Ornstein-Uhlenbeck Trend Channel [BOSWaves]Ornstein-Uhlenbeck Trend Channel - Adaptive Mean Reversion with Dynamic Equilibrium Geometry
Overview
The Ornstein-Uhlenbeck Trend Channel introduces an advanced equilibrium-mapping framework that blends statistical mean reversion with adaptive trend geometry. Traditional channels and regression bands react linearly to volatility, often failing to capture the natural rhythm of price equilibrium. This model evolves that concept through a dynamic reversion engine, where equilibrium adapts continuously to volatility, trend slope, and structural bias - forming a living channel that bends, expands, and contracts in real time.
The result is a smooth, equilibrium-driven representation of market balance - not just trend direction. Instead of static bands or abrupt slope shifts, traders see fluid, volatility-aware motion that mirrors the natural pull-and-release dynamic of market behavior. Each channel visualizes the probabilistic boundaries of fair value, showing where price tends to revert and where it accelerates away from its statistical mean.
Unlike conventional envelopes or Bollinger-type constructs, the Ornstein-Uhlenbeck framework is volatility-reactive and equilibrium-sensitive, providing traders with a contextual map of where price is likely to stabilize, extend, or exhaust.
Theoretical Foundation
The Ornstein-Uhlenbeck Trend Channel is inspired by stochastic mean-reversion processes - mathematical models used to describe systems that oscillate around a drifting equilibrium. While linear regression channels assume constant variance, financial markets operate under variable volatility and shifting equilibrium points. The OU process accounts for this by treating price as a mean-seeking motion governed by volatility and trend persistence.
At its core are three interacting components:
Equilibrium Mean (μ) : Represents the evolving balance point of price, adjusting to directional bias and volatility.
Reversion Rate (θ) : Defines how strongly price is pulled back toward equilibrium after deviation, capturing the self-correcting nature of market structure.
Volatility Coefficient (σ) : Controls how far and how quickly price can diverge from equilibrium before mean reversion pressure increases.
By embedding this stochastic model inside a volatility-adjusted framework, the system accurately scales across different markets and conditions - maintaining meaningful equilibrium geometry across crypto, forex, indices, or commodities. This design gives traders a mathematically grounded yet visually intuitive interpretation of dynamic balance in live market motion.
How It Works
The Ornstein-Uhlenbeck Trend Channel is constructed through a structured multi-stage process that merges stochastic logic with volatility mechanics:
Equilibrium Estimation Core : The indicator begins by identifying the evolving mean using adaptive smoothing influenced by trend direction and volatility. This becomes the live centerline - the statistical anchor around which price naturally oscillates.
Volatility Normalization Layer : ATR or rolling deviation is used to calculate volatility intensity. The output scales the channel width dynamically, ensuring that boundaries reflect current variance rather than static thresholds.
Directional Bias Engine : EMA slope and trend confirmation logic determine whether equilibrium should tilt upward or downward. This creates asymmetrical channel motion that bends with the prevailing trend rather than staying horizontal.
Channel Boundary Construction : Upper and lower bands are plotted at volatility-proportional distances from the mean. These envelopes form the “statistical pressure zones” that indicate where mean reversion or acceleration may occur.
Signal and Lifecycle Control : Channel breaches, mean crossovers, and slope flips mark statistically significant events - exhaustion, continuation, or rebalancing. Older equilibrium zones gradually fade, ensuring a clear, context-aware visual field.
Through these layers, the channel forms a continuously updating equilibrium corridor that adapts in real time - breathing with the market’s volatility and rhythm.
Interpretation
The Ornstein-Uhlenbeck Trend Channel reframes how traders interpret balance and momentum. Instead of viewing price as directional movement alone, it visualizes the constant tension between trending force and equilibrium pull.
Uptrend Phases : The equilibrium mean tilts upward, with price oscillating around or slightly above the midline. Upper band touches signal momentum extension; lower touches reflect healthy reversion.
Downtrend Phases : The mean slopes downward, with upper-band interactions marking resistance zones and lower bands acting as reversion boundaries.
Equilibrium Transitions : Flat mean sections indicate balance or distribution phases. Breaks from these neutral zones often precede directional expansion.
Overextension Events : When price closes beyond an outer boundary, it marks statistically significant disequilibrium - an early warning of exhaustion or volatility reset.
Visually, the OU channel translates volatility and equilibrium into structured geometry, giving traders a statistical lens on trend quality, reversion probability, and volatility stress points.
Strategy Integration
The Ornstein-Uhlenbeck Trend Channel integrates seamlessly into both mean-reversion and trend-continuation systems:
Trend Alignment : Use mean slope direction to confirm higher-timeframe bias before entering continuation setups.
Reversion Entries : Target rejections from outer bands when supported by volume or divergence, capturing snapbacks toward equilibrium.
Volatility Breakout Mapping : Monitor boundary expansions to identify transition from compression to expansion phases.
Liquidity Zone Confirmation : Combine with BOS or order-block indicators to validate structural zones against equilibrium positioning.
Momentum Filtering : Align with oscillators or volume profiles to isolate equilibrium-based pullbacks with statistical context.
Technical Implementation Details
Core Engine : Stochastic Ornstein-Uhlenbeck process for continuous mean recalibration.
Volatility Framework : ATR- and deviation-based scaling for dynamic channel expansion.
Directional Logic : EMA-slope driven bias for adaptive mean tilt.
Channel Composition : Independent upper and lower envelopes with smoothing and transparency control.
Signal Structure : Alerts for mean crossovers and boundary breaches.
Performance Profile : Lightweight, multi-timeframe compatible implementation optimized for real-time responsiveness.
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Reactive equilibrium tracking for short-term scalping and microstructure analysis.
15 - 60 min : Medium-range setups for volatility-phase transitions and intraday structure.
4H - Daily : Macro equilibrium mapping for identifying exhaustion, distribution, or reaccumulation zones.
Suggested Configuration:
Mean Length : 20 - 50
Volatility Multiplier : 1.5× - 2.5×
Reversion Sensitivity : 0.4 - 0.8
Smoothing : 2 - 5
Parameter tuning should reflect asset liquidity, volatility, and desired reversion frequency.
Performance Characteristics
High Effectiveness:
Trending environments with cyclical pullbacks and volatility oscillation.
Markets exhibiting consistent equilibrium-return behavior (indices, majors, high-cap crypto).
Reduced Effectiveness:
Low-volatility consolidations with minimal variance.
Random walk markets lacking definable equilibrium anchors.
Integration Guidelines
Confluence Framework : Pair with BOSWaves structural tools or momentum oscillators for context validation.
Directional Control : Follow mean slope alignment for directional conviction before acting on channel extremes.
Risk Calibration : Use outer band violations for controlled contrarian entries or trailing stop management.
Multi-Timeframe Synergy : Derive macro equilibrium zones on higher timeframes and refine entries on lower levels.
Disclaimer
The Ornstein-Uhlenbeck Trend Channel is a professional-grade equilibrium and volatility framework. It is not predictive or profit-assured; performance depends on parameter calibration, volatility regime, and disciplined execution. BOSWaves recommends using it as part of a comprehensive analytical stack combining structure, liquidity, and momentum context.
Trend
Ultimate Sclaping IndicatorOverview
The Confluence Signal Indicator is a precision-built scalping tool designed to identify high-probability reversal points in the market.
It combines three core technical elements:
Trend
Mean reversion
Momentum
into a single, efficient system.
By filtering out weak RSI signals and focusing only on setups that align with trend direction and recent momentum shifts, this indicator delivers cleaner and more accurate short-term trade signals.
Core Components
200-Period Moving Average (MA200, 5-Minute Timeframe)
The MA200 is always calculated from the 5-minute chart, regardless of your current timeframe. It defines the macro trend direction and ensures that all trades align with the prevailing momentum.
