AuraAura - Premium Adaptive Trend System
Aura is an advanced trend intelligence system engineering for precision market analysis. Unlike static indicators, Aura features a Smart Adaptive Engine that automatically calibrates its sensitivity based on your selected timeframe, ensuring optimal performance across different trading styles.
Key Innovations:
* Smart Adaptive Engine: Automatically detects your timeframe (Scalping, Day Trading, or Swing) and adjusts internal parameters to filter noise and capture true momentum.
* Gold-Optimized Logic: Specifically tuned for high-volatility assets like XAUUSD, utilizing a deviation multiplier of 2.5 to eliminate false signals and fakeouts.
* Dynamic Trend Ribbon: A visually immersive ribbon that expands and contracts with volatility, painting a clear picture of market dominance (Blue for Bullish, Red for Bearish).
* Institutional EMAs: Integrated institutional moving averages (50, 100, 200) provide immediate long-term context without cluttering the chart.
* Precision Signals: Reversal signals are generated only when confirmed by the smoothed baseline, reducing premature entries.
Operational Guide:
1. Select Timeframe: Simply switch between 5m, 1H, or Daily. Aura automatically optimizes itself.
2. Identify Trend: Trade in the direction of the Ribbon color.
3. Execute: Use the "UP" and "DOWN" signals as clear entry triggers.
التقلب
Price Risk AssessmentPrice Risk Assessment is a composite risk oscillator designed to gauge the probability of price exhaustion and reversal. Unlike standard oscillators that rely on a single data point, this indicator synthesizes five distinct market dimensions to create a holistic "Risk Score" ranging from 0 to 1.
This tool is designed to help traders identify when an asset is statistically overheated (High Risk) or undervalued (Low Risk) relative to its recent history.
🛠️ How It Works
The indicator calculates a raw risk score based on a weighted average of the following components:
Price Position: Measures where the current price sits relative to the High/Low range of the lookback period.
Momentum Risk: Analyzes the Rate of Change (ROC) to determine if velocity is reaching historical extremes.
Volatility Risk: Uses Average True Range (ATR) to assess if volatility is expanding to unsustainable levels.
Trend Strength: Utilizes a custom ADX calculation to factor in trend exhaustion.
Volume Intensity: Compares current volume against historical extremes to identify climax behavior.
🚀 Asset-Specific Algorithms Markets behave differently. This indicator includes a unique "Asset Type" input that dynamically adjusts the weight of the calculations above:
Crypto: Heavily weighted toward Volatility and Momentum.
Stocks: Balanced approach with higher emphasis on Trend Strength.
ETFs: Prioritizes Price Position and Trend stability.
🎯 How to Use
The indicator plots a line that changes color based on "Persistent Risk."
Buying Opportunities (Low Risk):
Purple (Very Low Risk < 0.20): Extreme oversold conditions. historically strong accumulation zones.
Lime (Low Risk < 0.35): Price is in a value area.
Signal: Look for the line to turn Lime or Purple. This suggests downside momentum is fading.
Selling/Hedging Opportunities (High Risk):
Red (Very High Risk > 0.80): Extreme overbought conditions. High probability of a correction.
Orange (High Risk > 0.65): Price is entering a danger zone.
Signal: Look for the line to turn Orange or Red. This suggests the move is overextended.
The "Persistence" Filter To avoid fake-outs during strong trends, this script uses a Persistence Period setting. The risk level must remain in a zone for a specific number of bars (default: 3) before the color changes. This filters out momentary spikes and focuses on sustained market stress.
⚙️ Settings
Asset Type: Choose between Crypto, Stock, or ETF to adjust the internal formula weights.
Lookback Period: The historical window for calculating relative extremes (Default: 100).
Smoothing: Applies an EMA to the final score to reduce noise.
Risk Thresholds: Manually adjust what constitutes "High" or "Low" risk.
Disclaimer: This tool is for information purposes only and does not constitute financial advice. Past performance is not indicative of future results.
QuantRX SuperTrendQuantRX SuperTrend Lite is a clean, non-repainting SuperTrend indicator that visualizes trend state using an ATR-based trailing band. It plots one active line on the chart: the finalized lower band during bullish trend state and the finalized upper band during bearish trend state, using classic SuperTrend band-finalization rules.
Inputs: Price Source, ATR Length, and ATR Multiplier.
Optional display: neutral “Trend Up / Trend Down” flip markers and an optional transparent magenta/purple background tint to reflect the current trend state.
Optional alerts: “Trend Up” and “Trend Down” can be enabled for trend flips only (neutral wording).
This script is intended as a simple trend-state visualization tool. It does not generate buy/sell signals, entries/exits, targets, or performance claims, and it does not include dashboards or automation logic. Use it as a chart overlay to help interpret directional context across any market and timeframe.
TradeChillOut Stc icon ProfessionalHtf L 80 F 20 S50
Ribbon
1 L 180 F144 S3500
2 L10 F20 S50
3L160 F20 S50
4L96 F20 S50
5L 98 F20 S 50
...
ATR + BJ Signal V3ATR + BJ Signal (Optimized for GOLD)
This indicator is designed for mean-reversion scalping on GOLD, focusing on volatility expansion and momentum exhaustion.
Key features:
ATR-based candle expansion filter to detect abnormal moves
RSI overbought / oversold confirmation
Optional Bollinger Band deviation filter
Clear BUY / SELL signals for reversal entries
Automatic SL / TP projection lines and price labels (individually toggleable)
Best suited for short-term reversal and scalp trades during high-volatility conditions.
All visual components can be enabled or disabled independently. be enabled or disabled independently.
ABG Basket Radarsimple currency basket lines where you can see what currency is stronger and what currency is weaker.
its all custom formula baskets and not just usd pairs.
Smart Money Structure | GainzAlgo📊 OVERVIEW:
================
Smart Money Structure Analysis is a professional-grade market structure and order-flow system designed to identify institutional trading behavior through volatility-adaptive logic, multi-timeframe trend alignment, and volume-based confirmation.
This indicator implements original mathematical models to detect Change of Character (CHoCH), Break of Structure (BOS), cumulative volume dynamics, and trend convergence across seven timeframes — delivering high-probability trade signals with significantly reduced noise.
