Range Expansion Signal (RES)Range Expansion Signal (RES)
The Range Expansion Signal (RES) is a lightweight yet effective indicator designed to highlight the internal dynamics of each candle.
🔹 How it works
Calculates the mid-price of each candle (the average between high and low).
Plots a horizontal line at the mid-price level.
Displays the mid-price value as a label on the chart.
Adds a directional marker:
▲ green when the current price is above the mid-price,
▼ red when the current price is below the mid-price.
🔹 How to use it
Quickly assess whether buying or selling pressure dominates within the candle.
Use as a reference in intraday or short-term strategies where range expansion matters.
Ideal for spotting potential breakouts, reversals, or confirming price action setups.
🔹 Why it’s useful
Unlike standard moving averages or static midpoints, RES provides a real-time visual signal directly on each candle. This makes it faster and cleaner to interpret price behavior without cluttering the chart.
تحليل الاتجاه
Daily Levels (Open, Prev High/Low)A clean and lightweight indicator that automatically plots three key intraday levels: the Daily Open, the Previous Day's High (PDH), and the Previous Day's Low (PDL). Essential for identifying potential support, resistance, and daily market bias without cluttering your chart.
Overview
This indicator is designed to be a simple yet powerful tool for intraday traders. It automatically draws three of the most significant price levels that traders watch every day:
The Current Day's Opening Price
The Previous Day's High (PDH)
The Previous Day's Low (PDL)
By having these levels plotted automatically, you can keep your charts clean and focus on your strategy instead of manually drawing lines every new trading session.
Key Features
Dynamic Daily Open Line: This line represents the opening price of the current session. It dynamically changes color to give you an at-a-glance view of the daily sentiment.
Green: Current price is trading above the daily open (Bullish sentiment).
Red: Current price is trading below the daily open (Bearish sentiment).
Gray: Current price is at the open.
Previous Day's High (PDH): A line marking the highest price reached during the prior trading session. This level frequently acts as a key resistance point.
Previous Day's Low (PDL): A line marking the lowest price reached during the prior trading session. This level often serves as a key support area.
How to Use This Indicator
These levels are fundamental to many intraday trading strategies:
Identify Support & Resistance: Use PDH and PDL as natural areas to watch for price reactions. A break above PDH can signal strong bullish momentum, while a break below PDL can indicate strong bearish momentum.
Gauge Market Bias: Trading above the Daily Open is often considered bullish for the day, while trading below it is considered bearish. This can help you filter trades to align with the dominant intraday trend.
Set Entries & Exits: Look for confirmation signals (like candlestick patterns or other indicator signals) when the price interacts with these levels. They can also be logical areas for placing stop-losses or take-profit targets.
Customization
The indicator is fully customizable to fit your charting style:
Toggle the visibility of the Daily Open and the PDH/PDL lines.
Adjust the colors and line widths for each level.
This tool helps you stay focused on the levels that matter most for day trading.
HTF Dealing Range & FibsKey Features:
Premium & Discount Zone Visualization: Clear, color-coded boxes are drawn to represent the Premium (sell zone), Discount (buy zone), and the crucial Equilibrium (50%) level. These boxes extend into the future so you can anticipate future price action.
Customizable Fibonacci Levels: Plot key Fibonacci retracement levels within the defined range. You can customize which levels you want to see (e.g., 0.62, 0.79, etc.) to pinpoint specific points of interest.
Multi-Timeframe Confluence Table: A powerful, on-screen dashboard that shows you the status of the current price relative to the P&D zones on up to 5 different timeframes simultaneously. Instantly see if the price is in a Premium or Discount zone on the 15m, 1H, 4H, and Daily charts at a single glance.
Built-in Alerts: Never miss an opportunity. Set up alerts to be notified the moment the price enters the Premium or Discount zone on your chosen HTF, allowing you to prepare for potential trade setups.
Fully Customizable: Take full control over the indicator's appearance. Adjust pivot lookback periods, colors of the zones and Fibs, and select which timeframes appear in your dashboard to match your personal trading plan.
Disclaimer:
This indicator is provided for educational and informational purposes only and should not be considered as financial or investment advice. Trading and investing in financial markets, including but not limited to stocks, forex, and cryptocurrencies, involves a substantial risk of loss and is not suitable for every investor.
Smart Money Precision Structure [BullByte]Smart Money Precision Structure
Advanced Market Structure Analysis Using Institutional Order Flow Concepts
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OVERVIEW
Smart Money Precision Structure (SMPS) is a comprehensive market analysis indicator that combines six analytical frameworks to identify high-probability market structure patterns. The indicator uses multi-dimensional scoring algorithms to evaluate market conditions through institutional order flow concepts, providing traders with professional-grade market analysis.
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PURPOSE AND ORIGINALITY
Why This Indicator Was Developed
• Addresses the gap between retail and institutional analysis methods
• Consolidates multiple analysis techniques that professionals use separately
• Automates complex market structure evaluation into actionable insights
• Eliminates the need for multiple indicators by providing comprehensive analysis
What Makes SMPS Original
• Six-Layer Confluence System - Unique combination of market regime, structure, volume flow, momentum, price action, and adaptive filtering
• Institutional Pattern Recognition - Identifies smart money accumulation and distribution patterns
• Adaptive Intelligence - Parameters automatically adjust based on detected market conditions
• Real-Time Market Scoring - Proprietary algorithm rates market quality from 0-100%
• Structure Break Detection - Advanced pivot analysis identifies trend reversals early
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HOW IT WORKS - TECHNICAL METHODOLOGY
1. Market Regime Analysis Engine
The indicator evaluates five core market dimensions:
• Volatility Score - Measures current volatility against 50-period historical baseline
• Trend Score - Analyzes alignment between 8, 21, and 50-period EMAs
• Momentum Score - Combines RSI divergence with MACD signal alignment
• Structure Score - Evaluates pivot point formation clarity
• Efficiency Score - Calculates directional movement efficiency ratio
These scores combine to classify markets into five regimes:
• TRENDING - Strong directional movement with aligned indicators
• RANGING - Sideways movement with mixed directional signals
• VOLATILE - Elevated volatility with unpredictable price swings
• QUIET - Low volatility consolidation periods
• TRANSITIONAL - Market shifting between different regimes
2. Market Structure Analysis
Advanced pivot point analysis identifies:
• Higher Highs and Higher Lows for bullish structure
• Lower Highs and Lower Lows for bearish structure
• Structure breaks when established patterns fail
• Dynamic support and resistance from recent pivot points
• Key level proximity detection using ATR-based buffers
3. Volume Flow Decoding
Institutional activity detection through:
• Volume surge identification when volume exceeds 2x average
• Buy versus sell pressure analysis using price-volume correlation
• Flow strength measurement through directional volume consistency
• Divergence detection between volume and price movements
• Institutional threshold alerts when unusual volume patterns emerge
4. Multi-Period Momentum Synthesis
Weighted momentum calculation across four timeframes:
• 1-period momentum weighted at 40%
• 3-period momentum weighted at 30%
• 5-period momentum weighted at 20%
• 8-period momentum weighted at 10%
Result smoothed with 6-period EMA for noise reduction.
5. Price Action Quality Assessment
Each bar evaluated for:
• Range quality relative to 20-period average
• Body-to-range ratio for directional conviction
• Wick analysis for rejection pattern identification
• Pattern recognition including engulfing and hammer formations
• Sequential price movement analysis
6. Adaptive Parameter System
Parameters automatically adjust based on detected regime:
• Trending markets reduce sensitivity and confirmation requirements
• Volatile markets increase filtering and require additional confirmations
• Ranging markets maintain neutral settings
• Transitional markets use moderate adjustments
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COMPLETE SETTINGS GUIDE
Section 1: Core Analysis Settings
Analysis Sensitivity (0.3-2.0)
• Default: 1.0
• Lower values require stronger price movements
• Higher values detect more subtle patterns
• Scalpers use 0.8-1.2, swing traders use 1.5-2.0
Noise Reduction Level (2-7)
• Default: 4
• Controls filtering of false patterns
• Higher values reduce pattern frequency
• Increase in volatile markets
Minimum Move % (0.05-0.50)
• Default: 0.15%
• Sets minimum price movement threshold
• Adjust based on instrument volatility
• Forex: 0.05-0.10%, Stocks: 0.15-0.25%, Crypto: 0.20-0.50%
High Confirmation Mode
• Default: True (Enabled)
• Requires all technical conditions to align
• Reduces frequency but increases reliability
• Disable for more aggressive pattern detection
Section 2: Market Regime Detection
Enable Regime Analysis
• Default: True (Enabled)
• Activates market environment evaluation
• Essential for adaptive features
• Keep enabled for best results
Regime Analysis Period (20-100)
• Default: 50 bars
• Determines regime calculation lookback
• Shorter for responsive, longer for stable
• Scalping: 20-30, Swing: 75-100
Minimum Market Clarity (0.2-0.8)
• Default: 0.4
• Quality threshold for pattern generation
• Higher values require clearer conditions
• Lower for more patterns, higher for quality
