The project implements a Duel Deep Q Network agent using keras-rl for cryptocurrency trading. It provides a custom OpenAI Gym-compatible trading environment where the agent learns to take actions (buy, sell, hold) to maximize profit from OHLCV candle data. The agent learns long-term trading strategies through sparse rewards granted when positions are closed or episodes end, with configurable window sizes and transaction fees.