Bollinger Bands Mean Reversion using RSI [Krishna Peri]How it Works
Long entries trigger when:
- RSI reaches oversold levels, and
- At least one bullish candle closes inside the lower Bollinger Band
Short entries trigger when:
- RSI reaches overbought levels, and
- At least one bearish candle closes inside the upper Bollinger Band
This approach aims to capture exhaustion moves where price pushes into extreme deviation from its mean and then snaps back toward the middle band.
Important Disclaimer
This is a mean-reversion strategy, which means it performs best in sideways, ranging, or slowly oscillating market conditions. When markets shift into strong trends, Bollinger Bands expand and volatility increases, which may cause some signals to become inaccurate or fail altogether.
For best results, combine this script with:
- Price action
- Market structure
- Higher-timeframe trend context
- Previous day/week/month highs & lows
- Untested liquidity levels or imbalance zones
- Session timing (Asia, London, NY)
Using these confluences helps filter out low-probability trades and significantly improves consistency and precision.
震盪指標
EBC 310 Pullback EngineEBC 310 Pullback Engine
A proprietary momentum oscillator designed specifically for identifying high-probability pullback entries in trending markets.
📊 What It Does:
The EBC 310 Pullback Engine calculates the difference between 3-period and 10-period simple moving averages, then smooths this differential with a 16-period moving average to identify momentum shifts and trend exhaustion points.
🎯 How To Use:
For LONG Entries (Pullback in Uptrend):
Wait for fast line (histogram) to dip below zero line
Enter when fast line turns GREEN (momentum returning)
Best when slow line is above zero (confirming uptrend)
For SHORT Entries (Pullback in Downtrend):
Wait for fast line to spike above zero line
Enter when fast line turns RED (momentum failing)
Best when slow line is below zero (confirming downtrend)
🔧 Features:
✅ Color-Coded Momentum:
Green bars = Rising momentum (bullish)
Red bars = Falling momentum (bearish)
Blue bars = No change (consolidation)
✅ Trend Confirmation:
Blue slow line = Rising trend strength
Purple slow line = Weakening trend
Orange slow line = Trend pause
✅ Zero Line Reference:
Gray line marks equilibrium
Above = bullish bias
Below = bearish bias
⚙️ Settings:
3-10 Diff Moving Average Window: Default 16
Lower values (10-12) = More sensitive, faster signals
Higher values (20-25) = Smoother, fewer false signals
💡 Trading Strategy:
Identify overall trend direction on higher timeframe
Wait for pullback (fast line crosses zero against trend)
Enter when momentum returns (color change with trend)
Exit when fast line crosses zero in opposite direction
📈 Best Timeframes:
Scalping: 1-5 min charts
Day Trading: 15-30 min charts
Swing Trading: 1H-4H charts
⚠️ Risk Disclaimer:
This indicator is a momentum tool and should be used in conjunction with proper risk management, support/resistance levels, and additional confirmation signals. No indicator guarantees profitable trades.
Sniper PerfectOverview
Sniper Perfect is an advanced trend-following system designed to filter out "fakeouts" and institutional traps using a multi-layered verification protocol. It combines Volume Flow (VFI), Volatility (CHOP), and Momentum (RSI) to ensure entry only occurs in high-probability setups.
⚙️ Crucial Calibration (Read This!)
One size does NOT fit all. Every asset (Crypto, Forex, Tech Stocks) has a unique "heartbeat" and volatility profile.
Recommendation: Do not rely solely on default settings. It is highly recommended to tweak the inputs (specifically VFI Length, EMA Length, and Chop Threshold) for each specific asset you trade.
How to Optimize: Experiment with the settings until the visual signals align best with the historical price action of the specific chart you are analyzing. Calibrate your scope before you shoot.
Key Features
🛡️ The Triple Filter Protocol
Strict Choppiness Filter: Uses a strict CHOP threshold (40). If the market is moving sideways, the algorithm locks all new entries to prevent whipsaws.
RSI Extremes Protection: Prevents FOMO buying at tops (Overbought > 70) and panic selling at bottoms (Oversold < 30).
Conflict Zone Detection: Identifies divergence between Price action and Money Flow. If price rises but institutional money exits, the background turns Gray and trading is disabled.
🔒 Adaptive Risk Management
Heat-Breathing Stop Loss: The SL distance adjusts dynamically based on market Volume and Volatility ("Heat").
Ratchet Mechanism: A mechanical lock ensures the Stop Loss can ONLY move in the direction of profit. It never loosens, guaranteeing that paper profits are protected.
📊 Live Dashboard A real-time panel in the bottom-right corner displays:
VFI Flow: Positive/Negative money flow.
Market Status: Active vs. Locked (Choppy).
RSI Status: Neutral, Overbought, or Oversold.
Visual Guide
🟢 Lime Zone: Clean Bullish Trend.
🔴 Red Zone: Clean Bearish Trend.
🟠 Orange Zone: High Choppiness (Stay Out).
🟣 'X' Marker: Exact price where the Stop Loss was triggered.
Disclaimer: For educational and research purposes only. Always manage your risk.
Sniper Perfect: Institutional Flow & Adaptive Risk ProtocolOverview Sniper Perfect is an advanced trend-following system designed to filter out "fakeouts" and institutional traps using a multi-layered verification protocol. It combines Volume Flow (VFI), Volatility (CHOP), and Momentum (RSI) to ensure entry only occurs in high-probability setups.
Key Features
🛡️ The Triple Filter Protocol
Strict Choppiness Filter: Uses a strict CHOP threshold (40). If the market is moving sideways, the algorithm locks all new entries to prevent whipsaws.
RSI Extremes Protection: Prevents FOMO buying at tops (Overbought > 70) and panic selling at bottoms (Oversold < 30).
Conflict Zone Detection: Identifies divergence between Price action and Money Flow. If price rises but institutional money exits, the background turns Gray and trading is disabled.
🔒 Adaptive Risk Management
Heat-Breathing Stop Loss: The SL distance adjusts dynamically based on market Volume and Volatility ("Heat").
Ratchet Mechanism: A mechanical lock ensures the Stop Loss can ONLY move in the direction of profit. It never loosens, guaranteeing that paper profits are protected.
📊 Live Dashboard A real-time panel in the bottom-right corner displays:
VFI Flow: Positive/Negative money flow.
Market Status: Active vs. Locked (Choppy).
RSI Status: Neutral, Overbought, or Oversold.
Visual Guide
🟢 Lime Zone: Clean Bullish Trend.
🔴 Red Zone: Clean Bearish Trend.
🟠 Orange Zone: High Choppiness (Stay Out).
🟣 'X' Marker: Exact price where the Stop Loss was triggered.
Disclaimer: For educational and research purposes only. Always manage your risk.
Sniper PerfectOverview Sniper Perfect is an advanced trend-following system designed to filter out "fakeouts" and institutional traps using a multi-layered verification protocol. It combines Volume Flow (VFI), Volatility (CHOP), and Momentum (RSI) to ensure entry only occurs in high-probability setups.
Key Features
🛡️ The Triple Filter Protocol
Strict Choppiness Filter: Uses a strict CHOP threshold (40). If the market is moving sideways, the algorithm locks all new entries to prevent whipsaws.
RSI Extremes Protection: Prevents FOMO buying at tops (Overbought > 70) and panic selling at bottoms (Oversold < 30).
Conflict Zone Detection: Identifies divergence between Price action and Money Flow. If price rises but institutional money exits, the background turns Gray and trading is disabled.
🔒 Adaptive Risk Management
Heat-Breathing Stop Loss: The SL distance adjusts dynamically based on market Volume and Volatility ("Heat").
Ratchet Mechanism: A mechanical lock ensures the Stop Loss can ONLY move in the direction of profit. It never loosens, guaranteeing that paper profits are protected.
📊 Live Dashboard A real-time panel in the bottom-right corner displays:
VFI Flow: Positive/Negative money flow.
Market Status: Active vs. Locked (Choppy).
RSI Status: Neutral, Overbought, or Oversold.
Visual Guide
🟢 Lime Zone: Clean Bullish Trend.
🔴 Red Zone: Clean Bearish Trend.
🟠 Orange Zone: High Choppiness (Stay Out).
🟣 'X' Marker: Exact price where the Stop Loss was triggered.
Disclaimer: For educational and research purposes only. Always manage your risk.
The Truth Sniper: Breathing Edition**Overview**
This is a highly advanced trend-following strategy designed to filter out market noise ("Fakeouts") and manage risk using a dynamic "Breathing Ratchet" mechanism. It combines traditional trend analysis with institutional money flow logic to identify the true market direction.
**Key Features**
**1. The Conflict Zone (Gray Zone Filter)**
Most strategies fail during low-volume accumulation or distribution phases. This algorithm introduces a "Conflict Zone" logic:
* **True Rally (Green):** Price is above EMA50 AND Money Flow (VFI) is positive.
* **True Drop (Red):** Price is below EMA50 AND Money Flow (VFI) is negative.
* **Conflict (Gray Background):** When Price and Money Flow disagree (e.g., Price rising on negative volume), the background turns Gray. **Trading is disabled** in these zones to avoid bull/bear traps.
**2. Breathing Stop-Loss Mechanism (Volatility Adjusted)**
The Stop Loss isn't static. It "breathes" based on market heat (Volume/RSI):
* **High Heat (High Volatility):** The SL loosens its grip, moving towards the bottom of the Fibonacci zone to allow price fluctuation without premature exits.
* **Low Heat (Low Volatility):** The SL tightens aggressively towards the price to lock in profits during slow momentum.
**3. The Ratchet Lock (Slippage Prevention)**
To ensure maximum profit retention, the "Breathing" mechanism is governed by a **Ratchet Logic**:
* **For Longs:** The Stop Loss can ONLY move UP. If the "Breathing" calculation suggests lowering the stop (due to increased volatility), the Ratchet blocks it, keeping the SL at the highest historical level.
* **For Shorts:** The Stop Loss can ONLY move DOWN.
**4. Fibonacci Exit Zones**
Exits are calculated based on a 60-day dynamic High/Low lookback, creating "Zones" (0-23.6%, 23.6-38.2%, etc.) that the price must conquer. The SL trails these zones mechanically.
**Visual Guide**
* **Lime/Red Background:** Active Trade Zone (Confirmed Trend).
