2-DAY MANAGEMENT DEVELOPMENT PROGRAM

1 2-DAY MANAGEMENT . DEVELOPMENT PROGRAM . on ALGORITHMIC TRADING. 2-DAY MANAGEMENT DEVELOPMENT PROGRAM . ON ALGORITHMIC TRADING. 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.

2 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.

3 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. 2-DAY MANAGEMENT DEVELOPMENT PROGRAM . ON ALGORITHMIC TRADING. p r o g r a m C o n t e n t Day 1.

4 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 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').

5 11:00 AM-11:10 AM Tea/Coffee served in class 11:40 AM-12:30 PM Technological innovations for algorithmic trading 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 12:30 PM-1:15 PM Lunch 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. 2-DAY MANAGEMENT DEVELOPMENT PROGRAM . ON ALGORITHMIC TRADING. 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).

6 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.

7 3. 2-DAY MANAGEMENT DEVELOPMENT PROGRAM . ON ALGORITHMIC TRADING. 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). Complex Event Processing on Algorithmic Trading Platforms Demonstration of algorithmic trading strategy implementation Working with exchange simulators and testing strategies 11:00 AM-11:10 AM Tea/ Coffee served in class 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 Statistical big-data analytics using R. Using R with Excel 3:00 PM-3:15 PM Tea/ Coffee break 3:15 PM-4:15 PM Risk MANAGEMENT specific to Algorithmic Trading 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 4:15 PM-4:40 PM What next Exchange innovations Competitive Landscape 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.

8 4. 2-DAY MANAGEMENT DEVELOPMENT PROGRAM . ON ALGORITHMIC TRADING. P R O F I L E O F S P E A K E R S. Aditya Sihag Aditya is currently a Quantitative Strategist & Developer at iRageCapital. He has experience trading equity index derivatives and commodity futures in the Indian markets. Aditya's interests lie in exploiting order flow dynamics for profit. Aditya holds a BA in economics from the University of Cambridge. He is a certified FRM and is awaiting completion of the mandatory work experience for his CFA charter. Rajib Ranjan Borah Rajib is the co-Founder & Director of iRageCapital Advisory Private Limited, & QuantInsti Quantitative Learning Private Limited. At iRage, Rajib assists clients across South East Asia in High Frequency Trading Strategy DEVELOPMENT & Systems Design - helping clients generate significant portions of the exchange volume primarily in the options derivatives segment. Prior to iRage, Rajib worked with leading HFT firm Optiver in Amsterdam.

9 Working on derivatives market making, and high frequency equity arbitrage strategies across all major European and US exchanges. Before Optiver, Rajib was a MANAGEMENT strategy consultant with PwC where he assisted a consortium in setting up a national commodity derivatives exchange. A national Olympiad finalist, Rajib has twice represented India at the World Puzzle Championships. He has a post-graduate MANAGEMENT degree from Indian Institute of MANAGEMENT Calcutta, a bachelor's degree in Computer Engineering from National Institute of Technology Surathkal and has internship experiences with Bloomberg in New York (equity derivatives research) and with Solutia in Belgium. 5. 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.

10 Date: April 11 & April 12, 2014 | Time: 9:30 AM to 6:00 PM. Venue: The Senate Hotel, Province Road, Off North, Ernakulum. 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 Ravi Jain (Mob: 9946708886). Landline: 0484-3061170 / 044-28479925 | Email: | (Limited Seats). 6. 2-DAY MANAGEMENT DEVELOPMENT PROGRAM . ON ALGORITHMIC TRADING. MDP NOMINATION FORM. 2-DAY MANAGEMENT DEVELOPMENT PROGRAM ON ALGORITHMIC TRADING. NSE presents a comprehensive PROGRAM on Algorithmic trading for you.