Alternatives and similar repositories for talipp

Users that are interested in talipp are comparing it to the libraries listed below

• jrmeier / fast-trade
  low code backtesting library utilizing pandas and technical analysis indicators
  ☆481Updated 2 months ago
• facioquo / stock-indicators-python
  Stock Indicators for Python. Maintained by @LeeDongGeon1996
  ☆325Updated last week
• backtrader2 / backtrader
  Python Backtesting library for trading strategies
  ☆264Updated last year
• AsyncAlgoTrading / aat
  Asynchronous, event-driven algorithmic trading in Python and C++
  ☆734Updated 8 months ago
• TechfaneTechnologies / pytvlwcharts
  An Experimental Python Wrapper For Tradingview's Lightweight-Charts To Be Used In Notebook Environments (Google Colab).
  ☆363Updated last year
• gbeced / basana
  A Python async and event driven framework for algorithmic trading, with a focus on crypto currencies.
  ☆750Updated last week
• jmrichardson / tuneta
  Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models
  ☆445Updated last year
• day0market / support_resistance
  Small package that helps to find support and resistance levels and plot them on chart
  ☆447Updated 2 years ago
• mementum / bta-lib
  Technical Analysis library in pandas for backtesting algotrading and quantitative analysis
  ☆476Updated 3 years ago
• neurotrader888 / TechnicalAnalysisAutomation
  ☆477Updated 2 years ago
• letianzj / quanttrader
  Backtest and live trading in Python
  ☆612Updated last year
• quarkfin / qf-lib
  Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integr…
  ☆673Updated last week
• chrism2671 / PyTrendFollow
  PyTrendFollow - systematic futures trading using trend following
  ☆417Updated 7 years ago
• rolling-panda-san / notebooks
  Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
  ☆621Updated this week
• GregoryMorse / trendln
  Support and Resistance Trend lines Calculator for Financial Analysis
  ☆677Updated 4 years ago
• bfolkens / py-market-profile
  A library to calculate Market Profile (aka Volume Profile) for financial data from a Pandas DataFrame.
  ☆377Updated last year
• rgaveiga / optionlab
  A Python library for evaluating option trading strategies.
  ☆405Updated 3 months ago
• happydasch / btplotting
  btplotting provides plotting for backtests, optimization results and live data from backtrader.
  ☆365Updated 3 months ago
• amor71 / LiuAlgoTrader
  Framework for algorithmic trading
  ☆861Updated last year
• akurgat / automating-technical-analysis
  Using data analytics alongside popular trading strategies and indicators, to identify best trading actions based solely on the price acti…
  ☆364Updated 5 months ago
• stefan-jansen / pyfolio-reloaded
  Portfolio and risk analytics in Python
  ☆510Updated this week
• abbass2 / pyqstrat
  A fast, extensible, transparent python library for backtesting quantitative strategies.
  ☆368Updated last year
• Heerozh / spectre
  GPU-accelerated Factors analysis library and Backtester
  ☆731Updated 3 months ago
• BennyThadikaran / stock-pattern
  A Python CLI tool to scan, detect, and plot stock chart patterns
  ☆287Updated last week
• highfestiva / finplot
  Performant and effortless finance plotting for Python
  ☆1,050Updated 2 months ago
• keithorange / PatternPy
  📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortles…
  ☆368Updated last year
• fja05680 / pinkfish
  A backtester and spreadsheet library for stocks and ETFs
  ☆288Updated 3 months ago
• gerrymanoim / exchange_calendars
  Calendars for various securities exchanges.
  ☆534Updated 3 weeks ago
• coding-kitties / investing-algorithm-framework
  Framework for developing, backtesting, and deploying automated trading algorithms and trading bots.
  ☆490Updated this week
• jbn / ZigZag
  Python library for identifying the peaks and valleys of a time series.
  ☆467Updated last year