An advanced crypto trading bot written in Python
-
Updated
Jun 12, 2024 - Python
An advanced crypto trading bot written in Python
Cryptocurrency trading bot, and backtesting framework in julia
A simple lightweight trading framework compatible with Stock, Forex, Crypto... markets
A high-frequency trading and market-making backtesting tool 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
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
Collection of publicly available quant resouces.
talib extension for formula computation in pure cython in your custom strategies.
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.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
请访问 😄www.jieyu.ai和公众号🫶量化风云
modular quant framework.
Python framework for quantitative financial analysis and trading algorithms on decentralised exchanges
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
A dockerized Jupyter quant research environment.
python量化 量化策略 量化投资
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
[🔥updating ...] AI 自动量化交易机器人 AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
Fcore Is an AI Framework for Financial Markets Analysis (Active Development).
Add a description, image, and links to the quantitative-trading topic page so that developers can more easily learn about it.
To associate your repository with the quantitative-trading topic, visit your repo's landing page and select "manage topics."