A dockerized Jupyter quant research environment.
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Updated
May 29, 2024 - Dockerfile
A dockerized Jupyter quant research environment.
A simple lightweight trading framework compatible with Stock, Forex, Crypto... markets
a lovable data analysis and algorithmic trading library for cryptocurrencies
阿布量化交易系统(股票,期权,期货,比特币,机器学习) 基于python的开源量化交易,量化投资架构
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
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.
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.
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
An advanced crypto trading bot written in Python
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Lucky is a reactive and async trading framework in Julia designed to rapidly draft, test, deploy and monitor trading strategies and portfolios.
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Python framework for quantitative financial analysis and trading algorithms on decentralised exchanges
The adventures of a non-coder through the financial 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.
modular quant framework.
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