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”
Web-Scraping Stock Market data using C++ API
This is a complex C++ program that is used as an interface to the client, we only need to execute the main thread and it will automatically update stock market data and store it using the JSON format.
We have used IEX API which is free and has more than 10 indices. It obtains information in real time and it is updated whenever you execute it.
The code it for free on a GitHub repository:
Stock market data & deep learning
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.
It can store statistics, classification, schedule and team information from 1920 to this year.
Continue reading “Football Web Scraping”