Hi,
The limit on the 1m historical data is too short. It's currently limited to 120 minutes. It should be a lot larger than this. I would say very least 1 day (1440 minutes) as default. A week would probably be a sensible max (10080).
This is my test code:
from eodhd import APIClient
import config as cfg
api = APIClient(cfg.API_KEY)
def get_ohlc_data():
df = api.get_historical_data("BTC-USD.CC", "1m", results=120)
return df
if __name__ == "__main__":
df = get_ohlc_data()
df["close"] = pd.to_numeric(df["close"], errors="coerce")
df.dropna(subset=["close"], inplace=True)
df["close"].fillna(value=df["close"].mean(), inplace=True)
print(df)
If I leave out the "results" parameter or set it to anything higher than 120, I get this:
[21:11:39] {'errors': {'to': ['Max period length is 120 days'], 'from': ['Max period length is 120 days']}}
It also talks about "days" which is incorrect.
Hi,
The limit on the 1m historical data is too short. It's currently limited to 120 minutes. It should be a lot larger than this. I would say very least 1 day (1440 minutes) as default. A week would probably be a sensible max (10080).
This is my test code:
If I leave out the "results" parameter or set it to anything higher than 120, I get this:
It also talks about "days" which is incorrect.