2-DAY MANAGEMENT DEVELOPMENT PROGRAM on ALGORITHMIC TRADING

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Rebecca Naomi Hensley
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1 2-DAY MANAGEMENT DEVELOPMENT PROGRAM on ALGORITHMIC TRADING

2 P R O G R A M M E OVERVIEW Technology has revolutionized the way financial markets function and the way financial assets are traded. Technology development across global markets has necessitated a multidimensional approach for understanding the Importance of Algorithmic Trading. It is imperative to develop domain knowledge expertise in quantitative and qualitative algorithmic trading skills.it helps to understand the market in a better manner and often allows us to frame difference strategies as per the market movements. Given the current market scenario and dynamism, Algorithmic Trading has attracted attention more than ever before. The concepts are multi-fold and are applicable across all financial markets: equities, fixed income, currencies-domestic or global. In view of this, NSE presents a comprehensive workshop on Algorithmic Trading for analysts, dealers, traders, consultants, and other market practitioners. The course provides an opportunity to learn Algorithmic Trading. PROGRAMME OBJECTIVE NSE's MDPs aims to enhance the competitiveness of executives of all levels in the financial industry. It is designed to assist professionals to take on a leadership role in their position individually and collectively, while improving their knowledge. NSE's MDPs are vital for practicing professionals and managers who are keen to take on leaderships roles with their organizations. NSE's MDPs attract some of the finest faculty from industry. Participants learn from both the rich practical experience of the faculty, as well as from the diverse experience of fellow learners. It provides an ideal platform for gaining new insights in order to be successful. NSE also conducts dedicated workshops for corporate and financial institutions, especially designed for Traders, corporate executives and entrepreneurs. ABOUT QUANTINSTI Launched in 2010, QuantInsti (QI) is a globally unique concept of practical education on algorithmic trading by industry professionals. The core offering of QI is E-PAT (Executive Program in Algorithmic Trading). E-PAT is a 4-month (100 contact hours) online as well as in class course conducted on the weekends. Participants also do a project on an live-industry topic after the course work. The course is broadly divided into three segments: (i) advanced statistics, (ii) quant strategies and (iii) financial computing and technology. Till date around 200 professionals have successfully completed this program (17 batches) from Asia, Europe, America and Africa. This program is targeted towards professionals from the quant, trading, analytics, risk or financial-technology domains. In addition, QI is also the official partner of Fitch Learning's CQF program in India, and conducts workshops /educational programs in collaboration with financial institutions, exchanges, educational institutes. 1

3 P r o g r a m C o n t e n t Day 1 SESSION TOPIC 9:30 AM-10:00 AM Demystifying Algorithic Trading Decoding the jargon: Quant Trading, Algorithmic Trading, Automated Trading, High Frequency Trading, Ultra-High Frequency Trading Evolution of algorithmic trading - Globally Why should you do Algorithmic Trading - Benefits of Algorithmic Trading? Global & Indian trends - volumes generated, etc 10:00 AM-11:40 AM System Architecture and its impact on trading performance 11:00 AM-11:10 AM Tea/Coffee served in class Internal components of an algorithmic trading platform (OMS, CEP, RMS, Adaptors, tickstore, eventstore, etc) and their interaction External components - adaptor communication with destinations, communication standards and protocols (FIX, etc), TAP servers, multi TAP and invitation management Technological setup for Indian markets - network connectivity (scenarios, message rates); different trading environments (mock, test); colocation vs non-colocation; tbt vs snapshot; native api vs FIX connectivity Build vs buy decision ('building tools in house' vs 'buying off the shelf products') 11:40 AM-12:30 PM Technological innovations for algorithmic trading 12:30 PM-1:15 PM Lunch Latency, methods of measuring latency, standard latency benchmark figures Software innovations - low latency codes, Hardware innovations - cpu affinity vs scalability, FPGA vs ASIC, strategy on hardware, hardware configurations Tools available for Indian markets - software, hardware, etc 1:15 PM-1:45 PM Tool-box set of Algorithmic Trading Statistics, Quant Finance, Computing Key Statistical concepts relevant for designing algorithmic trading strategies 2

4 P R O G R A M M E Day 1 2:00 PM-3:30 PM Different types of algorithmic trading strategies High/ultra high frequency strategies Execution strategies: TWAP, VWAP, IS, etc Alpha seeking strategies: - market-making, arbitrage Different types of arbitrage strategies (structural and statistical) Equity segment strategies: Index Arbitrage, Mean reversion, momentum, technical analysis, pair trading Option Strategies: Dispersion, Volatility Spreads, Variance Swaps, Jelly Rolls, Skew trades Multiple exchange strategies: Smart Order Routing strategies Order Book Dynamics based trading strategies What are different global firms doing? 3:30 PM -3:40 PM Tea/ Coffee break 3:40 PM-4:25 PM Process of developing an algorithmic trading strategy Entire life-cycle involved in designing & operating an algorithmic trading strategy Working with high frequency data - managing tick databases Normalizing and cleansing data Hypothesis formulation Machine learning methodologies to automate strategy development 4:25 PM-5:15 PM Rules and Regulations Auditing Process and Requirements (NSE defined) SEBI recommendations on audit Exchange audits Technology and System audits Compliance Requirements Strategy approval process for Indian exchanges Global trends in regulations 5:15 PM-5:30 PM Revision test on topics covered 5:30 PM-6:00 PM Q&A 3

5 P R O G R A M M E Day 2 SESSION TOPIC 9:30 AM-11:50 AM Algorithmic Trading Platforms - I (hands on demonstrations of algorithmic trading platform working) 11:00 AM-11:10 AM Tea/ Coffee served in class Complex Event Processing on Algorithmic Trading Platforms Demonstration of algorithmic trading strategy implementation Working with exchange simulators and testing strategies 11:50 PM-12:30 PM Performance Evaluation and Portfolio Management Determining profitability of strategies using Sharpe ratio, Sortino ratio, Jensen's alpha, RaROC, Treynor Ratio, etc Leverage Space Theory to allocate resources across strategies 12:30 PM-1:15 PM Lunch 1:15 PM-3:00 PM Working with Quant Tools for algorithmic trading 3:00 PM-3:15 PM Tea/ Coffee break Statistical big-data analytics using R Using R with Excel 3:15 PM-4:15 PM Risk Management specific to Algorithmic Trading 4:15 PM-4:40 PM What next Exchange innovations Competitive Landscape Risk Management for Trading Operations - different sources of risk, evaluation methodologies to quantify and set limits Additional Risk Management issues in Automated Trading Common errors encountered in Algorithmic Trading Case studies of all major failures globally on Algorithmic Trading Risk Management requirements for Indian Exchanges New generation strategies - Machine Readable News based strategies, etc 4:40 PM-5:00 PM Future studies Literature review of books, study material and research papers on algorithmic trading 5:00 PM-6:00 PM Q&A 4

Prior to irage, Suneeth was with Lime Group where he was instrumental in developing the core infrastructure for Lime in its early days. Prior to that, he was with Yahoo!

6 P R O F I L E O F S P E A K E R S Suneeth Reddy Suneeth is the Director at QuantInsti, where he is also part of the faculty for the esteemed E-PAT program. He is also the Vice President Technology at iragecapital, an algorithmic trading technology advisory firm, where he leads the firm's efforts on the technology and innovation fronts. Prior to irage, Suneeth was with Lime Group where he was instrumental in developing the core infrastructure for Lime in its early days. Prior to that, he was with Yahoo! R&D where he designed highly scalable architectures targeted at low latency processing of news feeds. He has also done extensive research in DNA Computing and protein computing. His work has been presented at 'Symposium of Unconventional Models of Computing'. A graduate from Department of Computer Science, IIT Madras, Suneeth brings with him an extensive exposure to high performance algorithms and low latency architectures. Shaurya Chandra Shaurya Chandra is a Director at iragecapital Advisory Private Ltd., leading the firm's advisory practice in India on the Research, Strategies Development and Risk Management. He has advised extensively with core focus on the statistical research strategy development backed by rigorous back testing and setting up systems & processes for risk management. An area of specific focus for Shaurya has been working with clients in Sell-Side Order Execution Algorithms for leading brokerages. His current areas of research are Statistical Strategies and Rule Based Trading and Optimal Execution Algorithms. Earlier to iragecapital, Shaurya comes with experience at Bank of America, Edelweiss Securities Ltd. and Systematix Stock & Shares Ltd., where he worked as Derivative and Quantitative Analyst focused on Indian Equity markets. Shaurya has a post graduate degree in management from Indian Institute of Management, Ahmedabad and a B.Tech. in Electrical Engineering from Indian Institute of Technology, Roorkee. 5

