Awesome Quant

A cryptocurrency trading API with more than 100 exchanges in JavaScript / TypeScript / Python / C# / PHP / Go / Java

基于Python的开源量化交易平台开发框架

FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.

Production-grade Rust-native trading engine with deterministic event-driven architecture

Python Backtesting library for trading strategies

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

Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

"Vibe-Trading: Your Personal Trading Agent"

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

Open Source Wealth Management Software. Angular + NestJS + Prisma + Nx + TypeScript 🤍

An advanced crypto trading bot written in Python

The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.

A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities

Technical Analysis Library using Pandas and Numpy

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

Portfolio Optimization in Python

Algorithmic Trading in Python with Machine Learning

Hikyuu Quant Framework 基于C++/Python的超高速开源量化交易研究框架，同时可基于策略部件进行资产重用，快速累积策略资产。

An Algorithmic Trading Library for Crypto-Assets in Python

A Java library for technical analysis.

🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.

Common financial technical indicators implemented in Pandas.

A complete set of volatility estimators based on Euan Sinclair's Volatility Trading

Python client for Alpaca's trade API

Rust library for quantitative finance.

Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

Python AutoML for Trading Systems and Sports Betting

Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering

The official Python client library for the Massive.com REST and WebSocket API.

A TD Ameritrade API client for Python. Includes historical data for equities and ETFs, options chains, streaming order book data, complex order construction, and more.

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

Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.

Indicator Go delivers a rich set of technical analysis indicators, customizable strategies, and a powerful backtesting framework. No dependencies, just pure simplicity. ✨ See how! 👀

Portfolio optimization with deep learning.

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

Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integrated with various data vendors and brokers, supports Crypto, Stocks and Futures.

Asynchronous, event-driven algorithmic trading in Python and C++

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

C++ 17 based library (with sample applications) for testing equities, futures, currencies, etfs & options based automated trading ideas using DTN IQFeed real time data feed and Interactive Brokers (IB TWS API) for trade execution. libtorch/lstm/cuda demo. Support for Alpaca & Phemex. Notifications via Telegram.

A composable, real time, market data and trade execution toolkit. Built with Elixir, runs on the Erlang virtual machine

Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models

Python framework for quantitative financial analysis and trading algorithms on decentralised exchanges

A fixed income library for pricing bonds and bond futures, and derivatives such as interest rate swaps (IRS), cross-currency swaps (XCS) and FX swaps. Contains tools for full curveset construction with market standard optimisers and automatic differentiation (AD) and risk sensitivity calculations including delta and cross-gamma.

Forex algorithmic trading framework using OANDA REST API.

Pipeline Extension for Live Trading

Quantitative systematic trading strategy development and backtesting in Julia

A python library for computing technical analysis indicators on streaming data.

From Idea to Execution - Manage your trading operation across a distributed cluster

Aggregate trade data into user-defined candles using information driven rules

Python library for backtesting technical/mechanical strategies in the stock and currency markets