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The presence of an active capital market is a huge boost to economic growth. Significant growth is witnessed in the Indian capital in terms of value and volume of transactions. Traditional roles in Capital Market focused on analysis which involved studying financial statements, focusing on industry trends, economic data, and global trends to make decisions. There is a shift in investment firms to depend on data-driven decisions, trying to combine fundamental investing with quantitative models popularly referred to as Algo and Quant trading. Algo trading is the process of using a computer program to follow a set of instructions for place a trade to generate profits at a high frequency which is beyond the capacity of a human trader. The strategies developed are based on a set of pre-defined rules and are based on timing, price or quantity, or a model. Algo trading makes markets more liquid and makes trading more systematic by ruling out emotional human biases.

Technical Analysis is the second module of the super specialization: Technical analysis is the forecast of future price movements based on the past price movements The course empowers students to identify the opportunities in the market and plan optimal entry and exit points and thereby trade and invest successfully. The concept of technical analysis is old but relevant across time and the reason being price action in markets reflects human nature and technical principles can be applied to any freely traded entity in any time frame.

Standard electives are offered in capital markets like Introduction to Financial System and Markets (level1), Introduction to Financial Services, Security Analysis, and Portfolio Management, Derivatives, Finance lab, Investment Banking, Financial Modeling, and Business Valuation. In addition, JAGSoM offers Super Specialization in Capital Market

CAREER TRACK COURSES

  • Equity Trading Strategies and back testing

  • Python for Financial Markets

  • Introduction to Machine learning for trading

  • Quantitative portfolio management strategies

  • Options trading strategies and back testing

  • Technical Analysis

  • Equity research Analyst/ Equity research associate

    Competency

    1. Ability to screen and select equity on select criteria
    2.Manage execution of trading strategies
    3. create and update sector wise equity research reports

    Key Concepts

    fundamental analysis, technical analysis, trading strategies

    Interventions - Courses and Project

    Elective Courses 1. Security Analysis and Portfolio Management, Finance lab, SS in Capital market.

    Critical Skills

    1. Understanding and application of Equity risk, return models
    2. Back testing trading strategies
    3. Report writing
    4. ability to navigate bloomberg terminal

    Certification

    Bloomberg Markets Concepts certification
  • Analyst in Portfolio Management services/Mutual funds

    Competency

    1. Ability to analyse performance of companies
    2.Manage execution of trading strategies
    Ability to navigate and use Bloomberg terminal

    Key Concepts

    fundamental and technical analysis, Portfolio construction, evaluation, and revision

    Interventions - Courses and Project

    Elective courses like Security Analysis and Portfolio Management, Derivatives, Finance lab, SS in Capital Market.

    Critical Skills

    1. Portfolio construction criteria, evaluation of risk assessment and returns, ability and identify and compare with benchmark indices, Working knowledge in python, back testing of trading strategies

    Certification

    Bloomberg Markets Concepts certification
  • Derivatives-Analyst/Risk analyst/ Risk management

    Competency

    1. Ability to screen and select options/futures
    2.Manage execution of trading strategies

    Key Concepts

    Futures, options, Call, Put, underlying assets, expiry date, life cycle, volatility measures, trading strategies, return computation, margin trading

    Interventions - Courses and Project

    Elective courses like Derivatives, Finance lab, SS in Capital market

    Critical Skills

    1. application of risk and return, Hedging, back testing trading strategies

    Certification

    Bloomberg Markets Concepts certification
  • Quant trader/Algo trader

    Competency

    1. analyse market data and returns
    2. Ability to analyse large data sets to identify trading opportunities
    3. Manage execution of trading strategies using in house trading platform
    4. Detail oriented

    Key Concepts

    1. Volatility, risk, return, data visualization, Covariance, Correlation, regression, write and back test algo
    2. Analyse market price, returns and trends, charting tools
    3. back testing trading strategies

    Interventions - Courses and Project

    Introduction to python in financial markets, Machine learning in financial markets in addition to electives like Derivatives, Finance trading lab and other SS courses in capital market, all projects of RFP in capital market

    Critical Skills

    back testing, working knowledge in python and machine learning

    Certification

    Bloomberg Markets Concepts certification
  • Analyst- Technical analyst

    Competency

    1. Ability to analyse market data and use relevant charting tools

    Key Concepts

    retracement, trends, patterns, Elliott wave, Fibonacci

    Interventions - Courses and Project

    Elective courses like Security Analysis and Portfolio Management, Technical analysis module in SS in Capital market.

