Smart SafeZone Stops [MarkitTick]💡 This script represents a sophisticated evolution of volatility-based trailing stop methodologies. It is designed to assist traders in managing trend-following positions by dynamically adjusting stop-loss levels based on market noise, directional momentum, and volume flows. Unlike static trailing stops that move by a fixed percentage or simple ATR multiples, this tool calculates the "safe zone" by analyzing how far price has penetrated against the trend over a specific lookback period, offering a granular approach to risk management that adapts to changing market conditions.
✨ Originality and Utility
The primary utility of this indicator lies in its ability to filter out market noise while remaining tight enough to protect profits during strong trends. While the classic SafeZone concept (popularized by Dr. Alexander Elder) is effective, this script introduces several modern enhancements that increase its robustness:
● Dynamic ADX Integration Standard SafeZone stops use a fixed multiplier. This script integrates the Average Directional Index (ADX) to gauge trend strength. When the trend is strong, the stop tightens (Aggressive Multiplier) to lock in profits rapidly. When the trend is weak or choppy, the stop widens (Conservative Multiplier) to prevent premature shakeouts. ● Volume-Weighted Noise Price movement on low volume is often considered "noise," while high-volume movement signifies conviction. This script optionally weights the noise calculation by Relative Volume. A downward spike on low volume will affect the stop level less than a downward spike on high volume.
● 3-Day Smoothing Mechanism To prevent the stop line from becoming too jagged or reacting to single-bar anomalies, the script applies a 3-day smoothing algorithm. It utilizes the "worst-case" scenario of the last three calculated stop levels, ensuring the stop only moves when the trend structure genuinely shifts.
🔬 Methodology and Concepts
The underlying logic operates on a "Ratchet" mechanism, meaning the stop line can only move in the direction of the trade (up for longs, down for shorts) and never retraces until a trend reversal occurs.
● Directional Noise Calculation The script separates market noise into two components: Downside Penetration (for Longs): The distance the price dips below the previous bar's low. Upside Penetration (for Shorts): The distance the price spikes above the previous bar's high. The average of these penetrations is calculated over the Noise Lookback Period .
● The SafeZone Formula The raw stop level is derived as follows: Long Stop = Previous Low - (Average Downside Noise × Multiplier) Short Stop = Previous High + (Average Upside Noise × Multiplier)
● Adaptive Multiplier Logic If Dynamic ADX is enabled: If ADX > Strong Threshold: Use Aggressive Multiplier (e.g., 1.5x). If ADX < Weak Threshold: Use Conservative Multiplier (e.g., 3.5x). Otherwise: Use the Base Safety Coefficient.
● Exhaustion Detection The script calculates the distance between the current Close price and the Active Stop. If this distance exceeds a specific multiple of the ATR (Average True Range), it flags a "Mean Reversion" or "Exhaustion" warning, suggesting price has extended too far from equilibrium.
🎨 Visual Guide
The indicator plots distinct visual elements to guide decision-making without cluttering the chart excessively.
● Trailing Stop Lines Green Line (Solid): Represents the SafeZone Long Stop. This line appears below price during an uptrend. As long as price closes above this line, the bullish bias is intact. Red Line (Solid): Represents the SafeZone Short Stop. This line appears above price during a downtrend. A close above this line signals a potential short exit or reversal.
● Trend Signals Green Triangle (Below Bar): Marks the "Bull Start." This occurs when the price crosses above the Trend Filter EMA and the trend logic flips to bullish. Red Triangle (Above Bar): Marks the "Bear Start." Indicates the start of a downtrend sequence.
● Exhaustion Warnings Yellow Labels (⚠️): These appear when price has extended significantly away from the stop line (based on the ATR Exhaustion Multiplier). This is not an immediate sell signal but a warning that the trend may be overextended and a pullback is probable.
● MTF Consensus Cloud Background Color: If enabled, the chart background changes color to reflect the Higher Timeframe (HTF) trend. Green Background: Current trend matches HTF Uptrend. Red Background: Current trend matches HTF Downtrend. Gray Background: Trends are mismatched (Consolidation/Conflict).
● Quantitative Dashboard A table located in the top-right corner displays real-time statistics: Trend: Current state (BULLISH/BEARISH). Age: Number of bars since the trend began. Stop Price: Exact price level of the trailing stop. Risk %: The percentage distance from the current Close to the Stop. If this exceeds 3%, the text turns red to highlight elevated risk. Active Mult: The current multiplier being used (Dynamic or Fixed). ADX State: Shows if the trend is Strong, Weak, or Normal.
📖 How to Use
1. Entry Timing Wait for a Trend Switch signal (Triangle). For a long entry (Green Triangle), ensure the price is above the Trend Baseline (EMA). Ideally, look for confluence with the MTF Cloud (Green Background).
2. Position Management Once in a trade, use the Trailing Stop Line as your hard exit or invalidation point. Do not manually move the stop away from price; the script automatically "ratchets" the stop tighter as the trend progresses.
3. Taking Profits Use the "Exhaustion Warnings" (⚠️) as opportunities to scale out of positions. When price moves parabolically away from the stop line, the probability of a snap-back increases.
4. Managing Chop If the dashboard shows "ADX State: WEAK," expect the stop line to remain wider. This allows the asset "room to breathe" without stopping you out on random volatility.
⚙️ Inputs and Settings
The script is highly customizable to fit different asset classes (Crypto, Forex, Stocks).
● Trend Definitions Trend Filter (EMA Length): Determines the baseline trend bias (Default: 22). Price must be above this EMA to initiate a long calculation.
● Noise Calculation Noise Lookback Period: The number of bars used to calculate average penetration (Default: 10). Base Safety Coefficient: The standard multiplier applied to the noise average (Default: 2.5). Higher values = wider stops. Use Volume Weighting: Enables the volume-adjustment logic. Use 3-Day Smoothing: Recommended keeping this TRUE to avoid stop-hunts.
● Dynamic Multiplier (ADX) Enable Dynamic ADX: Toggles the adaptive multiplier. Strong/Weak Thresholds: The ADX levels that trigger aggressive or conservative multipliers.
● Multi-Timeframe Consensus Higher Timeframe: Select the TF for the cloud background (e.g., Daily or Weekly).
● Exhaustion Warning ATR Multiplier: Defines how far price must be from the stop to trigger a warning (Default: 3.0).
🔍 Deconstruction of the Underlying Scientific and Academic Framework
The "Smart SafeZone" indicator is grounded in the statistical analysis of market noise versus signal.
● Theory of Noise Penetration Conventional stops often use Standard Deviation (Bollinger Bands) or Average True Range (Keltner Channels/Chandelier Stops). While effective, these measures assume volatility is symmetrical. This script adopts the view that directional volatility matters more. In an uptrend, upside volatility is "good" signal, while downside volatility is "noise." By explicitly calculating the average downside penetration (Low - Low), the script isolates the specific counter-trend force acting on the asset. ● Volume-Weighted Price Analysis (VWPA) The inclusion of volume weighting draws upon Dow Theory principles, which state that volume must confirm the trend. Math: Penetration × (Volume / AverageVolume) This formula asserts that a price drop on low volume is statistically less significant than a drop on high volume. By dampening the impact of low-volume moves, the stop becomes more resistant to liquidity vacuums and algorithmic stop-hunts.
● Trend Efficiency (ADX) The integration of J. Welles Wilder’s ADX (Average Directional Index) adds a dimension of Trend Efficiency. High ADX values indicate a highly efficient trend with little retracement. Mathematically, this justifies a lower standard deviation (or noise multiplier) for the stop, as the probability of a deep retracement without a trend change is lower in high-momentum environments.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Trendfollowing
Cyberpunk Vortex IndicatorCyberpunk Vortex Indicator is a visually enhanced Vortex-based momentum indicator designed to clearly capture trend strength and directional dominance.
This indicator calculates VI+ (bullish pressure) and VI− (bearish pressure) using the classic Vortex methodology, then renders them with a layered neon cyberpunk-style glow for maximum readability and impact.
