rl-trading-binance
Unverified ML strategy on Crypto by YuriyKolesnikov. BotFinder score 18 out of 100.
Reinforcement Learning Agent for Binance Futures — realistic backtesting, CNN + D3QN + PER, and reproducible training pipeline.
Source: github
BotFinder analysis pending.
rl-trading-binance
🧠 Open RL Trading Agent for Binance Futures A high-performance, research-grade reinforcement learning system for intraday trading on Binance Futures. Built using Dueling Double Deep Q-Networks (D3QN) and Prioritized Experience Replay (PER), this framework supports realistic backtesting, robust benchmarking, and scalable experimentation. ⚠️ Note: This release runs in demo mode with a lightweight ~256K-parameter model, short 10-minute sessions, and 30-minute input context — optimized for fast execution, CPU-only training, and interpretable visualizations. The full architecture (60-min sessions, 90-min context, 1M+ parameters) is still dormant. This project lays the foundation for a scalable, production-grade trading AI. --- 📌 Overview 📖 Read the full technical article (English): RL Agent for Algorithmic Trading on Binance Futures — Architecture, Backtest, and Results 📖 Article (Russian): RL-агент для алгоритмической торговли на Binance Futures: архитектура, бэктест, результаты This repository includes: ✅ A modular RL pipeline for market simulation and policy learning ✅ A custom Gym-com
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