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Statistical Arbitrage Trading

3388 Learners
3.5 hours
Use statistical concepts such as co-integration and the ADF test to identify trading opportunities. Learn to create statistical arbitrage strategies (stat arb) using spreadsheets and Python. Backtest the strategy on commodities market data. This is one of the most popular quantitative trading strategies.
Level
Intermediate
Author
Multi Commodity Exchange
Price Lifetime Access Limited Time Offer

₹1425/-₹5699/-

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  • Live Trading
  • Learning Track
  • Prerequisites
  • Syllabus
  • About author
  • Testimonials
  • Faqs

Apply Statistical Arbitrage Strategies

  • Create and backtest your own pairs trading strategy in Python and Microsoft Excel
  • Choose commodity pairs suitable for the strategy
  • Explain the difference between co-integration and correlation
  • Analyze co-integration test results
  • Paper trade and analyze the strategies and apply in live markets without any installations or downloads
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Skills Required for Stat Arb Trading

learning track 1

This course is a part of the Learning Track: Algorithmic Trading for Beginners

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Need help? Write to us at quantra@quantinsti.com or call us at +91 8450963428.

Course Features

  • Community
    Community

    Faculty Support on Community

  • Interactive Coding Exercises
    Interactive Coding Exercises

    Interactive Coding Practice

  • Trade & Learn Together
    Trade & Learn Together

    Trade and Learn Together

  • Get Certified
    Get Certified

    Get Certified

Prerequisites

If you have a basic understanding of financial markets related terminology such as buy, sell, margin, it would be easier to grasp the concepts covered. If you have used MS Excel spreadsheets, you might be able to replicate the backtesting model quickly. If you want to be able to code the strategies in Python, experience in working with functions and conditional statements would be beneficial.

Statistical Arbitrage Trading Course

about author

Multi Commodity Exchange
Multi Commodity Exchange
The Multi Commodity Exchange of India Limited (MCX), India’s first listed exchange, is a state-of-the-art, commodity derivatives exchange that facilitates online trading of commodity derivatives transactions, thereby providing a platform for price discovery and risk management. The Exchange, which started operations in November 2003, operates under the regulatory framework of Securities and Exchange Board of India (SEBI).
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    Data & Strategy Models

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Faqs

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