🔹 Key Features
・Vortex Indicator (VI+ / VI−) with SMA smoothing
・Multi-layer laser-style glow (outer / inner / core lines)
・Clear visual distinction between bullish and bearish momentum
・Subtle background and fill effects for intuitive trend recognition
・Clean, modern design without clutter
🔹 How to Use
・VI+ above VI− → Bullish momentum dominates
・VI− above VI+ → Bearish momentum dominates
・The 1.0 baseline helps identify strengthening or weakening trends
・Best used as a trend confirmation tool, not a standalone signal
🔹 Recommended Timeframes
Works well across multiple timeframes.
Commonly effective on 15m, 1H, 4H, and higher.
This indicator focuses on clarity, aesthetics, and momentum visualization, making it ideal for traders who value both performance and design.
Cyberpunk Vortex Indicator は、トレンドの強さと方向性を直感的に把握するために設計された、視認性とデザイン性を重視したボルテックス系モメンタム指標です。
クラシックな Vortex Indicator（VI+ / VI−）をベースに、サイバーパンク調のネオン発光レイヤーで描画することで、買い圧力・売り圧力の優位性を一目で判断できます。
🔹 特徴
・Vortex Indicator（VI+ / VI−）をSMAでスムージング
・外側・内側・芯の3層レーザー風グロー表現
・上昇 / 下降モメンタムの視認性を大幅に向上
・控えめな背景・塗りつぶしで相場の空気感を演出
・ノイズの少ない、洗練されたデザイン
🔹 使い方
・VI+ が VI− を上回る → 上昇トレンド優勢
・VI− が VI+ を上回る → 下降トレンド優勢
・1.0 の基準線でトレンドの勢いを確認
・単体判断ではなく、トレンド確認用としての使用を推奨
🔹 推奨時間足
マルチタイムフレーム対応。
特に 15分足 / 1時間足 / 4時間足以上で安定。
本インジケーターは
「見やすさ」「美しさ」「モメンタムの可視化」を重視しており、
デザインと実用性の両立を求めるトレーダー向けです。
Adaptive RSIAdaptive RSI
Adaptive RSI is an enhanced version of the classic Relative Strength Index designed to automatically adjust its behavior to changing market conditions. The indicator can operate both as a mean-reversion oscillator and as a trend-following momentum tool, allowing traders to detect high/low value zones while also capturing directional moves.
Unlike the traditional RSI, which uses a fixed smoothing method, Adaptive RSI dynamically changes its calculation speed depending on market activity. This helps reduce false signals in slow or choppy markets while allowing faster responses during strong moves.
🔍 Concept & Idea
The goal behind Adaptive RSI is to make RSI responsive when opportunities appear and more conservative during uncertain or low-activity environments.
By automatically adjusting its internal smoothing and reaction speed, the indicator attempts to balance:
• Early entries during strong market moves
• Reduced noise during consolidation
• Mean-reversion opportunities in ranging markets
• Momentum confirmation in trending markets
This adaptive behavior makes the oscillator more versatile across multiple market conditions.
⚙️ How It Works
The indicator evaluates market activity using three drivers:
• True Range (volatility)
• Volume activity
• Rate of price change
Users can define which of these factors has priority. The script then checks up to three conditions; the more conditions that are satisfied, the faster and more responsive the RSI calculation becomes.
This creates multiple internal speed tiers ranging from smooth and conservative to highly responsive.
After the adaptive RSI is calculated, an additional adaptive smoothing layer is applied using the same logic, improving signal clarity while preserving responsiveness.
An optional feature allows the RSI to use a special Rate-of-Change weighted price source. This feature is more advanced and mainly intended for users who understand how weighted price construction affects oscillators.
A divergence measure between the base RSI and the smoothed Adaptive RSI is also plotted to help visualize shifts in momentum strength.
⚙️ Key Features
• Adaptive RSI calculation speed
• Works for both trend-following and mean-reversion approaches
• Adjustable long and short signal thresholds
• Overbought and oversold zone highlighting
• Divergence histogram between RSI and adaptive smoothing
• Trend-based coloring and visual signal markers
• Optional ROC-weighted source for advanced users
🧩 Inputs Overview
• RSI calculation length and smoothing length
• Price source selection or optional special weighted source
• Speed tier selection (slow, medium, fast behavior)
• Activity priority order (volatility, volume, momentum)
• Long/short and overbought/oversold thresholds
📌 Usage Notes
• Can be used both for trend continuation and mean-reversion strategies.
• Adaptive logic helps reduce noise during sideways markets.
• Strong moves may cause faster RSI transitions due to adaptive speed selection.
• Signals may update intrabar on lower timeframes.
• Works best when combined with risk management and confirmation tools.
• No indicator is perfect; always test before live use.
This script is intended for analytical purposes only and does not provide financial advice.
Sigmoid Risk AllocatorThe Sigmoid Risk Allocator is a dynamic position sizing indicator that tells you how much of your capital to allocate based on current market conditions. Unlike simple "risk-on/risk-off" signals, this indicator gives you smooth, gradual transitions based on a sigmoid function.
Why a Sigmoid Curve?
Most position sizing approaches use fixed thresholds: "If drawdown > 20%, buy. Otherwise, don't." This creates all-or-nothing decisions.
Using the sigmoid (S-curve) makes this decision different. It creates a smooth transition where:
Small drawdowns → Stay near your baseline allocation
Moderate drawdowns → Gradually increase exposure
Large drawdowns → Approach maximum allocation
The sigmoid curve naturally "saturates" at the extremes, preventing you from going all-in too early or panicking out too fast. This is very useful to meek traders psychology and risk management in check.
What's a Sigmoid Function?
The sigmoid function is a mathematical S-curve defined as:
σ(x) = 1 / (1 + e^(-x))
This formula takes any input value and smoothly maps it to a number between 0 and 1. The curve has three key properties that make it ideal for position sizing in investing:
Smooth transitions: No sudden jumps. Allocation changes gradually.
Saturation at extremes: The curve flattens near 0 and 1, preventing overreaction and overexposure.
Sensitive in the middle: Most of the action happens around the midpoint.
To convert this into an allocation percentage, the indicator uses:
Allocation = α_min + (α_max - α_min) × σ(k × (Risk - Midpoint))
Where:
- `α_min` = Your minimum allocation (default 50%)
- `α_max` = Your maximum allocation (default 100%)
- `Risk` = Current risk metric (drawdown %, volatility, or Kelly %)
- `Midpoint` = The risk level where allocation sits halfway between min and max (default 15%)
- `k` = Steepness—how quickly allocation changes around the midpoint
Example : With defaults, if drawdown hits 15% (the midpoint), your allocation will be 75% (halfway between 50% and 100%). As the drawdown increases beyond 15%, the allocation curves toward 100%. As it decreases toward 0%, allocation curves toward 50%.
Cool, isn't it?
Asymmetric Response: Fast In, Slow Out
The indicator uses different steepness values for scaling in vs. scaling out. This is great to increase trend following. This is something I'm proud of too in this indicator.
k_increase = 30 (steep curve): When drawdowns appear, allocation ramps up quickly to catch the opportunity
k_decrease = 5 (slower curve): When conditions normalize, allocation decreases slowly to avoid selling the rebound
This asymmetry reflects how markets behave—drawdowns often overshoot fundamentals (rewarding quick entries), while recoveries tend to be more orderly (rewarding patience on exits).
Three Risk Metrics
You can choose what drives your allocation:
Drawdown (Default)
Volatility - Scales your position inversely to current market volatility.
Kelly Criterion - Automatically calculates optimal position size. The indicator applies a conservative "half Kelly" by default.
Use Cases
Position sizing for swing trading or trend following
Risk management overlay for any existing strategy
Drawdown-based DCA (dollar cost averaging) decisions
Volatility-adjusted exposure management
Feel free to provide feedback and share your thoughts!
- Henrique Centieiro
1-2-3 Reversal Strategy [Stormer Trend]Title: 1-2-3 Reversal Strategy
ENGLISH DESCRIPTION: OVERVIEW This indicator identifies the classic 1-2-3 Setup but optimized for Trend Following. Instead of trying to pick bottoms in a downtrend, this script filters for 1-2-3 patterns that occur in favor of the major trend (Continuations).
THE DUAL FILTER (EMA 7 + EMA 70) To reduce false signals, the script applies a strict trend filter by default:
BUY Signals: Only appear if the price is ABOVE both EMA 7 and EMA 70.
