Statistics for topic algorithmic-trading
RepositoryStats tracks 592,323 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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Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
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.
Stock/Crypto Exchange Simulator for Analyzing the Interaction between multiple Trading Agents.
Open-source Rust framework for building event-driven live-trading & backtesting systems
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.
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistanc...
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.
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...
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
This is a hub for the most recent papers in HFT/Algo trading.
Framework for developing, backtesting, and deploying automated trading algorithms and trading bots.
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 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...