Statistics for topic algorithmic-trading
RepositoryStats tracks 595,858 Github repositories, of these 191 are tagged with the algorithmic-trading topic. The most common primary language for repositories using this topic is Python (98). Other languages include: Jupyter Notebook (29)
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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...
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistanc...
A Python framework for managing positions and trades in DeFi
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...
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
This is a hub for the most recent papers in HFT/Algo trading.
A ranked list of algorithmic trading open-source libraries, frameworks, bots, tools, books, communities, education materials. Updated weekly.
Start developing and backtesting your own automated trading strategies
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...
A curated list of practical financial machine learning tools and applications.
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
A ranked list of algorithmic trading open-source libraries, frameworks, bots, tools, books, communities, education materials. Updated weekly.
This is a hub for the most recent papers in HFT/Algo trading.
Start developing and backtesting your own automated trading strategies
AI-CryptoTrader is a state-of-the-art cryptocurrency trading bot that uses ensemble methods to make trading decisions based on multiple sophisticated algorithms. Built with the latest machine learning...
Start developing and backtesting your own automated trading strategies
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...
A curated list of practical financial machine learning tools and applications.
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
A ranked list of algorithmic trading open-source libraries, frameworks, bots, tools, books, communities, education materials. Updated weekly.
Collection of notebooks and scripts related to financial engineering, quant-research and algo-trading.
Framework for developing, backtesting, and deploying automated trading algorithms and trading bots.
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistanc...