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
Análise de Tendência
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.
Super Regression Trend█ OVERVIEW
Super Regression Trend is an advanced trend-following indicator that combines classic linear regression with a SuperTrend mechanism based on RMSE (Root Mean Square Error). Instead of traditional ATR, it uses price deviations from the regression line, allowing for highly precise adaptation to current market volatility. The indicator is clean, dynamic, and equipped with optional risk management tools — automatic Take Profit and Stop Loss levels displayed after each trend reversal signal. Perfect for traders seeking solid trend confirmation with built-in position management support.
█ CONCEPT
The indicator was created to combine the advantages of linear regression (smooth trend tracking) with the reliability of the SuperTrend mechanism (trailing stop).
The key element is calculating RMSE based on deviations of the source price from the regression line over a specified period. The band around the regression (RMSE × multiplier) creates dynamic, trailing upper and lower levels. The trend changes only after price closes beyond this band — this allows the indicator to react quickly to new impulses while effectively filtering noise and false breakouts in consolidation.
█ FEATURES
Data source:
- Source price (default: close)
- Regression Length
Calculations:
- Linear regression line (ta.linreg)
- RMSE of deviations within the length window
- Upper and lower bands: regression ± (RMSE × Multiplier)
Trailing mechanism:
Levels are “pulled” in the direction opposite to the trend (minimized/maximized)
Trend change logic:
- Down → Up: close > upper band
- Up → Down: close < lower band
Visualization:
- SuperTrend line with breaks at reversal points
- Optional gradient fill between SuperTrend line and regression
- Optional bar coloring based on current trend
- “Buy” labels (green upward arrow) and “Sell” labels (red downward arrow) only on confirmed trend changes
Risk management:
- Optional automatic TP1/TP2/TP3 and SL levels after each signal
Two calculation modes:
- Candle Multiplier – multiplier of average candle body size (SMA(|open–close|))
- Percentage – percentage of the signal close price
Levels drawn as short horizontal lines
Persistent table in the top-right corner with current TP/SL values
Alerts:
- Buy Signal – triggers only on confirmed uptrend change
- Sell Signal – triggers only on confirmed downtrend change
█ HOW TO USE
Add to chart → paste the code in Pine Editor or search for “Super Regression Trend”.
Main settings:
- Regression Length → default 20 (regression window length)
- RMSE Multiplier → default 2 (key sensitivity parameter)
- Show SuperTrend Line / Fill to Regression / Color Bars → visual options
- Show TP/SL Levels → enable/disable risk management tools
- TP/SL Calculation Mode → “Candle Multiplier” or “Percentage”
- Multipliers/percentages for TP1–TP3 and SL → fully customizable
Interpretation:
- Green line and shading = uptrend
- Red line and shading = downtrend
- Higher RMSE Multiplier = fewer signals, higher quality
- Lower Multiplier = faster reaction, more signals (aggressive mode)
█ APPLICATIONS
Excellent for:
- Classic trend-following (enter with trend, exit on reversal)
- Momentum and breakout strategies
- Automated position management with optional TP/SL levels
Best combined with:
- Support/resistance levels, Pivot Points, psychological round numbers
- Confirmation from oscillators (RSI, Stochastic, MACD)
- Volume or volume profile analysis
Style adaptation:
- Scalping / daytrading → shorter regression length (10–20) and lower Multiplier (1.5–2.0)
- Swing / longer-term positions → longer regression (30–50) and higher Multiplier (2.0–3.0)
█ NOTES
- Works on all markets and timeframes
- Effectiveness depends on matching the RMSE Multiplier to the instrument’s volatility
- Higher Multiplier and Length values = fewer, but significantly more reliable signals
Institutional Confluence Mapper [JOAT]Institutional Confluence Mapper (ICM)
Introduction
The Institutional Confluence Mapper is an open-source multi-factor analysis tool that combines five analytical modules into a unified confluence scoring system. It synthesizes institutional trading concepts including Relative Rotation analysis, Smart Money flow detection, Liquidity zone mapping, Session-based timing, and Volatility regime classification.
Rather than relying on a single indicator, ICM evaluates market conditions through multiple lenses simultaneously, presenting a clear confluence score (0-100%) that reflects the alignment of various market factors.
This script is fully open-source under the Mozilla Public License 2.0.
Originality and Purpose
This indicator is NOT a random mashup of existing indicators. It is an original implementation that creates a unified institutional analysis framework:
Why Multiple Modules? Most retail traders struggle because they rely on single indicators that provide conflicting signals. Institutional traders evaluate markets through multiple frameworks simultaneously. ICM bridges this gap by providing a unified view of complementary analysis methods.
The Confluence Scoring System: Each module contributes to a weighted confluence score (0-100%). Scores above 65% indicate bullish confluence; below 35% indicates bearish confluence.
How Components Work Together:
RRG (Relative Rotation) determines macro bias - is this asset outperforming or underperforming its benchmark?
Institutional Flow confirms smart money activity - are institutions accumulating or distributing?
Volatility Regime determines strategy selection - trend-follow or mean-revert?
Liquidity Detection identifies key levels - where are the stop hunts happening?
Session Analysis optimizes timing - when should you trade?
The Five Core Modules
1. Relative Rotation Momentum Matrix (RRG)
Compares the current symbol against a benchmark (default: SPY) using the JdK RS-Ratio methodology with double-smoothed EMA. Assets rotate through four quadrants:
LEADING: Outperforming with positive momentum (strongest bullish)
WEAKENING: Outperforming but losing momentum
LAGGING: Underperforming with negative momentum (strongest bearish)
IMPROVING: Underperforming but gaining momentum
2. Institutional Flow Analysis
Analyzes volume patterns to detect smart money activity:
Volume Z-Score measures how unusual current volume is
Buy/Sell pressure estimation based on candle structure
Unusual volume detection highlights institutional activity
3. Volatility Regime System
Uses ATR percentile ranking to classify market conditions:
COMPRESSION: Low volatility (ATR < 20th percentile) - potential breakout
EXPANSION: High volatility (ATR > 80th percentile) - trending
TRENDING_BULL/BEAR: Directional trends based on EMA alignment
RANGING: Sideways consolidation
4. Liquidity Detection
Identifies institutional liquidity targets using swing point analysis:
Swing highs/lows are tracked and displayed as dashed lines
Purple dashed lines mark resistance/sell-side liquidity
Teal dashed lines mark support/buy-side liquidity
Gold diamonds appear when liquidity sweeps are detected (potential reversals)
5. Session Momentum Profiler
Tracks trading sessions based on your selected timezone:
Asian Session: 7PM - 4AM EST
London Session: 3AM - 12PM EST
New York Session: 9:30AM - 4PM EST
London/NY Overlap: 8AM - 12PM EST (peak liquidity)
Visual Elements
Main Dashboard (Top-Right):
BIAS: Overall direction with confluence percentage
RRG: Current quadrant and momentum
FLOW: Smart money bias and volume status
REGIME: Market condition and volatility percentile
SESSION: Active trading session and current time
LIQUIDITY: Active zones and grab signals
SIGNAL: Actionable recommendation
Chart Elements:
Gold Diamond: Liquidity grab (potential reversal point)
Teal Dashed Line: Support / Buy-side liquidity zone
Purple Dashed Line: Resistance / Sell-side liquidity zone
EMA 21/55/200: Trend structure with cloud fill
Volatility Bands: ATR-based channels
How to Use
Step 1: Check the BIAS row for overall market direction
Step 2: Check REGIME to understand market conditions
Step 3: Identify key levels using liquidity zones and EMAs
Step 4: Wait for confluence above 65% (bullish) or below 35% (bearish)
Step 5: Look for gold diamond signals at key levels
Best Setups
Bullish: Confluence >65%, RRG in LEADING/IMPROVING, bullish flow, price near teal support zone.
Bearish: Confluence <35%, RRG in LAGGING/WEAKENING, bearish flow, price near purple resistance zone.
Reversal: Gold diamond appears after price sweeps a liquidity zone.
Key Input Parameters
Benchmark Symbol: Compare against (default: SPY)
RS-Ratio/Momentum Lookback: RRG calculation periods
Volume Analysis Period: Flow detection lookback
Swing Length: Liquidity zone detection
ATR Period/Rank Period: Regime classification
Timezone: Session detection timezone
Alerts
Liquidity Grab Bull: Bullish sweep detected
Liquidity Grab Bear: Bearish sweep detected
High Confluence Bull: Confluence above 70%
High Confluence Bear: Confluence below 30%
Best Practices
Use on 1H, 4H, or Daily timeframes for reliable signals
Combine with price action for confirmation
Respect the regime - don't fight strong trends
Trade during London/NY overlap for best liquidity
Wait for high confluence scores before entering
Always use proper risk management
Limitations
Works best on liquid markets with sufficient volume
Session features optimized for forex/crypto markets
RRG requires a valid benchmark symbol
No indicator predicts the future - use proper risk management
Disclaimer
This indicator is for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Past performance does not guarantee future results.
-Made with passion by officialjackofalltrades
MidZone Breakout Pro 🚀 MidZone Breakout Pro — Smart Balance Zone Signals
🧭 Equilibrium-Based Market Insight
MidZone Breakout Pro identifies key balance levels in the market and highlights directional opportunities when price decisively moves away from equilibrium.
📐 Dynamic Midpoint Zone Mapping
Automatically plots a central price balance zone derived from recent market ranges, helping traders visualize fair value and expansion areas.
🎯 Clear Buy & Sell Signals
Generates clean bullish and bearish signals when price exits the balance zone with momentum.
🎨 High-Visibility Zone Visualization
Color-coded zones, background shading, and bold signal markers provide instant clarity without chart clutter.
🎚 Customizable Sensitivity
Adjustable lookback period and zone width allow seamless adaptation across scalping, intraday, and swing trading.
🕰 Non-Repainting Signals
All signals are calculated using confirmed price action and remain stable on historical charts.
⚡ Lightweight & Fast Performance
Optimized design ensures smooth performance across all instruments and timeframes.
🛠 How to Use (Safe Version)
📉 **Buy Signal**: Appears when price moves strongly above the balance zone
📈 **Sell Signal**: Appears when price moves strongly below the balance zone
🟨 **Neutral Zone**: Indicates consolidation or equilibrium conditions
Best used in combination with trend direction, support/resistance, or volume confirmation.
⚠️ Disclaimer: This indicator is for educational and analytical purposes only. It does not provide financial advice. Always apply proper risk management.
DEMA MACD BUY signal confirmationDEMA MACD – Trend Continuation Signals
Okay I made this script and wrote this description using AI. I was inspired by the HAP MACD indicator so I made signal confirmation indicator based on that.
This indicator is a momentum-based signal tool built around a DEMA MACD model.
It is designed to help identify potential continuation entries within an existing trend.
Important notes
This indicator works best in clear uptrend conditions.
It is not suitable for consolidation or downtrend markets.
Higher timeframes (Daily / Weekly) generally provide more reliable signals than lower timeframes.
Signals
BUY
Indicates a potential entry in the direction of the current trend.
SELL
Indicates an exit from the previous BUY.
This is not a short or sell-to-open signal.
Usage
Use this tool as a confirmation, not as a standalone decision maker.
Always consider overall market context and basic price structure.
Risk management is essential.
This indicator is shared for educational purposes and reflects one possible approach to trend continuation trading.
Auto Fibo Pivot [Ultimate MTF]Stocks: Locks lines during market hours (09:00-15:30) and switches to "Preview Mode" (Next Day) after market close.
Forex/Crypto: Always Fixed Mode (24h).
Multi-Timeframe (MTF): Select between Auto Daily, Weekly, Monthly, or Yearly pivots.
