### Want to learn

###### Specialisation

Particular Asset class and/or Algorithmic trading strategy through the project work

###### Certification

QuantInsti's EPAT is the world’s first popular ‘Verified certification' in the Quantitative & Algorithmic Trading domain. EPAT exams are conducted at Prometric test centres globally.

###### Online Delivery

A focused learning experience consisting of practical sessions conducted through web-meetings and virtual learning environments

6 months

## The Curriculum

##### Module 1: Primer
• Basics of Algorithmic Trading: Know and understand the terminology
• Excel: Basics of MS Excel, available functions and many examples to give you a good introduction to the basics
• Basics of Python: Installation, basic functions, interactive exercises, and Python Notebook
• Options: Terminology, options pricing basic, Greeks and simple option trading strategies
• Basic Statistics including Probability Distributions: Standard Normal Distribution; Related parameters like Z-score, confidence interval and their use, and Hypothesis Testing, Covariance, Correlation and Regression and their physical significance
• MATLAB: Tutorial to get an hands-on on MATLAB
• Introduction to Machine Learning: Basics of Machine Learning for trading and implement different machine learning algorithms to trade in financial markets
• Two preparatory sessions will be conducted to answer queries and resolve doubts on Statistics Primer and Python Primer
##### Module 2: Statistics for Financial Markets
• Data Visualization: Statistics and probability concepts (Bayesian and Frequentist methodologies), moments of data and Central Limit Theorem
• Applications of statistics: Random Walk Model for predicting future stock prices using simulations and inferring outcomes, Capital Asset Pricing Model
• Modern Portfolio Theory - statistical approximations of risk/reward
##### Module 3: Advanced Statistics for Quant Strategies
• Time series analysis and statistical functions including autocorrelation function, partial autocorrelation function, maximum likelihood estimation, Akaike Information Criterion
• Stationarity of time series, Autoregressive Process, Forecasting using ARIMA
• Difference between ARCH and GARCH and Understanding volatility
##### Module 4: Python: Basics & Its Quant Ecosystem
• Data types, variables, Python in-built data structures, inbuilt functions, logical operators, and control structures
• Introduction to some key libraries NumPy, pandas, and matplotlib
• Python concepts for writing functions and implementing strategies
• Writing and backtesting trading strategies
• Two Python tutorials will be conducted to answer queries and resolve doubts on Python
##### Module 5: Market Microstructure for Trading
• Detailed understanding of ‘Orders’, ‘Pegging’, ‘Discretion Order’, ‘Blended Strategy’
• Market Microstructure concepts, order book, market microstructure for high frequency trading strategy
• Implementing Markov model and using tick-by-tick data in your trading strategy
##### Module 6: Equity, FX, & Futures Strategies
• Understanding of Equities Derivative market
• VWAP strategy: Implementation, effect of VWAP, maintaining log journal
• Different types of Momentum (Time series & Cross-sectional)
• Trend following strategies and Statistical Arbitrage Trading strategy modeling with Python
• Arbitrage, market making and asset allocation strategies using ETFs
##### Module 7: Data Analysis & Modeling in Python
• Implement various OOP concepts in python program - Aggregation, Inheritance, Composition, Encapsulation, and Polymorphism
• Back-testing methodologies & techniques and using Random Walk Hypothesis
• Quantitative analysis using Python: Compute statistical parameters, perform regression analysis, understanding VaR
• Visualizing Correlation between Financial Time Series
• Work on sample strategies, trade the Boring Consumer Stocks in Python
• Two tutorials will be conducted after the initial two lectures to answer queries and resolve doubts about Data Analysis and Modeling in Python
##### Module 8: Machine Learning for Trading
• Modeling data with AI, index and predicting next day’s closing price
• Supervised learning algorithms
• Natural Language Processing (NLP) and Sentiment Analysis
• Confusion Matrix framework for monitoring algorithm’s performance
• Model Cross Validation techniques and variable selection
• Logistic Regression to predict the conditional probability of the market direction
• Linear Discriminant Analysis for linear combinations
• Ridge Regression and Lasso Regression for prediction optimization
• Decision Trees & additive modeling
• Understand principle component analysis and back-test PCA based long/short portfolios
• How to build trading Systems while not overfitting
##### Module 9: Trading Tech, Infra, & Operations
• System Architecture of an automated trading system
• Infrastructure (hardware, physical, network, etc.) requirements
• Understanding the business environment (including regulatory environment, financials, business insights, etc.) for setting up an Algorithmic Trading desk
##### Module 10: Trading & Back-testing Platforms
• Introduction to Interactive Brokers platform and Blueshift
• Code and back-test different strategies on various platforms
• Using IBridgePy API to automate your trading strategies on Interactive Brokers platform
• Interactive Brokers Python API
##### Module 11: Portfolio Optimization & Risk Management
• Different methodologies of evaluating portfolio & strategy performance
• Risk Management: Sources of risk, risk limits, risk evaluation & mitigation, risk control systems
• Trade sizing for individual trading strategy using conventional methodologies, Kelly criterion, Leverage space theorem
##### Module 12: Options Trading & Strategies
• Options Pricing Models: Conceptual understanding and application to different strategies & asset classes
• Option Greeks: Characteristics & Greeks based trading strategies
• Implied volatility, smile, skew and forward volatility
• Sensitivity analysis of options portfolio with risk management tools
##### EPAT Project (OPTIONAL)
• Write your own working strategy starting from ideation, literature survey, data analysis, strategy formulation, backtesting, implementation code
• Mentorship under a domain expert, practitioner
• Project topics include, but not limited to, Statistical Arbitrage, Dispersion Trading, Machine Learning based Trading Strategies, Skew Trading, Volatility Smile, Forward Volatility
##### EPAT Exam
• EPAT exam is conducted at proctored centers in 80+ countries