* **Gray Background:** Conflict Zone (Stay Out / Hold).
* **Purple 'X':** The exact price level where the Stop Loss was hit (Fixed marker).
* **Stepline:** The active Stop Loss level (Visible only during open trades).
**Disclaimer**
This script is for educational and research purposes only. Always manage your risk.
FVG & IFVG MTF Detector [Alphaomega18]TITLE:
FVG & IFVG Multi-Timeframe Detector
SHORT DESCRIPTION:
Automatic Fair Value Gap (FVG) and Inverse Fair Value Gap (IFVG) detector with multi-timeframe analysis and automatic gap fill closure.
FULL DESCRIPTION:
📊 OVERVIEW
This indicator automatically detects Fair Value Gaps (FVG) and Inverse Fair Value Gaps (IFVG) on your current timeframe and up to 12 additional timeframes simultaneously. Perfect for confluence analysis and identifying institutional zones.
🎯 KEY FEATURES
✅ Multi-Timeframe Detection:
• 12 available timeframes: 1min, 2min, 5min, 10min, 15min, 30min, 1H, 2H, 4H, Daily, Weekly, Monthly
• Each timeframe with customizable color
• Timeframe labels positioned on the right of boxes
✅ Automatic Closure:
• FVGs automatically close when price fills the gap
• Option to disable for traditional fixed extension
• Smart midline management
✅ Complete Customization:
• Customizable colors for each timeframe
• Configurable label size, position, and style
• Gap size display options (separate for current TF and MTF)
• Transparent or colored labels for MTF
• Customizable borders and midlines
✅ Filters & Controls:
• Filter by minimum gap size
• Maximum boxes per timeframe
• Configurable box extension (5-100 bars)
• Border styles: Solid, Dashed, Dotted
✅ Integrated Dashboard:
• Active FVG/IFVG counter
• Statistics per timeframe
• Customizable position
📈 USAGE
1. **Timeframe Activation**:
- Go to Settings > Multi-Timeframe
- Check the timeframes you want to analyze
- Customize colors for each timeframe
2. **Display Configuration**:
- Settings > Display: control labels and their content
- "Transparent MTF Labels": displays only timeframe text without colored background
- "Show Gap Size": separate options for current TF and MTF
3. **Automatic Closure**:
- Settings > Filters > "Close FVG when Filled": enable to automatically close filled gaps
- Disable for traditional fixed extension
4. **Filtering**:
- "Min Gap Size": filter out insignificant small gaps
- "Max Boxes": control the number of FVGs displayed per timeframe
🔍 INTERPRETATION
• **Bullish FVG (🟢)**: Bullish gap - potential support zone
• **Bearish IFVG (🔴)**: Bearish gap - potential resistance zone
• **MTF Confluences**: Multiple FVGs from different timeframes at the same level = strong institutional zone
⚙️ TECHNICAL PARAMETERS
• Detection: low > high (bullish) | high < low (bearish)
• Max boxes per timeframe: 500
• Max lines: 500
• Automatic memory management (old FVG deletion)
🎨 ADVANCED CUSTOMIZATION
• Separate background and border colors
• 4 label sizes: Tiny, Small, Normal, Large
• 3 label positions for current TF: Left, Center, Right
• MTF labels always positioned right for clarity
• Optional midlines with customizable style and color
💡 USAGE TIPS
1. Start with 2-3 timeframes maximum to avoid visual overload
2. Use contrasting colors to easily differentiate timeframes
3. Daily/Weekly gaps are perfect for identifying major institutional zones
4. Combine with your price action strategy for precise entries
5. Automatic closure helps identify when a zone is invalidated
📊 IDEAL FOR
• ICT Traders (Inner Circle Trader)
• Scalping & Day Trading
• Swing Trading
• Institutional zone analysis
• Multi-timeframe confluence trading
🔔 ALERTS
Configurable alerts for:
• New Bullish FVG detected
• New Bearish IFVG detected
---
© 2024 Alphaomega18 - All rights reserved
License: Mozilla Public License 2.0
🚦 Divergence Indicator for The Saty PO by TenAMTraderTenAM’s Traffic Light Divergence Indicator for The Saty Phase Oscillator
Overview:
This tool is designed to automatically detect regular and hidden divergences on price using data sourced from The Saty Phase Oscillator. Divergences are displayed directly on the chart using a simple traffic-light visual system:
🟢 Bullish Divergence
🔴 Bearish Divergence
🟡 Hidden Divergence
These markers highlight potential points of interest—not trade signals—based on the momentum behavior of the underlying oscillator relative to price.
How to Use:
Add The Saty Phase Oscillator to your chart.
Then load “TenAM’s Traffic Light Divergence Indicator for The Saty Phase Oscillator.”
IMPORTANT, In the indicator settings → Indicator Source, make sure you select:
Saty Phase Oscillator → Phase Oscillator
Set the indicator to plot on price (Settings → Style → "Overlay/Price").
Adjust detection preferences:
Enable Regular, Hidden, or both divergence types.
Configure Left and Right Pivot Lookbacks.
Recommended starting point: Right = 3, Left = 1.
Optimal values vary by timeframe and market—backtesting is encouraged.
Modify the Max Lookback Range (default: 60) and Min Lookback Range (default: 0) to refine how far back divergence scanning occurs.
Interpretation:
These are not buy or sell signals. They simply highlight areas where momentum and price behavior diverge, helping you evaluate potential entry opportunities or exhaustion zones.
Legal Disclaimer:
This indicator is for informational and educational purposes only. It does not constitute financial advice, investment advice, or a recommendation to buy or sell any security. Trading involves significant risk, and past performance does not guarantee future results. Users are fully responsible for their own trading decisions and outcomes. The creator of this script assumes no liability for any losses or damages arising from its use.
Impulse Reactor RSI-SMA Trend Indicator [ApexLegion]Impulse Reactor RSI-SMA Trend Indicator
Introduction and Theoretical Background
Design Rationale
Standard indicators frequently generate binary 'BUY' or 'SELL' signals without accounting for the broader market context. This often results in erratic "Flip-Flop" behavior, where signals are triggered indiscriminately regardless of the prevailing volatility regime.
Impulse Reactor was engineered to address this limitation by unifying two critical requirements: Quantitative Rigor and Execution Flexibility.
The Solution
Composite Analytical Framework This script is not a simple visual overlay of existing indicators. It is an algorithmic synthesis designed to function as a unified decision-making engine. The primary objective was to implement rigorous quantitative analysis (Volatility Normalization, Structural Filtering) directly within an alert-enabled framework. This architecture is designed to process signals through strict, multi-factor validation protocols before generating real-time notifications, allowing users to focus on structurally validated setups without manual monitoring.
How It Works
This is not a simple visual mashup. It utilizes a cross-validation algorithm where the Trend Structure acts as a gatekeeper for Momentum signals:
Logic over Lag: Unlike simple moving average crossovers, this script uses a 15-layer Gradient Ribbon to detect "Laminar Flow." If the ribbon is knotted (Compression), the system mathematically suppresses all signals.
Volatility Normalization: The core calculation adapts to ATR (Average True Range). This means the indicator automatically expands in volatile markets and contracts in quiet ones, maintaining accuracy without constant manual tweaking.
Adaptive Signal Thresholding: It incorporates an 'Anti-Greed' algorithm (Dynamic Thresholding) that automatically adjusts entry criteria based on trend duration. This logic aims to mitigate the risk of entering positions during periods of statistical trend exhaustion.
Why Use It?
Market State Decoding: The gradient Ribbon visualizes the underlying trend phase in real-time.
◦ Cyan/Blue Flow: Strong Bullish Trend (Laminar Flow).
◦ Magenta/Pink Flow: Strong Bearish Trend.
◦ Compressed/Knotted: When the ribbon lines are tightly squeezed or overlapping, it signals Consolidation. The system filters signals here to avoid chop.
Noise Reduction: The goal is not to catch every pivot, but to isolate high-confidence setups. The logic explicitly filters out minor fluctuations to help maintain position alignment with the broader trend.
⚖️ Chapter 1: System Architecture
Introduction: Composite Analytical Framework
System Overview
Impulse Reactor serves as a comprehensive technical analysis engine designed to synthesize three distinct market dimensions—Momentum, Volatility, and Trend Structure—into a unified decision-making framework. Unlike traditional methods that analyze these metrics in isolation, this system functions as a central processing unit that integrates disparate data streams to construct a coherent model of market behavior.
Operational Objective
The primary objective is to transition from single-dimensional signal generation to a multi-factor assessment model. By fusing data from the Impulse Core (Volatility), Gradient Oscillator (Momentum), and Structural Baseline (Trend), the system aims to filter out stochastic noise and identify high-probability trade setups grounded in quantitative confluence.
Market Microstructure Analysis: Limitations of Conventional Models
Extensive backtesting and quantitative analysis have identified three critical inefficiencies in standard oscillator-based strategies:
• Bounded Oscillator Limitations (The "Oscillation Trap"): Traditional indicators such as RSI or Stochastics are mathematically constrained between fixed values (0 to 100). In strong trending environments, these metrics often saturate in "overbought" or "oversold" zones. Consequently, traders relying on static thresholds frequently exit structurally valid positions prematurely or initiate counter-trend trades against prevailing momentum, resulting in suboptimal performance.
• Quantitative Blindness to Quality: Standard moving averages and trend indicators often fail to distinguish the qualitative nature of price movement. They treat low-volume drift and high-velocity expansion identically. This inability to account for "Volatility Quality" leads to delayed responsiveness during critical market events.
• Fractal Dissonance (Timeframe Disconnect): Financial markets exhibit fractal characteristics where trends on lower timeframes may contradict higher timeframe structures. Manual integration of multi-timeframe analysis increases cognitive load and susceptibility to human error, often resulting in conflicting biases at the point of execution.
Core Design Principles
To mitigate the aforementioned systemic inefficiencies, Impulse Reactor employs a modular architecture governed by three foundational principles:
Principle A:
Volatility Precursor Analysis Market mechanics demonstrate that volatility expansion often functions as a leading indicator for directional price movement. The system is engineered to detect "Volatility Deviation" — specifically, the divergence between short-term and long-term volatility baselines—prior to its manifestation in price action. This allows for entry timing aligned with the expansion phase of market volatility.
