Algorithmic-trading Libraries

Freqtrade is a free and open source crypto trading bot written in Python. It is designed to support all major exchanges and be controlled via Telegram or webUI. It contains backtesting, plotting and …

Zipline currently supports Python 2.7, 3.5, and 3.6, and may be installed via either pip or conda. The following code implements a simple dual moving average algorithm. You can then run this algorith…

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, …

Lean Engine is an open-source algorithmic trading engine built for easy strategy research, backtesting and live trading. We integrate with common data providers and brokerages so you can quickly depl…

Here are a few screenshots just to get you excited: In that case, here's what you need to know: First, you need to install Jesse from the repository instead of PyPi: Now every change you make to the …

QuantStats: Portfolio analytics for quants ========================================== Here's an example of a simple tear sheet analyzing a strategy: Output: Output: You can create 7 different report …

This repo is public facing and exists for the sole purpose of providing users with an easy way to raise bugs, feature requests, and other issues. MlFinlab python library is a perfect toolbox that eve…

Docker install in one line summary: No exchange credential is required. Backtesting will give you accurate insights on the past performance and behavior of trading strategies. Do not risk money which…

This repo is no longer actively maintained since the end of 2018. If you wish to use this project or get support for it, there are many forks that may be more active. If any of those is still active,…

I developed QTPyLib because I wanted for a simple, yet powerful, trading library that will let me focus on the trading logic itself and ignore everything else. There are 5 main components to QTPyLib…

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…

While I would not live trade based off of the predictions from this exact code, I do believe that you can use this project as starting point for a profitable trading system – I have actually used cod…

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 …

NautilusTrader is an open-source, high-performance, production-grade algorithmic trading platform, providing quantitative traders with the ability to backtest portfolios of automated trading strategi…

Trading strategies builder, backtester, and real-time trader. pip install algorithmic-trader algo-trader is an implementation of an algorithmic trading strategy executor and backtester. Capable of ba…

Use any of the following services. On Linux, unless you know what you are doing, you should use your system's packaging system. For example, on Debian or Ubuntu, type: Installing Anaconda, should ins…

. . . . . This project implements the basic functionality required to engage in algorithmic trading. It can be regarded as a starting point for more complex trading bots. Make sure you have pip insta…

The Github repository features a trading system designed for automated algorithmic trading on Binance Futures, Bybit, BitMEX and FTX. This trading system aims to offer an easy-to-use platform for use…

Profitable stocks and crypto trading involves a lot of know how and experience in Technical Analysis. However, the fundamentals behind technical analysis techniques, tools, resources and effective st…

That's what inspired me to make this bot, and to expose to the public how really anyone this day and age can jump headfirst into the algorithmic trading world. Before downloading and using this bot, …

This machine learning algorithm was built using Python 3 and scikit-learn with a Decision Tree Classifier. The program gathers stock data using the Google Finance API and pandas. The data is illustra…