Session VWAP (Volume-Weighted Average Price)
The VWAP tracks the real-time average price weighted by volume for the current trading session. It acts as a dynamic mean-reversion level and helps identify key areas of institutional activity and short-term balance.
RSI (Relative Strength Index)
The indicator uses a standard 14-period RSI to detect overbought and oversold market conditions.
A “recency filter” is added to ensure signals only appear when RSI has recently transitioned from strength to weakness or vice versa, reducing false signals in trending markets.
Signal Logic
Bullish Signal (Green Arrow)
A bullish reversal signal is plotted below a candle when:
Price is above both the 5-minute MA200 and the Session VWAP.
RSI is oversold (below 30).
The last time RSI was above 50 occurred within the last 10 candles before going oversold.
This ensures that the dip is a fresh pullback within an uptrend, not a prolonged oversold condition.
Bearish Signal (Red Arrow)
A bearish reversal signal is plotted above a candle when:
Price is below both the 5-minute MA200 and the Session VWAP.
RSI is overbought (above 70).
The last time RSI was below 50 occurred within the last 10 candles before going overbought.
This ensures that the overbought reading follows a recent move from weakness, identifying potential short entries in a downtrend.
Recommended Usage
This is a scalping-focused indicator, intended for use on timeframes of 5 minutes or lower. Therefore I would highly recommend to use it on Equity futures trading, such as NQ!, ES!, GC! and so on.
It performs best when combined with additional tools such as support and resistance zones, order blocks, or liquidity levels for context.
Avoid counter-trend signals unless confirmed by price structure or volume behavior.
Axel X signalAxel X Signal — Multi-Timeframe Trend Reversal Assistant
Description
Axel X Signal is a professional multi-timeframe indicator designed to help traders identify potential market turning points.
It highlights moments when momentum shifts between bullish and bearish phases using an adaptive model that tracks both volatility and price behavior.
Signals appear directly on the chart as Buy or Sell labels, while an integrated multi-timeframe (MTF) table displays confirmation from higher timeframes, offering a broader market context in real time.
The indicator is optimized for clarity and responsiveness — reducing noise in sideways conditions while staying sensitive to genuine directional changes.
It adapts automatically to different markets and timeframes, making it suitable for intraday, swing, and long-term analysis.
How it works
Axel X Signal continuously analyzes price structure and volatility conditions to detect when the underlying momentum begins to shift.
When the market transitions from contraction to expansion (or vice versa), the algorithm identifies a potential reversal zone and prints a corresponding signal on the chart.
The logic dynamically adjusts to market conditions: it reacts faster during trending phases and becomes more selective in low-volatility ranges.
The built-in MTF table allows traders to compare current trend direction with higher-timeframe context for stronger confluence and signal validation.
How to trade with it
Add Axel X Signal to your chart and select preferred timeframes.
Watch for Buy and Sell signals appearing on the chart — these mark possible trend-reversal or continuation points.
Use the MTF table to confirm direction alignment across multiple timeframes.
When most timeframes show the same direction, signals tend to have higher reliability.
For entries, wait until a signal candle closes to confirm the shift.
Exits can be managed using opposite signals, nearby structural levels, or volume weakening zones.
Combine Axel X Signal with your existing confluence tools such as support/resistance, volume, trendlines, or oscillators.
Always test and adjust parameters (trend sensitivity, volatility tolerance, timeframes) to suit your trading style and preferred market conditions.
Axel X Signal is not a standalone buy/sell system — it is a trend confirmation and timing assistant, helping traders visualize structure and momentum transitions more clearly.
Customization options
• Adjustable trend sensitivity and volatility tolerance
• Fully customizable Buy/Sell labels (text, color, size, position)
• Flexible placement modes for signals near candles or further away
• Multi-timeframe confirmation table with selectable timeframes and opacity
• Built-in alerts for every Buy/Sell event across all chosen timeframes
Disclaimer
This indicator is created for educational and analytical purposes only.
It does not guarantee profit and should not be considered financial advice.
Market conditions may vary, and signals may occasionally appear during consolidation or false breakouts.
Always perform your own analysis, back-testing, and apply proper risk management before using any indicator in live trading.
Dynamic S/R Zones (Verified Pivots)Dynamic S/R Zones V1.2
Overview
Dynamic S/R Zones V1.2 is a Pine v6 structure visualizer that highlights nearby Support/Resistance zones from confirmed swing pivots on the current chart and an optional higher timeframe (HTF). It can also plot simple Fibonacci guide levels (33% / 50% / 66%) between the most recent swing points. All HTF requests use lookahead_off to avoid forward-looking data, and S/R anchors are derived from verified pivots to minimize repainting. Optional “touch-verified” coloring flips a level’s display once price trades through it.
This tool is an illustrative S/R map for chart review and education.
How it works
Verified Pivots (Non-Repainting):
• Minor S/R uses ta.pivothigh/ta.pivotlow with a symmetric lookback (“Pivot Strength”).
• Lines anchor only on confirmed pivots, so once drawn they remain stable.
• A de-dup buffer filters out levels that are too close together.
HTF Major Zones:
• HTF OHLC is requested via request.security(..., lookahead=barmerge.lookahead_off).
• The same pivot logic runs on the HTF series; lines appear after the HTF bar closes.
• Major lines can be shown alongside (or instead of) minor lines.
Touch-Verified Coloring (optional):
• When a level is touched (high ≥ level ≥ low), it flips from neutral to a side color:
– Support (price above) ≈ green; Resistance (price below) ≈ red.
• The verification state is persistent for that line.
Fibonacci Guides (optional):
• Draws 33% / 50% / 66% between the last opposing swing high/low.
• Verification/coloring modes:
Pivot-Based: uses the most recent swing direction.
HTF Trend-Based: uses a fast/slow EMA comparison on a user-selected HTF.
Bounce/Reject Mode: color on touch regardless of trend interpretation.
• One arrow per bar (optional) indicates a newly verified fib touch.
What it displays
• Minor S/R lines from current-TF verified pivots (non-repainting anchors).
• Major S/R lines from HTF pivots (confirmed on HTF close).
• Optional labels that state level type, price, HTF tag, and Verified/Unverified status.
• Optional Fibonacci guide lines with labels, plus single-arrow confirmations.
• Coloring that reflects touch verification and current side (support/resistance).
Why it’s original
• Focuses on confirmed structure (minor + HTF) with de-duplication for clarity.
• Offers hybrid fib verification (pivot-based, HTF-trend-based, or bounce/reject) to let users study structure from multiple perspectives without asserting signals.
• Maintains persistent verification per level and avoids lookahead on HTF for stable, review-friendly visuals.
• Provides a compact workflow for scanning: minor structure, HTF context, then fib context.
Configuration & usage notes
• Pivot Strength: Higher values = stricter confirmation (fewer lines, more stable).
• Lookback Range: Prunes older lines; increase for broader context.
• HTF for Major S/R: Daily/4H/Weekly etc.; lines confirm on that timeframe’s close.
• Min Distance Between Levels: Helps reduce clutter from nearby duplicates.
• Touch-Verified Coloring: Enable for quick support/resistance side cues.
• Fibs: Choose coloring mode (Pivot-Based, HTF Trend-Based, or Bounce/Reject).
• HTF Trend TF / EMAs: Only affect coloring when using HTF trend mode for fibs.
• Performance: Labels and line counts can be tuned down on very long histories.
Limitations & assumptions
• Pivot detection depends on chart timeframe, liquidity, and chosen pivot length.
• HTF lines update after the HTF bar closes (by design, to avoid lookahead).
• Optional Realtime pivots for fibs (if enabled) are provisional and can shift until a swing verifies.
• Coloring and arrows are descriptive—they do not imply entries, exits, or probabilities.
Legal Disclaimer
These tools visualize calculations on historical data for charting and educational use only. They are not signals, recommendations, or promises of future results. Markets involve risk, and past results do not guarantee future outcomes. Provided “as is,” without warranties. Consider consulting a qualified professional before making decisions.
