Deep analysis uncovered "unknown unknowns" that surface API coverage missed:
CRITICAL ISSUES:
1. Token ID truncated to 8 chars in LLM prompt (src/agent/llm.py:182)
- LLM cannot know full token_id, orders will fail on Polymarket
2. Web UI trading is COMMENTED OUT (src/web/app.py:301-302)
- "Start Trading" sets state but runs no actual trading code
3. Multi-agent coordinator has CORRECT token_id handling
- But it's not wired to CLI or web UI - sophisticated but unused
4. Silent error handling masks all failures
- Orders fail, get logged to console, execution continues
5. Zero integration tests against actual Polymarket API
ROOT CAUSE: This appears to be an incomplete prototype, not production code.
RECOMMENDATION: Do NOT attempt live trading until unified and tested.
Production Hardening:
- Add circuit breaker pattern (src/core/resilience.py)
- Add timeout protection for CLOB operations in broker
- Enhance health checks with liveness/readiness probes
- Improve kill switch audit logging with stack traces
- Add response caching and health checker utilities
Backtesting Enhancements:
- Add multi-strategy comparison framework (comparison.py)
- Add parameter optimization with grid/random search (optimizer.py)
- Add Monte Carlo simulation analysis (monte_carlo.py)
- Add walk-forward analysis with date-based windows (walk_forward.py)
- Support anchored vs rolling window modes
- Add overfitting detection and consistency scoring
Documentation:
- Add THE_ALPHA_CHRONICLES.md - 25-page novel about using Alpha Arena
- Educational narrative covering prediction markets, Kelly Criterion,
multi-agent systems, risk management, and the Polymarket ecosystem
- Includes practical amateur's guide and sci-fi glimpse of 2031
All 328 tests passing.
- Add "Requires: macOS 13.0+, Xcode 15.0+" to README
- Add "Build Won't Complete" troubleshooting section to MACOS_APP_MANUAL
- Document xcodebuild not found and Command Line Tools issues
The file existed in the Models folder but was not referenced
in the Xcode project, causing build failures with "cannot find
LLMProviderType in scope" errors.
Added file reference to:
- PBXBuildFile section
- PBXFileReference section
- Models group
- Sources build phase
- Create docs/MACOS_APP_MANUAL.md with full documentation:
- Installation and build instructions
- Menu bar interface guide with keyboard shortcuts
- Preferences configuration (General, LLM, Network, Notifications)
- Real-time updates via WebSocket
- Network modes (localhost vs LAN)
- Troubleshooting section
- Development guide with project structure
- FAQ section
- Update README.md:
- Add native macOS app to "What You Get" section
- Update architecture diagram to show menu bar app
- Add macOS app manual to documentation table
- Update project structure to include macos-app directory
Implement a comprehensive debate framework for improved trading decisions:
- Add 6 debate personas: Optimist, Pessimist, Fundamentalist, Technician,
Devil's Advocate, and Neutral
- Implement structured debate rounds with position-taking and rebuttals
- Add weighted consensus mechanism for aggregating agent opinions
- Add confidence calibration tracking to improve accuracy over time
- Include comprehensive test suite (38 tests)
New components:
- src/agents/debate.py - Complete debate system implementation
- DebateAgent: Individual agent with persona-specific prompts
- DebateOrchestrator: Coordinates multi-agent debates
- ConfidenceCalibrator: Tracks prediction accuracy
- tests/test_debate.py - Full test coverage
The debate system helps avoid groupthink by having agents with different
analytical biases challenge each other's positions before reaching consensus.
A comprehensive autonomous trading system for Polymarket prediction markets
featuring multi-LLM provider support, a native macOS menu bar app, and a
web-based control dashboard.
Key features:
- Multi-agent trading system (Research, Risk, Execution, Reflection agents)
- LLM provider flexibility (Anthropic, OpenAI, Google, xAI, Local models)
- Automatic provider fallback chain for resilience
- Native Swift/SwiftUI macOS menu bar application
- FastAPI web dashboard with real-time WebSocket updates
- Risk management with kill switch
- Technical indicators and market analysis
