Multiple SMA (Configurable + Labels)This script allow display up to 4 SMA lines. Users can configure the input values for each SMA line.
Индикаторы и стратегии
EMA + RSI + MACD DashboardEasy Box for group_ema = "EMA Settings"
group_rsi = "RSI Settings"
group_macd = "MACD Settings"
group_display = "Display Settings"
Xetra Auctions Breakout [Box Strategy]This indicator implements the institutional Xetra Opening & Intraday Auction strategy, widely used by professional traders on the DAX (GER40) and European equities. It automatically identifies the High/Low ranges of the critical auction periods on the Frankfurt Stock Exchange and extends these levels throughout the day to serve as key support/resistance zones.
Strategy Concept: How it Works
The German Xetra exchange has two critical liquidity events each day where institutional volume is highest:
Opening Auction (08:50 – 09:00 CET): This pre-market period sets the tone for the day. The range formed here often acts as a definitive barrier. A breakout above this box suggests bullish institutional flow, while a break below suggests bearish sentiment.
Intraday Auction (13:00 – 13:02 CET): A mid-day liquidity injection that often triggers volatility before the US market open.
This indicator visualizes these ranges as boxes. The logic is simple: Institutions leave their footprints during auctions. We trade the reaction to these footprints.
How to Trade (Best Practices)
1. The Breakout Setup (Trend Following)
Long Entry: Wait for a 5-minute or 15-minute candle to close above the Blue Box (Opening Auction).
Short Entry: Wait for a candle close below the Blue Box.
Stop Loss: Place your stop at the opposite side of the box or at the Mid-Line (50% of the box) for tighter risk management.
2. The Reversal Setup (Range Bound)
If the price approaches the Orange Box (Intraday Auction) extended lines and shows rejection (wicks), it often acts as strong support/resistance for a reversal trade back toward the daily average.
3. "Ghost" Levels (Previous Day)
The indicator displays yesterday's auction levels as semi-transparent "ghost" boxes.
Use Case: Yesterday’s auction High is often today’s key Support. Watch for price reactions at these historical levels.
Disclaimer
This tool is for educational purposes. Trading indices involves risk. Always backtest strategies before using real capital.
ZigZag with Day Count + AveragesThis indicator plots a ZigZag structure and measures how long each completed trend leg lasts in calendar days. Each confirmed leg is labelled with its duration, positioned away from price using an ATR-based offset so labels remain readable and unobstructed by candles.
Uptrend and downtrend legs are automatically colour-coded, and the indicator tracks rolling averages of trend duration to provide context on how long trends typically persist.
Key features:
ZigZag trend legs based on configurable deviation and depth
Day-count label for every completed leg
Clear, high-contrast labels offset from price
Automatic colouring for up and down trends
Rolling average duration of the last N uptrends and downtrends (default: 20)
Optional extension of the current, in-progress leg
How to use:
Identify potential trend exhaustion by comparing the current leg length to historical averages
Gauge whether a trend is statistically extended or still within normal duration
Combine with price action, support/resistance, or momentum indicators for confirmation
Works on all timeframes. On daily charts, day counts align closely with bars; on intraday charts, durations are calculated using calendar time.
Mean Reversion OpportunityIdentifies when price is trading within an established range. Values between +200 and -200 signal mean reversion opportunities. Breaks beyond these levels suggest ranging behavior has ended.
Candle Type Analyzerthis indicator identifies the different types of candle which are divided into 4 four types
1.marubozu candle
2.normal candle
3.pinbar/doji candle
4.special marubozu candle
1.maru candle - having body >70% of total length
2.normal candle - having body >=30% and <=70% of total length
3.pinbar/doji candle - having body <30% of total length
4.special marubozu candle - a.green candle - closing within top 10% of total length
b.red candle - closing within bottom 10% of total length
total length of a candle = measured from high to low of the candle
you can give labels for each candle type on top of the candle
1.marubozu candle - M
2.normal candle - N
3.pinbar/doji candle - P
4.special marubozu candle - S
try making the colour of labels with one colour only for better and faster coordination with the mind
CRT + Turtle Soup IndicatorEste proyecto combina dos poderosas metodologías de trading basadas en conceptos de ICT (Inner Circle Trader):
Candle Range Theory (CRT) se fundamenta en la identificación de rangos de velas en timeframes superiores y la detección de raids de liquidez. La teoría sostiene que cuando el precio captura la liquidez de un lado del rango (high o low), tiende a moverse hacia el lado opuesto. Este comportamiento se basa en el principio de que el mercado se mueve principalmente por dos razones: balancear desequilibrios (imbalances) y cazar liquidez.
Turtle Soup es una estrategia que capitaliza los false breakouts (rupturas falsas) de niveles clave de soporte y resistencia. El nombre proviene de una referencia humorística al sistema "Turtle Trading" de los años 80, que operaba breakouts reales. Turtle Soup hace exactamente lo contrario: identifica cuando el precio rompe un nivel clave temporalmente para cazar stops, y luego revierte rápidamente en la dirección opuesta.
La combinación de ambas estrategias proporciona un marco robusto para identificar puntos de reversión de alta probabilidad, especialmente cuando se confirman con cambios en la estructura de mercado (Market Structure Shift).
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This project combines two powerful trading methodologies based on Inner Circle Trader (ICT) concepts:
Candle Range Theory (CRT) is based on identifying candlestick ranges on higher timeframes and detecting liquidity raids. The theory states that when the price captures liquidity on one side of a range (high or low), it tends to move to the opposite side. This behavior is based on the principle that the market moves primarily for two reasons: to balance imbalances and to hunt for liquidity.
Turtle Soup is a strategy that capitalizes on false breakouts of key support and resistance levels. The name comes from a humorous reference to the "Turtle Trading" system from the 1980s, which traded real breakouts. Turtle Soup does the exact opposite: it identifies when the price temporarily breaks a key level to trigger stop-loss orders, and then quickly reverses in the opposite direction.
The combination of both strategies provides a robust framework for identifying high-probability reversal points, especially when confirmed by market structure shifts.
ICT KillZones + ICT NY Midnight Open "YECHALALE"This powerful indicator combines:
- Asia, London, NY AM, and NY PM sessions with configurable colors and kill zones.
- Automatic alerts when price touches session kill zone highs or lows.
- NY Midnight Open line, drawn both vertically and horizontally, DST-adjusted to always align with 00:00 New York time.
- Ideal for traders following ICT/Smart Money Concepts, spotting liquidity sweeps, session overlaps, and potential reversal zones.
- Fully customizable to match your trading style.
Weighted Volume ROC OscillatorWeighted Volume ROC Oscillator (WVRO | MisinkoMaster)
The Weighted Volume ROC Oscillator is a sophisticated trend-following tool that leverages a volume-weighted Rate of Change (ROC) calculation on a double-smoothed source. Designed to capture both trend direction and strength with minimal noise, this oscillator also highlights potential reversal points, making it an effective tool for fast-moving markets like ETHUSD.
By combining volume weighting with advanced smoothing techniques, the WVRO provides a responsive yet stable indicator to help traders make more informed decisions during trending conditions.
🔍 Concept & Idea
The core idea behind the WVRO is to develop a high-speed oscillator capable of smoothly following trends while remaining sensitive to rapid changes. The ROC is a natural choice for momentum measurement, but raw ROC alone can be noisy.
To improve stability and responsiveness:
The input source is smoothed twice using Weighted Moving Averages (WMA) with a length proportional to the square root of the user-defined length, reducing noise while preserving fast reactions.
The ROC is then weighted by volume to emphasize price movements during high-volume periods, increasing the significance of meaningful trades.
Finally, a volume-weighted average of the ROC is calculated to normalize the signal.
This combination balances smoothness and speed, improving signal clarity in trending markets.
⚙️ How It Works
Double WMA Smoothing of Source:
First, apply a WMA with length √len to the selected source to filter noise but retain responsiveness.
Apply a second WMA with the same length to the first smoothed series for additional smoothing.
Volume-Weighted ROC Calculation:
Calculate ROC on the double-smoothed source over one bar.
Multiply the ROC by the current volume, weighting price changes by trading activity.
Normalization and Oscillator Computation:
Calculate an Exponential Moving Average (EMA) of the volume-weighted ROC over the full length.
Divide by the sum of volume over the same length to normalize, then scale to a range centered near zero.
Trend Logic:
Positive WVRO values indicate bullish momentum (trend up).
Negative values indicate bearish momentum (trend down).
Momentum Divergence:
The difference between the current WVRO and its prior value is smoothed with EMA and plotted as a histogram to help identify potential momentum shifts and reversals.
🧩 Inputs Overview
Oscillator Length – Controls the main smoothing and lookback length of the oscillator (default 17).
Source – The price source used for calculation, defaulting to the average of high, low, close, and close (hlcc4).
📌 Usage Notes
Responsive Yet Smooth: The double WMA smoothing ensures the oscillator is less prone to noise but remains quick to react to market changes.
Volume Weighting: Emphasizes price moves on higher volume bars, improving signal reliability in volatile markets.
Trend Identification: Positive and negative readings provide clear trend signals, while divergence histograms highlight potential turning points.
Visual Clarity: Color-coded plots and background highlighting assist quick interpretation.
Optimized for ETHUSD: Especially effective in high-liquidity, high-volatility assets like Ethereum.
Complement with Other Tools: Use alongside price action or other indicators to confirm trends and entry/exit points.
Backtest and Validate: Always validate settings on your chosen asset and timeframe before live use.
⚠️ Disclaimer
This indicator is for educational and analytical purposes only and does not constitute financial advice. Trading involves significant risk, and users should perform due diligence before trading.
Enjoy enhanced trend following with the Weighted Volume ROC Oscillator!
Exhaustion 1-9 ScannerFind numbers to use in the scanner. If +9 or close is a berishsetup, if -9 or close is a bullish setup
Dynamic MA Convergence (Smooth MTF)DMC-MA (Dynamic MA Convergence) — Functional Details1. Multi-Timeframe (MTF) Monitoring LogicThis indicator doesn't just display a single MA; it constantly monitors the relationship between the "Current Timeframe" and its "Higher Timeframe (High-TF)" equivalent. When you switch charts, the indicator automatically selects the corresponding High-TF according to the following logic:Current Chart TFMonitored High-TF1 minute (1m)5 minutes (5m)5 minutes (5m)15 minutes (15m) *Optionally 30m15 minutes (15m)1 hour (1H)1 hour (1H)4 hours (4H)4 hours (4H)Daily (D)Daily (D)Weekly (W)Weekly (W)Monthly (M)2. Real-Time Status DetectionThe dashboard (table) and alerts categorize the distance and direction between the two MAs into four distinct states:Convergence: The short-term MA is moving toward the High-TF MA. This often indicates a "pullback" or "retracement" within a trend.Divergence: After converging, the MAs begin to separate again without crossing. This suggests a "trend continuation."Breakout / Breakdown: The short-term MA clearly crosses the High-TF MA. This indicates a potential "trend reversal" or shift in momentum.3. Smooth MTF Line (MA Interpolation)Standard MTF indicators often appear "stepped" or "jagged" when displaying higher timeframe data on lower timeframes. This script utilizes linear interpolation to calculate values for every single bar, resulting in a smooth, natural curve. This significantly improves the accuracy of price-action analysis and MA-touch detection.Technical Notes & CorrectionsLocalized Timeframe Labels:We have moved away from raw numerical IDs (like "60"). By setting the "Language" toggle to EN, all alert messages and table headers will display intuitive labels like "1H" instead of "60".5-Minute Chart Flexibility:Exclusively for the 5m chart, an option (Use 30m as High-TF) is included to switch the reference from 15m to 30m, catering to both scalpers and day traders.Calculation Integrity:The core detection algorithms (cross-detection and convergence direction) remain untouched, ensuring consistent logical performance.How to UseSet your preferred MA Length (Default: 20).Choose your Display Language (JP or EN).Configure Display Settings to show either the status of all timeframes or only the current one.
