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jinglescode / time-series-forecasting-pytorch

Acquiring data from Alpha Vantage and predicting stock prices with PyTorch's LSTM
https://www.alphavantage.co/academy/#lstm-for-finance
Apache License 2.0
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Is it possible to test with another stock than IBM ? #16

Closed LuWahl closed 1 year ago

LuWahl commented 1 year ago

If I try Amazon (AMZ) in config, I get the following error message:

Traceback (most recent call last): File "c:\daten\Python\boerse_deep_learning\boerse_deep_learning.py", line 72, in data_date, data_close_price, num_data_points, display_date_range = download_data(config) File "c:\daten\Python\boerse_deep_learning\boerse_deep_learning.py", line 54, in download_data data, meta_data = ts.get_daily_adjusted(config["alpha_vantage"]["symbol"], \ call_response, data_key, meta_data_key = func( File "C:\daten\programme\python\python310\lib\site-packages\alpha_vantage\alphavantage.py", line 160, in _call_wrapper return self._handle_api_call(url), data_key, meta_data_key File "C:\daten\programme\python\python310\lib\site-packages\alpha_vantage\alphavantage.py", line 359, in _handle_api_call raise ValueError(json_response["Error Message"]) ValueError: Invalid API call. Please retry or visit the documentation (https://www.alphavantage.co/documentation/) for TIME_SERIES_DAILY_ADJUSTED.

Regards Lu

ryansilk commented 1 year ago

Hi LuWahl - hope you're well.

You're getting this error as the ticker symbol for Amazon is 'AMZN', whereas you've asked for 'AMZ'.

The mistyping of the ticker symbol is resulting in the error from the API call.

By changing AMZ to AMZN, the API call will work correctly.

LuWahl commented 1 year ago

Hi ryansilk

sorry was very stupid from me. In Germany Amazon is listed as AMZ.de. I just removed .de Thank you AMZN and Microsoft are working.