Swarming LLM Agents for Real-Time Market in Trading Systems
summary
Cloud-native system is a containerized swarm of domain-specialized LLM agents using Finnbbert and Robeta, Kubernetes autoscaling, Prometheus and a 16-head consensus oracle. It processes about 1,200 documents per second with end-to-end sub 45 millisecond latency, federated training with homomorphic encryption across 47 institutions, and reports ~95% directional accuracy and 21% annualized returns in five-year backtests, claiming reliable early-warning detection and coordinated-manipulation signals.
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chapters (6)
- 0:00Introduction and Overview
- 0:27The Challenge of Financial Data
- 1:03Introducing Self-Adapting Financial Sentiment Oracles
- 1:50Technical Architecture and Agent Swarm
- 3:57Performance and Implementation
- 6:23Future Developments and Conclusion
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