Cryptocurrency Trading Bot Using Deep Learning: Part-1 Data Gathering
Recently, cryptocurrency trading has been one of the most talked topics of the technology. With severe ups and downs, bitcoin and cryptocurrency trading gets attention from millions of investors. Its unpredictable nature and volatility attracted my attention. So I decided to develop an automated cryptocurrency bot using deep learning. The bot should be able to analyze the current trends and changes in the price and should decide when and how much it will buy or sell to make profits.
There will be several posts to break the bot into manageable parts. So this time, instead of a one script project, it will be a big project with Object-Oriented Design and several files. It would be very difficult to share all the code in one post, so if you are interested and want to run the code, you can get it from here: https://github.com/yusuftas/deep_trader_bot .
This first post will cover the part of data gathering. Since I am planning to use Deep Learning, it will need lots of data samples to make good predictions. It is possible to get historical data without all this code, but I am planning to run real time tests to see if the bot can make a profit, all this code posted here will definitely be needed.