaps a price row.
* Each candle’s volume is split equally across the price levels it touches.
* Bullish candles contribute volume to the **Buy Volume** array.
* Bearish candles contribute volume to the **Sell Volume** array.
* Total volume per level = Buy Volume + Sell Volume.
This creates a **precise volume-at-price profile**.
⏱️ Profile Period Modes
You can choose how the volume profile is calculated:
* **Visible Range** – Profile is calculated for all currently visible bars
* **Daily** – New profile starts each trading day
* **Weekly** – New profile starts each week
* **Monthly** – New profile starts each month
* **Session** – Profile resets on each new session
When a period ends, the completed profile is drawn and a new one starts automatically.
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🎯 POC & Value Area Logic
* **POC (Point of Control)**
* The price level with the **highest traded volume**
* Drawn as a horizontal line across the profile
* **Value Area**
* Covers the percentage of total volume defined by **Value Area %**
* Starts from the POC and expands upward and downward until the target volume is reached
* Areas outside the Value Area are visually dimmed
📐 Profile Drawing Behavior
* The profile width is proportional to volume strength:
* Higher volume = wider bar
* Lower volume = narrower bar
* Profile width is calculated using **time-based scaling**, ensuring stability across all timeframes
* Profiles can be placed on the **left or right side** of the chart
* Multiple past profiles can be displayed (limited by settings)
🕯️ Candle Volume Visualization
* Candle colors are dynamically adjusted based on **relative volume**
* Higher-than-average volume candles appear more intense
* Lower-volume candles appear more transparent
* Optional volume text can be displayed above candles
This helps visually confirm **strong vs weak price moves**.
🔍 High Volume Spike Detection
* Detects candles where volume exceeds a user-defined multiple of the 20-bar average
* Such candles are marked with a visual symbol below the bar
* Useful for spotting:
* Breakouts
* Institutional participation
* High-interest zones
📊 Bottom Volume Chart Logic
* Displays a volume histogram at the bottom of the chart
* Volume bars are dynamically scaled to price range
* Bullish and bearish candles use different colors
* Uses plot & fill logic, allowing **unlimited historical volume display**
🧭 How to Use This Indicator
1. **Identify High-Volume Zones**
* Use the widest profile areas to find strong support and resistance
2. **Trade Around the POC**
* Price often reacts, consolidates, or reverses near the POC
3. **Use Value Area for Bias**
* Price above Value Area → bullish bias
* Price below Value Area → bearish bias
4. **Confirm Moves with Candle Volume**
* Strong moves with high volume are more reliable
* Weak moves with low volume may fail
5. **Watch Volume Spikes**
* Spikes often precede major moves or reversals
Trend Identifier - v1.0📈 Market Structure Trend Identifier
This indicator identifies market trend using confirmed swing structure, based on body-only price action rather than wicks. It automatically classifies swings into Higher Highs (HH), Higher Lows (HL), Lower Highs (LH), and Lower Lows (LL) and derives the current trend state from structure progression.
🔍 How it works
Tracks confirmed swing highs and lows using candle bodies
Labels structure as HH / HL / LH / LL in real time
Determines trend state:
UPTREND → HH + HL progression
DOWNTREND → LH + LL progression
RANGE → mixed or broken structure
Includes CHOCH (Change of Character) logic to invalidate trends when structure is broken
Displays the current trend state directly on the chart
🧠 Why body-based structure?
Using candle bodies filters out wick noise and false extremes, producing cleaner and more reliable structure signals, especially in volatile markets.
🧭 How to use
Use the trend state to align entries with structure
Combine with supply & demand, support & resistance, or momentum tools
Ideal for top-down analysis and execution filtering
⚠️ Notes
Designed for structure identification, not trade signals
Works on any market and timeframe
Non-repainting: swings are confirmed only after structure completion
BOS Zones (Order Blocks) [VCAI]BOS Zones (Order Blocks)
BOS Zones (Order Blocks) is a market-structure visualiser that highlights Breaks of Structure (BOS) and automatically marks the price zones formed immediately before the break.
Instead of guessing where structure changed or manually drawing zones, this indicator does the work for you and keeps the chart clean.
What This Indicator Does
• Detects bullish and bearish Breaks of Structure
• Identifies the last opposing candle before the break
• Draws a clear zone (order-block style) from that candle
• Projects the zone forward for future interaction
• Optionally shows midlines for refined price reference
How to Read It
• Bullish BOS
When price breaks above a prior swing high, the indicator marks the last bearish candle before the break and draws a bullish zone.
• Bearish BOS
When price breaks below a prior swing low, the indicator marks the last bullish candle before the break and draws a bearish zone.
These zones often act as areas of interest where price may react, stall, or reverse.
Why This Is Useful
Most traders:
miss structure shifts
draw zones inconsistently
clutter charts with too many lines
BOS Zones gives you:
• Objective structure breaks
• Consistent zone placement
• Clean, readable visuals
• Fewer decisions, less noise
Customisation Options
• Control swing sensitivity
• Limit how many zones are displayed
• Toggle boxes, midlines, and markers
• Automatically clean old zones
Inputs are intentionally limited to avoid over-optimisation.
What This Indicator Is NOT
• No buy or sell signals
• No trade automation
• No prediction or future-looking logic
This is a structure and context tool, designed to support discretionary analysis.
Best Use Cases
• Market structure analysis
• Supply & demand / order block trading
• Confluence with trend tools
• Higher-timeframe bias mapping
Works across Crypto, Forex, Indices, and Commodities.
Final Note
This indicator does not repaint structure breaks once confirmed.
All zones are derived from historical price action only.
Dimensional Support ResistanceDimensional Support Resistance
Overview
Dimensional Support Resistance is an open-source overlay indicator that automatically detects and displays clean, non-overlapping support and resistance levels using pivot-based analysis with intelligent filtering. It identifies significant swing highs and lows, filters them by minimum distance to prevent visual clutter, and provides volume-confirmed bounce signals.
What This Indicator Does
The indicator calculates and displays:
Dynamic Pivot Levels - Automatically detected swing highs and lows based on configurable pivot strength
Distance Filtering - Ensures levels are spaced apart by a minimum percentage to prevent overlap
S/R Zones - Visual zones around each level showing the price area of significance
Bounce Detection - Identifies when price reverses at support or resistance levels
Volume Confirmation - Strong signals require above-average volume for confirmation
How It Works
Pivot detection scans for swing highs and lows using a configurable strength parameter. A pivot low requires the low to be lower than all surrounding bars within the strength period.
Signal Generation
The indicator generates bounce signals using TradingView's built-in pivot detection combined with candle reversal confirmation:
Support Bounce: Pivot low forms with bullish close (close > open)
Resistance Bounce: Pivot high forms with bearish close (close < open)
Strong Bounce: Bounce occurs with volume 1.5x above 20-period average
A cooldown period of 15 bars prevents signal spam.
Dashboard Panel
A compact dashboard displays:
Support - Count of active support levels
Resistance - Count of active resistance levels
Dashboard position is configurable (Top Left, Top Right, Bottom Left, Bottom Right).
Visual Elements
Support Lines - Green horizontal lines at support levels
Resistance Lines - Red horizontal lines at resistance levels
S/R Zones - Semi-transparent boxes around levels showing zone width
Price Labels - S: and R: labels showing exact price of nearest levels
BOUNCE Markers - Triangle shapes with text when price bounces at a level
STRONG Markers - Label shapes when bounce occurs with high volume
Input Parameters
Lookback Period (default: 100) - Historical bars to scan for pivots
Pivot Strength (default: 8) - Bars on each side required for valid pivot (higher = fewer but stronger levels)
Max Levels Each Side (default: 2) - Maximum support and resistance levels displayed
Zone Width % (default: 0.15) - Width of zones around each level as percentage of price
Min Distance Between Levels % (default: 1.0) - Minimum spacing between levels to prevent overlap
Show S/R Zones (default: true) - Toggle zone visualization
Show Bounce Signals (default: true) - Toggle signal markers
Support Color (default: #00ff88) - Color for support elements
Resistance Color (default: #ff3366) - Color for resistance elements
Suggested Use Cases
Identify key support and resistance levels for entry and exit planning
Use bounce signals as potential reversal confirmation
Combine with other indicators for confluence-based trading decisions
Monitor strong signals for high-probability setups with volume confirmation
Timeframe Recommendations
Works on all timeframes. Higher timeframes (4H, Daily) provide more significant levels with fewer signals. Lower timeframes show more granular structure but may produce more noise.
Limitations
Pivot detection requires lookback bars, so very recent pivots may not be immediately visible
Bounce signals are based on pivot formation and may lag by the pivot strength period
Levels are recalculated on each bar, so they may shift as new pivots form
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management and conduct your own analysis before trading.
- Made with passion by officialjackofalltrades
Nifty Darvas Box Long And Short SignalNifty Darvas Box Long And Short Signal – Smart Risk–Reward Indicator
This indicator is designed for traders who focus on clean entries, disciplined risk management, and long-term profitability rather than noisy buy/sell signals.
It is based on the Darvas Box breakout concept, enhanced with clear entry signals, fixed target & stop-loss visualization, and advanced performance metrics.
Key Features
1. Entry-Only Signals
Displays only ENTRY LONG and ENTRY SHORT signals for a clean and distraction-free chart.
No repeated BUY/SELL signals and only one active trade at a time.
2. Darvas Box Breakout Logic
Long entry is generated when price breaks above the previous Darvas High.
Short entry is generated when price breaks below the previous Darvas Low.
3. Clear Risk–Reward Visualization
Green shaded area represents the Target (Reward zone).
Red shaded area represents the Stop-Loss (Risk zone).
Both zones remain active until the trade is closed.
4. Automatic Trade Outcome Labels
Clearly marks each trade result with:
TARGET HIT or STOPLOSS HIT.
5. Live Performance Statistics on Chart
Displays real-time trading performance including:
Total Target Hit
Total StopLoss Hit
Win Rate (%)
6. Expectancy-Focused Design
Helps traders evaluate long-term profitability instead of relying only on win rate.
Disclaimer
This indicator is for educational purposes only and should not be considered financial advice. You should perform your own analysis before taking trades.
Yearly Projection ExplorerThis indicator helps you understand how the current market period has behaved historically by overlaying the same date window from previous years and projecting it forward from today’s price.
The script works the following way:
Aligns past years to today’s calendar date
Normalizes all paths to the last close at the start
Projects historical performance X bars forward
Displays each year as a separate performance path
Calculates and plots the mean (average) projection for quick reference
🔧 How It Works
Number of Years: choose how many past years to include (e.g. last 10, 20, or 25 years)
Projection Length: choose how many bars (days) ahead to project
Each line shows how the market moved during the same period in a specific year
Labels show the year and total return at the projection end
The mean line highlights the average historical outcome
🧠 Why This Is Useful
Identify seasonal tendencies
Compare current price action to historical analogs
Visualize best / worst historical outcomes
Set realistic expectations for short-term moves
Add context to discretionary or systematic decisions
This tool does not predict the future, but it provides a powerful historical framework to assess what has been typical, rare, or extreme for the current market window.
⚠️ Notes
Script works on timenow variable for now, and you might see unexpected periods if today is a day off.
Results depend on the selected timeframe and instrument
Past performance is not a guarantee of future results
Designed for analysis and context, not standalone signals
SnR Fresh & Unfresh Level Detector by RWBTradeLabSnR Fresh & Unfresh Level Detector by RWBTradeLab
A clean, non-repainting Support/Resistance level tracker built for price action traders who want to see which levels are still “Fresh” vs “Unfresh” — based strictly on CLOSED candle behavior with breakout and rejection state changes + alerts.
What this indicator does
This script detects 4 SnR level types from 2-candle sequences (CLOSED candles only), then continuously updates each level’s status as Fresh ↔ Unfresh depending on market interaction.
Level Creation
All levels are created using 2 CLOSED candles only (no running candle logic):
A Level
Green → Red
Level = 1st Green candle Close
V Level
Red → Green
Level = 1st Red candle Close
Bullish Gap Level
Green → Green
Level = 1st Green candle Close
Bearish Gap Level
Red → Red
Level = 1st Red candle Close
When a level is created, it starts as: Fresh
Fresh vs Unfresh Logic (Dynamic, continuous process)
This indicator continuously updates the SAME level over time:
Fresh → Unfresh (Rejection)
A level becomes Unfresh when a candle touches the level (wick touch) but closes back on the opposite side (rejection confirmed).
Unfresh → Fresh (Breakout)
A level becomes Fresh again when a candle closes through the level (confirmed breakout).
✅ This means a level can change state multiple times:
Fresh → Unfresh → Fresh → Unfresh … (based on confirmed candle behavior)
Visuals on chart
Each detected level is drawn as a horizontal Ray extended to the right.
Labels are drawn in a clean centered-box style:
* Fresh Level label = Green background + White text
* Unfresh Level label = Red background + White text
Labels are placed at the start (creation candle) of the level, not in the middle.
Labels are automatically positioned above/below based on level type:
* A Level / Bearish Gap labels above
* V Level / Bullish Gap labels below
Alerts (bar-close only)
Built-in alerts trigger only on CONFIRMED candles:
* Fresh Created (new level created)
* Fresh → Unfresh (rejection confirmed)
* Unfresh → Fresh (breakout confirmed)
No repainting, no running-bar alerts.
Key settings
Candle Length (Closed bars only): Scans and keeps levels created within the last N closed candles (running candle excluded).
Default: 20 (Min 5 / Max 100)
Show Fresh Levels: On/Off
Show Unfresh Levels: On/Off
Show Text Labels: On/Off
Label Offset (ticks): Adjust label distance for a cleaner chart
Max Levels To Keep: Performance safety cap to prevent excessive objects
Non-repainting confirmation
All levels, state changes, and alerts are calculated on confirmed bars only.
No repainting, no running-bar signals.
Best use
Works on any market and timeframe. For higher reliability, combine with:
Higher timeframe structure
Supply & Demand zones
Trend context and liquidity sweeps
Confirmation candles around key levels
Disclaimer
This indicator is a level-detection and state-tracking tool, not financial advice. Trading involves risk; always use proper risk management and confirm levels with your own analysis.
Creator: RWBTradeLab
If you find this useful, please leave a like ⭐ and share your feedback.
Pivot Point Zones [JOAT]Pivot Point Zones — Multi-Formula Pivot Levels with ATR Zones
Pivot Point Zones calculates and displays traditional pivot points with five formula options, enhanced with ATR-based zones around each level. This creates more practical trading zones that account for price noise around key levels—because price rarely reacts at exact mathematical levels.
What Makes This Indicator Unique
Unlike basic pivot point indicators, Pivot Point Zones:
Offers five different pivot calculation formulas in one indicator
Creates ATR-based zones around each level for realistic reaction areas
Pulls data from higher timeframes automatically
Displays clean labels with exact price values
Provides a comprehensive dashboard with all levels
What This Indicator Does
Calculates pivot points using Standard, Fibonacci, Camarilla, Woodie, and more formulas
Draws horizontal lines at Pivot, R1-R3, and S1-S3 levels
Creates ATR-based zones around each level for realistic price reaction areas
Displays labels with exact price values
Updates automatically based on higher timeframe closes
Provides fills between zone boundaries for visual clarity
Pivot Formulas Explained
// Standard Pivot - Classic (H+L+C)/3 calculation
pp := (pivotHigh + pivotLow + pivotClose) / 3
r1 := 2 * pp - pivotLow
s1 := 2 * pp - pivotHigh
r2 := pp + pivotRange
s2 := pp - pivotRange
// Fibonacci Pivot - Uses Fib ratios for level spacing
r1 := pp + 0.382 * pivotRange
r2 := pp + 0.618 * pivotRange
r3 := pp + 1.0 * pivotRange
// Camarilla Pivot - Tighter levels for intraday
r1 := pivotClose + pivotRange * 1.1 / 12
r2 := pivotClose + pivotRange * 1.1 / 6
r3 := pivotClose + pivotRange * 1.1 / 4
// Woodie Pivot - Weights current close more heavily
pp := (pivotHigh + pivotLow + 2 * close) / 4
// TD Pivot - Conditional based on open/close relationship
x = pivotClose < pivotOpen ? pivotHigh + 2*pivotLow + pivotClose :
pivotClose > pivotOpen ? 2*pivotHigh + pivotLow + pivotClose :
pivotHigh + pivotLow + 2*pivotClose
pp := x / 4
Formula Characteristics
Standard — Classic pivot calculation. Balanced levels, good for swing trading.
Fibonacci — Uses 0.382, 0.618, and 1.0 ratios. Popular with Fibonacci traders.
Camarilla — Tighter levels derived from range. Excellent for intraday mean-reversion.
Woodie — Weights current close more heavily. More responsive to recent price action.
TD — Conditional calculation based on open/close relationship. Adapts to bar type.
Zone System
Each pivot level includes an ATR-based zone that provides a more realistic area for potential price reactions:
// ATR-based zone width calculation
float atr = ta.atr(atrLength)
float zoneHalf = atr * zoneWidth / 2
// Zone boundaries around each level
zoneUpper = level + zoneHalf
zoneLower = level - zoneHalf
This accounts for market noise and helps avoid false breakout signals at exact level prices.
Visual Features
Pivot Lines — Horizontal lines at each calculated level
Zone Fills — Transparent fills between zone boundaries
Level Labels — Labels showing level name and exact price (e.g., "PP 45123.50")
Color Coding :
- Yellow: Pivot Point (PP)
- Red gradient: Resistance levels (R1, R2, R3) - darker = further from PP
- Green gradient: Support levels (S1, S2, S3) - darker = further from PP
Color Scheme
Pivot Color — Default: #FFEB3B (yellow) — Central pivot point
Resistance Color — Default: #FF5252 (red) — R1, R2, R3 levels
Support Color — Default: #4CAF50 (green) — S1, S2, S3 levels
Zone Transparency — 85-90% transparent fills around levels
Dashboard Information
The on-chart table (bottom-right corner) displays:
Selected pivot type (Standard, Fibonacci, etc.)
R3, R2, R1 resistance levels with exact prices
PP (Pivot Point) highlighted
S1, S2, S3 support levels with exact prices
Inputs Overview
Pivot Settings:
Pivot Type — Formula selection (Standard, Fibonacci, Camarilla, Woodie, TD)
Pivot Timeframe — Higher timeframe for OHLC data (default: D = Daily)
ATR Length — Period for zone width calculation (default: 14)
Zone Width — ATR multiplier for zone size (default: 0.5)
Level Display:
Show Pivot (P) — Toggle central pivot line
Show R1/S1 — Toggle first resistance/support levels
Show R2/S2 — Toggle second resistance/support levels
Show R3/S3 — Toggle third resistance/support levels
Show Zones — Toggle ATR-based zone fills
Show Labels — Toggle price labels at each level
Visual Settings:
Pivot/Resistance/Support Colors — Customizable color scheme
Line Width — Thickness of level lines (default: 2)
Extend Lines Right — Project lines forward on chart
Show Dashboard — Toggle the information table
How to Use It
For Intraday Trading:
Use Daily pivots on intraday charts (15m, 1H)
Pivot point often acts as the day's "fair value" reference
Camarilla levels work well for intraday mean-reversion
R1/S1 are the most commonly tested levels
For Swing Trading:
Use Weekly pivots on daily charts
Standard or Fibonacci formulas work well
R2/S2 and R3/S3 become more relevant
Zone boundaries provide realistic entry/exit areas
For Support/Resistance:
R levels above price act as resistance targets
S levels below price act as support targets
Zone boundaries are more realistic than exact lines
Multiple formula confluence adds significance
Alerts Available
DPZ Cross Above Pivot — Price crosses above central pivot
DPZ Cross Below Pivot — Price crosses below central pivot
DPZ Cross Above R1/R2 — Price breaks resistance levels
DPZ Cross Below S1/S2 — Price breaks support levels
Best Practices
Match pivot timeframe to your trading style (Daily for intraday, Weekly for swing)
Use zones instead of exact levels for more realistic expectations
Camarilla is best for mean-reversion; Standard/Fibonacci for breakouts
Combine with other indicators for confirmation
— Made with passion by officialjackofalltrades
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.
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.
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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.
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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
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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.
────────────────────────────────────────────────────────────
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.
────────────────────────────────────────────────────────────
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.
────────────────────────────────────────────────────────────
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.
────────────────────────────────────────────────────────────
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.
────────────────────────────────────────────────────────────
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.
────────────────────────────────────────────────────────────
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.*
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.
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.
────────────────────────────────────────────────────────────
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.
────────────────────────────────────────────────────────────
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.
