Ai Moving Average Trend
- Utilitários
-
Yevgeniy Koshtenko
Professional and qualified investor and trader operating in Kazakhstan and the Russian Federation.
Active in financial markets since 2016, algorithmic trading since 2019, and machine learning and software development since 2021. - Versão: 1.0
- Ativações: 5
AI Moving Average Trend
Brief Description
An innovative trend indicator utilizing neural network technology for adaptive price movement analysis, perfect for medium and long-term traders working across various timeframes.
Full Description
Operating Principle
The indicator employs a single-layer neural network to analyze price movements and construct an adaptive trend line. The algorithm combines classical moving average with machine learning for precise trend determination.
Calculation Algorithm:
- Price data normalization relative to moving average
- Neural network training on historical data
- Implementation of tanh activation function for trend strength determination
- Adaptive line adjustment relative to current price
- Result smoothing for noise reduction
Customizable Parameters:
- Period (14): Base moving average calculation period
- Number of neuron inputs (5): Neural network input quantity
- Learning rate (0.1): Neural network learning speed
- Training bars (1000): Number of bars for training
- Price deviation (0.01): Price deviation value
Trading Signals:
- Line above price: Potential sell signal
- Line below price: Potential buy signal
- Price-line crossover: Trend change confirmation
Recommended Timeframes:
- H1 and above for medium-term trading
- H4, D1 for long-term trading
Optimal Settings:
- Volatile market: Period = 21, Deviation = 0.015
- Calm market: Period = 14, Deviation = 0.008
- Sideways trend: Period = 7, Deviation = 0.005
Technical Specifications
- Platform version: MetaTrader 5
- Supported timeframes: All
- Supported symbols: All trading instruments
- Minimum history required: 1000 bars
- Recommended resources: 2GB RAM, modern processor
Advantages
- Self-learning algorithm adapting to market changes
- Minimal false signals through neural filtering
- Built-in smoothing for market noise reduction
- Universal application across various instruments and timeframes
Unique Features:
- Automatic volatility adaptation
- Dynamic trend-based adjustment
- Intelligent signal smoothing
Additional Information
Usage Recommendations:
- Use in combination with volume analysis
- Confirm signals with additional indicators
- Consider overall market trend
Risk Warning:
Trading in financial markets carries high risk. The indicator should be used as part of a comprehensive trading system, not as a sole decision-making tool.
Technical Support:
For all inquiries, please contact through private messages on MQL5.community or via the "Comments" tab on the product page.
