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To test, do this and observe that only one datapoint is returns (instead of the default which should be daily for one month). I also tried different values for period and interval parameters.
data = YFinanceTools().get_historical_stock_prices(symbol="NVDA")
print(data)
The text was updated successfully, but these errors were encountered:
Thanks for the PR @rawmean. Sometimes the LLM would request historical data across a long interval (5 years+) exceeding the context window of some of the smaller models. But happy to test this and set some checks to avoid that.
Thanks. 5+ years interval may not be necessarily large if the period is set to 1mo as an example. If you insist on putting a check, maybe the check should be on number of samples and not the "interval".
To test, do this and observe that only one datapoint is returns (instead of the default which should be daily for one month). I also tried different values for
period
andinterval
parameters.The text was updated successfully, but these errors were encountered: