A research project for trading Bitcoin futures: it reads the market moment by moment and proposes trades with a calculated stop-loss and take-profit. We test it first on years of past data, then on a test network — before it comes near any real money.
It runs on a reinforcement-learning agent that retrains itself, and no model is adopted before its performance is measured. This is not financial advice or a promise of profit — it is a project that shows how we build a system that learns, measure how it performs, and protect it from its own mistakes.
