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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
A curated list of awesome Machine Learning frameworks, libraries and software.
**的Quant相关资源索引
Opensource Bitcoin Exchange Software
Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex (www.darwinex.com)
Deep Learning Specialization by Andrew Ng on Coursera.
MIT Deep Learning Book in PDF format
提供券银河/华泰客户端/雪球的基金、股票自动程序化交易以及自动打新,支持跟踪 joinquant /ricequant 模拟交易 和 实盘雪球组合, 量化交易组件
A list of online resources for quantitative modeling, trading, portfolio management
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.
EliteQuant Excel for Quantitative Modeling, Trading, and Portfolio Management. It enables you to create quantitative financial models in Excel spreadsheet, in the same way how financial professionals such as traders, quants, and portfolio managers do their day to day work. You are able to create pricing tools for products across all asset classes such as interest rate or FX, and from plain vanilla to exotic instruments. You are also able to backtest and live trade from Excel, with the so-called RTD, or real-time data support.
Matlab quantitative trading and investment platform. EliteQuant_Matlab is Matlab 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.
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.
R quantitative trading and investment platform. EliteQuant_R is R 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.
FinRL: The first open-source project for financial reinforcement learning. Please star. 🔥
Interactive Brokers API to ZeroMQ proxy
Updated repository containing datafeed and strategy
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Package based on the work of Dr Marcos Lopez de Prado regarding his research with respect to Advances in Financial Machine Learning
:chart: openAlgo is a public repository for various work product relavant to algorithms and the high frequency low latency electronic trading space with a bias toward market microstructure as well as exchange traded futures and options.
OpenFE: automated feature generation with expert-level performance
C++ low-latency in-memory order book
PyZMQ: Python bindings for zeromq
分享量化投资相关的论文,代码和代码复现。nutquant
A real-time quantitative trading/backtesting platform in C#, supporting IB (full brokerage) and Google Finance (quote only). It adds R support through R.NET.
An R implementation of Interactive Brokers API
掘金策略集锦
Project intends to provide an easy framework for collecting and analyzing performance counters
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.