Cryptocurrency Algorithmic Trading with Price Forecasting Analysis using PowerBI

Abstract

As an alternate form of trade money, cryptocurrencies are now widely accepted and have been integrated into all financial activities. Trading cryptocurrencies is one of the most popular and promising forms of investing. However, the cryptocurrency markets are notorious for their tremendous volatility and price discrepancies over short periods. To ensure accurate and trustworthy predictions, it is necessary to have an automated trading model that includes portfolio management and optimization. Automated algorithmic trading uses computers to carry out trades in accordance with the past and predicted trends following a defined set of rules. These rules include trading instructions based on time, value, quantity, or any other mathematical model of trading. Profits may be achieved through algorithmic trading at inhumanely high speeds and frequencies. In addition to providing profitable trading opportunities, algorithmic trading increases market fluidity and increases trading accuracy by reducing human elements such as emotions and feelings regarding the trade. This paper aims to contribute to the ongoing market revolution by discussing the various aspects of cryptocurrecy trading, its forecasting and actual development of an algorithmic trading bot that will implement client strategies closely accompanied by its own calculations for daily exchanges based on economic conditions and client approaches. It will also contribute to and exchange with ongoing adjustments throughout the day to ensure the best profitability of the clients.