expose raw features to the environment for use in calculate_reward

2023-02-10 15:48:18 +01:00
parent 154b6711b3
commit 8873a565ee
3 changed files with 12 additions and 7 deletions
--- a/docs/freqai-reinforcement-learning.md
+++ b/docs/freqai-reinforcement-learning.md
@@ -177,7 +177,7 @@ As you begin to modify the strategy and the prediction model, you will quickly r
                factor = 100

            # you can use feature values from dataframe
-            rsi_now = self.df[f"%-rsi-period-10_shift-1_{self.pair}_"
+            rsi_now = self.raw_features[f"%-rsi-period-10_shift-1_{self.pair}_"
                              f"{self.config['timeframe']}"].iloc[self._current_tick]

            # reward agent for entering trades