SELL Signals: Only appear if the price is BELOW both EMA 7 and EMA 70.
Result: You trade reversals that align with the dominant momentum.
FEATURE: THE GOLDEN SIGNAL (123+)
🟡 GOLD BAR: Happens when the 1-2-3 setup bar is also an Inside Bar.
Why: Combines Pivots + Volatility Contraction. Highly explosive.
HOW TO OPERATE
Timeframe: Weekly/Daily.
Entry: Breakout of the signal bar.
Stop: Technical stop at the pivot point (Bar 2).
Disclaimer: Educational tool only.
Larry Williams 9.1 Setup [Stormer Filter]Title: Larry Williams 9.1 Setup
Description: Overview This script is designed for Position Traders seeking to capture major trends, specifically optimized for the Weekly Timeframe. It is based on the classic Larry Williams 9.1 Setup, enhanced with a Trend Filter as described in the "Stormer Setups Manual" methodology.
Mathematical Logic The indicator removes subjectivity by monitoring two conditions:
The Trigger (Setup 9.1): It detects when the 9-period Exponential Moving Average (EMA) turns UP.
Rule: Current EMA9 > Previous EMA9 AND Previous EMA9 < EMA9 (2 bars ago).
The Trend Filter (Stormer's Rule): To increase the Mathematical Expectation of the trade, the signal is only valid if the Close price is ABOVE the EMA 80. This ensures we are trading in favor of the primary trend.
Visual Guide
Green/Red Line: EMA 9. Green when rising, Red when falling.
Gray Line: EMA 80 (Long-term Trend).
Yellow Bar + "BUY" Label: Indicates the setup is armed.
Dashed Green Line: Automatically plots the entry point (High of the signal bar + 0.01).
How to Operate (Position Trade)
Timeframe: Weekly (1W) is recommended.
Entry: Place a Buy Stop order at the break of the Yellow Bar's high.
Stop Loss: Initially at the low of the Yellow Bar.
Disclaimer: This tool is for educational purposes and assists in decision-making. It does not constitute financial advice. Always use proper risk management.
Speed Coding EMA MACD strategySpeed Coding EMA MACD Strategy
Speed Coding EMA MACD Strategy is a powerful intraday trading strategy designed to deliver high-probability trend and momentum-based entries, especially for Index Options Trading such as NIFTY, BANKNIFTY, and FINNIFTY.
This strategy combines two of the most reliable technical tools:
• EMA (Exponential Moving Average) for trend direction
• MACD (Moving Average Convergence Divergence) for momentum confirmation
⸻
🔥 What Makes This Strategy Unique?
The key strength of this strategy is its fully adjustable input system.
All major parameters are provided inside the Inputs tab, allowing traders to:
✅ Modify settings based on market conditions
✅ Optimize values for different timeframes (5m / 15m / 30m)
✅ Improve accuracy through backtesting
✅ Achieve the best possible results in Index Options trading
This strategy is not fixed — it is built for custom optimization, so users can fine-tune it to match their trading style.
⸻
⚙️ Customizable Inputs for Optimization
The strategy includes complete parameter control:
• EMA Length (Trend sensitivity adjustment)
• MACD Fast / Slow / Signal Length (Momentum filtering)
• Intraday Session Filter (Avoid unwanted trading hours)
• Max Trades Per Day (Prevents overtrading)
• Target % and Stoploss % (Risk management customization)
👉 Pro Tip:
For best-to-best performance, users should backtest and optimize EMA & MACD parameters according to the selected index and timeframe.
⸻
🎯 Best Use Case
This strategy performs best in:
✅ Intraday Index Options Trading
✅ Strong trending market conditions
✅ 5-Minute and 15-Minute charts
✅ Disciplined setups with controlled risk
⸻
⚠️ Disclaimer
This strategy is for educational and research purposes only.
Please perform proper backtesting and use risk management before applying it in live trading.
⸻
🚀 Developed By
Speed Coding Infotech
House Rules SuperTrend Strategy (ATR-Based, Non-Repainting)📝 DESCRIPTION
Overview
The House Rules SuperTrend Strategy is a clean, rule-based trading strategy built using Pine Script® v6.
It is designed for transparent backtesting, non-repainting signals, and simple trend-following execution across all markets and timeframes.
This strategy uses TradingView’s built-in SuperTrend indicator, which is derived from Average True Range (ATR), to identify trend direction changes and generate long and short trades.
How the Strategy Works
Long Entry
A long position is opened when the SuperTrend flips from bearish to bullish
This confirms a potential upward trend shift
Short Entry
A short position is opened when the SuperTrend flips from bullish to bearish
This confirms a potential downward trend shift
Exits
Positions are closed when either:
The opposite SuperTrend signal appears, or
The ATR-based Stop Loss or Take Profit is reached (if enabled)
All signals are calculated on confirmed candle closes only, ensuring accurate and fair backtesting.
Risk Management
Optional ATR-based Stop Loss
Optional ATR-based Take Profit
Position sizing based on percentage of equity
Commission included for realistic performance results
All parameters are user-adjustable from the settings panel.
Backtesting & Transparency
This is a strategy, not an indicator
No repainting
No future data usage
No hidden filters
No lookahead bias
Fully compatible with TradingView’s Strategy Tester
Users are encouraged to test different symbols, timeframes, and parameter values to suit their trading style.
Recommended Use
This strategy can be used on:
Cryptocurrencies
Forex
Stocks
Indices
Futures
It performs best in trending market conditions and may underperform during low-volatility or ranging markets.
Disclaimer
This script is provided for educational and research purposes only.
It is not financial advice. Always test and validate strategies before using them in live trading.
Kijun Equilibria v3.0 [by Oberlunar]Kijun Equilibria v3.0 is an equilibrium-based indicator that builds a multi-timeframe “Kijun cloud” and adds a mean-reversion (pullback) detector on top of it. The equilibrium line can be computed using Adaptive Envelope, Ichimoku Midrange, KAMA, HMA, EMA, or SMA. The script calculates the selected equilibrium on the chart timeframe and on three additional user-selected timeframes, then uses the highest and lowest equilibrium values to form a cloud that highlights where timeframes disagree (dispersion) and where they compress into a tighter balance zone.
Directional context is summarized through a per-timeframe bias score and an aggregated consensus bias (LONG, SHORT, or NEUTRAL). Pullback (PB) conditions are evaluated with an Ornstein–Uhlenbeck model applied to the deviation between price and the equilibrium line; the script derives a z-like stretch measure and a normalized κ (kappa) strength, and can optionally adapt the z-threshold based on recent behavior.
When a stretch condition is followed by a re-entry/cross back toward the cloud or baseline, the indicator can print pullback labels and/or a graded mean-reversion background, depending on the selected visual options. The fog fills are a visual aid that shades the space between equilibrium lines across timeframes to make dispersion and compression immediately visible.
An optional Sideways module is included to explicitly detect consolidations using a composite range score (volatility compression and stability features) with entry/exit confirmations and a hard-break invalidation rule. When confirmed, the script can paint a translucent yellow band around the base equilibrium, optionally recolor candles, and optionally draw range boxes that track the active corridor.
All signals and visuals are informational only, use no future-looking data (lookahead is disabled in all security calls), and should be validated on the user’s market and timeframe with appropriate risk management.
by Oberlunar 👁★
Momentum Pivot Breakout ProMomentum Pivot Breakout Pro
OVERVIEW
Momentum Pivot Breakout Pro is a sophisticated trading strategy designed to identify and capitalize on significant price breakouts in trending markets. This system combines multiple technical analysis concepts to generate high-probability trade setups with disciplined risk management.