## Who Can Benefit?

QuantInsti’s Algo trading course is aimed 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.

#### financial analyst

• Extend the passion for financial markets
• Build upon your analytical skills
• Discover a new emerging career

#### programmer

• Take up new challenges
• Leverage programming in financial markets
• Explore new lucrative career avenues

#### student

• Get mentored from the leading industry experts
• Excel and thrive in the growing FinTech domain

EPAT® provides practical training to Quants, Traders Programmers, Fund Managers, Consultants, Financial Product Developers, Researchers and Algo Trading Enthusiasts. It provides insights on the fundamentals of quantitative trading and the technological solutions for implementing them.

Each participant who is accepted in the course has a high level of intellectual curiosity, a strong interest in finance, and strong analytical skills. Although there is no specific degree requirement, most participants will have backgrounds in quantitative disciplines such as mathematics, statistics, physical sciences, engineering, operations research, computer science, finance, or economics. Participants from other disciplines should have familiarity with calculus, spreadsheets and computational problem solving.

## Learning Experience

QuantInsti offers interactive online learning experience including live lectures, tutorials, problem solving interactions with faculty. Our Algorithmic Trading courses provide 24-hour access to all recorded lectures and program materials, accessible through computer. 2 preparatory lectures have been introduced to EPAT: Lecture 1 - Python and Lecture 2 - Statistics. These are optional lectures and would be conducted 2 weeks prior to the beginning of EPAT lectures and would be extremely beneficial in establishing your base in Python and Statistics.

EPAT® live lectures are recorded and uploaded onto personalized learning portal. Each participant gets their own account, allowing him/her to access the following:

#### Why this Algo Trading Course?

QuantInsti’s Algo trading course is aimed 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.

###### Practical Exposure

Acquire the knowledge, tools & techniques used by traders in the real world

###### Expert Teaching & Support

The EPAT® faculty is an acclaimed team of academicians and professionals who are all specialists in the field

###### Career Services

Our career services and job resources become available to you the moment you begin the program and last throughout your professional career

#### Lifelong learning at QuantInsti®

We promise lifelong learning to students post EPAT® completion, which comprise of:

• Access to a network of faculty and alumni, who are practitioners and researchers in Quantitative, Algorithmic and High Frequency Trading
• Reaching out to the industry members through our online communities, LinkedIn groups
• Assistance in placement and career growth in relevant roles
• Invitation to guest lectures which include new technological innovations, training to work on new platforms, advancement in the relevant field

## success stories

Eriz Zárate

Guillermina Amorin

Jacques Joubert

Kundan Kishore

Kushal Agarwal

Marco Dibo

Maxime Fages

Naoya Ohara

Nicolò Pirozzi

## epat faculty

###### Who can apply?

QuantInsti’s Algo trading course is aimed 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.

Executive Programme in Algorithmic Trading® provides practical training to Quants, Traders, Programmers, Fund Managers, Consultants, Financial Product Developers, Researchers, and Algo Trading Enthusiasts. It provides insights on the fundamentals of quantitative trading and the technological solutions for implementing them.

Each participant who is accepted in the course has a high level of intellectual curiosity, a keen interest in finance, and has strong analytical skills. Although there is no specific degree requirement, most participants will have backgrounds in quantitative disciplines such as mathematics, statistics, physical sciences, engineering, operations research, computer science, finance, or economics. Participants from other disciplines should have familiarity with calculus, spreadsheets and computational problem solving.

Get on a call with a Counsellor
Wait for Application acceptance
Pay the fee and get started

Prior to admission, a counselling session will be conducted that will focus on understanding the strengths and weaknesses of participants. These sessions do not necessarily decide the participants’ eligibility but help counsellors assist them with informed guidance prior to enrolment.

## Schedule

We have four batches in a year. Duration of the programme is 6 months. The tentative programme start dates are:

BatchStart Date
5110 July, 2021
5209 October, 2021

Discounts are available for residents from emerging markets, contact us for more details at contact@quantinsti.com Merit Based Discount on course fees are available based on your scholarship test score. Click here to avail

