Threshold AO VisualisationThe channel is a set of classic indicators with the ability to be customized, allowing for comprehensive market analysis and the ability to find entry points.
تحليل الاتجاه
Luminous Trend Wave [Pineify]```
Luminous Trend Wave - Hull MA Based Normalized Momentum Oscillator
The Luminous Trend Wave (Pineify) is a momentum oscillator designed to provide clear, responsive trend signals while minimizing the lag commonly associated with traditional momentum indicators. By combining Hull Moving Average (HMA) calculations with ATR-based normalization and hyperbolic tangent transformation, LTW delivers a bounded oscillator that works consistently across different assets and timeframes.
Key Features
Hull Moving Average foundation for reduced lag trend detection
ATR normalization for universal applicability across all markets
Bounded output range (-100 to +100) using mathematical tanh transformation
Dynamic gradient coloring that reflects momentum intensity
Built-in signal line for momentum confirmation
Automatic alerts for trend reversals and momentum shifts
How It Works
The indicator operates through a four-stage calculation process:
Trend Basis Calculation: The indicator first calculates a Hull Moving Average (HMA) of the closing price. HMA was chosen specifically because it provides significantly less lag compared to Simple or Exponential Moving Averages while maintaining smoothness. This allows the oscillator to respond quickly to genuine price movements.
Distance Measurement: The raw distance between the current close price and the HMA trend line is calculated. This distance represents how far price has deviated from its smoothed trend.
ATR Normalization: The distance is then divided by the Average True Range (ATR) over the same lookback period. This normalization step is crucial - it makes the oscillator readings comparable across different assets regardless of their price levels or typical volatility. A stock trading at $500 and one at $5 will produce equivalent readings when their relative movements are similar.
Tanh Transformation: Finally, the normalized value is passed through a hyperbolic tangent function scaled by a sensitivity multiplier. The mathematical formula (e^2x - 1) / (e^2x + 1) naturally bounds the output between -100 and +100, preventing extreme spikes while preserving the directional information.
Trading Ideas and Insights
Zero Line Crossovers: When the oscillator crosses above zero, it indicates a shift from bearish to bullish momentum. Conversely, crossing below zero signals bearish momentum. These crossovers can be used as entry triggers when confirmed by other analysis.
Overbought/Oversold Levels: Readings above +80 suggest overbought conditions where price has extended significantly above its trend. Readings below -80 indicate oversold conditions. These extremes often precede mean reversion moves.
Signal Line Divergence: When the main oscillator (histogram) is above the signal line, momentum is increasing. When below, momentum is decreasing. This relationship helps identify the strength of the current move.
Momentum Fading: The indicator automatically fades the color intensity when the oscillator value is closer to the signal line than to the extremes, visually indicating weakening momentum before potential reversals.
How Multiple Indicators Work Together
LTW integrates three distinct technical concepts into a cohesive system:
Hull MA + ATR Integration: The Hull Moving Average provides the trend direction while ATR provides the volatility context. Together, they answer not just "where is the trend?" but "how significant is the current deviation relative to normal market movement?"
Mathematical Bounding + Visual Mapping: The tanh transformation ensures readings stay within predictable bounds, while the gradient coloring maps these bounded values to intuitive visual feedback. Strong bullish readings appear in bright green, strong bearish in bright red, with smooth transitions between.
Oscillator + Signal Line System: Similar to MACD's relationship between the MACD line and signal line, LTW uses a WMA-smoothed signal line to filter noise and confirm momentum direction. The interplay between the faster oscillator and slower signal creates actionable crossover signals.
Unique Aspects
Universal Normalization: Unlike many oscillators that produce different reading ranges on different assets, LTW's ATR normalization ensures consistent interpretation whether trading forex, crypto, stocks, or commodities.
Sensitivity Control: The sensitivity parameter allows traders to adjust how aggressively the oscillator responds to price changes. Higher values make it more responsive (useful for scalping), while lower values smooth out noise (better for swing trading).
Visual Momentum Feedback: The gradient coloring and transparency adjustments provide immediate visual feedback about trend strength without requiring traders to interpret numerical values.
How to Use
Add the indicator to your chart - it displays in a separate pane below price.
Watch for zero line crossovers as primary trend signals. Bullish when crossing above, bearish when crossing below.
Use the ±80 levels as caution zones where reversals become more likely.
Monitor the relationship between the histogram and signal line - histogram above signal indicates strengthening momentum.
