Stock Market & Deep Learning

C++ Neural Network implementation in stock market

I have used C++ in this project, the program attempts to predict updated stock market data. I have used a neural network library created by myself to train our model an used it to predict Stock market data.

The data is obtained from IEX trading that is an API for investors and it is updated via HTTP requests. The web-scraping program is built from scratch. Once we have trained the neural net, it reaches a high accuracy, 96%. Continue reading “Stock Market & Deep Learning”

Football Web Scraping

Football web scraping in Java

This application collects data from some website and transforms it into CSV files. The program is executed in parallel and is high-performance.

  • Historical data

It can store statistics, classification, schedule and team information from 1920 to this year.

Continue reading “Football Web Scraping”