jihoson/The-Ouroboros
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4 Commits

Author SHA1 Message Date
agentson
254b543c89 Merge main into feature/issue-15-context-tree
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Resolved conflicts in CLAUDE.md by:
- Keeping main's refactored structure (docs split into separate files)
- Added Context Tree documentation link to docs section
- Preserved all constraints and guidelines from main

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
 2026-02-04 15:25:13 +09:00
agentson
917b68eb81 feat: implement L1-L7 context tree for multi-layered memory management
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Implements Pillar 2 (Multi-layered Context Management) with a 7-tier
hierarchical memory system from real-time market data to generational
trading wisdom.

## New Modules
- `src/context/layer.py`: ContextLayer enum and metadata config
- `src/context/store.py`: ContextStore for CRUD operations
- `src/context/aggregator.py`: Bottom-up aggregation (L7→L6→...→L1)

## Database Changes
- Added `contexts` table for hierarchical data storage
- Added `context_metadata` table for layer configuration
- Indexed by layer, timeframe, and updated_at for fast queries

## Context Layers
- L1 (Legacy): Cumulative wisdom (kept forever)
- L2 (Annual): Yearly metrics (10 years retention)
- L3 (Quarterly): Strategy pivots (3 years)
- L4 (Monthly): Portfolio rebalancing (2 years)
- L5 (Weekly): Stock selection (1 year)
- L6 (Daily): Trade logs (90 days)
- L7 (Real-time): Live market data (7 days)

## Tests
- 18 new tests in `tests/test_context.py`
- 100% coverage on context modules
- All 72 tests passing (54 existing + 18 new)

## Documentation
- Added `docs/context-tree.md` with comprehensive guide
- Updated `CLAUDE.md` architecture section
- Includes usage examples and best practices

Closes #15

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
 2026-02-04 14:12:29 +09:00
agentson
05e8986ff5 refactor: split CLAUDE.md into focused documentation structure
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- Restructure docs into topic-specific files to minimize context
- Create docs/workflow.md (Git + Agent workflow)
- Create docs/commands.md (Common failures + build commands)
- Create docs/architecture.md (System design + data flow)
- Create docs/testing.md (Test structure + guidelines)
- Rewrite CLAUDE.md as concise hub with links to detailed docs
- Update .gitignore to exclude data/ directory

Benefits:
- Reduced context size for AI assistants
- Faster reference lookups
- Better maintainability
- Topic-focused documentation

Closes #13

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
 2026-02-04 10:13:48 +09:00
Jiho Son
d1750af80f Add complete Ouroboros trading system with TDD test suite
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Implement the full autonomous trading agent architecture:
- KIS broker with async API, token refresh, leaky bucket rate limiter, and hash key signing
- Gemini-powered decision engine with JSON parsing and confidence threshold enforcement
- Risk manager with circuit breaker (-3% P&L) and fat finger protection (30% cap)
- Evolution engine for self-improving strategy generation via failure analysis
- 35 passing tests written TDD-first covering risk, broker, and brain modules
- CI/CD pipeline, Docker multi-stage build, and AI agent context docs

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-02-04 02:08:48 +09:00