RL Trading Robot

Open source trading system exploring reinforcement learning for markets: - Built RL agent using reward-action-correction (RAC) framework - Implemented trading environment with realistic simulation (slippage, commissions, liquidity) - Designed state representation: price patterns, technical indicators (RSI, MACD), volume - Created reward function balancing returns, Sharpe ratio, and drawdown constraints - Integrated market data feeds and backtesting engine - Developed position sizing, risk limits, and portfolio management - Built visualization dashboard for performance tracking **Important**: Backtesting performance doesn't guarantee live trading results. Focus is on learning RL techniques and risk management, not making trading recommendations. Active community with 76 stars, 15 forks. Includes comprehensive backtesting framework and paper trading mode.