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This is a great documentation & I well understand it but please how can I make predictions for new timestamp let say I want to know the price for the next 3 minutes let say the dataset is based on 3min timeframe thank you can't wait for a solution for this
Thanks you!
The text was updated successfully, but these errors were encountered:
Thank you, Akinleyejoshua! The methodology should remain consistent even with a 3-minute interval dataset, as you would still be predicting the stock price for the subsequent interval. You can continue to use the same scripts, but make sure to input data that aligns with your custom interval. However, given independent features are daily-based, you have to select other independent features than the open price, high price, low price, close price, ...
thank you i understand you now, the next thing is i want to be able to predict from unseen data instead of the test_set or val_set as input, can i get a code implementation on how i can do that, thank you!
This is a great documentation & I well understand it but please how can I make predictions for new timestamp let say I want to know the price for the next 3 minutes let say the dataset is based on 3min timeframe thank you can't wait for a solution for this
Thanks you!
The text was updated successfully, but these errors were encountered: