Top-Down Market Bias ChecklistThis script allows users, to select whether a market is Bullish or Bearish on different timeframes. It simplifies the process of opening a textbox every time and writing in the values manually, it also simplifies on having to move the textbox every time when switching timeframes.
There is a Color Customization section at the bottom on the inputs when you open settings, where each user can change his colors depending on their preferences.
Indicadores y estrategias
MTF StochRSI Confluence + Box (1m/3m/9m signals, +1H/3H display)This indicator is a multi-timeframe Stochastic RSI confluence tool designed to help identify high-probability BUY and SELL zones using short-term momentum alignment, while also providing higher-timeframe context at a glance.
Multi-timeframe StochRSI confluence indicator that triggers BUY/SELL signals only when 1m, 3m, and 9m align, with 1H and 3H shown for higher-timeframe context at a glance.
CMO Checklist (MHM)CMO Checklist is a manual trading checklist indicator designed to help traders
confirm market conditions step by step.
This tool is fully manual and does NOT generate signals.
It is intended for discretionary traders who follow structured setups
such as ICT / CMO-style execution models.
Features:
• Clean and compact checklist table
• Manual check / uncheck via inputs
• Fixed position (top-right)
• No repaint
• Pine Script v6 compatible
This indicator does not generate trading signals.
It is a visual checklist only.
• Manual
• Checklist
• No signals
• Educational / Trading tool
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• 1m → Monthly timeframes
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Length Adaptive MA SuperTrendLength Adaptive MA SuperTrend
Length Adaptive MA SuperTrend is a third-generation evolution of the SuperTrend concept, designed to improve signal accuracy while maintaining high responsiveness across different market conditions. The indicator dynamically adjusts its moving-average length to better match current market activity, allowing it to react quickly in fast markets while remaining stable during slower phases.
This adaptive behavior helps traders and investors visualize trend direction more clearly while reducing unnecessary noise, making the tool suitable for both beginners and advanced users seeking a responsive trend overlay.
🔍 How It Works
The indicator uses a moving average as the foundation for a SuperTrend-style structure, but instead of keeping the moving-average length fixed, it continuously adapts to changing market environments.
The script compares average activity levels across three horizons:
• Long-term period
• Medium-term period (half length)
• Short-term period (square-root length)
Activity is measured using one of three selectable drivers:
• ATR (volatility)
• Volume
• Standard deviation
Whichever period shows the strongest average activity becomes the active length used for calculating the moving-average base. This allows the indicator to automatically shift between faster and slower behavior depending on market conditions.
After selecting the active length, the result is slightly smoothed using the chosen moving-average type to produce a cleaner and more stable trend structure.
ATR-based bands are then applied around the adaptive base, and trend direction changes when price crosses these bands.
⚙️ Key Features
• Adaptive moving-average length selection
• Automatic adjustment between short, medium, and long market conditions
• Multiple smoothing types (SMA, EMA, WMA, HMA, VWMA, DEMA, TEMA, EWMA)
• ATR-based SuperTrend structure
• Trend transition markers
• Optional candle coloring based on active trend
🧩 Inputs Overview
• Moving-average smoothing type
• Base length and price source
• ATR length and multiplier
• Adaptive driver selection (ATR, Volume, or Standard Deviation)
📌 Usage Notes
• Helps visualize prevailing market trends across changing environments.
• Automatically adapts speed for trending and consolidating markets.
• Signals may change intrabar on lower timeframes.
• Best used with confirmation tools and proper risk management.
• Intended as an analytical tool, not financial advice.
Volatility Smoothed Moving Average BandVolatility Smoothed Moving Average Bands
The Volatility Smoothed Moving Average Bands are volatility-based bands that combine multiple measurements to provide a robust and accurate view of market trend and direction.
🚀 Benefits
• Reduced noise through multi-source averaging
• Fast response to market changes
• Strong performance on volatile assets, especially altcoins (notably CROUSD)
💡 Core Idea
The goal is to generate accurate and robust signals by averaging multiple components without requiring additional historical data. The method extracts more information from the same data, improving stability and responsiveness simultaneously.
⚙️ How It Works
A fast and a slow moving average are calculated.
Multiple intermediate values are derived and averaged to build a highly stable center line.
Differences between all components are averaged to estimate volatility.
This volatility is added and subtracted from the center line to form dynamic upper and lower bands.
The result is adaptive bands that track market structure with high accuracy and reduced lag.
📌 Usage Notes
• Best suited for trend detection and dynamic support/resistance.
• Bands expanding → volatility increasing.
• Bands contracting → market compression or consolidation.
• Crosses above/below bands often signal strong directional shifts.
Enjoy and trade smart.
Wick Statistics (Intra-Day)Data box that shows smallest, largest, and average wick point size during specified time ranges.
ATR/Structure Trail Stop Loss This indicator is a high-performance trend-following tool designed to help traders stay in winning positions for maximum "R" gains. It solves the common problem of getting stopped out too early by combining Volatility (ATR) with Market Structure (Price Action Swings).
