Advanced Buy Sell System Deep Q Network Powered

The indicator evaluates market behaviour using a Deep Q-Network (DQN) reinforcement learning model trained on historical price data.
The system analyzes the current market structure and automatically selects the most appropriate strategy depending on detected market conditions.

The neural network model was trained using six strategy profiles representing different market behaviours:

Momentum strategy
Trend strategy
Multi-RSI strategy
Breakout strategy
Mean-reversion strategy
No-signal state when market conditions are not suitable

The indicator automatically determines which strategy best matches the current market environment.

Feature extraction
Market data is processed using multiple technical indicators describing volatility, momentum and trend behaviour.

Market evaluation
The DQN model evaluates the current market structure using the extracted features.

Strategy selection
The algorithm compares the detected market conditions with the learned strategy profiles.

Signal generation
Based on the selected strategy, the indicator may display BUY or SELL signals directly on the chart.

Signals are confirmed only after candle close.

Deep Q-Network neural network model
Six trained strategy profiles
Automatic strategy selection based on market conditions
Multiple technical indicators used as input features
BUY and SELL arrows displayed on the chart
Signals confirmed after candle close
No repaint behaviour after signal confirmation

Symbol: USDJPY
Timeframe: H4

The indicator was designed primarily for this symbol and timeframe.

Other Versions Available

Optimized versions of this indicator for other pairs and timeframes (EURUSD, GBPUSD, GBPJPY, USDJPY M15), as well as the corresponding Expert Advisors, are available on my MQL5 profile.

Trading financial markets involves risk. This indicator is intended as an analytical tool to support trading decisions.