RLTrader provides a Gym-compatible environment for training reinforcement learning agents to trade cryptocurrencies. The project implements deep Q-learning and related RL algorithms to create autonomous trading bots that learn to make buy/sell decisions from market data. It serves as the predecessor to the more comprehensive TensorTrade framework and includes visualization tools for live trading performance.