How it Works
The script calculates two different stop-loss levels and automatically chooses the most "conservative" one to protect your capital:
ATR Stop: Measures the current market volatility. If the market gets wild, the stop widens. If the market gets calm, the stop tightens.
Structure Stop: Looks at the lowest lows (for Longs) or highest highs (for Shorts) of the last few candles. This ensures you don't stay in a trade if the actual price trend breaks.
Key Features
Hybrid Logic: The stop strictly follows Closing Prices to prevent "wick-outs" from temporary spikes.
Trend Dashboard: A real-time table tracks ADX (Trend Power).
"RUN IT": High momentum; keep trailing for 12R–30R targets.
"TIGHTEN": Momentum is dying; consider locking in profits.
Visual Diamonds: Uses a Step-Line style with diamonds to show exactly when your stop-loss "locks in" a new level.
How to Use It (Step-by-Step)
Entry: Enter your trade based on your standard breakout strategy.
Initial Risk: Use the Initial Stop (5 points) until the price moves in your favor.
The Trail: Once the trend establishes, follow the Light White Diamonds.
Scaling: Use the ATR Multiplier input to adjust the "breathing room."
Lower Multiplier (e.g., 1.5): Tighter trail, good for scalp targets.
Higher Multiplier (e.g., 2.5+): Wider trail, best for catching 30R monster moves.
Exit: Close the position immediately when a candle closes on the opposite side of the diamonds.
ZERO LEVEL ENTRY BY SIDDAM RAJUOverview The Intraday Low Tracker is a specialized price-action strategy designed to catch potential reversals or pullbacks from new intraday lows. Unlike standard indicators that repaint or give premature signals, this tool uses a strict "Wait & Break" logic. It identifies a new low, waits for a confirmation candle, and only triggers an entry if the market proves strength by breaking above that confirmation level.
How It Works (The Logic)
Identifies the Low: The indicator continuously tracks the market to find the lowest low of the current day.
The "After Candle" Setup: Once a new low is established, the indicator waits for the immediate next candle (the "After Candle") to close.
The Setup Zone:
Green Line (Entry): Drawn at the High of the "After Candle."
Red Line (Stop Loss): Drawn at the Day Low.
The Trigger (Strict Entry):
A signal is NOT counted just because lines are drawn.
The system enters "WAITING FOR BREAKOUT" mode.
An entry is valid ONLY if price actively breaks ABOVE the Green Entry Line.
Trade Management: Once triggered, the trade remains active until it hits the user-defined Target (Blue Line) or the Stop Loss (Red Line).
Key Features
Strict Breakout Logic: Prevents false entries by requiring price to actually move above the setup candle.
Live Dashboard: A clean table on the chart displays:
Status: "Scanning", "Waiting for Breakout", or "Trade Active".
Levels: Exact prices for Entry, Target, and Stop Loss.
Statistics: Tracks "Total Entries", "Targets Hit", and "SL Hit" for the current session.
Visual Clarity:
Green Entry Label: Appears ABOVE the confirmation candle.
Red SL Label: Appears BELOW the confirmation candle.
Dynamic Lines: Lines automatically update or vanish if a setup is invalidated (e.g., if a new lower low is made before entry).
Settings
Target Profit %: Set your desired percentage gain (default is 10%).
Visual Customization: Change line colors, styles, and widths to fit your chart theme.
Table Size: Adjust the dashboard size (Tiny, Small, Normal, Large).
How to Use
Apply the indicator to your intraday timeframe (e.g., 1-minute, 5-minute).
Wait for the Green/Red lines and the "ENTRY" label to appear.
Do not enter immediately. Watch the status table.
Enter the trade only when price crosses the Green Line.
Exit at the Blue Target Line or if price falls back to the Red SL Line.
Disclaimer This tool is for educational and informational purposes only. Past performance does not guarantee future results. Always manage your risk properly.
Amd range by danAmd Range – Multi-Timeframe Volatility Breakout Scanner
Overview
Amd Range automatically detects price compression structures (Inside Bars) and alerts traders in real-time when price breaks out of the established range. The indicator monitors multiple timeframes simultaneously and can track up to 5 symbols from a single chart.
Core Methodology – What This Script Does
This indicator is based on the classic Inside Bar pattern — a volatility contraction setup where a candle's high and low are contained entirely within the previous candle's range.
Detection Logic:
Master Bar Identification: On each bar close, the script checks if the current candle qualifies as an Inside Bar:
Current High < Previous High
Current Low > Previous Low
When this condition is true, the previous candle becomes the "Master Bar", and its high/low levels define the active range.
Real-Time Breakout Detection: Once a range is established, the indicator monitors every tick (not just bar closes) for a breakout:
Bullish Breakout: Current price exceeds the Master Bar High → triggers BUY signal
Bearish Breakout: Current price drops below the Master Bar Low → triggers SELL signal
One-Shot Alert System: Each range produces exactly one alert. Once broken, the range is deactivated and no further alerts fire until a new Inside Bar forms and subsequently breaks.