DMC-MA (Dynamic MA Convergence) — 機能詳細1. マルチタイムフレーム (MTF) 監視ロジック本インジケーターは、単一のMAを表示するのではなく、「現在の足」と「その一段上の上位足」のMAがどのような位置関係にあるかを常に監視します。チャートを切り替えると、以下の対応表に基づいて自動的に監視対象（上位足）が選択されます。表示中の時間足 (Current)監視対象の上位足 (High-TF)1分足 (1m)5分足 (5m)5分足 (5m)15分足 (15m) ※設定で30分に変更可15分足 (15m)1時間足 (1H)1時間足 (1H)4時間足 (4H)4時間足 (4H)日足 (D)日足 (D)週足 (W)週足 (W)月足 (M)2. リアルタイム・ステータス判定ダッシュボード（テーブル）およびアラートでは、MA同士の距離と方向から以下の4つの状態を判定します。収束 (Convergence): 短期MAが上位足MAへ向かって近づいている状態。押し目や戻りの形成を示唆します。拡散 (Divergence): 収束した後、交差せずに再び本来のトレンド方向へ離れていく状態。トレンドの再開を示唆します。上抜け・下抜け (Breakout/Down): 短期MAが上位足MAを明確にクロスした状態。トレンド転換の初動を示唆します。3. スムーズMTFライン (MA平滑化)通常、下位足チャートに上位足のMAを表示すると「階段状」にガタつきますが、本スクリプトは線形補間ロジックにより、バーごとに滑らかなラインを描画します。これにより、価格がMAにタッチしたかどうかの判定精度が向上しています。修正箇所と技術的な解説 / Correction & Technical Context時間足ラベルの言語対応:(JP) 以前の「60」などの数字表記を廃止しました。設定の「Language」をJPにすれば「1時間足」、ENにすれば「1H」と、アラートメッセージやテーブルの見出しが完全に切り替わります。(EN) Replaced raw numbers (e.g., "60") with localized labels. Setting the Language to "EN" displays "1H" across alerts and the dashboard.5分足の例外設定:(JP) 5分足を使用する場合のみ、上位足を15分ではなく「30分」に変更できるオプション（Use 30m as High-TF）を搭載しています。これにより、スキャルピングからデイトレードまで柔軟に対応可能です。ロジックの不変性:(JP) 判定アルゴリズム（交差判定、収束方向の計算）には一切変更を加えていません。導入方法移動平均線の期間（デフォルト20）を設定。表示言語（JP/EN）を選択。表示設定で、特定の時間足の状態を常時リストアップするか、現在の足のみ表示するかを選択。
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.
RSI + Fibonacci + BB + VWMA ComboRSI + Fibonacci + Bollinger Bands + VWMA Combined Indicator
This advanced technical analysis tool combines four powerful indicators in a single panel for comprehensive market analysis:
📊 COMPONENTS:
- Bollinger Bands (BB) - Volatility and price range analysis
- Volume Weighted Moving Average (VWMA) - Volume-weighted trend tracking
- Fibonacci Retracement Levels - Dynamic support/resistance levels
- RSI-Based Buy/Sell Signals - Automated trading opportunities
🎯 FEATURES:
✅ Automatic BUY/SELL signals (RSI + BB combination)
✅ 7 different Fibonacci levels (0, 0.236, 0.382, 0.5, 0.618, 0.786, 1.0)
✅ Fully customizable parameters
✅ Alert support
✅ Color-coded visualization
✅ Volume-based moving average
⚙️ PARAMETERS:
- RSI Period: 14 (default)
- BB Period: 20 (default)
- VWMA Period: 20 (default)
- Fibonacci Lookback: 100 bars
- All levels are adjustable
📈 HOW TO USE:
- Green triangle: BUY signal (RSI < 30 + price near lower BB)
- Red triangle: SELL signal (RSI > 70 + price near upper BB)
- Fibonacci levels show dynamic support/resistance zones
- VWMA indicates trend direction
💡 IDEAL FOR:
Swing trading, day trading, trend analysis, and identifying entry/exit points
⚠️ DISCLAIMER: This indicator is for educational purposes only. Always apply proper risk management before making investment decisions.
