Trade Alert

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.



Breakout channel example
Crossing moving averages example