Switch from volitility to price tomorrow

WebServer/AIPython/features.py

@@ -23,6 +23,9 @@ def MakeFeatures(df, i):
     # Add feature for volitility last 20
     df['Volatility_20'] = df['Return'].transform(lambda x: x.rolling(20).std())
 
+    # This is our training metric
+    df['Target_Close_Tomorrow'] = df['Close'].shift(-1).pct_change()
+
     # Return new df with new features
     return df