Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
-
Updated
Dec 3, 2024 - C#
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
Free, open-source crypto trading bot, automated bitcoin / cryptocurrency trading software, algorithmic trading bots. Visually design your crypto trading bot, leveraging an integrated charting system, data-mining, backtesting, paper trading, and multi-server crypto bot deployments.
Self-hosted crypto trading bot (automated high frequency market making) written in C++
modular quant framework.
A cryptocurrency trading bot and framework supporting multiple exchanges written in Golang.
A list of online resources for quantitative modeling, trading, portfolio management
Cryptocurrency Exchange Websocket Data Feed Handler
A high-performance algorithmic trading platform and event-driven backtester
Ultra-fast matching engine written in Java based on LMAX Disruptor, Eclipse Collections, Real Logic Agrona, OpenHFT, LZ4 Java, and Adaptive Radix Trees.
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning 🔥 ⚡ 🌈
股票AI操盘手:从学习、模拟到实盘,一站式平台。包含股票知识、策略实例、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等,可以方便学习、模拟及实盘交易
Strategies to Gekko trading bot with backtests results and some useful tools.
Python AutoML for Trading Systems and Sports Betting
quant framework for stock
Kelp is a free and open-source trading bot for the Stellar DEX and 100+ centralized exchanges
Open-source crypto currency exchange software (https://openware.com)
Open-source Rust framework for building event-driven live-trading & backtesting systems
A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.
Add a description, image, and links to the trading-platform topic page so that developers can more easily learn about it.
To associate your repository with the trading-platform topic, visit your repo's landing page and select "manage topics."