84 Open source projects that are alternatives of or similar to pyalgotrading

modular quant framework.

Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).

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

Python-based framework for backtesting trading strategies & analyzing financial markets [GUI ]

Kelp is a free and open-source trading bot for the Stellar DEX and 100+ centralized exchanges

Open-Source Cloud-Native Digital Asset & Cryptocurrency Exchange Platform

🚀 Websocket based trading bot for 💰cryptocurrencies 📈

Coin Trader is a Java-based backend for algorithmically trading cryptocurrencies. It provides data collection and export, complex event processing and triggering, and backtesting - paper trading - live trading.

Simple BitMEX trading robot.

The Open Trading Platform API is an independent module for managing API requests from the UI module

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

Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.

Algorithmic trading strategies

Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

Framework for algorithmic trading

Low-latency algorithmic trading platform written in Rust

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

Korbit API wrapper for Python

CTP 高频量化交易平台 C++ Trade Platform for quant developer

The Open Trading Platform UI is a front-end module for trading across 5 crypto currency exchanges allowing both spot and margin trading. The UI needs to be used with the API repo.

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。

Graphical Python programming for trading and automation

Executium API Version 2 - A comprehensive trading system API which connects traders with dozens of exchanges. Currently in closed beta

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 open and opinionated trading platform using productive & familiar open source libraries and tools for strategy research, execution and operation.

convenient script for trading with python.

Unofficial alternative launcher for QuantConnect's LEAN allowing for parallel execution and looping/batching with customizable parameters and ranges.

A Java API for Developing Automated Trading Applications for the Equity, Futures, and Currency Markets

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

c++ based application for testing options based automated trading ideas using DTN IQ real time data feed and Interactive Brokers (TWS API) for trade execution.

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

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

Strategies to Gekko trading bot with backtests results and some useful tools.

Futu Algorithmic Trading Solution (Python) 基於富途OpenAPI所開發量化交易程序

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.

Astibot is a simple, visual and automated trading software for Coinbase Pro cryptocurrencies (Bitcoin trading bot)

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.

Self-hosted crypto trading bot (automated high frequency market making) written in C++

💴 Collection of overlays made by the TradingVueJs community

Ccxt based, open source, customized, extendable trading platform that supports 130+ crypto exchanges.

Shark is an open source algorithmic trading platform. It alerts traders to specific items of interest and can execute trades based on those interests.

Test automation tool for Clearing, Settlement and Back-Office Systems

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

This trading bot listens to the TradingView alert emails on your inbox and executes trades on Binance based on the parameters set on the TD alerts.

Backtest and live trading in Python

A cryptocurrency trading bot and framework supporting multiple exchanges written in Golang.

The open-core for enterprise-grade algorithmic trading infrastructure

Vectorized backtester and trading engine for QuantRocket

A platform for trading crypto currency pairs on crypto exchanges and running crypto currency pair strategies.

Shioaji all new cross platform api for trading ( 跨平台證券交易API )

Node.js connector for the Bybit APIs and WebSockets, with TypeScript & browser support.

Trading bot including terminal, for crypto and traditionals markets. Assisted or fully automated strategy.

A master database of securities data for use with the Odin algorithmic trading platform.

API for algorithmic and high-frequency trading

A self hosted, cryptocurrency trading bot and framework supporting multiple exchanges with GUI

Algorithmic Trading : A python framework to run backtest on stocks using your own custom algorithmic strategies

Algorithmic trading infrastructure in Python.

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.

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

quant framework for stock