## FAQ

###### Financial assistance provided to qualified applicants include but are not limited to the following:
• Merit based scholarship - QuantInsti offers scholarship to deserving candidates who score well in the test available here
• Student discounts - QuantInsti believes in investing in the future of tomorrow, the students of today. We have a discounted fee for full-time students.
• Participants from Emerging Markets - Special consideration is given to participants from Emerging Markets so that the programme is more affordable.
• Educational Loans - QuantInsti is partnered with financial institutes who provide education related loans to the Indian resident participants.
• EPAT® programme is recognized under the Financial Training Scheme (FTS) of the Institute of Banking and Finance (IBF is the national accreditation and certification agency for financial industry competency in Singapore). The FTS provides 50% funding for direct training costs subject to cap of SG\$2,000 per participant per programme. You can read more about FTS & eligibility criterion for Singapore Citizens & Singapore Permanent residents here. The funding can be claimed only when you earn the Certificate of Excellence.
###### QuantInsti has partnered with government approved NBFCs to facilitate 0% financial assistance with minimal documentation for the Indian resident participants. To apply for the assistance, you would be required to share following documents with QuantInsti:
1. First and Last Name
2. Scanned Copy of PAN Card & Aadhaar Card - This will help to generate your CIBIL score
3. Last three months pay slip (in case of a salaried employee) or last three year filed ITR (in case of self-employed)
4. Last 4 months bank statement
###### It is a simple three step process:
1. Submit your application form here.
2. Wait for your application to get accepted.
3. Pay the fees.
###### The minimum requirements to be eligible for ‘Certification of Excellence’ includes certain percentage of
• Attendance in lectures or time spent in watching the recordings
• Score in quizzes and assignments
• Score in the final examination
###### You need to have:
1. A personal computer with the minimum configuration as: Operating system such as Windows: (Windows 8, Windows 8.1, Windows 10) or Mac: Mac (v 10.10), Mac(v 10.11), Mac(v 10.12), Mac(v 10.13). Additionally, you will need some software/programming languages installed on your system in order to have hands-on experience as well as finishing the program. List of required software and the installation manuals will be shared with you before the programme starts.
2. Language skills: You should be able to understand spoken and written English well.
3. Enough time and motivation: You should be able to devote 10-15 hours on a weekly basis at the least. The more the better!
###### You can find more details on our Alumni page.
1. EPAT is accredited by CPD, UK (Continuing Professional Development, UK)
2. EPAT is recognized by IBF, Singapore (Institute of Banking and Finance) under the FTS scheme
3. QuantInsti has registered this program with GARP for Continuing Professional Development (CPD) credits. Attending this program qualifies for 30 GARP CPD credit hours. If you are a Certified Financial Risk Manager (FRM®), or Energy Risk Professional (ERP®), please record this activity in your Credit Tracker.
###### In many ways:
• The curriculum is practice oriented. It is designed by practitioners who try to ensure that you learn the concepts really well from practitioner perspective.
• During practical sessions, the faculty would ask you to work along on your machine and might even quiz you in between and interact with you personally
• We believe in data, data, data. Almost every concept is discussed around data from financial markets.
• You would need to practice a lot on your own. This will be ensured through assignments which are open-ended and are individually graded.
###### In many ways:
• During the lecture you get to interact with the faculty
• Post or before the lecture, you get to share your doubts and queries which will be resolved by the faculty
• During EPAT project work, you get to work under mentorship of a faculty member
• You can also interact with faculty through your support manager anytime!
• A dedicated Support Manager who will guide you for the entire period of six months. Your manager will resolve your doubts and keep you motivated and engaged in this new and demanding career path
• You will get advice and answers from the faculty members who are industry practitioners
• You get career assistance from the career team, you will get help in building your resume, career counselling and more. You will start receiving job postings from the very first month
• Dedicated alumni cell is available post completion to help them grow in the algo domain and network with fellow alumnus
• Life long access to updated lecture notes and videos after you complete EPAT course successfully.
###### QuantInsti provides you with two books to be referred to during the program.
• Trading and Exchanges: Market Microstructure for Practitioners - Larry Harris
• Algorithmic Trading: Winning Strategies and Their Rationale - Dr. Ernest P. Chan (Also a faculty member)
###### The total duration of the course is 6 months. It comprises of 4 parts:
• Live Lectures
• Test & Assignments
• Live Project (optional)
• Final Examination
###### QuantInsti strives to bring all possible roles in Algorithmic Trading to our participants. Some of these profiles include:
• Developer
• Quant Analyst
• Quant Researcher
• Strategist
###### Some examples of recent job opportunities & salary packages that we have shared with our participants through QuantInsti’s career cell are
• Data Scientist: INR 1.5 million per annum,
• Algo Trader: INR 800,000 per annum + incentives,
• HFT trader: up to INR 2 million per annum,
• Quant Research Analyst: INR 2 million per annum,
• Quantitative Research: AED 1,00,000 + up to 40 % incentives per annum,
###### QuantInsti provides innovation and solutions to bridge the gap between finance and technology in the changing phase of the industry. It serves individuals, businesses, exchanges, data providers, brokers and other technology providers to achieve their common goal of excelling in Quant & Algo trading. QuantInsti provides both paid and free services to the industry.
• Dedicated programme for professional & career growth: EPAT®
###### EPAT® certification & placement services allow motivated individuals to build an exciting career in Algorithmic & Quantitative trading.
• Learn interactively at your own pace: Quantra®
###### Quantra is an e-learning portal that offers short, self-paced, interactive courses in topics such as Python for Trading, Machine Learning, Options Trading and many more, allowing a participant and businesses to pick and choose the skill set(s) they want to specialize into.
• Backtesting platform with historical data: Blueshift
###### Free Services
• Webinars
• Blogs, tutorials and trading models
• Algorithmic trading workshops, events and modules for exchanges and industry