Adaptive Parameter Adjustment
• Default: True (Enabled)
• Enables automatic parameter optimization
• Adjusts based on market regime
• Highly recommended to keep enabled
Section 3: Market Structure Analysis
Enable Structure Validation
• Default: True (Enabled)
• Validates patterns against support/resistance
• Confirms trend structure alignment
• Essential for reliability
Structure Analysis Period (15-50)
• Default: 30 bars
• Period for structure pattern analysis
• Affects support/resistance calculation
• Match to your trading timeframe
Minimum Structure Alignment (0.3-0.8)
• Default: 0.5
• Required structure score for valid patterns
• Higher values need stronger structure
• Balance with desired frequency
Section 4: Analysis Configuration
Minimum Strength Level (3-5)
• Default: 4
• Minimum confirmations for pattern display
• 5 = Maximum reliability, 3 = More patterns
• Beginners should use 4-5
Required Technical Confirmations (4-6)
• Default: 5
• Number of aligned technical factors
• Higher = fewer but better patterns
• Works with High Confirmation Mode
Pattern Separation (3-20 bars)
• Default: 8 bars
• Minimum bars between patterns
• Prevents clustering and overtrading
• Increase for cleaner charts
Section 5: Technical Filters
Momentum Validation
• Default: True (Enabled)
• Requires momentum alignment
• Filters counter-trend patterns
• Essential for trend following
Volume Confluence Analysis
• Default: True (Enabled)
• Requires volume confirmation
• Identifies institutional participation
• Critical for reliability
Trend Direction Filter
• Default: True (Enabled)
• Only shows patterns with trend
• Reduces counter-trend signals
• Disable for reversal hunting
Section 6: Volume Flow Analysis
Institutional Activity Threshold (1.2-3.5)
• Default: 2.0
• Multiplier for unusual volume detection
• Lower finds more institutional activity
• Stock: 2.0-2.5, Forex: 1.5-2.0, Crypto: 2.5-3.5
Volume Surge Multiplier (1.8-4.5)
• Default: 2.5
• Defines significant volume increases
• Adjust per instrument characteristics
• Higher for stocks, lower for forex
Volume Flow Period (12-35)
• Default: 18 bars
• Smoothing for volume analysis
• Shorter = responsive, longer = smooth
• Match to timeframe used
Section 7: Analysis Frequency Control
Maximum Analysis Points Per Hour (1-5)
• Default: 3
• Limits pattern frequency
• Prevents overtrading
• Scalpers: 4-5, Swing traders: 1-2
Section 8: Target Level Configuration
Target Calculation Method
• Default: Market Adaptive
• Three modes available:
- Fixed: Uses set point distances
- Dynamic: ATR-based calculations
- Market Adaptive: Structure-based levels
Minimum Target/Risk Ratio (1.0-3.0)
• Default: 1.5
• Minimum acceptable reward vs risk
• Higher filters lower probability setups
• Professional standard: 1.5-2.0
Fixed Mode Settings:
• Fixed Target Distance: 50 points default
• Fixed Invalidation Distance: 30 points default
• Use for consistent instruments
Dynamic Mode Settings:
• Dynamic Target Multiplier: 1.8x ATR default
• Dynamic Invalidation Multiplier: 1.0x ATR default
• Adapts to volatility automatically
Market Adaptive Settings:
• Use Structure Levels: True (default)
• Structure Level Buffer: 0.1% default
• Places levels at actual support/resistance
Section 9: Visual Display Settings
Color Theme Options
• Professional (Teal/Red)
- Bullish: Teal (#26a69a)
- Bearish: Red (#ef5350)
- Neutral: Gray (#78909c)
- Best for: Traditional traders, clean appearance
• Dark (Neon Green/Pink)
- Bullish: Neon Green (#00ff88)
- Bearish: Hot Pink (#ff0044)
- Neutral: Dark Gray (#333333)
- Best for: Dark theme users, high contrast
• Light (Green/Red Classic)
- Bullish: Green (#4caf50)
- Bearish: Red (#f44336)
- Neutral: Light Gray (#9e9e9e)
- Best for: Light backgrounds, traditional colors
• Vibrant (Cyan/Magenta)
- Bullish: Cyan (#00ffff)
- Bearish: Magenta (#ff00ff)
- Neutral: Medium Gray (#888888)
- Best for: High visibility, modern appearance
Dashboard Position
• Options: Top Left, Top Right, Bottom Left, Bottom Right, Middle Left, Middle Right
• Default: Top Right
• Choose based on chart layout preference
Dashboard Size
• Full: Complete information display (desktop)
• Mobile: Compact view for small screens
• Default: Full
Analysis Display Style
• Arrows : Simple directional markers
• Labels : Detailed text information
• Zones : Colored areas showing pattern regions
• Default: Labels (most informative)
Display Options:
• Display Analysis Strength: Shows star rating
• Display Target Levels: Shows target/invalidation lines
• Display Market Regime: Shows regime in pattern labels
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HOW TO USE SMPS - DETAILED GUIDE
Understanding the Dashboard
Top Row - Header
• SMPS Dashboard title
• VALUE column: Current readings
• STATUS column: Condition assessments
Market Regime Row
• Shows: TRENDING, RANGING, VOLATILE, QUIET, or TRANSITIONAL
• Color coding: Green = Favorable, Red = Caution
• Status: FAVORABLE or CAUTION trading conditions
Market Score Row
• Percentage from 0-100%
• Above 60% = Strong conditions
• 40-60% = Moderate conditions
• Below 40% = Weak conditions
Structure Row
• Direction: BULLISH, BEARISH, or NEUTRAL
• Status: INTACT or BREAK
• Orange BREAK indicates structure failure
Volume Flow Row
• Direction: BUYING or SELLING
• Intensity: STRONG or WEAK
• Color indicates dominant pressure
Momentum Row
• Numerical momentum value
• Positive = Upward pressure
• Negative = Downward pressure
Volume Status Row
• INST = Institutional activity detected
• HIGH = Above average volume
• NORM = Normal volume levels
Adaptive Mode Row
• ACTIVE = Parameters adjusting
• STATIC = Fixed parameters
• Shows required confirmations
Analysis Level Row
• Minimum strength level setting
• Pattern separation in bars
Market State Row
• Current analysis: BULLISH, BEARISH, NEUTRAL
• Shows analysis price level when active
T:R Ratio Row
• Current target to risk ratio
• GOOD = Meets minimum requirement
• LOW = Below minimum threshold
Strength Row
• BULL or BEAR dominance
• Numerical strength value 0-100
Price Row
• Current price
• Percentage change
Last Analysis Row
• Previous pattern direction
• Bars since last pattern
Reading Pattern Signals
Bullish Structure Pattern
• Upward triangle or "Bullish Structure" label
• Star rating shows strength (★★★★★ = strongest)
• Green line = potential target level
• Red dashed line = invalidation level
• Appears below price bars
Bearish Structure Pattern
• Downward triangle or "Bearish Structure" label
• Star rating indicates reliability
• Green line = potential target level
• Red dashed line = invalidation level
• Appears above price bars
Pattern Strength Interpretation
• ★★★★★ = 6 confirmations (exceptional)
• ★★★★☆ = 5 confirmations (strong)
• ★★★☆☆ = 4 confirmations (moderate)
• ★★☆☆☆ = 3 confirmations (minimum)
• Below minimum = filtered out
Visual Elements on Chart
Lines and Levels:
• Gray Line = 21 EMA trend reference
• Green Stepline = Dynamic support level
• Red Stepline = Dynamic resistance level
• Green Solid Line = Active target level
• Red Dashed Line = Active invalidation level
Pattern Markers:
• Triangles = Arrow display mode
• Text Labels = Label display mode
• Colored Boxes = Zone display mode
Target Completion Labels:
• "Target" = Price reached target level
• "Invalid" = Pattern invalidated by price
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RECOMMENDED USAGE BY TIMEFRAME
1-Minute Charts (Scalping)
• Sensitivity: 0.8-1.2
• Noise Reduction: 3-4
• Pattern Separation: 3-5 bars
• High Confirmation: Optional
• Best for: Quick intraday moves
5-Minute Charts (Precision Intraday)
• Sensitivity: 1.0 (default)
• Noise Reduction: 4 (default)
• Pattern Separation: 8 bars
• High Confirmation: Enabled
• Best for: Day trading
15-Minute Charts (Short Swing)
• Sensitivity: 1.0-1.5
• Noise Reduction: 4-5
• Pattern Separation: 10-12 bars
• High Confirmation: Enabled
• Best for: Intraday swings
30-Minute to 1-Hour (Position Trading)
• Sensitivity: 1.5-2.0
• Noise Reduction: 5-7
• Pattern Separation: 15-20 bars
• Regime Period: 75-100
• Best for: Multi-day positions
Daily Charts (Swing Trading)
• Sensitivity: 1.8-2.0
• Noise Reduction: 6-7
• Pattern Separation: 20 bars
• All filters enabled
• Best for: Long-term analysis
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MARKET-SPECIFIC SETTINGS
Forex Pairs
• Minimum Move: 0.05-0.10%
• Institutional Threshold: 1.5-2.0
• Volume Surge: 1.8-2.2
• Target Mode: Dynamic or Market Adaptive
Stock Indices (ES, NQ, YM)
• Minimum Move: 0.10-0.15%
• Institutional Threshold: 2.0-2.5
• Volume Surge: 2.5-3.0
• Target Mode: Market Adaptive
Individual Stocks
• Minimum Move: 0.15-0.25%
• Institutional Threshold: 2.0-2.5
• Volume Surge: 2.5-3.5
• Target Mode: Dynamic
Cryptocurrency
• Minimum Move: 0.20-0.50%
• Institutional Threshold: 2.5-3.5
• Volume Surge: 3.0-4.5
• Target Mode: Dynamic
• Increase noise reduction
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PRACTICAL APPLICATION EXAMPLES
Example 1: Strong Trending Market
Dashboard Reading:
• Market Regime: TRENDING
• Market Score: 75%
• Structure: BULLISH, INTACT
• Volume Flow: BUYING, STRONG
• Momentum: +0.45
Interpretation:
• Strong uptrend environment
• Institutional buying present
• Look for bullish patterns as continuation
• Higher probability of success
• Consider using lower sensitivity
Example 2: Range-Bound Conditions
Dashboard Reading:
• Market Regime: RANGING
• Market Score: 35%
• Structure: NEUTRAL
• Volume Flow: SELLING, WEAK
• Momentum: -0.05
Interpretation:
• No clear direction
• Low opportunity environment
• Patterns are less reliable
• Consider waiting for regime change
• Or switch to a range-trading approach
Example 3: Structure Break Alert
Dashboard Reading:
• Previous: BULLISH structure
• Current: Structure BREAK
• Volume: INST flag active
• Momentum: Shifting negative
Interpretation:
• Trend reversal potentially beginning
• Institutional participation detected
• Watch for bearish pattern confirmation
• Adjust bias accordingly
• Increase caution on long positions
Example 4: Volatile Market
Dashboard Reading:
• Market Regime: VOLATILE
• Market Score: 45%
• Adaptive Mode: ACTIVE
• Confirmations: Increased to 6
Interpretation:
• Choppy conditions
• Parameters auto-adjusted
• Fewer but higher quality patterns
• Wider stops may be needed
• Consider reducing position size
Below are a few chart examples of the Smart Money Precision Structure (SMPS) indicator in action.
• Example 1 – Bullish Structure Detection on SOLUSD 5m
• Example 2 – Bearish Structure Detected with Strong Confluence on SOLUSD 5m
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TROUBLESHOOTING GUIDE
No Patterns Appearing
Check these settings:
• High Confirmation Mode may be too restrictive
• Minimum Strength Level may be too high
• Market Clarity threshold may be too high
• Regime filter may be blocking patterns
• Try increasing sensitivity
Too Many Patterns
Adjust these settings:
• Enable High Confirmation Mode
• Increase Minimum Strength Level to 5
• Increase Pattern Separation
• Reduce Sensitivity below 1.0
• Enable all technical filters
Dashboard Shows "CAUTION"
This indicates:
• Market conditions are unfavorable
• Regime is RANGING or QUIET
• Market score is low
• Consider waiting for better conditions
• Or adjust expectations accordingly
Patterns Not Reaching Targets
Consider:
• Market may be choppy
• Volatility may have changed
• Try Dynamic target mode
• Reduce target/risk ratio requirement
• Check if regime is VOLATILE
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ALERTS CONFIGURATION
Alert Message Format
Alerts include:
• Pattern type (Bullish/Bearish)
• Strength rating
• Market regime
• Analysis price level
• Target and invalidation levels
• Strength percentage
• Target/Risk ratio
• Educational disclaimer
Setting Up Alerts
• Click Alert button on TradingView
• Select SMPS indicator
• Choose alert frequency
• Customize message if desired
• Alerts fire on pattern detection
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DATA WINDOW INFORMATION
The Data Window displays:
• Market Regime Score (0-100)
• Market Structure Bias (-1 to +1)
• Bullish Strength (0-100)
• Bearish Strength (0-100)
• Bull Target/Risk Ratio
• Bear Target/Risk Ratio
• Relative Volume
• Momentum Value
• Volume Flow Strength
• Bull Confirmations Count
• Bear Confirmations Count
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BEST PRACTICES AND TIPS
For Beginners
• Start with default settings
• Use High Confirmation Mode
• Focus on TRENDING regime only
• Paper trade first
• Learn one timeframe thoroughly
For Intermediate Users
• Experiment with sensitivity settings
• Try different target modes
• Use multiple timeframes
• Combine with price action analysis
• Track pattern success rate
For Advanced Users
• Customize per instrument
• Create setting templates
• Use regime information for bias
• Combine with other indicators
• Develop systematic rules
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IMPORTANT DISCLAIMERS
• This indicator is for educational and informational purposes only
• Not financial advice or a trading system
• Past performance does not guarantee future results
• Trading involves substantial risk of loss
• Always use appropriate risk management
• Verify patterns with additional analysis
• The author is not a registered investment advisor
• No liability accepted for trading losses
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VERSION NOTES
Version 1.0.0 - Initial Release
• Six-layer confluence system
• Adaptive parameter technology
• Institutional volume detection
• Market regime classification
• Structure break identification
• Real-time dashboard
• Multiple display modes
• Comprehensive settings
## My Final Thoughts
Smart Money Precision Structure represents an advanced approach to market analysis, bringing institutional-grade techniques to retail traders through intelligent automation and multi-dimensional evaluation. By combining six analytical frameworks with adaptive parameter adjustment, SMPS provides comprehensive market intelligence that single indicators cannot achieve.
The indicator serves as an educational tool for understanding how professional traders analyze markets, while providing practical pattern detection for those seeking to improve their technical analysis. Remember that all trading involves risk, and this tool should be used as part of a complete analysis approach, not as a standalone trading system.
- BullByte
Multi-Timeframe Options Strategy with Dynamic Scoring System## Multi-Timeframe Options Strategy with Dynamic Scoring System
### Overview
This indicator combines 12 technical analysis tools using a proprietary 30-point scoring system to generate options trading signals (CALL/PUT). It's designed for traders seeking confluence-based entries with multiple confirmation layers.
### How the Scoring System Works
The indicator evaluates market conditions across three categories:
**Trend Analysis (9 points maximum):**
- EMA Alignment (9, 21, 50, 200): Checks if moving averages are properly stacked (3 points)
- ADX Trend Strength: Confirms trend momentum above 25 threshold (3 points)
- Higher Timeframe Confirmation: Validates signals against larger timeframe trend (3 points)
**Momentum Indicators (7 points maximum):**
- RSI Position & Direction: Optimal zones 40-65 for buys, 35-60 for sells (2 points)
- MACD Signal Line Cross: Momentum confirmation (2 points)
- Stochastic Oscillator: Overbought/oversold conditions (2 points)
- Bollinger Band Position: Price relative to middle band (1 point)
**Market Quality Filters (4 points maximum):**
- Volume Confirmation: 1.5x average volume requirement (2 points)
- VWAP Position: Trend alignment check (1 point)
- ATR Volatility: Ensures adequate price movement (1 point)
### Key Features
**1. Fair Value Gaps (FVG)**
- Identifies price inefficiencies between candles
- Bullish FVG: Current low > high (potential support)
- Bearish FVG: Current high < low (potential resistance)
- Visual representation with colored boxes on chart
**2. Three Operating Modes**
- Normal Mode: Minimum 10 points - balanced signal frequency
- High Mode: Minimum 15 points - fewer but stronger signals
- Ultra Mode: Minimum 20 points - only highest quality setups
**3. Protection Mechanisms**
- Bollinger Band squeeze detection avoids ranging markets
- Prevents conflicting signals (no simultaneous CALL/PUT)
- 5-bar minimum cooldown between signals
- Filters extreme RSI readings (>75 or <25)
**4. Risk Management**
- Three profit targets: 0.5%, 1%, 1.5%
- Stop loss: 0.5% or ATR-based
- Visual target lines with entry/exit levels
### How Components Work Together
The indicator creates a comprehensive market analysis by combining:
- **EMAs** provide the trend structure framework
- **Oscillators** (RSI, Stochastic) identify optimal entry timing
- **ADX** confirms trend strength to filter weak signals
- **Volume** validates institutional participation
- **Higher timeframe** acts as a directional filter
Each component contributes points to either bullish or bearish scoring. Signals only generate when one direction significantly outweighs the other and meets minimum thresholds.
### Usage Instructions
1. **Select Mode**: Choose Normal/High/Ultra based on your trading style
2. **Monitor Dashboard**: Check real-time scoring and market conditions
3. **Wait for Signals**: Main BUY/SELL labels appear when criteria met
4. **Follow Targets**: Use automated TP and SL levels for risk management
5. **Candle Labels**: Optional CALL/PUT labels show building momentum
### Dashboard Information
The dashboard displays:
- Current trend direction and HTF confirmation
- ADX strength and direction
- RSI status with divergence detection
- MACD momentum state
- Volume multiplier
- Market condition (trending/ranging)
- Live scoring for both directions
### Important Notes
- This is a technical analysis tool, not financial advice
- Past performance does not guarantee future results
- Always use proper risk management
- Test thoroughly on demo before live trading
### Originality
This indicator's unique value comes from:
1. The 30-point weighted scoring system that prioritizes different factors
2. Integration of Fair Value Gaps with traditional indicators
3. Multi-mode operation allowing traders to adjust signal frequency
4. Higher timeframe validation system
5. Comprehensive filtering to reduce false signals
The combination creates a systematic approach to options trading that goes beyond simple indicator mashups by providing clear, scored reasoning for each signal.
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### Updates and Support
For questions or suggestions, please comment below. The indicator will be updated based on community feedback while maintaining compliance with all platform rules.
ActivTrades - Crypto Fear & Greed Index - Ion JaureguiActivTrades - Crypto Fear & Greed Index - Ion Jauregui
This indicator measures the overall sentiment of the crypto market by combining key metrics: RSI, volatility, volume, BTC momentum, and altcoin dominance. Each component is normalized and weighted to generate an index from 0 to 100:
0–40 → Fear zone: investors show risk aversion.
40–60 → Neutral zone: market is balanced.
60–100 → Greed zone: investors show euphoria and higher risk appetite.
The indicator allows traders to quickly visualize market conditions and identify potential investment opportunities based on overall sentiment.
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The information provided does not constitute investment research. The material has not been prepared in accordance with the legal requirements designed to promote the independence of investment research and such should be considered a marketing communication.
All information has been prepared by ActivTrades ("AT"). The information does not contain a record of AT's prices, or an offer of or solicitation for a transaction in any financial instrument. No representation or warranty is given as to the accuracy or completeness of this information.
Any material provided does not have regard to the specific investment objective and financial situation of any person who may receive it. Past performance and forecasting are not a synonym of a reliable indicator of future performance. AT provides an execution-only service. Consequently, any person acting on the information provided does so at their own risk. Political risk is unpredictable. Central bank actions can vary. Platform tools do not guarantee success.
INDICATORS RISK ADVICE: The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by ActivTrades. This script intends to help follow the trend and filter out market noise. This script is meant for the use of international users. This script is not meant for the use of Spain users.
The Debasement IndexOVERVIEW
The Debasement Index measures asset prices relative to monetary debasement, providing a currency-neutral view of underlying economic fundamentals. Unlike traditional inflation metrics, it captures the sole impact of money supply expansion on asset valuations across different monetary regimes.
Key Innovation: Divides any asset by the ratio of Broad Money Supply (M2/M3) to Real GDP, reducing the impact of excess money creation on asset prices.
HOW IT WORKS
• Input 1: Select any symbol/asset for analysis (default: close price)
• Region: Choose country/currency for debasement calculation
• Display: Purple line overlay on main chart
Formula: Asset Price ÷ Debasement Index
i.e.
Formula: Asset Price ÷ (Money Supply / Real Output / last result (to rebased the index))
The indicator calculates neutralised security prices for each supported region:
• Numerator: M2/M3 money supply data
• Denominator: Real GDP (inflation-adjusted economic output)
• Number: rebases the index to the last updated value of the selected security
Supported Regions: US, UK etc. (regions may change based on availability)
DATA SOURCES
FRED (Federal Reserve Economic Data), TradingView Economics data feeds
INTERPRETATION
Rising Ratio: Asset outperforming monetary debasement (genuine value creation)
Falling Ratio: Asset underperforming relative to currency dilution (fundamental value loss)
Trend Analysis: Long-term slopes reveal whether assets maintain purchasing power against monetary expansion
The purple line represents the performance of the selected security after filtering out monetary noise, exposing fundamental economic trends that raw prices often obscure.
Take special note that most indices do not provide the total return, and the total return is necessary to understand actual value gains and losses.
APPLICATIONS
• Asset Allocation: Compare real returns across different monetary environments
• Cross-Country Analysis: Evaluate assets in countries with varying monetary policies
• Regime Identification: Spot asset price transitions that raw price measurements might obfuscate
• Value Assessment: Distinguish between monetary-driven and fundamental price movements
THEORETICAL FOUNDATION
Inspired by Anna Schwartz's monetary framework, the index attempts to measure currency dilution and remove that impact on the selected asset prices. It is a systematic attempt to filter out ‘monetary noise’ from financial data. The index addresses limitations of traditional inflation measures by:
1. Using real GDP (not nominal) to avoid circular causation of money creation
2. Capturing asset price effects beyond goods and services
3. Providing regime-aware analysis across monetary systems
LIMITATIONS
• Requires reliable M2/M3 and GDP data (scope and quality vary by country)
• Rebasing factors need periodic adjustment
• Most effective for medium to long-term analysis
• Not suitable for short-term trading signals
Note: This indicator reveals trends rather than providing entry/exit signals. Combining debasement-adjusted indices with comprehensive fundamental analysis can reframe and enhance your insights, providing a more complete understanding of price developments over time.
Adaptive Valuation [BackQuant]Adaptive Valuation
What this is
A composite, zero-centered oscillator that standardizes several classic indicators and blends them into one “valuation” line. It computes RSI, CCI, Demarker, and the Price Zone Oscillator, converts each to a rolling z-score, then forms a weighted average. Optional smoothing, dynamic overbought and oversold bands, and an on-chart table make the inputs and the final score easy to inspect.
How it works
Components
• RSI with its own lookback.
• CCI with its own lookback.
• DM (Demarker) with its own lookback.
• PZO (Price Zone Oscillator) with its own lookback.
Standardization via z-score
Each component is transformed using a rolling z-score over lookback bars:
z = (value − mean) ÷ stdev , where the mean is an EMA and the stdev is rolling.
This puts all inputs on a comparable scale measured in standard deviations.
Weighted blend
The z-scores are combined with user weights w_rsi, w_cci, w_dm, w_pzo to produce a single valuation series. If desired, it is then smoothed with a selected moving average (SMA, EMA, WMA, HMA, RMA, DEMA, TEMA, LINREG, ALMA, T3). ALMA’s sigma input shapes its curve.
Dynamic thresholds (optional)
Two ways to set overbought and oversold:
• Static : fixed levels at ob_thres and os_thres .
• Dynamic : ±k·σ bands, where σ is the rolling standard deviation of the valuation over dynLen .
Bands can be centered at zero or around the valuation’s rolling mean ( centerZero ).
Visualization and UI
• Zero line at 0 with gradient fill that darkens as the valuation moves away from 0.
• Optional plotting of band lines and background highlights when OB or OS is active.
• Optional candle and background coloring driven by the valuation.
• Summary table showing each component’s current z-score, the final score, and a compact status.
How it can be used
• Bias filter : treat crosses above 0 as bullish bias and below 0 as bearish bias.
• Mean-reversion context : look for exhaustion when the valuation enters the OB or OS region, then watch for exits from those regions or a return toward 0.
• Signal confirmation : use the final score to confirm setups from structure or price action.
• Adaptive banding : with dynamic thresholds, OB and OS adjust to prevailing variability rather than relying on fixed lines.
• Component tuning : change weights to emphasize trend (raise DM, reduce RSI/CCI) or range behavior (raise RSI/CCI, reduce DM). PZO can help in swing environments.
Why z-score blending helps
Indicators often live on different scales. Z-scoring places them on a common, unitless axis, so a one-sigma move in RSI has comparable influence to a one-sigma move in CCI. This reduces scale bias and allows transparent weighting. It also facilitates regime-aware thresholds because the dynamic bands scale with recent dispersion.
Inputs to know
• Component lookbacks : rsilb, ccilb, dmlb, pzolb control each raw signal.
• Standardization window : lookback sets the z-score memory. Longer smooths, shorter reacts.
• Weights : w_rsi, w_cci, w_dm, w_pzo determine each component’s influence.
• Smoothing : maType, smoothP, sig govern optional post-blend smoothing.
• Dynamic bands : dyn_thres, dynLen, thres_k, centerZero configure the adaptive OB/OS logic.
• UI : toggle the plot, table, candle coloring, and threshold lines.
Reading the plot
• Above 0 : composite pressure is positive.
• Below 0 : composite pressure is negative.
• OB region : valuation above the chosen OB line. Risk of mean reversion rises and momentum continuation needs evidence.
• OS region : mirror logic on the downside.
• Band exits : leaving OB or OS can serve as a normalization cue.
Strengths
• Normalizes heterogeneous signals into one interpretable series.
• Adjustable component weights to match instrument behavior.
• Dynamic thresholds adapt to changing volatility and drift.
• Transparent diagnostics from the on-chart table.
• Flexible smoothing choices, including ALMA and T3.
Limitations and cautions
• Z-scores assume a reasonably stationary window. Sharp regime shifts can make recent bands unrepresentative.
• Highly correlated components can overweight the same effect. Consider adjusting weights to avoid double counting.
• More smoothing adds lag. Less smoothing adds noise.
• Dynamic bands recalibrate with dynLen ; if set too short, bands may swing excessively. If too long, bands can be slow to adapt.
Practical tuning tips
• Trending symbols: increase w_dm , use a modest smoother like EMA or T3, and use centerZero dynamic bands.
• Choppy symbols: increase w_rsi and w_cci , consider ALMA with a higher sigma , and widen bands with a larger thres_k .
• Multiday swing charts: lengthen lookback and dynLen to stabilize the scale.
• Lower timeframes: shorten component lookbacks slightly and reduce smoothing to keep signals timely.
Alerts
• Enter and exit of Overbought and Oversold, based on the active band choice.
• Bullish and bearish zero crosses.
Use alerts as prompts to review context rather than as stand-alone trade commands.
Final Remarks
We created this to show people a different way of making indicators & trading.
You can process normal indicators in multiple ways to enhance or change the signal, especially with this you can utilise machine learning to optimise the weights, then trade accordingly.
All of the different components were selected to give some sort of signal, its made out of simple components yet is effective. As long as the user calibrates it to their Trading/ investing style you can find good results. Do not use anything standalone, ensure you are backtesting and creating a proper system.
VVIX/VIX Ratio with Interpretation LevelsVVIX/VIX Ratio with Interpretation Levels
This indicator plots the ratio of VVIX (Volatility of Volatility Index) to VIX (CBOE Volatility Index) in a separate panel.
The ratio highlights when the options market is pricing unusually high volatility in volatility (VVIX) relative to the base volatility index (VIX).
Ratio < 5 → Complacency: Markets expect stability; often a pre-shock zone.
5–6 → Tension Building: Traders begin hedging volatility risk while VIX remains low.
6–7 → Elevated Risk: Divergence warns of potential regime change in volatility.
> 7 → High-Risk Zone: Options market pricing aggressive swings; can precede volatility spikes in equities.
The script also includes dashed interpretation lines (5, 6, 7) and automatic labels when key thresholds are crossed.
Background shading helps visualize current regime.
Use cases:
Detect hidden stress when VIX remains calm but VVIX rises.
Anticipate potential volatility regime shifts.
Support risk management and timing of long/short volatility strategies.
Staggered Exponential PullbacksIndicator Description: Staggered Exponential Pullbacks (Final)
Core Concept
This indicator is designed to dynamically track and visualize price pullbacks from a recent high. It serves as an intelligent alert system and a tool for visualizing potential support levels that follow a predefined, non-linear logic.
Instead of a fixed percentage interval, the indicator calculates the levels based on a fixed, exponentially increasing sequence of percentages. The distance between the levels increases as the price falls further. This models a strategy where larger price movements are tolerated as a pullback deepens before the next signal level is reached. The basis for this calculation is always the highest close of the last x candles.
Key Features
This indicator goes far beyond a simple calculation, offering a range of intelligent features for professional use:
Cascading, Fixed Levels: The levels are based on a fixed sequence of percentage distances (3.0%, 3.6%, 4.3%, etc.), where each new level is calculated from the previous level.
Persistent Support Levels ("Floors"): Once an alert level is breached, it transforms into a fixed support line ("floor"). This line will never move down, even if the market high subsequently drops.
Automatic Upward Adjustment: Established floors are automatically pulled upwards when the market shows new strength and makes higher highs. A once-reached -3% floor will therefore rise with the market.
Intelligent, Self-Cleaning Reset Logic: The indicator recognizes when a pullback sequence has ended and a new one has begun. "Ghost lines" from old, irrelevant price movements are automatically removed from the chart to ensure maximum clarity.
Cascade-Proof Alerts: Even during extremely fast sell-offs that break through multiple levels in a single candle, the indicator correctly captures every single level breach.
Customizable Visualization: All key parameters, such as the lookback period and the colors of the lines, can be easily adjusted in the settings.
Visual Elements on the Chart
The Orange Line (Highest Close): This is the reference line. It always shows the highest closing price within the defined lookback period and has a step-line shape.
The 'Floor' Lines (Default: Yellow): These are solid lines that indicate which percentage levels have already been breached in the current sequence. They function as established support levels.
The 'Next Due' Line (Default: Purple): This is a step-line that displays the next expected alert level. It moves dynamically with the calculation. As soon as the price crosses this line, an alert is triggered, and it transforms into a yellow "Floor" line.
Settings (Inputs)
Number of Candles (Lookback): Defines how many past candles are used to determine the highest closing price.
Displayed Alert Levels (Max 10): Determines the maximum number of levels the indicator will calculate and display.
Color of Floors: Allows you to freely choose the color for the solid, established support lines.
Color of Next Due Line: Allows you to freely choose the color for the next, untriggered alert line.
Setting Up Alerts (Important!)
Since the indicator uses dynamic alert messages, the alert must be set up as follows:
Add the indicator to the chart.
Click the clock icon ("Alert") in the top toolbar.
In the "Condition" field, select the name of this indicator: Staggered Exponential Pullbacks.
In the second dropdown menu, you must select the option "Any alert() function call".
Message: The message box can be left empty. The indicator automatically generates a detailed message (e.g., "Price Alert: Level 2 (3.6%) reached!").
Click "Create".
You only need one single alert to cover all 10 levels.
Important Disclaimer: Not Financial Advice
This indicator is purely a technical analysis tool for visualizing price movements. The displayed lines and triggered alerts do not constitute buy or sell recommendations and are not a form of financial or investment advice. They serve for informational and analytical purposes only.
Trading decisions based on the information from this indicator are made solely at your own risk and responsibility. The author and developer of this script assume no liability for any trading losses. Always conduct your own comprehensive analysis and, if necessary, consult a qualified financial advisor before making any trading decisions.
Two-Phase Adaptive System | AlphaNattTwo-Phase Adaptive System (TPAS) - Professional Grade Crypto Allocation Framework
A groundbreaking dual-strategy system that revolutionizes portfolio management through dynamic performance-based strategy selection
═══════ REVOLUTIONARY APPROACH ═══════
This indicator represents an entirely original methodology in systematic trading - a true first-of-its-kind approach that fundamentally reimagines how allocation strategies should operate. Unlike any other system available on TradingView, TPAS employs a proprietary dual-engine architecture that continuously evaluates two independent trading methodologies and dynamically allocates capital based on their relative performance dynamics.
What Makes This Absolutely Unique:
Performance-Based Strategy Selection: Instead of using static rules or market conditions to choose strategies, TPAS analyzes the real-time equity curves of both systems
Dual-Engine Architecture: Two complete trading systems run simultaneously, each with distinct market philosophies and risk profiles
Adaptive Switching Mechanism: Proprietary algorithm that determines optimal transition points between strategies
No comparable system exists that combines performance-relative switching with dual independent strategy engines
THE TWO SYSTEMS
The innovation lies not in the individual strategies, but in the revolutionary framework that allows them to work in concert, automatically selecting the optimal approach for current market dynamics
1. Tactical System (Defensive Core)
Multi-layered market regime analysis
Complex trend indicator synthesis from multiple timeframes
Defensive positioning with strict cash management protocols
Prioritizes capital preservation during uncertain conditions
Incorporates over 20 proprietary market indicators
2. Momentum System (Growth Engine)
Trend-following methodology optimized for sustained moves
Statistical deviation analysis for entry/exit timing
Aggressive positioning during confirmed uptrends
Designed to capture major market movements
Streamlined signal generation for rapid response
DYNAMIC ALLOCATION MECHANISM
The system's crown jewel is its adaptive selection algorithm:
Continuously calculates equity curves for both strategies
Computes performance ratio between systems
Applies proprietary smoothing algorithms to identify regime changes
Automatically switches to the outperforming strategy
Maintains position continuity during transitions
ASSET UNIVERSE & ROTATION
Bitcoin (BTC): The market beta and defensive allocation
Ethereum (ETH): Smart contract ecosystem exposure
Solana (SOL): High-performance blockchain allocation
Cash Position: Strategic capital preservation when conditions deteriorate
The system employs sophisticated relative strength analysis between asset pairs (BTC/ETH, ETH/SOL, BTC/SOL) to determine optimal positioning within each strategy framework.
VISUAL INTELLIGENCE
Dual-layer equity curve with enhanced glow visualization
Real-time system state indicator showing active strategy
Portfolio allocation display with current positions
Comprehensive metrics dashboard (Sharpe, Sortino, Omega, Maximum Drawdown)
Bitcoin buy-and-hold benchmark for performance comparison
Color-coded position indicators for instant visual feedback
RISK MANAGEMENT PHILOSOPHY
The system operates on the principle that avoiding losses is more important than capturing gains . Both engines incorporate independent risk controls, position limits, and systematic cash allocation protocols that activate during adverse conditions.
═══════ CRITICAL DISCLAIMERS ═══════
BACKTEST LIMITATIONS:
Past performance does NOT indicate future results
Historical backtests assume perfect execution without slippage
Real-world trading involves costs, delays, and market impact
Cryptocurrency markets have evolved significantly - past patterns may not repeat
Backtested results often overstate actual achievable returns
System performance during unprecedented market conditions is unknown
Important Operational Notes:
This is a signal indicator only - NOT an automated trading bot
Requires manual trade execution based on generated signals
Designed exclusively for daily timeframe analysis
Signals fire at daily close - not intraday
Best suited for position traders and long-term investors
Not appropriate for leverage trading or short-term speculation
WHO THIS IS FOR
Sophisticated traders seeking systematic crypto exposure
Investors who understand the importance of adaptive strategies
Those who prioritize risk-adjusted returns over raw performance
Users who value transparency and detailed performance metrics
Traders comfortable with daily rebalancing requirements
WHO THIS IS NOT FOR
Day traders or scalpers
Those seeking guaranteed returns
Traders unable to execute daily rebalancing
Anyone expecting fully automated trading
CONFIGURATION PARAMETERS
While the core algorithm is proprietary and fixed, users can adjust:
Backtest start date
Strategy selection sensitivity (advanced users only)
Various display options
ACCESS & SUPPORT
This is an invite-only indicator due to its sophisticated nature and computational requirements. For access requests, please send a private message
Final Note:
This system represents months of research, development, and optimization. It is not a "get rich quick" solution but rather a sophisticated framework for those who understand that successful trading requires patience, discipline, and proper risk management.
---
Version 1.0 | Created by AlphaNatt | All Rights Reserved
Not financial advice
ARMA(Autoregressive Moving Average) Model -DeepALGO-📊 ARMA Model Indicator
This script is a custom indicator based on the ARMA (Autoregressive Moving Average) model, one of the fundamental and widely used models in time series analysis.
While ARMA is typically employed in statistical software, this implementation makes it accessible directly on TradingView, allowing traders to visualize and apply the dynamics of ARMA in financial markets with ease.
🧩 What is the ARMA Model?
The ARMA model explains time series data by combining two components: Autoregression (AR) and Moving Average (MA).
AR (Autoregression) component
Captures the dependence of current values on past values, modeling the inherent autocorrelation of the series.
MA (Moving Average) component
Incorporates past forecast errors (residuals), smoothing out randomness and noise while improving predictive capability.
By combining these two aspects, ARMA models can capture both the underlying structure of the data and the random fluctuations, providing a more robust description of price behavior than simple averages alone.
⚙️ Design of This Script
In classical statistics, ARMA coefficients are estimated using the ACF (Autocorrelation Function) and PACF (Partial Autocorrelation Function). However, this process is often too complex for trading environments.
This script simplifies the approach:
The coefficients theta (θ) and epsilon (ε) are fixed, automatically derived from the chosen AR and MA periods.
This eliminates the need for statistical estimation, making the indicator easy to apply with simple parameter adjustments.
The goal is not academic rigor, but practical usability for traders.
🔧 Configurable Parameters
AR Period (p): Order of the autoregressive part.
MA Period (q): Order of the moving average part. Shorter periods yield faster responsiveness, while longer periods produce smoother outputs.
Offset: Shifts the line forward or backward for easier comparison.
Smoothing Period: Additional smoothing to reduce noise.
Source: Choose from Close, HL2, HLC3, High, or Low.
🎯 Advantages Compared to Traditional Moving Averages
Commonly used moving averages such as SMA (Simple Moving Average) and EMA (Exponential Moving Average) are intuitive but have limitations:
SMA applies equal weights to past data, which makes it slow to respond to new price changes.
EMA emphasizes recent data, providing faster response but often introducing more noise and reducing smoothness.
The ARMA-based approach provides two key advantages:
Balance of Responsiveness and Smoothness
AR terms capture autocorrelation while MA terms correct residuals, resulting in a smoother line that still reacts more quickly than SMA or EMA.
Flexible Adaptation
By adjusting the MA period (q), traders can fine-tune how closely the model follows price fluctuations—ranging from rapid short-term responses to stable long-term trend recognition.
📈 Practical Use Cases
The ARMA indicator can be applied in several practical ways:
Trend Direction Estimation
The slope and position of the ARMA line can provide a straightforward read of bullish or bearish market conditions.
Trend Reversal Identification
Changes in the ARMA line’s direction may signal early signs of a reversal, often with faster reaction compared to traditional moving averages.
Confirmation with Other Indicators
Combine ARMA with oscillators such as RSI or MACD to improve the reliability of signals.
Combination with Heikin-Ashi
Heikin-Ashi candles smooth out price action and highlight trend changes. When used together with ARMA, they can significantly enhance reversal detection. For example, if Heikin-Ashi indicates a potential reversal and the ARMA line simultaneously changes direction, the confluence provides a stronger and more reliable trading signal.
⚠️ Important Notes
Risk of Overfitting
Excessive optimization of AR or MA periods may lead to overfitting, where the indicator fits historical data well but fails to generalize to future market conditions. Keep parameter choices simple and consistent.
Weakness in Sideways Markets
ARMA works best in trending environments. In range-bound conditions, signals may become noisy or less reliable. Consider combining it with range-detection tools or volume analysis.
Not a Standalone System
This indicator should not be used in isolation for trading decisions. It is best employed as part of a broader analysis framework, combining multiple indicators and fundamental insights.
💡 Summary
This script brings the theoretical foundation of ARMA into a practical, chart-based tool for traders.
It is particularly valuable for those who find SMA too lagging or EMA too noisy, offering a more nuanced balance between responsiveness and smoothness.
By capturing both autocorrelation and residual structure, ARMA provides a deeper view of market dynamics.
Combined with tools such as Heikin-Ashi or oscillators, it can significantly enhance trend reversal detection and strategy reliability.
Global Sessions with Trend & Liquidity Features:
-Session ranges with customizable lines & colors
-Opening range markers and optional background shading
-Automatic trend detection per session (Bullish / Bearish / Neutral)
-Indicators when highs/lows are broken
-Clean visual design with toggles for minimal or detailed display
This Pine Script code is designed to help traders visualize and analyze different market sessions. It's a tool that displays the trading hours for the Asian, London, and New York sessions right on the chart.
The main purpose is to show when these key markets are open and to highlight their price ranges. It also includes features to track the trend within each session and to identify "liquidity sweeps" or moments when the price breaks the high or low of a previous session.
In simple terms, it helps a trader see what the market is doing and where the price is likely to go, all based on the major global trading times. It's especially useful for day traders who want to align their strategies with the activity of specific markets.
P.S. Apologies to users not in the EST timezone! This version is hardcoded to Eastern Standard Time, and I'm not currently sure how to automatically adjust it for different timezones. But you can adjust manually and click the dropdown menu to Save As Default.
VWAP Price ChannelVWAP Price Channel cuts the crust off of a traditional price channel (Donchian Channel) by anchoring VWAPs at the highs and lows. By doing this, the flat levels, characteristic of traditional Donchian Channels, are no more!
Author's Note: This indicator is formed with no inherent use, and serves solely as a thought experiment.
> Concept
I would be hesitant to call this a "predictive" indicator, however the behavior of it would suggest it could be considered at least partially predictive
Essentially, the Anchored VWAPs creates something from otherwise nothing.
While the DC upper or lower values are staying flat, the VWAPs improvise based on price and volume to project a level that may be a better representation of where future highs or lows may settle.
Visually, this looks like we have cut off the corners of the Donchian Channel.
Note: Notice how we are calculating values before the corners are realized.
> Implementation
While this is only a concept indicator, The specific application I've gone with for this, is a sort of supertrend-ish display (A Trend Flipping Trailing Stop Loss).
The script uses basic logic to create a trend direction, and then displays the Anchored VWAPs as a form of trailing stop loss.
While "In Trend", the script fills in the area between the VWAP and Price in the direction of trend.
When new highs or lows are made while in trend, the opposite VWAP will start to generate at the new highs or lows. These happen on every new high or low, so they are not indicating the trend shift, but could be interpreted as breakout levels for the current trend direction in order for continuation.
Note: All values are drawn live, but when using higher timeframes, there is a natural calculation discrepancy when using live data vs. historical.
> Technicals
In this script, I'm simply detecting new highs or lows from the DC and using those as the anchor frequency on the built-in VWAP function.
So each time a new high or low is made based on DC, the VWAP function re-anchors to the high or low of the candle.
Past that, I have implemented some logic in order to account for a common occurrence I faced during development.
Frequently, the price would outpace the anchored VWAP, so we would end up with the VWAP being further from price than the actual DC upper or lower.
Due to this, what I have ended up with was a third value which, rather than switching between raw VWAP values and DC values, it adjusts the value based on the change in the VWAP value.
This can be simply thought of as a "Start + Change" type of setup.
By doing this, I can use the change values from the actual anchored VWAP, and under normal conditions, this will also be the true VWAP value.
However, situationally, I am able to update the start value which we're applying the VWAP change to.
In other words, when these situations happen, the VWAP change is added to the new (closer to price) DC value.
The specific trend logic being used is nothing fancy at all, we are simply checking if a new high or low is created and setting the trend in that direction.
This is in line with some traditional DC Strategies.
To those who made it here,
Just remember:
The chart may be ugly, but it's the fastest analysis of the data you can get.
Nicer displays often come at the hidden cost of latency.
You have to shoot your shot to make it.
Choose 2: Fast, Clean, Useful
Enjoy!
SMC - Institutional Confidence Oscillator [PhenLabs]📊 Institutional Confidence Oscillator
Version: PineScript™v6
📌 Description
The Institutional Confidence Oscillator (ICO) revolutionizes market analysis by automatically detecting and evaluating institutional activity at key support and resistance levels using our own in-house detection system. This sophisticated indicator combines volume analysis, volatility measurements, and mathematical confidence algorithms to provide real-time readings of institutional sentiment and zone strength.
Using our advanced thin liquidity detection, the ICO identifies high-volume, narrow-range bars that signal institutional zone formation, then tracks how these zones perform under market pressure. The result is a dual-wave confidence oscillator that shows traders when institutions are actively defending price levels versus when they’re abandoning positions.
The indicator transforms complex institutional behavior patterns into clear, actionable confidence percentiles, helping traders align with smart money movements and avoid common retail trading pitfalls.
🚀 Points of Innovation
Automated thin liquidity zone detection using volume threshold multipliers and zone size filtering
Dual-sided confidence tracking for both support and resistance levels simultaneously
Sigmoid function processing for enhanced mathematical accuracy in confidence calculations
Real-time institutional defense pattern analysis through complete test cycles
Advanced visual smoothing options with multiple algorithmic methods (EMA, SMA, WMA, ALMA)
Integrated momentum indicators and gradient visualization for enhanced signal clarity
🔧 Core Components
Volume Threshold System: Analyzes volume ratios against baseline averages to identify institutional activity spikes
Zone Detection Algorithm: Automatically identifies thin liquidity zones based on customizable volume and size parameters
Confidence Lifecycle Engine: Tracks institutional defense patterns through complete observation windows
Mathematical Processing Core: Uses sigmoid functions to convert raw market data into normalized confidence percentiles
Visual Enhancement Suite: Provides multiple smoothing methods and customizable display options for optimal chart interpretation
🔥 Key Features
Auto-Detection Technology: Automatically scans for institutional zones without manual intervention, saving analysis time
Dual Confidence Tracking: Simultaneously monitors both support and resistance institutional activity for comprehensive market view
Smart Zone Validation: Evaluates zone strength through volume analysis, adverse excursion measurement, and defense success rates
Customizable Parameters: Extensive input options for volume thresholds, observation windows, and visual preferences
Real-Time Updates: Continuously processes market data to provide current institutional confidence readings
Enhanced Visualization: Features gradient fills, momentum indicators, and information panels for clear signal interpretation
🎨 Visualization
Dual Oscillator Lines: Support confidence (cyan) and resistance confidence (red) plotted as percentage values 0-100%
Gradient Fill Areas: Color-coded regions showing confidence dominance and strength levels
Reference Grid Lines: Horizontal markers at 25%, 50%, and 75% levels for easy interpretation
Information Panel: Real-time display of current confidence percentiles with color-coded dominance indicators
Momentum Indicators: Rate of change visualization for confidence trends
Background Highlights: Extreme confidence level alerts when readings exceed 80%
📖 Usage Guidelines
Auto-Detection Settings
Use Auto-Detection
Default: true
Description: Enables automatic thin liquidity zone identification based on volume and size criteria
Volume Threshold Multiplier
Default: 6.0, Range: 1.0+
Description: Controls sensitivity of volume spike detection for zone identification, higher values require more significant volume increases
Volume MA Length
Default: 15, Range: 1+
Description: Period for volume moving average baseline calculation, affects volume spike sensitivity
Max Zone Height %
Default: 0.5%, Range: 0.05%+
Description: Filters out wide price bars, keeping only thin liquidity zones as percentage of current price
Confidence Logic Settings
Test Observation Window
Default: 20 bars, Range: 2+
Description: Number of bars to monitor zone tests for confidence calculation, longer windows provide more stable readings
Clean Break Threshold
Default: 1.5 ATR, Range: 0.1+
Description: ATR multiple required for zone invalidation, higher values make zones more persistent
Visual Settings
Smoothing Method
Default: EMA, Options: SMA/EMA/WMA/ALMA
Description: Algorithm for signal smoothing, EMA responds faster while SMA provides more stability
Smoothing Length
Default: 5, Range: 1-50
Description: Period for smoothing calculation, higher values create smoother lines with more lag
✅ Best Use Cases
Trending market analysis where institutional zones provide reliable support/resistance levels
Breakout confirmation by validating zone strength before position entry
Divergence analysis when confidence shifts between support and resistance levels
Risk management through identification of high-confidence institutional backing
Market structure analysis for understanding institutional sentiment changes
⚠️ Limitations
Performs best in liquid markets with clear institutional participation
May produce false signals during low-volume or holiday trading periods
Requires sufficient price history for accurate confidence calculations
Confidence readings can fluctuate rapidly during high-impact news events
Manual fallback zones may not reflect actual institutional activity
💡 What Makes This Unique
Automated Detection: First Pine Script indicator to automatically identify thin liquidity zones using sophisticated volume analysis
Dual-Sided Analysis: Simultaneously tracks institutional confidence for both support and resistance levels
Mathematical Precision: Uses sigmoid functions for enhanced accuracy in confidence percentage calculations
Real-Time Processing: Continuously evaluates institutional defense patterns as market conditions change
Visual Innovation: Advanced smoothing options and gradient visualization for superior chart clarity
🔬 How It Works
1. Zone Identification Process:
Scans for high-volume bars that exceed the volume threshold multiplier
Filters bars by maximum zone height percentage to identify thin liquidity conditions
Stores qualified zones with proximity threshold filtering for relevance
2. Confidence Calculation Process:
Monitors price interaction with identified zones during observation windows
Measures volume ratios and adverse excursions during zone tests
Applies sigmoid function processing to normalize raw data into confidence percentiles
3. Real-Time Analysis Process:
Continuously updates confidence readings as new market data becomes available
Tracks institutional defense success rates and zone validation patterns
Provides visual and numerical feedback through the oscillator display
💡 Note:
The ICO works best when combined with traditional technical analysis and proper risk management. Higher confidence readings indicate stronger institutional backing but should be confirmed with price action and volume analysis. Consider using multiple timeframes for comprehensive market structure understanding.
Trend detection for stocksThis Pine Script indicator combines exponential moving averages (EMA) with the Average Directional Index (ADX) to identify clear upward and downward trends. The chart colors the background according to the trend and optionally displays buy and sell signals as well as alerts.
Functionality in detail:
The Fast EMA (Standard 21) reacts quickly to price changes.
The Slow EMA (Standard 55) smooths the trend more.
If the Fast EMA is above the Slow EMA and the ADX is above the defined threshold, the background turns green – indicating a clear upward trend.
Conversely, a red background signals a dominant downward trend.
Buy and sell arrows appear at the EMA crossover as soon as the ADX confirms that a trend is intact.
PDH/PDL Breakout—Anchored Ghost Targets + (Truth Table)What this does (integrated purpose—not a mashup):
This tool implements a “prove-it” breakout framework around prior-day levels. It (1) anchors Previous Day High/Low (PDH/PDL) to RTH, (2) reveals anchored ghost targets only after price proves itself beyond PDH/PDL, and (3) confirms direction using a 3-consecutive-closes rule. A compact Truth Table summarizes regime: Control Line, PDH/PDL position, and a microstructure-based composite trend score. Everything is designed to work together to filter fake breaks and provide objective upside/downside targets.
How it works (math/logic in plain English):
Prior-day levels (no repaint):
Pulls High, Low, Close of the previous day and extends PDH/PDL through today’s RTH session. (Daily values are read from the prior bar so signals don’t look ahead.)
