Specialisation

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

Certification

Assessment comprises of assignments, quiz, project work, and attendance. On successful completion, participants will receive a Certificate from QuantInsti Quantitative Learning Pvt Ltd

Online Delivery

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

Duration

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
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, Non linearity of volatility, Gaussian Mixture Models (GMM)
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
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
Module 8: Machine Learning for Trading
  • Modeling data with AI, index and predicting next day’s closing price
  • Supervised learning algorithms
  • 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
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 Quantiacs
  • Code and back-test different strategies on Quantiacs
  • Quantiacs toolbox & strategy analysis using Python
  • Using IBridgePy API to automate your trading strategies on Interactive Brokers platform
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
  • Dispersion trading: Concept, implementation and road-blocks
  • Sensitivity analysis of options portfolio with risk management tools
Module 13: R for Quantitative Trading (OPTIONAL)
  • R: Concepts, data types, statistical functions, graphs, fetching data from online platforms
  • Programming conceptualization and implementation, useful tips while working with big data sets
  • Build a back testing model using QuantStrat on R
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

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.

day trader

day trader

  • Automate your trading strategies
  • Learn advanced trading strategies
  • Learn advanced risk management
financial analyst

financial analyst

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

programmer

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

student

  • Head start in algorithmic and quant trading industry
  • 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.

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

Live & Recorded lectures
Lecture notes, exercises, additional reading material
Sample code and spreadsheets
Support team access to resolve your queries on priority

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
  • Access to the updated EPAT content

success stories

Eriz Zárate

Eriz Zárate

Guillermina Amorin

Guillermina Amorin

Jacques Joubert

Jacques Joubert

Kundan Kishore

Kundan Kishore

Kushal Agarwal

Kushal Agarwal

Marco Dibo

Marco Dibo

Maxime Fages

Maxime Fages

Naoya Ohara

Naoya Ohara

Nicolò Pirozzi

Nicolò Pirozzi

epat faculty

EPAT faculty - Anil Yadav
EPAT faculty - Dr. Arnav A. Sheth
EPAT faculty - Brian Christopher
EPAT faculty - Dr. Ernest P. Chan
EPAT faculty - Eric Hamer
EPAT faculty - Dr. Euan Sinclair
EPAT faculty - Gaurav Raizada
EPAT faculty - Dr. Hui Liu
EPAT faculty - Ishan Shah
EPAT faculty - Nitesh Khandelwal
EPAT faculty - Nitin Aggarwal
EPAT faculty - Prodipta Ghosh
EPAT faculty - Rajib Ranjan Borah
EPAT faculty - Dr. Thomas Starke
EPAT faculty - Varun Divakar
EPAT faculty - Vivek Krishnamoorthy
EPAT faculty - Dr. Yves J. Hilpisch

epat admission

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.

Admission Steps
Send your Application
Get on a call with a Counsellor
Wait for Application acceptance
Pay the fee and get started
Admission Process

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.

Important Dates
EPAT calendar

Schedule

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

BatchStart Date
415th Jan 2019
426th Apr 2019
436th Jul 2019
447th Sep 2019

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

For the EPAT programme batch starting in October, 2018, the standard fee is $4999. For Indian resident participants the discounted fee is ₹199,449 (plus taxes). The updated fees details are available here. Qualified applicants are provided with financial assistance and flexible payment plans.
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 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 $2,000 per participant per programme. You can read more about FTS & eligibility criterion for Singapore Citizens & Singapore Permanent residents here.
Get in touch with our programme counselors here.
It is an online test comprising of college level questions from relevant disciplines: Statistics, Financial Markets, Options, and Programming. For high scorers, merit based discount is applicable to their EPAT fees. You can take the test here.
It is a simple three step process:
  1. Submit you application form here.
  2. Wait for your application to get accepted.
  3. Pay the fees.
Soon after the successful receipt of your EPAT fees & acceptance, you are given access to the learning management system (LMS portal) and your EPAT journey begins!
Before admission, we offer to facilitate a one-on-one counselling session that will focus on understanding the strengths and weaknesses of the participant. These sessions do not necessarily decide the participants’ eligibility but help counsellors assist them with informed guidance prior to enrolment.
We provide an opportunity to clear all your doubts about the programme prior to enrollment. Also, you get access to a dedicated team support even before your EPAT programme starts. Therefore, we follow a no refund policy.
Yes, you can apply. College students can benefit from EPAT by making themselves “more recruitable” with the required practical skills in the financial markets domain. EPAT alumni include college students who bagged good roles after successful completion of their college degree and EPAT.
Please note that while QuantInsti offers lifetime placement services to all EPAT alumni, it does not guarantee any placements.
QuantInsti offers student discounts to all full-time students, which can be availed by sharing the valid college ID proof and other required documents.
Send us your details by filling the application form here and we will arrange a counselling call for you.
Traders and financial market professionals who don’t have programming experience, can benefit & prepare themselves for their EPAT journey with the help of the primer content shared upon your successful enrollment. This is a self-study, interactive module which helps you code, understand basics and prepare yourself for the classroom sessions which cover advance and complex concepts as well. The primer module also contains a test which helps participants assess their learning.
Yes, you can apply. If you are from engineering or quantitative sciences background, you might already have some basic exposure to the skills required for Algorithmic trading domain. To check your eligibility in EPAT, apply for the scholarship test here. EPAT counsellors will get in touch with you and guide you further.
For beginners in Quantitative domain, EPAT offers primer modules on Statistics, Econometrics, Options, Financial markets, Excel computation and Python programming along with assessment tests in each of these categories.
Historically, we have been running 4 batches of EPAT in a year.
The updated dates and fees related information is available here.
Although, the course duration is of six months, you get more time for self-study and prepare for the course if you enroll early.
The enrollment for a batch starts around four months prior to the actual programme start date. As soon as you enroll successfully, you are provided with access to the student portal where you start with the primer content. You prepare on topics like Statistics, Econometrics, Options, Financial markets basics, Excel computation and Python programming.
From the batch starting date till batch closing date, you will get a period of six months to attend lectures, complete assignments, tests, project work and take the final examination.
Before the starting of a batch or/and during the first month, the primer topics in the fields of Statistics, Econometrics, Options, Financial markets basics, Excel computation and Python programming are covered. There are short tests on each of these topics which allow participants to test their knowledge in these fields. The first month is on introductory topics in Algorithmic Trading such as basic statistics, programming basics and understanding of order book & execution strategies, so that a strong foundation is laid for the rest of the programme.
Advanced topics include time series analysis, machine learning in trading, event-based execution, market making, equities and ETF trading based strategies, market microstructure, event driven backtesting, trading with mixture models among others. Different programming languages and tools used in the programme include Excel, R, Python, and Matlab. The programme allows participants to specialize in an asset class/strategy paradigm through project work which includes working under a trader’s mentorship. To receive the detailed curriculum, please do write to us at sales@quantinsti.com.
Typically 8-12 hours of self study, along with 6-8 hours of live lectures are required weekly to do well in the programme.
Your dedicated Support Manager will help you throughout the programme to ensure that you do not lag behind. Even if it happens, then depending on the completion date, you may choose the self-paced learning option available with a few months of extension. If you meet the minimum criterion for certification, you might be given the Certification of Participation in case you do not pass the final examination.
You can apply for a batch defer to a later one, before the starting date of your enrolled batch. If your application is complete along with all required documents and it fulfills the required criteria, you could be moved to a later batch.
The course participants who complete the coursework along with the final EPAT exam successfully are awarded ‘Certification of Excellence’. In case a participant is not able to clear the exam due to any reason but has completed most of the course work, (s)he would be awarded with a ‘Certification of Participation’.
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
EPAT Project is practical, self-driven, strategy creation or business related research work that participants carry out under mentorship of the respective domain expert. The project work is optional and carries no weightage in the final score. However, it serves as an excellent opportunity for the driven and motivated candidates to specialize in an asset class or strategy paradigm by working with relevant data and quant platform(s). Collaborative project work allows participants to work together with fellow classmates.
You will be required to work on different platforms and softwares in the programme. Most of these platforms and softwares are either open-sourced or their free/demo versions are available for EPAT participants. You would not be required to purchase any product for learning purposes. QuantInsti doesn’t sell or endorse any product used in the programme. It is only recommended for learning purposes.
