An extensible framework for high-frequency trading built on top of Alpaca and Yahoo Finance.
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Updated
Feb 16, 2023 - Python
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 an AI Framework for Financial Markets Analysis (Active Development).
A Shiny app in R to democratise the more in-depth risk-aware quantitative study of price stocks.
📈 EquiFolio: Equity Portfolio Optimization and Generation for Everyone
A powerful financial assistant built with databases, Neural Networks, and Natural Language Processing
A web scraping/crawling bot that watches for recent news articles and sends an SMS telling you which stocks to invest in
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.
Stocks Price Forecasting Application Using Fuzzy Time Series Method
The aim of this project is to predict the long-term price trend of two indices and one stock with at least 90% accuracy.
This is QA-Stocks, an app that tries to predict stocks using SciPy!
Aplicação construída em C# que utiliza o ML.NET (aprendizado de máquina) para prever o preço de uma ação utilizando algoritmo de regressão.
Бот для Бинариум / Бинарный опцион Binarium bot telegram
Machine Learning Trader Backend
Cryptos, stocks, or Forex: Which is better to trade? Forecast with Streamlit
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.
Stocks trading AI [under-construction]
Predictive Models
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