MTC – Multi-Timeframe Trend ConfirmatorMTC – Multi-Timeframe Trend Confirmator
The Ultimate Multi-Timeframe Trend Analysis Tool
MTC v6 is a comprehensive trend confirmation indicator that analyzes market conditions across multiple timeframes simultaneously. It combines six powerful technical indicators to give you a clear, visual representation of trend strength and direction.
🎯 Key Features
Visual Trend Gauge
Real-time trend strength display for 3 customizable timeframes
Progressive bar visualization (fills from left to right)
Color-coded signals: 🟢 Green (Bullish) | 🔴 Red (Bearish) | 🟡 Yellow (Ranging)
Score range: -10 to +10 for precise trend measurement
Multi-Indicator Analysis
The indicator combines 6 proven technical tools:
EMA 200 – Long-term trend direction
SMA 50/200 – Golden/Death cross signals
RSI 14 – Momentum confirmation
MACD – Trend strength validation
ADX (>25) – Trend intensity measurement (2x weight)
Supertrend – Dynamic support/resistance (2x weight)
⚙️ Customization Options
Flexible Timeframes: Set any timeframes you prefer (default: 15M, 1H, 4H)
Adjustable Gauge Size: Small, Medium, or Large display
Toggle Indicators: Enable/disable any of the 6 technical indicators
Supertrend Settings: Customize factor and ATR period
Built-in Alerts: Get notified when trends confirm
📈 How to Use
Score Interpretation:
Score > +2 = Bullish trend
Score < -2 = Bearish trend
Score between -2 and +2 = Ranging/Neutral
Multi-Timeframe Confirmation:
Look for alignment across timeframes for strongest signals
Higher timeframes confirm the overall trend direction
Lower timeframes help with precise entry timing
Visual Background:
Green background = Confirmed uptrend (Higher + Mid TF aligned)
Red background = Confirmed downtrend (Higher + Mid TF aligned)
💡 Perfect For
Swing traders seeking trend confirmation
Day traders analyzing multiple timeframes
Position traders validating long-term trends
Anyone who wants clear, visual trend analysis
Trade with confidence. Trade with confirmation. Trade with MTC
-Natantia
Inyerneck UT Bot 9 EMA V.sthis script is a custom ut bot signal generator using a 9 ema filter and atr based thresholds. it shows buy/sell signals based on crossover logic and works well for volitality based set ups. created by inyerneck
Launchpad & SlingshotOverview and Originality:
This indicator combines two complementary trading concepts—Launchpad (LP) and Slingshot (SS)—into a single, cohesive tool designed to identify potential trend continuations and reversals in trending markets. Launchpads provide context on overall trend alignment via stacked moving averages, acting as a filter for higher-probability setups, while Slingshot pinpoints precise entry timing during short-term pullbacks or bounces within those trends. This synergy reduces false signals by requiring both trend confirmation (LP) and momentum shift (SS), making it more robust than using either in isolation. Unlike simple merges, this script adds original enhancements such as a "curling" filter on the shortest Launchpad MA to ensure directional momentum, separate configurable MAs for bullish/bearish Slingshot thresholds, and combined LP/SS alerts for chained patterns (e.g., LP following SS). These improvements aim to enhance usability for trend-following strategies, particularly in volatile stocks or forex pairs, by providing visual labels, alerts, and multi-timeframe support without overcomplicating the core logic.
Underlying Concepts:
Launchpad (LP): Based on the idea of moving average "stacking," where shorter-period MAs align above longer ones in uptrends (bullish stack) or below in downtrends (bearish stack). This detects when price is in a strong, aligned trend phase, similar to how Guppy Multiple Moving Averages identify trend strength through ribbon compression/expansion. The script uses up to four customizable MAs (default: 8/21/50/200 EMAs of close), calculating the highest/lowest among included ones as the key crossover level. A signal triggers when the stack forms from a non-stacked state and price crosses the extreme MA, indicating potential trend acceleration.
Slingshot (SS): Draws from Scot1and's bullish pattern, which looks for price to remain below a 4-period EMA of highs for three consecutive bars (signaling a controlled pullback), then close above it (indicating rebound momentum). This script symmetrizes it for bearish cases using a separate 4-period EMA of lows, allowing detection of breakdowns after temporary bounces in downtrends. The separation of bull/bear sources is an original adaptation to better capture market structure asymmetry—highs for resistance in uptrends, lows for support in downtrends—reducing noise compared to a single-source approach.
The components work together by allowing users to spot "LP after SS" patterns: a Slingshot pullback/rebound followed by a Launchpad stack crossover, which often signals stronger continuations. This chained logic is grounded in momentum trading principles, where short-term mean reversion (SS) aligns with longer-term trend bias (LP) for improved risk-reward entries.
How It Works: The script calculates signals on each bar as follows:
Launchpad Calculations:
Build an array of included MAs (users can exclude any via inputs).
Check for stacking: For bull LP, shorter MAs > longer ones; for bear, shorter < longer.
Require a transition from non-stacked to stacked state.
Price must cross above the highest MA (bull) or below the lowest (bear).
Original filter: The shortest MA must be "curling" up (current > previous for bull) or down (current < previous for bear) to confirm recent momentum, preventing signals in counter-trend flattenings.
Slingshot Calculations:
Use separate MAs: Bull SS uses EMA of highs (default); Bear SS uses EMA of lows.
For bull SS: Close below bull MA for the prior N bars (default 3), then close above it.
For bear SS: Close above bear MA for prior N bars, then close below it.
No additional filters like volume or momentum jumps are applied, staying true to the pattern's simplicity.
Combined and Additional Signals:
"LP after SS": Triggers if LP occurs immediately after an SS, highlighting high-conviction setups.
Stack alerts: Pure stack with price above/below extremes, for trend monitoring.
All MAs can use multi-timeframe data via the timeframe input.
Alerts are set for each condition, and labels appear on the chart (configurable visibility, size, colors). Labels combine (e.g., "Bull LP & SS") if both trigger simultaneously.
How to Use It: Add the script to your chart via TradingView's indicator menu. Default settings suit daily/intraday charts for trending assets like stocks in bull markets (e.g., tech sector during rallies).
Interpretation:
Bull SS: Look for labels during uptrends; enter long on close above the blue Bull SS MA line after a 3-bar pullback. Use as a dip-buy signal.
Bear SS: In downtrends, enter short on close below the purple Bear SS MA after a 3-bar bounce.
Bull LP: Confirms trend strength; enter long on crossover if shortest MA is rising (green label).
Bear LP: Short entry on downside crossover with falling shortest MA (red label).
Prioritize "LP after SS" for layered confirmation—e.g., SS rebound leading into LP acceleration.
Monitor stack alerts for overall bias; avoid trading against the stack.
Customization:
Launchpad Group: Adjust lengths/sources/types; exclude MAs for simpler stacks (e.g., just 50/200 for long-term).
Slingshot Group: Change length (4 default), type (EMA), sources (high/low defaults), or preceding bars (3 default).
Display: Toggle labels, set timeframe (e.g., "D" for daily MAs on hourly chart), adjust offset for label positioning.
Test on historical data: Apply to strong trenders like AAPL or BTC; backtest entries with stops below recent lows.
For best results, combine with volume confirmation or broader market context—e.g., above 200-day MA for longs. This is not financial advice; always use risk management.
Smart Moving Average Dynamics [ChartNation]Smart Moving Average Dynamics (SMAD) — by Chart Nation
What it does:
SMAD maps how far price deviates from a chosen moving average and normalizes that distance into a bounded oscillator (−100…+100). It detects extreme expansions and prints non-repainting dots when the move exits an extreme. Price-level rails are drawn from those events (with optional fade/expiry) to highlight likely reaction zones. The MA line is colored by bias. A slim gauge summarizes the current oscillator percentile; a compact info panel shows TF, Trend, Volume rank, and Volatility rank.
How it works (high-level, closed-source)
Core signal: diff = price – MA(type, length) where MA can be SMA/EMA/RMA/WMA/VWMA.
Normalization (choose one):
Highest Abs (N): scales diff by the highest absolute excursion over N bars (fast, adaptive).
Z-Score: scales by stdev(diff, N) and maps ±σ to ±100 via a user factor.
ATR-Scaled: scales by ATR * k, relating deviation to current volatility.
Percent Rank: ranks the magnitude of |diff| over N bars and reapplies the original sign.
All methods clamp to −100…+100 to keep visuals consistent across assets/TFs.
Extremes & confirmation: Dots print only when an extreme exits ±100 (optionally on bar close) and can be filtered by linger bars and short-term slope flip, reducing one-bar spikes.
Rails: When an extreme confirms, a rail is anchored at the corresponding price swing and can soft-fade and/or expire after X bars.
Trend color: MA color = Up (green) when oscillator > threshold and MA slope > 0; Down (magenta) for the opposite; Neutral otherwise.
Context panels:
Slim Gauge: current oscillator bucket (0–20) with the exact normalized reading.
Info Panel: TF, Trend, and 0–100 percent-ranks of Volume and ATR-based volatility grouped as Low / Medium / High.
SMAD isn’t a collection of plots; it’s a single framework that integrates:
a deviation-from-MA engine,
four interchangeable normalization models (selected per market regime),
a gated extreme detector (linger + slope + confirm-on-close), and
time-aware rails with soft fade/expiry, presented with a minimal gauge and info panel so traders can compare regimes across TFs without recalibrating thresholds.
How to use (examples, not signals)
Mean-revert plays: When price exits an extreme and prints a dot, look for reactions near the new rail. Combine with your S/R and risk model.
Trend continuation: In strong trends the oscillator will spend more time above/below zero; the colored MA helps keep you aligned and avoid fading every push.
Regime switching: Try Percent Rank or ATR-Scaled on choppy/alts; Z-Score on majors; Highest Abs (N) when you want fastest adaptation.
Risk ideas: Rails can be used as partial-take or invalidate levels. Always backtest on your pair/TF.
Key settings
Normalization: Highest Abs / Z-Score / ATR-Scaled / Percent Rank (with N & factors).
Filters: Extreme threshold, linger bars, slope lookback, confirm on close.
Rails: Expire after X bars; soft-fade step.
Panels: Slim gauge (bottom-right), Info panel (middle-right).
Notes & limits
Prints confirm after the extreme exits ±100; nothing repaints retroactively.
Normalization can change sensitivity—choose the one matching your asset’s regime.
Dynamic Fractal Flow [Alpha Extract]An advanced momentum oscillator that combines fractal market structure analysis with adaptive volatility weighting and multi-derivative calculus to identify high-probability trend reversals and continuation patterns. Utilizing sophisticated noise filtering through choppiness indexing and efficiency ratio analysis, this indicator delivers entries that adapt to changing market regimes while reducing false signals during consolidation via multi-layer confirmation centered on acceleration analysis, statistical band context, and dynamic omega weighting—without any divergence detection.
🔶 Fractal-Based Market Structure Detection
Employs Williams Fractal methodology to identify pivotal market highs and lows, calculating normalized price position within the established fractal range to generate oscillator signals based on structural positioning. The system tracks fractal points dynamically and computes relative positioning with ATR fallback protection, ensuring continuous signal generation even during extended trending periods without fractal formation.
🔶 Dynamic Omega Weighting System
Implements an adaptive weighting algorithm that adjusts signal emphasis based on real-time volatility conditions and volume strength, calculating dynamic omega coefficients ranging from 0.3 to 0.9. The system applies heavier weighting to recent price action during high-conviction moves while reducing sensitivity during low-volume environments, mitigating lag inherent in fixed-period calculations through volatility normalization and volume-strength integration.
🔶 Cascading Robustness Filtering
Features up to five stages of progressive EMA smoothing with user-adjustable robustness steps, each layer systematically filtering microstructure noise while preserving essential trend information. Smoothing periods scale with the chosen fractal length and robustness steps using a fixed smoothing multiplier for consistent, predictable behavior.
🔶 Adaptive Noise Suppression Engine
Integrates dual-component noise filtering combining Choppiness Index calculation with Kaufman’s Efficiency Ratio to detect ranging versus trending market conditions. The system applies dynamic damping that maintains full signal strength during trending environments while suppressing signals during choppy consolidation, aligning output with the prevailing regime.
🔶 Acceleration and Jerk Analysis Framework
Calculates second-derivative acceleration and third-derivative jerk to identify explosive momentum shifts before they fully materialize on traditional indicators. Detects bullish acceleration when both acceleration and jerk turn positive in negative oscillator territory, and bearish acceleration when both turn negative in positive territory, providing early entry signals for high-velocity trend initiation phases.
🔶 Multi-Layer Signal Generation Architecture
Combines three primary signal types with hierarchical validation: acceleration signals, band crossover entries, and threshold momentum signals. Each signal category includes momentum confirmation, trend-state validation, and statistical band context; signals are further conditioned by band squeeze detection to avoid low-probability entries during compression phases. Divergence is intentionally excluded for a purely structure- and momentum-driven approach.
🔶 Dynamic Statistical Band System
Utilizes Bollinger-style standard deviation bands with configurable multiplier and length to create adaptive threshold zones that expand during volatile periods and contract during consolidation. Includes band squeeze detection to identify compression phases that typically precede expansion, with signal suppression during squeezes to prevent premature entries.
🔶 Gradient Color Visualization System
Features color gradient mapping that dynamically adjusts line intensity based on signal strength, transitioning from neutral gray to progressively intense bullish or bearish colors as conviction increases. Includes gradient fills between the signal line and zero with transparency scaling based on oscillator intensity for immediate visual confirmation of trend strength and directional bias.
All analysis provided by Alpha Extract is for educational and informational purposes only. The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations.
Multi Pivot Trend [BigBeluga]🔵 OVERVIEW
The Multi Pivot Trend is an advanced market-structure-driven trend engine that evaluates trend strength by scanning multiple pivot breakouts simultaneously.
Instead of relying on a single swing length, it tracks breakouts across ten increasing pivot lengths — then averages their behavior to produce a smooth, reliable trend reading.
Mitigation logic (close, wick, or HL2 touches) controls how breakouts are confirmed, giving traders institutional-style flexibility similar to BOS/CHoCH validation rules.
This indicator not only colors candles based on trend strength, but also extends trend strength and volatility-scaled projection candles to show where trend pressure may expand next.
Pivot breakout lines and labels mark key changes, making the trend transitions extremely clear.
🔵 CONCEPTS
Market trend strength is reflected by multiple pivot breakouts, not just one.
The indicator analyzes ten pivot structures from smaller to larger swings.
Each bullish or bearish pivot breakout contributes to trend score.
Mitigation options (close / wick / HL2) imitate smart-money breakout confirmation logic.
Trend score is averaged and translated into colors and extension bars.
Neutral regime ≈ weak trend or transition zone (trend compression).
🔵 FEATURES
Multi-Pivot Engine — tracks 10 pivot-based trend signals simultaneously.
Mitigation Modes :
• Close — breakout requires candle close beyond pivot
• Wicks — breakout requires wick violation
• HL2 — breakout confirmed when average (H+L)/2 crosses level
Dynamic Color System :
• Blue → confirmed bullish rotation
• Red → confirmed bearish rotation
• Orange → neutral / transition state
Breakout Visualization — draws pivot breakout lines in real-time.
Trend Labels — prints trend %.
Trend Volatility-Scaled Extension Candles — ATR/trend strength based candle projections show momentum continuation strength.
Gradient Pivot Encoding — higher pivot lengths = deeper structure considered.
🔵 HOW TO USE
Use strong blue/red periods to follow dominant structural trend.
Watch for color transition into orange — possible trend change or consolidation.
Pivot breakout lines help validate structure shifts without clutter.
Wick mitigation catches aggressive liquidity-sweep based breaks.
Close/HL2 mitigation catches cleaner market structure rotations.
Extension bars visualize trend pressure — large extensions = strong push.
Best paired with volume or volatility confirmation tools.
🔵 CONCLUSION
The Multi Pivot Trend is a structural trend recognition system that blends multiple pivot breakouts into one clean trend score — with institutional-style mitigation logic and volatility-projected trend extensions.
It gives traders a powerful, visually intuitive way to track momentum, spot trend rotations early, and understand true structural flow beyond simple MA-based approaches.
Use it to stay aligned with the dominant swing direction while avoiding noise and false flips.
Session Streaks [LuxAlgo]The Session Streaks tool allows traders to identify whether a session is bullish or bearish on the chart. It also shows the current session streak, or the number of consecutive bullish or bearish sessions.
The tool features a dashboard with information about the session streaks of the underlying product on the chart.
🔶 USAGE
Analyzing session streaks is commonly used for market timing by studying the number of consecutive sessions over time and how long they last before the market changes direction.
We identify a bullish session as one in which the closing price is equal to or greater than the opening price, and a bearish session as one in which the closing price is below the opening price.
Each session is labeled according to its bias (bullish or bearish) and the number of consecutive sessions of the same type that conform the current streak.
🔹 Dashboard
The dashboard at the top shows information about the current session.
Under the "Streaks" header, historical information about session streaks is displayed, divided into bullish and bearish categories.
Number: Total number of streaks.
Median: The average duration of those streaks. We chose the median over the mean to avoid misrepresentation due to outliers.
Mode: The most common streak duration.
As the image shows, for this particular market, there are more bullish streaks than bearish ones. Bullish streaks have an average duration that is longer than that of bearish streaks, and both have the same most common streak duration.
If the current session is bullish and the median streak duration for bullish sessions is three, then we could consider scenarios in which the next two sessions are bullish.
🔶 DETAILS
🔹 Streaks On Larger Timeframes
On timeframes lower than or equal to Daily, the tool identifies each consecutive session, but this behavior changes on larger timeframes.
On timeframes larger than daily, the tool identifies the last session of each bar. Let's use the chart in the image as a reference.
At the top of the image, there is a daily chart where each session corresponds to each candle. One candle equals one day.
In the middle, we have a weekly chart where each session is the last session of each week, which is usually Friday for the Nasdaq 100 futures contract. The levels and labels displayed correspond to the last session within each candle, which is the last day of each week.
The levels and labels on the monthly chart correspond to the last session of each month, which is the last day of each month.
🔹 Gradient Style
Traders can choose between two different color gradients for the session background. Each gradient provides different information about price behavior within each session.
Horizontal: Green indicates prices at the top of the session range and red indicates prices at the bottom.
Vertical: Green indicates prices that are equal to or greater than the open price and red indicates prices that are below the open price of the session.
🔶 SETTINGS
🔹 Dashboard
Dashboard: Enable or disable the dashboard.
Position: Select the location of the dashboard.
Size: Select the dashboard size.
🔹 Style
Bullish: Select a color for bullish sessions.
Bearish: Select a color for bearish sessions.
Transparency: Select a transparency level from 100 to 0.
Gradient: Select a horizontal or vertical gradient.
Trend Duration Forecast [ChartPrime]⯁ OVERVIEW
The Trend Duration Forecast indicator is designed to estimate the probable lifespan of a bullish or bearish trend. Using a Hull Moving Average (HMA) to detect directional shifts, it tracks the duration of each historical trend and calculates an average to forecast how long the current trend is statistically likely to continue. This allows traders to visualize both real-time trend strength and potential exhaustion zones with exceptional clarity.
⯁ KEY FEATURES
Dynamic Trend Detection: Utilizes the Hull Moving Average to identify when price transitions into a new uptrend or downtrend.
Trend Duration Counting: Measures the number of bars in each completed bullish and bearish phase to understand trend persistence.
Forecast Projection: Automatically projects an estimated trend continuation line based on the average length of recent trends.
Real-Time Updates: Continuously updates the “Real Length” label as the trend develops.
Historical Data Table: Displays previous trend durations for both bullish and bearish cycles, along with their averages.
Adaptive Sampling: Uses a customizable sample size to smooth out volatility in the forecast and provide statistically meaningful projections.
Color-Based Clarity: Highlights uptrends in green and downtrends in orange for instant visual interpretation.
⯁ USAGE
Use the Trend Detection Sensitivity setting to control how fast or slow the indicator reacts to trend changes — lower values increase responsiveness, while higher values smooth out noise.
Compare the Real Length of the ongoing trend with the Probable Length forecast to estimate whether the move is nearing exhaustion.
Observe the historical duration table to understand the average lifespan of trends in the current market structure.
Use the color-coded HMA line and projection arrows to identify when momentum strength is fading and prepare for possible reversals.
Ideal for swing or trend-following strategies where trend longevity is crucial to managing entries and exits effectively.
⯁ CONCLUSION
The Trend Duration Forecast gives traders a quantitative edge by combining real-time trend tracking with statistical forecasting. It helps identify not only when a new trend begins, but also how long it’s likely to persist based on past market behavior. This indicator enhances timing precision for both entries and exits, supporting smarter trend-following decisions with clear, data-driven insights.
CCI [Hash Adaptive]Adaptive CCI Pro: Professional Technical Analysis Indicator
The Commodity Channel Index is a momentum oscillator developed by Donald Lambert in 1980. CCI measures the relationship between an asset's price and its statistical average, identifying cyclical turns and overbought/oversold conditions. The indicator oscillates around zero, with values above +100 indicating overbought conditions and values below -100 suggesting oversold conditions.
Standard CCI Formula: (Typical Price - Moving Average) / (0.015 × Mean Deviation)
This indicator transforms the traditional CCI into a sophisticated visual analysis tool through several key enhancements:
Implements dual exponential moving average smoothing to eliminate market noise
Preserves signal integrity while reducing false signals
Adaptive smoothing responds to market volatility conditions
Dynamic Color Visualization System
Continuous gradient transitions from red (bearish momentum) to green (bullish momentum)
Real-time color intensity reflects momentum strength
Eliminates discrete color jumps for fluid visual interpretation
Adaptive Intelligence Features
Dynamic overbought/oversold thresholds adapt to market conditions
Reduces false signals during high volatility periods
Maintains sensitivity during low volatility environments
Momentum Vector Analysis
Incorporates velocity calculations for early trend identification
Crossover detection with momentum confirmation
Advanced signal filtering reduces market noise
Extreme Level Analysis
Values above +100: Strong overbought conditions, potential reversal zones
Values below -100: Strong oversold conditions, potential buying opportunities
Zero-line crossovers: Momentum shift confirmation
Optimization Parameters
CCI Period (Default: 14)
Shorter periods (10-12): Increased sensitivity, more signals
Standard periods (14-20): Balanced responsiveness and reliability
Longer periods (21-30): Reduced noise, stronger signal confirmation
Smoothing Factor (Default: 5)
Lower values (1-3): Maximum responsiveness, suitable for scalping
Medium values (4-6): Balanced approach for swing trading
Higher values (7-10): Institutional-grade smoothness for position trading
Signal Sensitivity (Default: 6)
Conservative (7-10): High-probability signals, reduced frequency
Balanced (5-6): Optimal risk-reward ratio
Aggressive (1-4): Maximum signal generation, requires additional confirmation
Strategic Implementation
Oversold reversals in red zones with momentum confirmation
Zero-line breaks with sustained color transitions
Extreme readings followed by momentum divergence
Risk Management
Use extreme levels (+100/-100) for position sizing decisions
Monitor color intensity for momentum strength assessment
Combine with price action analysis for comprehensive market view
Market Context Application
Trending markets: Focus on momentum direction and extreme readings
Range-bound markets: Utilize overbought/oversold levels for mean reversion
Volatile markets: Increase smoothing parameters and signal sensitivity
Professional Advantages
Instantaneous momentum assessment through color visualization
Reduced cognitive load compared to traditional oscillators
Professional presentation suitable for client reporting
Adaptive Technology
Self-adjusting parameters reduce manual optimization requirements
Consistent performance across varying market conditions
Advanced mathematics eliminate common CCI limitations
The Adaptive CCI Pro represents the evolution of momentum analysis, combining Lambert's foundational CCI concept with modern computational techniques to deliver institutional-grade market intelligence through an intuitive visual interface.
