feat: Architect trading agents for low-latency with Spec-Driven Devel… #12
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…opment
This commit introduces a major architectural overhaul of the AI trading agent system to align with a low-latency, Spec-Driven Development methodology. The changes are designed to improve performance, specialize agent roles, and establish a foundation for high-frequency trading capabilities.
Key changes include:
- **New Directory Structure:** Introduced `spec/` for constitution and specifications, and `src/spec_driven_agents/` for the new modular agent architecture.
- **Specialized Agents:**
- Created a `DecisionAgent` to replace the monolithic `TradingAgent`.
- Split the `Technical Analyst` into an `IndicatorAgent` and `PatternAgent`.
- Added a `LOBAgent` for limit order book analysis and a placeholder `DRLAgent`.
- **Real-Time Data:** Implemented a `TickCollector` to stream tick-by-tick data via WebSocket.
- **Orchestration:** Developed a new main orchestrator, `spec_driven_main.py`, to integrate and run the new agent system.
- **Asynchronous Communication:** Added an `AsyncSwarmAgent` to enable faster, non-blocking consensus.
- **Testing and Dependencies:** Resolved dependency conflicts in `requirements.txt` and added a new test file for the `IndicatorAgent`.
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@google-labs-jules[bot] is attempting to deploy a commit to the md777 Team on Vercel. A member of the Team first needs to authorize it. |
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why not full kafka EDA ? |
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…opment
This commit introduces a major architectural overhaul of the AI trading agent system to align with a low-latency, Spec-Driven Development methodology. The changes are designed to improve performance, specialize agent roles, and establish a foundation for high-frequency trading capabilities.
Key changes include:
spec/for constitution and specifications, andsrc/spec_driven_agents/for the new modular agent architecture.DecisionAgentto replace the monolithicTradingAgent.Technical Analystinto anIndicatorAgentandPatternAgent.LOBAgentfor limit order book analysis and a placeholderDRLAgent.TickCollectorto stream tick-by-tick data via WebSocket.spec_driven_main.py, to integrate and run the new agent system.AsyncSwarmAgentto enable faster, non-blocking consensus.requirements.txtand added a new test file for theIndicatorAgent.