Zero-Lag ATR Trend [BackQuant]Zero-Lag ATR Trend
Overview
Zero-Lag ATR Trend is a volatility-adaptive trend-following overlay designed to identify directional market regimes with minimal delay while preserving structural clarity. The indicator combines a zero-lag moving average framework with a zero-lag volatility model to produce a trailing trend line that reacts quickly to meaningful price changes without becoming unstable or overly sensitive.
Unlike conventional ATR-based trend tools that rely on lagging averages and delayed volatility estimates, this indicator applies zero-lag logic to both the trend centerline and the volatility calculation. The result is a trend structure that aligns more closely with real-time price action while still maintaining the discipline required for trend continuation trading.
Core design philosophy
The core idea behind Zero-Lag ATR Trend is simple:
Reduce signal delay without sacrificing trend integrity.
Adapt dynamically to changing volatility regimes.
Provide a single, clean structure that defines trend direction, continuation, and invalidation.
Instead of stacking multiple indicators, the script builds a complete trend framework from two tightly integrated components: a zero-lag trend spine and a zero-lag ATR trailing mechanism.
Zero-lag trend spine
The trend spine is constructed using a zero-lag moving average (ZLMA). This is achieved by applying a corrective step to a traditional moving average, effectively compensating for smoothing delay.
Conceptually, the process works as follows:
A base moving average is calculated from the selected price source.
That moving average is then passed through a zero-lag correction.
The correction pulls the line closer to current price without introducing noise.
This produces a trend line that reacts faster than standard EMA, SMA, or HMA signals, particularly during early trend acceleration phases. Multiple moving-average types can be used inside the zero-lag framework, allowing traders to fine-tune responsiveness based on asset behavior and timeframe.
Zero-lag volatility model
Volatility is measured using True Range, but instead of applying classic ATR smoothing, the indicator uses a zero-lag smoothing pass on the True Range itself.
This approach offers several advantages:
Volatility expands more quickly during impulse moves.
Volatility contracts faster during consolidations.
Band width adjusts in near real-time to changing conditions.
The smoothed zero-lag ATR is multiplied by a user-defined factor to create adaptive upper and lower boundaries around the trend spine. These boundaries define how much counter-movement price is allowed before the trend structure is invalidated.
Volatility-aware trailing structure
The trailing output is the defining feature of the indicator. It behaves as a one-directional trailing structure:
In bullish conditions, the trailing line can only move upward.
In bearish conditions, the trailing line can only move downward.
Minor pullbacks inside the volatility envelope do not flip the trend.
This logic prevents the indicator from reacting to shallow retracements and focuses instead on structural trend changes. Because the trailing behavior is volatility-scaled, the indicator remains stable during high volatility while still responding promptly during regime shifts.
Trend flips and regime transitions
Trend direction is determined by changes in the trailing structure itself rather than raw price crosses. A trend flip occurs only when price movement is strong enough, relative to current volatility, to force the trailing line to reverse direction.
This means:
Bullish flips represent genuine transitions into upward regimes.
Bearish flips represent genuine transitions into downward regimes.
Sideways noise is largely filtered out.
As a result, the indicator is well suited for identifying medium-to-long trend phases rather than short-term oscillations.
Visual structure and chart clarity
The visual design is intentionally minimal and functional:
The main trailing line is color-coded by trend direction.
An optional ribbon or cloud reinforces directional bias.
Optional candle coloring aligns price bars with the active trend.
These elements allow traders to assess trend state instantly without interpreting multiple signals or overlays.
How to use for trend following
Trend bias
Maintain a bullish bias while price holds above the trailing line.
Maintain a bearish bias while price holds below the trailing line.
Entries
Trend flips can be used as initial directional entries.
Pullbacks toward the trailing line often act as continuation opportunities.
Momentum confirmation can be layered on top for additional confluence.
Trend management
The trailing line naturally functions as a dynamic stop reference.
As long as price respects the trailing structure, the trend remains valid.
A flip in direction signals a full regime transition rather than a minor correction.
Why zero-lag matters for trend trading
Traditional trend indicators often react late, especially during fast expansions, resulting in delayed entries and early exits. By reducing lag in both the trend calculation and the volatility model, Zero-Lag ATR Trend aims to capture a larger portion of directional moves while maintaining consistency and discipline.
This makes it particularly effective for momentum-based trend following, breakout continuation strategies, and traders who prioritize staying aligned with dominant market structure rather than predicting reversals.
Summary
Zero-Lag ATR Trend is a complete trend-following framework built around responsiveness, adaptability, and clarity. Its zero-lag architecture allows it to respond earlier to meaningful price changes, while its volatility-aware trailing logic ensures that trends are only invalidated when structure truly breaks. The result is a clean, intuitive tool that supports disciplined trend participation across assets and timeframes.
A-trend
Volatility Trend Score [BackQuant]Volatility Trend Score
Overview
Volatility Trend Score is a trend-strength and regime-evaluation indicator built to measure directional persistence, not just direction. Most trend tools answer “up or down” using slope, crossovers, or a single condition. This indicator answers a more useful question for real trading: “How consistently is trend structure holding up once volatility is accounted for?”
It does this by building a volatility-scaled trailing structure (ATR-based) and then scoring how that structure evolves over a configurable lookback range. The output is a continuous score that rises when trend is persistent and decays when price action becomes noisy, mean-reverting, or unstable.
What it is measuring (the real goal)
This indicator is not trying to predict reversals. It is trying to quantify whether the market is behaving like a trend market or a chop market. It focuses on:
Persistence: does structure keep pushing in one direction bar after bar?
Stability: are pullbacks being absorbed without breaking the trailing structure?
Regime: is the market trending strongly enough to justify directional bias?
If you already have entries from other systems, this becomes a high-quality trend filter and trade management layer.
Core idea
At its foundation, the indicator combines two parts:
A volatility-adjusted trailing level derived from ATR and a user-defined factor.
A rolling persistence score that compares the current trail to prior trail values over a configurable loop window.
The trailing structure adapts to volatility and enforces one-sided movement, while the scoring logic converts that behavior into a numeric measure of trend quality.
Inputs and what they actually control
Average True Range Period (calc_p)
Defines the ATR window used to estimate volatility. A higher value smooths the volatility estimate and makes the trailing structure less reactive.
Factor (atr_factor)
Scales the ATR band size. Higher values widen the trailing band, filtering more noise, reducing flip frequency, and generally producing slower but more stable regimes.
For Loop Start/End (start/end)
Defines the comparison window used to build the score. It effectively sets how many historical trail values the current trail is compared against.
Shorter ranges produce a faster, more responsive score.
Longer ranges produce a slower, more “confidence-based” score that only climbs when trend persistence is sustained.
Long/Short Thresholds (thresL/thresS)
Convert a continuous score into regime thresholds.
Long threshold is a “trend quality requirement” for bullish bias.
Short threshold is used as a deterioration / breakdown trigger via crossunder logic.
Volatility-adjusted trailing structure
The trailing line is built from ATR bands around price:
up = close + ATR * factor
dn = close - ATR * factor
Then a trailing value is maintained with one-sided ratcheting behavior:
If dn rises above the previous trail, the trail steps up (ratchets upward).
If up drops below the previous trail, the trail steps down (ratchets downward).
This “ratchet” behavior is important. It prevents the trail from oscillating with small countertrend moves, forcing the trail to represent meaningful structure rather than micro-noise. On-chart, this trail often behaves like dynamic support/resistance in trends.
Why the trail is a better base than raw price
Price itself is noisy, and volatility changes the meaning of “big move” vs “small move.” By anchoring structure to ATR:
A move is interpreted relative to current volatility, not in absolute points.
High-volatility chop is less likely to be misread as a trend.
