feat: autonomous trading engine — full implementation
- Database migration 018 with 13 tables for trading engine state - Trading engine service (services/trading/) with 12 pure computation modules: position sizer, stop-loss manager, reserve pool, circuit breaker, risk tier controller, correlation matrix, tax lots, trading window, gradual entry, notifications, micro-trading, backtester - Core TradingEngine with pre-trade evaluation pipeline and integration wiring - FastAPI HTTP service with 14 endpoints (health, config, decisions, metrics, backtest) - Performance tracker with Sharpe ratio, drawdown, profit factor computation - 194 Python tests (165 property-based + 29 integration) - Frontend: 13 TanStack Query hooks, 7 dashboard panels, tabbed Trading Engine page - Helm chart entry, network policy, nginx proxy, ingress for trading-engine - Shared infrastructure: enums, Redis keys, TradingConfig in AppConfig
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@@ -103,6 +103,39 @@ class EstimatedDuration(str, Enum):
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LONG_TERM = "long_term"
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# --- Autonomous Trading Engine Enums ---
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class TradingDecisionType(str, Enum):
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ACT = "act"
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SKIP = "skip"
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class CircuitBreakerTriggerType(str, Enum):
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DAILY_LOSS = "daily_loss"
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SINGLE_POSITION = "single_position"
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VOLATILITY = "volatility"
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MANUAL = "manual"
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class ReservePoolTriggerType(str, Enum):
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PROFIT_SIPHON = "profit_siphon"
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EMERGENCY_LIQUIDATION = "emergency_liquidation"
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MANUAL_ADJUSTMENT = "manual_adjustment"
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INITIAL = "initial"
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class NotificationChannel(str, Enum):
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SMS = "sms"
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EMAIL = "email"
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class RiskTierName(str, Enum):
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CONSERVATIVE = "conservative"
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MODERATE = "moderate"
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AGGRESSIVE = "aggressive"
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# --- Document Intelligence ---
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class CompanyImpact(BaseModel):
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