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• Create Date 2 May 2023
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Cryptocurrency Trading Bot

Hussain Amreliwala1, Aashna Chauhan2, Omkar Pawar3, Yash Wadhekar4, Anuradha Kapoor5

1Student at Department of Information Technology Atharva College Of Engineering Mumbai, Maharashtra

2Student at Department of Information Technology Atharva College Of Engineering Mumbai, Maharashtra

3Student at Department of Information Technology Atharva College Of Engineering Mumbai, Maharashtra

4Student at Department of Information Technology Atharva College Of Engineering Mumbai, Maharashtra

5Professor at Department of Information Technology Atharva College Of Engineering Mumbai, Maharashtra

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Abstract - Cryptocurrencies and its trading have grown in popularity in recent years, with millions of crypto investors and traders exchanging crypto in a profitable and seamless manner. Various advantages are providing over traditional manual trading by crypto bots, one such is automated trading. This project attempts to address these concerns by creating an automated cli cryptocurrency bot that uses the Binance API and implementing mean reversion algorithm by calculating SMA30 and  SMA90 of the cryptocurrency to produce buy and sell signals and trade effectively. By automating the trading process with the Binance API, the proposed Crypto Trading Bot project aims to enhance the way cryptocurrency traders operate. It will automate trades based on established or custom parameters. Traders will be able to explore the project's user-friendly command-line interface. The project's cli will enable traders to see various indicators, backtest strategies, and buy and sell automatically by integrating with binance api. This project provides a tool for traders looking to simplify their operations and maximize their profits in the highly competitive and dynamic world of cryptocurrency trading. The Crypto Trading Bot project is a distinct profitable solution for bitcoin traders. It is an extremely useful tool for cryptocurrency traders.

Key Words: Binance, Cryptocurrency, Mean Reversion, SMA30, SMA90