Principle B:
Momentum Density Visualization The system replaces singular momentum lines with a "Momentum Density" model utilizing a 15-layer Simple Moving Average (SMA) Ribbon.
• Concept: This visualization represents the aggregate strength and consistency of the trend.
• Application: A fully aligned and expanded ribbon indicates a robust trend structure ("Laminar Flow") capable of withstanding minor counter-trend noise, whereas a compressed ribbon signals consolidation or structural weakness.
Principle C:
Adaptive Confluence Protocols Signal validity is strictly governed by a multi-dimensional confluence logic. The system suppresses signal generation unless there is synchronized confirmation across all three analytical vectors:
1. Volatility: Confirmed expansion via the Impulse Core.
2. Momentum: Directional alignment via the Hybrid Oscillator.
3. Structure: Trend validation via the Baseline. This strict filtering mechanism significantly reduces false positives in non-trending (choppy) environments while maintaining sensitivity to genuine breakouts.
🔍 Chapter 2: Core Modules & Algorithmic Logic
Module A: Impulse Core (Normalized Volatility Deviation)
Operational Logic The Impulse Core functions as a volatility-normalized momentum gauge rather than a standard oscillator. It is designed to identify "Volatility Contraction" (Squeeze) and "Volatility Expansion" phases by quantifying the divergence between short-term and long-term volatility states.
Volatility Z-Score Normalization
The formula implements a custom normalization algorithm. Unlike standard oscillators that rely on absolute price changes, this logic calculates the Z-Score of the Volatility Spread.
◦ Numerator: (atr_f - atr_s) captures the raw momentum of volatility expansion.
◦ Denominator: (std_f + 1e-6) standardizes this value against historical variance.
◦ Result: This allows the indicator scales consistently across assets (e.g., Bitcoin vs. Euro) without manual recalibration.
f_impulse() =>
atr_f = ta.atr(fastLen) // Fast Volatility Baseline
atr_s = ta.atr(slowLen) // Slow Volatility Baseline
std_f = ta.stdev(atr_f, devLen) // Volatility Standard Deviation
(atr_f - atr_s) / (std_f + 1e-6) // Normalized Differential Calculation
Algorithmic Framework
• Differential Calculation: The system computes the spread between a Fast Volatility Baseline (ATR-10) and a Slow Volatility Baseline (ATR-30).
• Normalization Protocol: To standardize consistency across diverse asset classes (e.g., Forex vs. Crypto), the raw differential is divided by the standard deviation of the volatility itself over a 30-period lookback.
• Signal Generation:
◦ Contraction (Squeeze): When the Fast ATR compresses below the Slow ATR, it registers a potential volatility buildup phase.
◦ Expansion (Release): A rapid divergence of the Fast ATR above the Slow ATR signals a confirmed volatility expansion, validating the strength of the move.
Module B: Gradient Oscillator (RSI-SMA Hybrid)
Design Rationale To mitigate the "noise" and "false reversal" signals common in single-line oscillators (like standard RSI), this module utilizes a 15-Layer Gradient Ribbon to visualize momentum density and persistence.
Technical Architecture
• Ribbon Array: The system generates 15 sequential Simple Moving Averages (SMA) applied to a volatility-adjusted RSI source. The length of each layer increases incrementally.
• State Analysis:
Momentum Alignment (Laminar Flow): When all 15 layers are expanded and parallel, it indicates a robust trend where buying/selling pressure is distributed evenly across multiple timeframes. This state helps filter out premature "overbought/oversold" signals.
• Consolidation (Compression): When the distance between the fastest layer (Layer 1) and the slowest layer (Layer 15) approaches zero or the layers intersect, the system identifies a "Non-Tradable Zone," preventing entries during choppy market conditions.
// Laminar Flow Validation
f_validate_trend() =>
// Calculate spread between Ribbon layers
ribbon_spread = ta.stdev(ribbon_array, 15)
// Only allow signals if Ribbon is expanded (Laminar Flow)
is_flowing = ribbon_spread > min_expansion_threshold
// If compressed (Knotted), force signal to false
is_flowing ? signal : na
Module C: Adaptive Signal Filtering (Behavioral Bias Mitigation)
This subsystem, operating as an algorithmic "Anti-Greed" Mechanism, addresses the statistical tendency for signal degradation following prolonged trends.
Dynamic Threshold Adjustment
• Win Streak Detection: The algorithm internally tracks the outcome of closed trade cycles.
• Sensitivity Multiplier: Upon detecting consecutive successful signals in the same direction, a Penalty_Factor is applied to the entry logic.
• Operational Impact: This effectively raises the Required_Slope threshold for subsequent signals. For example, after three consecutive bullish signals, the system requires a 30% steeper trend angle to validate a fourth entry. This enforces stricter discipline during extended trends to reduce the probability of entering at the point of trend exhaustion.
Anti-Greed Logic: Dynamic Threshold Calculation
f_adjust_threshold(base_slope, win_streak) =>
// Adds a 10% penalty to the difficulty for every consecutive win
penalty_factor = 0.10
risk_scaler = 1 + (win_streak * penalty_factor)
// Returns the new, harder-to-reach threshold
base_slope * risk_scaler
Module D: Trend Baseline (Triple-Smoothed Structure)
The Trend Baseline serves as the structural filter for all signals. It employs a Triple-Smoothed Hybrid Algorithm designed to balance lag reduction with noise filtration.
Smoothing Stages
1. Volatility Banding: Utilizes a SuperTrend-based calculation to establish the upper and lower boundaries of price action.
2. Weighted Filter: Applies a Weighted Moving Average (WMA) to prioritize recent price data.
3. Exponential Smoothing: A final Exponential Moving Average (EMA) pass is applied to create a seamless baseline curve.
Functionality
This "Heavy" baseline resists minor intraday volatility spikes while remaining responsive to sustained structural shifts. A signal is only considered valid if the price action maintains structural integrity relative to this baseline
🚦 Chapter 3: Risk Management & Exit Protocols
Quantitative Risk Management (TP/SL & Trailing)
Foundational Architecture: Volatility-Adjusted Geometry Unlike strategies relying on static nominal values, Impulse Reactor establishes dynamic risk boundaries derived from quantitative volatility metrics. This design aligns trade invalidation levels mathematically with the current market regime.
• ATR-Based Dynamic Bracketing:
The protocol calculates Stop-Loss and Take-Profit levels by applying Fibonacci coefficients (Default: 0.786 for SL / 1.618 for TP) to the Average True Range (ATR).
◦ High Volatility Environments: The risk bands automatically expand to accommodate wider variance, preventing premature exits caused by standard market noise.
◦ Low Volatility Environments: The bands contract to tighten risk parameters, thereby dynamically adjusting the Risk-to-Reward (R:R) geometry.
• Close-Validation Protocol ("Soft Stop"):
Institutional algorithms frequently execute liquidity sweeps—driving prices briefly below key support levels to accumulate inventory.
◦ Mechanism: When the "Soft Stop" feature is enabled, the system filters out intraday volatility spikes. The stop-loss is conditional; execution is triggered only if the candle closes beyond the invalidation threshold.
◦ Strategic Advantage: This logic distinguishes between momentary price wicks and genuine structural breakdowns, preserving positions during transient volatility.
• Step-Function Trailing Mechanism:
To protect unrealized PnL while allowing for normal price breathing, a two-phase trailing methodology is employed:
◦ Phase 1 (Activation): The trailing function remains dormant until the price advances by a pre-defined percentage threshold.
◦ Phase 2 (Dynamic Floor): Once armed, the stop level creates a moving floor, adjusting relative to price action while maintaining a volatility-based (ATR) buffer to systematically protect unrealized PnL.
• Algorithmic Exit Protocols (Dynamic Liquidity Analysis)
◦ Rationale: Inefficiencies of Static Targets Static "Take Profit" levels often result in suboptimal exits. They compel traders to close positions based on arbitrary figures rather than evolving market structure, potentially capping upside during significant trends or retaining positions while the underlying trend structure deteriorates.
◦ Solution: Structural Integrity Assessment The system utilizes a Dynamic Liquidity Engine to continuously audit the validity of the position. Instead of targeting a specific price point, the algorithm evaluates whether the trend remains statistically robust.
Multi-Factor Exit Logic (The Tri-Vector System)
The Smart Exit protocol executes only when specific algorithmic invalidation criteria are met:
• 1. Momentum Exhaustion (Confluence Decay): The system monitors a 168-hour rolling average of the Confluence Score. A significant deviation below this historical baseline indicates momentum exhaustion, signaling that the driving force behind the trend has dissipated prior to a price reversal. This enables preemptive exits before a potential drawdown.
• 2. Statistical Over-Extension (Mean Reversion): Utilizing the core volatility logic, the system identifies instances where price deviates beyond 2.0 standard deviations from the mean. While the trend may be technically bullish, this statistical anomaly suggests a high probability of mean reversion (elastic snap-back), triggering a defensive exit to capitalize on peak valuation.
• 3. Oscillator Rejection (Immediate Pivot): To manage sudden V-shaped volatility, the system monitors RSI pivots. If a sharp "Pivot High" or divergence is detected, the protocol triggers an immediate "Peak Exit," bypassing standard trend filters to secure liquidity during high-velocity reversals.
🎨 Chapter 4: Visualization Guide
Gradient Oscillator Ribbon
The 15-layer SMA ribbon visualized via plot(r1...r15) represents the "Momentum Density" of the market.
• Visuals:
◦ Cyan/Blue Ribbon: Indicates Bullish Momentum.
◦ Pink/Magenta Ribbon: Indicates Bearish Momentum.
• Interpretation:
◦ Laminar Flow: When the ribbon expands widely and flows in parallel, it signifies a robust trend where momentum is distributed evenly across timeframes. This is the ideal state for trend-following.
◦ Compression (Consolidation): If the ribbon becomes narrow, twisted, or knotted, it indicates a "Non-Tradable Zone" where the market lacks a unified direction. Traders are advised to wait for clarity.
◦ Over-Extension: If the top layer crosses the Overbought (85) or Oversold (15) lines, it visually warns of potential market overheating.
Trend Baseline
The thick, color-changing line plotted via plot(baseline) represents the Structural Backbone of the market.
• Visuals: Changes color based on the trend direction (Blue for Bullish, Pink for Bearish).
• Interpretation:
Structural Filter: Long positions are statistically favored only when price action sustains above this baseline, while short positions are favored below it.
