TorchTrade
Explained projects
torchtrade.io: TorchTrade and the End of the Backtest Rewrite
How a PyTorch framework uses strict tensor contracts and specialized LLM context files to bridge the gap between reinforcement learning research and live algorithmic trading.
Closing the Sim-to-Real Gap: Inside TorchTrade
How a PyTorch-native framework uses TensorDicts and foundation models to deploy reinforcement learning agents directly from backtesting to live exchanges.