Unlike basic indicator combinations, this system functions as a unified trading framework, where volatility adaptation, structure analysis, and volume confirmation continuously reinforce each other to provide precise, context-aware signals.
⭐ WHY THIS SYSTEM IS UNIQUE AND WORTHY OF PUBLICATION:
=====================================================
This is not a collection of common indicators placed together.
Smart Money Structure Analysis represents a cohesive institutional methodology, engineered so that:
- Volatility adjusts signal sensitivity in real time
- Multi-timeframe trends define directional bias
- Market structure determines timing
- Volume confirms institutional participation
- Advanced filters eliminate low-quality setups
Each component is mathematically linked to the others, creating a workflow that cannot be replicated by stacking separate indicators.
🔗 SYNERGISTIC INTEGRATION – HOW THE SYSTEM WORKS TOGETHER:
==========================================================
🧠 1. CONTEXT-AWARE VOLATILITY ADAPTATION
ATR-based volatility logic dynamically adjusts all momentum thresholds:
- Higher volatility → stronger confirmation required
- Lower volatility → sensitivity increases to capture valid moves
This prevents over-signaling in choppy markets and under-signaling during expansion phases — a core flaw in static indicators.
📐 2. MULTI-TIMEFRAME TREND CONVERGENCE ENGINE
Seven timeframes are analyzed simultaneously:
1M • 5M • 15M • 30M • 1H • 4H • 1D
Each timeframe is scored using EMA + VWAP alignment, producing a composite Trend Strength Score from -100 to +100.
The stronger the alignment across timeframes, the higher the probability of continuation — instantly visible through the real-time dashboard.
🏗️ 3. INSTITUTIONAL MARKET STRUCTURE (CHoCH & BOS)
The system automatically identifies the two core smart money concepts:
- CHoCH (Change of Character):
Signals potential trend exhaustion or reversal zones
- BOS (Break of Structure):
Confirms trend continuation and institutional commitment
Structure zones are visualized with persistent, color-coded levels and clouds, providing precise contextual timing rather than lagging signals.
📊 4. CUMULATIVE VOLUME DELTA (CVD) CONFIRMATION
CVD tracks the cumulative difference between buying and selling pressure:
- Rising CVD → accumulation
- Falling CVD → distribution
- Divergence vs price → early reversal warning
Volume participation is categorized into Low / Medium / High, adding depth beyond simple volume bars.
🛡️ 5. SIX-LAYER PROFESSIONAL SIGNAL FILTERING
Every signal must pass through up to six independent confirmation layers:
1. Volatility-adjusted momentum
2. Higher timeframe trend alignment
3. Lower timeframe conflict prevention
4. Institutional volume confirmation
5. Structural breakout validation
6. Repeated-signal restriction
This dramatically reduces false positives while preserving only high-quality institutional setups.
🧮 DETAILED CORE SYSTEMS:
========================
📏 ADAPTIVE MOMENTUM FORMULA
- Momentum Threshold = Base × (1 + (ATR ÷ Price) × 2)
- Pre-Momentum Factor = Base × (1 − (ATR ÷ Price) × 0.5)
📊 TREND STRENGTH CALCULATION
- Trend Strength = (Sum of 7 timeframe scores ÷ 7) × 100
📦 CVD LOGIC
- Close > Previous Close → Buy volume added
- Close < Previous Close → Sell volume subtracted
- Cumulative sum reveals institutional intent
🧠 STRUCTURE DETECTION
- Pivot-based swing logic
- Candle confirmation
- Configurable lookback periods
- Non-repainting visualization
🧩 ADVANCED ANALYSIS TOOLS:
==========================
🧲 LIQUIDITY ZONE DETECTION
Identifies probable retail stop-loss clusters where institutions often initiate stop hunts before true directional moves.
📦 MARKET PROFILE & ORDER FLOW IMBALANCE
Detects buy/sell dominance using volume ratios, highlighting accumulation and distribution zones before large price moves.
🔄 RSI DIVERGENCE SCANNER
Identifies bullish and bearish divergences that frequently precede structure shifts and trend reversals.
🎨 VISUAL SYSTEM & DASHBOARD:
============================
📊 SMART MONEY MATRIX
- Composite trend strength
- System confidence %
- CVD value
- Directional grid for all timeframes
📈 TREND PREDICTION MATRIX (Optional)
Forecasts short-term directional bias using trend, momentum, and volatility data.
🏷️ SIGNAL LABELS
- BUY / SELL → Fully confirmed entries
- READY → Momentum building
- BOS / CHoCH → Structure events
- FLOW / LIQ / BULL / BEAR → Advanced confirmations
⚙️ CORE FEATURES:
================
1. Multi-Timeframe Trend Convergence
2. Smart Money Structure Detection (CHoCH & BOS)
3. Adaptive Volatility-Based Momentum
4. Cumulative Volume Delta (CVD)
5. Six-Layer Signal Filtering
6. Liquidity Zone Detection
7. Order Flow & Market Profile Analysis
8. Divergence Scanner
9. Dynamic Trendlines
10. Institutional-Grade Dashboard
📘 WHO THIS INDICATOR IS FOR:
============================
- Scalpers: Noise-filtered precision on lower timeframes
- Day Traders: High-probability continuation setups
- Swing Traders: Multi-timeframe alignment & structure zones
- Reversal Traders: Divergence + CHoCH confirmation
⚠️ IMPORTANT DISCLAIMER:
========================
This indicator is a technical analysis and educational tool only.
It does not provide financial advice or trade recommendations.
Trading involves substantial risk, and losses are a natural part of trading.
Past performance does not guarantee future results.
All trading decisions remain the sole responsibility of the user.
Market Regime: Squeeze Box + Trend DashboardMarket Regime: Squeeze Box + Trend Dashboard
Market Regime is a overlay designed to provide instant market context (trend vs consolidation) and highlight volatility compression (squeeze) setups before potential breakouts. Built with stock charts in mind, it focuses on clean visuals and practical decision support.
What this indicator shows:
1) Market Regime (TREND / RANGE / NEUTRAL)
The regime is detected using DMI/ADX with built-in confirmation to reduce flicker:
TREND : ADX stays above a threshold for N bars
RANGE : ADX stays below a threshold for N bars
NEUTRAL : neither trend nor range is confirmed
Trend direction is derived from DI+ vs DI- (UP / DOWN / MIXED).
