torchtrade
Unverified ML strategy on Crypto by TorchTrade. BotFinder score 18 out of 100.
Modular reinforcement learning framework for algorithmic trading
Source: github
BotFinder analysis pending.
torchtrade
TorchTrade A machine learning framework for algorithmic trading built on TorchRL. TorchTrade's goal is to provide accessible deployment of RL methods to trading. The framework supports various RL methodologies including online RL, offline RL, model-based RL, contrastive learning, and many more areas of reinforcement learning research. Beyond RL, TorchTrade integrates traditional trading methods such as rule-based strategies, as well as modern approaches including LLMs (both local models and frontier model integrations) as trading actors. TorchTrade provides modular environments for both live trading with major exchanges and offline backtesting. The framework supports: - 🎯 Multi-Timeframe Observations - Train on 1m, 5m, 15m, 1h bars simultaneously - 🤖 Multiple RL Algorithms - PPO, DQN, IQL, GRPO, DSAC, CTRL implementations - 📊 Feature Engineering - Add technical indicators and custom features - 🔴 Live Trading - Direct Alpaca, Binance, Bitget, Bybit, and OKX integrations (Polymarket is paper-only) - 💼 Portfolio Management - Multi-asset allocation across N assets and cash with the offli
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Alerts on changes: coming soon
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Open-source maintainer on GitHub.
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