Range Opening (ADX)▶ OVERVIEW
Range Opening (ADX) dynamically detects market opening ranges triggered by ADX (Average Directional Index) momentum shifts. Upon a user-defined ADX crossover or crossunder event, it builds a volume-based range box that tracks high and low prices over a fixed bar length and visualizes order flow pressure with delta volume and breakout buffer zones.
▶ RANGE TRIGGER VIA ADX CROSSOVER
The range begins when ADX crosses a custom threshold, indicating a shift in trend strength:
Users choose between ADX crossover or crossunder as the trigger.
Once triggered, the indicator starts collecting price and volume data for the specified “Range Opening Length.”
The ADX plot on the subchart is colored dynamically using a green-to-magenta gradient based on its strength.
A small label marks the ADX crossover/crossunder event visually.
▶ RANGE DEVELOPMENT BOX
While the range is forming:
Price highs and lows over the defined period are collected and stored.
A temporary gray box is drawn between the maximum high and minimum low, showing the developing range.
At each bar, delta volume is updated:
Positive if close > open
Negative if close < open
A total delta volume value is shown inside the developing box for real-time monitoring.
▶ RANGE COMPLETION & BREAKOUT LINES
Once the range completes (after the defined bar count):
The gray box is replaced with a finalized, color-coded range box.
Color Logic:
Green box if delta volume is positive (bullish bias)
Magenta box if delta is negative (bearish bias)
Two solid horizontal lines are drawn:
Top line from the range high
Bottom line from the range low
Two dashed lines are added above and below the range using ATR-based buffers, acting as buffer zones.
These lines extend until a new ADX trigger occurs, helping track future price interaction with the range.
▶ INFO PANEL & STATUS MONITORING
A compact data table appears in the top-right corner, offering quick insight:
ADX: Current value, color-coded to strength.
Threshold: User-defined trigger level.
Range Status:
Shows a green diamond when range is still forming.
Shows a magenta diamond after the range has completed.
Tooltip updates to “Developing” or “Formatted” based on stage.
▶ USAGE
Traders can use Range Opening (ADX) to:
Identify periods of strength expansion and price consolidation using ADX signals.
Track breakout potential and liquidity zones formed during opening-type setups.
Monitor delta volume to gauge buying/selling bias inside short-term ranges.
Use ATR buffer zones for breakout confirmation or fade setups.
Visually mark where the most recent structured range was defined.
▶ CONCLUSION
Range Opening (ADX) offers a systematic method to detect and monitor market ranges triggered by volatility surges. With real-time delta volume insight, persistent breakout levels, and ADX-driven logic, it serves as a versatile tool for both breakout traders and range strategists looking to capitalize on momentum-based setups.
Trend Pivot Retracements▶ OVERVIEW
Trend Pivot Retracements identifies market trend direction using a Donchian-style channel and dynamically highlights retracement zones during trending conditions. It calculates the percentage pullbacks from recent highs and lows, plots labeled zones with varying intensity, and visually connects key retracement pivots. The indicator also emphasizes price proximity to trend boundaries by dynamically adjusting the thickness of plotted trend bands.
▶ TREND DETECTION & BAND STRUCTURE
The indicator determines the current trend by checking for new 50-bar extremes:
Uptrend: If a new highest high is made, the trend is considered bullish.
Downtrend: If a new lowest low is made, the trend is considered bearish.
Uptrend Band: Plots the 50-bar lowest low as a trailing support level.
Downtrend Band: Plots the 50-bar highest high as a trailing resistance level.
Thickness Variation: The thickness of the band increases the further price moves from it, indicating overextension.
▶ RETRACEMENT LABELING SYSTEM
During a trend, the indicator monitors pivot points in the opposite direction to measure retracements:
Bullish Retracement:
Triggered when a pivot low forms during an uptrend.
Measures % pullback from the most recent swing high (searched up to 20 bars back).
Plots a bold horizontal line at the low and a dashed diagonal from the previous swing high.
Adds a “-%” label above the low; intensity is based on recent 50 pullbacks.
Bearish Retracement:
Triggered when a pivot high forms during a downtrend.
Measures % pullback from the previous swing low (up to 20 bars back).
Plots a bold horizontal line at the high and a dashed diagonal from the prior swing low.
Adds a “%” label below the high with gradient color based on the past 50 extremes.
▶ PIVOT CONNECTION LINES
Each retracement includes a visual connector:
A diagonal dashed line linking the swing extreme (20 bars back) to the retracement point.
This line visually traces the path of price retreat within the trend.
Helps traders understand where the retracement originated and how steep it was.
▶ TREND SWITCH SIGNALS
When trend direction changes:
A diamond marker is plotted on the new pivot confirming the trend shift.
Green diamonds signal new bullish trends at fresh lows.
Magenta diamonds signal new bearish trends at fresh highs.
▶ COLOR INTENSITY & CONTEXTUAL AWARENESS
To help interpret the magnitude of retracements:
The % labels are color-coded using a gradient scale that references the max of the last 50 pullbacks.
Stronger pullbacks result in deeper color intensity, signaling more significant corrections.
Trend bands also use standard deviation normalization to adjust line thickness based on how far price has moved from the band.
This creates a visual cue for potential exhaustion or volatility extremes.
▶ USAGE
Trend Pivot Retracements is a powerful tool for traders who want to:
Identify trend direction and contextual pullbacks within those trends.
Spot key retracement points that may serve as entry opportunities or reversal signals.
Use visual retracement angles to understand market pressure and trend maturity.
Read dynamic band thickness as an alert for price stretch, potential mean reversion, or breakout setups.
▶ CONCLUSION
Trend Pivot Retracements gives traders a clean, visually expressive way to monitor trending markets, while capturing and labeling meaningful retracements. With adaptive color intensity, diagonal connectors, and smart trend switching, it enhances situational awareness and provides immediate clarity on trend health and pullback strength.
MILLION MEN - MatrixWhat it is
MILLION MEN – Matrix is a confluence tool that blends a multi-horizon directional heatmap (10→120 windows, LinReg/Slope) with a refined VZO-style volume oscillator to highlight accumulation vs. overbought regimes and print concise BUY/SELL labels only when both sides align. It’s designed for visual clarity and discretionary workflows—not a black-box signal engine.
How it works (high level)
Directional heatmap: 12 windows (10..120). Counts positive vs. negative slopes.
Accumulation zone: negCnt ≥ threshold (default 12-level threshold).
Overbought zone: posCnt ≥ threshold.
Optional bar coloring with transparency.
VZO-style engine: volume direction via price delta, linear-regression normalization, optional smoothing/noise filter, and explicit repaint toggle for intrabar responsiveness.
Confluence signals:
BUY when heatmap = accumulation and VZO makes a bullish triangle (crossover from below a lower band).
SELL when heatmap = overbought and VZO makes a bearish triangle (crossunder from above an upper band).
Quality-of-life: a cyan CONFOR dot marks “green→neutral + bullish body” near recent BUY; a compact profit panel tracks entry, live/max %, TP1/TP2/TP3 stamps, and a special Exit 100% event.
How to use
Treat signals as contextual prompts. Accumulation+VZO upturn hints at potential mean-reversion/expansion; Overbought+VZO downturn warns of exhaustion. Calibrate: heatmap threshold, VZO length/bands, smoothing/noise, and the repaint setting (on = faster intrabar feedback; off = close-confirmed).