Trend structure is normalized across assets and timeframes more reliably.
This is why the score remains usable even when switching from low-vol assets to high-vol crypto pairs.
Trend scoring logic
The score is built by repeatedly comparing the current trailing value to trailing values from prior bars across a loop window:
If current trail > trail , add +1
If current trail < trail , add -1
This is a persistence test, not a momentum calculation. In a strong trend, the trail should generally keep stepping in the trend direction, so current values will be greater than many past values (bullish) or lower than many past values (bearish). In chop, the trail fails to progress meaningfully, so the score compresses, oscillates, or bleeds out.
How to interpret the score
Think of the score as a “trend conviction meter”:
High positive values: bullish persistence, structure is advancing consistently.
Low positive values: bullish bias may exist, but trend quality is weak or unstable.
Near zero: indecision, range behavior, or frequent structure challenges.
Negative values: bearish dominance or sustained deterioration in structure.
The speed of score change matters too:
Fast expansion suggests a fresh regime gaining traction.
Slow grind suggests mature trend continuation.
Rapid compression often signals consolidation, exhaustion, or a transition phase.
Signals and regime transitions
This script uses two different styles of conditions (important detail):
Long condition: score > long threshold (state-based, persistent while true).
Short condition: crossunder(score, short threshold) (event-based trigger).
That means:
Long bias can remain active as long as score stays above the long threshold.
Short regime flips are triggered at the moment the score breaks down through the short threshold.
On the chart, long/short shapes are only plotted when the regime flips (first bar of the change), not on every bar, using:
Long shape when signal becomes 1 and previous signal was -1
Short shape when signal becomes -1 and previous signal was 1
This keeps signals clean and avoids spam, making it usable for alerts and regime tagging.
Visual presentation
The indicator is designed to work both as a panel oscillator and as an on-chart overlay:
Score plot (oscillator): color reflects active regime state.
Optional trail on price: volatility-scaled structure line on chart.
Optional threshold reference lines: clear regime boundaries.
Optional candle coloring: makes regime obvious without reading the panel.
Optional background shading: useful for quick scanning and backtesting visually.
You can use only the score, only the trail, or both together depending on your workflow.
Practical use cases
1) Trend filter for systems
Use the score as a regime gate:
Allow long entries only when score is above the long threshold.
Avoid longs when score compresses toward zero or loses the threshold.
Treat the short threshold break as “trend is no longer healthy.”
This often improves system expectancy by reducing exposure during low-conviction conditions.
2) Trend quality grading
Instead of treating all uptrends as equal:
Higher score = higher persistence, better continuation odds.
Score plateau = trend losing pressure, continuation becomes less reliable.
Score decay while price rises = trend is getting weaker under the hood.
This is useful for position sizing or deciding whether to add to winners.
3) Trade management and exits
Two complementary tools exist here:
Trail line can act as a dynamic stop reference or structure invalidation level.
Score behavior can be used to scale out when persistence fades (before a full flip).
Many traders use the trail for “hard structure” and the score for “soft deterioration.”
4) Breakout confirmation vs fakeouts
A breakout that immediately fails to build score is often low quality.
Healthy breakouts usually come with score expansion as structure advances.
Fakeouts often revert quickly, score fails to climb, and regime stays unstable.
Tuning guidelines
These are general behaviors you can expect when adjusting settings:
Higher ATR period and factor: slower regimes, fewer flips, cleaner structure.
Lower ATR period and factor: faster reaction, more sensitivity, more noise risk.
Longer loop range: score becomes more “confidence-based,” slower to change.
Shorter loop range: score becomes more “tactical,” faster but more jittery.
A good way to tune is to pick the trail behavior first (ATR period and factor), then tune the score window (loop) to match how quickly you want “trend conviction” to build.
Market behavior focus
Volatility Trend Score is most valuable in markets where volatility shifts frequently and fake trends are common, especially crypto. It is designed to:
Stay out of low-quality chop where most indicators whipsaw.
Quantify when volatility is being expressed directionally (constructive trend).
Provide a clean regime framework for filtering, alignment, and management.
Summary
Volatility Trend Score converts volatility-adjusted structure into a quantified measure of trend persistence. By combining an ATR-based trailing mechanism with a rolling comparison score, it provides a more reliable read on trend quality than single-condition indicators. It is best used as a regime filter, a trend strength gauge, and a trade management layer, helping you stay aligned with strong directional phases while avoiding low-conviction envir
HMA Trend Scalper V1[wjdtks255]
Overview
This indicator is a high-performance trend-following system optimized for crypto futures trading. It provides clear entry signals and dynamic, real-time risk management tools to help traders stay on the right side of the market.
Key Features
Dynamic Trend Tracking: Uses a specialized HMA (Hull Moving Average) to filter market noise and identify the core trend.
Real-time TP/SL Extension: Unlike static indicators, the Take Profit (TP) and Stop Loss (SL) lines extend candle-by-candle along with the price action.
Clean Chart UI: Lines only exist from the entry point to the current candle, preventing chart clutter.
Automatic Completion: Once the price hits a target, the line stops extending and marks the result (Target Hit or Stop Out).
Trading Strategy (How to Trade)
1. Long Entry (🚀 LONG)
Condition: The price must be above the trend line, and a breakout of the recent 5-candle high must occur with significant volume.
Action: Enter a Long position when the "🚀 LONG" label appears.
Exit: Hold until the price reaches the Cyan (Aqua) TP line or hits the Yellow SL line.
2. Short Entry (💀 SHORT)
Condition: The price must be below the trend line, and a breakdown of the recent 5-candle low must occur with significant volume.
Action: Enter a Short position when the "💀 SHORT" label appears.
Exit: Hold until the price reaches the Cyan (Aqua) TP line or hits the Yellow SL line.
3. Risk Management
Stop Loss: The indicator automatically calculates the optimal SL based on recent volatility (ATR) and swing points.
Take Profit: The TP is set at a calculated ratio to ensure a positive risk-to-reward setup.
Settings
Trend Sensitivity: Adjust the HMA length to match your preferred timeframe (Scalping vs. Swing).
Volume Multiplier: Filter out weak moves by increasing the volume breakout requirement.
Custom Styles: Fully customize line colors, widths, and styles (Solid, Dashed, Dotted) in the settings menu.
VWAP Gravity Oscillator (VGO) (Intraday Only)VWAP Gravity Oscillator (VGO)
The VWAP Gravity Oscillator (VGO) is an intraday analytical indicator designed to quantify price displacement from VWAP and the rate of change of that displacement.
The indicator models VWAP as a statistical equilibrium level and evaluates:
Price deviation from VWAP (Delta)
Momentum and acceleration of that deviation via MACD
This framework enables assessment of trend persistence versus mean-reversion pressure in intraday price action.
Methodology
VWAP Delta
Measures the signed distance between price and VWAP, representing directional bias relative to equilibrium.
MACD on Delta
Captures the first- and second-order dynamics of VWAP deviation, highlighting acceleration, deceleration, and potential inflection points.
Zero Line
Represents price–VWAP equilibrium. Crossings may indicate regime transitions.
Interpretation Guidelines
Positive Delta
Price is trading above VWAP with positive directional bias.
Negative Delta
Price is trading below VWAP with negative directional bias.
Increasing MACD
Expansion of VWAP deviation (trend reinforcement).
Decreasing or reversing MACD
Contraction of VWAP deviation (mean-reversion risk).
Intended Applications
Intraday trend validation
Early detection of trend exhaustion
Mean-reversion risk assessment
Filtering low-conviction or balanced market conditions
Implementation Notes
Designed exclusively for intraday timeframes
Automatically suppressed on higher-timeframe charts
Intended as a contextual analysis tool, not a standalone signal generator
Conceptual Summary
VGO evaluates whether price is diverging from, stabilising around, or reverting toward VWAP by analysing both displacement and its rate of change.
EDUVEST UTBOT ADJ - Adaptive ATR Trailing StopEDUVEST UTBOT ADJ - Adaptive ATR Trailing Stop with Session-Based Sensitivity
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█ ORIGINALITY
This indicator is an enhanced version of the classic UT Bot concept, featuring automatic session-based ATR sensitivity adjustment. Unlike the original UT Bot which uses a fixed sensitivity value, this version dynamically adapts to different trading sessions (Tokyo, London, New York) and automatically detects asset characteristics to optimize signal generation.
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█ WHAT IT DOES
- Generates BUY and SELL signals based on ATR trailing stop crossovers with a moving average
- Automatically adjusts sensitivity based on current trading session (Tokyo/London/NY)
- Auto-detects asset type and applies optimized parameters for each instrument
- Displays real-time session information and volatility status
- Provides alert functionality with customizable cooldown periods
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█ HOW IT WORKS
【Core Logic: ATR Trailing Stop】
The indicator calculates an ATR-based trailing stop using the formula:
Trailing Stop = Price ± (Sensitivity × ATR)
When price is above the trailing stop and rising, the stop trails below price.
When price is below the trailing stop and falling, the stop trails above price.
【Signal Generation】
- BUY Signal: Price crosses above the trailing stop AND Moving Average crosses above the trailing stop
- SELL Signal: Price crosses below the trailing stop AND Moving Average crosses below the trailing stop
【Session-Based Sensitivity Adjustment】
The indicator adjusts ATR sensitivity based on trading session (JST timezone):
- Tokyo (08:00-15:00): Lower sensitivity (reduced by adjustment value) - typically quieter markets
- London (15:00-23:00): Base sensitivity - moderate volatility
- New York (23:00-08:00): Higher sensitivity (increased by adjustment value) - higher volatility
【Dynamic ATR Adjustment】
When enabled, the indicator compares current ATR to its smoothed average:
- ATR Ratio = Current ATR / SMA(ATR, smoothing period)
- Volatility Multiplier = 1.0 + (Sensitivity × (2.0 - ATR Ratio))
This reduces sensitivity during high volatility (fewer false signals) and increases sensitivity during low volatility (faster response).
【Auto Asset Detection】
The indicator automatically detects the traded instrument and applies optimized parameters:
- Stable pairs (USDJPY, EURUSD, USDCHF): Base sensitivity 1.5-1.8
- Moderate pairs (AUDUSD, USDCAD, EURJPY): Base sensitivity 2.0-2.3
- Volatile pairs (GBPUSD): Base sensitivity 2.8
- Commodities (GOLD/XAUUSD): Base sensitivity 3.5
- Indices (NASDAQ/NAS100): Base sensitivity 4.0
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█ HOW TO USE
【Recommended Settings】
- Timeframe: 15 minutes or higher (15M, 1H, 4H recommended)
- Best performance on: Forex majors, Gold, NASDAQ
- Enable "Auto Asset Detection" for optimized parameters
【Entry Rules】
- BUY: Enter long when green BUY label appears
- SELL: Enter short when pink SELL label appears
【Session Panel】
The top-right panel displays:
- Current trading session (Tokyo/London/NY)
- Volatility status (High Chance/Medium Chance/Caution)
- Mode (AUTO/MANUAL)
【Alert Setup】
1. Enable "Viewer Alert Display" in settings
2. Set cooldown period (default: 15 minutes) to avoid signal spam
3. Create alert with "Any alert() function call" condition
【Important Notes】
- This indicator does not repaint - signals are confirmed at bar close
- Lower timeframes (1M, 5M) may generate excessive signals
- Always use proper risk management and confirm with other analysis
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█ SETTINGS OVERVIEW
🎯 Alert Settings
- Viewer Alert Display: Enable/disable alert labels
- Cooldown Function: Prevent rapid consecutive signals
- Cooldown Time: Minutes between alerts (5-60)
🔧 Dynamic ATR Settings
- Enable Dynamic ATR: Auto-adjust based on volatility
- ATR Period: Calculation period (default: 14)
- ATR Smoothing: Smoothing period for ratio calculation
- Volatility Sensitivity: How much to adjust (0.1-1.0)
🕐 Session ATR Adjustment
- Enable Time Adjustment: Session-based sensitivity
- Show Session Info: Display session panel
📊 Asset Settings
- Auto Asset Detection: Automatically optimize for instrument
- Manual settings available when auto-detection is disabled
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█ CREDITS
Based on the original UT Bot concept by QuantNomad.
Enhanced with session-based adaptation and auto-asset detection by EduVest.
License: Mozilla Public License 2.0
EDUVEST Lorentzian ClassificationEDUVEST Lorentzian Classification - Machine Learning Signal Detection
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█ ORIGINALITY
This indicator enhances the original Lorentzian Classification concept by jdehorty with EduVest's visual modifications and alert system integration. The core innovation is using Lorentzian distance instead of Euclidean distance for k-NN classification, providing more robust pattern recognition in financial markets.
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█ WHAT IT DOES
- Generates BUY/SELL signals using machine learning classification
- Displays kernel regression estimate for trend visualization
- Shows prediction values on each bar
- Provides trade statistics (Win Rate, W/L Ratio)
- Includes multiple filter options (Volatility, Regime, ADX, EMA, SMA)
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█ HOW IT WORKS
【Lorentzian Distance Calculation】
Unlike Euclidean distance, Lorentzian distance uses logarithmic transformation:
d = Σ log(1 + |xi - yi|)
This provides:
- Better handling of outliers
- More stable distance measurements
- Reduced sensitivity to extreme values
【Feature Engineering】
The classifier uses up to 5 configurable features:
- RSI (Relative Strength Index)
- WT (WaveTrend)
- CCI (Commodity Channel Index)
- ADX (Average Directional Index)
Each feature is normalized using the n_rsi, n_wt, n_cci, or n_adx functions.
【k-Nearest Neighbors Classification】
1. Calculate Lorentzian distance between current bar and historical bars
2. Find k nearest neighbors (default: 8)
3. Sum predictions from neighbors
4. Generate signal based on prediction sum (>0 = Long, <0 = Short)
【Kernel Regression】
Uses Rational Quadratic kernel for smooth trend estimation:
- Lookback Window: 8
- Relative Weighting: 8
- Regression Level: 25
【Filters】
- Volatility Filter: Filters signals during extreme volatility
- Regime Filter: Identifies market regime using threshold
- ADX Filter: Confirms trend strength
- EMA/SMA Filter: Trend direction confirmation
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█ HOW TO USE
【Recommended Settings】
- Timeframe: 15M, 1H, 4H, Daily
- Neighbors Count: 8 (default)
- Feature Count: 5 for comprehensive analysis
【Signal Interpretation】
- Green BUY label: Long entry signal
- Red SELL label: Short entry signal
- Bar colors: Green (bullish) / Red (bearish) prediction strength
【Trade Statistics Panel】
- Winrate: Historical win percentage
- Trades: Total (Wins|Losses)
- WL Ratio: Win/Loss ratio
- Early Signal Flips: Premature signal changes
【Filter Recommendations】
- Enable Volatility Filter for ranging markets
- Enable Regime Filter for trend confirmation
- Use EMA Filter (200) for higher timeframes
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█ CREDITS
Original Lorentzian Classification concept and MLExtensions library by jdehorty.
Enhanced with visual modifications and alert integration by EduVest.
License: Mozilla Public License 2.0
MarcoVieira - PB+BB+SAR+Supertrend@marco1981
Instagram @marcovieira.oficial
- Supertrend:
Calculates the Supertrend indicator using ATR. It plots green lines when the trend is bullish and red lines when bearish. It also shows buy/sell labels when the trend changes, and can highlight the background according to the trend. Alerts are triggered on buy, sell, or direction change.
- Pivot Boss EMAs:
Plots several exponential moving averages (20, 50, 100, 200, 400) directly on the price chart. These help visualize short-, medium-, and long-term trends.
- Bollinger Bands:
Draws Bollinger Bands (upper, lower, and basis) around price, with dynamic coloring (green if price is above the basis, red if below). The fill between bands changes color accordingly.
- Parabolic SAR:
Plots the Parabolic SAR dots above or below price, configurable with start, step, and maximum values. Dots appear gray depending on whether price is above or below the SAR.
👉 In short: this indicator combines Supertrend signals, multiple EMAs, Bollinger Bands, and Parabolic SAR into one chart to give a multi-tool view of market trend, momentum, and potential entry/exit points.
MarcoVieira - Bollinger Band sobre RSI (Long & Short + Alerts) Strategy Summary
This Pine Script strategy combines RSI (Relative Strength Index) with Bollinger Bands applied directly on the RSI values. Instead of using Bollinger Bands on price, it uses them on RSI to detect stronger overbought/oversold signals.
⚙️ How It Works
1. RSI Calculation
• RSI is computed from price changes (default length 14).
• It measures momentum and oscillates between 0–100.
2. Bollinger Bands on RSI
• A moving average of RSI (basis).
• Upper and lower bands are created using standard deviation.
• These bands show when RSI is unusually high or low compared to its average.
3. Entry & Exit Conditions
• Long Entry (LE): RSI drops below the lower band and is very low (<40).
• Long Exit (LX): RSI rises back above the basis or goes above 65.
• Short Entry (SE): RSI rises above the upper band and is very high (>60).
• Short Exit (SX): RSI falls back below the basis or goes under 35.
4. Risk Management
• Dynamic take profit and stop loss levels are calculated as percentages of the entry price.
• This ensures trades are automatically managed.
5. Visual Signals
• Colored markers show entries/exits directly on the RSI chart:
• Green (dark) → Long Entry
• Red (dark) → Long Exit
• Red (light) → Short Entry
• Green (light) → Short Exit
• Blue/orange markers highlight RSI and BB Basis extremes.
6. Alerts
• Alerts trigger for entries, exits, and extreme RSI/BB Basis values.
• This allows automated monitoring without watching the chart constantly.
7. Extras
• Optional plots show cumulative profit/loss (PnL) and current position size.
In Short
This is a Bollinger Band on RSI trading system. It:
• Spots overbought/oversold conditions more dynamically than plain RSI.
• Provides clear entry/exit signals with color-coded markers.
• Automates risk management with TP/SL.
• Sends alerts so you can act quickly or automate trades.
• Helps visualize both momentum and trade performance in one chart.
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DivScan Pro - User Guide
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OVERVIEW
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DivScan Pro is a multi-indicator divergence scanner that detects potential
reversal points by analyzing 10+ technical indicators simultaneously.
Optimized for 5m and 15m timeframes.
SIGNAL ICONS
────────────────────────────────────────────────────────────────────────────────
▲ Green Triangle (Below Bar) = BUY Signal
Strong bullish divergence confirmed by volume + RSI oversold
▼ Red Triangle (Above Bar) = SELL Signal
Strong bearish divergence confirmed by volume + RSI overbought
▲ Faded Green Triangle = Weak BUY
Bullish divergence detected but filters not fully met
▼ Faded Red Triangle = Weak SELL
Bearish divergence detected but filters not fully met
H Red "H" Label = Pivot High Point
L Green "L" Label = Pivot Low Point
DIVERGENCE LABELS
────────────────────────────────────────────────────────────────────────────────
┌─────────┐
│ MC │ Aqua Box (Bottom) = Bullish Divergence
│ RS │ Shows which indicators detected divergence
│ 3 │ Number = total indicator count
└─────────┘
┌─────────┐
│ MC │ Purple Box (Top) = Bearish Divergence
│ VW │ Shows which indicators detected divergence
│ MF │ Number = total indicator count
│ 3 │
└─────────┘
INDICATOR ABBREVIATIONS
────────────────────────────────────────────────────────────────────────────────
MC = MACD Line
MH = MACD Histogram
RS = RSI (Relative Strength Index)
ST = Stochastic
CC = CCI (Commodity Channel Index)
MO = Momentum
OB = OBV (On Balance Volume)
VW = VWMACD (Volume Weighted MACD)
CF = CMF (Chaikin Money Flow)
MF = MFI (Money Flow Index)
EX = External Indicator
DIVERGENCE LINES
────────────────────────────────────────────────────────────────────────────────
─────── Solid Aqua Line = Bullish Regular Divergence
Price: Lower Low | Indicator: Higher Low
Suggests: Potential upward reversal
─────── Solid Purple Line = Bearish Regular Divergence
Price: Higher High | Indicator: Lower High
Suggests: Potential downward reversal
- - - - Dashed Lime Line = Bullish Hidden Divergence
Price: Higher Low | Indicator: Lower Low
Suggests: Trend continuation (uptrend)
- - - - Dashed Red Line = Bearish Hidden Divergence
Price: Lower High | Indicator: Higher High
Suggests: Trend continuation (downtrend)
HOW TO USE
────────────────────────────────────────────────────────────────────────────────
1. WAIT FOR STRONG SIGNALS
Look for solid ▲ or ▼ triangles (not faded)
These have volume + RSI confirmation
2. CHECK CONFLUENCE
More indicators = stronger signal
Label shows "3" or higher = high confidence
3. CONFIRM WITH PRICE ACTION
Wait for candle confirmation after signal
Look for support/resistance levels
4. RECOMMENDED SETTINGS FOR SCALPING (5m/15m)
• Pivot Period: 3
• Min Confirmations: 2
• Max Lookback: 50
• Wait Confirmation: ON
SETTINGS QUICK REFERENCE
────────────────────────────────────────────────────────────────────────────────
MAIN
Pivot Period How many bars to identify pivot (lower = more signals)
Pivot Source Close or High/Low for pivot detection
Divergence Type Regular, Hidden, or Both
Max Pivots Maximum pivot points to scan
Max Lookback Maximum bars to look back
Min Confirmations Minimum indicators required (higher = fewer but stronger)
Wait Confirmation Wait for bar close before signal
DISPLAY
Labels Full (MC), Abbrev (M), or None
Show Count Display number of confirming indicators
Show Lines Draw divergence lines on chart
Show Pivots Mark H/L pivot points
Last Only Show only most recent divergence
Show MA 50/200 Display moving averages
INDICATORS
Toggle each indicator ON/OFF for divergence scanning
ALERTS
────────────────────────────────────────────────────────────────────────────────
Available alerts in TradingView:
• Bullish Regular Divergence
• Bearish Regular Divergence
• Bullish Hidden Divergence
• Bearish Hidden Divergence
• Any Bullish Divergence
• Any Bearish Divergence
TIPS
────────────────────────────────────────────────────────────────────────────────
✓ Higher "Min Confirmations" = fewer signals but higher accuracy
✓ Use with support/resistance levels for best entries
✓ Strong signals (solid triangles) have better win rate
✓ Multiple indicator confluence (3+) = highest probability trades
✓ Always use stop loss - divergence can fail
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DivScan Pro v1.0
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YUSUF KARA YZLM Moving Average and Buy/Sell SignalsThis indicator is a comprehensive technical analysis tool that combines dynamic trend tracking and a multiple moving average system. It offers four different moving average lines along with pivot points and an ATR (Average True Range) based trailing stop system.
Features
1. Dynamic Trend Following System
Center calculation based on pivot points (high/low)
Adjustable trailing stop levels with ATR factor
Automatic BUY and SELL signals
Colored line according to trend direction (Green: Uptrend, Red: Downtrend)
2. Multiple Moving Average System
4 different periods (default: 10, 50, 100, 200)
4 different calculation methods:
EMA (Exponential Moving Average)
SMA (Simple Moving Average)
WMA (Weighted Moving Average)
HMA (Hull Moving Average)
Same calculation method or source selection for all periods
Parameters
Trend Following Settings:
Pivot Point Period (2): Calculation period of pivot points
ATR Factor (3): ATR multiplier that determines the trailing stop width
ATR Period (10): ATR calculation Period
Moving Average Settings:
Period Type: Select EMA, SMA, WMA, or HMA
Period Type: Data source (Close, Open, High, Low, etc.)
Periods 1-4: Moving average periods
How to Use
Trend Signals:
BUY tag: Beginning of an uptrend (green)
SELL tag: Beginning of a downtrend (red)
The trend line shows the trailing stop level
Moving Averages:
Blue (10), Black (50), Orange (100), Red (200)
Can be used to identify support/resistance levels and trend direction
Crossovers are important signal points
Strategy Suggestions
BUY signal + price above moving averages = Strong buy
SELL signal + price below moving averages = Strong sell
The trend line can be used as a stop-loss level
Moving average crossovers confirm trend changes
Warnings
Each signal means a profitable trade It will not come.
Risk management should always be applied.
It is recommended to use it together with other indicators and analysis methods.
Past performance does not guarantee future results.
Minervini Ultimate +VCPMinervini Ultimate Suite (SEPA Dashboard)
This indicator implements Mark Minervini's "Trend Template" criteria combined with a Volatility Contraction Pattern (VCP) detector and a custom Relative Strength rating. It is designed to help traders visualize the technical health of a stock based on stage analysis concepts.
This indicator serves as a complete Control System (Dashboard) for Mark Minervini's SEPA trading strategy. Instead of manually checking five different metrics on every chart, this indicator performs the mathematical calculations and presents the "bottom line" in a single, organized table.
1. What This Indicator Does
The goal is to ensure you never enter a trade blindly. It verifies the stock against Minervini's strict requirements:
Trend: Is the stock in a healthy Stage 2 Uptrend?
Relative Strength: Is it stronger than the general market?
Buy Risk: Is it the right time to buy, or is the price extended?
Pressure: Are institutions accumulating or distributing?
VCP: Is there a breakout opportunity (volatility contraction) right now?
2. Key Benefits
Time-Saving: Instead of drawing lines and calculating percentages manually, you get immediate visual feedback (Green/Red).
Discipline: The indicator will flag "Extended" (Red) if you attempt to buy a stock that has run up too much, saving you from late entries and unnecessary losses.
Precision Timing: The VCP feature (Blue Dots) helps you identify the "calm before the storm"—the exact moment volatility contracts, which often precedes a major breakout.
3. Indicator Parameters & Features
A. Minervini Pressure (Buying vs. Selling)
What it checks: Money flow over the last 20 days.
Calculation: Sums up volume on "Up Days" (Green) versus volume on "Down Days" (Red).
Meaning:
🟢 Buying: More money is entering than leaving. A sign of institutional accumulation.
🔴 Selling: Selling pressure dominates. The price may be rising, but without strong volume backing.
B. Buy Risk (Price Extension)
What it checks: The distance of the current price from the 50-Day Moving Average. Minervini strictly warns against "chasing" stocks.
Signals:
🟢 Low Risk: Price is within 0% – 15% of the 50MA. This is the ideal "Buy Zone".
🟡 Caution: Price is 15% – 25% away. Buy with increased caution.
🔴 Extended: Price is >25% from the MA. Do not buy. The probability of a pullback is high.
⚪ Broken: Price is below the 50MA. The short-term trend is damaged.
C. TPR - Trend Template (Trend Power Rating)
What it checks: Is the stock in a Stage 2 Uptrend?
Strict Rules (All must be true for a PASS):
Price > 50MA > 150MA > 200MA.
The 200MA is trending UP (positive slope).
Price is near the 52-Week High (within 25%).
Price is above the 52-Week Low (at least 25%).
Meaning:
🟢 PASSED: Technically healthy and ready to move.
🔴 FAILED: The trend structure is broken (e.g., MAs are entangled).
D. RPR Score (Relative Performance Rating)
What it checks: How strong the stock is compared to the general market (S&P 500 / SPY).
Calculation: Weighted performance over 3, 6, 9, and 12 months vs. the SPY. The score ranges from 1 to 99.
Meaning:
🟢 80-99: Market Leader. These are the stocks Minervini targets.
🟡 70-80: Good, but not elite.
⚪ Below 70: Laggard (weaker than the market).
E. VCP Action (Volatility Contraction Pattern)
What it checks: Monitors price tightness. It calculates the range between the highest close and lowest close over the last 5 days.
Meaning:
🔵 SQUEEZE (Blue Text + Blue Dot on Chart): The price range has contracted to less than 2.5%.
Why it matters: When a stock stops moving wildly and trades in a tight range ("Flat Line"), it indicates supply has dried up. A high-volume breakout often follows immediately.
Trend Force Index (HTF Momentum)📌 Description
Trend Force Index • HTF Momentum (TFI-HTF) is a market context and trend-strength indicator designed to help traders understand directional force, momentum quality, and higher-timeframe bias.
This tool measures directional impulse and trend pressure using a dual-average force model, normalized by volatility. Instead of producing buy or sell signals, it focuses on how strong a move is, which side controls the market, and whether price is in a trending or compressing state.
🔍 What This Indicator Shows
Directional Force: Identifies bullish, bearish, and neutral force zones
Momentum Quality: Differentiates strong trends from weak or fading moves
Compression Zones: Highlights low-force environments where trades are often lower quality
Higher-Timeframe Context (HTF): Displays directional bias from a higher timeframe for alignment
Volatility Normalization: Adapts to changing market conditions using ATR
🧭 How to Use
Use force direction to confirm price action or structure-based setups
Trade in alignment with HTF bias for higher-probability context
Avoid entries during compression / low-force zones
Best used alongside price action, market structure, VWAP, or support & resistance
🎛 UI Presets
PRO Mode: Clean, subdued visuals for experienced traders
BEGINNER Mode: Higher contrast visuals for easier interpretation
⚠️ Important Notes
This indicator does NOT generate buy or sell signals.It is intended for analysis, confirmation, and market context only. Always combine with your own trading plan and risk management
⚠️ Disclaimer
This indicator is provided for educational and analytical purposes only.It does not constitute financial advice or trade recommendations.All trading decisions and associated risks remain the sole responsibility of the user.Past market behavior does not guarantee future results.
MDZ Strategy v4.2 - Multi-factor trend strategyWhat This Strategy Does
MDZ (Momentum Divergence Zones) v4.2 is a trend-following strategy that enters long positions when multiple momentum and trend indicators align. It's designed for swing trading on higher timeframes (2H-4H) and uses ATR-based position management.
The strategy waits for strong trend confirmation before entry, requiring agreement across five different filters. This reduces trade frequency but aims to improve signal quality.
