Technical Analysis library in Python on quant

• pyti

  github

  最后更新停止在2018年5月.

  This library contains various financial technical indicators that can be used to analyze data.

• Deep-Convolution-Stock-Technical-Analysis

  github

  最后更新停止在2017.7

  Use Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.

• ZigZag

  github

  最后更新停止在2017.7

  ZigZag provides functions for identifyring the peaks and valleys of a time series. Additionally, it provides a function for computing the maximum drawdown.

• candlestick-patterns

  github

• finta

  github

  FinTA(Financial Technical Analysis) is a common financial technical indicators implemented in Pandas.

  Finta supports over 80 trading indicators.

• Crypto-Signal

  homepage 网站竟然过期了（20201203）

  github

  CryptoSignal is a command line tool that automates your crypto currency Techinical Analysis (TA).

  It’s recommented installed by Docker.

  It’s a learning tool.

  Underpinning crypto-signal for most of our technical analysis is TA-Lib.

• Technical Analysis Automated

  理解Inchimoku Cloud for quant

  理解OBV能量潮指标 for quantMomentum

  • Relative Strength Index (RSI)
  • Ichimoku Cloud(Leading Spand A, Leading Span B, Conversion Line, Base Line)
  • Simple Moving Average
  • Exponential Moving Average
  • MACD
  • MFI
  • OBV
  • VWAP

• Alerts

  • SMS via Twilio
  • Email
  • Slack
  • Telegram
  • Discord

• Ta

  Homepage

  GitHub

  It is a Technical Analysis library useful to do feature engineering from financial time series datasets(Open, Close, High, Low, Volume).

  The library has implemented 42 indicators:

  To use this library you should have a financial time series dataset including Timestamp, Open, High, Low, Close and Volume columns.

  目前尚活跃（20201203）

  The library has implemented 42 indicators.

• pandas-ta

  github

  pandas technical analysis (Pandas TA) is an easy to use library that leverages the Pandas library with more than 120 Indicators and Utility functions.