Buy LineBuy Line based on volatility at highest close in period and an additional configurable multiplier on top
Directional Movement Index - DMIThis Pine Script is a Directional Movement Index (DMI) indicator for TradingView that provides a comprehensive visualization of trend direction and strength with several enhanced visual features.
📊 Core Indicator Components:
1. Directional Indicators:
+DI (Green line): Measures upward trend momentum
-DI (Red line): Measures downward trend momentum
ADX (Blue line, optional): Measures overall trend strength (can be toggled on/off)
2. Key Calculations:
Uses built-in ta.dmi() function to calculate all three components
isBull condition: Determines current bias based on which DI line is higher
Bull signal: When +DI crosses above -DI
Bear signal: When +DI crosses below -DI
🎨 Visual Design Features:
1. Chart Plotting:
Thick lines (width=3) for +DI and -DI for better visibility
Color-coded plots: Green (+DI), Red (-DI), Blue (ADX)
2. Background Highlighting:
Light green background on bullish crossovers
Light red background on bearish crossovers
Uses 60% transparency for subtle visual cues
3. Real-time Status Panel:
Fixed table in the middle-right of the chart
Displays "↑ Bullish" (green) or "↓ Bearish" (red) in huge text
Updates on every bar to show current market bias
4. Line Labels:
Text labels at the right edge identifying each line
Color-matched to their respective indicators
ADX label only appears when ADX is enabled
⚙️ User Controls:
ADX toggle: Show/hide the ADX line
DI Length: Adjust calculation period (default 17)
ADX Smoothing: Fine-tune ADX smoothing (default 1)
📈 Trading Application:
Trend Identification: Which direction has stronger momentum
Signal Generation: Crossovers indicate potential trend changes
Trend Strength: ADX (when shown) indicates if a trend is strong (>25) or weak
Visual Clarity: Multiple visual cues make signals easy to spot
🖥️ Display Logic:
The script intelligently handles what to display based on user settings
When ADX is disabled, it plots na (not available) to avoid scale distortion
All visual elements update dynamically with each new bar
🎯 Unique Aspects:
Multi-layered visualization: Combines lines, background colors, labels, and a status table
Clean separation: Uses box-drawing characters to organize code sections
Right-edge labeling: Makes indicator identification clear even on crowded charts
Immediate bias recognition: The large text table provides instant market bias assessment
This indicator is particularly useful for traders who want a clear, visually rich representation of trend direction without needing to interpret multiple lines simultaneously. The color-coded background and status panel provide quick visual confirmation of market conditions.
Bigul Index Analysis"Bigul Index Analysis" is a comprehensive TradingView Pine Script v5 indicator that combines consolidation zone detection with standard pivot point levels for professional index trading analysis.