Entry Logic
A long entry triggers when ALL of the following conditions are true:
1. EMA Stack (Trend Structure)
Price > EMA 20 > EMA 50 > EMA 200
This "stacked" alignment indicates a strong established uptrend
2. RSI Filter (Momentum Window)
RSI between 45-75 (default)
Confirms momentum without entering overbought territory
3. ADX Filter (Trend Strength)
ADX > 20 (default)
Ensures the trend has sufficient strength, not a ranging market
4. MACD Confirmation
MACD line above signal line
Histogram increasing (momentum accelerating)
5. Directional Movement
+DI > -DI
Confirms bullish directional pressure
Exit Logic
Positions are managed with ATR-based levels:
ParameterDefaultDescriptionStop Loss2.5 × ATRBelow entry priceTake Profit6.0 × ATRAbove entry priceTrailing Stop2.0 × ATROptional, activates after entry
The default configuration produces a 1:2.4 risk-reward ratio.
Presets
The strategy includes optimized presets based on historical testing:
PresetTimeframeNotes1H Standard1 HourMore frequent signals2H Low DD2 HourConservative settings3H Optimized3 HourBalanced approach4H Swing4 HourWider stops for swing tradesCustomAnyFull manual control
Select "Custom" to adjust all parameters manually.
Inputs Explained
EMAs
Fast EMA (20): Short-term trend
Slow EMA (50): Medium-term trend
Trend EMA (200): Long-term trend filter
RSI
Length: Lookback period (default 14)
Min/Max: Entry window to avoid extremes
ADX
Min ADX: Minimum trend strength threshold
Risk
Stop Loss ATR: Multiplier for stop distance
Take Profit ATR: Multiplier for target distance
Trail ATR: Trailing stop distance (if enabled)
Session (Optional)
Filter entries by time of day
Recommended OFF for 3H+ timeframes
What's Displayed
Info Panel (Top Right)
Current preset
Trend status (Strong/Wait)
ADX, RSI, MACD readings
Position status
Risk-reward ratio
Stats Panel (Top Left)
Net P&L %
Total trades
Win rate
Profit factor
Maximum drawdown
Chart
EMA lines (20 blue, 50 orange, 200 purple)
Green background during strong uptrend
Triangle markers on entry signals
Important Notes
⚠️ This is a long-only strategy. It does not take short positions.
⚠️ Historical results do not guarantee future performance. Backtests show what would have happened in the past under specific conditions. Markets change, and any strategy can experience drawdowns or extended losing periods.
⚠️ Risk management is your responsibility. The default settings risk 100% of equity per trade for backtesting purposes. In live trading, appropriate position sizing based on your risk tolerance is essential.
⚠️ Slippage and commissions matter. The backtest includes 0.02% commission and 1 tick slippage, but actual execution costs vary by broker and market conditions.
Best Practices
Test on your specific market — Results vary significantly across different instruments
Use appropriate position sizing — Never risk more than you can afford to lose
Combine with your own analysis — No indicator replaces understanding market context
Paper trade first — Validate the strategy matches your trading style before risking capital
Alerts
Two alerts are available:
MDZ Long Entry: Fires when all entry conditions are met
Uptrend Started: Fires when EMA stack first aligns bullish
Methodology
This strategy is based on the principle that trend continuation has better odds than reversal when multiple timeframe momentum indicators agree. By requiring five independent confirmations, it filters out weak setups at the cost of fewer total signals.
The ATR-based exits adapt to current volatility rather than using fixed pip/point targets, which helps the strategy adjust to different market conditions.
Questions? Leave a comment below.
Direction Bias [ Scalping-Algo ]======================================================================
// 📊 Direction Bias
// ======================================================================
//
// 🎯 What this indicator does:
// This indicator colors your candles based on the current market bias.
// 🟢 Green bars = bullish momentum
// 🔴 Red bars = bearish momentum
// ⚪ Gray bars = choppy or undecided market
//
// ⚙️ How it works:
// It uses a range filter that adapts to volatility. When price pushes
// above the filter and keeps moving up, you get green bars. When price
// drops below and continues down, you get red bars. The filter smooths
// out the noise so you don't get whipsawed on every little move.
//
// 📈 How to trade with it:
//
// 1️⃣ Follow the color
// 🟢 Green bars = look for longs only
// 🔴 Red bars = look for shorts only
// ⚪ Gray bars = stay out or reduce size
//
// 2️⃣ Entry timing
// ✅ Wait for color change from gray to green/red
// ✅ Enter on pullbacks while color stays the same
// ❌ Don't chase if you're late to the move
//
// 3️⃣ Exit signals
// 💡 When bars turn gray, tighten your stop or take profits
// 🔄 Color flip to opposite = close the trade
//
// 4️⃣ Best practices
// ⏱️ Works best on 1m to 15m charts for scalping
// 📍 Use with support/resistance levels for better entries
// 🚫 Don't trade against the color, even if you "feel" a reversal
// 📊 Combine with volume for confirmation
//
// 🔧 Settings:
// • Period: Higher = smoother but slower reaction (default 10)
// • Multiplier: Higher = less sensitive to small moves (default 4.0)
// • Adjust based on the asset you're trading
//
// 🔔 Alerts:
// Set alerts for "Bull" and "Bear" to get notified when bias changes.
Trade Confidence BoosterNOT FINANCIAL ADVICE. TRADE AT YOUR OWN RISK.
The Smart Day Trader’s and Scalpers Secret Weapon
Stop guessing. Start trading with confidence .
The Trade Confidence Booster is a comprehensive trading system that transforms chaotic price action into crystal-clear entry and exit signals. Built for day traders and scalpers who demand a clean, rule-based indicator with structure, clarity, and consistency — without clutter. This indicator combines institutional-level analysis with simple, actionable signals.
What Makes This Different?
While others chase random breakouts and get stopped out repeatedly, Trade Confidence Booster waits for the market to show its hand through the coveted "Confidence Candle" pattern - a powerful consolidation signal that appears within clear trends and explosive moves. This isn't another repainted indicator making false promises. It's a complete trading framework that shows you:
WHEN to enter (Confidence Candles + Entry Signals)
Also, WHEN to trim and lock in gains (3 Customizable Trim Tiers)
WHERE to exit (Dynamic and Customizable Trend Break Triggers)
HOW MUCH confidence to put into the trade (Confluence Scoring System)
Key Features
📊 Smart Trend Detection - Multi-layered trend analysis combining price structure, momentum, and volume that also has the ability to AVOID CHOP
💪 Confidence Candle Technology - Identifies low-risk, high-probability entry zones
🎯 7-Point Confluence System - Never guess if a setup is worth taking
📈 Clear Entry Signals - CALL/PUT labels complete with quality scores
💰 Automated Profit Management - Built-in trim levels with default settings at 0.35%, 0.80%, and 1.25% that are completely customizable
🛡️ Adaptive Trailing Stops - Protects profits while letting winners run with adjustable buffers that compliment your trading and risk style
📍 Multi-Timeframe Support Levels - Hourly S/R zones visible on any timeframe
📐 Dynamic Fibonacci Levels - Auto-adjusting to current trend
🔵 Opening Range Breakout (ORB) - Visually see three (3) days of Original Ranges based on your desired timeframe (default set at 15 minutes) and easily identify a breakout in either direction
📊 Volume Profile with POC - See where smart money is positioned
This indicator isn’t built try and predict the market — it’s designed to help you stay aligned with structure, avoid chop, and manage trades with discipline.
Trader Otto - Kinetic Flux [System]Unlocking the fear of trading behind institutional momentum shifts.
Trader Otto - Kinetic Flux is a proprietary momentum convergence system designed for traders who demand precision in volatile, fast-moving markets. By fusing proprietary volume-flow dynamics with a directional trend-following filter, this algorithm cuts through market noise to identify high-probability acceleration zones.
Unlike standard indicators that lag behind price, the Kinetic Flux engine analyzes the specific moment where institutional capital flow aligns with directional bias. It doesn't just tell you the trend; it tells you when the trend has enough kinetic energy to sustain the move.
🔥 **Key Features:**
**Protected Logic:** Complex statistical calculations are hidden behind a simple visual interface. No analysis paralysis—just clear, executable signals.
