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chore: add guardrails for users who neglect docs

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This commit is contained in:
robcaulk
2023-09-19 12:24:44 +02:00
parent 8f883f2310
commit d21f0f4081
1 changed files with 8 additions and 0 deletions
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freqtrade/freqai/data_kitchen.py
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@@ -244,6 +244,14 @@ class FreqaiDataKitchen:
f"{self.pair}: dropped {len(unfiltered_df) - len(filtered_df)} training points" f"{self.pair}: dropped {len(unfiltered_df) - len(filtered_df)} training points"
f" due to NaNs in populated dataset {len(unfiltered_df)}." f" due to NaNs in populated dataset {len(unfiltered_df)}."
) )
if len(unfiltered_df) == 0 and not self.live:
raise OperationalException(
f"{self.pair}: all training data dropped due to NaNs. "
"You likely did not download enough training data prior "
"to your backtest timerange. Hint:\n"
"https://www.freqtrade.io/en/stable/freqai-running/"
"#downloading-data-to-cover-the-full-backtest-period"
)
if (1 - len(filtered_df) / len(unfiltered_df)) > 0.1 and self.live: if (1 - len(filtered_df) / len(unfiltered_df)) > 0.1 and self.live:
worst_indicator = str(unfiltered_df.count().idxmin()) worst_indicator = str(unfiltered_df.count().idxmin())
logger.warning( logger.warning(