150 Open source projects that are alternatives of or similar to Kungfu

vnpy3

General information about the Open Markets Initiative

Java/MySQL live algorithmic trading using Interactive Brokers API

High-throughput / low-latency C++ application framework

中泰证券xtp java api for win\linux\mac

How to use the Roq C++20 API for Live Cryptocurrency Algorithmic and High-Frequency Trading as well as for Back-Testing and Historical Simulation

CTP开放平台提供A股、港股、美股、期货、期权等全品种接入通道，通过提供中泰证券XTP、华鑫证券奇点、东方证券OST、东方财富证券EMT、盈透证券TWS等各通道的CTPAPI接口，CTP程序可以无缝对接各股票柜台。平台也提供了一套基于TTS交易系统的模拟环境，同样提供了CTPAPI兼容接口，可以替代Simnow，为CTP量化交易开发者提供7x24可用的模拟环境。

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.

Nanolog is an extremely performant nanosecond scale logging system for C++ that exposes a simple printf-like API.

Distributed Stream and Batch Processing

Application of machine learning to the Coinbase (GDAX) orderbook

Algorithmic trading strategies

Low-latency WebSocket Server

Micro XRCE-DDS Client repository

modular quant framework.

Ultra-fast matching engine written in Java based on LMAX Disruptor, Eclipse Collections, Real Logic Agrona, OpenHFT, LZ4 Java, and Adaptive Radix Trees.

OvenMediaEngine (OME) is a streaming engine for real-time live broadcasting with sub-second latency.

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

Audio engine and DSP for Android, written in C++ providing low latency performance in a musical context, supporting both OpenSL and AAudio.

SRS is a simple, high efficiency and realtime video server, supports RTMP, WebRTC, HLS, HTTP-FLV, SRT and GB28181.

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

Mappedbus is a low latency message bus for Java microservices utilizing shared memory. http://mappedbus.io

Lightning Memory Database (LMDB) for Java: a low latency, transactional, sorted, embedded, key-value store

⚡ KCP - A Fast and Reliable ARQ Protocol

Benchmarks for Low Latency (Streaming) solutions including Apache Storm, Apache Spark, Apache Flink, ...

Bind a java thread to a given core

Secure, Reliable, Transport

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

List of awesome resources for machine learning-based algorithmic trading

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

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.

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

A non-sampling profiler purpose built to measure and optimize performance of ultra low latency/real time systems

ScaleCube Services is a high throughput, low latency reactive microservices library built to scale. it features: API-Gateways, service-discovery, service-load-balancing, the architecture supports plug-and-play service communication modules and features. built to provide performance and low-latency real-time stream-processing. its open and designed to accommodate changes. (no sidecar in a form of broker or any kind)

Portfolio analytics for quants, written in Python

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

Ultra fast and low latency asynchronous socket server & client C# .NET Core library with support TCP, SSL, UDP, HTTP, HTTPS, WebSocket protocols and 10K connections problem solution

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

Quantitative systematic trading strategy development and backtesting in Julia

基金投资管理回测引擎

Digital currency quantitative trading

Source code for SonoBus, a real-time network audio streaming collaboration tool.

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。

Ultra fast and low latency asynchronous socket server & client C++ library with support TCP, SSL, UDP, HTTP, HTTPS, WebSocket protocols and 10K connections problem solution

An API for backtesting trading strategies in JavaScript and TypeScript.

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

C++ TCP Proxy Server

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.

Quantitative Interview Preparation Guide, updated version here ==>

Time series monitoring and alerting platform.

[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding

Open-source distributed computation and storage platform

Asynchronous Low Latency C++ Logging Library

API for algorithmic and high-frequency trading

Java Performance

Fast Binary Encoding is ultra fast and universal serialization solution for C++, C#, Go, Java, JavaScript, Kotlin, Python, Ruby, Swift

**No Longer Maintained** Official RAMCloud repo

Low-latency java socket implementation (using shared memory)