feat: 07.4.1 base strategy + 07.4.2 strategy registry + docs sync

app/src/trading/auto/__init__.py

@@ -0,0 +1 @@
+"""Package marker."""

app/src/trading/auto/service.py

@@ -3,11 +3,12 @@
 from __future__ import annotations
 
 import asyncio
-import random
 from datetime import datetime
 
 from src.core.config import load_settings
 from src.trading.auto.state import AutoTradeState
+from src.trading.strategies.base import BaseStrategy, StrategyContext
+from src.trading.strategies.registry import StrategyRegistry
 
 
 class AutoTradeService:
@@ -106,7 +107,7 @@ class AutoTradeService:
     # установить стратегию
     def set_strategy(self, strategy: str) -> AutoTradeState:
         state = self.get_state()
-        state.strategy = strategy
+        state.strategy = strategy.strip().upper()
         return state
 
     # установить риск
@@ -115,6 +116,21 @@ class AutoTradeService:
         state.risk_percent = risk_percent
         return state
 
+    # собрать контекст для стратегии
+    def _build_strategy_context(self) -> StrategyContext:
+        state = self.get_state()
+
+        return StrategyContext(
+            symbol=state.symbol,
+            status=state.status,
+            risk_percent=state.risk_percent,
+        )
+
+    # получить стратегию для текущего цикла
+    def _get_strategy(self) -> BaseStrategy:
+        state = self.get_state()
+        return StrategyRegistry.get(state.strategy)
+
     # выполнить один цикл анализа рынка
     def run_cycle(self) -> AutoTradeState:
         state = self.get_state()
@@ -122,7 +138,11 @@ class AutoTradeService:
         if state.status == "OFF":
             return state
 
+        strategy = self._get_strategy()
+        context = self._build_strategy_context()
+        result = strategy.analyze(context)
+
         state.last_check_at = datetime.now().strftime("%H:%M:%S")
-        state.last_signal = random.choice(["BUY", "SELL", "HOLD"])
+        state.last_signal = result.signal.value
 
         return state