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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