Statistics for topic algorithmic-trading
RepositoryStats tracks 518,986 Github repositories, of these 175 are tagged with the algorithmic-trading topic. The most common primary language for repositories using this topic is Python (89). Other languages include: Jupyter Notebook (28)
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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...
Framework for developing, backtesting, and deploying automated trading algorithms and trading bots.
Python framework for quantitative financial analysis and trading algorithms on decentralised exchanges
Indicator is a Golang module providing various stock technical analysis indicators for 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 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...
Python framework for quantitative financial analysis and trading algorithms on decentralised exchanges
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...
X-Trend: Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies
Framework for developing, backtesting, and deploying automated trading algorithms and trading bots.
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.
Seamless Finance: Docker-Deployed APIs for Smart Investments. [WORK IN PROGRESS]
X-Trend: Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies
Automated, open source crypto trading and backtesting platform
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistanc...
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 curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
Collection of notebooks and scripts related to financial engineering, quant-research and algo-trading.
Automated, open source crypto trading and backtesting platform