KEY FEATURES
Trend-Aligned Trading
- Identifies the dominant market direction
- Takes trades only in alignment with the prevailing trend
- Filters out counter-trend noise
Intelligent Entry Detection
- Identifies key price levels automatically
- Waits for confirmed breakout conditions
- Optional volume confirmation filter
Advanced Risk Management
- ATR-based initial stop-loss placement
- Dynamic trailing stop mechanism
- Protects profits while allowing trends to develop
- Stop-loss adapts to market volatility
Flexible Trade Direction
- Trade both directions (Long & Short)
- Long-only mode for bullish markets
- Short-only mode for bearish markets
Customizable Parameters
- Adjustable pivot detection sensitivity
- Configurable ATR settings
- Customizable stop-loss multipliers
- Volume filter toggle
USER INPUTS
Trade Direction: Choose between Both, Long Only, or Short Only
P Length (LR): Controls sensitivity of level detection
ATR Length: Volatility measurement period
Initial SL: Initial stop-loss distance multiplier
Trailing SL: Trailing stop distance multiplier
Volume SMA Length: Volume filter period
Use Volume Filter: Enable/disable volume confirmation
WHAT YOU SEE ON CHART
- Active Stop Loss (Red Line) - Current protective stop level
- Entry Price (White Line) - Your entry point when in trade
- Trailing Activation (Orange Circles) - Price level where trailing begins
⚠️ RISK MANAGEMENT
This strategy employs a two-stage stop-loss system:
1. Initial Protection: Fixed stop-loss based on ATR at entry
2. Dynamic Trailing: Adjusts stop-loss as price moves favorably
The trailing mechanism only activates after the trade moves a specified distance in profit, ensuring you never give back your initial risk capital while allowing winning trades room to grow.
BEST PRACTICES
✓ Use on liquid instruments with clear trends
✓ Backtest on your specific market and timeframe
✓ Adjust parameters based on asset volatility
✓ Consider market conditions when selecting trade direction
✓ Use proper position sizing (strategy uses 10% equity default)
✓ Monitor correlation between volume and price action
STRATEGY SETTINGS
- Overlay: True (plots on price chart)
- Pyramiding: Disabled (one position at a time)
- Position Size: 10% of equity (customizable)
- Execution: Market orders on signal confirmation
🔒 DISCLAIMER
This is a technical analysis-based trading strategy for educational and informational purposes. Past performance does not guarantee future results. Trading involves substantial risk of loss. Always:
- Conduct thorough backtesting before live trading
- Use appropriate position sizing for your risk tolerance
- Understand the strategy behavior in different market conditions
- Never risk more than you can afford to lose
- Consider seeking advice from qualified financial professionals
📧 SUPPORT & UPDATES
This is a closed-source strategy. For questions, issues, or feature requests, please contact the author through TradingView messages.
Version: 1.0 | © ravi_matrix | All Rights Reserved
Paavvrri Bulls vs Bears + MACD Ultimate [FINAL]To publish the Paavvrri Bulls vs Bears + MACD Ultimate, you need a description that highlights the combination of sentiment analysis and momentum tracking.
Here is a professional, concise description for your TradingView publication:
Paavvrri Bulls vs Bears + MACD Ultimate
The Paavvrri Bulls vs Bears + MACD Ultimate is a high-performance oscillator suite designed to reveal the hidden battle between buyers and sellers. By combining a multi-layered AI sentiment engine with a precision-tuned "Ultimate MACD," this tool provides a dual-perspective view of market momentum and conviction.
### 1. Bulls vs Bears AI Engine
Unlike standard oscillators, the BvB AI calculates a Cumulative Sentiment Score by stacking seven distinct layers of market data:
RSI & Momentum: Measures speed and over-extension.
Trend & PA Layers: Analyzes EMA spreads and Price Action candle efficiency.
Volume & Volatility: Confirms move conviction and ATR-based expansion.
S/R Positioning: Tracks where price sits relative to its recent range.
The Result: A stacked histogram that visually shows which side is winning the tug-of-war.
### 2. Ultimate MACD Component
Switch to the "Ultimate MACD" mode for a professional-grade momentum workspace:
MTF Support: View MACD signals from higher timeframes on your current chart.
4-Color Histogram: Advanced color coding to distinguish between accelerating and decelerating momentum.
Smart Cross Dots: High-visibility signals for Bullish/Bearish crossovers.
Dynamic Lines: Color-shifting MACD and Signal lines for instant trend bias identification.
### Key Features
Switchable Interface: Toggle between "BvB AI" and "Ultimate MACD" using the Master Input to keep your workspace clean.
AI Info Table: A real-time dashboard displaying raw Bull/Bear scores and an overall market Sentiment label.
Zero-Repaint Logic: Optimized for Pine Script v6 with high-fidelity calculations.
### How to Trade
Sentiment Confluence: Look for the Total Bulls (Green) or Total Bears (Red) columns to exceed the Zero Line while the MACD confirms the direction.
Layer Breakouts: When all seven layers of the BvB AI expand simultaneously, it indicates a high-probability "Power Move."
MACD Precision: Use the Cross Dots at the Zero Line for high-conviction entries during trending markets.
### Release Notes (Final Version)
Modern Timeframe Logic: Replaced obsolete inputs with the Pine v6 timeframe standard.
Performance Tuning: Faster calculation for multi-layer stacking.
Enhanced Visuals: Improved column transparency for better readability.
Paavvrri Ultimate SystemPaavvrri® Ultimate Trading System v2
The Paavvrri® Ultimate Trading System is an all-in-one technical analysis suite for Pine Script v6. It combines institutional level-tracking (CPR), volatility-based execution (ATR), and a real-time momentum dashboard into a single, non-repainting workspace.
### Core Features
Volumatic Trend Engine: smoothed, volume-weighted candles that identify the "true" trend direction while filtering out market noise.
Automated ATR Strategy: Generates "LONG" and "SHORT" signals with automated Stop-Loss and 3 Take-Profit levels based on market volatility.
Institutional CPR & Levels: Includes Daily, Weekly, and Monthly Central Pivot Range (CPR), plus "Tomorrow’s CPR" for predictive planning.
MTF Dashboard: A real-time table tracking VWAP, MACD, and Supertrend across multiple timeframes (1m to 1D) for trend confluence.
Opening Range Breakout (ORB): Automates the high-probability trade levels from the market open.
Momentum Filter: Integrated ADX scanner to distinguish between trending and sideways/choppy markets.
### How to Use
Confluence: Enter trades when the ATR Signal aligns with the MTF Dashboard (e.g., a Long signal when higher TFs are "Bull").
Level Trading: Use the CPR and Previous Day High/Low (PDH/PDL) as primary targets or reversal zones.
Visual Modes: Use the "Visualization Group" setting to toggle between focused views like "Core," "Pivots," or "All" to keep your charts clean.
### Release Notes (v2.0)
Pine Script v6 Migration: Optimized for the latest engine performance.
Zero Repaint: All signals are confirmed on bar close.
Advanced UI: Added a dynamic Info Table for real-time P&L tracking and ADX strength monitoring.
Mean Absolute Error | Lyro RSOverview
This indicator is designed to evaluate price dynamics through the framework of Mean Absolute Error (MAE) while combining multiple modular techniques for adaptive market analysis. Its construction provides traders with a way to assess deviation from moving averages and identify potential shifts in valuation, momentum, and structural divergences. By integrating several unique analytical modes into a single tool, it offers flexible perspectives on price behavior without being tied to one rigid methodology.
Originality
The core concept behind this tool is the calculation of MAE relative to a chosen moving average benchmark. From this base, the script develops four distinct operational modes: Bollinger Bands, For Loop, VTrend, and StochTrend. Each module provides a different angle of interpretation. The Bollinger Bands mode replaces standard deviation with MAE-based envelopes. The For Loop mode interprets directional bias across variable lookback windows. The VTrend mode applies z-scored MAE to classify valuation and trend states. The StochTrend mode adapts stochastic oscillation techniques to MAE-based data, including divergence detection. These modules are combined with visual cues, background conditions, tables, and alert functionality to deliver structured yet versatile signals.
In terms of originality, this script departs from conventional volatility and momentum indicators by using MAE as the central metric instead of variance-based or raw-price oscillators. The modular design allows users to switch between methodologies without loading separate tools, unifying several approaches into a coherent framework. The integration of valuation thresholds, custom divergence recognition, and configurable visualization tables further extends its usefulness in practical trading situations while maintaining flexibility for different analytical preferences.
Key Features
The indicator includes a wide array of inputs for customization. Users can select the source price for calculations and choose a preferred signal mode from Bollinger Bands, For Loop, VTrend, or StochTrend. Each module has dedicated settings:
In Bollinger Bands, traders can select the moving average type, define lookback length, and adjust the multiplier that scales the MAE-based bands.