    Critical Skills

    Ability to use charting tools on trading view

    Certification

    CMT level 1
  • Investment Banking-Sell side Analyst/ Associate

    Competency

    1. Generate sell side research reports /familiar with valuation methods
    2. Oral and written communica-tion skills

    Key Concepts

    valuation models

    Interventions - Courses and Project

    Elective courses like Business Valuation, Investment Banking, SAPM, Financial modelling, FAFSA.

    Critical Skills

    Ability to apply valuation models and write reports

    Certification

    Bloomberg Markets Concepts certification
  • Private Equity- Buy side Analyst/ Associate

    Competency

    1. Generate buy side reports

    Key Concepts

    valuation models (DCF, relative), cost of capital, term sheet

    Interventions - Courses and Project

    Business Valuation, Financial modelling.

    Critical Skills

    Ability to apply valuation models and write reports

    Certification

    Bloomberg Markets Concepts certification
  • Analyst-Wealth management/ Relation-ship manager/ advisor

    Competency

    1. ability to understand the needs of the client and suggest based on risk/return criteria

    Key Concepts

    Risk return performance across asset classes

    Interventions - Courses and Project

    Elective courses like Introduction to Financial system & markets, Security Analysis and Portfolio Management, Derivatives, Finance lab, Wealth management, SS in capital market.

    Critical Skills

    1. Oral communication skills,
    2. ability to recommend relevant financial assets with strong understanding of asset classes
  • EQUITY TRADING STRATEGIES

    1
    Introduction to trading strategies: Swing, Day, Momentum
    2-3
    Technical Indicators Wordpress
    3-4
    MACD Indicators
    5-6
    Entry rules and Exit rules, Back testing
    7
    SPerformance measures
    8
    KRisk management – Diversification and Position size
    9-10
    Intraday Trading: criteria to select stocks
    11-12
    Entry rules and Exit rules and Back testing
    13-14
    Momentum Trading Strategy, Criteria, and Back testing
    15-16
    Buy and Hold Strategy
  • PYTHON FOR FINANCIAL MARKETS

    1
    Python Environment
    2
    Objects, references, packages, and libraries
    3-5
    Python Data structures
    6-8
    Import Time series Data, Plot Market data, Create 2D and 3D plots
    9-10
    Functions, Arrays
    11-12
    Numpy, Pandas and Data manipulation
    13-14
    Data Frames, conditional statements, and loops
    15-16
    Conditional statements and loops
  • QUANTITATIVE PORTFOLIO MANAGEMENT STRATEGIES

    1
    Introduction
    2-4
    Basics of Portfolio construction
    5-6
    Modern Portfolio Theory
    7-8
    Portfolio construction using python/Excel
    9
    Concept of utility, utility curve
    10
    Construction of a Kelly portfolio
    11
    Risk parity, Risk exposure
    12
    Fama French
    13-14
    Factor Investing
    15-16
    Multi Factor models
  • OPTIONS TRADING STRATEGIES

    1
    Options Nomenclature
    2
    Types of Volatility
    3-4
    Volatility measures
    5-8
    Options – underlying- Pay-offs and trading strategies • Put-call parity • Option pricing models, Estimating implied volatility
    9-12
    Trading calendar spreads using futures and options • Option chain and open interest volatility-based option strategies, Trading advanced option strategies
    13-16
    Back testing and paper trades
  • ML FOR FINANCIAL MARKETS

    1-2
    Types of ML
    3-6
    Supervised learning
    7-10
    Unsupervised learning
    11-12
    Reinforcement learning
    13-16
    Predict Trends using classification
  • TECHNICAL ANALYSIS

    1-2
    Theory and history of technical analysis
    3-6
    Charts, trends, and Patterns
    7-10
    Advanced concepts in charting and trend analysis:
    11-14
    Chart development analysis
    15-16
    Volatility measures in today’s financial markets

Core Faculty

  • Dr. V.Sridevi

    Professor - Finance at JAGSoM

    An academician with 21 years of teaching, research, and corporate training experience. Dr.Sridevi was part of a faculty led research project on Mutual Funds- a study on expense ratio to SEBI, which led to many actions by the regulator. She worked on content development project related to capital markets for a leading MNC. Dr.Sridevi currently teaches Indian Financial system and Markets at JAGSoM.

  • Dr. Gopala Raghuram

    Associate Professor, JAGSoM

    Before his entry into academics, Dr Raghuram was with Zacks Research Private Limited (the Indian subsidiary of Zacks Investment Research, Inc., Chicago, USA) worked in the area of Quantitative Equity Portfolio Management (QEPM).

    Dr Raghuram is a PhD from the Institute of Management, Nirma University, Ahmedabad. He formulated and defended his PhD thesis proposal as an exchange research scholar at the Mexico state University, USA. He has held full time faculty positions earlier with schools like FLAME, SIBM and SASTRA

    Dr Raghuram’s research interests include anomalies of the Capital Asset Pricing Model (CAPM), the Fama-French three-factor model and the Adaptive Market Hypothesis.

  • Prof. Jitender is a prolific equity researcher, portfolio advisor and a senior executive running financial organizations. He has over 16 years of experience in the fields of Equities, Mutual Funds, Derivatives, Fund Management and Research with various financial firms including an Asset Management Company. He also serves as a Visiting Faculty to several tier-1 Management Institutes for more than ten years. Prof. Jitender holds CFA designation from CFA institute

  • A very popular Professor in Finance Area, Dr. Bagga is a practicing Chartered Accountant, Financial Consultant, Auditor & Valuation Analyst, Senior Partner at N.B. & Co., a CA firm. He is also a trainer with NISM, ICICI Securities and Imarticus. He is a Strategic HR Consultant, Committee Member at ICAI, having a rich experience of more than 25 years.

  • Ashuthosh Dave: FRM

    Senior Associate, Research and Content at Quantinsti

    Ashutosh holds a Masters in Statistics with distinction from the London School of Economics (LSE) and is a Certified FRM (GARP). He is also the co-author of A rough and ready guide to Algorithmic Trading (QuantInsti, 2020). Ashutosh has more than a decade of experience in the area of financial derivatives trading and quant finance. Apart from contributing to the overall content development at QuantInsti, he teaches Python in our flagship programme EPAT.

  • Jay Parmar

    Associate, Research and content at Quantinsti

    Jay comes with several years of experience in the BFSI industry across various roles and is actively engaged in content development for quant finance courses. is passionate about algo trading. He comes with a natural flair to programming given his formal computer science background. He enjoys developing automated trading systems and active research interests in applications of machine learning models in various aspects of trading.

    He is expert in building backtest systems and options trading. Jay is the co-author of Python Basics: With Illustrations from the Financial Markets (2019) and holds a Bachelors’ in Computer Engineering.

  • Rekhit Pachanekar

    Quant Researcher, Quantinsti

    Rekhit has studied Computer Engineering and completed his PGDM from IIM Indore.

    At Quantra, he researches trading strategies and how they are applied in the real world. From swing trading to momentum trading as well as position sizing, he likes to use them on particular stocks and analyse their performance

  • Ishan Shah

    Quant researcher

    Ishan Shah leads the content & research team at Quantra by QuantInsti. Prior to that, he worked with Barclays in the Global Markets team & with Bank of America Merrill Lynch. He has a rich experience in financial markets spanning across various asset classes in different roles.

    He is expert in data modelling, statistics, machine learning and natural language processing, Statistical Arbitrage and Options.

  • Vivek Krishnamurthy

    Head Research and Content at Quantinsti

    Vivek teaches Python for data analysis, building quant strategies and time series analysis to our students across the world. He has over a decade of experience across India, Singapore and Canada in industry, and academia.

    He has trained mid and senior-level executives in corporate finance, financial modeling, quantitative finance and portfolio theory at Larsen & Toubro, Credit Suisse and other organizations.

    He is the co-author of Python Basics: With Illustrations from the Financial Markets (2019) and A rough and ready guide to Algorithmic Trading (2020).

  • Viraj R.Vyas

    CMT, CFTE

    Technical and Derivatives Analyst at BOB capital.

    Viraj teaches technical analysis. His job involves Observing patterns of the stock market to make calculated predictions about its future performance and shares high-probability trading opportunities. He trains students in identifying entry and exit opportunities using technical analysis.

