Trending repositories for topic quantitative-finance
[🔥updating ...] AI 自动量化交易机器人 AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
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...
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
A curated list of practical financial machine learning tools and applications.
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.
Python library for portfolio optimization built on top of scikit-learn
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
A package that lets you create TradingView screeners in Python
A list of companies of possible interest for mathematicians (or related) that are looking for a job in quantitative finance in Zurich.
量化投资学习资料整理：学界（行为金融、投资者情绪、常用程序函数，etc）；业界（公开资料整理，数据源，回测框架，卖方金工研报及复现，量化研究学习路线，etc）
Mining technical factors based on symbolic regression via genetic algorithm
Conditional Value-at-Risk (CVaR) portfolio optimization and Entropy Pooling views / stress-testing in Python.
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
FinHack®，一个易于拓展的量化金融框架，它在当前版本中集成了数据采集、因子计算、因子挖掘、因子分析、机器学习、策略编写、量化回测、实盘接入等全流程的量化投研工作。
A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.
stock股票.获取股票数据,计算股票指标,识别股票形态,综合选股,选股策略,股票验证回测,股票自动交易,支持PC及移动设备。
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
Python library for portfolio optimization built on top of scikit-learn
[🔥updating ...] AI 自动量化交易机器人 AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
Developing Options Trading Strategies using Technical Indicators and Quantitative Methods
Backtesting and Trading Bots Made Easy for Crypto, Stocks, Options, Futures, FOREX and more
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
Courses, Articles and many more which can help beginners or professionals.
Indicator is a Golang module providing various stock technical analysis indicators for trading.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
[🔥updating ...] AI 自动量化交易机器人 AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
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.
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Tradin...
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Python library for portfolio optimization built on top of scikit-learn
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
量化投资学习资料整理：学界（行为金融、投资者情绪、常用程序函数，etc）；业界（公开资料整理，数据源，回测框架，卖方金工研报及复现，量化研究学习路线，etc）
量化投资学习资料整理：学界（行为金融、投资者情绪、常用程序函数，etc）；业界（公开资料整理，数据源，回测框架，卖方金工研报及复现，量化研究学习路线，etc）
A package that lets you create TradingView screeners in Python
The ultimate guide to landing a job or internship in quantitative finance.
Repo for code examples in Quantitative Finance with Python by Chris Kelliher
A list of companies of possible interest for mathematicians (or related) that are looking for a job in quantitative finance in Zurich.
Material for the course "Time series analysis with Python"
FinHack®，一个易于拓展的量化金融框架，它在当前版本中集成了数据采集、因子计算、因子挖掘、因子分析、机器学习、策略编写、量化回测、实盘接入等全流程的量化投研工作。
Mining technical factors based on symbolic regression via genetic algorithm
Python library for portfolio optimization built on top of scikit-learn
Detect trend in time series, drawdown, drawdown within a constant look-back window , maximum drawdown, time underwater.
Quantitative Investment Strategies (QIS) package implements analytics for visualisation of financial data, performance reporting, analysis of quantitative strategies.
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 insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
[🔥updating ...] AI 自动量化交易机器人 AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
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.
stock股票.获取股票数据,计算股票指标,识别股票形态,综合选股,选股策略,股票验证回测,股票自动交易,支持PC及移动设备。
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Tradin...
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
Collection of notebooks about quantitative finance, with interactive python code.
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
A simple Python package for optimizing investment portfolios using historical return data from Yahoo Finance. Users can easily determine the optimal portfolio allocation among a given set of tickers b...
Quantitative Investment Strategies (QIS) package implements analytics for visualisation of financial data, performance reporting, analysis of quantitative strategies.
Material for the course "Time series analysis with Python"
A package that lets you create TradingView screeners in Python
量化投资学习资料整理：学界（行为金融、投资者情绪、常用程序函数，etc）；业界（公开资料整理，数据源，回测框架，卖方金工研报及复现，量化研究学习路线，etc）
The ultimate guide to landing a job or internship in quantitative finance.
A curated list of practical financial machine learning tools and applications.
stock股票.获取股票数据,计算股票指标,识别股票形态,综合选股,选股策略,股票验证回测,股票自动交易,支持PC及移动设备。
Collection of notebooks and scripts related to financial engineering, quant-research and algo-trading.
Conditional Value-at-Risk (CVaR) portfolio optimization and Entropy Pooling views / stress-testing in Python.
FinHack®，一个易于拓展的量化金融框架，它在当前版本中集成了数据采集、因子计算、因子挖掘、因子分析、机器学习、策略编写、量化回测、实盘接入等全流程的量化投研工作。
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
Repo for code examples in Quantitative Finance with Python by Chris Kelliher
This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equity markets: Pairs Trading.
A list of companies of possible interest for mathematicians (or related) that are looking for a job in quantitative finance in Zurich.
Python library for portfolio optimization built on top of scikit-learn
量化投资学习资料整理：学界（行为金融、投资者情绪、常用程序函数，etc）；业界（公开资料整理，数据源，回测框架，卖方金工研报及复现，量化研究学习路线，etc）
A simple Python package for optimizing investment portfolios using historical return data from Yahoo Finance. Users can easily determine the optimal portfolio allocation among a given set of tickers b...
The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on the qlib package.
Material for the course "Time series analysis with Python"
Collection of notebooks and scripts related to financial engineering, quant-research and algo-trading.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
[🔥updating ...] AI 自动量化交易机器人 AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
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.
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Tradin...
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
stock股票.获取股票数据,计算股票指标,识别股票形态,综合选股,选股策略,股票验证回测,股票自动交易,支持PC及移动设备。
Python library for portfolio optimization built on top of scikit-learn
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
Collection of notebooks about quantitative finance, with interactive python code.
A package that lets you create TradingView screeners in Python
Implemented the Avellaneda-Stoikov market-making strategy in an automated trading algorithm. Completed as part of the Optiver Ready Trader Go competition.
量化投资学习资料整理：学界（行为金融、投资者情绪、常用程序函数，etc）；业界（公开资料整理，数据源，回测框架，卖方金工研报及复现，量化研究学习路线，etc）
stock股票.获取股票数据,计算股票指标,识别股票形态,综合选股,选股策略,股票验证回测,股票自动交易,支持PC及移动设备。
Conditional Value-at-Risk (CVaR) portfolio optimization and Entropy Pooling views / stress-testing in Python.
Collection of notebooks and scripts related to financial engineering, quant-research and algo-trading.
Quantitative Investment Strategies (QIS) package implements analytics for visualisation of financial data, performance reporting, analysis of quantitative strategies.
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
TorchQuantum is a backtesting framework that integrates the structure of PyTorch and WorldQuant's Operator for efficient quantitative financial analysis.
The ultimate guide to landing a job or internship in quantitative finance.
Mining technical factors based on symbolic regression via genetic algorithm
FinHack®，一个易于拓展的量化金融框架，它在当前版本中集成了数据采集、因子计算、因子挖掘、因子分析、机器学习、策略编写、量化回测、实盘接入等全流程的量化投研工作。
Find your trading, investing edge using the most advanced web app for technical and fundamental research combined with real time sentiment analysis.