The goal for this project is 1)to get bitcoin related data to predict bitcoin price. 2)Predict Bitcoin future price 3)Auto-trading based on the prediction(Long Only)
quarterly and weekly bitcoin price from OKEX
asks/bids info and last price from Bitfinex (Will add funding data later)
USDT OTC price from Huobi.pro
Emotion from news and forum (Wallstreet.cn and 8btc , will add reddit and CCN later)(DELETED due to effeciency reason)
3 predicted outcomes: Next_5,Next_10,Next_15 refer to the bitcoin future price will raise or drop in next 5/10/15 minutes based on our prediction
Neural Network
2) https://github.com/benjaminshi02003220/Bitcoin_price_prediction Download this project and run NNC.py to build up the model based on the data in SQL Database
3) Copy the 4 model file from Bitcoin_price_prediction folder to bitcion_trade_data folder. Run prediction.py to 1.predict price 2.Auto-Trading based on the result(To be completed)
You need to install below packages before run input_data.py
pip install requests -- Access to webpage
pip install BeautifulSoup -- Formalize webpage
pip install snownlp -- Analyze emotion of sentenses in Chinese
pip install pyodbc -- connect to SQL Server DB
pip install sklearn -- Machine Learning Model
Will update the code from time to time.
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1. get the news from wallstreet cn(https://wallstreetcn.com/) blockchain channel. Analyze the emotion thru SnowNLP. Input as a feature.
2. get the posts from Chinese biggest BTC forum--8btc cn(https://8btc.com/) blockchain channel. Analyze the emotion by using SnowNLP. Input as a feature.
(Will Update and input the emotion from Reddit and CCN in the future)
Adding solutions for disconnect conditions
1.fixed a bug in bfx.py
2.*Changed the data storage from csv to SQL server database.Better for further machine learning process.
Start another project named Bitcoin_price_prediction to predict bitcoin trend.
DELETED Emotion from forum due to effeciency reason
adding prediction.py (To be Updated)
Fixed some bugs and complete the real-time prediction. (prediction.py). Next step is to accomplish the auto-trading based on the prediction result~
3 predicted outcomes: Next_5,Next_10,Next_15 refer to the bitcoin future price will raise or drop based on our prediction , 1 means raise ,0 means drop. If two of the three outcomes are 1, we can long bitcoin future and will sell it after 15 minutes/or a certain percentage of profit(to be tested)
Adding future trading process(Long and sell after 15 minutes)