You will be taught different strategy paradigms by experts in their domains. QuantInsti does not claim to offer ‘profitable strategies’. EPAT aims to deliver the concepts & advanced techniques to create various types of Quantitative Strategies.
EPAT curriculum includes topics on business environment and setting up on your trading desk in which participants get to interact live with faculty and experts who have domestic and international experience in running Algorithmic & Quantitative trading, including HFT business. The participants are exposed to the dynamics involved in setting up an algorithmic trading desk.
You need to have:
  1. A personal computer with the minimum configuration as: Operating system such as Windows: Windows Vista, Windows 7, Windows 8, Windows 8.1, Windows 10) or Mac: Mac (v 10.7), Mac (v 10.7), Mac (v 10.8), Mac (v 10.9), Mac (v 10.10). Additionally you will need some softwares/programming languages installed on your system in order to have hands-on experience as well as finishing the program. List of required softwares 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!
Career Assistance: Continual career guidance from the experts! One of the EPATians got placed after 6 years of completing EPAT.
Lifelong learning content: EPAT alumni keep themselves up-to-date with the latest EPAT content curated by the experts.
Ancillary resources and services (Quantra, Blueshift): EPAT alumni are given access to ancillary services including access to trading platform, special discounts on quantitative trading related events & resources, invitations to conferences, sometimes exclusively!
Access to Quant network: Opportunity to connect with EPATians from 60+ countries, helping to create a global network of Quants and Algo traders. Country specific meetups are arranged for participants/alumni and faculty to get together occasionally.
Exclusive Invites to Webinars and Workshops for EPAT alumni: They attend the Guest lectures taken by industry stalwarts.
You can find more details on our Achievers page.
Yes, you can attend a few classroom sessions in Mumbai, India, when the concerned faculty is based in Mumbai. Since most of the faculty members are located outside Mumbai, even if you are present in the QuantInsti classroom, you will be attending the lecture online. The weekly announcements mentions about the sessions happening in Mumbai.
Yes, you can attend the sessions on the go using the required apps on smartphones and tablets. But we recommend attending sessions on your laptop/desktop as most of the sessions are hands-on.
It is 100% online and doesn’t require any physical presence.
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.
No, you will not trade in live markets during the lecture hours or in the classroom sessions. However, you will be taught to paper trade and experts will share nuances that differ paper and live trading environment. When you take your strategies live and have doubts, as EPAT participant/alumni, you can get the required guidance from the faculty.
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
  • We will share with you additional links & content to further enhance your learning
  • 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 three books to be referred to during the program.
  • Python for Finance - Dr. Yves Hilpisch (Also a faculty member)
  • Trading and Exchanges: Market Microstructure for Practitioners - Larry Harris
  • Algorithmic Trading: Winning Strategies and Their Rationale - Ernest P. Chan (Also a faculty member)
Before starting EPAT, we provide primer modules to give you a head start and familiarize you with basics concepts and tools used during the program. We also share additional links & content to further enhance your learning.
The total duration of the course is 6 months. It comprises of 4 parts:
  • Live Lectures
  • Test & Assignments
  • Live Project (optional)
  • Final Examination
Each lecture would ideally be of around 3 hours in duration, with two lectures in a week. The lectures take place over the weekends. To receive the detailed curriculum, please do write to us at sales@quantinsti.com.
We have a dedicated in-house career cell that addresses any career related queries. The career cell receives job openings from 90+ placement partner firms from different countries.
Apart from sharing job opportunities, career cell conducts resume strengthening trainings, mock interviews, and provides you with sample assignment questions to prepare you for selection procedure. Placement assistance starts from the very first month and continues post course completion.
Short answer: No. We give placement assistance to all interested participants and alumni and try our best to find the appropriate match, however we don't guarantee getting a job, as it depends on many factors including but not limited to participants’ skillsets, past experience, performance in interview among others.
We do have placement partner firms in various parts of the world. We see most opportunities coming from US, India, Singapore, and Hong Kong.
QuantInsti thrives to bring all possible roles in Algorithmic Trading to our participants. Some of these profiles include:
  • Developer
  • Quant Analyst
  • Quant Researcher
  • Trader
  • Strategist
You can read more about this here.
Knowing programming languages and coding is required for backtesting & automating your strategies hence candidates from coding background have an advantage. Companies are on a lookout for candidates with exposure to technology and finance both.The most suitable profile for them is a Quant Developer or Coder, however they can explore other roles as well.
Yes, we get internship, full-time employment, & freelancing opportunities from our partnered firms.
We see a few candidates placed almost every month. Some of these details are shared in our monthly newsletters. Please do write to us at sales@quantinsti.com if you want more information.
Job opportunities and offers depend on a number of factors such as educational background, Graduate/Post Graduate College/University, Certifications/Internships/Projects, past work experience, etc. Companies are generally looking for someone who has exposure to Tech & Finance background both.
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,
  • Trader: SGD 120,000 + performance linked bonus per annum,
  • Trader Derivatives: HKD 384,000 per annum + performance linked bonus
We are currently partnered with 90+ companies, that includes Algo trading/HFT firms, investment banks, trading and brokerage houses, consulting companies. A partial list is available here.
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: Quantra Blueshift
You can code & backtest your strategies for the Indian & US markets (on daily & minute level data) with Quantra Blueshift.
Free Services
  • Webinars
  • Blogs, tutorials and trading models
  • Algorithmic trading workshops, events and modules for exchanges and industry
It is located in India. The complete address is A-309, Boomerang, Chandivali Farm Road, Powai, Mumbai – 400 072.
QuantInsti® was founded by Algorithmic & High Frequency Traders and Experts, who also founded iRage, a leading HFT firm in Asia. On the advisory board are Dr. Ernest P. Chan and Prof. Gautam Mitra, both practitioners and academicians, globally renowned in their domains. The dedicated team of traders, trainers, developers and renowned expert faculty members from all across the world run the show currently. Know more here.
https://accounts.quantinsti.com .quantinsti.com Qu@antinsti US 1