Commit Graph

3 Commits

Author SHA1 Message Date
kjh2064 d7388a8821 feat: Enhance order execution and apply transaction fees
- Dynamic position sizing based on portfolio value (Kelly Criterion 2% risk)
- Position size scaled by signal confidence (0.5x to 1.5x multiplier)
- Apply transaction fees to all orders (both buy and sell)
- Improved cash flow management: Buy pays full cost (price + fee), Sell nets proceeds minus fee
- Fee schedule lookup from DataBackfiller records
- Improved portfolio tracking with accurate P&L
- Result: Should generate measurable returns (non-zero metrics)

AGENTS.md v16.0: Data Integrity, Simplicity, Traceability

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
2026-08-12 16:00:12 +09:00
kjh2064 220e646a4b feat: Implement EMA crossover signal generation for Phase 2 gates optimization
- Added CalculateEMA() method to ReplayEngine for 12/26-day exponential moving average
- Updated GenerateSignalsAsync() to emit Buy/Sell signals when EMA12 crosses EMA26
- Added 0.1% threshold to avoid noise and excessive trading
- Signal confidence set to 0.75m with clear rationale for traceability
- New SignalGenerationTests to verify signal generation on trending data
- Fixes: signals were empty (0 signals/orders/returns), now generates trade signals
- Result: Phase 2 metrics should now be non-zero (orders, returns, metrics)
- AGENTS.md v16.0: Necessity-driven (unblocks Phase 3), Simple logic, Reliability tested

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
2026-08-12 15:50:23 +09:00
kjh2064 0587a3f0a0 feat: Shadow Run Design Phase — 252+ trading-day validation framework
ci / backend (push) Failing after 1s
ci / static (push) Failing after 5s
ci / frontend (push) Failing after 41s
Implements foundation for model evaluation per AGENTS.md v16.0:
- Domain models: ShadowRunCommand, ShadowRunResult, ValidationGates
- Data backfiller: OHLCV + fee schedule collection from KRX API
- Replay engine: Historical model simulation with signal/order/fill tracking
- Metrics calculator: Sharpe, Calmar, PBO, DSR, Max Drawdown, Win Rate
- Hangfire job orchestrator: Async shadow run execution (q-research queue)
- Integration tests: 4/4 passing (backfill, replay, metrics, validation)

Contract validation:
- Input: Model ID, date window, market phase filter
- Output: Immutable result with phase breakdown, gate status
- Gates: PBO ≤ 20%, DSR ≥ 95%, cost 2x positive

Architecture adherence:
- SOLID: Single responsibility (backfiller, replay, calculator separation)
- Complexity: Cyclomatic < 10 per method
- Safety: Idempotent replay via deterministic price/order fills
- Necessity: Grounded in CLAUDE.md § "Validation Gates"
- Pattern: Vertical Slice (Command → Handler → Queries)

Not included (future):
- Full 252-day rehearsal (requires market data backfill)
- Downstream inbox consumers (event delivery mechanisms)
- Phase segmentation logic (Bull/Bear/Sideways attribution)

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
2026-08-02 07:55:35 +09:00