Top 54 quantitative-trading open source projects

A stock backtesting engine written in modern Java. And a pairs trading (cointegration) strategy implementation using a bayesian kalman filter model

Python version of Quantiacs toolbox and sample trading strategies

playing idealized trading games with deep reinforcement learning

Kungfu Trader

Digital currency quantitative trading

A multi-asset, multi-strategy, event-driven trade execution and management platform for running many algorithms/bots at many venues simultaneously with unified risk management and reporting. Uses MongoDB for storage and Telegram for user notifications/trade consent.

Quantitative Interview Preparation Guide, updated version here ==>

Powerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/

Коннектор к торговому терминалу ARQA QUIK (Квик), который делает доступным весь функционал QLUA из .NET (C#)

Java/MySQL live algorithmic trading using Interactive Brokers API

An API for backtesting trading strategies in JavaScript and TypeScript.

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

The Open-Source Backtesting Engine/ Market Simulator by Bertram Solutions.

Algorithmic trading strategies

A list of online resources for quantitative modeling, trading, portfolio management

🐗 🐻 Deep Learning based Python Library for Stock Market Prediction and Modelling

modular quant framework.

Quantitative systematic trading strategy development and backtesting in Julia

Codera Quant is a Java framework for algorithmic trading strategies development, execution and backtesting via Interactive Brokers TWS API or other brokers API

算法交易系统，支持CTP、XTP、模拟交易及行情网关、回测。不断迭代更新中。

Application of machine learning to the Coinbase (GDAX) orderbook

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.

中泰证券xtp java api for win\linux\mac

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

Portfolio analytics for quants, written in Python

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

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

基金投资管理回测引擎

Different Types of Stock Analysis in Python, R, Matlab, Excel, Power BI

List of awesome resources for machine learning-based algorithmic trading

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.

Python quantitative trading and investment platform; Python3 based multi-threading, concurrent high-frequency trading platform that provides consistent backtest and live trading solutions. It follows modern design patterns such as event-driven, server/client architect, and loosely-coupled robust distributed system. It follows the same structure and performance metrix as other EliteQuant product line, which makes it easier to share with traders using other languages.

Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy

C/C++ 11 High frequency quantitative trading platform. It follows modern design patterns such as event-driven, server/client architect, dependency injection and loosely-coupled robust distributed system. It is self-contained and can be used out of box. At the same time, it serves as server side for other EliteQuant projects.

期货/期权量化交易系统

A curated list of awesome algorithmic trading frameworks, libraries, software and resources

Developing Options Trading Strategies using Technical Indicators and Quantitative Methods

Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.

source : http://coin.wne.uw.edu.pl/pwojcik/hfd_en.html

#nontina, #paperhands,, #pwnzebotz, #tradezbyguille

Backtest and live trading in Python

A free stock trading interface for CH stock-market. MacOS下控制同花顺进行交易, 无券商限制.

A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.

A GitHub repo for Quant Finance resources

Marco... Polo - Poloni.... Marconi... Poloniex Trade bot

a unified environment for supervised learning and reinforcement learning in the context of quantitative trading

Applying Deep Learning and NLP in Quantitative Trading

Java 实盘量化框架

vnpy3

Quantitative analysis, strategies and backtests

This repository contains the customized trading algorithms that I have created using the Quantopian IDE.

No description or website provided.

PT_QuantBaseApi python version