bukosabino / Btctrading
Licence: mit
Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms
Stars: ✭ 99
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btctrading
This is my personal code to predict the Bitcoin value using Machine Learning / Deep Learning Algorithms.
We will consider our problem as:
- Regression Problem.
- Classification Multiclass Problem [UP, KEEP, DOWN].
Get data from https://bitcoincharts.com/charts, you can choose period, symbol and exchange market and save the datas in a csv file.
Deployment instructions
Installation (python3):
> git clone https://github.com/bukosabino/btctrading.git
> cd btctrading
> virtualenv -p python3 virtualenvironment
> source virtualenvironment/bin/activate
> pip install -r requirements.txt
Get data:
API: http://bitcoincharts.com/charts
period = ['1-min', '5-min', '15-min', '30-min', 'Hourly', '2-hour', '6-hour', '12-hour', 'Daily', 'Weekly']
market = ['krakenEUR', 'bitstampUSD'] -> list of markets: https://bitcoincharts.com/charts/volumepie/
> python get_data.py
Run
> jupyter lab
TODO:
- Simulator validation (backtesting)
- Add features -> Global Indicators (EUR/USD, S&P500, etc).
- Add different algorithms or ideas (LSTM, Reinforcement Learning, Q-Learning).
- Alert System (email, twitter, telegram).
Developed by Bukosabino at Lecrin Technologies - http://lecrintech.com
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