Mizar
  • Whitepaper
    • Abstract
    • C-Mizar
      • Problem
      • Solution
      • Opportunity
      • Product
        • Marketplace
        • DCA Bots
        • API Bots
        • Smart Trading
        • Paper Trading
        • Portfolio Manager
    • D-Mizar
      • Problem
      • Solution
      • Opportunity
      • Product
        • Contract Sniffer
        • Sniper Bot
    • $MZR Token
      • Use Cases
      • Token Metrics
      • Vesting Schedule and Release
      • FAQ
    • Roadmap
      • Supersonic Phase (C-Phase)
      • Hypersonic Phase (D-Phase)
    • Team
  • SDK
    • DCA Bots
      • DCA Bot SDK
      • DCA Bot - TradingView
    • API Bots
      • API Trading SDK
      • API Trading - TradingView
  • Mizar AI (on hold)
    • Mizar AI (on hold)
    • Data Sources
    • Model
      • Downsampling with CUSUM Filter
      • Average Uniqueness
      • Sample Weights
      • Sequentially Bootstrapped Bagging Classifier
      • Metalabeling
      • Bet Sizing
      • Combinatorial Purged Cross Validation
    • Structural Breaks
    • Transformations
      • Labeling Methods
      • Technical Analysis Features
      • Microstructural Features
    • Strategy Backtesting
    • Strategy Deployment
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  1. Mizar AI (on hold)
  2. Transformations

Technical Analysis Features

PreviousLabeling MethodsNextMicrostructural Features

Last updated 4 years ago

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In financial machine learning, it is very common to build features based on technical analysis. These features are typically based on candlestick bar information, such as the open, high, low, close, and volume. Mizar Labs has wrapped the popular package (150+ indicators), such that these technical indicators can be easily used within the Mizar API to build models.

TA-Lib