Automated Cryptocurrency Trading

Abstract

"The initiative is a design and implementation of a technical indicator-based algorithm and sentiment analysis automated trading system that will employ these tools to make smart moves in the crypto markets. The platform uses a collection of technical indicators, such as moving average, RSI and Bollinger Bands to confirm trading setups at potential entry and exit points. On the top of that, sentiment analysis of social media data, mostly Twitter, is applied to see how market sentiment shifts and forecast the prices fluctuations. The system's architecture empowers this real-time data analysis that helps taking timely decisions and carrying out trades instantly. By using back testing and simulation, it is possible to figure out the viability and resilience of trading strategy. Often, this process is used to check whether the trading algorithm can make money, given historic data. Additionally, the project evaluates possible improvements, including mays volume and smart money concepts, which help in sharpening the system's performance and prediction ability. A summary of the project will state that the work is directed at algorithmic trading issue and gives total concept for automated cryptocurrency trading based on technical analysis and sentiment analysis."