Fully Customizable: Easily change Fibonacci ratios and colors in the settings.
No Repaint: Stable lines on 1-minute charts.
自動判別・マルチタイムフレーム対応のフィボナッチピボット
株・為替を自動判別し、最適なモードで動作する実戦向けインジケーターです。
主な機能:
自動判別機能:
日本株: ザラ場中はラインを完全固定。15:30以降は自動で「明日の予習モード」に切り替わります。
為替・仮想通貨: 24時間常時固定モードで動作します。
SAMIR-Pattern Detector: (Debug Mode)fractal pattern to descover movment action then apply fibo on the pattern
Step Channel█ OVERVIEW
"Step Channel" is a technical analysis indicator that builds a dynamic price channel based on market volatility (ATR) and a step-like logic for updating levels. It is ideal for traders using market structure analysis, price action, as well as trend-following, range-bound, and breakout strategies.
Thanks to the adjustable channel width, the indicator can be easily adapted to various instruments, timeframes, and trading styles – from scalping to swing trading.
█ CONCEPTS
The indicator is a universal trading tool that supports trend detection, trading in consolidation, and breakout-based strategies.
The key feature is the step-like update of the baseline (MID). Unlike classic moving averages:
- the MID line does not react to every candle
- it updates only after breaking a volatility-based level
- each breakout creates a new "step" in the market structure
This keeps the market structure clear, with regime changes being distinct and objective.
█ FEATURES
ATR-based dynamic channel
The channel width automatically adjusts to current volatility – widening during high-activity periods and narrowing in consolidations, ensuring constant adaptation to market conditions.
Structural MID line
Central, adaptive trend line updated in steps after a breakout.
Inner levels (IN)
The zone of typical price movement within the structure. These levels change only after a sustained breakout confirmed by candle close – this exact breakout generates the structural signals (Step UP/DOWN).
Outer levels (OUT)
An orientational zone indicating the potential reach of a strong, single price move beyond the current structure. Price never stays in this zone (levels shift immediately after breaking IN). Primarily used as:
- main take-profit levels
- dynamic SL in aggressive strategies
Structural signals
Generated exclusively at the moment of a real structure change:
- Step UP – upside breakout
- Step DOWN – downside breakout
Signals appear only on the breakout candle.
Built-in alerts
Instant notifications for:
- Step UP
- Step DOWN
█ HOW TO USE
Adding to the chart
Search in the TradingView indicators library: "Step Channel" or paste the code in Pine Editor.
Key parameter configuration:
- ATR Length – longer value = more stable structure (fewer signals)
- Inner Multiplier – sensitivity of inner levels (lower = narrower operational channel)
- Outer Multiplier – reach of outer extremes (higher = further TP)
- Price position interpretation:
- near MID → market equilibrium, potential consolidation
- in IN zone → healthy, controlled trend move
- in OUT zone → only an orientational target for extreme move (price does not stay in this zone)
█ APPLICATIONS
- Trend strategies – entries after Step UP/DOWN signal in the direction of the new trend, re-entry at MID, trailing stop along MID; generally positions only in line with the current structure direction
- Range trading – buying at lower IN/OUT and selling at upper IN/OUT in the absence of structure change
- Breakout strategies – entries on breakout candle close with volume or HTF confirmation
- Position management – SL behind MID or opposite IN, TP at OUT (full) or IN (partial)
- Scalping on low timeframes – quick trades inside the IN channel with tight SL
- Swing trading – trend filtering on HTF and precise entries on LTF after structural signal
█ NOTES
- works on all markets and timeframes
- requires individual adjustment of multipliers to the instrument and trading style
- recommended to use with additional indicators, e.g. RSI, Fibonacci, pivots
Gold Pullback Precision ProGold Pullback Precision Pro
EMA slope + pullback strategy designed for gold scalping. Combines trend confirmation (slopes) with precise entries (pullbacks), filtered by HTF direction, volume, and RSI. Shows clear BUY/SELL signals with comprehensive dashboard.
[codapro] Projection Bands Description
Projection Bands is a visual forecasting tool designed to help traders anticipate potential breakouts and breakdowns before they occur.
Unlike traditional lagging overlays, this indicator uses forward slope estimation, pressure-adjusted volatility, and band expansion models to project likely price zones over time.
Whether you're momentum trading or watching for reversion signals, this system provides a powerful forward-looking edge.
Key Features
Forward Slope Logic using price regression and return-based momentum
Pressure Modeling Input (0–100) to simulate contrarian or trending environments
Volatility-Based Band Expansion using both return sigma and ATR
Live Re-Anchoring every 30 minutes for fresh projection pivots
Customizable Band Width Scaling (Square Root of Time vs Linear)
Optional Band Trail for historical projection reference
Buy/Sell Signals with directional logic, not reversals
Buy/Sell Signals
Sell: Price closes below the lower projection band
Buy: Price closes above the upper projection band
Signals trigger only on confirmed candle closes beyond the outer boundaries.
Default Settings (Optimized)
Setting Value
Projection Horizon 180 minutes
Bars Ahead (Forecast Span) 20 bars
Re-Anchor Interval 30 minutes
Projection Mode Momentum
Contrarian Weight 0.5
Momentum Weight 0.5
Band Width Scaling Linear
Return Volatility Multiplier 0.25
ATR Volatility Multiplier 1.0
Pressure Influence Multiplier 0.5
ATR Multiplier (Step Size) 1.0
Return Multiplier (Step Size) 1.0
Dummy Pressure 50
How It Works
This system blends multiple components into a forward projection engine:
Forward Slope Logic
The projected band centerline is based on:
A weighted regression of return-based momentum, and
A contrarian pressure adjustment using ATR or log-return volatility.
This hybrid model allows the bands to lean into or away from trend direction, unlike standard overlays that lag behind price.