2) Squeeze (BB inside KC)
A squeeze is detected when Bollinger Bands contract inside Keltner Channels (volatility compression).
SQZ = squeeze start
REL = squeeze release (the first bar *after* squeeze — technically correct)
3) Squeeze Box
The core feature: a box drawn from SQZ → REL , dynamically tracking the highest high / lowest low during the squeeze. This creates a clean visual range for the compression zone and helps frame breakout context.
4) EMA Ribbon with ADX-based intensity
Two EMAs (fast/slow) form a ribbon. The fill becomes more pronounced as ADX strength increases, making trend momentum easier to read at a glance.
5) Trend Dashboard (corner panel)
A compact dashboard summarizing key metrics:
REGIME, DIR, ADX (with normalized strength %)
SQUEEZE ON/OFF
Relative Volume (relVol + tier)
ATR% (14), EMA Slope%, GAP% (Open vs previous Close)
Customization / Settings
Fully configurable for different styles and markets:
ADX/DMI lengths and thresholds
BB/KC parameters (lengths and multipliers)
Relative Volume thresholds
Background mode: Off / Squeeze only / All regimes
Visual toggles: ribbon, squeeze box, markers, dashboard
History controls and limits for boxes/labels (clean chart + performance)
How to use (practical workflow)
Trend context : read REGIME + DIR and ribbon intensity (ADX strength).
Squeeze setup : when squeeze is active, the box defines the compression range (high/low).
Release : REL marks the first bar after squeeze ends (potential breakout/expansion context).
Notes
No look-ahead logic is used; calculations rely on current and historical bars only.
On realtime (still-forming) candles, values can change intrabar, normal behavior for indicators computed on the current bar.
Trading Disclaimer:
This indicator is provided for research and informational purposes only and does not constitute financial advice. Past performance is not indicative of future results. Use at your own risk. You are solely responsible for any trading decisions made using this script.
Adaptive Market Regime Engine - AMR [1.2.0]An analysis and decision framework for traders who want to understand what their strategy can truly deliver in real market conditions.
Note: This script loads in a neutral state.
Performance depends entirely on the selected setup and market regime.
From Backtest to Market Reality
Many traders are familiar with the same situation:
In backtesting, a strategy appears stable – smooth equity curve, clean metrics.
In live trading, drawdowns, uncertainty, and emotional decisions follow.
Then the strategy gets optimized, replaced, or abandoned – often exactly when the market would have started to adapt again.
The problem is rarely the strategy itself.
It is the missing market context in which it is applied.
AMR was developed to close this gap:
Trading ideas are not viewed in isolation, but systematically classified into market regimes and market phases – with a realistic view on risk, drawdowns, and capital impact.
Market as a Regime – Not a State
The market is not a static environment.
It continuously shifts between different regimes, each placing different demands on strategies.
AMR continuously classifies the market into structured phases, including:
Squeeze – low volatility, transition and buildup phases
Strong Trend (Bull / Bear) – clear directional movement with statistical edge
Weak Trend – directional bias with increased pullbacks
Range – sideways markets with limited opportunity
Neutral – transition phases without a clear advantage
All trades, metrics, and evaluations are always viewed within the context of these phases.
This creates understanding of:
why trades occur or are deliberately avoided
why drawdowns happen
why a setup may temporarily underperform without being fundamentally flawed
Four Analysis Modes – Four Perspectives on the Same Setup
Setup Mode – The Strategy Itself
In Setup Mode, you develop and analyze your trading idea independently of account size.
Here you define and test, among other things:
Entry and exit logic
ATR-based exits, trailing stops, fixed take-profits, breakeven rules
Re-entry concepts for trend continuation
phase-dependent parameters
Core question:
Is this trading idea logical, consistent, and technically robust?
Portfolio Mode – Capital Reality
Portfolio Mode translates a setup into a realistic account simulation.
It visualizes:
equity curve development
maximum drawdown (absolute and percentage)
capital exposure
risk development over time
Core question:
How does this setup actually affect my capital?
Heatmap Mode – The Time Test
Heatmap Mode evaluates performance over time, not just as an aggregate result.
It shows:
strong and weak months
recurring drawdown phases
periods without trades
recovery phases after losing streaks
Core question:
Which weak phases are structurally part of this setup – and what must a trader be able to endure during these periods?
Live Mode – Understanding the Current Market Environment
Live Mode analyzes the market in real time.
It shows:
the current market regime
active or inactive setup conditions
concrete reasons for “no-trade” phases
re-entry status and timing logic
Goal:
Not just seeing trades, but understanding why trades are taken – or consciously avoided.
Position Sizing & Kelly Reference
Many traders optimize entries and exits but underestimate the impact of position sizing.
AMR integrates the Kelly principle as a reference model to:
contextualize expectancy and risk
compare fixed position sizes with dynamic weighting
identify whether drawdowns stem from the strategy or from position sizing
Kelly is neither a recommendation nor a requirement, but an analytical tool to evaluate one’s own risk management.
Validated Starter Setups & Private Community
At launch, every AMR subscriber receives three validated and currently live-traded setups.
These setups include:
complete parameter configurations
clear market phase classification
defined risk and exit structures
They serve as real-world references for how a robust setup is constructed.
Additionally, all users gain access to a private Telegram group.
This group is not a signal service.
It is intended as a shared workspace and exchange environment.
Every trader favors different markets and timeframes and brings individual account sizes, time horizons, and mental resilience.
What does not fit one trader may be ideal for another.
From this context emerges a rich and continuously growing pool of real, field-tested trading setups, from which each trader can select the strategies that best fit their style, capital, and mental strength.
Technical Integrity & Data Stability
AMR operates with:
non-repainting signals
realistic costs (fees & slippage)
stable backtests
Who AMR Is Designed For
AMR is built for traders who:
systematically develop their own strategies
actively incorporate market phases into decision-making
seek to understand drawdowns instead of reacting emotionally
aim for long-term consistency
Guiding Principle
You design your strategy.
AMR shows how it behaves across real market phases – and what those decisions mean for your trading account.