Pay attention to color intensity - faded colors indicate weakening momentum and potential reversal zones.
Set alerts for automated notifications on trend changes and momentum shifts.
Customization
Trend Lookback (default: 21): Controls the HMA period. Lower values increase responsiveness but may generate more false signals. Higher values provide smoother trends but with more lag.
Signal Smoothing (default: 5): Adjusts the WMA period for the signal line. Higher values create a slower signal line with fewer crossovers.
Sensitivity (default: 1.5): Multiplier for the tanh transformation. Increase for more reactive signals, decrease for smoother readings.
Colors: Fully customizable bullish and bearish colors to match your chart theme.
Gradients: Toggle gradient coloring on/off based on preference.
Conclusion
The Luminous Trend Wave indicator offers traders a mathematically sound approach to momentum analysis. By combining the low-lag properties of Hull Moving Average with ATR-based normalization and bounded output transformation, LTW provides consistent, interpretable signals across any market. The visual feedback system makes trend strength immediately apparent, while the signal line crossovers offer clear entry and exit timing. Whether used as a standalone tool or combined with price action analysis, LTW helps traders identify trend direction, momentum strength, and potential reversal zones with clarity.
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Seasonality (Prev Month Close Expected)Seasonality Indicator
This indicator shows how an asset has historically behaved during each calendar month. It highlights the typical price direction and strength for the current month based on long-term seasonal patterns.
The projected zone on the chart represents the average historical outcome for the ongoing month, allowing traders to quickly see whether current price action is developing in line with, above, or below its usual seasonal behavior. A heatmap summarizes monthly performance across years, making recurring strong and weak periods easy to identify.
Vladimir Popdimitrov
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.
LDEF SENS Loss Dependent Error Filter Dominance Regime SwitchCAPITALCOM:GOLD
LDEF SENS stands for Loss Dependent Error Filter. This indicator is a dominance regime filter with an adaptive switch boundary. It separates the market into two main states.
Directional tradeable tape (trend and impulse conditions)
Balanced noisy tape (higher fakeout probability)
It also provides a dominance direction bias (bull vs bear) and an adaptive boundary you can use as a market switch signal.
What you see in the indicator pane (bottom panel)
Main line (0 to 100): dominance sensitivity score
Line color meaning
Green: bullish dominance (L greater than R)
Red: bearish dominance (R greater than L)
Gray: low strength or mixed tape
Purple line: adaptive regime boundary (moving threshold)
Violet shading: regime ON (tradeable conditions)
Key idea: height equals strength, color equals direction, violet shading equals regime state.
How to read the three images
Image A - Regime ON in a trending environment
Where to look
Price panel: left to middle shows a clean up move
Indicator panel: directly below the same time window
Violet band is present for a sustained stretch
Main line stays high and mostly green
What it means
When the violet band stays ON, the tape is directional enough for trend following setups to have higher quality. This is not an entry signal. It is an environment filter.
Image B - Switch boundary and state changes
Where to look
Indicator panel: focus on the purple adaptive line and the main line crossing relative to it
Watch the moment the main line moves above the purple line. In the same region, violet shading turns ON.
What it means
The purple line is the adaptive regime boundary.
Cross above: regime switches toward directional tape (state change confirmation)
Cross below: regime fades and chop risk returns
Image C - Direction semantics inside a regime
Where to look
Indicator panel: inside violet shaded regions
Main line is green during bullish dominance (L greater than R)
Main line is red during bearish dominance (R greater than L)
What it means
Violet answers: is this a tradeable regime
Green or red answers: which side is dominating
Together, they provide a filter plus bias framework.
Practical usage
Regime filter
Prefer setups only when the violet band is ON
Reduce size or tighten criteria when the violet band is OFF
Direction bias
Prefer longs when the line is green
Prefer shorts when the line is red
Treat gray as no edge or mixed tape
Switch boundary analysis
Cross above purple: treat as regime shift confirmation
Cross below purple: treat as regime cooling off and higher chop risk
Limitations
This is a regime and dominance tool, not a standalone entry generator. Regime confirmation can be late by design, especially after shocks. Use it with structure, liquidity, and risk management.
Market Structure & Supply-Demand EngineMarket Structure & Supply-Demand Engine (MSD-Engine) is a professional, non-repainting market structure and supply-demand analysis tool built purely on price action and volatility logic.