Session scoping:
RTH is 09:30–16:00 ET. The script resets at 09:30, pre-creates all lines to the 16:00 session end, and confines triggers to RTH context.
Ghost target packs (original piece):
Compute classic pivot set from prior day:
P = (H+L+C) / 3, R1 = 2P − L, S1 = 2P−H
Create one full range-shift above and below the prior day:
range=H−L.
Add Fib overlays (0.382) around P/R1/S1 to form the pack.
Anchoring rule: packs are shifted so the upper pack never dips below PDH and the lower pack never rises above PDL. This prevents visual crossing with PDH/PDL and keeps targets clean after a confirmed break. Packs stay hidden until price proves itself (see next point).
Directional “prove-it” trigger:
You only get a signal after an actual cross of PDH/PDL followed by N consecutive RTH closes beyond that level (default 3; user input).
• Long: crossover above PDH → then 3 closes > PDH → one-bar pulse + optional alert.
• Short: crossunder below PDL → then 3 closes < PDL → one-bar pulse + optional alert.
After the first qualified trigger each session, bars beyond the level get a subtle Neo candle style so breakouts are visually distinct.
Truth Table (integration, not decoration):
Control Line = a smoothed multi-EMA control band (we expose a single “control line” derived from it),
PDH/PDL position (above, below, or inside),
Composite Trend = non-lag microstructure score combining: close-location value, thrust, wick imbalance, range-expansion direction, and HH/HL vs LL/LH structure (all summed over a short causal window).
Header colors use majority vote across those three rows so you see regime at a glance. This is used to interpret breaks and avoid chasing noise.
How to use it (practical workflow):
On equities during RTH, watch PDH/PDL.
When a break occurs, wait for the 3-close confirmation—that’s your “prove-it” trigger.
Upon trigger, the corresponding ghost pack becomes visible and provides objective intraday targets (pack lines + dashed Fib lines).
Use the Truth Table to sanity-check regime (e.g., bullish majority + PDH break = higher-confidence continuation).
Inputs & alerts:
Consecutive closes required (default 3).
Show Truth Table (on/off).
EMA ribbon/control line (on/off).
Alerts: “Bullish Trigger” and “Bearish Trigger” fire on the one-bar pulses right when confirmation completes.
Notes & limitations:
Designed for stocks using 09:30–16:00 ET. On 24/7 markets (e.g., crypto) RTH logic isn’t applicable.
Prior-day values are fixed from the daily timeframe, so the logic does not repaint.
The “Neo” candle styling is post-trigger only to keep earlier bars clean.
Why this is original/useful:
This is a single, integrated framework: anchored ghost targets (with a non-crossing constraint), prove-it confirmation (3-close rule), and a non-lag composite microstructure score summarized in a Truth Table. The components are purpose-built to work together to reduce false breakouts and supply clean, objective targets after confirmation—this is not a cosmetic mashup.
Educational note: Not financial advice. Test before use.
CAT FLD SmoothWhat is an FLD?
The FLD stands for Future Line of Demarcation, introduced by J.M. Hurst in his Cyclic Analysis work.
It is constructed by shifting the price forward in time by half the length of a given cycle. For example, if you want to analyze a 40-bar cycle, you would plot price shifted forward by 20 bars. This creates a projected line that acts as a dynamic reference for where the cycle rhythm should align.
In practice, each cycle has its own FLD (20, 40, 80 bars, etc.), and when price interacts with those FLDs, it often reveals the underlying rhythm of market waves.
How Traders Use the FLD
1. Cycle Detection
When price crosses its FLD, it is often the signal that a cycle trough or peak has recently formed. This allows the trader to recognize where one wave ends and the next begins.
Upward cross → suggests a new upward cycle has started.
Downward cross → suggests a downward cycle is unfolding.
2. Projection of Price Targets
One of Hurst’s key insights is that after crossing an FLD, price often travels a distance roughly equal to the recent cycle’s amplitude. This makes the FLD a tool not only for timing but also for projecting targets.
Example:
If price rises through the 40-bar FLD after a cycle trough, the expected move is often the same height as the move off the last trough to the point of a break through the FLD.
3. Support and Resistance
FLDs can act like invisible levels of support and resistance, but unlike static horizontal levels, they are dynamic and cycle-based. Price often hesitates, bounces, or accelerates when touching its FLD.
4. Multi-Cycle Confluence
Markets rarely move in just one cycle length. By plotting multiple FLDs (for example, 20-bar, 40-bar, and 80-bar), traders can see where several FLDs line up. These confluences are particularly powerful—they highlight high-probability turning points.
Why FLDs Matter?
They help separate noise from structure by focusing on repeating time rhythms.
They provide early signals of where cycles invert.
They give price targets that are not arbitrary, but cycle-derived.
They can be combined with other tools (trendlines, oscillators, volume) for confirmation.
👉 With this indicator, you can visualize Hurst’s FLDs directly on your TradingView charts, making it easier to detect cycles, project targets, and anticipate turning points before they become obvious to everyone else.
CastAway Trader LLC, the publisher of this indicator is not registered as an investment adviser nor a broker/dealer with either the U. S. Securities & Exchange Commission or any state securities regulatory authority.
CastAway Trader LLC reserves the right to un-publish this indicator or change it without any written notice.
Past results are not indicative of future profits.
Smart Money Trades Pro [BOSWaves]Smart Money Trades Pro – Advanced Market Structure & Liquidity Visualizer
Overview
Smart Money Trades Pro is a comprehensive trading tool designed for traders seeking an in-depth understanding of market structure, liquidity dynamics, and institutional flow. The indicator systematically identifies key market turning points, including break of structure (BOS) and change of character (CHoCH) events, and overlays these with adaptive visualizations to highlight high-probability trade setups. By integrating ATR-based risk zones, progressive take-profit levels, and real-time trade analytics, Smart Money Trades Pro transforms complex price action into an interpretable framework suitable for multiple trading styles, including scalping, intraday, and swing trading.
Unlike traditional static indicators, Smart Money Trades Pro adapts continuously to market conditions. It evaluates swing highs and lows over a configurable lookback period, then determines structural breaks using customizable confirmation methods (candle body or wick). The resulting signals are augmented with dynamic entry, stop-loss, and target levels, allowing traders to analyze potential trade opportunities with both precision and context. The indicator’s design ensures that each visual element—trend-colored candles, signal markers, and risk/reward boxes—reflects real-time market conditions, offering an actionable interpretation of institutional activity.
How It Works
The indicator’s foundation is built upon market structure analysis. By calculating pivot highs and lows over a specified period, Smart Money Trades Pro identifies potential points of liquidity accumulation and exhaustion. When price breaks a pivot high or low, the indicator evaluates whether this constitutes a BOS or a CHoCH, signaling trend continuation or reversal. These events are marked on the chart with distinct visual cues, allowing traders to quickly discern shifts in market sentiment without manually analyzing historical price action.
Once a structural break is confirmed, the indicator automatically determines entry levels, stop-loss placements, and progressive take-profit zones (TP1, TP2, TP3). These calculations are based on ATR-derived volatility, ensuring that targets scale with current market conditions. Risk and reward zones are plotted as shaded boxes, providing a clear visual representation of potential profit relative to risk for each trade setup. This system allows traders to maintain discipline and consistency, with dynamic trade management baked directly into the visualization.
Trend direction is further reinforced by color-coded candles, which reflect the prevailing market bias. Bullish trends are represented by one color, bearish trends by another, and neutral conditions are displayed in muted tones. This continuous visual feedback simplifies the process of trend assessment and helps confirm the validity of trade setups alongside BOS and CHoCH markers.
Signals and Breakouts
Smart Money Trades Pro includes structured visual signals to indicate actionable price movements:
Bullish Break Signals – Triangular markers below the candle appear when a swing high is broken, suggesting potential long opportunities.
Bearish Break Signals – Triangular markers above the candle appear when a swing low is broken, indicating potential short setups.
Change of Character (CHoCH) – Special markers highlight trend reversals, showing where momentum shifts from bullish to bearish or vice versa.
These markers are strategically spaced to prevent overlap and remain clear during high-volatility periods. Traders can use them in combination with trend-colored candles, risk/reward zones, and ATR-based targets to assess the strength and reliability of each setup. The integrated table provides live trade information, including entry price, stop-loss level, take-profit levels, risk/reward ratio, and trade direction, ensuring that trade decisions are informed and data-driven.
Interpretation
Trend Analysis : The indicator’s trend coloring, combined with BOS and CHoCH detection, provides an immediate view of market direction. Rising structures indicate bullish momentum, while falling structures signal bearish momentum. CHoCH markers highlight potential trend reversals or significant liquidity sweeps.
Volatility and Risk Assessment : ATR-based calculations determine stop-loss distances and target levels, giving a quantitative measure of risk relative to market volatility. Wide ATR readings indicate periods of high price fluctuation, whereas narrow readings suggest consolidation and reduced risk exposure.
Market Structure Insights : By monitoring swing highs and lows alongside break confirmations, traders can identify where institutional players are likely active. Areas with multiple structural breaks or overlapping targets can indicate liquidity hotspots, potential reversal zones, or areas of market congestion.
Trade Management : The built-in trade zones allow traders to visualize entry, risk, and reward simultaneously. Progressive targets (TP1, TP2, TP3) reflect incremental profit-taking strategies, while dynamic stop-loss levels help preserve capital during adverse moves.
Strategy Integration
Smart Money Trades Pro supports a range of trading approaches:
Trend Following : Enter trades in the direction of confirmed BOS while using CHoCH markers and trend-colored candles to validate momentum.
Pullback Entries : Use failed breakout retests or minor reversals toward broken structure levels for lower-risk entries.
Mean Reversion : In consolidated zones with narrow ATR and repeated BOS/CHoCH activity, anticipate reversals or short-term corrective moves.
Multi-Timeframe Confirmation : Overlay signals on higher or lower timeframes to filter noise and improve trade accuracy.
Stop-loss levels should be placed just beyond the opposing structural point, while take-profit targets can be scaled using the ATR-based zones. Progressive targets allow for partial exits or scaling out of trades while maintaining exposure to larger moves.
Advanced Techniques
Traders seeking greater precision can combine Smart Money Trades Pro with volume, momentum, or volatility indicators to validate signals. Observing sequences of BOS and CHoCH markers across multiple timeframes provides insight into liquidity accumulation and depletion trends. Tracking the expansion or contraction of ATR-based zones helps anticipate shifts in volatility, enabling better timing for entries and exits.