**Color-Coded Momentum System:**
- **Grey/Light Blue:** Neutral / No Trade Zone (Stay safe).
- **Deep Blue:** Bullish Entry Signal (Energy + Direction Aligned).
- **Green:** Established Bullish Momentum (Holding).
- **Deep Pink:** Bearish Entry Signal (Resistance + Flow Detected).
- **Red:** Established Bearish Momentum (Holding).
**Visual Triggers:**
- ✈️ **The Plane:** Confirmed Long Entry (Liftoff).
- ⚓ **The Anchor:** Confirmed Short Entry (Gravity Pull).
**⚙️ Multi-Mode Calibration (Adaptive):**
Instantly adjust the system's sensitivity to match your trading environment via the settings menu:
- **Standard:** Balanced calibration for general day trading and mixed markets.
- **Aggressive:** Tuned for high-volatility scalping and fast-moving indices (filters minor pullbacks).
- **Trend:** A slower, more robust filter designed for swing traders and intraday breakouts.
- **Volatility:** Optimized for explosive breakout setups inspired by classic momentum strategies.
**Volume Smoothing:** An optional fine-tuning parameter to reduce noise in low-liquidity environments.
💡 **How to Trade:**
Wait for the Pilot (✈️) or Anchor (⚓) symbol to appear on a confirmed bar close. The color change indicates the kinetic shift. Use "Trend" mode for higher timeframes (H1+) and "Aggressive" for scalping indices and volatile FX pairs.
⚠️ **Disclaimer:** This tool is for educational purposes. Past performance is not indicative of future results. Always manage your risk.
TRADERREVIEW GENERIC 200SMA 50/45 + ADX Filtersector trend trading based on % of stocks above their50 day moving average in the S&P500. Can speed up (more signals) or slow down (less signals) with ADX and hard stop on SMA.
Specifically designed to GET YOU IN WINNERS AND LET THEM RUN.
NICHI (NuwenPham's Ichimoku)NICHI (NuwenPham’s Ichimoku)
NICHI is a dual-engine Ichimoku indicator designed for modern, high-volatility markets.
It preserves a faithful traditional Ichimoku while introducing an advanced, filter-driven Ichimoku framework for research, visualization, and discretionary trading.
The goal of NICHI is not to replace Ichimoku — but to extend it.
Overview
NICHI includes two independent Ichimoku systems that can be enabled separately or together.
1. Standard Ichimoku
A clean, traditional Hosoda Ichimoku using Donchian midpoints:
Tenkan-sen (short period)
Kijun-sen (medium period)
Senkou Span A & B (forward displaced)
Chikou Span (lagging)
Design choice:
The Standard Ichimoku is intentionally plotted in a separate pane to avoid cluttering the price chart.
It serves as a reference / regime baseline, not a visual overlay.
2. Advanced Ichimoku
The Advanced system keeps the Ichimoku structure intact but replaces the Donchian calculations with selectable smoothing filters.
Each Ichimoku component (Tenkan, Kijun, Senkou B, Chikou) can be calculated using modern filters designed to handle volatility, noise, and regime shifts.
Supported filters include:
McGinley Dynamic (MD)
VWMA (exchange or tick-derived volume)
EMA / DEMA / SMA / SMMA / WMA
ALMA / LSMA / Hull MA
COVWMA / FRAMA / KAMA
50th Percentile
Moving Median
This allows Ichimoku to behave as:
A smoother trend system
A volatility-adaptive framework
A momentum-responsive overlay
Enhanced Cloud (Kumo) Modeling
Advanced Kumo logic includes:
Independent forward offsets for Span A and Span B
Bull / bear regime classification aligned with how the cloud is actually drawn
Adaptive cloud coloring
Neutral cloud state when spans disagree
This avoids misleading regime signals when different offsets are used.
Directional Persistence Tracking
NICHI tracks directional streaks for key components:
Tenkan direction
Kijun direction
Span A direction
Span B direction
These persistence counters stabilize coloring, reduce flicker, and improve visual clarity during transitions.
Bar Coloring Modes (Advanced)
Three bar-coloring frameworks are included.
Kumo-Based
Above cloud → bullish
Below cloud → bearish
Inside cloud → neutral
Tenkan / Kijun-Based
Above both → bullish
Below both → bearish
Chikou-Based
Chikou above past price → bullish
Chikou below past price → bearish
Each mode is intentionally distinct and serves a different trading style.
Moving Average Overlays
NICHI includes four optional moving average overlays (MA1–MA4):
Configurable type, length, width, and source
Intended for bias, confluence, or higher-timeframe context
Controlled as code-level constants by design
What Changed Since BETA
This release promotes NICHI from beta to stable with the following key improvements:
Chikou regime logic fixed:
Chikou comparisons now reference historical price only, eliminating any future lookahead behavior.
Kumo bull/bear alignment clarified:
Cloud regime classification now matches how the cloud is visually drawn when Span A and Span B use different forward offsets.
Kijun direction tracking corrected:
Kijun coloring now reflects Kijun movement, not Tenkan movement.
Bar coloring gated:
Bar coloring is applied only when Advanced Ichimoku is enabled, preventing unintended behavior when using Standard mode alone.
General stability and cleanup:
Minor bug fixes, consistency improvements, and documentation clarity.
Notes
Advanced Ichimoku is intended for research and visualization, not as a turnkey strategy.
Standard Ichimoku remains a faithful baseline.
If reporting issues, please include symbol, timeframe, and a screenshot.
Trend & Daily Bias ( Fractals)Daily Bias Indicator based on Williams Fractals
This indicator helps you determine your Daily Bias by combining two proven concepts: Williams Fractals for market structure and Follow-Through / Non-Follow-Through (FT/NFT) candle analysis.
What it does
The indicator identifies swing points using Williams Fractals and connects them with a Zig-Zag line to visualize market structure. It then analyzes the relationship between the two most recent closed candles to detect FT or NFT signals.
Bullish FT: Price closed above the Previous Day High → expect continuation higher
Bearish FT: Price closed below the Previous Day Low → expect continuation lower
Bullish NFT: Price swept below the Previous Day Low but closed back above it → failed breakdown, expect reversal higher
Bearish NFT: Price swept above the Previous Day High but closed back below it → failed breakout, expect reversal lower
Key Features
Automatic swing detection using Williams Fractals
Zig-Zag lines connecting swing highs and lows (Gann Swing style)
Dashed line showing the developing move from the last swing to the current extreme
FT/NFT signal detection based on closed candles (stable throughout the trading day)
Clean signal table in the corner of your chart
How to use
Add this indicator to your Daily chart. The signal table shows whether the most recent closed candle produced a Follow-Through or Non-Follow-Through pattern. Use this information to determine your directional bias for the trading day.
Bullish FT or Bullish NFT → Look for long setups
Bearish FT or Bearish NFT → Look for short setups
No Signal → Wait for clarity
Settings
Fractal Periods: Number of bars on each side to confirm a fractal (default: 2)
Show Swing Lines: Toggle the Zig-Zag lines on/off
Show Fractals: Toggle the fractal triangles on/off
Bullish/Bearish Swing Color: Customize line colors
Line Width: Adjust thickness of swing lines
Table Position: Move the signal table to any corner
Note
The FT/NFT detection uses the two previous closed candles , not the current candle. This ensures the signal remains stable and does not change while the current candle is still forming.
ML-Inspired Adaptive Momentum Strategy (TradingView v6)This strategy demonstrates an adaptive momentum approach using volatility-normalized trend strength. It is designed for educational and analytical purposes and uses deterministic, fully transparent logic compatible with Pine Script v6.
