Neural Trend Predictor
Neural Trend Predictor uses Long Short-Term Memory (LSTM) neural networks to identify complex patterns in price data that precede significant price moves. Trained on over 9 years of historical data across multiple market regimes, the model continuously learns and adapts to changing market conditions through periodic retraining.
Strategy Overview
Strategy Parameters
Technical and on-chain metrics
Minimum prediction confidence for trade
Model update frequency
Number of models in voting ensemble
Entry Signals
Advantages
- Captures complex nonlinear patterns
- Adapts to changing market dynamics
- Removes emotional decision making
- Can process massive data inputs
Risks to Consider
- Black-box decision making
- Overfitting to historical patterns
- Regime changes can reduce accuracy
- Longer timeframes mean less signals
Important Risk Information
Past performance does not guarantee future results. All trading strategies involve risk, and you may lose some or all of your invested capital. The win rates and Sharpe ratios shown are based on backtesting from 2015-2024 and may not reflect future performance. Always use proper position sizing and risk management.