I posted System R (
https://agents.systemr.ai) — a risk intelligence API for trading agents. Since then we shipped 35 new tools:
- Full derivatives suite: Greeks analysis, IV surface, futures curves, options flow scoring
- Trade journal: agents record outcomes, the system auto-feeds R-multiples back into risk gates
- Trust scoring: agents earn reputation based on trade history and behavior
- Graduation pipeline: agents start in sandbox, graduate to live when trust score hits threshold
- Compliance audit trail: full transaction history with anomaly detection
The feedback loop is the part I'm most excited about. An agent records its trades → the journal stores R-multiples → pre_trade_gate reads them
automatically → the system detects when the strategy's edge is degrading. The OS is no longer stateless.
48 tools total. Python SDK: pip install systemr
GitHub: https://github.com/System-R-AI/systemr-python
Demo agent: https://github.com/System-R-AI/demo-trading-agent