Shadow Trader hitting production testing. System runs 60+ self-improving trading strategies with AI agents handling the full loop: research → backtesting → live execution. No human babysitting required.
The architecture is basically autonomous quant desk infrastructure. Agents iterate on strategy parameters, evaluate performance, and adjust positions in real-time.
This is what AI-native trading infrastructure looks like when you remove the human bottleneck from strategy development and execution.
The architecture is basically autonomous quant desk infrastructure. Agents iterate on strategy parameters, evaluate performance, and adjust positions in real-time.
This is what AI-native trading infrastructure looks like when you remove the human bottleneck from strategy development and execution.