This indicator is designed for discretionary traders who want a clean, institutional-style view of market structure without lagging indicators or strategy automation.
🔍 What This Indicator Does
MSD-Engine identifies major structural reversals, plots price-action based supply & demand zones, and provides multi-timeframe confluence in a single, unified framework.
It is visual and analytical only — no strategy orders, no backtesting, and no repainting.
🚀 Core Features
• Non-Repainting Market Structure
Event-based swing reversal detection
ATR-adaptive displacement filtering
Confirmed pivots only (no future leaks)
• Pure Supply & Demand Zones
Candle-structure based zone detection
Volume-weighted zone strength
Automatic invalidation on breach
Configurable zone limits to maintain chart clarity
• Multi-Timeframe Context (MTF)
Chart timeframe structure
Two independent higher-timeframe supply & demand layers
Higher-timeframe directional bias visualization
HTF zones plotted only on confirmed HTF closes
• Volatility-Adaptive Logic
ATR normalized across timeframes
Dynamic reversal thresholds
Stable behavior from scalping to swing charts
• Trendline Lifecycle Tracking
Automatic major trendline construction
Single-fire break detection
Break validation / failure logic
HTF-aligned vs counter-trend classification
🧠 Designed For
• Discretionary price-action traders
• Supply & demand traders
• Market structure & smart-money style analysis
• Multi-timeframe confluence trading
• Futures, indices, forex, crypto, and equities
⚠️ Important Notes
This is NOT a strategy or auto-trading system
No buy/sell signals or performance metrics
No repainting (uses barmerge.lookahead_off)
Educational & analytical use only
📜 Disclaimer
This script is provided for educational and analytical purposes only.
It does not constitute financial advice. Trading financial markets involves risk.
Jurik MA Trend Breakouts [BigBeluga]🔵 OVERVIEW
Jurik MA Trend Breakouts is a precision trend-breakout detector built on a custom Jurik-smoothed moving average.
It identifies trend direction with ultra-low lag and maps breakout levels using pivot-based swing highs/lows.
The indicator plots dynamic breakout lines and confirms trend continuation or reversal when price breaks them — providing clean, minimalistic yet extremely accurate trend signals.
🔵 CONCEPTS
Jurik Moving Average (JMA) — A highly smooth and low-lag moving average that reacts quickly to trend shifts without noise. This becomes the core trend baseline.
Trend Bias —
• JMA rising → bullish trend
• JMA falling → bearish trend
The JMA color updates instantly based on slope.
Swing Pivots — Recent pivot highs/lows are detected to define structural break levels while filtering out weak noise.
Trend Breakout Levels —
The indicator draws horizontal levels at the last valid pivot in the direction of the trend.
These levels act as “confirmation gates” for breakout entries.
ATR Validity Filter — Ensures only meaningful pivots within a threshold are used to prevent fake breakouts.
🔵 FEATURES
Ultra-Smooth Jurik Trend Line — A visually clean trend baseline changing color based on direction.
Automatic Swing High Breakout Setup (Bullish) —
• During an uptrend, the indicator tracks the most recent pivot high.
• A horizontal breakout line is extended across the chart.
• A ✔ marker appears at both pivot points when the breakout structure becomes valid.
Automatic Swing Low Breakout Setup (Bearish) —
• During a downtrend, pivot lows are tracked.
• A horizontal breakout line marks the breakdown level.
• ✔ markers confirm valid structure before the breakout triggers.
Breakout Detection —
• Price closing above the bullish breakout line → “↑” signal printed on the chart.
• Price closing below the bearish breakout line → “↓” signal printed on the chart.
Automatic Reset on Trend Change —
When the JMA trend flips, all breakout structures are cleared and the model starts tracking new pivot levels.
Trend-Colored Visualization —
Glow + main JMA line give instant clarity of market direction.
🔵 HOW IT WORKS
1. JurikMA defines the main trend — Slope determines bullish or bearish state.
2. The indicator continuously searches for pivots in the direction of the trend.
3. When a valid pivot forms and passes ATR proximity filter, a structural breakout level is drawn.
4. As long as price stays below that level (bullish case), the trend setup remains active.
5. When price finally breaks the level , the indicator prints a directional arrow (↑ or ↓).
6. Trend flip instantly resets all levels and begins tracking pivots on the opposite side.
🔵 HOW TO USE
Breakout Trading — Enter long on “↑” and short on “↓” signals when price breaks key pivot structure.