REQUEST FOR PROBLEMS (RFP)
INDUSTRY PROJECTS

  • Company:

    Stock edge

    Project Title:

    Trading Screeners for Equity

    Project Description

    the objective of the study is to use technical indicators to screen stocks to ascertain if the stocks change their trend on an intraday or swing basis. The group used application of Python to create the source code which ran the functions from various libraries to back test on 6 years of data of the pre-defined stock universe.

  • Masters Portfolio services

    Quantitative portfolio management using ML

    The group created a long, short momentum portfolio of stocks in the Indian Market that have futures and options trading. Applied fundamental filters to sort the stocks first and then applied momentum using ML.

  • Quantinsti

    Swing trading strategies for the Indian Equity market

    The group created, tested and paper-traded a systematic investment/trading strategy using Python and its data science stack. The group prepared and submitted a report with details on the data set used, techniques deployed, detailed results obtained on in-sample and out-of-sample data

  • Quantinsti

    Quantum Momentum strategies

    The group Created a long-only and a long-short momentum portfolio of stocks and created three different models that try to capture momentum in the market using the following approaches.

    1. Technical indicators

    2. Time series returns

    3. Cross sectional returns and Uses ranking algorithms to rank the instruments for trading.

  • irage

    Analysis of Indian futures Market

    The group analysed how the futures market characteristics have changed over time i.e., pre covid & post covid with specific reference to select Nifty 50 & Bank Nifty stocks.
    The group used python to source the past 5-year data.

STUDENT PROFILES

  • GOKULAKANNAN S

    Qualification: B. Tech

    Work Exp: 2 years Junior Engineer

    Contact: https://www.linkedin.com/in/gokulakannan-s-955495ab

    QuantInsti: Quantitative momentum portfolio

    Other Projects and Accomplishments

    Research Paper on Investor Biases and Decision Making

  • SWAPNIL GAUTAM

    Qualification: B. Com

    Work Exp: N/A

    Contact: http://linkedin.com/in/swapnilgautam1016

    Irage: Analysis of Indian futures market

    Other Projects and Accomplishments

    1.Internship at Takshshila consulting

    2.Innovation Incubation project

    3. First Position Intra college Hackathon competition

  • M SAI TEJA

    Qualification: BBA

    Work Exp:N/A

    Contact: https://www.linkedin.com/in/m-saiteja-780742175

    QuantInsti: Quantitative momentum portfolio

    Other Projects and Accomplishments

    1.Best Toastmaster (2017)

    2.Research paper on applying mean reversion model to estimate the quality of earnings,

    3. Successfully devised and backtested a RSI momentum trading strategy using python

  • AKASH NAYAK

    Qualification: B. Com (Hons.)

    Work Exp: N/A

    Contact: https://www.linkedin.com/in/akash-nayak-ab128a161

    QuantInsti: Quantitative momentum portfolio

    Other Projects and Accomplishments

    1.Design Thinking Project on Dunzo,

    2. Rating on Mutual Fund Investment,

    3. Derivatives Future Stock Hedging

  • ANUHYA JYOTHULA

    Qualification: B.Pharmacy

    Work Exp: Worked for 10months at OyeSpace as a Business Analyst

    Contact: http://linkedin.com/in/anuhyameghana-jyothula-1916b5143

    QuantInsti: Quantitative momentum portfolio

    Other Projects and Accomplishments

    1)Research paper on IPO pricing and valuation

    2) Portfolio Analysis of recently listed companies

  • ABHIJEET KUSHWAH

    Qualification:B.A. (Hons) Business Studies

    Work Exp:N/A

    Contact: https://www.linkedin.com/in/abhijeet-kushwah20

    Stock edge: Creating strategies using scanners and filter on Stock edge

    Other Projects and Accomplishments

    Research Incubation project on “Gamification in Marketing”

    1.NISM certified Mutual fund distributor

    2.Mutual fund churning strategy based on Jensen Alpha

  • YOGESH ARVIND MISHRA

    Qualification: Bachelor's In Management Studies (BMS) Specialized in Finance

    Work Exp: N/A

    Contact: https://www.linkedin.com/in/yogeshmishra29

    Stock Edge: Create strategies using Stock Edge’s market scanners & filters

    Other Projects and Accomplishments

    Working on my start-up Solving the problem of easy accessibility and availability of organic farm produce directly to consumer's doorstep.

