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DQN Multi-Forex M15 is a neural network-based trading indicator for MetaTrader 5, designed to analyze market conditions across multiple major currency pairs and display BUY and SELL signals directly on the chart. The indicator uses a Deep Q-Network (DQN) model individually trained on each currency pair with historical data, to evaluate market behavior and automatically select the most suitable strategy. Supported Pairs EURUSD GBPUSD GBPJPY USDJPY Model Logic Each neural model was trained on six
PPO Trading V4 is an automated trading system for MetaTrader 5 designed to analyze the Dow Jones index (US30) and execute trades based on signals generated by a reinforcement learning model. The Expert Advisor combines machine learning techniques with statistical and econometric analysis to evaluate market conditions. Position size is calculated automatically according to account balance and internal risk parameters. Model Logic The trading model is based on Proximal Policy Optimization (PPO), a
DQN Gold XAUUSD is a neural network trading indicator for MetaTrader 5 designed to analyze Gold (XAUUSD) market conditions and display BUY and SELL signals directly on the chart. 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 according to detected market conditions. Model Logic The neural network model was
DQN USDJPY is a neural network trading indicator for MetaTrader 5 designed to analyze USDJPY market conditions and display BUY and SELL signals directly on the chart. 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. Model Logic The neural network model was trained using