Trend Confirmation — Use the JurikMA color to stay aligned with the main trend direction.
Reversals — Trend flips often mark major turning points.
Structure Mapping — Use the horizontal breakout lines to understand how close price is to confirming a new trend leg.
🔵 CONCLUSION
Jurik MA Trend Breakouts combines the speed of a Jurik MA with structural breakout logic to deliver clean, reliable entry signals.
Its minimal design, pivot-based confirmation, and trend-aligned logic make it suitable for scalping, swing trading, and intraday trend continuation setups.
If you want fast yet filtered breakout recognition with almost zero noise, this tool gives you everything you need.
Multi-Timeframe EMA LevelsThis indicator will plot 2 different EMA's from 4 different timeframes on your chart. It displays as horizontal dotted lines so does not clutter your chart with loads of MA's. The lines are labeled with timeframe, EMA length and the level value. Levels update in real time.
If you are trading key levels or ma's this plots everything for you on one single chart.
MIZAN: Fake Out / Inducement HunterDescription
STOP GETTING TRAPPED BY THE MARKET!
Are you tired of getting stopped out right before the market moves in your direction? This is called a Fake Out or Liquidity Sweep. The "MIZAN Fake Out Hunter" is designed to detect these manipulation patterns automatically using Smart Money Concepts (SMC).
💎 How It Works:
Identifies Key Levels: The script automatically detects major Swing Highs and Swing Lows (Key Fractals) where liquidity (Stop Loss orders) is resting.
Detects Inducement: It monitors price action approaching these levels. When price creates "Equal Highs" or "Equal Lows" near a key level without breaking it, it identifies this as Inducement (a trap for retail traders).
Signals the Sweep: The signal fires ONLY when price aggressively breaks the level (sweeping the liquidity) and immediately rejects (closes back inside the range).
🚀 Features:
Bullish Fake Out (Green Signal): Detects when sellers are trapped at support (Stop Hunt Low).
Bearish Fake Out (Red Signal): Detects when buyers are trapped at resistance (Stop Hunt High).
Alerts Included: Never miss a manipulation setup again.
🧠 How to Trade: Use this indicator to confirm entries at Major Support/Resistance or Supply/Demand zones. Wait for the "FAKE OUT" signal to confirm that the Smart Money has finished collecting liquidity before entering the trade.
12H Fib MidpointsPrints the .5 fib retrace for final trading levels on the 1 minute chart.
Background process is exactly how its done in the video EverEvolving365 shared
DarkFutures Where/How/WhenTesting - for 15min Gold scalps
It identifies 4hr Where, 30m How and 5min When sareas of trade, then gives a signal to buy/sell based on that trend and momentum information using 8/21 EAM and Vwaps.
JB Trader - Scenario B: Visual Pro (Nifty 50)Description: Designed and developed by Jeya Bharathi (JB), Founder of JB Trader.
This is a high-precision scalping strategy specifically optimized for Nifty 50 and Bank Nifty. It combines trend-following logic with momentum and volume confirmation to capture quick moves in the intraday market.
Key Features:
Multi-Indicator Synergy: Integrates SuperTrend for trend direction and VWAP for institutional price alignment.
Candle Break Confirmation: Entries are triggered only when a price break occurs (High/Low) on the signal candle, ensuring momentum is on our side.
Volume Filter: Built-in volume analysis to filter out "false breakouts" during low-liquidity periods.
Visual Dashboard: Real-time on-chart table showing current trend status and decision-making (Buy/Sell/Wait).
Time-Restricted Trading: Optimized for Indian market hours (9:15 AM - 2:45 PM) to avoid end-of-day volatility.
Best Performance:
Timeframe: 3 Minutes or 5 Minutes.
Asset: Nifty 50 Index / Futures.
Declaration & Disclaimer:
Educational Purpose: This script is developed for educational and analytical purposes only.
Risk Warning: Trading involves significant risk. JB Trader is not responsible for any financial losses incurred using this strategy.
No Financial Advice: The signals generated by this script do not constitute financial advice. Users should consult a certified financial advisor before making any investment decisions.
Proprietary Logic: This code is the intellectual property of JB Trader (Jeya Bharathi). Unauthorized reproduction or redistribution is strictly prohibited.
