The Executive Programme in Algorithmic Trading (EPAT)


The Executive Programme in Algorithmic Trading (EPAT) at QuantInsti provides high-level training for individuals working in, or intending to move into the buy or sell-side of business focusing on derivatives, quantitative trading, electronic market-making or trading related technology and risk management.


  • Reshape the concept and knowledge of essential data available to develop trading algorithms and systems
  • Create and implement trading strategies on different asset classes
  • Perform back and forward testing
  • Inspire traders towards a successful trading career by focussing on derivatives, quantitative trading, electronic market-making or trading related technology and risk management


  • Covers all aspects of theory and practice of quantitative tools, products and methods
  • Enables high-achieving capital market professionals and individuals interested in learning about markets to attain benefits and networking power
  • Provides a unique chance to its participants to work under the mentorship of world-class faculty for hands-on training in designing and implementing of advanced algorithmic trading strategies on state-of- the-art tools and platforms

After successful completion of the course students will receive a certificate facilitated by QuantInsti.To see a sample of the certificate Click here

Topics Covered

  • Introduction to Algorithmic Trading & Systems
  • Introduction to Statistics
  • Options Derivatives & Risk Management
  • Statistics with R
  • Advance Statistics
  • Python Basics
  • Algorithmic Trading Strategies with Python
  • Strategy Building in Equities
  • Statistical Arbitrage
  • Working with HFT Data &Optimizations
  • Trend Following Trading Strategies with Automation
  • Machine Learning based Trading Strategies
  • Market Microstructure
  • Algorithmic Trading Desk Operations Management

Intended Participants

The Executive Programme in Algorithmic Trading (EPAT) is  designed strategically to accept participants with high intellectual curiosity possessing strong interest in finance and have analytical skills. Although there is no specific degree requirement most participants joining the program belong to various quantitative disciplines such as mathematics, statistics, physical sciences, engineering, operational research, computer science, finance or economics. Participants from other disciplines should be familiar with calculus, spreadsheets and computational problem solving, if they wish to pursue EPAT.


  • 100 hours of live lectures
  •  200 hours of self study

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