Alternatives and similar repositories for jupyter-quant

Users that are interested in jupyter-quant are comparing it to the libraries listed below

• ArturSepp / QuantInvestStrats
  Quantitative Investment Strategies (QIS) package implements Python analytics for visualisation of financial data, performance reporting, …
  ☆357Updated this week
• rolling-panda-san / notebooks
  Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
  ☆602Updated this week
• hudson-and-thames / arbitrage_research
  Jupyter Notebook examples on how to use the ArbitrageLab - pairs trading - python library.
  ☆115Updated last year
• jo-cho / Technical_Analysis_and_Feature_Engineering
  Feature Engineering and Feature Importance in Machine Learning for Financial Markets
  ☆184Updated last year
• sirnfs / OptionSuite
  Option and stock backtester / live trader
  ☆259Updated 5 months ago
• hudson-and-thames / backtest_tutorial
  ☆138Updated last year
• financialnoob / pairs_trading
  experiments with pair trading
  ☆297Updated 5 months ago
• rgaveiga / optionlab
  A Python library for evaluating option trading strategies.
  ☆384Updated last month
• KVignesh122 / AssetNewsSentimentAnalyzer
  A sentiment analyzer package for financial assets and securities utilizing GPT models.
  ☆142Updated 10 months ago
• marketneutral / pairs-trading-with-ML
  ☆212Updated 7 years ago
• QuantConnect / HandsOnAITradingBook
  Code repository for the book "Hands On AI Trading with Python, QuantConnect, and AWS."
  ☆169Updated last week
• hashABCD / opstrat
  Option visualization python package
  ☆152Updated last year
• psemdel / py-trading-bot
  Trading-bot in python using django, vertorbt lib and interactive-brokers
  ☆175Updated 9 months ago
• stefan-jansen / alphalens-reloaded
  Performance analysis of predictive (alpha) stock factors
  ☆421Updated 8 months ago
• KidQuant / Pairs-Trading-With-Python
  This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equ…
  ☆424Updated last year
• macrosynergy / macrosynergy
  Macrosynergy Quant Research
  ☆137Updated this week
• quarkfin / qf-lib
  Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integr…
  ☆585Updated last week
• mcf-long-short / ibkr-options-volatility-trading
  Volatility trading using Long and Short Straddle options strategies on Interactive Broker using Yahoo Finance and TWS API
  ☆243Updated 4 months ago
• letianzj / quanttrader
  Backtest and live trading in Python
  ☆598Updated 11 months ago
• alkalescent / hyperdrive
  algorithmic trading using machine learning
  ☆147Updated last week
• jmrichardson / tuneta
  Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models
  ☆438Updated last year
• tradologics / AlgoTradingSummit
  Videos, slides, and code made available by speakers of the 2021's AlgoTrading Summit
  ☆126Updated 3 years ago
• jktis / Trade-Classification-Algorithms
  To classify trades into buyer- and seller-initiated.
  ☆144Updated 2 years ago
• tobiasbrodd / backtester
  An event-driven backtester
  ☆106Updated 5 years ago
• quantbelt / ib_fundamental
  Interactive Brokers Fundamental data for humans
  ☆69Updated 8 months ago
• coding-kitties / investing-algorithm-framework
  Framework for developing, backtesting, and deploying automated trading algorithms and trading bots.
  ☆442Updated this week
• stefan-jansen / pyfolio-reloaded
  Portfolio and risk analytics in Python
  ☆475Updated 8 months ago
• robcarver17 / pysystemtrade_examples
  Examples using pysystemtrade for my blog qoppac.blogspot.com
  ☆243Updated 7 years ago
• zazhang / ep-chan-book-algo-trading
  Recreate EP Chan algo trading book strategies
  ☆404Updated 6 years ago
• marcdemers / py_vollib_vectorized
  A vectorized implementation of py_vollib, that supports numpy arrays and pandas Series and DataFrames.
  ☆132Updated 5 months ago