diff --git a/freqtrade/data/converter.py b/freqtrade/data/converter.py
index 03393905d..e778c99d7 100644
--- a/freqtrade/data/converter.py
+++ b/freqtrade/data/converter.py
@@ -195,14 +195,14 @@ def trim_dataframes(preprocessed: Dict[str, DataFrame], timerange,
     """
     processed: Dict[str, DataFrame] = {}
     for pair, df in preprocessed.items():
-        trimed_df = trim_dataframe(df, timerange, startup_candles=startup_candles)
-        if not trimed_df.empty:
-            # start_mem = trimed_df.memory_usage().sum() / 1024**2
+        trimmed_df = trim_dataframe(df, timerange, startup_candles=startup_candles)
+        if not trimmed_df.empty:
+            # start_mem = trimmed_df.memory_usage().sum() / 1024**2
             # logger.info(f"Memory usage of df for {pair} before reduced is {start_mem:.2f} MB")
-            trimed_df = reduce_mem_usage(pair, trimed_df)
-            # end_mem = trimed_df.memory_usage().sum() / 1024**2
+            trimmed_df = reduce_mem_usage(pair, trimmed_df)
+            # end_mem = trimmed_df.memory_usage().sum() / 1024**2
             # logger.info(f"Memory usage of df for {pair} after reduced is {end_mem:.2f} MB")
-            processed[pair] = trimed_df
+            processed[pair] = trimmed_df
         else:
             logger.warning(f'{pair} has no data left after adjusting for startup candles, '
                            f'skipping.')