In For Loop, users configure the moving average type, loop length, and the range of indices for iteration, as well as long and short thresholds that define directional bias.
In VTrend, the sensitivity parameter controls the lookback for z-score calculations, while overvalued and undervalued thresholds establish valuation boundaries.
In StochTrend, users can choose the moving average type, stochastic length, and smoothing periods for %K and %D, with signals generated through crossovers and valuation zones.
In addition, the script provides options for table overlays, table positioning, and table sizing, allowing traders to monitor module states in a consolidated display. Color palettes can be customized through predefined schemes or user-defined settings, ensuring clarity in chart visualization.
Summary
In summary, this indicator combines MAE-based analytics with four modular approaches—volatility envelopes, iterative loop strength, z-scored valuation trends, and stochastic adaptations. Its design emphasizes flexibility, visualization, and clear state reporting through color, overlays, and tables. This makes it a practical framework for traders seeking to evaluate markets from multiple perspectives using a single unified tool.
⚠️Disclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
ASC Trio Trader SignalASC Trio Trader Strategy — Description for TradingView
Short Description:
ASC Trio Trader is a powerful trading strategy combining Bollinger Band Breakouts with SuperOscillator trend confirmation to generate precise buy and sell signals. Ideal for traders seeking trend-following signals with reduced noise and clear entry/exit points.
Strategy Logic:
Bollinger Band Breakouts
Uses a configurable SMA (default 55) and standard deviation (default 1.0) to calculate upper, middle (basis), and lower bands.
Buy signal is considered when price closes above the upper band.
Sell signal is considered when price closes below the lower band.
SuperOscillator Confirmation
Trend momentum is confirmed using a SuperOscillator (green/red candles).
Buy signal triggers only when BB breakout + above middle line + green SuperOscillator.
Sell signal triggers only when BB breakout + below middle line + red SuperOscillator.
Signal Lock / Unlock Mechanism
Prevents repeated signals during strong trends.
Once a buy is triggered, the next buy will not occur until price closes below the middle line.
Once a sell is triggered, the next sell will not occur until price closes above the middle line.
Auto Exit
Positions are automatically closed when an opposite signal occurs.
Features:
One-click strategy: Ready for backtesting in TradingView.
Dynamic Bollinger Bands: Middle line changes color based on price relative to bands.
Visual signals: Clear buy (green) and sell (red) arrows plotted on chart.
Customizable inputs: SMA length, standard deviation multiplier, source, and backtest range.
Color-coded bars: Highlights market direction for easy trend identification.
Backtest window: Allows you to test the strategy over a custom date range.
Default Inputs:
Input Default
Source Close
SMA Length 55
Std Dev Multiplier 1.0
Color Bars True
Backtest Range 01-01-2018 to present
How to Use:
Add the strategy to any chart.
Use default inputs or customize SMA and Std Dev based on asset volatility.
Enter trades when arrows appear (green for buy, red for sell).
Monitor automatically managed exits or use additional risk management.
Notes:
Designed for trend-following markets; works best in volatile stocks, crypto, and commodities.
Not based on volume or fundamentals; consider using additional indicators for confirmation.
Always apply proper risk management.
MAD Supertrend [Alpha Extract]A sophisticated SuperTrend implementation that replaces traditional ATR calculations with Mean Absolute Deviation methodology for adaptive volatility measurement and band construction. Utilizing SMA baseline with MAD-based deviation bands and optional adaptive factor adjustments, this indicator delivers institutional-grade trend detection with strength-based filtering and dynamic visual feedback. The system's MAD approach provides superior noise reduction compared to ATR while maintaining responsiveness to genuine volatility changes, combined with momentum-based strength calculations for high-conviction signal generation.
🔶 Advanced MAD-Based Band Construction
Implements Mean Absolute Deviation calculation as volatility proxy, measuring absolute price deviations from mean and smoothing for stable band generation without ATR dependency. The system calculates SMA baseline, computes MAD from configurable lookback period, applies factor multipliers to create upper and lower bands, then implements classic SuperTrend ratcheting logic where bands only adjust when price violates previous levels or calculations warrant updates.
// Core MAD SuperTrend Framework
SMA_Value = ta.sma(src, SMA_Length)
Mean = ta.sma(src, MAD_Length)
Abs_Deviation = abs(src - Mean)
MAD_Value = ta.sma(Abs_Deviation, MAD_Length)
// Band Construction with Ratcheting
Upper_Band = SMA_Value + MAD_Factor * MAD_Value
Lower_Band = SMA_Value - MAD_Factor * MAD_Value
// Ratcheting logic prevents premature band adjustments
🔶 Adaptive Factor Adjustment Engine
Features optional adaptive multiplier system that modulates MAD factor based on normalized MAD magnitude relative to recent extremes, creating bands that automatically expand during high-volatility regimes and contract during consolidation. The system applies min-max normalization to MAD values over configurable lookback, multiplies by adaptation parameter, and adds to base factor for dynamic volatility sensitivity without manual recalibration.
🔶 Momentum-Based Strength Filter
Implements sophisticated strength calculation measuring price momentum relative to baseline divided by volatility-adjusted MAD bands, producing normalized 0-1 strength scores with exponential smoothing. The system calculates distance from SMA baseline, normalizes by MAD-derived band width, and applies configurable minimum threshold requiring sufficient momentum before trend signals activate, filtering weak or choppy market conditions.
🔶 SuperTrend Direction Logic
Utilizes classic SuperTrend methodology adapted for MAD bands where trend direction flips on opposite band violations with state persistence until confirmation. The system tracks whether price closes above upper band (bearish flip to bullish) or below lower band (bullish flip to bearish), maintains directional state until opposing violation occurs, and generates binary +1/-1 trend signals suitable for systematic position management.
🔶 Intelligent Candle Sticking System
Provides advanced line positioning option that anchors SuperTrend line to candle wicks or bodies rather than pure calculation values for enhanced visual clarity. The system supports two modes: Wick (positions at high/low extremes based on trend direction) and Body (constrains line between calculation and candle extremes), creating cleaner chart presentation while maintaining mathematical integrity of underlying signals.
🔶 Dynamic Gradient Visualization Framework
Implements color intensity modulation based on smoothed strength calculations, transitioning from muted to vivid hues as momentum conviction increases. The system applies gradient interpolation using strength ratio, creating visual feedback where strong trending moves display intense colors while weak or consolidating conditions show faded tones across trend line, channel bands, and candle coloring for immediate regime assessment.
🔶 MAD Channel Architecture
Features volatility-adjusted channel bands centered on baseline or candle-stuck line with configurable multiplier for support/resistance visualization. The system calculates upper and lower bounds using MAD values scaled by adaptive factors and channel multipliers, applies dynamic transparency based on trend strength, and creates filled regions that intensify during strong trends and fade during weak conditions.
🔶 Multi-Layer Glow Effect System
Provides sophisticated line rendering with triple-layer plot system creating glow effect through progressively wider and more transparent outer layers. The system plots core trend line at specified width with full color intensity, adds inner glow layer at +2 width with moderate transparency, and outer glow at +4 width with higher transparency, creating visual depth and emphasis without cluttering chart space.
🔶 Strength-Based State Management
Implements intelligent trend state logic requiring both directional signal and minimum strength threshold breach before confirming trend transitions. The system calculates raw SuperTrend direction, evaluates smoothed strength against configurable minimum, generates filtered trend state that can be bullish (+1), bearish (-1), or neutral (0), and maintains state persistence using hold logic that prevents oscillation during ambiguous conditions.
🔶 Comprehensive Alert Integration
Generates trend flip alerts when filtered state transitions from bearish to bullish or bullish to bearish with full confirmation requirements satisfied. The system detects state changes through comparison with previous bar, triggers single alert per transition rather than continuous notifications, and provides customizable message templates for automated trading system integration or manual notification preferences.
🔶 Performance Optimization Architecture
Utilizes efficient calculation methods with null value handling, nz() functions preventing errors during initialization bars, and optimized gradient calculations. The system includes intelligent state persistence minimizing recalculation overhead, streamlined MAD computation avoiding redundant mean calculations, and smooth visual updates maintaining consistent performance across extended historical periods.
This indicator delivers sophisticated SuperTrend analysis through Mean Absolute Deviation methodology providing superior statistical properties compared to traditional ATR-based approaches. MAD calculations offer more robust volatility measurement resistant to extreme outliers while maintaining sensitivity to genuine market regime changes. The system's adaptive factor adjustment, momentum-based strength filtering, and dynamic visual feedback make it essential for traders seeking reliable trend-following signals with reduced false breakouts during choppy conditions. The combination of MAD bands, candle-sticking options, gradient strength visualization, and comprehensive filtering creates institutional-grade trend detection suitable for systematic approaches across cryptocurrency, forex, and equity markets with clear entry/exit signals and comprehensive alert capabilities.
SuperTrend Momentum ShiftST Momentum Shift – Confirmed Flip with Structured Entry
This indicator identifies high-quality SuperTrend momentum flips and validates them using EMA trend alignment, RSI strength, volume confirmation, and recent price structure.
A flip is printed only when all rules pass, ensuring no visual noise.
Entries are defined after the flip candle, using a configurable buffer (percent or ATR) to avoid false breakouts and stop-loss hunting.
Stop-loss is placed beyond the flip candle extreme, with a fixed 1:1 risk-reward target.
A color-coded table clearly shows:
Pass/Fail status of each rule for the current printed flip
Trade direction and lifecycle (Pending → Open → Closed)
Entry, SL, Target, buffer, and risk
Designed for non-repainting, rule-based intraday trading on F&O stocks.
Trend-Dip Sniper 🛡️ Trend-Dip Sniper (15m BTC/USD)
The Trend-Dip Sniper is a high-precision intraday strategy designed to capture high-probability entries in trending markets. By combining trend-following logic with mean-reversion triggers, it filters out market noise and focuses on quality over frequency. The strategy features a built-in dashboard for real-time monitoring of trend strength, momentum, and volatility. This tool is optimized for the 15-minute timeframe, providing a robust balance between signal reliability and trade frequency, specifically for highly liquid assets like Bitcoin and Ethereum.
🔶 USAGE
For beginners, this strategy offers a disciplined way to trade with the trend. It prevents "chasing the pump" by waiting for a healthy pullback (dip) before entering, helping you avoid unfavorable entry prices. For advanced traders, it is a powerful tool to exploit short-term inefficiencies within a larger trend. The integration of ADX and ATR ensures that you only trade when there is sufficient market participation and volatility.
🔹 Trend & Momentum
The tool uses a dual-EMA filter to define the market regime. A long signal is only considered when the fast EMA is above the slow EMA. To avoid "fake-outs" in sideways markets, an ADX filter is applied, requiring a minimum trend strength before any signal is generated.
🔹 Mean-Reversion Trigger
The actual entry is triggered by the RSI. Instead of buying at the top, the strategy waits for the RSI to show an "oversold" condition within an uptrend. This "rubber band" effect provides a high-probability entry point as the price reverts to its mean and continues the trend.
🔹 Adaptive Risk Management
Unlike static stop-losses, this strategy utilizes the Average True Range (ATR). The stop-loss and take-profit levels expand during high volatility and tighten during calm periods. This ensures your "airbag" is always the right size for the current market environment.
🔹 Dashboard Info-Box
The integrated dashboard on the chart provides a snapshot of the current market state:
ADX (Trend): Shows if the trend is strong enough to trade.
RSI (Momentum): Displays the current momentum state.
ATR (Volatility): Monitors the current market "breath".
Trend Status: A clear visual indicator (BULLISH/BEARISH/NEUTRAL).
🔶 SETTINGS
Trend & Filter: EMA Fast/Slow & ADX thresholds.
RSI Mean-Reversion: Period and Overbought/Oversold levels.
Risk Management: Risk % per trade & ATR-based SL/TP multipliers.
BINANCE:BTCUSDT
If you like my work, feel free to support me. Link in bio! 🚀
Smart Money Volume Index [AlgoAlpha]🟠 OVERVIEW
This script measures buying and selling interest by comparing how price behaves on rising volume versus falling volume. It separates what is often called “smart money” activity from more passive volume and turns that relationship into a normalized index. The result is an oscillator that shows whether buyers or sellers are in control, how strong that control is, and when interest reaches extreme levels that tend to matter for reversals or continuations.
🟠 CONCEPTS
The calculation starts by splitting volume flow into two streams. Positive Volume Index (PVI) reacts when volume expands, while Negative Volume Index (NVI) reacts when volume contracts. Each stream is detrended with a long EMA and passed through an RSI calculation to express relative pressure. These two RSIs are then compared as ratios to estimate buy-side and sell-side interest. The values are summed over a rolling window and normalized against historical peaks so the output stays bounded and comparable across markets. In simple terms: relative behavior on high-volume vs low-volume bars defines interest , and normalization makes that interest readable over time.
🟠 FEATURES
Two display modes: Compare (separate buy and sell interest) and Net (single combined oscillator)
High-interest threshold zones with visual highlights
Alert conditions for threshold crosses and zero-line shifts
🟠 USAGE
Setup : Add the script to your chart. Choose Net mode for a clean momentum-style read, or Compare mode to see buy and sell interest separately. Start with the default periods, then adjust the Index Period to control how much history is included.
Read the chart : Values above zero mean buy-side interest dominates; below zero means sell-side interest dominates. In Compare mode, the green line tracks buying interest and the red line tracks selling interest. When either side pushes beyond the high-interest threshold, participation is elevated and moves tend to be more meaningful.
Settings that matter : Increasing the Index Period smooths the index and focuses on longer participation trends. Changing the Volume Flow Period alters how sensitive the RSI-based pressure is. The High Interest Threshold controls how selective extreme signals are and directly affects alerts and zone highlights.
T.S.T PRO [Jak-Dong collection]Overview
The is a high-performance trend-following strategy designed to capture major market moves while filtering out "noise" and false breakouts. It utilizes a sophisticated Triple Supertrend engine combined with multiple analytical layers—Volume, Momentum (ADX), Volatility (BBW), and Multi-Timeframe (HTF) analysis—to ensure high-probability entries.
Core Entry Logic
1. Triple Supertrend Alignment: The strategy confirms a trend only when three Supertrends with different sensitivities (Fast, Medium, Slow) align in the same direction.
2. Median Filter: To prevent entering at the very top or bottom of a local spike, the price must be positioned relative to the Median Supertrend line.
3. Strategic Filters (Optional):
- Volume Filter: Ensures the move is backed by sufficient market participation.
- ADX Filter: Confirms trend strength to avoid weak or exhausting trends.
- Volatility (BBW) Filter: Uses Bollinger Band Width to ensure the market is in an active expansion phase.
- HTF Trend Filter: Syncs the current timeframe trades with a higher time frame (e.g., Daily) to ensure you are trading with the "Big Picture" trend.
Advanced Money Management
This strategy is built with professional risk management at its core:
- 4 Sizing Modes: Choose between Risk % of Equity, Fixed Capital Amount, % of Equity, or Fixed Quantity.
- Dual Stop-Loss Modes: * Supertrend Mode: Dynamically tracks the Median Supertrend line.
- Fixed Mode: Locks the SL at entry based on ATR multiplier or fixed percentage.
- Execution Flexibility: Choose between "Real-Time Touch" (instant SL) or "On Close" (confirmed bar) for exit execution.
Profit Taking & Protection
- 5-Stage Take Profit: Scale out of positions systematically. Each TP level can be set via ATR Multiplier or Fixed Percentage.
- Automatic Break-Even: Once Take Profit 1 (TP1) is hit, the strategy automatically moves the Stop Loss to the entry price, securing a "risk-free" trade.
Visual Analytics
- Dynamic Visuals: Clearly displays your active Stop Loss, Entry Price, and all 5 Take Profit levels on the chart.
- Performance Table: Includes an integrated Monthly Performance Table to track your strategy's historical returns, drawdown, and consistency directly on the UI.
Recommended Settings
- Timeframes: 1H, 4H, and Daily (D) timeframes are recommended for the best trend-following results.
- Assets: Highly liquid assets such as Major Crypto Pairs (BTC, ETH) and Major Forex pairs.
- Optimization: While the default settings are robust, users are encouraged to adjust the Supertrend factors and ATR multipliers based on the specific volatility of their chosen asset.
Disclaimer
This script is for educational and backtesting purposes only. Past performance does not guarantee future results. Trading involves significant risk, and it is highly recommended to test the strategy thoroughly on a demo account before live deployment.
SMC Alpha Engine [PhenLabs]📊 SMC Alpha Engine
Version: PineScript™ v6
📌 Description
The SMC Alpha Engine is a comprehensive Smart Money Concepts indicator that automates institutional trading pattern recognition. Built for traders who understand that confluence is king, this indicator stacks multiple SMC elements together and scores them in real-time, allowing you to focus exclusively on high-probability setups.
Rather than manually tracking HTF bias, market structure, liquidity levels, order blocks, and fair value gaps separately, the SMC Alpha Engine consolidates everything into a unified scoring system. When enough factors align, you get a signal. When they don’t, you wait. This systematic approach removes emotion and subjectivity from SMC trading.
The indicator is designed around one core principle: only trade when the probabilities are stacked in your favor. By requiring multiple confluence factors before generating signals, it filters out the noise and keeps you focused on setups that institutional traders actually care about.
🚀 Points of Innovation
Automated confluence scoring system that evaluates 6 distinct SMC factors in real-time
HTF-to-LTF bias alignment ensuring trades flow with institutional direction
Intelligent liquidity sweep detection using wick-ratio analysis for confirmation
ATR-based FVG quality filtering that eliminates noise and shows only significant imbalances
Anti-spam signal logic preventing overtrading during volatile market conditions
Session-aware killzone integration timing entries with institutional activity windows
🔧 Core Components
HTF Bias Engine: Analyzes higher timeframe swing structure to establish directional bias using pivot high/low comparisons
Market Structure Module: Detects BOS (Break of Structure) and CHoCH (Change of Character) with real-time confirmation
Premium/Discount Calculator: Dynamically maps price zones relative to recent swing range equilibrium
Liquidity Tracker: Monitors swing points as liquidity targets and identifies sweep events with rejection confirmation
POI Detector: Identifies valid Order Blocks with displacement requirements and Fair Value Gaps with ATR filtering
Confluence Scorer: Aggregates all factors into bull/bear scores displayed on real-time dashboard
🔥 Key Features
Multi-timeframe analysis combining HTF directional bias with LTF precision entries
Customizable confluence threshold from 1 (low filter) to 5 (sniper mode)
Three killzone sessions: London (02:00-05:00), NY AM (08:30-11:00), NY PM (13:30-16:00)
Flexible mitigation options for OBs and FVGs: Wick, Close, 50%, or None
Visual structure labeling for BOS and CHoCH events on chart
Real-time info dashboard showing all current market conditions and scores
Built-in alert conditions for BOS, liquidity sweeps, and high-confluence signals
🎨 Visualization
Premium Zone: Red-tinted box above equilibrium indicating sell-side interest areas
Discount Zone: Green-tinted box below equilibrium indicating buy-side interest areas
Equilibrium Line: Dotted gray line marking the 50% level of current range
Order Blocks: Color-coded boxes (green for bullish, red for bearish) showing institutional candles
Fair Value Gaps: Teal boxes for bullish FVGs, maroon boxes for bearish FVGs
Killzone Backgrounds: Blue (London), Orange (NY AM), Purple (NY PM) session highlighting
Info Table: Top-right dashboard displaying HTF bias, LTF trend, zone, killzone status, and scores
📖 Usage Guidelines
HTF Settings
HTF Timeframe - Default: 60 - Controls higher timeframe for directional bias
HTF Swing Length - Default: 10, Range: 3+ - Determines pivot sensitivity for HTF trend
Market Structure Settings
LTF Swing Length - Default: 3, Range: 1-10 - Controls swing detection sensitivity
Show BOS/CHoCH - Default: Off - Toggles structure labels on chart
Show Strong/Weak Points - Default: Off - Displays swing point classifications
POI Settings
Show Valid Order Blocks - Default: Off - Displays OBs that caused displacement
Show Unmitigated FVGs - Default: On - Shows active fair value gaps
Filter FVG by ATR - Default: On - Only shows FVGs larger than 0.5x ATR
OB Mitigation Type - Options: Wick, Close, None - Determines when OBs are invalidated
FVG Mitigation Type - Options: Wick, Close, 50%, None - Determines when FVGs are filled
Confluence Settings
Minimum Score for Signal - Default: 4, Range: 1-5 - Required confluence level for entries
Show Entry Signals - Default: On - Toggles LONG/SHORT labels on chart
✅ Best Use Cases
Trend continuation trades during active killzone sessions with HTF alignment
Discount zone entries on bullish HTF bias with recent liquidity sweep below
Premium zone shorts on bearish HTF bias after liquidity grab above recent highs
Reversal identification following CHoCH with POI confluence in optimal zone
Filtering existing strategy signals by requiring minimum confluence score
⚠️ Limitations
HTF bias detection requires sufficient price history for accurate pivot identification
Liquidity sweep detection depends on wick-ratio settings and may miss some events
Order blocks require displacement confirmation which may exclude some valid zones
Confluence scoring is probabilistic and does not guarantee profitable outcomes
Killzone times are based on EST/EDT and require timezone adjustment for other regions
Signal spam prevention may delay valid signals by up to 10 bars after previous signal
💡 What Makes This Unique
Unified SMC Framework: Combines all major SMC concepts into one cohesive indicator rather than requiring multiple tools
Objective Scoring System: Removes subjectivity by quantifying confluence into measurable scores
Institutional Timing Integration: Built-in killzone awareness ensures signals align with high-volume sessions
Quality Filtering: ATR-based FVG filtering and displacement-required OBs eliminate low-quality setups
Anti-Overtrading Logic: Smart signal spacing prevents emotional trading during choppy conditions
🔬 How It Works
Step 1: HTF Bias Determination
Analyzes higher timeframe pivot highs and lows
Compares consecutive pivots to identify HH/HL (bullish) or LH/LL (bearish) sequences
Establishes directional filter that all signals must respect
Step 2: LTF Structure Mapping
Detects swing points on execution timeframe
Identifies BOS when price closes beyond confirmed swing level
Recognizes CHoCH when structure break occurs against current trend
Step 3: Confluence Calculation
Awards +1 for HTF bias alignment
Awards +1 for active killzone timing
Awards +1 for optimal zone positioning (discount for longs, premium for shorts)
Awards +1 for price at unmitigated POI
Awards +1 for recent liquidity sweep in trade direction
Awards +1 for recent supportive structure break
Step 4: Signal Generation
Compares total score against user-defined minimum threshold
Requires candle confirmation (bullish close for longs, bearish close for shorts)
Applies 10-bar spacing filter to prevent signal clustering
💡 Note:
This indicator is designed for traders already familiar with Smart Money Concepts. While it automates detection and scoring, understanding why each factor matters will significantly improve your ability to filter signals and manage trades effectively. Use the minimum confluence setting to match your risk tolerance, higher values mean fewer but higher-quality signals.
Golden Cross with Stop and TargetHere is a simple TradingView Pine Script that backtests the classic SMA 50 / SMA 200 crossover strategy with a percentage take-profit and stop-loss.
AI Smart Signal (MASTER)# User Guide: AI Smart Signal (MASTER)
**The Ultimate All-In-One Trading System**
This comprehensive indicator combines the power of trend following, momentum analysis, and market structure into a single, intelligent tool. It is designed to act as your "Co-Pilot" in the market, providing clear signals and filtering out noise.
---
## 1. Visual Overview
### The Quantum Dots (Wave)
The core of the system is the **Smoothed Heiken Ashi** ribbon, displayed as dynamic dots by default.
- **Green Dots**: Bullish Trend (Look for BUY).
- **Red Dots**: Bearish Trend (Look for SELL).
- **Dot Size**:
- *Small*: Weak market / Ranging.
- *Medium*: Strong Trend.
- *Large*: **HIGH MOMENTUM** (Powerful Move).