Pressure Modeling
The Pressure input (0–100) modifies the projection behavior:
Low pressure (0–30): favors trend continuation
High pressure (70–100): favors contrarian pullback logic
Mid-range (around 50): balanced projection
Pressure affects both the forecast slope and volatility expansion.
Volatility Width Scaling
Band width expands over time using a combination of:
Return volatility (standard deviation of log returns)
ATR volatility for smoother baseline context
The band expansion can follow either:
Square Root of Time (for options-style risk scaling), or
Linear Growth (more aggressive for trending environments)
As volatility rises , the projected bands widen, reflecting an expanding range of possible future price movement.
How to Use It
Use for breakout anticipation or volatility modeling.
Watch for price closes outside the band boundaries as a signal for potential movement continuation.
Adjust pressure to simulate market regime: trend vs mean-reversion.
Customize bars ahead and re-anchor interval to match your timeframe.
Use alongside structure or volume tools for greater confluence.
Disclaimer
This tool was created using the CodaPro Pine Script indicator design engine — an architecture system for building visual signal overlays and automated alerts.
It is provided for educational and informational purposes only and does not constitute financial advice. Always test thoroughly before applying to live market conditions.
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.
1H ETH Volume Breakout [ADX Filtered]Title: 1H ETH Volume Breakout w/ ADX Filter
Description:
🚀 Strategy Overview
This strategy is a high-precision Volatility Breakout system designed specifically for Ethereum (ETH) on the 1H timeframe. It focuses on catching explosive moves while aggressively filtering out market noise and "chop" to protect capital.
Unlike standard breakout strategies that get wrecked in sideways markets, this script uses a multi-layer confirmation system (Volume + Trend + Momentum + ADX) to ensure high-probability entries.
🧠 The Logic (How it works)
Keltner Channel Breakout: We use Keltner Channels (Length 22, Multiplier 2.0) instead of Bollinger Bands because they adapt better to ETH's unique volatility, reducing fake-outs.
Volume Confirmation: A trade is only taken if the current volume spikes above the moving average. "No Volume = No Trade."
Trend Filter (220 EMA): We only trade Long when price is above the 220 EMA, and Short when below. We trade with the dominant trend, never against it.
The "Chop Killer" (ADX Filter): An added ADX filter ensures the trend has real strength before entering. If the market is flat (ADX < 20), the strategy sits on the sideline.
🛡️ Risk Management (The "Fee Crusher")
Dynamic Stop Loss: Uses ATR (4.0) to give trades room to breathe without getting wicked out.
Trailing Stop: Activates after a 3% gain to lock in profits during big pumps.
Money Management: Includes a built-in Compounding feature (Optional).
⚙️ Recommended Settings
Coin: ETH/USD or ETH/USDT
Timeframe: 1 Hour (1H)
Leverage: 2x (Recommended)
Exchange Fees: Tuned for 0.1% fees.
⚠️ Disclaimer
Past performance is not indicative of future results. Please backtest with your own exchange settings before using real capital. This is an open-source tool for educational purposes.
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
SMC Buy and Sell Signals By Amit NamdeoSMC Buy and Sell Signals
Overview
The SMC Buy and Sell Signals indicator is a comprehensive trading tool designed to identify high-probability setups based on Smart Money Concepts (SMC) and Market Structure principles. It automates the detection of structural breaks—specifically Break of Structure (BOS) and Change of Character (CHoCH)—to generate clear Buy and Sell signals.
Beyond simple signal generation, this tool assists with trade management by automatically projecting Stop Loss (SL) and three distinct Take Profit (TP) levels immediately after a breakout is confirmed, helping traders maintain a disciplined Risk-to-Reward ratio.
Key Features
Automated Market Structure Identification:
The script dynamically identifies Pivot Highs and Pivot Lows based on a user-defined Swing Size.
It differentiates between trend continuations (BOS) and potential trend reversals (CHoCH).
Buy & Sell Signals:
Bullish Signal: Generated when price breaks above a valid structural high.
Bearish Signal: Generated when price breaks below a valid structural low.
Dynamic Trade Management (Auto TP & SL):
Upon a signal, the indicator immediately plots an Entry, Stop Loss, and 3 Take Profit levels.
TP1 (Conservative): Closest target.
TP2 (Moderate): Middle target.
TP3 (Aggressive): Furthest target based on a 1:3 Risk/Reward profile relative to the calculated volatility.
Live Statistics Dashboard:
A table displayed on the chart tracks the performance of the signals in real-time, showing the Total Signals generated and the Win Rate for hitting TP1, TP2, and TP3.
Visual Trend Confirmation:
Candles are colored based on the active trade status (Bullish Green or Bearish Red), making it easy to identify the current market bias at a glance.
Comprehensive Alerts:
Fully integrated alerts for Signal detection, TP hits, and SL hits, allowing for automated trading notifications.
How It Works
Pivot Detection: The indicator looks back and forward a specific number of bars (defined by Market Structure Time-Horizon) to find significant high and low points.
Breakout Confirmation: You can choose to confirm a breakout based on the Candle Close (more conservative) or the Wick (more aggressive).
Level Calculation:
The distance for targets is calculated based on the volatility of the breakout move.
SL is placed just below/above the breakout structure.
TPs are projected in the direction of the breakout using a tiered structure.
Settings
Market Structure Time-Horizon: Adjusts the sensitivity of the pivot detection. Higher numbers result in fewer but more significant signals (swing trading); lower numbers are better for scalping.
BOS Confirmation Type:
Candle Close: Price must close beyond the structure to trigger a signal.
Wicks: A wick piercing the structure triggers a signal.
Show CHoCH: Toggles the specialized labels for Change of Character (trend reversals).
Visualization: Fully customizable colors for Bullish and Bearish setups.
How to Use
Trend Trading: Use BOS signals to add to positions in the direction of the prevailing trend.
Reversal Trading: Watch for CHoCH labels to catch early trend reversals.
