Add comment to clarify usage of trim_dataframes

2025-12-01 17:43:06 +00:00 · 2023-07-21 20:19:58 +02:00
parent 9c1fea0e7b
commit 91bf8abf38
2 changed files with 3 additions and 0 deletions
--- a/freqtrade/optimize/backtesting.py
+++ b/freqtrade/optimize/backtesting.py
@@ -1277,6 +1277,7 @@ class Backtesting:
        preprocessed = self.strategy.advise_all_indicators(data)

        # Trim startup period from analyzed dataframe
+        # This only used to determine if trimming would result in an empty dataframe
        preprocessed_tmp = trim_dataframes(preprocessed, timerange, self.required_startup)

        if not preprocessed_tmp: