Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
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Updated
Jun 2, 2024 - Jupyter Notebook
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
talib extension for formula computation in pure cython in your custom strategies.
An advanced crypto trading bot written in Python
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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
A simple lightweight trading framework compatible with Stock, Forex, Crypto... markets
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
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.
A dockerized Jupyter quant research environment.
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.
The adventures of a non-coder through the financial markets.
Python framework for quantitative financial analysis and trading algorithms on decentralised exchanges
a lovable data analysis and algorithmic trading library for cryptocurrencies
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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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