Past performance ≠ future results.
SMT - Malibu SMT Correlation Crack Indicator
This indicator detects Smart Money Technique (SMT) divergences between two correlated assets, helping traders identify potential reversal points when the primary asset and comparison symbol show opposite price movements.
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WHAT IT DOES
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• Detects Bearish Divergence: Primary makes Higher High while Compare makes Lower High
• Detects Bullish Divergence: Primary makes Lower Low while Compare makes Higher Low
• Draws divergence lines between swing points automatically
• Optional labels for quick identification
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HOW TO USE
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1. Set your Comparison Symbol (e.g., NQ1! for Nasdaq when trading ES)
2. Adjust Swing Length for sensitivity (lower = more swings, higher = fewer)
3. Customize colors to match your chart theme
4. Enable/disable labels based on your preference
Recommended Pairs:
• ES1! vs NQ1! (S&P 500 vs Nasdaq)
• GC1! vs SI1! (Gold vs Silver)
• EURUSD vs GBPUSD (Forex pairs)
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TRADING CONCEPT
SMT divergence occurs when correlated assets move in opposite directions at swing points. This often indicates institutional activity and can signal potential reversals.
• Bearish Divergence → Potential Short Setup
• Bullish Divergence → Potential Long Setup
Always use with confluence from other SMT elements (Order Blocks, FVGs, Liquidity).
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SETTINGS
• Compare Symbol: Second asset to compare with current chart
• Timeframe: Leave empty to use current chart timeframe
• Swing Length: Swing detection sensitivity (1-20)
• Colors: Customizable for bearish/bullish divergences
• Show Labels: Display BEAR/BULL tags at divergences
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DISCLAIMER
This indicator is for educational purposes only. Trading involves substantial risk. Past performance does not guarantee future results. Always use proper risk management.
Volume SGVolume SG, stands for volume made by stock gurukul.
1. This is a normal volume indicator along with 50 SMA overlay.
2. It gives out sector, industries, R VOL and avg turn over of the stock.
Volume indicator indicates the institutional activity. Same has been reiterated by many great traders like O' Neil, Livermore, Darvas< charles Dow etc., Wanted a simple volume indicator and here it is. Inacse you like it .. hit the like button same will motivate me a lot. Any suggestions for improvement is most welcome. Enjoy it.
Do follow me in twitter for latest update.
GoM Scalping Pro V1.20 GoM Scalping Pro — Smart ALMA Signal System
GoM Scalping Pro is a professional trading indicator designed to identify high-quality market entries using a smart trend-based signal engine combined with volatility filtering and built-in risk visualization.
The indicator automatically highlights **potential BUY and SELL opportunities and displays structured trading levels directly on the chart, making it suitable for scalping, intraday, and short-term swing trading.
🔹 Key Features
Smart trend-based signal detection
Volatility filter to avoid low-quality market conditions
Automatic calculation of Entry, Stop Loss, and Take Profit levels
Multiple Take Profit targets for flexible trade management
Clear and uncluttered chart visualization
Customizable alerts (Push / Sound / Popup)
Works on all markets and timeframes
📊 How to Use
Signals appear directly on the chart when market conditions are valid
Follow the displayed Entry, SL, and TP levels for structured execution
Can be combined with your own market context or risk rules
The indicator is designed to assist decision-making, not to replace trading discipline.
🎯 Recommended Markets
For best performance, use on liquid instruments such as:
Major Forex pairs
Gold (XAUUSD)
Major indices (US500, NAS100)
Bitcoin (BTCUSD)
⚙️ Alerts
Enable alerts to receive real-time notifications when new signals are detected.
This allows you to monitor multiple instruments efficiently without staring at charts.
⚠️ Disclaimer
This indicator is a technical analysis tool, not financial advice.
Always test settings on a demo account and manage risk carefully.
If you want, I can also provide:
a shorter “store-style” description
a premium / institutional tone version
or a version optimized for conversions on TradingView
Teemo RSI DivergenceTeemo RSI Divergence
Teemo RSI Divergence is a comprehensive trading system designed to visualize market momentum and structural shifts instantly. By combining a Momentum Shift Zone with a Dual Divergence Engine, it helps traders identify both high-probability reversals and trend continuations.
Key Features
RSI Shift Zone (Momentum Bars): Automatically colors price bars when RSI breaks into Overbought (70+) or Oversold (30-) zones. This signals strong momentum, suggesting a trend is active rather than just exhaustion.
🟢 Mint Bars: Strong Bullish Momentum.
🟣 Purple Bars: Strong Bearish Momentum.
Dual Divergence Engine:
"R" (Regular): Detects Trend Reversals (e.g., Price Lower Low + RSI Higher Low).
"H" (Hidden): Detects Trend Continuations (e.g., Price Higher Low + RSI Lower Low).
Real-Time Monitor: Displays dotted lines for potential divergences while the candle is forming, allowing you to anticipate market structure before the close.
Smart Filtering: Includes options to filter out weak signals near the neutral zone (RSI 50) and remove duplicate noise for cleaner charts.
How to Use
Trend Following: Look for Hidden Divergences (H) appearing while the bars are colored (Mint/Purple) to join the trend on pullbacks.
Reversal Trading: Look for Regular Divergences (R) appearing against the colored momentum bars to spot trend exhaustion.
Teemo RSI Divergence는 시장의 모멘텀과 추세 구조를 직관적으로 시각화하는 트레이딩 시스템입니다. 단순한 RSI 지표를 넘어, **모멘텀 시프트 존(캔들 색상)**과 이중 다이버전스 엔진을 결합하여 트레이더가 추세의 반전과 지속 타점을 모두 포착할 수 있도록 설계되었습니다.
주요 기능
RSI Shift Zone (모멘텀 캔들): RSI가 과매수(70+) 또는 과매도(30-) 구간을 강하게 돌파할 때 캔들 색상을 변경합니다. 이는 단순 과열이 아닌 '강한 추세'가 진행 중임을 의미합니다.
🟢 민트색 캔들: 강력한 상승 모멘텀.
🟣 보라색 캔들: 강력한 하락 모멘텀.