ML-Inspired Concept (Educational Context)
Pine Script cannot train or execute real machine-learning models.
Instead, this strategy demonstrates ML-style thinking by:
Converting price data into features
Normalizing features to account for volatility differences
Producing a bounded confidence score
Applying thresholds for decision making
This is not predictive AI and does not claim forecasting capability.
Strategy Logic
EMA is used to measure directional bias
EMA slope represents momentum change
ATR normalizes the slope (feature scaling)
A clamped score between −1 and +1 is generated
Trades trigger only when the score exceeds defined thresholds
Risk & Execution
Position size capped at 5% equity
Commission and slippage included for realistic testing
Signals are calculated on closed bars only
Purpose
This script is intended to help traders explore adaptive momentum concepts and understand how feature normalization can be applied in systematic trading strategies.
3CRGANG - DIVERSIFIED TREND INDICATOROverview
The "3CRGANG - DIVERSIFIED TREND INDICATOR" (DTI) is an advanced macro regime tool rooted in Victor Sperandeo’s timeless diversified trend approach, but fully evolved for modern global markets. It evaluates trend breadth and conviction by splitting the financial world into two critical layers:
Drivers (Rates, Commodities, FX): Leading macro forces that reflect liquidity, inflation expectations, and dollar dynamics.
Participation (US sector equities, Crypto, Emerging Markets): Risk assets that either confirm the macro signal through broad involvement or reveal dangerous divergences.
The indicator delivers normalized scores (-1 to +1) for each layer and offers three modes: Drivers only, Participation only, or Blended overlay. This framework helps traders instantly identify high-conviction regimes, leadership shifts, late-cycle warnings, early recovery signals or cautionary divergences—providing institutional-grade context in a single pane.
How It's Built: Core Concepts and Calculations
Methodology
Trend Determination: Each month, the indicator evaluates more than 30 key continuous futures contracts. It calculates the cumulative percentage price change over recent months and compares it to an exponential moving average (EMA) of the previous monthly returns.
The EMA places greater emphasis on more recent data, with weights decreasing steadily for older periods (summing to 100%).
An asset is considered:
In uptrend when the current cumulative change is at or above the EMA
In downtrend when below the EMA
Flat (neutral) for energy commodities (Uranium, Oil, Natural Gas) instead of downtrend—to avoid false bearish readings during supply-driven ranging periods.
Group scores are combined using balanced weighting:
Drivers integrate Rates, a GDP-weighted FX basket, and Commodities (with adaptive handling when energy is neutral).
Participation uses inverse-volatility weighting across equities, crypto, and emerging markets to reduce the influence of overly noisy assets.
Final DTI values range from -1 (strong bearish breadth) to +1 (strong bullish breadth), with added context based on magnitude, speed of change, and prior direction.
Why It's Useful
Single-market trends often mislead in interconnected environments. DTI delivers immediate macro clarity:
Are rising yields pressuring risk assets? → divergence = caution
Is dollar strength suppressing commodities while equities surge? → potential regime shift
Is participation narrowing in a mature bull? → late-cycle distribution
Traders use it to confirm higher-timeframe bias, detect leadership changes (e.g., commodities leading = inflation), and avoid fighting strong macro drivers without risk-asset confirmation.
How to Use It
Apply in a separate pane.
Select DTI Mode :
DRIVERS → classic macro leadership view
PARTICIPATION → risk-on/risk-off scope
BLENDED → spot alignment vs divergence
Choose Output Mode :
TABLE → detailed dashboard with icons, weights, contributions, and score cell tooltips explaining current regime (e.g., "RAPID TIGHTENING", "STRONG USD DOMINANCE")
HISTOGRAMS → visual comparison with intelligent nesting (weaker bar nests inside stronger when aligned)
PLOTS → individual group lines with clustered labels
Adjust table position to fit your layout.
Interpretation: Scores near ±1 indicate high-conviction regimes; divergences between layers often precede turns.
Why It's Unique and Worth Invite-Only Access
Many breadth and intermarket tools are available, but few combine classic macro leadership with modern risk-asset participation in one clean system:
Sperandeo-inspired macro leadership fused with modern risk-asset participation
Custom recency-focused EMA weighting optimized across 30+ diverse contracts
GDP-weighted FX basket + inverse-vol participation scaling
Energy-specific neutral logic + adaptive commodity redistribution
Smart histograms and clear regime tooltips.
The result is reliable, low-noise macro context developed to deliver genuine institutional insight. Protecting the exact methodology ensures the edge remains exclusive to dedicated traders who value precision and originality.
Renko Power Trend + Wick Finder ZonesThis indicator combines dual Renko trend confirmation with wick-based supply and demand zones to identify high-probability buy and sell opportunities.
It is designed to:
Trade only strong trends
Avoid choppy / sideways markets
Highlight key support and resistance zones
Provide clear entry, exit, and trend context
TRENDSNIPER(4ZONES)[NETSGAIN]
TRENDSNIPER(4ZONES)
TrendSniper(4zones) is a structured trend-context indicator designed to help traders identify where meaningful opportunity exists — and where it does not.
Rather than forecasting price or forcing entries, TrendSniper focuses on market conditions, visually separating trending environments from neutral or overextended states. This framework allows traders to operate with clarity, patience, and consistency — especially in volatile markets.
The indicator is built to reduce decision pressure and emotional interference by clearly defining zones of trend alignment, neutrality, and risk-elevated extension.
Markets do not offer opportunity at all times.
TrendSniper’s purpose is to filter the market into four distinct behavioral zones, allowing traders to align their actions with the prevailing context instead of reacting impulsively to short-term price movement.
The indicator is non-repainting and fully rule-based.
🟦 Bullish Trend Zone (Blue)
Market structure is aligned to the upside
Trend conditions favor long continuation
Designed to support trend participation, not prediction
🟥 Bearish Trend Zone (Red)
Market structure is aligned to the downside
Trend conditions favor short continuation
Highlights bearish control rather than entry timing
⬜ Neutral Zone (Gray)
No structural edge present
Trend alignment is unclear or transitioning
Often a zone for risk management, trade review, or standing aside
🟨 Overextended Zone (Yellow)
Price has moved significantly relative to recent volatility
Trend may still exist, but risk is elevated
Intended as a cautionary state rather than a hard prohibition
TrendSniper includes a single adjustable parameter:
Overextension Filter
This setting controls how strictly extended moves are filtered.
Lower values (e.g. 0.20)
→ Stricter filtering
→ Overextended zones appear more frequently
Higher values (e.g. 0.30)
→ Looser filtering
→ Overextended zones appear less frequently
This allows users to adapt the indicator to different volatility conditions and personal risk tolerance while preserving the core logic.
Primary market focus: Crypto (BTC, ETH — spot or futures)
Recommended timeframe: 4H
Can be used on other symbols and timeframes, but behavior is optimized for crypto market structure
TrendSniper is best used as a context framework, not a standalone entry system.
It helps traders decide when to engage, when to manage risk, and when to wait.
TrendSniper is intentionally minimal.
It does not:
Force entries
Predict reversals
Encourage overtrading
Instead, it provides visual structure so traders can:
Stay aligned with dominant trends
Avoid low-quality conditions
Reduce FOMO-driven decisions
Focus on larger, cleaner moves
This makes the indicator suitable for both beginners and experienced traders, as it communicates market state clearly without complexity.
TrendSniper is not about speed.
It is about precision, patience, and alignment.
Trend conditions are identified first — execution decisions remain with the trader.
Trend is your friend — but only when conditions are clear.
This indicator is provided for informational and educational purposes only.
It does not constitute financial, investment, or trading advice.
All trading decisions made using this indicator are the sole responsibility of the user.
Past performance is not indicative of future results. Trading involves risk.
