Currently, we have a <5% rmse single-ticker prediction model, and we wish to generalize this to a multiple-ticker model that can deliver <5% rmse for a arbitrary list of tickers. Most likely, this list will need to be of tickers in a similar industry.
[ ] Aquire API Data
[ ] modify train_n_fund.py and train_all.py to implement
Currently, we have a <5% rmse single-ticker prediction model, and we wish to generalize this to a multiple-ticker model that can deliver <5% rmse for a arbitrary list of tickers. Most likely, this list will need to be of tickers in a similar industry.
train_n_fund.pyandtrain_all.pyto implement