Trading bot aplicado a criptomoedas: identificação e combinação de indicadores estatísticos para melhor assertividade

Abstract

This study aims to identify a combination of statistical indicators optimized for use in a programmable trading bot that provides the best possible assertiveness, to help both novice and more experienced users to profit more consistently in the trade. A selection of platforms and indicators was made, which allowed the application of tests which provided data to be analyzed, and thus, after filtering the information, the expected result was achieved. We use data analysis to identify patterns, concepts of digital document management to make classification and organization, statistics, ROI calculation, and some other tools so that we can achieve the expected result of identifying a configuration capable of allowing the investor to perform their actions, without the obligation to be present during the period, and that bring security to them, with an optimized assertiveness index.