Core Features
Consolidation Zones
Detects price consolidation periods using zigzag pivot logic over a configurable loopback period (default: 10 bars)
Identifies when price forms tight ranges lasting minimum length (default: 5 bars)
Paints consolidation areas with customizable semi-transparent zones
Draws dynamic upper (red dashed) and lower (lime dashed) boundary lines
Generates breakout alerts when price breaks above/below established zones
Pivot Point Levels
Calculates Standard Pivot Points (PP, R1, S1) using previous day's High, Low, Close
PP = (High + Low + Close) / 3
R1 = 2 × PP - Low
S1 = 2 × PP - High
Plots Yesterday's High/Low as key reference levels
Multiple display options: continuous lines, endpoint labels, or both
Visual Elements
text
📊 Information Table (Top Right)
┌─────────┬──────────┐
│ Level │ Value │
├─────────┼──────────┤
│ PP │ 24567.89 │ ← Yellow
│ R1 │ 24890.12 │ ← Red
│ S1 │ 24245.67 │ ← Green
│ YH/YL │ 24912/24123 │ ← Blue
└─────────┴──────────┘
Color Coding:
🟡 Yellow line: Pivot Point (PP)
🔴 Red line: Resistance 1 (R1)
🟢 Green line: Support 1 (S1)
🟠 Orange stepline: Yesterday High
🟣 Purple stepline: Yesterday Low
🔵 Blue zone: Consolidation area
➖ Red/Lime dashed: Zone boundaries
Trading Signals & Alerts
5 Alert Conditions:
Consolidation Breakout UP - Price breaks above zone
Consolidation Breakout DOWN - Price breaks below zone
Price Above R1 - Close crosses above R1 level
Price Below S1 - Close crosses below S1 level
Customization Options
text
Loopback Period: 2-50 bars (default: 10)
Min Consolidation Length: 2-20 bars (default: 5)
Paint Zones: Toggle on/off
Zone Color: Customizable transparency
Pivot Display: Lines / Labels / Both
Toggle Pivot Points & Yesterday H/L independently
Use Case for Bigul Index Trading
Perfect for NIFTY/BANKNIFTY intraday analysis:
Identify consolidation zones for breakout setups
Use pivot levels as intraday support/resistance
Yesterday H/L as key reference for stop-loss/target
Multiple timeframe confirmation with table values
Strategy Example: Long when price breaks consolidation zone upward AND above PP/R1 confluence
Session MidpointsGives you session time boxes and their midpoints.
Gives you session time boxes and their midpoints.
Gives you session time boxes and their midpoints.
Gives you session time boxes and their midpoints.
Gives you session time boxes and their midpoints.
Quantum Trend Flow (QTF) - Jonathan Mwendwa NdungeQuantum Trend Flow (QTF)
Author: Jonathan Mwendwa Ndunge
Description:
Quantum Trend Flow (QTF) is a cutting-edge, institutional-grade trend analysis and execution indicator designed for day trading and short-term swing strategies. It leverages multi-timeframe trend analysis, probabilistic scoring, liquidity sweep detection, CHOCH (Change of Character), and Order Block confirmation to provide high-confidence trading opportunities.
Key Features:
Multi-Timeframe Trend Scoring:
Tracks 3 Donchian channels across HTF (4H), MTF (1H), and LTF (15M) to compute a trend probability score.
Scores the market bias dynamically for both bullish and bearish conditions.
Probability Ribbon:
Displays a gradient ribbon representing the likelihood of bullish vs bearish dominance (0–100%).
Green = bullish probability, Red = bearish probability, Yellow = neutral.
Smart Money Concept Validation:
Integrates CHOCH to identify genuine shifts in market structure.
Confirms entries using Order Blocks and Liquidity Sweeps, reflecting probable institutional activity.
Execution Logic:
Only triggers trades when probability exceeds the configurable threshold and all structural conditions align.
Labels on the chart indicate high-confidence bullish or bearish opportunities.
Dashboard Overview:
Summarizes HTF, MTF, and LTF trend scores along with execution readiness for quick decision-making.
Why QTF is Hedge-Fund Level:
Combines probabilistic trend scoring with smart money concepts for precision entries.
Fully non-repainting and deterministic for live and historical analysis.
Filters noise and highlights high-probability zones where institutional orders are likely to occur.
Multi-layered validation ensures trades are aligned with market structure, liquidity, and trend momentum.
Use Case:
Ideal for day traders and short-term swing traders who want a systematic, high-probability, institutional-style edge.
Can be combined with risk-to-reward strategies (e.g., RR 1:2) and proper money management.