Originality & value
Instead of a simple mashup, Matrix enforces dual confirmation: breadth across 12 directional windows plus a normalized volume-pressure oscillator. The result is a stable, readable regime map with minimal labels and a built-in progress panel—useful as a primary bias filter or an add-on to your setups.
Tested markets
Primarily tested on Gold (XAUUSD) and major crypto assets (BTC, XRP, ETH, BNB, LTC).
Behavior on other symbols may vary—validate before use.
Designed for analysis on the Daily timeframe (1D). Non-standard chart types are not supported for
Limitations & transparency
Strong trends can keep regimes extended; add structure/HTF/volume confirmation.
Repaint option can change intrabar labels; use close-confirmed mode if you prefer stability.
Non-standard bar types aren’t supported for signal logic.
No future data is used. This is not financial advice.
Arabic summary (optional)
أداة “Matrix” تجمع خريطة اتجاه متعددة الآفاق (10→120) مع مذبذب حجمي محسّن بأسلوب VZO لإبراز مناطق تجميع مقابل تشبّع/ارتفاع مبالغ، وتطبع BUY/SELL فقط عند توافق الشرطين. مُجرّبة أساسًا على الذهب (XAUUSD) والعملات الرئيسية (BTC, XRP, ETH, BNB, LTC). يُنصح بالتحقق في الأسواق الأخرى وباستخدام وضع الإغلاق لمنع أي تغيّر لحظي (repaint)
: مُصمّم للتحليل على الإطار اليومي (1D). أنواع الشموع غير القياسية غير مدعومة للإشارات.
Strong PivotsThis finds pivots based on your inputs (number of candles back and forward that are above or below the range of the potential pivot points) and then optionally changes the color to help you visually identify the pivot. You can also specify pivots as strong pivots if they reverse in 1 time segment beyond a certain percentage (wick % of full candle range).
For example, if the pivot is at a high point but has a green body candle and a wick > 35% of the candle, it will change the body color to red to help visually understand that the candle can be considered a strong part of the downtrend, regardless of it closing green. This will help your mind interpret the top pivot candle as part of the potential trend reversal for the following candles and could even be used as part of your strategy ruleset.
Golden Ratio Trend Persistence PRO [EWT]Golden Ratio Trend Persistence PRO indicator provides a dynamic, self-adjusting Fibonacci retracement level based on the Golden Ratio (0.618), specifically designed to identify and track the persistence of major market trends. It is built on a core philosophy that a genuine trend will respect a key retracement level relative to its anchor point.
This is PRO version of the free GRTP Indicator
What's Extra in this PRO Version 🚀
This updated version introduces crucial tools for advanced analysis and execution:
Multi-Timeframe (MTF) Trend Table: A customizable table is displayed on the chart to provide an immediate summary of the indicator's trend direction across five key timeframes (1D, 4H, 1H, 15m, 5m), giving you instant insight into cross-market directional confluence.
Visual Range Plotting: The indicator now plots the Anchor Price (the initial pivot that established the trend) and the Extremity Price (the highest high or lowest low achieved since the trend began), visually defining the exact price range used for the Fibonacci calculation.
Trend Reversal Alerts: Dedicated alerts are included to notify you the moment the closing price crosses the dynamic Fibonacci level, signaling a potential trend reversal (Bullish → Bearish, or Bearish → Bullish).
Flexible Price Source: You can now choose whether the trend's extremity should be tracked using the High/Low (more sensitive) or the Close price (smoother).
How the Indicator Works
The Golden Ratio Trend Persistence (GRTP) indicator uses a non-repainting logic to define the trend:
Trend Establishment : The indicator uses the first confirmed Pivot High or Pivot Low (based on user-defined lookback periods) to establish a major trend direction:
First Pivot High → Downtrend
First Pivot Low → Uptrend
Re-Anchoring : Trend's starting 'Anchor Price' will move to new, stronger pivots (higher lows in an uptrend, lower highs in a downtrend). This makes the level more dynamic.
Dynamic Level Calculation : The indicator continuously tracks the Extremity Price (the new High in an uptrend, or new Low in a downtrend). The Dynamic Level is calculated using the Golden Ratio retracement (61.8%) by default, but can be configured to use other setting:
Uptrend: Support Level=Extremity Price−0.618×(Extremity Price−Anchor Price)
Downtrend: Resistance Level=Extremity Price+0.618×(Anchor Price−Extremity Price)
Trend Reversal : The trend state officially flips when the closing price crosses the Dynamic Level. This strict rule serves as an objective measure of trend invalidation and triggers the corresponding alert.
Trend Following Pro [Wukong Algo]Trend Following Pro
This is a trading method in pullback areas following the trendline. The trendband is designed to include Entry band (green band) and Stop Loss band (red band). Stop Loss will trail along the trendline.
Automatically connect TradingView and MetaTrader 5 (MT5) for automatic trading and order management via PineConnector
The system includes a risk management grid including the levels: Stop Loss (SL), Break-even (BE), Trailing Stop, TP1 (1/4), TP2 (2/4), TP3 (3/4), TP4 (4/4). This grid helps you easily monitor and manage orders on TradingView in parallel with automatic order management on MT5.
Suitable for all markets: Forex, Gold, Crypto, Stocks, as long as you use MT5 and TradingView
If you do not need to trade automatically via MT5, the Support and Resistance Pro can also be used as an effective indicator in visual order management on TradingView charts, helps maintain discipline and good trading psychology (less Stress or FOMO)
Trend Following Pro system quick guide:
Step 1: Click two point A & B in the support and resistance zone (supply and demand) to draw a horizontal line
Click to select two points A and B to draw the trendband. Entry will occur if the price touches the green band and StopLoss will be activated if after Entry the price touches the outter red line. You can completely adjust the width of the green and red bands with the input parameters.
Select the direction you want to trade, for example in the picture we are choosing the Buy (Long) order
Step 2: Enter the input parameters for the system including:
Direction of Long (Buy), Short (Sell), Turn Off (No trade) orders
Width of Entry price trigger (green band) , and width of Stoploss (red band)
Order volume, TP1, TP2, TP3, TP4 levels
Maximum number of trades on a trendline
Step 3: Set up automatic trading from TradingView via PineConnector EA and MT5
If you do not need automatic trading in MT5, skip this step. Entry signals and risk management grids will still be displayed on the TradingView chart for you to see, but there is no connection and automatic trading signal shooting and automatic order management from TradingView to MT5 via PineConnector.
We need to create an Alert in TradingView and attach it to this Indicator so that the Alert's trading signals are transmitted via MetaTrader 5 (MT5) via PineConnector.
When trading, you need to turn on 3 software at the same time to be able to connect to each other to operate: TradingView, MetaTrader 5 (MT5), PineConnector
See more details in the screenshots
Step 4 - Complete setup, and wait for trading signals
You have completed the setup steps for the Indicator, ready when there is a trading signal
You do not need to sit in front of the screen all day if you do not want. The system has been set up to execute and manage orders automatically.
Of course, sometimes you should still check your transaction status, in case of unexpected problems such as lost internet connection.
If you still have questions about this Indicator, please email tuanwukongvn@gmail.com for support.
Crypto Index Price# Crypto Index Price - Indicator Description
## 📊 What is this indicator?
**Crypto Index Price** is an indicator for creating your own cryptocurrency index based on an equal-weighted portfolio. It allows you to track the overall dynamics of the cryptocurrency market through a composite index of selected assets.
