An extensible framework for high-frequency trading built on top of Alpaca and Yahoo Finance.

A financial deep learning library for stocks price prediction and comparison with traditional investment strategies. The Library is based on LSTM-Neural Networks and Conv1D + LSTM Neural Networks. Investments are subject to market risks, The AUTHOR HOLDS NO RESPONSIBILITY for any financial loss.

Fcore Is a Framework for Financial Markets Analysis (In progress).

📈 EquiFolio: Equity Portfolio Optimization and Generation for Everyone

A powerful financial assistant built with databases, Neural Networks, and Natural Language Processing

Plutus Eye project Is a Global Market prediction web API that aims to improve and automate analysis of the stock market price direction based on available historical data.

This is QA-Stocks, an app that tries to predict stocks using SciPy!

This project is a stock analyzer. It analyzes the trends and patterns of stocks, and uses machine learning to predict the future of the stock. There won't be any price predictions, but rather a buy or sell prediction and a confidence level.

Machine Learning Trader Backend

Stocks trading AI [under-construction]

This project explores the correlation between financial news sentiment and stock prices.

Mirror van het profielwerkstukproject van Sander Vermeulen, Noah Verkaik en Stach Redeker: een programma dat met behulp van kunstmatige intelligentie (NEAT) aandelen kan verhandelen.

Stock price prediction using deep neural network, Do support this project by giving it a star :)