Statistics for topic algorithmic-trading
RepositoryStats tracks 584,797 Github repositories, of these 190 are tagged with the algorithmic-trading topic. The most common primary language for repositories using this topic is Python (97). Other languages include: Jupyter Notebook (29)
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A curated list of practical financial machine learning tools and applications.
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.
Start developing and backtesting your own automated trading strategies
Framework for developing, backtesting, and deploying automated trading algorithms and trading bots.
A ranked list of algorithmic trading open-source libraries, frameworks, bots, tools, books, communities, education materials. Updated weekly.
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
A curated list of practical financial machine learning tools and applications.
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...
Start developing and backtesting your own automated trading strategies
A ranked list of algorithmic trading open-source libraries, frameworks, bots, tools, books, communities, education materials. Updated weekly.
Framework for developing, backtesting, and deploying automated trading algorithms and trading bots.
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
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 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
Seamless Finance: Docker-Deployed APIs for Smart Investments. [WORK IN PROGRESS]
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.
A curated list of practical financial machine learning tools and applications.
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.
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistanc...
Framework for developing, backtesting, and deploying automated trading algorithms and trading bots.