## 🎯 Key Features
- **Up to 20 assets in the index** — create an index from any trading pairs
- **Equal-weighted methodology** — each asset has the same weight in the index
- **Moving average** — optional trend filter for the index
- **Flexible visualization settings** — customizable colors and line thickness
## 📈 How to Use
The indicator is displayed in a separate pane below the chart and shows:
1. **Blue line** — crypto index value
2. **Orange line** (optional) — moving average of the index
### Trading Applications:
- **Identify overall market trend** — if the index is rising, most coins are in an uptrend
- **Divergences** — divergence between your asset and the index may signal local opportunities
- **Signal confirmation** — use the index to confirm trading decisions on individual coins
- **Market condition filter** — trade longs when index is above MA, shorts when below
## ⚙️ Settings
### Assets (Symbols)
- **Asset 1-10** — main cryptocurrencies (default: BTC, ETH, BNB, SOL, XRP, ADA, AVAX, LINK, DOGE, TRX)
- **Asset 11-20** — additional slots for index expansion
### Visual Parameters
- **Index line color** — main line color (default: blue)
- **Line width** — from 1 to 5 pixels
- **Show moving average** — enable/disable MA
- **MA period** — moving average calculation period (default: 20)
- **MA color** — moving average line color (default: orange)
## 💡 Recommendations
- For a top coins index, use 5-10 largest cryptocurrencies by market cap
- For an altcoin index, add medium and small coins from your sector
- Use MA to filter false signals and identify the global trend
- Compare individual asset behavior with the index to find anomalies
## ⚠️ Important
The indicator uses equal-weighted methodology — each coin contributes equally regardless of price or market cap. This differs from cap-weighted indices and may provide a different market perspective.
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*This indicator is intended for analysis and is not trading advice. Always conduct your own analysis before making trading decisions.*
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Support and Resistance ProSupport and Resistance Pro
A method that specializes in trading at support and resistance zones, supply and demand, or POC zones of Volume Profile. This is a versatile indicator and foundation for you.
Automatically connect TradingView and MetaTrader 5 (MT5) for automatic trading and order management via PineConnector
The system includes a risk management grid including the levels: Stop Loss (SL), Break-even (BE), Trailing Stop, TP1 (1/4), TP2 (2/4), TP3 (3/4), TP4 (4/4). This grid helps you easily monitor and manage orders on TradingView in parallel with automatic order management on MT5.
Suitable for all markets: Forex, Gold, Crypto, Stocks, as long as you use MT5 and TradingView
If you do not need to trade automatically via MT5, the Support and Resistance Pro can also be used as an effective indicator in visual order management on TradingView charts, helps maintain discipline and good trading psychology (less Stress or FOMO)
Support and Resistance Pro system quick guide:
Step 1: Click a point in the support and resistance zone (supply and demand) to draw a horizontal line
When a new resistance/supply or support/demand zone appears (fresh), we draw a reaction band, including the order execution price (yellow and blue lines), and the stop loss price (red line). You can completely adjust the width of the blue and red bands with the input parameters.
Select the direction you want to trade, for example in the picture we are choosing the Sell (Short) order
Step 2: Enter the input parameters for the system including:
Direction of Long (Buy), Short (Sell), Turn Off (No trade) orders
Width of Entry price (trigger), and width of Stoploss (SL) range
Order volume, TP1, TP2, TP3, TP4 levels
Maximum number of transactions on a support and resistance zone (supply and demand)
Step 3: Set up automatic trading from TradingView via PineConnector EA and MT5
If you do not need automatic trading in MT5, skip this step. Entry signals and risk management grids will still be displayed on the TradingView chart for you to see, but there is no connection and automatic trading signal shooting and automatic order management from TradingView to MT5 via PineConnector.
We need to create an Alert in TradingView and attach it to this Indicator so that the Alert's trading signals are transmitted via MetaTrader 5 (MT5) via PineConnector.
When trading, you need to turn on 3 software at the same time to be able to connect to each other to operate: TradingView, MetaTrader 5 (MT5), PineConnector
See more details in the screenshots
Step 4 - Complete setup, and wait for trading signals
You have completed the setup steps for the Indicator, ready when there is a trading signal
You do not need to sit in front of the screen all day if you do not want. The system has been set up to execute and manage orders automatically.
Of course, sometimes you should still check your transaction status, in case of unexpected problems such as lost internet connection.
If you still have questions about this Indicator, please email tuanwukongvn@gmail.com for support.
Axel Smart TrendAxel Smart Trend is a dynamic system for identifying and tracking market trends.
It combines ATR-based volatility analysis, EMA smoothing, and Fibonacci-anchored zones to show current trend direction and potential reversal areas.
Axel Smart Trend is a dynamic system for identifying and tracking market trends.
It combines ATR-based volatility analysis, EMA smoothing, and Fibonacci-anchored zones to display current trend direction and key reaction areas.
The indicator adapts to changing market volatility, automatically switching between bullish and bearish phases.
Colored clouds visualize the active trend and act as dynamic support and resistance zones during trend continuation.
Cross markers on the chart highlight moments when the price approaches important cloud levels. These crosses are not buy or sell signals, but rather a visual indication that the market has entered a zone of increased interest.
Main parameters:
The ATR period and multiplier define the sensitivity to volatility.
The EMA length controls the depth of trend smoothing.
Signal strength and cooldown settings adjust the precision and frequency of the markers.
Practical use:
Green crosses tend to appear near potential support areas, while red crosses form near resistance or overbought zones.
The clouds help assess trend strength and possible pullback levels.
Best suited for daily and weekly charts.
Disclaimer:
This indicator is intended for analytical and educational purposes only.
It does not provide financial advice or trading recommendations, and past performance does not guarantee future results.
Axel ATR FlowAxel ATR Flow is a dynamic, volatility-adaptive channel designed to visualize the natural rhythm of market movement.
The indicator builds its structure around the Average True Range (ATR) and a smooth central line — called the Flow — which acts as a flexible base.
As volatility increases, the channel expands; when the market calms down, it contracts.
This creates an adaptive envelope that helps traders see where price is likely to find balance, support, or exhaustion.
Unlike traditional static channels, Axel ATR Flow features real-time interpolation between closed and live data within the same higher-timeframe candle.
This means that even intraday, the indicator smoothly follows actual market movement, offering a realistic view of active volatility.
How it works
The system builds five key elements:
Central Flow Line — the main trend reference.
Main Trail — the primary volatility boundary and near-support zone.
Lower Trail — a deeper overshoot zone, often forming major accumulation areas.
An Upper Trail — the first resistance boundary.
An Upper2 Trail — the extreme resistance level, marking potential exhaustion.
The indicator adapts these levels dynamically using ATR calculations and smoothing filters (SMA or ZLEMA).
It can be locked to specific higher timeframes (Daily, Weekly, Monthly, 2D, 3D) while still reacting smoothly to current intraday price movement.
How to use it
• Trend direction:
The slope of the Flow Line represents the active trend.
When it’s rising, market flow is bullish; when falling, bearish pressure dominates.
• Support and resistance:
The Main and Lower Trails act as dynamic supports where price often bounces in an uptrend.
The Upper and Upper2 Trails mark zones where rallies typically slow down or reverse.
• Entries and exits:
— Buy setups often appear when price approaches or slightly dips below the Main or Lower Trail during an uptrend.
— Take-profit zones align with touches of the Upper or Upper2 Trails.
— In sideways markets, repeated touches at both extremes often precede breakout volatility.
• Volatility signals:
A wide channel means strong volatility — wait for stabilization or use smaller position sizes.
A narrow channel shows contraction — conditions are favorable for continuation trades after breakout.
Practical tips
• Combine Axel ATR Flow with oscillators such as RSI or Stoch RSI to confirm overbought or oversold conditions near outer bands.
• On higher timeframes, the indicator reveals the breathing pattern of the market — periods of compression followed by expansion.
• For spot trading or DCA strategies, entries near the Lower Trail during strong trends often provide excellent accumulation opportunities.
• Works effectively across markets: crypto, forex, indices, and commodities.
Summary
Axel ATR Flow unites precise volatility analysis with smooth visual representation of market structure.
It can be used as both a trend filter and an execution framework, identifying where price flow tends to stabilize or exhaust.
Part of the Axel Alts system, this indicator was engineered for traders who value clarity, adaptability, and realism in market analysis.