Dynamic Support/Resistance: The baseline acts as a dynamic support level during uptrends and resistance during downtrends.
Entry Signals & Labels
Text labels ("Long Entry", "Short Entry") appear when the system detects high-probability setups grounded in quantitative confluence.
• Visuals: Labeled signals appear above/below specific candles.
• Interpretation:
These signals represent moments where Volatility (Expansion), Momentum (Alignment), and Structure (Trend) are synchronized.
Smart Exit: Labels such as "Smart Exit" or "Peak Exit" appear when the system detects momentum exhaustion or structural decay, prompting a defensive exit to preserve capital.
Dynamic TP/SL Boxes
The semi-transparent colored zones drawn via fill() represent the risk management geometry.
• Visuals: Colored boxes extending from the entry point to the Take Profit (TP) and Stop Loss (SL) levels.
• Function:
Volatility-Adjusted Geometry: Unlike static price targets, these boxes expand during high volatility (to prevent wicks from stopping you out) and contract during low volatility (to optimize Risk-to-Reward ratios).
SAR + MACD Glow
Small glowing shapes appearing above or below candles.
• Visuals: Triangle or circle glows near the price bars.
• Interpretation:
This visual indicates a secondary confirmation where Parabolic SAR and MACD align with the main trend direction. It serves as an additional confluence factor to increase confidence in the trade setup.
Support/Resistance Table
A small table located at the bottom-right of the chart.
• Function: Automatically identifies and displays recent Pivot Highs (Resistance) and Pivot Lows (Support).
• Interpretation: These levels can be used as potential targets for Take Profit or invalidation points for manual Stop Loss adjustments.
🖥️ Chapter 5: Dashboard & Operational Guide
Integrated Analytics Panel (Dashboard Overview)
To facilitate rapid decision-making without manual calculation, the system aggregates critical market dimensions into a unified "Heads-Up Display" (HUD). This panel monitors real-time metrics across multiple timeframes and analytical vectors.
A. Intermediate Structure (12H Trend)
• Function: Anchors the intraday analysis to the broader market structure using a 12-hour rolling window.
• Interpretation:
◦ Bullish (> +0.5%): Indicates a positive structural bias. Long setups align with the macro flow.
◦ Bearish (< -0.5%): Indicates structural weakness. Short setups are statistically favored.
◦ Neutral: Represents a ranging environment where the Confluence Score becomes the primary weighting factor.
B. Composite Confluence Score (Signal Confidence)
• Definition: A probability metric derived from the synchronization of Volatility (Impulse Core), Momentum (Ribbon), and Trend (Baseline).
• Grading Scale:
Strong Buy/Sell (> 7.0 / < 3.0): Indicates full alignment across all three vectors. Represents a "Prime Setup" eligible for standard position sizing.
Buy/Sell (5.0–7.0 / 3.0–5.0): Indicates a valid trend but with moderate volatility confirmation.
Neutral: Signals conflicting data (e.g., Bullish Momentum vs. Bearish Structure). Trading is not recommended ("No-Trade Zone").
C. Statistical Deviation Status (Mean Reversion)
• Logic: Utilizes Bollinger Band deviation principles to quantify how far price has stretched from the statistical mean (20 SMA).
• Alert States:
Over-Extended (> 2.0 SD): Warning that price is statistically likely to revert to the mean (Elastic Snap-back), even if the trend remains technically valid. New entries are discouraged in this zone.
Normal: Price is within standard distribution limits, suitable for trend-following entries.
D. Volatility Regime Classification
• Metric: Compares current ATR against a 100-period historical baseline to categorize the market state.
• Regimes:
Low Volatility (Lvl < 1.0): Market Compression. Often precedes volatility expansion events.
Mid Volatility (Lvl 1.0 - 1.5): Standard operating environment.
High Volatility (Lvl > 1.5): Elevated market stress. Risk parameters should be adjusted (e.g., reduced position size) to account for increased variance.
E. Performance Telemetry
• Function: Displays the historical reliability of the Trend Baseline for the current asset and timeframe.
• Operational Threshold: If the displayed Win Rate falls below 40%, it suggests the current market behavior is incoherent (choppy) and does not respect trend logic. In such cases, switching assets or timeframes is recommended.
Operational Protocols & Signal Decoding
Visual Interpretation Standards
• Laminar Flow (Trade Confirmation): A valid trend is visually confirmed when the 15-layer SMA Ribbon is fully expanded and parallel. This indicates distributed momentum across timeframes.
• Consolidation (No-Trade): If the ribbon appears twisted, knotted, or compressed, the market lacks a unified directional vector.
• Baseline Interaction: The Triple-Smoothed Baseline acts as a dynamic support/resistance filter. Long positions remain valid only while price sustains above this structure.
System Calibration (Settings)
• Adaptive Signal Filtering (Prev. Anti-Greed): Enabled by default. This logic automatically raises the required trend slope threshold following consecutive wins to mitigate behavioral bias.
• Impulse Sensitivity: Controls the reactivity of the Volatility Core. Higher settings capture faster moves but may introduce more noise.
⚙️ Chapter 6: System Configuration & Alert Guide
This section provides a complete breakdown of every adjustable setting within Impulse Reactor to assist you in tailoring the engine to your specific needs.
🌐 LANGUAGE SETTINGS (Localization)
◦ Select Language (Default: English):
Function: Instantly translates all chart labels, dashboard texts into your preferred language.
Supported: English, Korean, Chinese, Spanish
⚡ IMPULSE CORE SETTINGS (Volatility Engine)
◦ Deviation Lookback (Default: 30): The period used to calculate the standard deviation of volatility.
Role: Sets the baseline for normalizing momentum. Higher values make the core smoother but slower to react.
◦ Fast Pulse Length (Default: 10): The short-term ATR period.
Role: Detects rapid volatility expansion.
◦ Slow Pulse Length (Default: 30): The long-term ATR baseline.
Role: Establishes the background volatility level. The core signal is derived from the divergence between Fast and Slow pulses.
🎯 TP/SL SETTINGS (Risk Management)
◦ SL/TP Fibonacci (Default: 0.786 / 1.618): Selects the Fibonacci ratio used for risk calculation.
◦ SL/TP Multiplier (Default: 1.5 / 2): Applies a multiplier to the ATR-based bands.
Role: Expands or contracts the Take Profit and Stop Loss boxes. Increase these values for higher volatility assets (like Altcoins) to avoid premature stop-outs.
◦ ATR Length (Default: 14): The lookback period for calculating the Average True Range used in risk geometry.
◦ Use Soft Stop (Close Basis):
Role: If enabled, Stop Loss alerts only trigger if a candle closes beyond the invalidation level. This prevents being stopped out by wick manipulations.
🔊 RIBBON SETTINGS (Momentum Visualization)
◦ Show SMA Ribbon: Toggles the visibility of the 15-layer gradient ribbon.
◦ Ribbon Line Count (Default: 15): The number of SMA lines in the ribbon array.
◦ Ribbon Start Length (Default: 2) & Step (Default: 1): Defines the spread of the ribbon.
Role: Controls the "thickness" of the momentum density visualization. A wider step creates a broader ribbon, useful for higher timeframes.
📎 DISPLAY OPTIONS
◦ Show Entry Lines / TP/SL Box / Position Labels / S/R Levels / Dashboard: Toggles individual visual elements on the chart to reduce clutter.
◦ Show SAR+MACD Glow: Enables the secondary confirmation shapes (triangles/circles) above/below candles.
📈 TREND BASELINE (Structural Filter)
◦ Supertrend Factor (Default: 12) & ATR Period (Default: 90): Controls the sensitivity of the underlying Supertrend algorithm used for the baseline calculation.
◦ WMA Length (40) & EMA Length (14): The smoothing periods for the Triple-Smoothed Baseline.
◦ Min Trend Duration (Default: 10): The minimum number of bars the trend must be established before a signal is considered valid.
🧠 SMART EXIT (Dynamic Liquidity)
◦ Use Smart Exit: Enables the momentum exhaustion logic.
◦ Exit Threshold Score (Default: 3): The sensitivity level for triggering a Smart Exit. Lower values trigger earlier exits.
◦ Average Period (168) & Min Hold Bars (5): Defines the rolling window for momentum decay analysis and the minimum duration a trade must be held before Smart Exit logic activates.
🛡️ TRAILING STOP (Step)
◦ Use Trailing Stop: Activates the step-function trailing mechanism.
◦ Step 1 Activation % (0.5) & Offset % (0.5): The price must move 0.5% in your favor to arm the first trail level, which sets a stop 0.5% behind price.
◦ Step 2 Activation % (1) & Offset % (0.2): Once price moves 1%, the trail tightens to 0.2%, securing the position.
🌀 SAR & MACD SETTINGS (Secondary Confirmation)
◦ SAR Start/Increment/Max: Standard Parabolic SAR parameters.
◦ SAR Score Scaling (ATR): Adjusts how much weight the SAR signal has in the overall confluence score.
◦ MACD Fast/Slow/Signal: Standard MACD parameters used for the "Glow" signals.
🔄 ANTI-GREED LOGIC (Behavioral Bias)
◦ Strict Entry after Win: Enables the negative feedback loop.
◦ Strict Multiplier (Default: 1.1): Increases the entry difficulty by 10% after each win.
Role: Prevents overtrading and entering at the top of an extended trend.
🌍 HTF FILTER (Multi-Timeframe)
◦ Use Auto-Adaptive HTF Filter: Automatically selects a higher timeframe (e.g., 1H -> 4H) to filter signals.
◦ Bypass HTF on Steep Trigger: Allows an entry even against the HTF trend if the local momentum slope is exceptionally steep (catch powerful reversals).
📉 RSI PEAK & CHOPPINESS
◦ RSI Peak Exit (Instant): Triggers an immediate exit if a sharp RSI pivot (V-shape) is detected.
◦ Choppiness Filter: Suppresses signals if the Choppiness Index is above the threshold (Default: 60), indicating a flat market.
📐 SLOPE TRIGGER LOGIC
◦ Force Entry on Steep Slope: Overrides other filters if the price angle is extremely vertical (high velocity).
◦ Slope Sensitivity (1.5): The angle required to trigger this override.
⛔ FLAT MARKET FILTER (ADX & ATR)
◦ Use ADX Filter: Blocks signals if ADX is below the threshold (Default: 20), indicating no trend.
◦ Use ATR Flat Filter: Blocks signals if volatility drops below a critical level (dead market).
🔔 Alert Configuration Guide
Impulse Reactor is designed with a comprehensive suite of alert conditions, allowing you to automate your trading or receive real-time notifications for specific market events.
How to Set Up:
Click the "Alert" (Clock) icon in the TradingView toolbar.
Select "Impulse Reactor " from the Condition dropdown.
Choose one of the specific trigger conditions below:
🚀 Entry Signals (Trend Initiation)
Long Entry:
Trigger: Fires when a confirmed Bullish Setup is detected (Momentum + Volatility + Structure align).
Usage: Use this to enter new Long positions.
Short Entry:
Trigger: Fires when a confirmed Bearish Setup is detected.
Usage: Use this to enter new Short positions.
🎯 Profit Taking (Target Levels)
Long TP:
Trigger: Fires when price hits the calculated Take Profit level for a Long trade.
Usage: Automate partial or full profit taking.
Short TP:
Trigger: Fires when price hits the calculated Take Profit level for a Short trade.
Usage: Automate partial or full profit taking.
🛡️ Defensive Exits (Risk Management)
Smart Exit:
Trigger: Fires when the system detects momentum decay or statistical exhaustion (even if the trend hasn't fully reversed).
Usage: Recommended for tightening stops or closing positions early to preserve gains.
Overbought / Oversold:
Trigger: Fires when the ribbon extends into extreme zones.
Usage: Warning signal to prepare for a potential reversal or pullback.
💡 Secondary Confirmation (Confluence)
SAR+MACD Bullish:
Trigger: Fires when Parabolic SAR and MACD align bullishly with the main trend.
Usage: Ideal for Pyramiding (adding to an existing winning position).
SAR+MACD Bearish:
Trigger: Fires when Parabolic SAR and MACD align bearishly.
Usage: Ideal for adding to short positions.
⚠️ Chapter 7: Conclusion & Risk Disclosure
Methodological Synthesis
Impulse Reactor represents a shift from reactive price tracking to proactive energy analysis. By decomposing market activity into its atomic components — Volatility, Momentum, and Structure — and reconstructing them into a coherent decision model, the system aims to provide a quantitative framework for market engagement. It is designed not to predict the future, but to identify high-probability conditions where kinetic energy and trend structure align.
Disclaimer & Risk Warnings
◦ Educational Purpose Only
This indicator, including all associated code, documentation, and visual outputs, is provided strictly for educational and informational purposes. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments.
◦ No Guarantee of Performance
Past performance is not indicative of future results. All metrics displayed on the dashboard (including "Win Rate" and "P&L") are theoretical calculations based on historical data. These figures do not account for real-world trading factors such as slippage, liquidity gaps, spread costs, or broker commissions.
◦ High-Risk Warning
Trading cryptocurrencies, futures, and leveraged financial products involves a substantial risk of loss. The use of leverage can amplify both gains and losses. Users acknowledge that they are solely responsible for their trading decisions and should conduct independent due diligence before executing any trades.
◦ Software Limitations
The software is provided "as is" without warranty. Users should be aware that market data feeds on analysis platforms may experience latency or outages, which can affect signal generation accuracy.
Bli-Rik : Trend + HTF 34 + HTF RSI Rel + Stoch Filtersprovides you accurate buy and sell signals on 5 mins and 15 mins chart, mainly foe sensex
Pure xATR ProUncover the hidden rhythm of the market with Pure xATR Pro. This indicator is designed for serious traders who need to understand "Price Extension". It calculates the precise distance between the price and the baseline Moving Average (MA) relative to market volatility (ATR). Instead of guessing top and bottom, visualize exactly where the price stands in the cycle—from extreme panic selling to euphoric profit-taking.
Key Features:
4-Stage Market Zoning System:
Panic Zone (Oversold): Identifies extreme price drops (statistically rare deviations). Often presents high-reward mean reversion opportunities.
Buy Zone (Entry): The sweet spot for trend initiation.
Hold / Winner Zone: Detects strong momentum. Keeps you in the trade while the trend is healthy (Ride the trend).
Profit Taking Zone (Overbought): signals when the price is statistically overextended and liable to pullback.
Adaptive Volatility Logic:
Includes a dynamic algorithm that analyzes historical volatility (Lookback Period) to automatically adjust Overbought/Oversold percentiles, adapting to changing market conditions.
Professional Dashboard:
Real-time Status: Displays current Zone, Volatility State (Breakout/Normal), and Actionable Advice.
Risk Management: Auto-calculates Dynamic Stop Loss (based on Supertrend, ATR, or MA) and Fixed % Risk.
Multi-Level Targets: Automatically projects 3 profit targets (TP) based on ATR multiples.
Clean & Customizable Visuals:
Smart Highlighting: Background colors automatically highlight key zones (Panic/Buy/Hold/Profit).
Style Control: Full color customization available directly in the "Style" tab for a clutter-free input menu.
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ค้นพบจังหวะที่แท้จริงของตลาดด้วย Pure xATR Pro อินดิเคเตอร์ระดับมืออาชีพที่ออกแบบมาเพื่อวิเคราะห์ "ระยะการยืดตัวของราคา" (Price Extension) โดยคำนวณระยะห่างระหว่างราคากับเส้นค่าเฉลี่ย (MA) เทียบกับความผันผวน (ATR) ช่วยให้คุณเห็นภาพชัดเจนว่าราคา ณ ปัจจุบันอยู่ในสถานะใด ตั้งแต่จุดที่คนเทขายด้วยความตกใจ (Panic) ไปจนถึงจุดที่ราคาแพงเกินไปและควรขายทำกำไร
ฟีเจอร์หลัก (Key Features):
ระบบแบ่งโซนตลาด 4 ระดับ (4-Stage Zoning):
Panic Zone (โซนของถูก/Oversold): จับจังหวะที่ราคาดิ่งลงแรงผิดปกติ ซึ่งมักเป็นจุดกลับตัวที่ให้ผลตอบแทนสูง (High Reward)
Buy Zone (โซนสะสม): จุดเริ่มต้นของเทรนด์ เป็นระยะปลอดภัยในการเข้าออเดอร์
Hold / Winner Zone (โซนรันเทรนด์): แยกแยะช่วงที่เทรนด์แข็งแกร่ง ให้คุณ "ถือสถานะต่อ" (Let Profit Run) ไม่ขายหมู
Profit Taking Zone (โซนขายทำกำไร): แจ้งเตือนเมื่อราคาวิ่งไปไกลเกินค่าเฉลี่ยทางสถิติ (Overextended) เพื่อพิจารณาขาย
ระบบปรับตัวตามความผันผวน (Adaptive Logic):
อัลกอริทึมอัจฉริยะที่คำนวณค่า Percentile ย้อนหลัง เพื่อปรับระดับ Overbought/Oversold ให้เหมาะสมกับสภาวะตลาดที่เปลี่ยนไปโดยอัตโนมัติ
หน้าปัดสถานะครบวงจร (Professional Dashboard):
แสดงสถานะปัจจุบัน (Action), ระดับความผันผวน, และคำแนะนำแบบ Real-time
Risk Management: คำนวณจุด Stop Loss ให้อัตโนมัติ (เลือกสูตรได้: Supertrend, ATR, หรือ MA)
Target Projection: คำนวณเป้าหมายทำกำไร (TP) ให้ล่วงหน้า 3 ระดับตามระยะ ATR
กราฟสะอาดตา ปรับแต่งง่าย (Clean Visuals):
Smart Highlight: ไฮไลท์สีพื้นหลังตามโซนต่างๆ อัตโนมัติ (Panic/Buy/Hold/Profit) ทำให้ดูเทรนด์ง่ายเพียงกวาดตา
Customizable: ปรับแต่งสีและความโปร่งใสได้อิสระผ่านแถบ "Style" เพื่อกราฟที่ดูเป็นระเบียบและไม่รกสายตา
Volatility Radar [upslidedown]💎 Overview
Volatility Radar visualizes extreme volatility conditions in a clean, intuitive oscillator format.
Unlike traditional momentum oscillators, it transforms average true range (ATR) behavior into a directional volatility structure, making it easier to spot moments when markets may be shifting into expansion, compression, or potential pivot zones.
💎 How to Use
The oscillator highlights moments when the internal volatility condition becomes active as well as when that condition breaks. These events may coincide with structural turning points, breakout conditions, or volatility expansions. While not a prediction tool, Volatility Radar helps traders identify moments worth paying closer attention to.
💎 Signal Markers
■ Square icons on top/bottom identify when the Volatility Radar condition is ACTIVE
▲▼ Triangle icons on top/bottom identify when the Volatility Radar condition BREAKS
📌 Chart Example:
💎 Oscillator Trends
One of the core features of Volatility Radar is its ability to highlight positive or negative volatility trends. The oscillator automatically colors its components to reflect uptrending vs. downtrending volatility structure, making trend context easier to interpret at a glance.
📌 Chart Example:
💎 Histogram Trends
For users who prefer a more compact or traditional visual style, Volatility Radar includes an optional histogram display mode. This mode provides a clean representation of the detected trend and can be helpful for validating price-action concepts within the broader volatility context.
📌 Chart Example:
💎 Volatility Moving Average
The yellow moving average line offers a volatility moving average that can aid in determining longer term trend strength.
Interpret the trend direction by observing whether the average is increasing/decreasing or above/below the zero line.
Reversals may be observed when values move into oversold territories.
Trend continuation may occur during periods when the average is near the zero line.
Evaluate opportunities when the moving average is "touched" or "pinged" by the radar line (setting available to highlight these crosses).
📌 Chart Example:
💎 Backtesting Support
Volatility Radar outputs external signals designed for use with automated backtesting on TradingView. It integrates with @jason5480’s open-source Template Trailing Strategy and its supporting signal libraries.
4x Stochastic Combo - %K only4x Stochastic Combo in one indicator.
Default parameters: (9, 3, 3), (14, 3, 3), (40, 4, 4), (60, 10, 10)
Only %K is shown.
Possibility to set alerts "all above 80" or "all below 20".
How to use:
Look for divergence after getting an alert for good quality signals. Connect the stochastic signals with multi-timeframe analysis.