  • ANUSHA CHINAGI

    Qualification: B.com

    Work Exp: N/A

    Contact: https://www.linkedin.com/in/anushachinagi

    Master Portfolio Services:: Building & managing a portfolio using machine learning

    Other Projects and Accomplishments

    Research on how the valuation/market capitalization of FinTech companies has moved over the past decade.

  • PRATHAM A

    Qualification: B.com

    Work Exp: N/A

    Contact: https://www.linkedin.com/in/pratham-pai-098706155/

    QuantInsti: Swing Trading Model

    Other Projects and Accomplishments

    Research on Investors and their biases, Bond immunization

  • UMA S

    Qualification: B. Tech Food Processing and Engineering

    Work Exp:N/A

    Contact: https://www.linkedin.com/in/uma-sundar-b57722118

    Stock Edge:To Create Strategies using StockEdge's Scanners and Filters

    Other Projects and Accomplishments

    1.Performance Analyst- JAGSoM Student Mutual Fund

    2. Data node, Kanyathon

    3.Research paper on Applying Mean Reversion Model to Estimate the Quality of Earnings, designed a prototype for the app “INSIGHT” to make the online classes engaging and interesting for students (selected for top 6 teams).

  • KASHISH GUPTA

    Qualification: BBA

    Work Exp: N/A

    Contact: https://www.linkedin.com/in/kashish-gupta-0395091b8

    QuantInsti:Swing Trading Model For The Indian Equity Markets

    Other Projects and Accomplishments

    1.Internship-express roadways pvt ltd.-finance department-2 months

    2.Creating swing trading model for indian equity markets,financial project on Analyzing Indian Oil corporation through its fundamental and technical proposition

  • ARUN KUMAR

    Qualification:: B.A.L.L.B.,

    Work Exp:N/A

    Contact: https://www.linkedin.com/in/arunkumar14028

    Master Trust Portfolio Services:Building and Managing Momentum strategy Portfolio using ML

    Other Projects and Accomplishments

    Research on investor bias and Decision making

  • MATHUSUTHAN RAMAKRISHNAN

    Qualification: B.com

    Work Exp: Worked three years as articles assistance in Tharantitharan and associates

    Contact: https://www.linkedin.com/in/mathusuthan-ramakrishnan-6369b31b3

    QuantInsti: Building Swing Trading Model Using Python

    Other Projects and Accomplishments

    1.Member of student’s council as VP Hostels in JAGSoM B-School

  • HARISH GANAPATHI JS

    Qualification: B.Tech

    Work Exp:N/A

    Contact: https://www.linkedin.com/in/harish-ganapathi-js-8095951b3/

    iRageCapital: Analysis of Indian futures market

    Other Projects and Accomplishments

    Intern –

    Edlightened –

    Worked in developing an investment strategy in derivatives market.

  • ANKIT MEHTA

    Qualification: BTech. (Electronics Telecommunication) - NMIMS Mumbai

    Work Exp: Worked as SAP Functional Consultant at Reliance Industries Limited (22 months)

    Contact: https://www.linkedin.com/in/ankit-mehta-8286825600/

    iRageCapital: Study of Indian Derivatives Market

    Other Projects and Accomplishments

    1.Management Consultant at Takshashila Consulting (2 months internship).

    2.Research on Scanner for stocks for long term investing (CANSLIM )

    3.Accomplishment - Accolade by Mr. Kapil Sibal for outstanding Xth board results.

  • KUMAR MAYANK

    Qualification: B.COM H (ACCOUNTANCY)

    Work Exp: N/A

    Contact: https://www.linkedin.com/in/kumarmayank1043/

    Stock Edge:Creating strategies using StockEdge's market scanners & filters

    Other Projects and Accomplishments

    1. Finalist for International Hackathon 2021, Swift Institute Student Challenge (Winner yet to announce),

    2. Research Paper on Challenges faced by Indian Digital Payments landscapes

    3. Research work on Design Thinking in Financial Sector

  • DENNIS TOM ABRAHAM

    Qualification: B. Com in Finance and Taxation

    Work Exp: N/A

    Contact: https://www.linkedin.com/in/dennis-tom-abraham/

    Stock Edge: To create strategies using StockEdge’s market scanners & filters

    Other Projects and Accomplishments

    Research on how the valuation/market capitalization of FinTech companies has moved over the past decade.

