Comments (2)
in the config part, replace
"key_adjusted_close": "5. close" with
"key_adjusted_close": "4. close"
in the download-data function use this for the time-series: ts.get_daily
def download_data(config):
ts = TimeSeries(key=config["alpha_vantage"]["key"])
data, meta_data = ts.get_daily(config["alpha_vantage"]["symbol"], outputsize=config["alpha_vantage"]["outputsize"])
and finally, in the plot section, there is an error (likely because of newer libraries. Remove the b=None setting in the following line:
plt.grid(which='major', axis='y', linestyle='--')
This should work now (as of 2024-03-27)
from time-series-forecasting-pytorch.
It works great now - thank you so much for taking the time to figure this out!
from time-series-forecasting-pytorch.
Related Issues (18)
- Small bug HOT 2
- free API key not sufficient to download the price chart? HOT 4
- 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
- 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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