e8355b3f62
- Dark mode: class-based theme toggle with localStorage persistence and flash prevention - Trade History (/trades): paginated table, stats cards, equity curve chart with DB API endpoints - Backtest Viewer (/backtests): log parser for 35 backtest results, sidebar + detail + comparison tabs - Model Insights: dashboard card + dialog showing feature importance, regime distribution, training history - Alert/Signal Log (/alerts): signal stats, filterable table with execution tracking - API: 8 new endpoints with psycopg2 DB connection pool - Dark mode sweep across books page, about dialog, and all dashboard components - Architecture docs rewritten with Mermaid diagrams (23 docs) - README and FEATURES.md rewritten bilingual (Indonesian + English) - main_live.py: write model_metrics.json on startup and retrain Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
177 lines
4.2 KiB
Markdown
177 lines
4.2 KiB
Markdown
# Risk Engine — Mesin Risiko & Circuit Breaker
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> **File:** `src/risk_engine.py`
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> **Class:** `RiskEngine`
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> **Digunakan oleh:** `main_live.py`
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---
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## Apa Itu Risk Engine?
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Risk Engine adalah **lapisan proteksi fundamental** yang menghitung ukuran posisi, memvalidasi order, dan mengaktifkan circuit breaker saat batas risiko terlampaui.
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**Analogi:** Risk Engine seperti **sistem rem ABS di mobil** — menghitung kecepatan aman, memvalidasi manuver, dan menghentikan paksa jika ada bahaya.
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---
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## 4 Fungsi Utama
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### 1. Position Sizing (Kelly Criterion)
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```
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Risk-Constrained Half-Kelly:
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1. Hitung Kelly fraction:
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f* = (p × b - q) / b
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dimana:
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p = win rate (misal 0.55)
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q = 1 - p (0.45)
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b = avg win/loss ratio (misal 2.0)
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2. Cap Kelly: max 25%
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3. Half-Kelly: f* × 0.5 (safety)
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4. Apply regime multiplier (0.5x - 1.0x)
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5. Cap di config limit: max risk_per_trade%
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6. Hitung lot:
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risk_amount = balance × actual_risk%
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lot = risk_amount / (SL_pips × pip_value)
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7. Round ke lot_step, clamp ke min/max
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```
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**Contoh:**
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```
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Balance: $5,000
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Win rate: 55%
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Win/Loss ratio: 2.0
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Kelly: (0.55 × 2.0 - 0.45) / 2.0 = 0.325 (32.5%)
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Half-Kelly: 16.25%
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Cap: min(16.25%, 1.0%) = 1.0%
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Risk amount: $50
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SL distance: 50 pips ($5 per pip per 0.01 lot)
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Lot: $50 / (50 × $1) = 0.01 lot (menambahkan regime multiplier)
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```
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### 2. Risk Check (Real-time)
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```python
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check_risk(balance, equity, open_positions, current_price)
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v
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Hitung daily P/L: equity - starting_balance
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v
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Cek circuit breaker aktif? → can_trade = False
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v
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Daily loss >= max_daily_loss%? → CIRCUIT BREAKER
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v
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Posisi >= max_positions? → can_trade = False
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v
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Return RiskMetrics(daily_pnl, drawdown, can_trade, reason)
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```
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### 3. Order Validation
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```python
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validate_order(type, entry, sl, tp, lot, price, balance)
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├── Circuit breaker aktif? → REJECT
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├── BUY: SL >= entry? → REJECT ("SL harus di bawah entry")
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├── BUY: TP <= entry? → REJECT ("TP harus di atas entry")
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├── Lot < minimum? → REJECT
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├── Lot > maximum? → REJECT
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├── Entry terlalu jauh dari current price (>0.1%)? → REJECT
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├── Risk% > 1.5× config limit? → REJECT
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└── Semua OK → APPROVED
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```
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### 4. Circuit Breaker
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```
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TRIGGER:
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Daily loss >= max_daily_loss% (3% untuk $5K account)
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EFEK:
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→ can_trade = False
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→ Semua entry baru DITOLAK
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→ TIDAK menutup posisi yang ada
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RESET:
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→ Otomatis pada hari baru
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→ Manual via reset_circuit_breaker()
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```
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---
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## Daily Stats Tracking
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```python
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# Auto-initialize setiap hari baru
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_daily_stats[today] = {
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"starting_balance": equity, # Basis untuk % hitung
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"trades": 0, # Total trade hari ini
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"wins": 0, # Trade profit
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"losses": 0, # Trade loss
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}
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```
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---
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## Return Types
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### RiskMetrics
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```python
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@dataclass
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class RiskMetrics:
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daily_pnl: float # P/L hari ini ($)
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daily_pnl_percent: float # P/L hari ini (%)
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open_exposure: float # Total exposure ($)
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max_drawdown: float # Drawdown dari peak (%)
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position_count: int # Jumlah posisi terbuka
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can_trade: bool # Boleh buka posisi baru?
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reason: str # Alasan
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```
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### PositionSizeResult
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```python
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@dataclass
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class PositionSizeResult:
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lot_size: float # Ukuran lot yang dihitung
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risk_amount: float # Risk dalam USD
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risk_percent: float # Risk dalam %
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stop_distance: float # Jarak SL (harga)
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take_profit_distance: float # Jarak TP (harga)
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approved: bool # Disetujui?
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rejection_reason: str # Alasan penolakan
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```
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---
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## Hubungan dengan Smart Risk Manager
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```
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RiskEngine (modul ini)
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├── Kelly Criterion position sizing
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├── Circuit breaker (daily loss limit)
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├── Order validation
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└── Foundational risk checks
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SmartRiskManager (05-Risk-Management.md)
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├── 4 trading modes (NORMAL/RECOVERY/PROTECTED/STOPPED)
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├── Smart exit logic (12 kondisi)
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├── Position monitoring per-detik
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└── Higher-level risk decisions
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```
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**RiskEngine** adalah mesin kalkulasi dasar, **SmartRiskManager** adalah manajer tingkat tinggi yang menggunakannya.
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