Adaptive MTF EMA (auto TF)Adaptive MTF EMA (Auto TF) — Mid & Slow EMA that adjusts with chart timeframe
by @theadventuredan
This indicator plots two Higher-Timeframe EMAs (a Mid and a Slow EMA) on your current chart — but unlike normal MTF EMA scripts, the higher timeframes adapt automatically when you change the chart timeframe.
Instead of having to reconfigure TFs every time you switch from 5m to 15m to 1h, the indicator keeps the same “relationship” by using timeframe multipliers:
Mid TF = current chart TF × Mid Multiplier
Slow TF = current chart TF × Slow Multiplier
Example (default multipliers: 3× and 12×):
On 5m: Mid = 15m, Slow = 60m
On 15m: Mid = 45m, Slow = 180m (3h)
On 1h: Mid = 3h, Slow = 12h
This is especially useful if you use MTF EMA alignment as a trend filter (e.g., Mid EMA above Slow EMA = bullish bias).
How it works
The script reads your current chart timeframe using timeframe.in_seconds(timeframe.period) and converts it into minutes.
It calculates the adaptive MTF targets:
midMin = curMin × midMult
slowMin = curMin × slowMult
It requests the EMA from those higher timeframes via request.security() and plots them on your chart.
Optional:
A label can display the currently calculated Mid and Slow TFs (in minutes).
Inputs
EMA Length: EMA period (default 50)
Mid TF Multiplier: how many times higher the mid timeframe should be (default 3)
Slow TF Multiplier: how many times higher the slow timeframe should be (default 12)
Use confirmed HTF values (safer):
When enabled, the script uses the previous HTF EMA value (EMA ) to reduce behavior caused by partially formed higher-timeframe candles.
This may lag slightly but is often preferred for signal consistency.
Show TF label: shows a label with the current adaptive TFs
Notes / Limitations
Because the higher timeframe is derived by multiplication, some results may produce less common timeframes (e.g., 45m or 12h). This is expected.
MTF values depend on request.security() and will always reflect higher-timeframe candle logic (especially during an unclosed HTF candle). If you want less “in-progress candle” behavior, enable Use confirmed HTF values.
This is an EMA overlay tool — not a standalone buy/sell system.
Suggested usage
Trend bias filter: Mid EMA > Slow EMA = bullish bias, Mid < Slow = bearish bias
Entry alignment: use the adaptive EMAs as “context” while trading lower TF setups
Dynamic market structure: switch timeframes while keeping consistent “one step higher / two steps higher” EMA reference
Vegas Triple Tunnel (CGYJ Pro)维加斯三通道（Vegas Tunnel）
指标简介
维加斯三通道是由职业交易员Vegas开发的经典趋势跟踪系统，通过三组EMA均线构建短期、中期、长期三层通道，帮助交易者识别趋势方向和最佳入场时机。
通道结构
通道均线用途短期EMA 21 / 26短线趋势、快速入场中期EMA 144 / 169核心趋势判断、标准入场长期EMA 576 / 676大趋势方向、重要支撑阻力
使用方法
多头排列：短期通道 > 中期通道 > 长期通道，逢回调做多
空头排列：短期通道 < 中期通道 < 长期通道，逢反弹做空
回调入场：价格回踩通道后反弹是最佳入场点
适用范围
适用于所有品种和周期，H1、H4、日线效果最佳。
Vegas Triple Tunnel
Overview
The Vegas Triple Tunnel is a classic trend-following system developed by professional trader Vegas. It uses three pairs of EMA lines to construct short-term, medium-term, and long-term channels, helping traders identify trend direction and optimal entry points.
Channel Structure
Short-term Channel: EMA 21 / 26 - For quick trend identification and short-term entries
Medium-term Channel: EMA 144 / 169 - Core trend judgment and standard entries
Long-term Channel: EMA 576 / 676 - Major trend direction and key support/resistance levels
How to Use
Bullish Alignment: Short > Medium > Long channel, look for pullback entries to go long
Bearish Alignment: Short < Medium < Long channel, look for bounce entries to go short
Best Entry: Price pullback to channel and bounce provides optimal entry opportunities
Applicable Markets
Works on all instruments and timeframes. Best results on H1, H4, and Daily charts.
ST Order Block EngineAdvanced order block detection based on displacement and structural validation.
EMAsDescription:
This indicator displays 10 separate Exponential Moving Averages (EMAs) on your chart to help you identify trend direction and potential support/resistance levels.