이중 다이버전스 엔진:
"R" (Regular/일반): 추세 반전 신호를 감지합니다 (예: 가격 저점 하락 + RSI 저점 상승).
"H" (Hidden/히든): 추세 지속(눌림목) 신호를 감지합니다 (예: 가격 저점 상승 + RSI 저점 하락).
실시간 모니터 (RT): 캔들이 마감되기 전, 형성 중인 다이버전스를 점선으로 미리 표시하여 시장의 움직임을 한발 앞서 예측할 수 있습니다.
스마트 필터링: 중립 구간(RSI 50) 근처의 약한 신호를 무시하고, 중복된 라인을 제거하여 차트를 깔끔하게 유지합니다.
사용 전략
추세 추종: 캔들이 민트색이나 보라색으로 칠해진 강한 추세 구간에서 **히든 다이버전스(H)**가 발생하면, 추세 지속을 위한 진입 기회로 활용하세요.
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ATR Supertrend [QuantAlgo]🟢 Overview
The ATR Supertrend indicator identifies trend direction and reversal points using volatility-adjusted dynamic support and resistance levels. It combines Average True Range (ATR) volatility measurement with adaptive price bands and EMA smoothing to create trailing stop levels that automatically adjust to market conditions, helping traders and investors identify trend changes, maintain positions during trending markets, and exit when momentum shifts across multiple timeframes and asset classes.
🟢 How It Works
The indicator's core methodology lies in its volatility-adaptive band system, where dynamic support and resistance levels are calculated based on market volatility and price movement:
smoothedSource = ta.ema(source, smoothingPeriod)
atr = ta.rma(ta.tr(true), atrLength) * atrMultiplier
The script uses ATR-based bands that expand and contract with market volatility, ensuring the indicator adapts to different market conditions rather than using fixed price distances:
if trend == 1
supertrend := math.max(supertrend, smoothedSource - atr)
else
supertrend := math.min(supertrend, smoothedSource + atr)
First, it applies optional EMA smoothing to the price source to reduce noise and filter out minor price fluctuations that could trigger premature trend changes, allowing traders to focus on genuine momentum shifts.
Then, the ATR calculation measures market volatility using the Average True Range over the specified lookback period, multiplied by the user-defined factor to set the band distance:
atr = ta.rma(ta.tr(true), atrLength) * atrMultiplier
Next, dynamic trend detection occurs through a state-based system where the indicator tracks whether price is in an uptrend or downtrend, automatically adjusting the Supertrend line position:
if trend == 1
if smoothedSource < supertrend
trend := -1
supertrend := smoothedSource + atr
The Supertrend line can act as a trailing stop that follows price during trends but never moves against the trend direction, i.e., it ratchets upward with price in uptrends and ratchets downward with price in downtrends.
Finally, trend reversal signals are generated when price crosses the Supertrend line, indicating a shift in market momentum:
bullSignal = trend == 1 and trend == -1
bearSignal = trend == -1 and trend == 1
This creates a volatility-adaptive trend-following system that combines dynamic support/resistance levels with momentum confirmation, providing traders with clear directional signals and automatic stop-loss levels that adjust to changing market conditions.
🟢 Signal Interpretation
▶ Bullish Trend (Green): Price trading above Supertrend line with indicator showing bullish color, indicating established upward momentum = Long/Buy opportunities
▶ Bearish Trend (Red): Price trading below Supertrend line with indicator showing bearish color, indicating established downward momentum = Short/Sell opportunities
▶ Supertrend Line as Dynamic Support: In uptrends, the Supertrend line can act as trailing support level that rises with price, never declining = Use as potential stop-loss reference for long positions = Price holding above indicates trend strength
▶ Supertrend Line as Dynamic Resistance: In downtrends, the Supertrend line can act as trailing resistance level that falls with price, never rising = Use as potential stop-loss reference for short positions = Price holding below indicates trend weakness
🟢 Features
▶ Preconfigured Presets: Three optimized parameter sets for different trading approaches. "Default" provides balanced trend detection for swing trading on daily/4-hour charts with moderate sensitivity. "Fast Response" delivers quick trend change detection for intraday trading on 5-minute to 1-hour charts, capturing moves early with increased whipsaw potential. "Smooth Trend" focuses on strong sustained trends for position trading on daily/weekly timeframes, filtering noise to identify only major trend shifts.
▶ Built-in Alerts: Three alert conditions enable comprehensive automated monitoring of trend changes and momentum shifts. "Bullish Trend" triggers when price crosses above the Supertrend line and the trend state changes from bearish to bullish, signaling potential long entry opportunities. "Bearish Trend" activates when price crosses below the Supertrend line and the trend state changes from bullish to bearish, signaling potential short entry or long exit points. "Any Trend Change" provides a combined alert for any trend reversal regardless of direction, allowing traders to be notified of all momentum shifts without setting up separate alerts. These notifications enable traders to capitalize on trend changes and protect positions without continuous chart monitoring.
▶ Color Customization: Five visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and visual preferences, ensuring optimal contrast for identifying bullish versus bearish trends across various trading environments. The adjustable cloud fill transparency control (0-100%) allows fine-tuning of the gradient area prominence between the Supertrend line and price, with higher opacity values creating subtle background context while lower values produce bold trend zone emphasis. Optional bar coloring with adjustable transparency (0-100%) extends the trend color directly to the price bars themselves, providing immediate visual reinforcement of current trend direction without requiring reference to the Supertrend line, with transparency controls allowing users to maintain visibility of candlestick patterns while still showing trend context.
SPX 0DTE Credit Spread StrategyThis indicator is a specialized decision-support tool designed for SPX 0DTE Credit Spread sellers. Based on statistical analysis and feature engineering of historical SPX data, it helps traders identify the daily market "Context" to select the statistically safer side (Put vs. Call) and Strike prices.
这是一个专为 SPX 0DTE Credit Spread（贷方价差策略） 卖方设计的决策辅助工具。基于对 SPX 历史数据的统计分析与特征工程，该指标帮助交易者识别当天的市场“情境 (Context)”，从而选择统计学上更安全的方向（卖 Put 还是卖 Call）以及行权价。
🚀 Core Logic / 核心逻辑
Unlike traditional indicators based on RSI or MACD, this script focuses on Time-Series Context and Volatility Regimes: 与基于 RSI 或 MACD 的传统指标不同，本脚本专注于时间序列情境和波动率体制：
Gap Analysis (跳空分析):
Big Gap Up (> 0.5%): Historical data suggests an extremely high win rate for selling Calls (Short Call) on days with significant gap ups, as momentum often exhausts intraday.