Risk Management: Use the projected SL and TP lines to set your orders. The statistics table will help you understand the probability of price reaching TP1 vs TP3 on the current asset/timeframe.
MATATABI SP Ver.1Specifications & Features
This indicator is a comprehensive tool designed to monitor trend inception (Squeeze), key reversal zones (Smart SR), and market context (Range Analysis) on a single chart. It is updated for Pine Script v6.
1. 10 Moving Averages (MA)
Spec: Displays a total of 10 Moving Averages.
Defaults: All set to EMA (Exponential Moving Average) with periods 20, 25, 30, 35, 40, 45, 50, 55, 60, 65 (increments of 5).
Customization: Period, type (SMA, EMA, SMMA, WMA), color, and width for each line can be adjusted in the settings.
Visibility: MA01-MA08 are visible by default; MA09-MA10 are hidden by default.
2. MA Squeeze Detection Alert
Feature: Detects when all 10 MAs contract (cluster together) and flatten out, indicating potential energy buildup for a move.
Behavior: No background color change on the chart; it functions purely as an Alert condition configurable in TradingView.
Logic: Triggered when the spread between the highest and lowest MA is below a specific ATR threshold AND the slope of the longest MA is near zero.
3. Smart Support & Resistance (Smart SR)
Zone Display: Draws Support/Resistance as zones (bands) rather than thin lines. The width adapts automatically based on volatility (ATR).
Auto-Removal on Break: When price breaks through a zone, the line stops extending to the right automatically. This ensures only currently active/unbroken levels remain visible on the chart.
Significance Filter: Filters out minor noise, using a longer Pivot length (15) to identify only significant peaks and troughs. It also prevents drawing duplicate zones near existing ones.
Multi-Timeframe (MTF): Can display SR zones from a higher timeframe (e.g., 4H SR on a 15m chart) alongside current timeframe zones.
4. Range Analysis
Range Detection: Visualizes consolidation areas (boxes) based on price deviation and volume analysis.
Info Dashboard: Displays a table (top-right) showing the range strength and a statistical "Directional Probability (Bullish/Bearish %)" for the potential breakout.
Breakout Signals: Highlights the box border and triggers alerts when price breaks out of the detected range.
仕様と特徴
このインジケーターは、トレンドの初動（スクイーズ）、重要な反発ポイント（レジサポ）、**現在の相場環境（レンジ解析）**を1つのチャートで監視するための複合ツールです。Pine Script v6に対応しています。
1. 10本の移動平均線 (MA)
仕様: 合計10本の移動平均線を表示します。
初期設定: すべて**EMA（指数平滑移動平均線）**で、期間は 20, 25, 30, 35, 40, 45, 50, 55, 60, 65（5刻み）に設定されています。
カスタマイズ: 各ラインの期間、種類（SMA, EMA, SMMA, WMA）、色、太さは設定画面から変更可能です。
表示制御: MA01〜MA08はデフォルトで表示、MA09〜MA10は非表示設定です。
2. MA収縮（スクイーズ）検知アラート
特徴: 10本のMAが密集し、かつ傾きが平坦になった状態（エネルギーが溜まっている状態）を検知します。
動作: チャートの背景色は変更せず、アラート通知のみを行う仕様です（設定画面でアラート条件を作成可能）。
判定ロジック: 「MA全体の最大幅がATRの一定倍率以下」かつ「長期MAの傾きがほぼゼロ」の場合に検知します。
3. スマート・レジサポ (Smart Support & Resistance)
ゾーン表示: 単なる線ではなく、価格帯（ゾーン）として描画されます。幅はボラティリティ（ATR）に基づいて自動調整されます。
ブレイクで自動消去: 価格がゾーンを実体でブレイク（上抜け/下抜け）すると、そのラインは「役割を終えた」と判断され、右側への延長が自動的に停止します。これにより、チャート上には「現在有効なレジサポ」のみが残ります。
重要度フィルター: 小さな値動きを除外し、目立つ山や谷（Pivot期間15）のみを抽出して描画します。また、既存のラインと近い場合は重複して描画しません。
マルチタイムフレーム (MTF): 現在足のレジサポに加え、上位足（例: 15分足チャートに4時間足のレジサポ）を同時に表示可能です。
4. レンジ解析 (Range Analyzer)
レンジ検出: 価格の乱高下と出来高を分析し、レンジ相場をボックスで可視化します。
情報テーブル: チャート右上に、レンジの強度や、過去の統計に基づいた**「ブレイク方向の確率（強気/弱気 %）」**を表示します。
ブレイクアウト: レンジを抜けた際に、ボックスの色を変化させ、アラートを通知します。
Supply & Demand (MTF) [Bearly Invested]Overview
This multi-timeframe supply and demand zone indicator identifies institutional price areas using a unique "Last 2 Opposite Candles" methodology. Unlike traditional support/resistance indicators, this script detects zones by analyzing momentum-based impulse moves and marking the base formed by the last two opposite-colored candles before the displacement.
How It Works
Zone Detection Logic
The indicator identifies supply and demand zones through a four-step process:
Momentum Detection: Monitors for consecutive candles with body sizes exceeding the 20-period average body size by a configurable multiplier (default 0.5x)
Impulse Confirmation: When the required number of momentum candles (default: 4 candles within 4-bar span) is detected, the script identifies a potential impulse move
Base Identification: Looks back through all consecutive momentum bars, then scans up to 50 bars to find the last two opposite-colored candles that formed before the impulse
Zone Creation: Creates a supply/demand zone using the combined high and low of those two opposite candles
Multi-Timeframe Analysis
The indicator supports up to three simultaneous timeframes, allowing you to identify higher timeframe zones while trading on lower timeframes. Each timeframe independently calculates zones using its own momentum criteria, providing confluence when multiple timeframe zones align.
Zone Combination Feature
When "Combine Zones" is enabled, overlapping zones from different timeframes or detection instances are automatically merged into single zones. Combined zones display all contributing timeframes in the label (e.g., "15 Min & 30 Min").
Zone Management
Invalidation Methods
Choose between two zone invalidation approaches:
Wick: Zone remains valid until price wicks through the boundary
Close: Zone remains valid until a candle closes through the boundary
Zone Filtering
The script includes built-in filters to reduce noise:
Minimum zone size requirement (10 bars on detection timeframe)
Maximum zone size limit (1.5x ATR)
Minimum 5-bar cooldown between new zone detections
Distance-based filtering (zones beyond max lookback are hidden)
Key Features
Retest & Break Detection
Retests: Automatically marks when price retests an active zone with "R" labels
Breaks: Optionally displays "B" labels when zones are invalidated
Built-in cooldown system prevents label spam (5-bar minimum between retests)
Alert Conditions
Four alert types are included:
Supply Zone Retest
Demand Zone Retest
Supply Zone Break
Demand Zone Break
Configuration Guide
General Settings
Zone Count: High (30 zones), Medium (5), Low (3), or One (single most recent zone per type)
Momentum Count: Number of consecutive momentum candles required (default: 4)
Momentum Span: Maximum bars to scan for momentum confirmation (default: 4)
Max Lookback For Opposite Candles: How far back to search for base candles (default: 50)
Max Distance To Last Bar: Controls historical zone visibility (High: 1250 bars, Normal: 500, Low: 150)
Timeframe Configuration
Enable up to three timeframes simultaneously. When multiple timeframes show the same value (e.g., chart timeframe), duplicate detection automatically disables redundant calculations.
Visual Options
Customizable supply/demand colors with transparency
"Show Historic Zones" toggles visibility of broken/invalidated zones
Text color and label positioning controls
Combined zones display with increased opacity for emphasis
Best Practices
Timeframe Selection: Use higher timeframes (15m, 30m, 1H) for swing trades; lower timeframes work for scalping when combined with HTF confluence
Zone Invalidation: "Close" method reduces false breaks from wicks; "Wick" method is more conservative
Zone Count: Start with "Medium" or "Low" settings to avoid chart clutter, especially on lower timeframes
Momentum Parameters: Lower values (3-4) detect more zones; higher values (5-6) create stricter, higher-quality zones
Combine Zones: Enable this feature to merge overlapping multi-timeframe zones for cleaner charts and stronger confluence areas
Important Notes
Zones are calculated in real-time on the detection timeframe and displayed on your chart timeframe
The indicator looks back a maximum of 2000 bars for calculations
Maximum of 500 boxes/labels can be displayed simultaneously due to Pine Script limitations
Zones older than the "Max Distance" setting are automatically hidden but still tracked for break/retest detection
The "Last 2 Opposite Candles" method may produce zones of varying sizes depending on the range of those base candles
EMA Trend Reversal (Regime Change)
EMA Trend Reversal (Regime Change)
This indicator highlights EMA slope reversals that often coincide with trend or regime shifts, using a simple two-stage visual system.
It is especially effective on higher timeframes (Daily / Weekly) for swing trading and trend-bias awareness.
Detailed User Guide
What the signals mean
Unconfirmed signals (triangles)
Yellow triangle below price
- EMA is turning up intrabar (not yet confirmed)
Yellow triangle above price
- EMA is turning down intrabar (not yet confirmed)
Unconfirmed signals may repeat at a set interval until confirmation.
Confirmed signals (dots)
Green dot below price
- EMA slope has confirmed upward (bullish regime shift)
Red dot above price
- EMA slope has confirmed downward (bearish regime shift)
Confirmed dots only appear after the candle closes.
Alerts
This script provides two alerts only:
EMA Reversal UP
EMA Reversal DOWN
Each alert can fire on:
Initial unconfirmed reversal
Reminder interval while unconfirmed
Final confirmed reversal
Alerts will NOT fire unless this indicator is active on at least one chart.
It may be kept on a chart you do not actively trade.
Settings
EMA Length (default: 21)
Reminder interval (minutes)
Show / hide unconfirmed triangles
Show / hide confirmed dots
Dot transparency
Colors (locked to preserve signal meaning)
Best use cases
Identifying trend or regime changes
Weekly swing trade entries and exits
Holding-period guidance during trends
Alert-based monitoring without watching charts
This is not a scalp or oscillator signal.
It works best when combined with structure, support/resistance, or higher-timeframe context.
Disclaimer
This indicator is provided for educational and informational purposes only.
It does not constitute financial, investment, or trading advice.
All trading involves risk. Use at your own discretion.
Fibonacci Entry Zone [OTE] (@ath.snipr)🇬🇧 English Description
📌 Fibonacci Entry Zone – @ath.snipr
Fibonacci Entry Zone is an indicator designed to automatically detect market structure, identify Change of Character (CHoCH), and project Optimal Trade Entry (OTE) zones using Fibonacci retracements.
It is suitable for scalping, day trading, and swing trading across all markets (Forex, indices, crypto, commodities).
🎯 Indicator Purpose
This indicator helps traders to:
✔ Detect significant swing highs and lows
✔ Identify structure shifts (CHoCH)
✔ Automatically draw Fibonacci retracement levels
✔ Highlight the Golden Zone (OTE)
✔ Dynamically track new swings in real-time
The goal is to patiently wait for price to retrace into a high-probability value area instead of chasing price.
🧠 How It Works
1️⃣ Market Structure Detection
The algorithm detects price pivots to identify:
📈 Bullish structure: Higher High / Higher Low
📉 Bearish structure: Lower High / Lower Low
When a structure shift occurs, a CHoCH label appears and a new Fibonacci projection is automatically created.
2️⃣ Fibonacci OTE Levels
Fibonacci levels are calculated between the latest swing high and swing low.
Default levels:
0.50
0.618
These represent the Optimal Trade Entry (OTE) zone where price statistically reacts more often.
The Golden Zone can be filled for better visualization.
3️⃣ Dynamic Updates
When Swing Tracker is enabled:
Fibonacci levels automatically update as new swings form.