Unlike Simple Moving Averages (SMAs), EMAs place greater weight on recent price data, allowing for a faster reaction to price changes.
Key Features:
10 Customizable Lines: You can configure the length and source for up to 10 different EMAs.
Dynamic Coloring: The lines change color based on the relationship between the price and the EMA.
EMAs 1-5: Blue when price is above, Orange when price is below.
EMAs 6-10: Green when price is above, Red when price is below.
Visual Hierarchy: Key moving averages (default periods like 50, 200, 600) are rendered with thicker lines to make them stand out as major trend indicators.
Default Settings: The script comes with the following default periods, covering short to long-term trends: 9, 20, 50, 75, 100, 200, 250, 300, 400, 500, 600.
Hope you find this tool useful for your trend analysis!
EZ Trend Indicator**EZ Trend Indicator (ElectZA)**
EZ Trend Indicator is a clean, lightweight trend tool built around the classic **EMA 50 / EMA 200** relationship. It plots both moving averages directly on price and automatically shades the chart background to quickly show whether the market is in a **bullish** or **bearish** environment. It also includes alert conditions for trend state changes so you can monitor direction without staring at the screen.
### What it shows
* **EMA 50 (Blue):** faster trend line (shorter-term direction)
* **EMA 200 (Red):** slower trend line (longer-term direction)
* **Background shading:**
* **Green** when EMA50 is above EMA200 (bullish trend)
* **Red** when EMA50 is below EMA200 (bearish trend)
### How to use
* **Trend filter (simple & effective):**
* When the background is **green**, prioritize **buy/long setups** and avoid counter-trend sells.
* When the background is **red**, prioritize **sell/short setups** and avoid counter-trend buys.
* **Crossover confirmation:**
* A shift from red → green suggests a potential bullish trend transition.
* A shift from green → red suggests a potential bearish trend transition.
* **Alerts:**
* Use **Bull Trend** alerts to get notified when the script detects a bullish trend state.
* Use **Bear Trend** alerts to get notified when the script detects a bearish trend state.
* **Best practice tip:**
* Combine this with your entry model (price action, support/resistance, MACD/RSI, etc.)—use EZ Trend Indicator as the **direction filter**, not the only trigger.
---
### Disclaimer
This indicator/script is provided for **educational and informational purposes only** and does **not** constitute financial, investment, or trading advice. Trading involves **significant risk**, and you may lose some or all of your capital. Past performance is **not** indicative of future results. Always do your own research, backtest on your market/timeframe, and apply proper risk management. By using this script, you accept full responsibility for all trading decisions and outcomes.
BoaBias: Fractals + FVG [FREE]BoaBias: Fractals + FVG is a professional market structure analysis indicator that combines advanced fractals and Fair Value Gaps (FVG) with multi-timeframe support.
✨ Key Features
🔷 Advanced Fractals
Fractal Type Detection: Automatic identification of Day/Week/Month/Day+Week fractals
Smart Break Detection: Breakouts are checked on corresponding timeframes
3 or 5 Bar Fractals: Adjustable sensitivity
Visual Support/Resistance Lines: Clear display of key levels
📈 Fair Value Gaps (FVG)
Current Timeframe FVG: Automatic detection and display of zones
HTF FVG Support: FVG analysis across multiple timeframes (1H, 4H, 12H, 1D, 3D, 1W, 1M)
Auto Removal: Filled zones are automatically removed
Color Customization: Separate colors for bullish and bearish zones
🎯 Who is this indicator for?
Traders using market structure analysis
Those working with fractals and FVG
Multi-timeframe traders
Anyone who wants to visually see key levels and zones
⚙️ Settings
Fractals
Fractal period (3 or 5 bars)
Line width
Maximum active levels
Display window (last N bars)
Break detection settings (body only or with wicks)
FVG
Enable/disable FVG
HTF timeframe configuration
Colors for bullish and bearish zones
Automatic removal of filled zones
Maximum HTF zones count
💡 Advantages
✅ Clean Visual Analysis — Only lines and zones, no clutter
✅ Multi-Timeframe Analysis — See structure across different timeframes simultaneously
✅ Smart Fractal Logic — Automatic identification of important levels
✅ Professional Tool — Used in real trading
LSMA25 Trend Correction Continuation
## LSMA25 Trend Correction Continuation - Publishing Description
### Overview
This indicator highlights **trend continuation opportunities** using a **25-period LSMA (Least Squares Moving Average)** with a **slope/angle filter** and a simple **correction + re-entry** logic.
