Trading Simulation Using Python and Visualization on Streamlit with Machine Learning Decision Tree

Abstract

Nowadays, people are starting to have much interest in investing in the stock market and cryptocurrencies to profit. However, at the beginning of 2022, many fraudulent investments, such as illegal trading robots, are persuaded by big profits. People cause a significant loss when trading with the wrong strategies and decisions. Therefore, we need a system that can help simulate trading using technical indicator analysis and machine learning decision trees. Tests carry on several JCI stocks and cryptocurrencies. The simulation result data display as table data and graphs. As a result, the benefits obtained from trading simulations with machine learning decision trees are more than using only technical indicators.