The projection always stays aligned with the current market structure.
4️⃣ Visual Elements
The indicator displays:
✔ CHoCH labels
✔ Break of Structure lines
✔ Swing trend line (dotted)
✔ Swing price labels
✔ Extended Fibonacci levels
Everything is fully customizable.
🛠️ Key Settings
Structure
Structure Period – Swing sensitivity (higher = stronger structure).
Bullish / Bearish – Enable bullish or bearish structures.
BoS Width – Structure line thickness.
Fibonacci Mode
Swing Tracker – Auto-update Fibonacci levels.
Swing Line – Show swing connection line.
Swing Labels – Show swing price labels.
Fibonacci
Extend – Extend levels to current price.
Previous – Keep previous levels.
Fill Golden Zone – Highlight OTE zone.
Levels – Customize Fibonacci levels.
📈 How to Trade with It (example)
▶ Bullish Scenario
A bullish CHoCH appears.
Price impulsively moves up.
Wait for a retracement into the Golden Zone (0.5 – 0.618).
Confirm with your strategy (price action, liquidity, SMT, etc.).
Enter long with stop below the last swing low.
▶ Bearish Scenario
Same logic in reverse.
⚠️ Disclaimer
This indicator is a decision-support tool only.
It does not guarantee profits and must be used with proper risk management and personal confirmation.
Support and Resistance (High Volume Boxes) [ChartPrime]# 📑 OPERATING MANUAL: Institutional Volume & SR Protocol (v1.0)
## 1. SCOPE AND CORE LOGIC
This trading suite is designed to track **Institutional Order Flow**. By combining statistical volume anomalies (Spikes) with price zones of high participation (Boxes), the system identifies where "Smart Money" is entering the market and which price levels they are likely to defend.
---
## 2. COMPONENT OVERVIEW
### **A. Massive Order Spike Detector**
Identifies momentum and exhaustion through volume standard deviation ($σ$).
* **Green/Red Triangles:** Indicate a volume event exceeding **4x** the historical average.
* **Key Use:** Acts as a **trigger** for entry.
### **B. SR High Volume Boxes**
Maps the areas where high-volume pivots occurred.
* **Teal Boxes:** High-volume Support (Buying zones).
* **Red Boxes:** High-volume Resistance (Selling zones).
* **Diamonds (◆):** Real-time confirmation that a level is "Holding."
* **Dashed Boxes:** Indicate a level has been broken and may now "flip" polarity (Support becomes Resistance).
---
## 3. SIGNAL INTERPRETATION TABLE
| Signal Type | Visual | Market Context | Action |
| :--- | :--- | :--- | :--- |
| **Buy Spike** | 🟢 Triangle | Breakout or Trend Continuation | Confirm with Support Box |
| **Sell Spike** | 🔴 Triangle | Breakdown or Trend Exhaustion | Confirm with Resistance Box |
| **Support Hold**| 🟢 Diamond | Price successfully bounced off a Teal zone | Look for Long entry |
| **Resist. Hold**| 🟠 Diamond | Price successfully rejected from a Red zone | Look for Short entry |
| **SR Break** | 🏷️ Label | A major volume zone has been breached | Wait for Retest of dashed box |
---
## 4. OPERATIONAL WORKFLOW (THE STRATEGY)
### **Step 1: Zone Identification**
Observe the **SR High Volume Boxes** to see where the "battlefields" are.
* *Neutral:* Price is between boxes.
* *Action:* Price enters a Teal (Support) or Red (Resistance) box.
### **Step 2: The Trigger (The Spike)**
Wait for the **Massive Order Spike** to appear as the price interacts with a box:
* **The Aggressive Break:** A Spike occurs *as the price breaks through* a box. This validates a strong momentum trade.
* **The Rejection:** A Spike occurs *at the edge of a box* followed by a Diamond (◆). This validates a high-probability reversal.
### **Step 3: Confirmation (The Retest)**
If a box is broken (e.g., "Break Res"), wait for the price to return to the **Dashed Box**. If a "Hold" signal (Diamond) appears on the retest, the setup is high-conviction.
---
## 5. TECHNICAL CONFIGURATION
| Parameter | Recommended Value | Purpose |
| :--- | :--- | :--- |
| **Spike Multiplier** | 4.0 - 5.0 | Filters out noise; captures only major moves. |
| **Lookback Period** | 20 | Balances between minor and major SR levels. |
| **Box Width** | 1.0 - 1.5 | Adjust based on ATR (Volatility) of the asset. |
| **Alert Type** | Once Per Bar Close | Ensures signals are confirmed by the candle close. |
---
## 6. RISK MANAGEMENT & BEST PRACTICES
1. **News Filter:** Avoid trading 5 minutes before/after high-impact news (CPI, FOMC). Spikes are guaranteed but direction is unpredictable.
Pulsar Heatmap CVD/OBV [by Oberlunar]Pulsar Heatmap CVD/OBV is a flow/price-consensus dashboard that turns OBV, CVD and their combination blend into a compact “heatmap + bias/signal” view, with optional main-chart candle coloring and HUD overlays.
What it shows
The panel is split into 3 horizontal lanes (OBV / CVD / COMBO). Each lane is further split into two halves:
Flow half: the normalized OBV/CVD/COMBO component (either per-bar Delta or Cumulative series).
PriceΔ half: the normalized divergence between price and the lane (price unit − flow unit), highlighting when price moves with or against the flow proxy.
Colors use intensity-based transparency so you can quickly spot pressure, compression, and disagreement between lanes.
Core engines
Normalization: Z-Score→tanh, Z-Score→clamp, MinMax, or None (unit range ≈ ).
Bias engine (6 halves): builds a directional BIAS from the six components (OBV/CVD/COMBO × Flow/PriceΔ), with optional hysteresis to reduce flicker.
Signal engine: triggers LONG/SHORT only on full alignment (all 6 halves agree), with confirm-bars and optional sticky behavior.
