Investment Libraries

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Investment Libraries

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

Recent released features Features released before 2021 are not listed here. Qlib is an open-source, AI-oriented quantitative investment platform that aims to realize the potential, empower research, …

🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.

Blankly is an ecosystem for algotraders enabling anyone to build, monetize and scale their trading algorithms for stocks, crypto, futures or forex. The same code can be backtested, paper traded, sand…

SGX-Full-OrderBook-Tick-Data-Trading-Strategy

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

Framework to capture the dynamics of high-frequency limit order books. In this project I used machine learning methods to capture the high-frequency limit order book dynamics and simple trading strat…

Algorithmic Trading in Python with Machine Learning

With PyBroker, you'll have all the tools you need to create winning trading strategies backed by data and machine learning. Start using PyBroker today and take your trading to the next level! Or you …

Investment portfolio and stocks analyzing tools for Python with free historical data

...entities should not be multiplied without necessity -- William of Ockham (c. 1287–1347) For many countries (China, USA, United Kingdom, European Union, Russia, Israel etc.): Get the main parameter…

Simple Stock Investment Recommendation System based on Machine-Learning algorithms for prediction and Twitter Sentiment Analysis.

Fist I set up the model for the forecast: Finally I apply the LinearRegression algorithm to the data set and then I plot it to see the representation of the forecast made.

Scrape, analyze & visualize stock market data for the S&P500 using Python. Build a basic trading strategy using machine learning to assess company performance and determine buy, sell, hold. Read me & instructions available in Spanish. This is a working repo, with plans to expand the project from technical analysis to fundamental analysis.

Use Python to scrape data and join with financial data from Yahoo Finance (or another finance) API. Use data manipulation and visualization for financial and investment analysis (i.e. compare rates o…

A simple Python API for Investopedia's stock simulator games. This programmatically logs into Investopedia and can retrieve portfolio summary, get stock quotes & option chain lookups, execute trades - buy & sell shares, puts, calls, sell short, etc.

A simple Python API for Investopedia's stock simulator games. Currently you can: Todo: Simply pass a dict to InvetopediaAPI constructor with a username and password. Python 3.6.7. I just use a virtu…

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