A personal project that aims to use computational power to detect possible trades to be make on stock market.
Using web scrapping techniques I was able to get all stock prices from Brazilian Stock Market (bovespa) since 2010 and store them into a mongodb database. Currently, it's analyzing moving averages and channels breakouts to send e-mails alerting of possible trades. The goal is to apply Machine Learning into this project.
Back-end developed with Laravel 8 and mysql to store alerts and users. Python being used to identify trades. MongoDB storing all stock prices. TensorFlow being used as Machine Learning framework.