7 WHO SHOULD ATTEND? The workshop is ideal for Traders, Investors, Brokers, Sub-brokers, Dealers, Fund Managers, Corporate Executives, Financial Intermediaries, Media, Journalist & anyone who wants to learn Algorithm Trading. W O R K S H O P D E T A I L S MANAGEMENT DEVELOPMENT PROGRAM IS A TWO DAY EXECUTIVE WORKSHOP Date: April 26 & April 27, 2014 Time: 9:30 AM to 6:00 PM Venue: Chennai. FEE & REGISTRATION Training Fee: Rs 17,800 plus Service Tax (Total: Rs 20,000) (Special discount of 10% for a group of 5 or more participants attending together as a team.) The fee includes tuition, presentation material, etc. The completed Registration Form Along with Payment. PAYMENT MODE: DEMAND DRAFT Account payee demand draft drawn in favour of "NATIONAL STOCK EXCHANGE OF INDIA LIMITED", payable in Chennai, should reach NSE at least seven days before the commencement of the program. FOR ANY FURTHER QUERIES AND PLEASE CONTACT Mr. Mahesh Hariharan (Mob: ) Landline: jainr@nse.co.in hariharanm@nse.co.in (Limited Seats) 6

8 MDP NOMINATION FORM 2-DAY MANAGEMENT DEVELOPMENT PROGRAM NSE presents a comprehensive program on Algorithmic trading for you. The course will provide you an opportunity to understand the various trading strategies that can be employed for Equity & Currency derivatives trading with hands on session. Step 1. Take a printout of this Nomination Form Step 2. Fill the Nomination Form with the required details Step 3. Make a Demand Draft of Rs. 20,000/- (Inclusive of taxes) payable at Chennai in favour of "National Stock Exchange of India Limited Step 4. Send the Demand Draft along with completed registration form and Copy of pan card to Mahesh Hariharan ( Mob: ) National Stock Exchange of India Limited 8th Floor, Arihant Nitco Park, 90, Dr. Radhakrishnan Salai, Mylapore, Chennai Landline: hariharanm@nse.co.in Details Participant 1 Participant 2 Participant 3 Name id Mobile Date of Birth Designation Organisation Years of experience in Stock Market Sponsored by: a) Self b) Company How did you come to know about the program: a) SMS b) c) Facebook d) NSE website e) Friends Correspondence Address:... Pin Code:... Programme Opted For: Date:... Payment Details: Amount (Rs.)... Demand Draft No.... Date of DD... Bank... 9

9 NATIONAL STOCK EXCHANGE OF INDIA LTD. Exchange Plaza, Plot no-c1, G block, Bandra-Kurla Complex Bandra (E), Mumbai Tel No - (022) cc_nse@nse.co.in Website:

2 DAY EXECUTIVE WORKSHOP ON UNDERSTANDING EQUITY DERIVATIVES

2 DAY EXECUTIVE WORKSHOP ON UNDERSTANDING EQUITY DERIVATIVES ON UNDERSTANDING EQUITY DERIVATIVES P R O G R A M M E OVERVIEW Financial derivatives have changed the world of finance through the creation of innovative ways to comprehend, measure, and manage risks.