Add trend MACD spot strategy

crypto_spot_bot/bot.py

@@ -141,6 +141,7 @@ class CryptoSpotBot:
                 self._entry_cooldown_until.pop(symbol, None)
             ticker = self.market.tickers.get(symbol)
             candles = self.market.candles.get(symbol, [])
+            trend_candles = self.market.trend_candles.get(symbol, [])
             open_count = len(self.broker.positions_for_symbol(symbol))
             pattern = self.market.patterns.get(symbol, {})
             forecast = self.market.forecasts.get(symbol, {})
@@ -166,7 +167,18 @@ class CryptoSpotBot:
                         account=account,
                     )
                 ).as_dict()
-            signal = self.strategy.entry_signal(symbol, candles, ticker, open_count, pattern, learning, llm, forecast, account)
+            signal = self.strategy.entry_signal(
+                symbol,
+                candles,
+                ticker,
+                open_count,
+                pattern,
+                learning,
+                llm,
+                forecast,
+                account,
+                trend_candles,
+            )
             self.storage.insert_signal(signal)
             if signal.action == "BUY" and ticker is not None:
                 self.broker.buy(
@@ -204,7 +216,7 @@ class CryptoSpotBot:
         return worst.id
 
     def _update_patterns(self) -> None:
-        if not self.settings.pattern_analysis_enabled:
+        if self.settings.strategy_mode == "trend_macd" or not self.settings.pattern_analysis_enabled:
             self.market.patterns = {}
             return
         patterns: dict[str, dict] = {}
@@ -217,7 +229,11 @@ class CryptoSpotBot:
         self.market.patterns = patterns
 
     def _update_forecasts(self) -> None:
-        if self.forecaster is None or not self.settings.time_series_forecast_enabled:
+        if (
+            self.settings.strategy_mode == "trend_macd"
+            or self.forecaster is None
+            or not self.settings.time_series_forecast_enabled
+        ):
             self.market.forecasts = {}
             return
         forecasts: dict[str, dict] = {}