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 well-liked and promising forms of lucrative investing. Financial markets are notorious for  their tremendous volatility, regardless. An automation-enabled trading model, accurate and trustworthy predictions, and portfolio  management and optimization are necessary because of the considerable volatility and price discrepancies over short periods. A kind of  trading called algorithmic trading uses computers to carry out trades in accordance with a trend and a set of rules. Profits may be  produced through trade at inhumanely high speeds and frequencies. The software is given a set of trading instructions, which might be  based on time, value, quantity, or any other mathematical model. In addition to providing profitable trading opportunities, algorithmic  trading increases market fluidity and increases trading accuracy by reducing human elements like human emotions on trade. This work  aims to contribute to the impending market revolution by developing an algorithmic trading bot that will exchange client strategies  closely accompanied by its own calculations for daily exchanging based on economic conditions and client approaches. It will also  contribute and exchange with ongoing adjustments throughout the day to ensure the best tradability.