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.
This is QA-Stocks, an app that tries to predict stocks using SciPy!
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.
Aplicação construída em C# que utiliza o ML.NET (aprendizado de máquina) para prever o preço de uma ação utilizando algoritmo de regressão.
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
Cryptos, stocks, or Forex: Which is better to trade? Forecast with Streamlit
Stocks trading AI [under-construction]
Predictive Models
I show how to analyze time series, make forecasts and use various methods to evaluate time series models.
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