Customizing the structure period and confirmation type allows the indicator to adapt to different asset classes and timeframes. Shorter periods increase sensitivity to smaller swings, while longer periods filter noise and emphasize higher-probability structural breaks. By integrating these features, the indicator offers a robust statistical framework for disciplined, data-driven trading decisions.
Inputs and Customization
Structure Detection Period : Defines the lookback window for pivot high and low calculation.
Break Confirmation : Choose whether to confirm breaks using candle body or wick.
Display CHoCH : Toggle visibility of change-of-character markers.
Color Trend Bars : Enable color-coding of candles based on market structure direction.
Show Info Table : Display trade dashboard showing entry, stop-loss, take-profits, risk/reward, and bias.
Table Position : Choose from top-left, top-right, bottom-left, or bottom-right placement.
Color Customization : Configure bullish, bearish, neutral, risk, reward, and text colors for enhanced visual clarity.
Why Use Smart Money Trades Pro
Smart Money Trades Pro transforms complex market behavior into an actionable visual framework. By combining market structure analysis, liquidity tracking, ATR-based risk/reward mapping, and a dynamic trade dashboard, it provides a multidimensional view of the market. Traders can focus on execution, interpret trends, and evaluate overextensions or reversals without relying on guesswork. The indicator is suitable for scalping, intraday, and swing strategies, offering a comprehensive system for understanding and trading alongside institutional participants.
ICT OTE (Optimal Trade Entry) IndicatorWhat This Indicator Does:
This is an ultra-clean ICT (Inner Circle Trader) indicator that shows only ONE high-probability signal at a time when multiple confluences perfectly align. It eliminates chart clutter and focuses on the absolute best trading opportunities.
How It Takes Positions:
🔍 Signal Requirements (ALL Must Align):
Market Structure Break - Significant swing high/low break with volume confirmation
Fair Value Gap (FVG) - Large price imbalance/gap (minimum 0.5% size)
Order Block - Institutional supply/demand zone from recent rejection candle
OTE Sweet Spot - Price retraces to 70.5% Fibonacci level (optimal entry zone)
Volume Confirmation - 50% above 50-bar average volume
Rejection Candle - Proper candle formation showing rejection at the level
📊 Position Entry Logic:
BUY Signal Triggers When:
Price breaks above a significant swing high (bullish structure break)
Price retraces back down into a Fair Value Gap or Order Block
Retracement reaches exactly the 70.5% optimal level
Volume spike confirms institutional interest
Rejection candle forms (closes higher than it opened during retracement)
No other signal has been active in the last 50 bars (cooldown system)
SELL Signal Triggers When:
Price breaks below a significant swing low (bearish structure break)
Price retraces back up into a Fair Value Gap or Order Block
Retracement reaches exactly the 70.5% optimal level
Volume spike confirms institutional interest
Rejection candle forms (closes lower than it opened during retracement)
No other signal has been active in the last 50 bars (cooldown system)
⚡ Key Features:
Ultra-Strict Filtering: Only 2-4 signals per month on average (quality over quantity)
One Signal Rule: Only one active signal at a time - no confusion
50-Bar Cooldown: Prevents signal spam and overtrading
Perfect Confluence: Requires 3+ ICT concepts to align simultaneously
Clean Chart: No boxes, lines, or visual clutter - just clear BUY/SELL labels
🎯 Trading Strategy:
Wait for Signal: Large BUY or SELL label appears on chart
Entry: Enter immediately when signal appears (all confluences already confirmed)
Stop Loss: Place beyond the Fair Value Gap or Order Block (typically 1-2% risk)
Take Profit: Target previous swing high/low or major liquidity levels
Risk Management: Only trade when signal appears - no guessing or early entries
💡 Why It Works:
This indicator combines ICT's most powerful concepts (market structure, FVGs, order blocks, optimal retracements) into one confluence-based system. It only signals when institutional money is likely moving, giving you the highest probability entries with minimal noise.
Perfect for: Swing traders, day traders, and anyone wanting clean, high-probability ICT signals without chart clutter.
MTF Adaptive Trendline Scalper (ATR + EMA System) By GouravThe MTF Adaptive Trendline Scalper is a precision-built trading tool designed for intraday scalpers and swing traders.
🔹 Core Features:
Adaptive Trendline Engine: Dynamically shifts trendline support/resistance using volatility (ATR) and Bollinger-band extremes.
Multi-Timeframe Mode: Calculate signals on your chosen higher timeframe or sync with the chart resolution.
Automatic Buy/Sell Signals: Clear trend reversal markers (💣 Buy / 🔨 Sell) for fast execution.
Volatility Filtering: ATR-based buffer reduces noise in choppy conditions.
Extra EMA Overlay: Plots 9 / 15 / 50 / 200 EMAs to help confirm trend bias and momentum.
🔹 How It Helps You Trade:
Catch scalping entries with trendline flips.
Trade trend-following continuations using EMA alignment.
Spot reversals when price pierces the adaptive channel.
Works on all assets (Forex, Crypto, Stocks, Indices) and any timeframe.
⚠️ Note: This is not financial advice. Always combine with your own risk management and strategy.
Moving Average Adaptive RSI [BackQuant]Moving Average Adaptive RSI
What this is
A momentum oscillator that reshapes classic RSI into a zero-centered column plot and makes it adaptive. It builds RSI from two parts:
• A sensitivity window that scans several recent bars to capture the strongest up and down impulses.
• A selectable moving average that smooths those impulses before computing RSI.
The output ranges roughly from −100 to +100 with 0 as the midline, with optional extra smoothing and built-in divergence detection.
How it works
Impulse extraction
• For each bar the script inspects the last rsi_sen bars and collects upward and downward price changes versus the current price.
• It keeps the maximum upward change and maximum downward change from that window, emphasizing true bursts over single-bar noise.
MA-based averaging
• The up and down impulse series are averaged with your chosen MA over rsi_len bars.
• Supported MA types: SMA, EMA, DEMA, WMA, HMA, SMMA (RMA), TEMA.
Zero-centered RSI transform
• RS = UpMA ÷ DownMA, then mapped to a symmetric scale: 100 − 200 ÷ (1 + RS) .
• Above 0 implies positive momentum bias. Below 0 implies negative momentum bias.
Optional extra smoothing
• A second smoothing pass can be applied to the final oscillator using smoothing_len and smooth_type . Toggle with “Use Extra Smoothing”.
Visual encoding
• The oscillator is drawn as columns around the zero line with a gradient that intensifies toward extremes.
• Static bands mark 80 to 100 and −80 to −100 for extreme conditions.
Key inputs and what they change
• Price Source : input series for momentum.
• Calculation Period (rsi_len) : primary averaging window on up and down components. Higher = smoother, slower.
• Sensitivity (rsi_sen) : how many recent bars are scanned to find max impulses. Higher = more responsive to bursts.
• Calculation Type (ma_type) : MA family that shapes the core behavior. HMA or DEMA is faster, SMA or SMMA is slower.
• Smoothing Type and Length : optional second pass to calm noise on the final output.
• UI toggles : show or hide the oscillator, candle painting, and extreme bands.
Reading the oscillator
• Midline cross up (0) : momentum bias turning positive.
• Midline cross down (0) : momentum bias turning negative.
• Positive territory :
– 0 to 40: constructive but not stretched.
– 40 to 80: strong momentum, continuation more likely.
– Above 80: extreme risk of mean reversion grows.
• Negative territory : mirror the same levels for the downside.
Divergence detection
The script plots four divergence types using pivot highs and lows on both price and the oscillator. Lookbacks are set by lbL and lbR .
• Regular bullish : price lower low, oscillator higher low. Possible downside exhaustion.
• Hidden bullish : price higher low, oscillator lower low. Bias to trend continuation up.
• Regular bearish : price higher high, oscillator lower high. Possible upside exhaustion.
• Hidden bearish : price lower high, oscillator higher high. Bias to trend continuation down.
Labels: ℝ for regular, ℍ for hidden. Green for bullish, red for bearish.
Candle coloring
• Optional bar painting: green when the oscillator is above 0, red when below 0. This is for visual scanning only.
Strengths
• Adaptive sensitivity via a rolling impulse window that responds to genuine bursts.
• Configurable MA core so you can match responsiveness to the instrument.
• Zero-centered scale for simple regime reads with 0 as a clear bias line.
• Built-in regular and hidden divergence mapping.
• Flexible across symbols and timeframes once tuned.
Limitations and cautions
• Trends can remain extended. Treat extremes as context rather than automatic reversal signals.
• Divergence quality depends on pivot lookbacks. Short lookbacks give more signals with more noise. Long lookbacks reduce noise but add lag.
• Double smoothing can delay zero-line transitions. Balance smoothness and timeliness.
Practical usage ideas
• Regime filter : only take long setups from your separate method when the oscillator is above 0, shorts when below 0.
• Pullback confirmation : in uptrends, look for dips that hold above 0 or turn up from 0 to 40. Reverse for downtrends.
• Divergence as a heads-up : wait for a zero-line cross or a price trigger before acting on divergence.
• Sensitivity tuning : start with rsi_sen 2 to 5 on faster timeframes, increase slightly on slower charts.
Alerts
• MA-A RSI Long : oscillator crosses above 0.
• MA-A RSI Short : oscillator crosses below 0.
Use these as bias or timing aids, not standalone trade commands.
Settings quick reference
• Calculation : Price Source, Calculation Type, Calculation Period, Sensitivity.
• Smoothing : Smoothing Type, Smoothing Length, Use Extra Smoothing.
• UI : Show Oscillator, Paint Candles, Show Static High and Low Levels.
• Divergences : Pivot Lookback Left and Right, Div Signal Length, Show Detected Divergences.
Final thoughts
This tool reframes RSI by extracting strong short-term impulses and averaging them with a moving-average model of your choice, then presenting a zero-centered output for clear regime reads. Pair it with your structure, risk and execution process, and tune sensitivity and smoothing to the market you trade.
Chanlun MACD中国股票期货类比较常用的macd版本，比系统自带的参考性强这边做个适配
The more commonly used MACD version for Chinese stock and futures markets is more referenceable than the one built into the system, and an adaptation is made here.
