基于Python的开源量化交易平台开发框架
-
Updated
Nov 29, 2024 - Python
基于Python的开源量化交易平台开发框架
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Open source software that helps you create and deploy high-frequency crypto trading bots
Portfolio analytics for quants, written in Python
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.
WonderTrader——量化研发交易一站式框架
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
QTPyLib, Pythonic Algorithmic Trading
🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.
Quantitative analysis, strategies and backtests
Common financial technical indicators implemented in Pandas.
Algorithmic Trading in Python with Machine Learning
A high-frequency trading and market-making backtesting and trading bot in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books, with real-world crypto market-making examples for Binance Futures
Find big moving stocks before they move using machine learning and anomaly detection
fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
Detects arbitrage opportunities across 131 cryptocurrency exchanges in 50 countries
Algorithmic trading framework for cryptocurrencies.
Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy
Open-source Rust framework for building event-driven live-trading & backtesting systems
A working example algorithm for scalping strategy trading multiple stocks concurrently using python asyncio
Add a description, image, and links to the algotrading topic page so that developers can more easily learn about it.
To associate your repository with the algotrading topic, visit your repo's landing page and select "manage topics."