Forecasting Cryptocurrencies in a high frequency setting using Deep Neural Networks.

Name		Name	Last commit message	Last commit date
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.ipynb_checkpoints		.ipynb_checkpoints
ConfSets		ConfSets
__pycache__		__pycache__
data		data
img		img
models/lstm		models/lstm
notebooks		notebooks
scripts		scripts
.DS_Store		.DS_Store
CreateConfSet.ipynb		CreateConfSet.ipynb
CryptoTest.ipynb		CryptoTest.ipynb
DataSets.ipynb		DataSets.ipynb
Dense.ipynb		Dense.ipynb
Dense_new.ipynb		Dense_new.ipynb
FeatureEngineering.ipynb		FeatureEngineering.ipynb
LSTM.ipynb		LSTM.ipynb
README.md		README.md
Results_1min-Copy1.ipynb		Results_1min-Copy1.ipynb
Results_1min.ipynb		Results_1min.ipynb
Results_1min_5Forecast.ipynb		Results_1min_5Forecast.ipynb
Results_1min_5min.ipynb		Results_1min_5min.ipynb
Results_1min_5min_ADA.ipynb		Results_1min_5min_ADA.ipynb
Results_1min_5min_BTC.ipynb		Results_1min_5min_BTC.ipynb
Results_1min_5min_ETH.ipynb		Results_1min_5min_ETH.ipynb
Results_1min_ada.ipynb		Results_1min_ada.ipynb
Results_1min_eth.ipynb		Results_1min_eth.ipynb
Results_5min.ipynb		Results_5min.ipynb
Results_5min_ada.ipynb		Results_5min_ada.ipynb
Results_5min_eth.ipynb		Results_5min_eth.ipynb
Results_5min_new.ipynb		Results_5min_new.ipynb
Untitled.ipynb		Untitled.ipynb
Untitled1.ipynb		Untitled1.ipynb
conf_test		conf_test
conf_test.csv		conf_test.csv
data_1min_std.csv		data_1min_std.csv
deep_models.py		deep_models.py
loss.py		loss.py
modelconf.R		modelconf.R

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