Multi-Timeframe Scanning
The indicator uses request.security() to scan six higher timeframes simultaneously:
M30, H1, H2, H4, H8, H12
Each timeframe maintains independent state tracking, so a breakout on H4 does not affect H1 detection.
Dashboard Display
The built-in table displays real-time status for each symbol/timeframe combination:
RNG (Gray): Active range – volatility contraction in progress
BUY (Green): Bullish breakout detected
SELL (Red): Bearish breakout detected
- (Dark): No active pattern
How to Use
Add the indicator to any chart
Configure symbols in the "Extra Symbols" input group to monitor additional assets
Enable/disable timeframes in the "Timeframe Alerts" input group
Create a TradingView alert with the condition "Any alert() function call"
Trade the breakout — BUY signals indicate price has cleared resistance; SELL signals indicate price has broken support
Inputs
Show Range Lines: Toggle horizontal lines marking Master Bar high/low
Show BUY/SELL Labels: Toggle visual labels at breakout points
Show Dashboard Table: Toggle the multi-symbol status table
Range Line Color: Customize line color
Timeframe Toggles (M30–H12): Enable/disable alerts per timeframe
Symbol 1–4: Additional symbols to monitor
Important Notes
Alerts fire immediately on breakout (no waiting for candle close)
Only one alert per range – no repeat signals
Designed for forex, crypto, and futures markets
Works on all standard chart types
M5 EMA Pullback Scalper (Anti-Chop + Dynamic Boxes)M5 EMA Pullback Scalper (Anti-Chop + Dynamic Boxes)
Volume Profile with HVN / LVN Detection (Low-TF Safe)Session-based volume profile with VPOC, HVN, and LVN detection, optimized for fast charts and runtime-safe lower-timeframe execution.
Volume Profile with HVN / LVN Detection (Low-TF Safe)
This indicator plots a session-based Volume Profile , highlights the Volume Point of Control (VPOC) , and automatically detects High Volume Nodes (HVNs) and Low Volume Nodes (LVNs) from the completed profile.
It is a performance-focused refactor of the original Volume Profile With HVN/LVN Detector , redesigned to work reliably on fast timeframes (including 5-second charts) without runtime errors.
Features
Session-based volume profile with adjustable row resolution
VPOC with optional extension and date labeling
Automatic HVN and LVN detection from the prior session
HVNs and LVNs displayed as levels or areas
Configurable strength, colors, and line/area styles
Runtime-safe lower-timeframe handling using request.security_lower_tf
Optimized to reduce execution overhead on high-frequency charts
Designed for traders who use volume structure to identify acceptance, rejection, and potential support/resistance zones across all chart timeframes.
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What’s new in this version
Refactored lower-timeframe logic to prevent runtime errors on fast charts
Automatic, runtime-safe fallback when selected lower TF exceeds chart TF
Stable execution on very low timeframes (e.g. 5s, 10s)
Preserved original profile, VPOC, HVN, and LVN behavior
No repainting of completed session profiles
This update prioritizes stability, correctness, and cross-timeframe compatibility .
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Credits & Attribution
This script is based on the original
“Volume Profile With HVN/LVN Detector”
by tradeforopp (revised by Madpuppy88 ).
The current version refactors the original implementation to improve:
Runtime safety on low timeframes
Performance on high-frequency charts
Robust multi-timeframe handling
Original concept and core logic credit remain with the original authors.
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How to Use
VPOC highlights the price level of highest traded volume for the session and often acts as a magnet or balance point.
HVNs represent areas of acceptance where price previously traded heavily and may act as support/resistance or consolidation zones.
LVNs mark areas of rejection where price moved quickly and may act as inflection or breakout levels.
Use HVNs and LVNs from the prior session to frame intraday bias, targets, and risk zones.
On very fast charts, the script automatically falls back to chart-timeframe data to maintain stability.
Wick Ranges (GG)Simple data box that tracks candle wick largest, smallest, and average sizes by price within specified time ranges. Displays labels for upper and lower wicks of current candle.
Helpful if your entry model is entering on the close/open of momentum candles.
-GG
STRAT PANEL HTF (D/W/M/Q/Y) and ATRUse on Daily / Weekly / Monthly charts.
Higher-timeframe STRAT continuity for: D / W / M / Q / Y (Extended session toggle in settings).
Columns: STRAT (last 3 closed), LAST (last closed type), CUR (current type: Live/Stable), DIR, REV.
Includes ATR context: D / W / M / 12M + optional ATR-based estimated moves.
The Big Sandal Candle ATR Volatility (Bull & Bear)This Indicator Highlights Unusual ATR Volatility Inside the Candle. Use these highlighted candles to get into strong directional trends.
IAN'S SMTHow to fix it (pick ONE)
✅ Option A — Treat MNQ as NQ (recommended)
If MNQ should behave identically to NQ:
isNQ = chartNorm == symA_norm or chartNorm == "MNQ1"
or more robust:
isNQ = str.contains(chartNorm, "NQ")
That makes:
NQ1!
