Evolution: Trading Strategy Audit and Rules Optimization#10
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- Performed audit of C# trading strategies in `IntelliTrader.Trading` and `IntelliTrader.Rules`. - Optimized `RulesService.CheckConditions` by caching price and spread, reducing redundant service calls. - Introduced `TrailingSafetyOptions` model for future spread-aware trailing logic. - Added `test_audit.py` to verify C# optimizations and models via static analysis. - Updated `agent_tasks.json` with 8 new evolution and AI trend-based tasks. - Validated task manifest and verified C# project builds.
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This PR implements the
trading-strategy-audittask and evolves IntelliTrader with performance optimizations and new safety models.Key changes:
IntelliTrader.Rules/Services/RulesService.csto cachecurrentPriceandcurrentSpreadbefore the evaluation loop, preventing multiple redundant API calls per condition check.IntelliTrader.Trading/Models/TrailingSafetyOptions.csto support upcoming spread-aware trailing safety features.IntelliTrader.Rules/test_audit.pyto ensure that C# source code maintains the optimized patterns and includes required models.magda_agent_system/agent_tasks.jsonto mark the audit as complete and replenished the queue with 8 new actionable tasks inspired by current trading needs and 2026 AI agent trends (MCP, Online RL, Agent Teams).magda_agent_system/backlog.mdwith the new progress and findings.All Python tests pass, and C# projects build successfully.
PR created automatically by Jules for task 12575827653904114996 started by @mx57