Deep learning to forecast cryptocurrency prices 7 days in the future. Here are all the cryptos that have models: 'BTC','ETH','ADA','MATIC','DOGE','SOL','DOT','SHIB','TRX','FIL','LINK','APE','MANA',"AVAX","ZEC","ICP","FLOW","EGLD","XTZ","LTC"
Currently, there are 289 features (with pandas_ta, FRED data, and wikipedia data) to help with the forecasting of the close price
python3 crypto_deep_many_features.py all test #check the output for all cryptos
python3 crypto_deep_many_features.py all notest #perform training or create future prediction
python3 crypto_deep_many_features.py BTC test #check output for individiual crypto, in this case BTC.
python3 crypto_deep_many_features.py BTC notest #perform training or create future forecast for individual crypto, in this case BTC.
#change price over time
python3 change_price_over_time.py --name all --extension True #run all cryptos from a predefined list AND yfinance's trending list
python3 change_price_over_time.py --name BTC --extension True #run individual crypto
python3 change_price_over_time.py --name ^DJI --extension False #run individual stock
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.