MNQ1!
NQH2026
all map to index 0
✅ Option B — Add MNQ as its own symbol (clean but heavier)
Add a 4th symbol slot:
symD = input.symbol("MNQ1!", "Symbol D")
Then:
Update N_SYMS
Add high_i(3), low_i(3)
Expand every SMT array
This works but is a lot of refactoring
Commodity Channel Index - CCIOverview
This enhanced Commodity Channel Index (CCI) indicator provides traders with a sophisticated visualization of market momentum and trend direction. By combining the classic CCI oscillator with customizable moving averages and advanced visual features, it offers clear signals for identifying bullish and bearish market conditions.
Core Functionality
Indicator Components
CCI Oscillator - Measures how far current price deviates from its statistical average
Moving Average Filter - Smooths CCI values using your choice of 7 MA types
Visual Zones - Color-coded overbought/oversold areas with gradient fills
Market Bias Display - Prominent bullish/bearish label for quick interpretation
Key Features
📊 Customizable Calculations
Adjust CCI period (default: 55) for sensitivity tuning
Select MA type (EMA, SMA, WMA, HMA, etc.) and period (default: 30) for smoothing
Flexible moving average system supporting multiple calculation methods
🎨 Advanced Visualization
Dynamic Color Coding: CCI line turns green when bullish (>50), red when bearish (≤50)
Gradient Fill Zones:
Green gradient between CCI and midline for overbought region (200 to 0)
Red gradient between CCI and midline for oversold region (0 to -100)
Multiple Plot Layers: CCI line, MA line, midline, and fill areas for comprehensive view
🔍 Clear Signal Interpretation
Bullish Condition: CCI > 50 (green zone)
Bearish Condition: CCI ≤ 50 (red zone)
Overbought Warning: CCI in upper gradient zone
Oversold Opportunity: CCI in lower gradient zone
📱 User-Friendly Display
Large "⬆️ Bullish" or "⬇️ Bearish" label in corner for immediate bias assessment
Thick CCI line (width 3) for easy visibility
Yellow MA line for trend direction confirmation
Trading Applications
Trend Identification
Use CCI position relative to 50 midline for trend bias
MA line confirms trend strength and direction
Long periods (110/30) optimized for capturing sustained trends
Potential Reversal Zones
Gradient fills highlight overbought/oversold extremes
Watch for CCI crossing the 50 level for trend change signals
Combine with MA line crosses for confirmation
Market Sentiment Assessment
Quick visual scan of color reveals current market bias
Label provides unambiguous bullish/bearish classification
Multiple timeframes supported through adjustable periods
Usage Recommendations
📈 For Trend Following:
Trade in direction indicated by CCI > 50 (bullish) or ≤ 50 (bearish)
Use MA line as dynamic support/resistance for CCI
Consider entries when CCI pulls back toward 50 in trend direction
🔄 For Mean Reversion:
Watch for extremes in gradient zones for potential reversals
Monitor for CCI crossing back through 50 after reaching extremes
Use MA line as confirmation for reversal validity
⚖️ For Confirmation:
Pair with other indicators for signal confirmation
Use as secondary tool to validate primary trading system signals
Adjust periods to match your trading timeframe
Customization Options
CCI Length: Adjust sensitivity (higher = smoother, lower = more responsive)
MA Type & Length: Choose smoothing method and period
Visual Elements: All colors and fills are built-in but based on logic conditions
Unique Advantages
Immediate Clarity: Color-coding and label remove interpretation ambiguity
Enhanced Visualization: Gradient fills provide intuitive overbought/oversold zones
Dual Analysis: Combines oscillator (CCI) with trend tool (MA) in one view
Flexible Configuration: Multiple MA types accommodate different trading styles
This indicator transforms the traditional CCI into a comprehensive trading tool that provides clear visual cues for market direction, momentum extremes, and trend confirmation—all in a single, customizable package.
Fiery River V 1.0 Description of the "Fiery River" (FR) Indicator
**Overview of the Indicator**
"Fiery River" (abbreviated as FR) is a technical indicator for TradingView, written in Pine Script version 6. It's designed for traders who incorporate Fibonacci levels with moving averages to analyze support and resistance zones. The indicator dynamically plots levels based on a selected moving average (MA) and Fibonacci multipliers, displaying them on the current timeframe and an additional secondary timeframe. This helps visualize potential reversal or continuation points, making analysis more comprehensive. The name "Fiery River" evokes a "fiery" flow of levels that "stream" across the chart, adapting to price movements. ?
**Key Features**
- **Level Construction**: The indicator calculates a moving average (EMA, SMA, WMA, RMA, or HMA) from the closing price and multiplies it by specified Fibonacci coefficients (0.618, 0.5, 0.382, 0.27, 0.18 for "long" levels and 1.618, 1.5, 1.382 for "short" levels). This creates 10 lines: 5 for the current timeframe (fully visible) and 5 for the secondary timeframe (with semi-transparency for distinction).
- **Color Scheme**: Levels are colored in gray, red, orange, and green, with additional "short" variants for extensions.
- **Fills**: Green fills are added between level pairs to highlight areas of interest, making the chart more visually intuitive.
- **Alerts**: Automatic notifications when the price touches levels (e.g., "Price touches Red line"), helping you stay on top of key moments.
- **Multi-Timeframe Support**: Incorporates a secondary timeframe (e.g., daily if the main is hourly) for comparing levels across different scales.
**How to Use**
1. Add the indicator to your chart in TradingView.
2. Customize settings in the panel: Select MA type, period (default 89), secondary timeframe, and Fibonacci coefficients.
3. Analyze levels as potential entry/exit points: Gray and red for stronger zones, green for weaker ones. Use fills to identify ranges.
4. Enable alerts for real-time signals.
It's ideal for strategies based on Fibonacci and trends, but always combine with other tools for confirmation. ?
**Advantages and Limitations**
- **Pros**: Highly customizable, visually clear, supports multiple MA types and timeframes. Great for scalping and swing trading.
- **Cons**: Can create a lot of lines on the chart, potentially overwhelming if not managed. May require testing for optimal settings on volatile assets.
If you need any adjustments, more details, or help with the code, just let me know! ?
DXY vs Small-Cap Divergence [v6]It creates a dedicated panel to monitor the "tug-of-war" between the US Dollar (DXY) and the Russell 2000 (IWM).
As a swing trader, you are looking for Negative Correlation—specifically, the moment the DXY starts to fall while Small Caps maintain their strength.
How to Interpret This on Your Desktop:
Green Background: This highlights the exact bars where the DXY is dropping while the Russell 2000 is gaining ground. This can be your "Go" signal for the small caps that you are monitoring near pivots, prior levels, POC's, or value area highs or lows.
The Green Line (Bottom of the oscillator): When the line hits -0.8, it means the two assets are moving in nearly perfect opposite directions. For a gold bounce and small-cap rally, you want to see this line deep in the green.
The Red Line (Top of the oscillator): If this line stays near +0.8, it means the Dollar and Stocks are moving together. This usually indicates a "Liquidity Flush" where everything is being sold—stay cautious during these periods.
MACD RSI EMA AGGRESSIVE + ATR SLTPThis indicator is designed for aggressive scalping and intraday trading, especially on crypto futures.
It combines:
- MACD crossover for momentum direction
- RSI filter to avoid weak signals
- EMA trend filter to follow market bias
- Volume confirmation to reduce false signals
- ATR-based SL/TP visualization for risk management
The script provides clear BUY and SELL alerts that can be used across multiple symbols and timeframes.
Best used on lower timeframes (1m–5m) with proper risk management.
Cross-Market Regime Scanner [BOSWaves]Cross-Market Regime Scanner - Multi-Asset ADX Positioning with Correlation Network Visualization
Overview
Cross-Market Regime Scanner is a multi-asset regime monitoring system that maps directional strength and trend intensity across correlated instruments through ADX-based coordinate positioning, where asset locations dynamically reflect their current trending versus ranging state and bullish versus bearish bias.
Instead of relying on isolated single-asset trend analysis or static correlation matrices, regime classification, spatial positioning, and intermarket relationship strength are determined through ADX directional movement calculation, percentile-normalized coordinate mapping, and rolling correlation network construction.
This creates dynamic regime boundaries that reflect actual cross-market momentum patterns rather than arbitrary single-instrument levels - visualizing trending assets in right quadrants when ADX strength exceeds thresholds, positioning ranging assets in left quadrants during consolidation, and incorporating correlation web topology to reveal which instruments move together or diverge during regime transitions.
Assets are therefore evaluated relative to ADX-derived regime coordinates and correlation network position rather than conventional isolated technical indicators.
Conceptual Framework
Cross-Market Regime Scanner is founded on the principle that meaningful market insights emerge from simultaneous multi-asset regime awareness rather than sequential single-instrument analysis.
Traditional trend analysis examines assets individually using separate chart windows, which often obscures the broader cross-market regime structure and correlation patterns that drive coordinated moves. This framework replaces isolated-instrument logic with unified spatial positioning informed by actual ADX directional measurements and correlation relationships.
Three core principles guide the design:
Asset positioning should be determined by ADX-based regime coordinates that reflect trending versus ranging state and directional bias simultaneously.
Spatial mapping must normalize ADX values to place assets within consistent quadrant boundaries regardless of instrument volatility characteristics.
Correlation network visualization reveals which assets exhibit coordinated behavior versus divergent regime patterns during market transitions.
This shifts regime analysis from isolated single-chart monitoring into unified multi-asset spatial awareness with correlation context.
Theoretical Foundation
The indicator combines ADX directional movement calculation, coordinate normalization methodology, quadrant-based regime classification, and rolling correlation network construction.
A Wilder's smoothing implementation calculates ADX, +DI, and -DI for each monitored asset using True Range and directional movement components. The ADX value relative to a configurable threshold determines X-axis positioning (ranging versus trending), while the difference between +DI and -DI determines Y-axis positioning (bearish versus bullish). Coordinate normalization caps values within fixed boundaries for consistent quadrant placement. Pairwise correlation calculations over rolling windows populate a network graph where line thickness and opacity reflect correlation strength.
Five internal systems operate in tandem:
Multi-Asset ADX Engine : Computes smoothed ADX, +DI, and -DI values for up to 8 configurable instruments using Wilder's directional movement methodology.
Coordinate Transformation System : Converts ADX strength and directional movement into normalized X/Y coordinates with threshold-relative scaling and boundary capping.
Quadrant Classification Logic : Maps coordinate positions to four distinct regime states—Trending Bullish, Trending Bearish, Ranging Bullish, Ranging Bearish—with color-coded zones.
Historical Trail Rendering : Maintains rolling position history for each asset, drawing gradient-faded trails that visualize recent regime trajectory and velocity.
Correlation Network Calculator : Computes pairwise return correlations across all enabled assets, rendering weighted connection lines in circular web topology with strength-based styling.
This design allows simultaneous cross-market regime awareness rather than reacting sequentially to individual instrument signals.
How It Works
Cross-Market Regime Scanner evaluates markets through a sequence of multi-asset spatial processes:
Data Request Processing : Security function retrieves high, low, and close values for up to 8 configurable symbols with lookahead offset to ensure confirmed bar data.
ADX Calculation Per Asset : True Range computed from high-low-close relationships, directional movement derived from up-moves versus down-moves, smoothed via Wilder's method over configurable period.
Directional Index Derivation : +DI and -DI calculated as smoothed directional movement divided by smoothed True Range, scaled to percentage values.
Coordinate Transformation : X-axis position equals (ADX - threshold) * 2, capped between -50 and +50; Y-axis position equals (+DI - -DI), capped between -50 and +50.
Quadrant Assignment : Positive X indicates trending (ADX > threshold), negative X indicates ranging; positive Y indicates bullish (+DI > -DI), negative Y indicates bearish.
Trail History Management : Configurable-length position history maintains recent coordinates for each asset, rendering gradient-faded lines connecting sequential positions.
Velocity Vector Calculation : 7-bar coordinate change converted to directional arrow overlays showing regime momentum and trajectory.
Return Correlation Processing : Bar-over-bar returns calculated for each asset, pairwise correlations computed over rolling window.
Network Graph Construction : Assets positioned in circular topology, correlation lines drawn between pairs exceeding threshold with thickness/opacity scaled by correlation strength, positive correlations solid green, negative correlations dashed red.
Risk Regime Scoring : Composite score aggregates bullish risk-on assets (equities, crypto, commodities) minus bullish risk-off assets (gold, dollar, VIX), generating overall market risk sentiment with colored candle overlay.
Together, these elements form a continuously updating spatial regime framework anchored in multi-asset momentum reality and correlation structure.
Interpretation
Cross-Market Regime Scanner should be interpreted as unified spatial regime boundaries with correlation context:
Top-Right Quadrant (TREND ▲) : Assets positioned here exhibit ADX above threshold with +DI exceeding -DI - confirmed bullish trending conditions with directional conviction.
Bottom-Right Quadrant (TREND ▼) : Assets positioned here exhibit ADX above threshold with -DI exceeding +DI - confirmed bearish trending conditions with directional conviction.
Top-Left Quadrant (RANGE ▲) : Assets positioned here exhibit ADX below threshold with +DI exceeding -DI - ranging consolidation with bullish bias but insufficient trend strength.
Bottom-Left Quadrant (RANGE ▼) : Assets positioned here exhibit ADX below threshold with -DI exceeding +DI - ranging consolidation with bearish bias but insufficient trend strength.
Position Trails : Gradient-faded lines connecting recent coordinate history reveal regime trajectory - curved paths indicate regime rotation, straight paths indicate sustained directional conviction.
Velocity Arrows : Directional vectors overlaid on current positions show 7-bar regime momentum - arrow length indicates speed of regime change, angle indicates trajectory direction.
Correlation Web : Circular network graph positioned left of main quadrant map displays pairwise asset relationships - solid green lines indicate positive correlation (moving together), dashed red lines indicate negative correlation (diverging moves), line thickness reflects correlation strength magnitude.
Asset Dots : Multi-layer glow effects with color-coded markers identify each asset on both quadrant map and correlation web-symbol labels positioned adjacent to current location.
Regime Summary Bar : Vertical boxes on right edge display condensed regime state for each enabled asset - box background color reflects quadrant classification, border color matches asset identifier.
Risk Regime Candles : Overlay candles on price chart colored by composite risk score - green indicates risk-on dominance (bullish equities/crypto exceeding bullish safe-havens), red indicates risk-off dominance (bullish gold/dollar/VIX exceeding bullish risk assets), gray indicates neutral balance.
Quadrant positioning, trail trajectory, correlation network topology, and velocity vectors outweigh isolated single-asset readings.
Signal Logic & Visual Cues
Cross-Market Regime Scanner presents spatial positioning insights rather than discrete entry signals:
Regime Clustering : Multiple assets congregating in same quadrant suggests broad market regime consensus - all assets in TREND ▲ indicates coordinated bullish momentum across instruments.
Regime Divergence : Assets splitting across opposing quadrants reveals intermarket disagreement - equities in TREND ▲ while safe-havens in TREND ▼ suggests healthy risk-on environment.
Quadrant Transitions : Assets crossing quadrant boundaries mark regime shifts - movement from left (ranging) to right (trending) indicates breakout from consolidation into directional phase.
Trail Curvature Patterns : Sharp curves in position trails signal rapid regime rotation, straight trails indicate sustained directional conviction, loops indicate regime uncertainty with back-and-forth oscillation.
Velocity Acceleration : Long arrows indicate rapid regime change momentum, short arrows indicate stable regime persistence, arrow direction reveals whether asset moving toward trending or ranging state.
Correlation Breakdown Events : Previously strong correlation lines (thick, opaque) suddenly thinning or disappearing indicates relationship decoupling - often precedes major regime transitions.
Correlation Inversion Signals : Assets shifting from positive correlation (solid green) to negative correlation (dashed red) marks structural market regime change - historically correlated assets beginning to diverge.
Risk Score Extremes : Composite score reaching maximum positive (all risk-on bullish, all risk-off bearish) or maximum negative (all risk-on bearish, all risk-off bullish) marks regime conviction extremes.
The primary value lies in simultaneous multi-asset regime awareness and correlation pattern recognition rather than isolated timing signals.
Strategy Integration
Cross-Market Regime Scanner fits within macro-aware and intermarket analysis approaches:
Regime-Filtered Entries : Use quadrant positioning as directional filter for primary trading instrument - favor long setups when asset in TREND ▲ quadrant, short setups in TREND ▼ quadrant.
Correlation Confluence Trading : Enter positions when target asset and correlated instruments occupy same quadrant - multiple assets in TREND ▲ provides conviction for long exposure.
Divergence-Based Reversal Anticipation : Monitor for regime divergence between correlated assets - if historically aligned instruments split to opposite quadrants, anticipate mean-reversion or regime rotation.
Breakout Confirmation via Cross-Asset Validation : Confirm primary instrument breakouts by verifying correlated assets simultaneously transitioning from ranging to trending quadrants.
Risk-On/Risk-Off Positioning : Use composite risk score and safe-haven positioning to determine overall market environment - scale risk exposure based on risk regime dominance.
Velocity-Based Timing : Enter during periods of high regime velocity (long arrows) when momentum carries assets decisively into new quadrants, avoid entries during low velocity regime uncertainty.
Multi-Timeframe Regime Alignment : Apply higher-timeframe regime scanner to establish macro context, use lower-timeframe price action for entry timing within aligned regime structure.
Correlation Web Pattern Recognition : Identify regime transitions early by monitoring correlation network topology changes - previously disconnected assets forming strong correlations suggests regime coalescence.
Technical Implementation Details
Core Engine : Wilder's smoothing-based ADX calculation with separate True Range and directional movement tracking per asset
Coordinate Model : Threshold-relative X-axis scaling (trending versus ranging) with directional movement differential Y-axis (bullish versus bearish)
Normalization System : Boundary capping at ±50 for consistent spatial positioning regardless of instrument volatility
Trail Rendering : Rolling array-based position history with gradient alpha decay and width tapering
Correlation Engine : Return-based pairwise correlation calculation over rolling window with configurable lookback
Network Visualization : Circular topology with trigonometric positioning, weighted line rendering based on correlation magnitude
Risk Scoring : Composite calculation aggregating directional states across classified risk-on and risk-off asset categories
Performance Profile : Optimized for 8 simultaneous security requests with efficient array management and conditional rendering
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Micro-regime monitoring for intraday correlation shifts and short-term regime rotations
15 - 60 min : Intraday regime structure with meaningful ADX development and correlation stability
4H - Daily : Swing and position-level macro regime identification with sustained trend classification
Weekly - Monthly : Long-term regime cycle tracking with structural correlation pattern evolution
Suggested Baseline Configuration:
ADX Period : 14
ADX Smoothing : 14
Trend Threshold : 25.0
Trail Length : 15
Correlation Period : 50
Min |Correlation| to Show Line : 0.3
Web Radius : 30
Show Quadrant Colors : Enabled
Show Regime Summary Bar : Enabled
Show Velocity Arrows : Enabled
Show Correlation Web : Enabled
These suggested parameters should be used as a baseline; their effectiveness depends on the selected assets' volatility profiles, correlation characteristics, and preferred spatial sensitivity, so fine-tuning is expected for optimal performance.
Parameter Calibration Notes
Use the following adjustments to refine behavior without altering the core logic:
Assets clustering too tightly : Decrease Trend Threshold (e.g., 20) to spread ranging/trending separation, or increase ADX Period for smoother ADX calculation reducing noise.
