Learn Algorithmic Trading

Executive Programme in Algorithmic Trading (EPAT)

Step 1

learn

  • Six months online part-time course
  • Experts and practitioners as trainers
Step 2

automate

  • Automate your own trading strategies
  • Network with data providers & brokers
Step 3

trade

  • Start your own Algo trading desk
  • Join Quant & Algo trading firms
EPAT steps

It is more than a certificate

It's more than a certificate! EPAT has added a fundamental quantitative dimension to my existing skill-sets. 

Rohit Gupta
EPAT, 2017

As seen in

EPAT Curriculum
1Python, R Programming
  • Python and R programming using OHLC stock data basic
  • Writing codes to build Quantitative indicators and Trading Strategies
  • Object Oriented Programming and useful packages in Python for Trading
  • Enables participant to implement strategies in the paper/live trading environment
  • System Architecture and Risk Management in Algorithmic Trading
  • Order Flow Management, Latency, Data Management
  • Specialization in Machine Learning & AI, cloud based execution
  • In-house technological tools available for backtesting and simulation
  • Application of statistics in predicting future stock prices and approximations of risk/reward
  • Using statistical tools in MS Excel & Python
  • Core concepts: probability, random walk, Monte Carlo simulation
  • Time series analysis and statistical parameters such as auto-correlation function, maximum likelihood estimation, Akaike Information Criterion.
  • Difference between ARCH and GARCH, Non linearity of volatility, Gaussian Mixture Models (GMM)
  • Quantitative Analysis Using Python: Compute Statistical parameters, perform regression analysis and PCA, calculate VaR
  • Characteristics of different Option Greeks and their sensitivity to different factors.
  • Option pricing models and their application in different scenarios
  • Option portfolios, Implied Volatility, Smile, Skew, and Forward volatility
  • Dispersion trading concepts, implementation and road-blocks
  • Exposure to different strategy paradigms such as statistical arbitrage, market microstructure, trend following, momentum based, market making and machine learning
  • Handle uncertainty focusing on risk management in trading
  • Strategy Analysis: In Sample and Out sample data, performance and optimization of parameters, Stop Loss and Profit taking criteria
  • Understanding of Equities Derivative Markets, ETF’s trading including arbitrage, market making and asset allocation strategies using ETFs.
  • Understanding the business environment including Regulatory environment, capital investments required for setting up an Algorithmic Trading Desk
  • Infrastructure requirements (hardware, physical, network, etc.)
  • Self-study project work under mentorship of a domain/expert
  • Project topic qualifies for area of specialization and enhanced learning
Mohammed Shamim
Hi, I'm Mohammed

EPAT grooms ambitious Algo professionals to gain that confidence and learning experience needed to kick-start their career.

Mohammed Shamim
EPAT, 2016
Venkat Giridhar
Hi, I'm Venkat

EPAT gave my career a springboard by adding value to my resume.

Venkat Giridhar
EPAT, 2014
Hiren Mewada
Hi, I'm Hiren

Excellent course and I myself really came to know more about Algo trading, algorithms and HFT.

Hiren Mewada
EPAT, 2012
Vikash Bairoliya
Hi, I'm Vikash

EPAT delivered a holistic framework to quantitative modeling and trading. Helpful faculty, a small batch size and excellent peer group were other positives.

Vikash Bairoliya
EPAT, 2012
Industry Focused

Industry Experts, Academics and Practitioners as faculty

Affordable

High value for money and opportunity to learn along with your full-time job

Dedicated Support

Live interaction with faculty, with 7-days a week support team

Hands-on

Learning by Doing, specialize in a strategy/asset class through project work

Benefits

EPAT Benefits Get Hired

Get Hired

Career cell helps participants to get placement in right kind of roles in the Quant and Finance industry

EPAT Benefits Upgrade your Skills

Upgrade your Skills

Algo/Quant and manual traders get exposed to various types of strategy paradigms in Algorithmic & Quantitative Trading

EPAT Benefits Automate your strategies

Automate your strategies

Learn to connect with brokers that offer automation and run your strategies in paper/live trading environment

EPAT Benefits Set up your business

Set up your business

Unleash the entrepreneur in you and ride the markets. Learn from the practitioners how to setup your own desk

EPAT Benefits For technocrats & coders

For technocrats & coders

Use your programming and problem solving skills in a challenging role as a quant-trader-coder

And a lot more

advisors & directors

Dr. E.P. Chan
Dr. E.P. Chan

He is the managing member of QTS Capital Management LLC, Ontario, Canada. Author of “Quantitative Trading: How to Build Your Own Algorithmic Trading Business” and “Algorithmic Trading: Winning Strategies and Their Rationale”.

Rajib Ranjan Borah
Rajib Ranjan Borah

Rajib is the Co-Founder & Director of iRage & QuantInsti. He’s the business head of iRage, which is one of the leading Algorithmic Trading players in India.

Nitesh Khandelwal
Nitesh Khandelwal

He is the co-founder & business head for QuantInsti. He also Co-Founded iRage, which today is one of the leading names in Algorithmic Trading space in India.

Anupriya Gupta
Anupriya Gupta

Anupriya adds pedagogical and behavioral analysis in content creation, customer acquisition and student engagement. Formally trained as mathematician and educator, she brings experience from Analytics and formal education system into practice at QuantInsti.

Prof. Gautam Mitra
Prof. Gautam Mitra

Internationally renowned research scientist in the field of Operational Research in general and computational optimisation and modelling in particular.

always seek knowledge

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