UM OBV with Signal (EMA/SMA/WMA/NWE)SUMMARY
A visual OBV trend tool that highlights bullish and bearish volume pressure using smart smoothing and intuitive color-coding.
⸻
WHY THIS INDICATOR?
There are only three variables you can adjust on a chart: price, volume, and time. I wanted a good volume indicator.
⸻
DESCRIPTION
This tool extends classic On-Balance Volume with selectable trend smoothing (EMA, SMA, WMA, or NWE) and visual directional coloring on both OBV and the Signal line. Green shows bullish volume flow, red shows bearish volume flow. Optional crossover markers help confirm shifts in buying pressure.
Nadaraya-Watson Regression (NWE) provides a smooth, non-MA alternative for filtering volume trend noise, and optional dual-NWE coloring helps reduce false flips in choppy markets.
⸻
THE CHART
The indicator is added twice at the bottom; once with a 21 EMA and again with a 55 SMA. The chart has text and illustrations to show where the OBV flipped colors. More red equals more selling pressure. More green equals more buying volume or pressure.
⸻
DEFAULTS
• OBV smoothing length = 3
• Signal = 21 EMA
• Crossover bubbles are hidden/off by default
⸻
SUGGESTED USES
• Combine with price structure, momentum, or volatility tools to confirm trend strength.
• Try switching between EMA and NWE on faster intraday charts to see volume trend earlier.
• Use crossover signals as secondary confirmation rather than standalone entries.
• Use this indicator with your other favorite indicators for confirmation.
• Select timeframes suitable to your style of trading.
• I use the 30-minute, 6-hour, and Daily timeframes.
• I question myself if I am buying something with this indicator being red.
• Experiment with various timeframes and settings.
⸻
AUTHOR OBSERVATIONS
OBV often turns before price—especially when volume surges ahead of breakout levels.
NWE tends to smooth choppy OBV much better than traditional moving averages in noisy markets.
Look for Signal color flips at key support/resistance or volatility inflection points.
⸻
ALERTS
Right-click the indicator and choose Add alert… – two presets are available:
• Bullish OBV Turning Up
• Bearish OBV Turning Down
wedge hunter (Buy - Sell) signalsthis indicator can work on different options like forex and stock markets(shares).
this indicator watching charts for highs and lows and search for squeeze and pıvots for finding entrıes. i try to help to community for understand the formations and easly find an entry point. with rsi confirmation you find the best entry locations
Vdubus MacD Divergence Trend Break Signal Generator Vdubus Divergence Wave Theory v1
System Type: Momentum Trendline Breakout & Continuation Model Platform:
1. Executive Summary
The Vdubus Divergence Wave Theory v1 is a sophisticated trend-following and reversal strategy developed over a 10-year period. Unlike standard indicators that rely on simple crossovers, this system applies Price Action geometry (Trendlines) directly to Momentum (MACD).
PREVIOUS DIVERGENCE PROJECTS FUTURE TREND BREAKS/ REVERSALS !
The core philosophy is that momentum breaks trendlines before price does. By identifying compression in the MACD oscillator and trading the breakout of that compression, the system identifies high-probability entries for both Reversals and Trend Continuations.
2. Core Logic & Methodology
The indicator operates on three specific layers of logic:
A. The Engine (Modified MACD)
It utilizes a custom-tuned MACD (Moving Average Convergence Divergence) to smooth out noise while retaining responsiveness.
Fast Length: 12
Slow Length: 34 (Smoother than the standard 26)
Signal Smoothing: 5
B. Dynamic Trendline Projection (The "Divergence" Aspect)
The script uses a Pivot-based algorithm to mathematically identify peaks and troughs in momentum.
Resistance Projection: It identifies lower highs in the MACD (momentum is fading) and projects a red resistance line forward.
Support Projection: It identifies higher lows in the MACD (momentum is building) and projects a blue support line forward.
The Trigger: A signal is generated only when the MACD line physically crosses these invisible projected barriers.
C. The Wave Theory (Signal Classification)
The system distinguishes between "Reversals" and "Continuations" based on the Zero Line.
Below Zero: Considered "Bearish Territory." A break upward here is a Reversal.
Above Zero: Considered "Bullish Territory." A break upward here is Momentum Continuation (Overbought).
3. Signal Types & Visual Guide
The indicator outputs four distinct signals, color-coded for instant decision-making.
🟢 1. LONG (Standard Reversal)
Condition: MACD breaks a Resistance Trendline while Below Zero.
Meaning: Momentum has finished causing the price to drop and is reversing upward. This is often a "Buy the Bottom" signal.
Visuals: Green Box, Green "LONG" Label.
🔵 2. OB-CONT (Overbought Continuation)
Condition: MACD breaks a Resistance Trendline while Above Zero.
Meaning: The trend is already bullish, but momentum consolidated briefly before exploding higher. This indicates a "Second Wave" or trend continuation.
Visuals: Blue Box (Thick Border), Bright Blue "OB-CONT" Label.
🔴 3. SHORT (Standard Reversal)
Condition: MACD breaks a Support Trendline while Above Zero.
Meaning: Momentum has exhausted to the upside and is rolling over. This is often a "Sell the Top" signal.
Visuals: Red Box, Red "SHORT" Label.
🟠 4. OS-CONT (Oversold Continuation)
Condition: MACD breaks a Support Trendline while Below Zero.
Meaning: The trend is already bearish, but price paused briefly before dropping further. This indicates a "Waterfall" or trend continuation downward.
Visuals: Orange Box (Thick Border), Bright Orange "OS-CONT" Label.
4. Technical Settings (Inputs)
Users can adjust the sensitivity of the "Wave" detection:
Pivot Lookback Left (Default: 20): How many bars to the left the script checks to confirm a major peak/valley. Higher numbers = fewer, more significant signals. Lower numbers = more signals, potentially more noise.
Pivot Lookback Right (Default: 20): The confirmation period. A value of 20 ensures that the pivot used for the trendline is a significant structural point, not just a small blip.
5. Best Practices for Trading
The Box Break: The coloured box drawn around the signal represents the "Breakout Candle." A strong close outside this box often confirms the move.
Zero Line Authority: Pay attention to where the cross happens.
Crosses occurring near the Zero Line are often the most explosive, as they represent a full momentum shift.
Deep Continuation Signals (e.g., an OB-CONT very high up) should be treated with caution as the move might be exhausted.
Divergence Context: This tool is designed to visualize the breaking of divergence. When you see a Price making higher highs but the MACD making lower highs (Divergence), wait for the Red Line Break (Short Signal) to confirm the trade.
Quantum Oscillator + SignalsQuantum Oscillator + Signals
The Quantum Oscillator + Signals is a complete, all-in-one trading system designed to filter market noise and provide high-probability trade setups. By combining a custom momentum oscillator with an EMA Cloud, dynamic Support & Resistance levels, and a real-time Data Dashboard, this tool helps traders identify trends, pullbacks, and reversals with precision.
🚀 Key Features
1. 🌊 Quantum Oscillator & Signals
Trend Entries: Clear Buy (Green Triangle) and Sell (Red Triangle) signals based on momentum crossovers aligned with the trend.
Pullback Detection: Automatically spots low-risk entry opportunities marked as "PB" when price retraces within a strong trend.
Reversal Alerts:
💰 Money Bags: Indicate "Extreme" overbought/oversold conditions (Levels 90/10) — potential major tops or bottoms.
🔵 TP Dots: Indicate "Moderate" reversals (Levels 80/20) — ideal zones for taking profits.
2. 📊 Advanced Data Dashboard
A professional, Dark Mode panel that displays real-time market health.
Trend Status: Instantly see if the market is Bullish or Bearish.
Trend Strength: Uses ADX to classify the trend as Strong 💪, Weak ❄️, or Neutral 😴.
Confluence Score: A dynamic 0-5 Score rating the quality of the current market setup.
Trade Status: Gives a clear "YES" or "NO" on whether market conditions are safe to trade.
3. 🧱 Dynamic Support & Resistance
Automatically draws Support (Green) and Resistance (Red) lines based on pivot points.
Lines extend until price touches or closes beyond them, helping you spot key breakout levels without drawing them manually.
4. ☁️ EMA Trend Cloud
Visualizes the long-term trend using a 50/200 EMA Cloud.
Green Cloud: Long-term Bullish Trend.
Red Cloud: Long-term Bearish Trend.
Includes a 20 EMA filter line to keep you on the right side of short-term momentum.
5. 🕯️ Real Price Tracker
Displays the Actual Closing Price line and dots.
Crucial for Heikin Ashi Traders: See the real price action overlay without switching chart types.
🛠️ How to Trade
1. Trend Following: Look for Triangle Signals that match the EMA Cloud color.
Example: Green Cloud + Green Triangle = High Probability Long.
2. Pullbacks: Enter on "PB" signals. These are often the safest entries as they catch the trend after a dip.
3. Exits: Use the TP Dots or Money Bags (💰) as targets to lock in profits.
4. Confirmation: Check the Dashboard! Ideally, look for a Confluence Score of 4/5 or higher before entering.
⚙️ Customization
Filters: Toggle ADX, Volume, and Time Session filters to suit your strategy.
Styling: Fully customizable colors, dashboard size, and line styles.
Dashboard: Can be toggled on/off or resized to fit your screen.
Institutional 50: The Truth TellerOverview This is a comprehensive "Fusion Strategy" overlay designed to filter out false breakouts and catch high-probability trends. It upgrades the classic EMA 50 Cross Strategy by "locking" the signal with Institutional Volume Flow (VFI) and adding an automated Fibonacci safety guard.
The Problem Standard moving average strategies often fail in two scenarios:
Fakeouts: Price crosses the line, but there is no real volume backing the move.
Choppy Markets: The price dances around the line, generating multiple false signals.
The Solution: Triple-Layer Filtering This indicator solves these issues using a strict logic:
The Trigger (EMA 50): The primary signal is generated when price crosses the EMA 50.
The Lock (VFI Filter): A signal is ONLY valid if the Volume Flow Indicator (VFI) confirms the direction (Positive for Buy, Negative for Sell). If price crosses but VFI disagrees, the line turns GRAY, warning of a "Empty Rally" or "Bear Trap."
The Safety (Fib Guard): The system automatically draws invisible Fibonacci retracement levels based on recent price action. If a trend reverses and breaks the Golden Ratio (0.618), a Yellow Warning Arrow appears, signaling a potential trend failure.
