philipperemy/deep-learning-bitcoin
Exploiting Bitcoin prices patterns with Deep Learning.
Converts Bitcoin OHLC tick data into candlestick chart images for visual pattern recognition, training CNNs (AlexNet via Caffe/NVIDIA DIGITS) to predict 5-minute price movements and quantify return magnitudes. Ingests Coinbase USD data, bins returns into quantile labels, and scales to million-sample datasets while supporting Docker deployment for reproducible model training.
534 stars. No commits in the last 6 months.
Stars
534
Forks
131
Language
Python
License
Apache-2.0
Category
Last pushed
Sep 22, 2018
Commits (30d)
0
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