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Neural Network Buy and Sell Signals (No Underwear) - Technical Indicator Introduction
Overview
"Neural Network Buy and Sell Signals" (also known as "No Underwear") is an advanced trading signal indicator based on neural network algorithms, specifically designed for the TradingView platform. This indicator integrates multiple technical analysis tools and machine learning concepts to intelligently identify market buy and sell opportunities, providing quality ratings for each signal.
Core Features
🧠 Neural Network Architecture
Three Hidden Layer Neural Network: Utilizes advanced neural network structure to analyze market data
Multi-Factor Input: Combines five dimensions - AMF indicator, ALMA moving averages, support/resistance, swing structure, and market regime
Intelligent Scoring System: Generates 0-1 confidence scores for each signal
📊 Signal Grading System
The indicator categorizes trading signals into 6 quality grades:
A+ Grade (≥80%) - Highest quality signals
A Grade (76-79%) - Excellent signals
B Grade (65-75%) - Good signals
C Grade (37-64%) - Moderate signals
D Grade (28-36%) - Poor signals
F Grade (<28%) - Lowest quality signals
⚙️ Main Features
1. Intelligent Signal Filtering
Customizable display of signal grades
Adjustable sensitivity (0.1-10.0)
ATR dynamic stop loss mechanism
2. Multi-Timeframe Adaptation
Built-in input data normalization
Z-score standardization technology
Outlier clipping functionality
3. Visual Customization
Three candle type options (Regular, Heikin Ashi, Linear Regression)
Customizable signal label sizes and colors
Option to display by grade colors or uniform colors
🔧 Technical Core
AMF (Adaptive Moving Frequency) Indicator
Combines ZLEMA, DEMA, and Volume Oscillator
Dynamically adjusts calculation periods to adapt to market volatility
Multi-timeframe weight configuration
ALMA Moving Average System
Arnaud Legoux Moving Average
Dual ALMA combination for trend strength analysis
Gap threshold detection
Market Environment Analysis
Support and resistance identification
Swing structure detection
Market regime judgment (Trending/Ranging)
🎯 Usage Recommendations
Target Audience
Medium to short-term traders
Investors requiring quantitative signal confirmation
Users preferring systematic trading strategies
Parameter Adjustment Guide
Beginners: Use default parameters, focus on A+ and A grade signals
Advanced Users: Adjust sensitivity based on market volatility
Professional Traders: Combine with other indicators to validate signal quality
⚡ Performance Characteristics
Real-time calculation, fast response
Maximum 5000-bar lookback
Optimized computational efficiency
📈 Trading Philosophy
This indicator is based on the "quality over quantity" philosophy, using neural networks to filter high-probability trading opportunities, helping traders:
Avoid overtrading
Improve single trade success rate
Establish disciplined trading habits
💡 Important Notes
Recommended to confirm signals with other analysis tools
Different instruments may require parameter adjustments
Use with caution during major economic data releases
Overview
"Neural Network Buy and Sell Signals" (also known as "No Underwear") is an advanced trading signal indicator based on neural network algorithms, specifically designed for the TradingView platform. This indicator integrates multiple technical analysis tools and machine learning concepts to intelligently identify market buy and sell opportunities, providing quality ratings for each signal.
Core Features
🧠 Neural Network Architecture
Three Hidden Layer Neural Network: Utilizes advanced neural network structure to analyze market data
Multi-Factor Input: Combines five dimensions - AMF indicator, ALMA moving averages, support/resistance, swing structure, and market regime
Intelligent Scoring System: Generates 0-1 confidence scores for each signal
📊 Signal Grading System
The indicator categorizes trading signals into 6 quality grades:
A+ Grade (≥80%) - Highest quality signals
A Grade (76-79%) - Excellent signals
B Grade (65-75%) - Good signals
C Grade (37-64%) - Moderate signals
D Grade (28-36%) - Poor signals
F Grade (<28%) - Lowest quality signals
⚙️ Main Features
1. Intelligent Signal Filtering
Customizable display of signal grades
Adjustable sensitivity (0.1-10.0)
ATR dynamic stop loss mechanism
2. Multi-Timeframe Adaptation
Built-in input data normalization
Z-score standardization technology
Outlier clipping functionality
3. Visual Customization
Three candle type options (Regular, Heikin Ashi, Linear Regression)
Customizable signal label sizes and colors
Option to display by grade colors or uniform colors
🔧 Technical Core
AMF (Adaptive Moving Frequency) Indicator
Combines ZLEMA, DEMA, and Volume Oscillator
Dynamically adjusts calculation periods to adapt to market volatility
Multi-timeframe weight configuration
ALMA Moving Average System
Arnaud Legoux Moving Average
Dual ALMA combination for trend strength analysis
Gap threshold detection
Market Environment Analysis
Support and resistance identification
Swing structure detection
Market regime judgment (Trending/Ranging)
🎯 Usage Recommendations
Target Audience
Medium to short-term traders
Investors requiring quantitative signal confirmation
Users preferring systematic trading strategies
Parameter Adjustment Guide
Beginners: Use default parameters, focus on A+ and A grade signals
Advanced Users: Adjust sensitivity based on market volatility
Professional Traders: Combine with other indicators to validate signal quality
⚡ Performance Characteristics
Real-time calculation, fast response
Maximum 5000-bar lookback
Optimized computational efficiency
📈 Trading Philosophy
This indicator is based on the "quality over quantity" philosophy, using neural networks to filter high-probability trading opportunities, helping traders:
Avoid overtrading
Improve single trade success rate
Establish disciplined trading habits
💡 Important Notes
Recommended to confirm signals with other analysis tools
Different instruments may require parameter adjustments
Use with caution during major economic data releases
仅限邀请脚本
只有作者授权的用户才能访问此脚本。您需要申请并获得使用许可。通常情况下，付款后即可获得许可。更多详情，请按照下方作者的说明操作，或直接联系BuchuanneikuYYDS。
TradingView不建议您付费购买或使用任何脚本，除非您完全信任其作者并了解其工作原理。您也可以在我们的社区脚本找到免费的开源替代方案。
作者的说明
V：BuChuangNeiKuxx
免责声明
这些信息和出版物并非旨在提供，也不构成TradingView提供或认可的任何形式的财务、投资、交易或其他类型的建议或推荐。请阅读使用条款了解更多信息。
仅限邀请脚本
只有作者授权的用户才能访问此脚本。您需要申请并获得使用许可。通常情况下，付款后即可获得许可。更多详情，请按照下方作者的说明操作，或直接联系BuchuanneikuYYDS。
TradingView不建议您付费购买或使用任何脚本，除非您完全信任其作者并了解其工作原理。您也可以在我们的社区脚本找到免费的开源替代方案。
作者的说明
V：BuChuangNeiKuxx
免责声明
这些信息和出版物并非旨在提供，也不构成TradingView提供或认可的任何形式的财务、投资、交易或其他类型的建议或推荐。请阅读使用条款了解更多信息。