Add FastAPI backend for energy trading system

Implements FastAPI backend with ML model support for energy trading,
including price prediction models and RL-based battery trading policy.
Features dashboard, trading, backtest, and settings API routes with
WebSocket support for real-time updates.

backend/app/services/strategy_service.py

@@ -0,0 +1,83 @@
+from typing import Dict, List, Optional
+from datetime import datetime
+from app.models.enums import StrategyEnum
+from app.models.schemas import StrategyStatus
+from app.utils.logger import get_logger
+
+logger = get_logger(__name__)
+
+
+class StrategyService:
+    def __init__(self):
+        self._strategies: Dict[StrategyEnum, StrategyStatus] = {}
+        self._initialize_strategies()
+
+    def _initialize_strategies(self):
+        for strategy in StrategyEnum:
+            self._strategies[strategy] = StrategyStatus(
+                strategy=strategy, enabled=False, last_execution=None, total_trades=0, profit_loss=0.0
+            )
+
+    async def execute_strategy(self, strategy: StrategyEnum, config: Optional[Dict] = None) -> Dict:
+        logger.info(f"Executing strategy: {strategy.value}")
+        status = self._strategies.get(strategy)
+
+        if not status or not status.enabled:
+            raise ValueError(f"Strategy {strategy.value} is not enabled")
+
+        results = await self._run_strategy_logic(strategy, config or {})
+
+        status.last_execution = datetime.utcnow()
+        status.total_trades += results.get("trades", 0)
+        status.profit_loss += results.get("profit", 0)
+
+        return {"strategy": strategy.value, "status": status.dict(), "results": results}
+
+    async def _run_strategy_logic(self, strategy: StrategyEnum, config: Dict) -> Dict:
+        if strategy == StrategyEnum.FUNDAMENTAL:
+            return await self._run_fundamental_strategy(config)
+        elif strategy == StrategyEnum.TECHNICAL:
+            return await self._run_technical_strategy(config)
+        elif strategy == StrategyEnum.ML:
+            return await self._run_ml_strategy(config)
+        elif strategy == StrategyEnum.MINING:
+            return await self._run_mining_strategy(config)
+        return {"trades": 0, "profit": 0}
+
+    async def _run_fundamental_strategy(self, config: Dict) -> Dict:
+        logger.debug("Running fundamental strategy")
+        return {"trades": 0, "profit": 0}
+
+    async def _run_technical_strategy(self, config: Dict) -> Dict:
+        logger.debug("Running technical strategy")
+        return {"trades": 0, "profit": 0}
+
+    async def _run_ml_strategy(self, config: Dict) -> Dict:
+        logger.debug("Running ML strategy")
+        return {"trades": 0, "profit": 0}
+
+    async def _run_mining_strategy(self, config: Dict) -> Dict:
+        logger.debug("Running mining strategy")
+        return {"trades": 0, "profit": 0}
+
+    async def get_strategy_status(self, strategy: StrategyEnum) -> StrategyStatus:
+        return self._strategies.get(strategy, StrategyStatus(strategy=strategy, enabled=False))
+
+    async def get_all_strategies(self) -> List[StrategyStatus]:
+        return list(self._strategies.values())
+
+    async def toggle_strategy(self, strategy: StrategyEnum, action: str) -> StrategyStatus:
+        status = self._strategies.get(strategy)
+        if not status:
+            raise ValueError(f"Unknown strategy: {strategy.value}")
+
+        if action == "start":
+            status.enabled = True
+            logger.info(f"Strategy {strategy.value} started")
+        elif action == "stop":
+            status.enabled = False
+            logger.info(f"Strategy {strategy.value} stopped")
+        else:
+            raise ValueError(f"Invalid action: {action}. Use 'start' or 'stop'")
+
+        return status