It is designed to mark:
* **Continuation entries** after a pullback (correction) and re-cross of LSMA in the direction of a strong trend
* **Strong-trend state** (subtle dots) when price stays on the trend side of LSMA with a steep angle, even without a fresh cross
### Core logic
1. **LSMA (25 by default)**
* Uses `ta.linreg(close, lsmaLen, 0)` as the LSMA line.
2. **Trend strength via angle (tick-normalized)**
* Computes 1-bar LSMA slope in **ticks**:
* `slopeTicks = (lsma - lsma ) / syminfo.mintick`
* Converts slope to an angle using `atan()` and a calibration input:
* `ticksPerBarFor45` approximates how many ticks per bar corresponds to ~45°
* Strong trend conditions:
* LONG trend strength when `angleDeg >= minAngleLongDeg`
* SHORT trend strength when `angleDeg <= minAngleShortDeg`
3. **Correction detection**
* LONG side: a correction exists if within the last `corrLookback` bars the close was **below** LSMA:
* `ta.barssince(close < lsma) <= corrLookback`
* SHORT side: correction exists if within the last `corrLookback` bars the close was **above** LSMA:
* `ta.barssince(close > lsma) <= corrLookback`
4. **Continuation signals**
* **Long Continuation (LC)** triggers when:
* Price **crosses above** LSMA (`ta.crossover(close, lsma)`)
* Angle indicates **strong uptrend**
* A recent **pullback below LSMA** occurred
* Optional ATR% filter passes
* **Short Continuation (SC)** triggers symmetrically on cross below.
5. **Strong trend markers**
* When price is on the trend side of LSMA and angle is strong:
* Uptrend: `close > lsma and strongUp`
* Downtrend: `close < lsma and strongDown`
* Drawn as small, semi-transparent circles (not entry signals by themselves).
### Plots and labels
* **LSMA line** plotted in yellow.
* **LC**: green triangle below bar (trend continuation long).
* **SC**: red triangle above bar (trend continuation short).
* **Dots**: tiny circles for strong-trend state when no fresh continuation signal is present.
### Inputs (how to tune)
* **LSMA length**
* Higher = smoother, fewer signals
* Lower = more responsive, more signals/noise
* **Ticks per bar ≈ 45°**
* Calibration control for angle scaling across different instruments/timeframes
* Increase it if angles look too “aggressive”; decrease it if angles look too “flat”
* **Min angle for LONG / Max angle for SHORT**
* Tighten to filter for only steep trends; loosen to allow more setups
* **Max correction bars back**
* Larger values allow older pullbacks to qualify
* Smaller values require a more recent correction
### Optional volatility filter (ATR%)
* When enabled, the script requires:
* `ATR% = (ATR / close) * 100 >= minAtrPct`
* Useful to avoid low-volatility chop (but can filter out valid trends on slow markets).
### How to use (practical)
* Use **LC/SC** as “trend continuation after pullback” markers:
* Prefer trading in the direction of higher timeframe bias (if applicable)
* Consider entries on LC/SC with your own risk rules (stops/targets are not included)
* Use the **strong-trend dots** as a regime filter:
* If dots persist, continuation setups have higher context quality
* If dots disappear frequently, market may be ranging/choppy
### Limitations (important)
* Angle is based on **LSMA 1-bar slope**, so it is sensitive to sudden changes and can vary across markets/timeframes.
* Correction logic is binary: it only checks whether price crossed to the other side of LSMA recently (not depth/structure of pullback).
* Signals depend on **close crossing LSMA**, not intrabar wick behavior.
* Not a full trading system: no position sizing, stops, or take profits.
### Alerts
Alerts fire only on **confirmed bars** (`barstate.isconfirmed`) for:
* “LSMA25 Long continuation”
* “LSMA25 Short continuation”
Price Range AnalyzerPrice Range Analyzer - 365-Day Market Context
Get instant market perspective with key price metrics calculated from daily timeframe data, regardless of your current chart interval.