大幅高开: 历史数据显示，在大幅高开的日子里，卖出 Call 的胜率极高，因为动能往往在日内耗尽。
Streak Filter (连势过滤):
Momentum Protection: If SPX has been up for 3+ consecutive days, the script blocks "Sell Call" signals to avoid fighting strong momentum. Conversely, it blocks "Sell Put" signals after 3+ down days.
动能保护: 如果 SPX 连涨 3 天以上，脚本会屏蔽“卖 Call”信号以防逆势；反之，连跌 3 天以上屏蔽“卖 Put”。
Inside Day Effect (孕线效应):
Days following an "Inside Day" (lower high and higher low than previous) are statistically safer for selling Puts due to mean reversion behavior.
“孕线”后的交易日，由于均值回归特性，卖 Put 通常具有更好的统计安全性。
ATR-Based Levels (ATR 动态点位):
Data mining reveals that Open + ATR(14) serves as a more robust resistance level for 0DTE Calls than traditional Pivot Points or VIX levels during intraday volatility.
数据挖掘显示，开盘价 + ATR(14) 比传统的 Pivot 点位更能作为 0DTE Call 端的稳健阻力位。
Z-Score Protection (均值乖离保护):
If the market is extremely oversold (Z-Score < -2.0), the script advises caution against selling Calls to prevent losses from "Dead Cat Bounces".
当市场极度超卖时，脚本会提示观望，防止“超跌反弹”打穿 Call 端。
🛠 Features / 功能特色
Real-time Dashboard (实时面板): Displays Gap %, Streak count, Inside Day status, and Z-Score in the top-right corner.
Dynamic Strategy Labels (动态策略标签): Automatically marks the recommended Strategy (e.g., "Sell Call (Prime)") and Strike Level on the chart.
Strike Levels: Visualizes the calculated safe Strike price based on your risk buffer settings.
Bilingual Support: Fully supports English and Chinese (switch via Settings).
实时面板: 右上角显示跳空幅度、连涨连跌天数、孕线状态及 Z-Score。
动态策略标签: 自动在图表上标记推荐策略（如“Sell Call (极佳)”）和建议点位。
点位可视化: 根据您的风险缓冲设置，画出计算出的安全行权价。
双语支持: 支持英文和中文一键切换（在设置中更改）。
⚙️ Settings / 参数设置
Show Chinese Language: Toggle between English and Chinese interface.
Call/Put Buffer: Adjust the safety margin (in points) added to the calculated levels.
Use Open+ATR: Enable/Disable the ATR-based logic for Call resistance (Recommended: ON).
⚠️ Disclaimer / 免责声明
This tool provides statistical probabilities based on historical data and is for informational and educational purposes only. It does not constitute financial advice. 0DTE options trading involves significant risk. Please use it at your own risk.
本工具仅基于历史数据提供统计概率，仅供信息参考和教育目的。不构成任何财务建议。0DTE 期权交易风险巨大，请您自行承担风险。
Volume-Edge Trend [wjdtks255]🚀 Volume-Edge Trend
1. Overview This indicator is designed to capture high-probability trend reversals by combining Market Structure Breakouts with Volume Confirmation. Instead of chasing every price movement, it analyzes the highest highs and lowest lows over a set period to identify true structural shifts. By filtering these moves with a 20-period volume average, it effectively eliminates weak "fakeouts" and focuses on high-conviction momentum.
2. How to Trade
📈 LONG Entry: * Enter when a green BUY label appears below the candle.
This signal confirms that price has broken above the previous structural high with significant buying volume.
💀 SHORT Entry: * Enter when a red SELL label appears above the candle.
This signal confirms that price has breached the previous structural low, backed by strong selling pressure.
🎯 Exit (TP/SL):
Use the thick, dynamic Trend Line as your trailing stop-loss.
For Longs, exit if the price closes below the green support line.
For Shorts, exit if the price breaks above the red resistance line.
3. Key Features
Structural Breakout Engine: Tracks price action across a customizable "Length" to detect when a market moves out of a consolidation zone.
Volume Surge Filter: Includes a built-in toggle to ensure signals only fire when trading volume exceeds its 20-period average, confirming institutional participation.
Real-time Trend Navigation: Features a dynamic background fill and a reinforced trend line that provides instant visual feedback on the current market bias.
4. Recommended Settings
Length (Analysis Period): 14 (Optimized for standard trend following).
Volume Filter: Keep "On" to maximize signal accuracy.
Timeframe: Highly effective on 15m, 1H, and 4H charts for volatile assets like BTC, ETH, and NASDAQ.
Axel Indikator [Cloud]Hope u enjoy this!
Indikator khusus orang-orang terpilih dan good looking
Instagram @axelleonard8
Median Anchor Oscillator [ALPHA]ALPHA – Median Anchor Oscillator
A clean, outlier-resistant z-score oscillator built around a rolling median (not mean) and Median Absolute Deviation (MAD) instead of standard deviation.
Key features:
- Green/red histogram shows deviation strength from the median anchor
- Dashed lines at ± threshold (default 2.5 – adjustable)
- Optional purple fill for extreme zones
- Auto-scales perfectly (no price squish on BTC or high-value assets)
Ideal for mean-reversion traders spotting overextension or "gravity" pullbacks.
SHORT = breaching top dashed line (red)
LONG = breaching bottom dashed line (green)
Use with a MACD or RSI for those divergence signal confirmations.
This is ALPHA – early version, still tuning.
Companion overlay suite (medians, pivot, signals, RSI overlay) coming in future, possible standalone update(s).
Feedback / suggestions very welcome!
Tags: z-score, median, oscillator, mean-reversion, BTC, crypto, deviation
HMA Trend Scalper [wjdtks255]🚀 HMA Trend Scalper V1: Ultimate Precision Strategy
1. Overview
This indicator captures immediate market trend reversals based on the high-responsiveness of the HMA (Hull Moving Average). It doesn't just show direction; it simultaneously calculates ATR-based volatility to generate optimal Take Profit (TP) and Stop Loss (SL) lines in real-time.
2. How to Trade
🚀 LONG Entry:
The HMA line must be Green, and the price must be positioned above the line.
Enter when the price breaks above the high of the last 5 bars and the 🚀 LONG label appears.
💀 SHORT Entry:
The HMA line must be Red, and the price must be positioned below the line.
Enter when the price breaks below the low of the last 5 bars and the 💀 SHORT label appears.
🎯 Exit (TP/SL):
Close the position immediately when the price touches the Aqua line (TP) or the Yellow line (SL).
3. Key Features
Smart Cleaning: By enabling the 'Hide Past Records' option, the indicator automatically removes previous labels and lines when a new signal occurs, keeping your chart clean and focused.
Real-time Tracking: TP and SL lines extend candle-by-candle as the price moves, providing superior readability for active trades.
High Visibility: Status panels like 🎯 TP Hit or ⚠️ SL Hit are generated upon trade completion, allowing you to intuitively track your trading results.
4. Recommended Settings
Sensitivity: 15 (Optimized for Scalping).
TP/SL Multipliers: Fully customizable to fit your personal risk-to-reward strategy.
Toby Crabel's HisVolAs in Linda Raschke's Street smarts..... . This indicator shows the signals of Toby Crabel's Historical Volatility 6/100 strategy. The strategy assumes, that volatility contraction measured by two measures would give better results.
There is one other script that is a strategy , but it assumes that the signal requires both inside bar and narrowest range, what is not as in Linda Raschke's.
The strategy and what does the script do:
1) measures short-term unannualized volatility (by default six), long term uannualized volatility (by default 100), and measures the ratio of short volatility / long volatility.
2) checks if the current bar is an inside bar or has narrowest range out of last X bar (by default 4), or both,
3) puts an etiquette if short volatility / long volatility is equal to or smaller than 0,5 AND the day is inside bar, has narrowest range, or both.
Next day both buy-stop and sell-stop should be set. Buy-stop at the high and sell-stop at the low of the bar with etiquette.
This is by no means any financial advice, nor the historical results guarantee future gain.
Volatility Adaptive Precision Trend [JOAT]Volatility Adaptive Precision Trend – REGMA/ZLEMA Trend & Volatility Engine
IMPORTANT NOTES (READ FIRST)
This is an indicator (not a strategy). It does not place trades. It provides a structured trend and volatility framework.
This script is written in Pine Script v6 and is intended to be used on standard candlestick charts .
Source code visibility: This script is published as Protected Source (closed-source) . The purpose is to protect the work from unauthorized re-uploads/copies and to maintain a stable versioning path. This description is intentionally detailed so you can understand what the indicator does and how to use each feature without needing access to the implementation.
Protected Source / Closed-Source Clarification
Protected source does not mean "trust me blindly". It means the internal implementation is not publicly viewable.
The operational behavior is documented here: what is plotted, what each dashboard cell means, what each input controls, and how to interpret the output.
If you see re-uploads or near-identical copies elsewhere, treat them with caution and rely on the official publication.
Overview
Volatility Adaptive Precision Trend (VAPT) is a professional trend engine designed to stay responsive in fast markets while remaining stable in chop. It combines:
Regularized EMA (REGMA) – advanced smoothing with lambda parameter for noise reduction while maintaining responsiveness
Zero-Lag EMA (ZLEMA) – optional mode that eliminates traditional EMA lag for faster trend detection
Adaptive ATR Bands – volatility-based envelopes that expand and contract with the regime
Dynamic Risk Zones – extended envelopes beyond bands highlighting extreme stretch areas
Session Analysis – Asian, London, and New York session awareness with background shading
Professional Gradient Visualization – multi-layer trend lines with strength-based coloring
The purpose is to provide a clean, adaptive trend framework that adjusts to volatility conditions automatically.
What Makes It Original (Originality & Usefulness)
This script is not a simple moving average with bands. It is a coordinated workflow:
REGMA/ZLEMA Hybrid introduces a regularization term into the EMA recursion: REGMA = alpha x price + (1-alpha) x (REGMA + lambda x (price - REGMA ))
Adaptive Volatility Engine combines fast and slow ATR measures to estimate whether volatility is expanding or contracting
Volatility Regime Classifier compares current ATR to its moving average and standard deviation to label conditions as LOW/NORMAL/HIGH
Trend Strength Model measures distance between fast and slow trend lines, normalized by ATR
Session Context provides awareness of major trading sessions for regime interpretation
The combination creates a trend system that adapts to market conditions rather than using static parameters.
1) Chart Visuals – What You See on the Chart
A) Trend Lines (REGMA or ZLEMA)
Three trend lines form the core spine:
Trend Core – thickest line (linewidth 4), full gradient color, primary decision spine
Trend Mid – medium line (linewidth 2), slightly transparent, provides depth
Trend Fast – thin line (linewidth 1), emphasizes short-term shifts around the core
All lines share the same gradient which transitions from bull tones to bear tones as normalized strength crosses through zero.
REGMA Mode:
Lambda parameter (0.0-1.0) controls regularization strength
Lambda = 0.0 = standard EMA behavior
Higher lambda = more smoothing, reduced noise
Default lambda = 0.5 for optimal balance
ZLEMA Mode:
Compensates for EMA lag by subtracting half-length delay before smoothing
Creates faster, more reactive spine
Toggle between modes based on preference
B) ATR Bands and Risk Clouds
Upper/Lower Bands – ATR x multiplier around the trend spine, semi-transparent envelopes
Upper/Lower Risk Zones – extended envelopes (1.5x ATR multiplier) beyond bands, lightly filled
Three regimes created:
Inside bands = "normal" price movement
Between band and risk cloud = elevated excursion
Beyond risk cloud = extreme stretch (often precedes reversion or acceleration)
C) Signal Labels (optional)
When enabled, VAPT marks:
BULL – when trend direction flips positive with sufficient strength (> signal threshold)
BEAR – when direction flips negative with sufficient strength
VOL – when volatility expansion event is detected (regime shifts to HIGH)
Labels are compact, positioned at local highs/lows to avoid overlapping bands.