ROC/Acceleration layers: optional impulse context (ROC + ACC) to gate signals and/or boost bias strength when momentum is supportive.
AST filter: a strict directional filter combining volatility regime, BB expansion/contraction, MTF RSI prior and Kalman-smoothed evidence. When AST is directional, it can block opposite signals to enforce coherence.
Visual tools
Bias/Signal bands: top/bottom bands render BIAS strength and SIGNAL state; yellow highlights indicate disagreement/blocked states.
Candle colouring (main chart): optionally colours chart candles from LaneScore / Bias / Signal / Bias+Signal (uses overlay drawing where supported).
Signal labels: optional LONG/SHORT markers (with “better price than last shown” logic).
Triangle HUD: right-side geometric HUD summarising OBV/CVD/COMBO consensus + disagreement cues.
Timed Exhaustion / Absorption table: compact state machine that flags momentum exhaustion and absorption-like conditions using tight range + ROC/ACC behaviour.
How to use
Start with Lane data = Delta for faster microstructure timing; switch to Cumulative for macro context.
Choose a normalisation that fits your symbol’s volatility (ZScore→tanh is usually stable).
Read BIAS as the current dominant direction/strength; treat SIGNAL as the strict “all lanes aligned” confirmation.
If you want stricter coherence, keep the AST filter enabled (it is integrated by design and blocks opposite-direction signals when directional).
Setup 1 — Long Signal (Clean Alignment + Impulse)
In this example, Pulsar Heatmap transitions into a clear long setup when the system prints a LONG SIGNAL. The key idea is simple: the indicator does not enter on “bias” alone. It waits for full alignment across the internal lanes, optionally reinforced by the ROC/Acceleration impulse layer, and only then does it confirm a signal on a closed bar (Safe Mode)
Setup 2 — Short Signal After Compression (Absorption → Release)
In this screenshot, the short trade idea is not coming from “red candles” alone, but from a very specific sequence: the heatmap shows a shift into bearish alignment, the system prints a SHORT SIGNAL, and the timed module confirms that the market was in a tight range while sell pressure started to dominate.
Setup 3 — Neutral State (Stand-By Zone, No Trade Yet)
In the following screenshot, Pulsar Heatmap is doing something very important: it is clearly saying NEUTRAL 0%. Even if, visually, price could “look” like it might resume upward, the indicator is not providing a directional edge yet.
If you are already short, treat DISAGREE as a signal to take profit, tighten the stop, or scale out.
Setup 4 — When similar conditions return
Setup 4 — Impulse + Exhaustion conditions
In this screenshot, you’re basically seeing a “timing warning” configuration. Price prints a sharp bearish extension, but Pulsar Heatmap is not presenting it as a clean continuation setup: the center read is NEUTRAL 0%, while the timed engine shows both Absorption = SHORT and Exhaustion = SHORT. That combination often means: the downside pressure was real, but the move is already in a late/fragile phase (good for managing an existing short, not for opening a new one).
This tool uses available volume data from your data provider and approximates flow via OBV/CVD-style logic; results can differ across symbols/brokers and sessions. This script is for educational/analytical purposes and is not financial advice.
by Oberlunar 👁️ ⭐
Double Supertrend + DEMA + Split Exits by Amit NamdeoStrategy Overview
This is a Trend-Following Confluence Strategy. Instead of relying on a single indicator, it requires three different technical layers to agree before entering a trade. This helps filter out "fake outs" (false signals) that often happen in choppy markets.
1. The Indicators Used
Supertrend 1 (Standard): Detects the immediate trend direction.
Default: ATR 10, Factor 3.0
Supertrend 2 (Confirmation): Acts as a second opinion.
Default: ATR 14, Factor 2.0
DEMA (Trend Filter): A 200-period Double Exponential Moving Average. It acts as the "Traffic Light" for the overall market direction.
Rule: You only trade in the direction of the DEMA.
2. Trading Rules
🟢 LONG (Buy Signal)
You enter a Buy position only when ALL three conditions are met simultaneously:
Supertrend 1 is GREEN (Uptrend).
Supertrend 2 is GREEN (Uptrend).
Price is ABOVE the DEMA line (Ensures you are in a long-term bull market).
Note: If the DEMA checkbox is disabled, only the first two rules apply.
🔴 SHORT (Sell Signal)
You enter a Sell position only when ALL three conditions are met simultaneously:
Supertrend 1 is RED (Downtrend).
Supertrend 2 is RED (Downtrend).
Price is BELOW the DEMA line (Ensures you are in a long-term bear market).
❌ EXIT Rules (The "Mismatch" Logic)
This is the safety mechanism of the strategy. Instead of waiting for a full trend reversal (which might result in giving back too much profit), the strategy exits as soon as the trend shows weakness.
Exit Buy: Triggered if you are in a Long position and the two Supertrends disagree (one turns Red while the other is still Green).
Exit Sell: Triggered if you are in a Short position and the two Supertrends disagree (one turns Green while the other is still Red).
3. Why this is better than a standard Supertrend?
Fewer False Signals: A single Supertrend often flips back and forth during sideways markets. By requiring two Supertrends to agree + price to be on the correct side of the DEMA, you avoid many bad trades.
Faster Exits: Standard strategies often wait for the Supertrend to flip completely to the opposite color to exit. This strategy exits on the first sign of disagreement, effectively tightening your stop-loss as the trend matures.
4. Visual Guide
Green "BUY" Label: Start of a Long Trade.
Red "SELL" Label: Start of a Short Trade.
Red "X" (Exit Buy): Close your Long trade (Take profit or cut loss).
Green "X" (Exit Sell): Close your Short trade.
Purple Line: The DEMA Filter.
Background: Green or Red shading appears only when a trade is active.
S/R-Zones [SouthEast]Autro Support/ Resistance zones, drawn by default on 1 hr timeframe for last 3 months