📊 KEY FEATURES:
- 365-Day High/Low with percentage distance from current price
- Range Position indicator (0-100%) with color-coded zones
- Comparison vs 365-day average price
- ATR-based volatility assessment
- Automatic adaptation for new assets (uses available data)
- Clean, professional table (top-left position)
- Optional visual lines on chart
🎯 WHAT IT SHOWS:
1. 365D High - Highest price in period + % below current
2. 365D Low - Lowest price in period + % above current
3. Range Position - Where price sits in the range:
• 🟢 Very Low (0-20%): Strong buy zone
• 🟢 Low (20-40%): Bullish territory
• 🟡 Mid (40-60%): Neutral zone
• 🟠 High (60-80%): Bearish territory
• 🔴 Very High (80-100%): Strong sell zone
4. vs 365D Average - Distance from mean (reversion signal)
5. Volatility - ATR as % of price (Low/Medium/High)
💡 USE CASES:
- Quick assessment of support/resistance zones
- Identify overbought/oversold conditions
- Mean reversion trading opportunities
- Risk assessment via volatility levels
- Works on ALL timeframes (always uses daily data)
- Perfect for new listings (auto-adjusts to available history)
⚙️ SETTINGS:
- Adjustable lookback period (30-730 days)
- Toggle high/low/average lines on chart
- White background optimized table
Clean, simple, actionable. Know exactly where you stand in the bigger picture at a glance.
DF Advanced Sector & RS AnalysisDF Advanced Sector & RS Analysis
Overview
This indicator is an all-in-one dashboard designed to give you an instant "health check" on any asset. Instead of opening multiple charts to check the market trend, sector performance, and fundamentals, this tool brings all that data into a single table on your screen.
It automatically detects if you are looking at a Stock, Crypto, or Forex pair and adjusts its benchmarks accordingly.
Key Features
1. Smart Asset Detection
Stocks: Compares performance against the S&P 500 (SPY).
Crypto: Compares performance against Bitcoin (BTC).
Forex: Compares performance against the US Dollar Index (DXY).
2. Sector Intelligence (Stocks Only)
If you are trading a stock, the indicator automatically identifies its sector (e.g., Technology, Energy, Finance) and compares the stock against that specific sector ETF.
Sector Trend: Tells you if the sector is in an Uptrend or Downtrend.
vs Sector: Shows if your stock is outperforming its own industry.
3. Relative Strength (RS) & Alpha
RS Rating (0-100): A score derived from RSI logic that measures how strong the asset is compared to the benchmark. A score above 70 is bullish.
Alpha: Shows how much the asset is beating (or lagging) the market over the last 20 days.
4. Fundamental Snapshot
Growth: Displays EPS (Earnings) and Revenue growth. You can toggle these between TTM (Trailing 12 Months) for a smoother view or Quarterly for recent performance.
Valuation: Displays the P/E Ratio (TTM). This is always calculated using Trailing Twelve Month data to provide a standard valuation metric.
5. The "Verdict" Score
The indicator combines Technicals, Fundamentals, and Sector Strength into a final 0-100 Score:
STRONG (Green): High probability setup (Score > 70).
NEUTRAL (Grey): Mixed signals (Score 50-70).
RISK (Red): Weak performance or fundamentals (Score < 50).
How to Use
Add to Chart: The table will appear in the corner of your screen.
Check the Score: Look for assets with a "STRONG" verdict.
Analyze the RS: Ensure the RS Rating is high (green) to confirm the asset is a market leader.
Check the Sector: For stocks, it is safer to buy when the "Sector Trend" is UP.
Settings
Table Position: Move the dashboard to any corner of the screen.
Text Size: Adjust the size to fit your screen resolution.
Financials Mode:
TTM: Uses 12-month data (Smoother, standard for long-term analysis).
Quarterly: Uses the most recent quarter vs. the same quarter last year (More volatile, good for earnings plays).
Note: P/E Ratio is always TTM regardless of this setting.
Disclaimer
This tool is for informational purposes only and does not constitute financial advice. Always do your own research before trading.
ATR DEEPATR Bottom Indicator:
ATR Bottom is a dynamic support level based on market volatility (ATR) and a long-term moving average. It helps identify a price zone where downside risk significantly increases.
Unlike static levels, this indicator adapts to current market volatility and adjusts as market conditions change.
How it works:
Calculated using a moving average and ATR
The level represents the difference between average price and volatility
Always plotted below price and updates dynamically
Not a standalone entry signal
Interpretation:
Price above the line — market remains stable
Price touching the line — potential reaction or slowdown zone
Close below the line — sign of scenario shift and increased bearish pressure
Important:
Does not predict exact market bottoms
Designed for scenario-based analysis
Best used in combination with other analytical tools