D) Background Layers
Session background – subtle tint showing active session (Asian=blue, London=orange, NY=green) or OFF-HOURS
Price position tint – faint red when price sits above upper band, faint green when below lower band
2) VAPT System Dashboard – Full Glossary
A compact table in the top-right corner displays:
Row 1 – Trend
BULLISH : Fast trend line > Slow trend line
BEARISH : Fast trend line < Slow trend line
NEUTRAL : Lines approximately equal
Row 2 – Strength
Absolute normalized trend strength in percent (0-100%)
Calculated as distance between fast and slow lines, normalized by ATR, clipped to -1 to +1 range
Higher values = stronger directional conviction
Row 3 – Volatility
LOW : ATR < (ATR MA - 1 StdDev) – compressed ranges, mean-reverting behavior
NORMAL : ATR within +/-1 StdDev of MA – typical oscillation
HIGH : ATR > (ATR MA + 1 StdDev) – trending, impulsive conditions
Row 4 – ATR
Current Average True Range value
Useful for stop-loss placement and position sizing
Row 5 – Position
ABOVE BANDS : Price > upper band (potential overbought, bearish reversal context)
BELOW BANDS : Price < lower band (potential oversold, bullish reversal context)
IN BANDS : Normal price action, trend continuation context
Row 6 – Session
ASIAN : 20:00-00:00 UTC
LONDON : 03:00-12:00 UTC
NEW YORK : 09:30-16:00 UTC
OFF-HOURS : Outside major sessions
3) How the Engines Work (High-Level)
REGMA Calculation:
alpha = 2.0 / (length + 1.0)
REGMA = alpha x price + (1 - alpha) x (REGMA + lambda x (price - REGMA ))
Lambda term pulls the EMA path toward smoothness
ZLEMA Calculation:
lag = floor((length - 1) / 2)
ema_data = price + (price - price )
ZLEMA = EMA(ema_data, length)
Adaptive ATR Calculation:
atr_base = ATR(length)
atr_fast = ATR(length / 2)
atr_slow = ATR(length x 2)
volatilityRatio = atr_fast / atr_slow
adaptedATR = atr_base x volatilityRatio (when adaptive mode enabled)
Trend Strength Calculation:
diff = fast_trend - slow_trend
strength = diff / ATR
normalizedStrength = clamp(strength, -1, +1)
Signal Generation:
Bullish: trend direction changes from non-positive to positive AND strength > signal threshold
Bearish: trend direction changes from non-negative to negative AND strength < -signal threshold
Volatility Expansion: regime shifts from LOW/NORMAL to HIGH
4) Inputs & Settings – Full Reference
Trend System
Trend Period (default: 34): Base period for core trend spine. Larger = stability; smaller = sensitivity.
REGMA Lambda (default: 0.5): Regularization factor. 0.0 = standard EMA, higher = more smoothing.
Enable Zero-Lag Mode : Switches from REGMA to ZLEMA for faster response.
Volatility Bands
ATR Multiplier (default: 2.0): Width of bands around trend spine.
ATR Period (default: 14): Period for ATR calculation.
Adaptive Band Width : Toggles dynamic scaling based on volatility regime.
Session Analysis
Enable Session Zones : Toggle session background shading.
Asian Session (default: 2000-0000): Configurable session time.
London Session (default: 0300-1200): Configurable session time.
New York Session (default: 0930-1600): Configurable session time.
Signal Generation
Show Trend Changes : Toggle BULL/BEAR labels.
Show Volatility Expansion : Toggle VOL labels.
Signal Threshold (default: 0.3): Minimum strength for signal generation.
Visual Settings
Color Theme : Classic, Deep Purple, Sweden, Ocean, or Monokai.
Band Transparency (default: 90): Controls fill opacity for bands.
Show Risk Zones : Toggle extended risk cloud visibility.
5) Recommended Workflow (Practical Use)
For Scalping (1-5 min charts):
Trend Period: 21
ATR Multiplier: 1.5
Signal Threshold: 0.2
For Day Trading (5-30 min charts):
Trend Period: 34 (default)
ATR Multiplier: 2.0 (default)
Signal Threshold: 0.3 (default)
For Swing Trading (1H-4H charts):
Trend Period: 55
ATR Multiplier: 2.5
Signal Threshold: 0.4
For Position Trading (Daily charts):
Trend Period: 89
ATR Multiplier: 3.0
Signal Threshold: 0.5
Step-by-Step Usage:
Step 1 – Check dashboard Trend and Strength for directional bias
Step 2 – Note Volatility regime (avoid fighting strong bands when HIGH)
Step 3 – Use Position readout to identify stretched vs normal conditions
Step 4 – Consider Session context for move quality assessment
Step 5 – Enter on pullbacks toward core trend line from beyond bands in strong trends
Step 6 – Use mean-reversion ideas primarily when volatility is LOW
Step 7 – Manage risk externally using ATR for stop placement
6) Alerts
VAPT ships with alert conditions for:
VAPT Bullish Signal : Bullish trend change detected
VAPT Bearish Signal : Bearish trend change detected
VAPT Volatility Expansion : High volatility regime entered
VAPT Price Above Bands : Price exceeded upper band
VAPT Price Below Bands : Price exceeded lower band
Recommended: Attach alerts to "Once Per Bar Close" to avoid reacting to intra-bar fluctuations.
7) Limitations & Best-Use Guidance
VAPT is an analytical tool, not an automatic trading system. It does not manage orders or risk for you.
Normal caution around indicator lag, volatility shocks, and gaps still applies.
Back-testing any workflow built on this indicator should account for realistic spreads, slippage, and commissions.
Always validate settings on your own symbols and timeframes; there is no single configuration that suits every market.
Session times are in exchange timezone; adjust if needed for your specific instruments.
Disclaimer
This script is for educational and informational purposes only. It does not constitute financial advice. Trading involves risk, and you are responsible for your own decisions, sizing, and risk controls. Always test settings and workflows in a simulated environment before using them in live markets.
-Made with passion by officialjackofalltrades
Winners Scalper Pro - Bull/Bear (v1.5)best settings all standart but only change rsi
15 min rsi 8-9
30 min rsi 12-14