Bull/Bear Volume DiagramOverview
This indicator displays trading volume in a mirrored diagram that separates bullish and bearish activity. Bullish candle volume is plotted above the center line, while bearish candle volume is plotted below it. This layout helps visualize market participation and directional pressure in a more intuitive way than traditional volume histograms.
How It Works
The indicator evaluates each candle and determines whether it is bullish or bearish based on its open and close prices:
If the candle closes above its open, its volume is plotted upward.
If the candle closes below its open, its volume is plotted downward.
Each side is color-coded independently to clearly distinguish buying and selling pressure.
Additionally, the indicator calculates a moving average of volume separately for bullish and bearish candles. These averages help identify trends in directional volume strength and allow traders to compare buyer versus seller dominance over time.
Features
Mirrored bullish and bearish volume visualization
Independent color customization for bullish and bearish volume
Directional volume moving averages
Clear separation of buying and selling activity
Lightweight and responsive calculation
How To Use
This indicator can help traders:
Identify which side of the market is dominating volume
Detect shifts in buying or selling pressure
Compare momentum between bullish and bearish participation
Observe volume trends more clearly than with standard volume bars
Notes
Volume is classified using candle direction, not order flow or tick data.
Results may vary depending on timeframe and market type.
This indicator is intended as a visual analysis tool and should be combined with other technical analysis methods.
TCT Trends Dashboard with all time frame trends. Use to see where the ticker has been and where its heading!
Dual HTF RSI .88x Nanny v1.0Dual HTF RSI .88x Nanny 🦆🥒
English Description:
The "Nanny" is a professional control tool designed for traders using deep retracement strategies like the .886 Sniper. This indicator monitors two different High-Timeframe (HTF) RSI values simultaneously to protect you from entering trades during high-risk market conditions such as overbought "FOMO" peaks or oversold "Crash" drops.
Why use the Nanny?
Even a perfect technical setup on lower timeframes can fail if the Daily or 4H RSI is at extreme levels. This indicator provides a clear visual safeguard, ensuring you only trade when the overarching market momentum is in a "Safe Zone."
⚠️ IMPORTANT NOTE:
Asset volatility varies significantly between BTC, ETH, and Altcoins.
Optimal RSI thresholds and Timeframes must be determined per asset via backtesting.
Do not rely solely on default values; adjust them according to your specific asset analysis.
🎯 Key Features:
🛡️ Dual HTF Guard: Track two timeframes at once (e.g., 4H and Daily).
📊 Compact UI: Two-column vertical layout designed for maximum readability.
📏 UI Offset: Integrated spacer to prevent overlap with standard chart labels.
🦆/🥒 Visual Feedback: Simple Emoji-based status (Duck = Safe, Cucumber = Risk).
🦆/🥒 Symbolism:
Duck (🦆): RSI is within your safe boundaries.
Cucumber (🥒): Market is either overextended or crashing.
⚙️ Settings:
Fully customizable RSI periods, thresholds, and timeframes. Text size is set to "Normal" for best compatibility across all devices.
🇩🇪 Deutsche Beschreibung:
Die "Nanny" überwacht zwei High-Timeframe (HTF) RSIs gleichzeitig, um dich vor "Crash-Gefahr" oder "FOMO-Fallen" zu schützen. Ideal für Sniper-Strategien.
⚠️ WICHTIGER HINWEIS:
Die Volatilität unterscheidet sich stark zwischen BTC und Altcoins.
Bitte ermittelt eure optimalen RSI-Werte und Timeframes pro Asset durch Backtesting.
🎯 Features:
🛡️ Dual Guard: 2 Zeitrahmen gleichzeitig im Blick.
📊 UI: Platzsparendes 2-Spalten Layout mit Abstand zum oberen Rand.
🦆/🥒 Logik: Ente = Safe Zone, Gurke = Risiko.
Support:
Von Horsti mit viel 🦆 ❤️ für die VIP Crypto Community gemacht.