Anti-Chop Filter: It calculates the slope of the EMA. If the market is flat/ranging, the line turns WHITE and signals are suppressed.
Visual Guide & Legend
🟢 Green Line + BUY Label: Confirmed Uptrend (Price > EMA 50 + Positive Institutional Volume).
🔴 Red Line + SELL Label: Confirmed Downtrend (Price < EMA 50 + Negative Institutional Volume).
⚪ Gray Line: CAUTION. Price has crossed the EMA, but Volume does NOT confirm. Do not enter.
⬜ White Line / Background: CHOP ZONE. The market is ranging/flat. No trades.
⚠️ Yellow Arrows (EXIT?): The price has moved against the trend and broken key Fibonacci Support/Resistance. Consider tightening stops or exiting.
Best For:
Trend Following on 1H, 4H, and Daily timeframes.
Traders looking to filter out "Noise" and focus only on Volume-Backed moves.
7 hours ago
Release Notes
Update: Visual Risk Management (The Fade Effect)
This update transforms the indicator from a simple Trend Follower into a Dynamic Momentum Monitor. Instead of just telling you "Up" or "Down," the line now visually communicates the strength of the trend in real-time.
The Logic: Main Trend vs. Immediate Momentum We introduced a secondary, faster engine in the background (EMA 13) to act as a "Pulse Check" against the Main Trend (EMA 50).
How to Read the Line:
1. Solid, Bright Line (Full Opacity) = "Full Throttle" 🟢🔴
Condition: Price is respecting BOTH the Main Trend (50) and the Fast Momentum (13).
Meaning: The trend is healthy and accelerating. Hold your position with confidence.
2. Faded, Transparent Line (Ghost Mode) = "Deceleration Warning" ⚠️
Condition: Price is still respecting the Main Trend (50), BUT has broken the Fast Momentum (13).
Meaning: The trend is getting tired. The major direction hasn't flipped yet, but the immediate momentum is gone.
Action: This is your Early Warning Signal. Consider tightening stops, taking partial profits, or preparing for a potential reversal. Do not add to positions when the line is faded.
Summary:
Bright Green: Strong Buy.
Faded Green: Weakening Uptrend (Caution).
Bright Red: Strong Sell.
Faded Red: Weakening Downtrend (Caution).
RSI MACD Proportional ComboThis indicator combines two of the most widely used momentum tools in the market:
RSI and MACD into a single proportional framework.
MACD values are normalized so they can be displayed together with RSI on the same 0–100 scale. This allows both signals to be compared directly and interpreted more intuitively.
In this structure, RSI’s 50 midline effectively functions like MACD’s zero line, helping traders quickly identify momentum shifts without needing to view separate panels or raw MACD values. The result is a clean, unified momentum indicator that simplifies trend direction, overbought/oversold conditions, and MACD-style crossovers within one combined visual tool.
Trend with ADX, multiple EMAs - Buy & Sell✔ Trend Direction
Via DI+ > DI–
✔ Trend Strength
Via ADX
✔ Fast Entry Signals
5/8 EMA crossovers
✔ Larger Trend Confirmation
13/48 EMA crossovers
✔ Macro Trend
EMA 200
✔ Intraday Bias
VWAP
✔ Visual Trend (background)
✔ Alerts for signals + trend shifts
White Crow**White Crow — cluster reversal signals + market structure**
> Indicator that helps you read market structure (pivots, trend, last extremes) and spot potential reversals through CCI/RSI signal clusters. This is *not* a standalone trading system and does not guarantee any result — it is a tool for filtering and confirming your own market ideas.
---
## 1. Concept
White Crow combines three core blocks:
1. **Pivots & market structure**
Automatically detects **local tops/bottoms** and derives a *Bullish / Bearish / Sideways* bias from them.
In the top-right corner you see a compact panel with current trend and **Last Bottom / Last Top** prices.
2. **Momentum & overbought/oversold zones**
Inside, the indicator uses:
* **CCI** with fixed levels `+100 / -100`;
* an optional **RSI filter** with overbought/oversold levels (`80 / 20`).
These generate basic *Buy / Close* signals.
3. **Cluster signals Buy X / CloseV**
The script tracks **clusters of signals inside a 4-bar window** and highlights rarer, “amplified” events:
* **Buy X** — cluster buy signal (multiple buy conditions in a row);
* **CloseV** — cluster signal for exit/reversal.
**Buy X and CloseV are the strongest and most reliable signals in this indicator** because they are based on repeated conditions rather than a single bar. They work **best on higher timeframes (1H–4H)**, where they reflect meaningful shifts in order flow instead of noise.
> ⚠️ Important: Buy X and CloseV are *only signals*. They must be used as **one of several confirmation factors** for your own view of market structure (support/resistance, trend, price action, volume, etc.), not as standalone reasons to enter or exit trades.
---
## 2. How it works
### 2.1. Pivots and trend detection
* The indicator builds a **zigzag-like structure**:
after a local high, once price retraces down by a given percentage (`pivotSigma`), a **Top** is marked;
after a local low, once price retraces up by the same percentage, a **Bottom** is marked.
* Using the sequence of recent tops and bottoms, the script determines the trend:
* *Bullish* — the last low is higher than the previous one (HL);
* *Bearish* — the last high is lower than the previous one (LH);
* otherwise — *Sideways*.
* The info table shows:
* **Market Trend** — Bullish / Bearish / Sideways;
* **Last Bottom / Last Top** with adaptive decimal precision (works for crypto, FX, stocks, etc.).
### 2.2. Base Buy / Close signals
* **Long condition (Buy):**
* `CCI < -100` (oversold),
* if RSI filter is enabled — `RSI < 20`.
* **Short/Exit condition (Close):**
* `CCI > +100` (overbought),
* if RSI filter is enabled — `RSI > 80`.
These conditions generate the regular **Buy** and **Close** labels on the chart.
### 2.3. Clusters: Buy X and CloseV
To reduce noise, the indicator evaluates not only the current bar, but also the **last 4 bars**:
* `buy_count` — how many times the long condition was true within the last 4 bars;
* `sell_count` — how many times the short condition was true within the last 4 bars.
Then:
* **Buy X** appears when:
* `buy_count ≥ 2` (conditions for Buy were met on at least 2 of the last 4 bars),
* the time filter between two Buy X signals is satisfied (`Min Bars Between Signals`).
* **CloseV** appears when:
* `sell_count ≥ 2`,
* the required number of bars has passed since the previous CloseV.
> ✅ This is why **Buy X / CloseV are stronger and more trustworthy than single Buy/Close signals**, especially on **1H–4H** timeframes: the market confirms the same overbought/oversold condition several times in a row.
### 2.4. Order Blocks
* When `Show Order Blocks` is enabled, the indicator highlights **impulsive candles** whose body exceeds a threshold based on ATR.
* Colored rectangles mark **potential order blocks** (areas where strong buying or selling previously occurred).
## 3. Inputs and customization
Inputs are grouped in TradingView-friendly categories.
### 3.1. Pivot Settings
* `Show Pivots` — enable/disable **Top / Bottom** markers.
* `Sigma (% retracement)` — pivot sensitivity (minimum retracement in % required to confirm a pivot).
* Colors for Top/Bottom — for visual tuning.
**Tip:**
On H1–H4 you can keep near-default values.
On lower timeframes, reduce `Sigma` if you want more detailed local structure.
### 3.2. CCI / RSI Settings
* `CCI Period` — CCI length (short by default for faster reaction).
* `Enable RSI Filter` / `RSI Period` — toggle and length for RSI filter.
* RSI levels are fixed at **20 / 80** to mark strong oversold/overbought zones.
**Usage:**
* For more conservative entries — keep the RSI filter enabled.
* For more frequent signals (e.g. scalping) — you can disable the RSI filter.
### 3.3. Order Blocks
* `Show Order Blocks` — display order block zones.
* `Block Threshold (ATR multiplier)` — how large a candle must be (vs ATR) to be considered significant.
### 3.4. Signals & Filters
* `Show Buy / Show Buy X / Show Close / Show CloseV` — choose which labels you want to see.
* `Enable Time Filter` — enable minimum spacing between amplified signals.
* `Min Bars Between Signals` — how many bars must pass between two Buy X or two CloseV signals.
**Tip:**
If you see too many amplified signals, increase `Min Bars Between Signals`.
If you want more activity, decrease it.
### 3.5. Alerts
* `Buy Alerts / Buy X Alerts / Close Alerts / CloseV Alerts` — choose which signal types should trigger alerts.
* `One Alert Per Bar` — when enabled, alerts are triggered only once per bar (recommended for H1–H4).
Alerts are generated via `alert()`, with messages that include signal type, ticker, timeframe and current price.
---
## 4. How to trade with White Crow
### 4.1. Recommended timeframes
* 📌 **Main focus: 1H–4H.**
On these timeframes:
* pivots and trend are more stable;
* CCI/RSI reflect meaningful swings;
* **Buy X / CloseV clusters** filter out a lot of intrabar noise.
You can still experiment on M1–M15, but expect more signals and more sensitivity to noise.
### 4.2. Reading the signals step by step
1. **Start with context**
* Look at **Market Trend / Last Bottom / Last Top** in the info panel.
* See where price is relative to these points: near resistance, near support, inside a range, etc.
2. **Identify zones of interest**
* Use pivots and order blocks as potential support/resistance areas.
* Wait for price to approach these zones.
3. **Watch the signals**
* **Buy** — early sign of local oversold conditions.
* **Buy X** — amplified cluster signal; more weight than a single Buy.
* **Close** — early warning of potential exhaustion in the current move.
* **CloseV** — amplified cluster exit/reversal signal.
4. **Practical approach**
* In a *Bullish* trend:
* focus on **Buy / Buy X** near bottoms and demand blocks;
* use **Close / CloseV** for partial profit-taking or tightening stops.
* In a *Bearish* trend:
* focus on **Close / CloseV** near tops and supply blocks;
* use **Buy / Buy X** mainly for countertrend scalps with strict risk control.
---
## 5. Important notes and disclaimer
1. **Buy X / CloseV are stronger — but not “magic” signals.**
They are statistically more meaningful than single Buy/Close signals because:
* they require multiple confirmations within a cluster;
* they are time-filtered.
However, **false signals are still possible**, especially in news spikes and low-liquidity conditions.
2. **Best performance on higher timeframes (1H–4H).**
Here, Buy X and CloseV usually reflect genuine shifts in supply/demand rather than micro noise.
3. **This is a confirmation tool, not a complete system.**
Pro Trading White Crow:
* does not manage risk;
* does not define position size or stop-loss;
* does not replace your own analysis.
Always use its signals as **one of several confluence factors** together with structure, trend, price action, volume, and your trading plan.
4. **Educational purpose only.**
This script and description are for educational and analytical purposes only.
They **do not constitute investment advice or a guarantee of profit**.
You are fully responsible for all trading decisions and risk management.
---
---
## White Crow — кластерные сигналы разворота + структура рынка
> Индикатор помогает читать рыночную структуру (пивоты, тренд, последние экстремумы) и находить потенциальные развороты через кластеры сигналов CCI/RSI. Это *не* готовая торговая система и *не* гарантия результата — а инструмент для фильтрации и подтверждения ваших собственных идей по рынку.
---
## 1. Концепция
White Crow объединяет три ключевых блока:
1. **Пивоты и структура рынка**
Автоматически находит **локальные вершины и впадины** и на их основе формирует трендовое смещение: *Bullish / Bearish / Sideways*.
В правом верхнем углу — компактная панель с текущим трендом и ценами **Last Bottom / Last Top**.
2. **Моментум и зоны перегрева**
Внутри используются:
* **CCI** с фиксированными уровнями `+100 / -100`;
* опциональный **фильтр RSI** с уровнями перепроданности/перекупленности (`20 / 80`).
По ним строятся базовые сигналы *Buy / Close*.
3. **Кластерные сигналы Buy X / CloseV**
Скрипт отслеживает **кластеры сигналов внутри окна в 4 бара** и выделяет более редкие, «усиленные» события:
* **Buy X** — кластерный сигнал покупки (несколько buy-условий подряд);
* **CloseV** — кластерный сигнал выхода/разворота.
Именно **Buy X и CloseV являются наиболее сильными и достоверными сигналами индикатора**, так как возникают при повторяющемся выполнении условий, а не на одном баре. Лучше всего они работают **на старших таймфреймах (1–4 часа)**, где отражают реальное смещение баланса спроса/предложения, а не рыночный шум.
> ⚠️ Важно: Buy X и CloseV — *это всего лишь сигналы*. Они должны использоваться **как один из факторов подтверждения** вашего видения структуры рынка (уровни, тренд, price action, объём и т.д.), а не как единственная причина для входа или выхода.
---
## 2. Как это работает
### 2.1. Пивоты и определение тренда
* Индикатор строит **структуру в стиле зигзага**:
после локального максимума, когда цена откатывает вниз на заданный процент (`pivotSigma`), отмечается **Top**;
после локального минимума, когда цена откатывает вверх на тот же процент, отмечается **Bottom**.
* По последовательности последних вершин и впадин определяется тренд:
* *Bullish* — последний минимум выше предыдущего (HL);
* *Bearish* — последний максимум ниже предыдущего (LH);
* иначе — *Sideways*.
* В информационной таблице отображаются:
* **Market Trend** — Bullish / Bearish / Sideways;
* **Last Bottom / Last Top** с адаптивным количеством знаков (подходит под крипту, форекс, акции и т.д.).
### 2.2. Базовые сигналы Buy / Close
* **Условие для Buy (лонг):**
* `CCI < -100` (зона перепроданности),
* при включённом фильтре — `RSI < 20`.
* **Условие для Close (шорт/выход):**
* `CCI > +100` (зона перекупленности),
* при включённом фильтре — `RSI > 80`.
По этим условиям индикатор рисует обычные метки **Buy** и **Close**.
### 2.3. Кластеры: Buy X и CloseV
Чтобы отсеять лишний шум, индикатор оценивает не только текущий бар, но и **4 последних бара**:
* `buy_count` — сколько раз условие на покупку выполнялось за последние 4 бара;
* `sell_count` — сколько раз условие на продажу/выход выполнялось за последние 4 бара.
Далее:
* **Buy X** появляется, когда:
* `buy_count ≥ 2` (минимум на 2 из 4 баров были условия для покупки),
* соблюдён фильтр по времени между усиленными сигналами (`Min Bars Between Signals`).
* **CloseV** появляется, когда:
* `sell_count ≥ 2`,
* прошло достаточно баров с момента предыдущего CloseV.
> ✅ Поэтому **Buy X и CloseV заметно сильнее и надёжнее одиночных Buy/Close**, особенно на **таймфреймах 1–4 часа**: рынок несколько раз подряд подтверждает один и тот же перегрев/разрядку момента.
### 2.4. Order Blocks
* При включённом `Show Order Blocks` индикатор выделяет **импульсные свечи**, чьё тело больше заданного множителя ATR.
* По таким свечам строятся цветные прямоугольники — **потенциальные блоки ордеров** (области поддержек/сопротивлений, где ранее проходил крупный объём).
---
## 3. Настройки и кастомизация
Настройки сгруппированы в привычные разделы TradingView.
### 3.1. Pivot Settings
* `Show Pivots` — включить/выключить метки **Top / Bottom**.
* `Sigma (% retracement)` — чувствительность к пивотам (минимальная глубина отката в процентах).
* Цвета Top/Bottom — визуальная настройка.
**Совет:**
На H1–H4 можно оставить значения близкие к стандартным.
На младших ТФ уменьшайте `Sigma`, если нужна более детальная структура.
### 3.2. CCI / RSI Settings
* `CCI Period` — период CCI (по умолчанию короткий, для более быстрой реакции).
* `Enable RSI Filter` / `RSI Period` — включение и длина RSI-фильтра.
* Уровни RSI фиксированы: **20 / 80**, выделяя сильную перепроданность/перекупленность.
**Использование:**
* Для более консервативной торговли — держите фильтр RSI включённым.
* Для более частых сигналов (скальпинг и т.п.) — можно фильтр отключить.
### 3.3. Order Blocks
* `Show Order Blocks` — отображение блоков ордеров.
* `Block Threshold (ATR multiplier)` — насколько большой должна быть свеча относительно ATR, чтобы считаться значимой.
### 3.4. Signals & Filters
* `Show Buy / Show Buy X / Show Close / Show CloseV` — выбор типов отображаемых меток.
* `Enable Time Filter` — включение минимального интервала между усиленными сигналами.
* `Min Bars Between Signals` — сколько баров должно пройти между двумя Buy X или двумя CloseV.
**Совет:**
Если усиленных сигналов слишком много — увеличьте `Min Bars Between Signals`.
Если хотите больше активности — уменьшите это значение.
### 3.5. Alerts
* `Buy Alerts / Buy X Alerts / Close Alerts / CloseV Alerts` — выбор типов сигналов для алертов.
* `One Alert Per Bar` — при включении алерты отправляются один раз на бар (рекомендуется для H1–H4).
Алерты формируются через `alert()` с сообщением, включающим тип сигнала, тикер, таймфрейм и текущую цену.
---
## 4. Как использовать White Crow в торговле
### 4.1. Рекомендуемые таймфреймы
* 📌 **Основной фокус: 1–4 часа.**
На этих ТФ:
* структура по пивотам и тренд более стабильны;
* CCI/RSI отражают существенные ценовые колебания;
* кластеры **Buy X / CloseV** лучше отсеивают шум.
На M1–M15 индикатор тоже можно применять, но нужно быть готовым к большему количеству сигналов и чувствительности к микродвижениям.
### 4.2. Пошаговое чтение сигналов
1. **Начните с контекста**
* Посмотрите на **Market Trend / Last Bottom / Last Top** в панели.
* Определите, где находитесь относительно этих уровней: у сопротивления, у поддержки, внутри диапазона и т.п.
2. **Найдите зоны интереса**
* Используйте пивоты и order blocks как потенциальные области спроса/предложения.
* Ждите подхода цены к этим зонам.
3. **Отслеживайте сигналы**
* **Buy** — ранний признак локальной перепроданности.
* **Buy X** — усиленный кластерный сигнал, более значимый, чем одиночный Buy.
* **Close** — ранний сигнал возможного ослабления текущего движения.
* **CloseV** — усиленный кластерный сигнал выхода/разворота.
4. **Практическое применение**
* В *бычьем* тренде:
* фокус на **Buy / Buy X** возле впадин и зон спроса;
* **Close / CloseV** использовать для частичной фиксации и подтягивания стопа.
* В *медвежьем* тренде:
* фокус на **Close / CloseV** возле вершин и зон предложения;
* **Buy / Buy X** — для аккуратных контртрендовых входов с жестким риском.
---
## 5. Важные замечания и дисклеймер
1. **Buy X / CloseV сильнее, но не «волшебные» сигналы.**
Они статистически более значимы, чем одиночные Buy/Close, потому что:
* требуют нескольких подтверждений в кластере;
* фильтруются по времени.
Однако **ложные срабатывания всё равно возможны**, особенно на новостях и в условиях низкой ликвидности.
2. **Оптимальная область применения — старшие ТФ (1–4 часа).**
Здесь Buy X и CloseV обычно отражают реальное изменение баланса спроса/предложения, а не шум.
3. **Это инструмент подтверждения, а не полноценная система.**
Pro Trading White Crow:
* не управляет рисками;
* не считает размер позиции и уровень стоп-лосса;
* не заменяет ваше собственное видение рынка.
Всегда используйте его сигналы **как один из факторов согласованности** вместе со структурой, трендом, price action, объёмом и персональным торговым планом.
4. **Образовательный характер.**
Скрипт и описание предназначены для обучения и анализа графиков.
Они **не являются инвестиционной рекомендацией и не гарантируют прибыль**.
Вы самостоятельно принимаете все торговые решения и несёте полную ответственность за риск.
---
CRTSA Indicator — Market Strength & StructureCRTSA combines market strength, trend, and structure in a single panel.
It identifies key zones, impulses, internal support/resistance levels, and early trend shifts.
Designed for scalping and intraday trading, it provides a clear and direct reading of the market’s true momentum.
Relative Strength Index w/ BandsStandard RSI but with the option to add a shaded zone around the Upper and Lower Bands, based on an offset value.
Value/level of shaded zones need to be modified separately in the Settings from the Upper and Lower Band values.