Assets spreading too widely : Increase Trend Threshold (e.g., 30-35) to demand stronger ADX confirmation before classifying as trending, tightening quadrant boundaries.
Trail too short to show trajectory : Increase Trail Length (20-25) to visualize longer regime history, revealing sustained directional patterns.
Trail too cluttered : Decrease Trail Length (8-12) for cleaner visualization focusing on recent regime state, reducing visual complexity.
Unstable ADX readings : Increase ADX Period and ADX Smoothing (18-21) for heavier smoothing reducing bar-to-bar regime oscillation.
Sluggish regime detection : Decrease ADX Period (10-12) for faster response to directional changes, accepting increased sensitivity to noise.
Too many correlation lines : Increase Min |Correlation| threshold (0.4-0.6) to display only strongest relationships, decluttering network visualization.
Missing significant correlations : Decrease Min |Correlation| threshold (0.2-0.25) to reveal weaker but potentially meaningful relationships.
Correlation too volatile : Increase Correlation Period (75-100) for more stable correlation measurements, reducing network line flickering.
Correlation too stale : Decrease Correlation Period (30-40) to emphasize recent correlation patterns, capturing regime-dependent relationship changes.
Velocity arrows too sensitive : Modify 7-bar lookback in code to longer period (10-14) for smoother velocity representation, or increase magnitude threshold for arrow display.
Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions.
Performance Characteristics
High Effectiveness:
Macro-aware trading approaches requiring cross-market regime context for directional bias
Intermarket analysis strategies monitoring correlation breakdowns and regime divergences
Portfolio construction decisions requiring simultaneous multi-asset regime classification
Risk management frameworks using safe-haven positioning and risk-on/risk-off scoring
Trend-following systems benefiting from cross-asset regime confirmation before entry
Mean-reversion strategies identifying regime extremes via clustering patterns and correlation stress
Reduced Effectiveness:
Single-asset focused strategies not incorporating cross-market context in decision logic
High-frequency trading approaches where multi-security request latency impacts execution
Markets with consistently weak correlations where network topology provides limited insight
Extremely low volatility environments where ADX remains persistently below threshold for all assets
Instruments with erratic or unreliable ADX characteristics producing unstable coordinate positioning
Integration Guidelines
Confluence : Combine with BOSWaves structure, volume analysis, or primary instrument technical indicators for entry timing within aligned regime
Quadrant Respect : Trust signals occurring when primary trading asset occupies appropriate quadrant for intended trade direction
Correlation Context : Prioritize setups where target asset exhibits strong correlation with instruments in same regime quadrant
Divergence Awareness : Monitor for safe-haven assets moving opposite to risk assets - regime divergence validates directional conviction
Velocity Confirmation : Favor entries during periods of strong regime velocity indicating decisive momentum rather than regime oscillation
Risk Score Alignment : Scale position sizing and exposure based on composite risk score - larger positions during clear risk-on/risk-off environments
Trail Pattern Recognition : Use trail curvature to identify regime stability (straight) versus rotation (curved) versus uncertainty (looped)
Multi-Timeframe Structure : Apply higher-timeframe regime scanner for macro filter, lower-timeframe for tactical positioning within established regime
Disclaimer
Cross-Market Regime Scanner is a professional-grade multi-asset regime visualization and correlation analysis tool. It uses ADX-based coordinate positioning and rolling correlation calculation but does not predict future regime transitions or guarantee relationship persistence. Results depend on selected assets' characteristics, parameter configuration, correlation stability, and disciplined interpretation. Security request timing may introduce minor latency in real-time data retrieval. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, volume context, fundamental macro awareness, and comprehensive risk management.
Mein Skript//@version=5
indicator("FU Only", overlay=true)
bullishFU = low < low and close > high
bearishFU = high > high and close < low
plotshape(bullishFU, style=shape.labelup, location=location.belowbar, text="FU", textcolor=color.white, color=color.new(color.black, 0), size=size.tiny)
plotshape(bearishFU, style=shape.labeldown, location=location.abovebar, text="FU", textcolor=color.white, color=color.new(color.black, 0), size=size.tiny)
RSI 40-60 with Candle Colouring gran longer time frames commodities , mag 7 stocks , US500 , BTC
Main things it does:Shows a standard RSI (default 14-period) in a separate panel below the chart The RSI line is colored light cyan/blue
Draws horizontal lines at these key levels:70 (overbought – red dashed)
60 (upper boundary – bright red solid)
50 (middle/neutral – gray dotted)
40 (lower boundary – green solid)
30 (oversold – lime dashed)
→ It puts extra visual emphasis on the 40–60 zone.
Colors the price candles on the main chart (even though the indicator itself is not overlaid):Green/teal when RSI is above 50
Red when RSI is 50 or below
What traders usually use it for:Quick visual trend/momentum filter
Green candles = bullish bias (RSI > 50)
Red candles = bearish bias (RSI ≤ 50)
The area between 40–60 is often seen as neutral / no strong direction
Very simple, clean momentum-based candle coloring tool focused around the 50 level with extra attention to the 40–60 range.
