Comments (4)
jinglescode
commented on May 23, 2024
Claim your API key here: https://www.alphavantage.co/support/#api-key
does alpha vantage also provide randomised data for feeding the LSTM model
No, you have to do your own preprocessing
from time-series-forecasting-pytorch.
TremotinoVolante
commented on May 23, 2024
Thank you for your fast reply! I have generated my API key here: https://www.alphavantage.co/support/#api-key
I have actually tried it twice, both keys didn't work. I always get the same error.
I use alpha_vantage 2.3.1
The code line
TimeSeries(key=config["alpha_vantage"]["key"])is working fine and gets the right key.
from time-series-forecasting-pytorch.
Luo-Chang
commented on May 23, 2024
Because get_daily_adjusted is a premium feature. You can use get_daily instead.
from time-series-forecasting-pytorch.
TremotinoVolante
commented on May 23, 2024
Because get_daily_adjusted is a premium feature. You can use get_daily instead.
Thank you for your answer! I would not have figured it out!
Also, in config under "alpha_vantage", "key_adjusted_close" must be set to for instance "4. close" instead of "5. adjusted close".
from time-series-forecasting-pytorch.
Related Issues (18)
- Small bug HOT 2
- question about normalization
- MSEloss by default uses 'mean' as reduction method HOT 1
- Is the predicted stock price the highest price the next day?
- Is it possible to test with another stock than IBM ? HOT 1
- Is it possible to test with another stock than IBM ? HOT 2
- Error keyword grid_b is not recognized HOT 1
- Project works well for IBM but not for RIO
- Lookahead Bias
- Problems with free api HOT 3
- Alternative for get_daily_adjusted? HOT 2
- 3 Name Errors HOT 9
- Additional features HOT 3
- is this model any good? HOT 3
- Predicted price is far different from actual price HOT 4
- It seems like predicted price is off 1 day on IBM or maybe i missunderstood something HOT 7
- Future prediction beyond 1 day HOT 1
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