live market websocket and monitoring wallets

strategies/single_sma_strategy.py

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+import pandas as pd
+from strategies.base_strategy import BaseStrategy
+import logging
+
+class SingleSmaStrategy(BaseStrategy):
+    """
+    A strategy based on the price crossing a single Simple Moving Average (SMA).
+    """
+    def calculate_signals(self, df: pd.DataFrame) -> pd.DataFrame:
+        sma_period = self.params.get('sma_period', 0)
+        
+        if not sma_period or len(df) < sma_period:
+            logging.warning(f"Not enough data for SMA period {sma_period}. Need {sma_period}, have {len(df)}.")
+            df['signal'] = 0
+            return df
+            
+        df['sma'] = df['close'].rolling(window=sma_period).mean()
+        
+        # Signal is 1 when price is above SMA, -1 when below
+        df['signal'] = 0
+        df.loc[df['close'] > df['sma'], 'signal'] = 1
+        df.loc[df['close'] < df['sma'], 'signal'] = -1
+        
+        return df