### The Instruction Overlay
A dashboard on the chart provides real-time guidance:
- **TREND**: Shows if the market is currently Up or Down.
- **MOMENTUM**: Analyzes the strength of the move (Weak/Strong/Power).
- **ACTION**: Suggests to "HOLD", "BiUY", "SELL", or "WAIT".
---
## 2. Key Features
### A. Signal Strategy
You can choose your preferred entry signal logic in the settings:
1. **AI Smart Signal (Default)**: Uses a SuperTrend-based adaptive algorithm.
2. **Heiken Ashi Reversal**: Signals when the Quantum Wave changes color.
3. **Market Structure**: Signals on Higher Highs (HH) and Lower Lows (LL).
4. **EMA Crossover**: Signals when Fast EMA crosses Slow EMA.
### B. Smart Filters
- **Sideways Filter**: Automatically hides signals when the ADX (trend strength) is low (< 15), preventing losses during choppy markets.
- **Auto Timeframe**: The indicator automatically adjusts its sensitivity based on the chart timeframe (e.g., faster settings for 1-minute, stable settings for Daily).
### C. Additional Tools (Toggle ON/OFF)
- **Demand & Supply Zones**: Auto-draws support and resistance rectangles.
- **Market Structure**: Labels Highs and Lows (HH, HL, LH, LL).
- **Volume Profile**: Shows value areas on the side of the chart.
- **Turtle Channels**: Donchian Channel breakout levels.
- **Multi-Timeframe**: See trend status of higher timeframes on your current chart.
---
## 3. How to Trade
### Long Setup (BUY)
1. **Trend Check**: The Quantum Dots or Ribbon must be **GREEN**.
2. **Signal**: Wait for a **BUY** label or "Cycle Hijau" confirmation.
3. **Validation**: Ensure the "ACTION" dashboard says "BUY" or "HOLD".
4. **Stop Loss**: Place below the recent Swing Low or Demand Zone.
### Short Setup (SELL)
1. **Trend Check**: The Quantum Dots or Ribbon must be **RED**.
2. **Signal**: Wait for a **SELL** label or "Cycle Merah" confirmation.
3. **Validation**: Ensure the "ACTION" dashboard says "SELL" or "HOLD".
4. **Stop Loss**: Place above the recent Swing High or Supply Zone.
---
## 4. Settings Guide
- **Visual Settings**: Change "Visual Style" from Dots to Candles, Line, or Ribbon.
- **Signal Strategy**: Switch entry logic here.
- **Dashboard**: Toggle the AI Dashboard ON/OFF or change its size.
Volume-Adjusted CCI Trend [Alpha Extract]A sophisticated trend identification system that combines dual EMA direction analysis with volume-weighted normalization and CCI momentum filtering for comprehensive trend validation. Utilizing Volume RSI integration and standard deviation-based bands that expand and contract with volume characteristics, this indicator delivers institutional-grade trend detection with multi-layered confirmation requirements. The system's volume adjustment mechanism modulates signal sensitivity based on participation strength while CCI thresholds prevent false signals during weak momentum conditions, creating a robust trend-following framework with reduced whipsaw susceptibility.
🔶 Advanced Dual EMA Direction Engine
Implements fast and slow exponential moving average comparison to establish primary trend direction bias with configurable period parameters for timeframe optimization. The system calculates trend direction as binary +1 (bullish when fast EMA exceeds slow EMA) or -1 (bearish when slow exceeds fast), providing foundational directional input that requires additional confirmation before generating actionable trend states.
🔶 Volume-Adjusted Normalization Framework
Features sophisticated normalization calculation that measures price deviation from basis EMA, scales by standard deviation, then applies volume-weighted adjustment factor for participation-sensitive signal generation. The system calculates Volume RSI to quantify relative volume strength, converts to ratio format, and multiplies normalized deviation by volume factor scaled by impact parameter, creating signals that strengthen during high-volume confirmations and weaken during low-volume moves.
// Volume-Adjusted Normalization
Vol_Ratio = Volume_RSI / 50
Vol_Factor = 1 + (Vol_Ratio - 1) * Vol_Impact
Dev = src - Basis_EMA
Raw_Normalized = Dev / (StdDev * Multiplier)
Vol_Adjusted_Norm = Raw_Normalized * Vol_Factor
🔶 CCI Momentum Filter Integration
Implements Commodity Channel Index threshold system with configurable upper and lower bounds to validate trend strength and filter sideways market conditions. The system calculates standard CCI with adjustable length, compares against asymmetric thresholds (default +100 bullish, -50 bearish), and requires CCI confirmation in addition to EMA direction and normalized deviation before transitioning trend states, ensuring only high-conviction signals generate entries.
🔶 Multi-Layer Trend State Logic
Provides intelligent trend state machine requiring simultaneous confirmation from EMA direction, volume-adjusted normalization threshold breach, and optional CCI momentum validation. The system maintains persistent trend state that only transitions when all three conditions align, preventing premature reversals during temporary retracements or low-volume fluctuations while capturing genuine trend changes with institutional-grade confirmation requirements.
🔶 Dynamic Volume Band Architecture
Creates volatility-adjusted bands around basis EMA using standard deviation multiplied by volume factor, producing channels that widen during high-volume periods and contract during low-volume consolidations. The system applies identical volume adjustment to band calculations as normalization metric, ensuring visual envelope consistency with underlying signal logic and providing intuitive reference boundaries for trend-following price action.
🔶 Gradient Strength Visualization System
Implements color intensity modulation based on normalized signal strength relative to threshold requirements, creating visual feedback that communicates trend conviction. The system calculates strength ratio by dividing absolute normalized value by threshold, caps at 1.0, and applies gradient interpolation from muted to vivid colors, instantly conveying whether current trend exhibits marginal or strong characteristics through line and candle coloring.
🔶 Volume RSI Calculation Engine
Utilizes RSI methodology applied to volume series rather than price to quantify relative participation strength with normalization to 0.5-1.5 range for factor multiplication. The system processes volume through standard RSI calculation, divides by 50 to center around 1.0, and produces ratio values where readings above 1.0 indicate above-average volume and below 1.0 suggest below-average participation for signal adjustment purposes.
🔶 Asymmetric Threshold Configuration
Features separate positive and negative normalization thresholds with independent CCI upper and lower bounds enabling optimization for bullish versus bearish signal generation characteristics. The system defaults to symmetric normalized thresholds (±0.2) but asymmetric CCI levels (+100/-50), recognizing that bullish momentum often requires stronger confirmation than bearish reversals in typical market structures.
🔶 Comprehensive Visual Integration
Provides multi-dimensional trend visualization through color-coded basis line, volume-adjusted bands with gradient fills, trend-synchronized candle coloring, and transition signal labels. The system enables selective display toggling for each visual component while maintaining consistent color scheme and strength-based intensity across all elements for cohesive chart presentation without overwhelming information density.
🔶 Alert and Signal Framework
Generates trend change alerts when state transitions occur with all confirmation requirements satisfied, providing notifications for bullish (transition to +1) and bearish (transition to -1) signals. The system implements state change detection through comparison with previous bar trend state, ensuring single alert per transition rather than continuous notifications during sustained trends.
🔶 Performance Optimization Architecture
Employs efficient calculation methods with null value handling for Volume RSI initialization and nz() functions preventing calculation errors during early bars. The system includes intelligent state persistence maintaining previous trend during ambiguous conditions and optimized gradient calculations balancing visual quality with computational efficiency across extended historical periods.
🔶 Why Choose Volume-Adjusted CCI Trend ?
This indicator delivers sophisticated trend identification through multi-layered confirmation combining directional EMA analysis, volume-weighted normalization, and momentum validation via CCI filtering. Unlike traditional trend indicators relying solely on price-based calculations, the volume adjustment mechanism ensures signals strengthen during high-participation moves and weaken during low-volume drifts, reducing false breakouts and choppy market whipsaws. The system's requirement for simultaneous EMA direction, normalized threshold breach, and CCI momentum confirmation creates institutional-grade signal quality suitable for systematic trend-following approaches across cryptocurrency, forex, and equity markets. The volume-adjusted bands provide dynamic support/resistance references while the gradient strength visualization enables instant assessment of trend conviction for position sizing and risk management decisions.