  • NIKUNJ SINGHANIA

    Qualification: BBA

    Work Exp: N/A

    Contact: https://www.linkedin.com/in/nikunj-singhania-0a077b126

    Master Trust Portfolio Services: Building and managing portfolio using machine learning

    Other Projects and Accomplishments

    Research on

    Technology Acceptance of ROBO-Advisory services in India.

  • SIDDHARTHA BASU

    Qualification: BBA

    Work Exp: N/A

    Contact: https://www.linkedin.com/mwlite/in/siddharth-basu-7a10491b0

    Master Trust Portfolio Services: Building and managing portfolio using machine learning

    Other Projects and Accomplishments

    1.Three Month Internship from Shapoorji Pallonji

    2.Investor bias and Decision making

  • DAVIS VARGHESE

    Qualification:B. Com computer application

    Work Exp: N/A

    Contact: https://www.linkedin.com/in/davis-m-varghese-3b1867172/

    Master Fund:Building and managing portfolio using machine learning

    Other Projects and Accomplishments

    Research Paper on Fundamental and Technical analysis of Bajaj finserv, Order flow trading

  • SANT MATHURASHISH KUMAR

    Qualification: B.E/BTech (CSE)

    Work Exp: : N/A

    Contact: https://www.linkedin.com/in/sant-m-kumar/

    Master Trust Portfolio Services:Building and managing portfolio using machine learning

    Other Projects and Accomplishments

    1.Finalist for International Hackathon Student Challenge at Sibos 2021

    2.Research Paper on Stock market analysis using machine learning

  • BIDISHA MUKHERJEE

    Qualification: : B.Sc. Economics hons.

    Work Exp: N/A

    Contact: https://www.linkedin.com/in/bidisha-mukherjee-2714631a9/

    Master Trust Portfolio Services: Building and managing portfolio using machine learning

    Other Projects and Accomplishments

    1.Research Advisor at Student Investment Fund in JAGSoM

    2.Research paper on Prediction of company valuation using Machine Learning, Live project on equity research from Quollab

  • SHIVANGI SABOO

    Qualification: BBA

    Work Exp: 1 year work ex at Garnet Media Co.

    Contact: https://www.linkedin.com/in/shivangisaboo/

    QuantInsti: Quant Momentum Portfolio

    Other Projects and Accomplishments

    1.Vice President, Student Council at JAGSoM

    2.Research on PMJDY, Fundamental and Technical analysis of Bajaj FinServ

  • KARTHIK B

    Qualification: Currently pursuing BBA

    Work Exp:N/A

    Contact: https://www.linkedin.com/in/karthik-bhimavarapu-6a36001a9

    QuantInsti:: Creating a swing trading model for the Indian equity markets

    Other Projects and Accomplishments

    Research on Industry Analysis on IPCA LABS, Technical analysis on Havells.

  • SAHITYA RAJ

    Qualification: B.E. in Mechanical Engineering specialization in manufacturing

    Work Exp: Production and Maintenance engineer at Unicharm India

    Contact: https://www.linkedin.com/in/sahitya-raj-58008948/

    QuantInsti:Building a swing trading model with Python on a portfolio by stock screening

    Other Projects and Accomplishments

    1.Pitchbook for GoAir IPO including price range, share dilution and valuation of the company,

    2.Portfolio creation of NSE listed stocks to create most optimum portfolio using modern portfolio theory,

    3.Report on financial securities floated by ONGC to raise capital

  • SAMRUDDHI WANI

    Qualification: Bachelor in Management Studies (Finance)

    Work Exp: N/A

    Contact: https://www.linkedin.com/in/samruddhi-wani-33a668158

    QuantInsti:Create a Swing Trading Model for the Indian Equity markets

    Other Projects and Accomplishments

    1.ICICI Direct's StockMind 5- Top 5 contestant

    2.Research Paper on Industry Analysis- Beer Industry, Awareness and Behavior of Investors in Green Bonds in India

  • ADITI SAHA

    Qualification: B.E/B. Tech

    Work Exp:5 months, Preludesys sales executive

    Contact: https://www.linkedin.com/in/aditi-saha-17b3181b4/

    iRage Capital: Quant analysis of Indian derivative market

    Other Projects and Accomplishments

    Research paper on prediction of company valuation using machine learning, live project on equity research from Quollab

  • SARTHAK VERMA

    Qualification:B-Tech

    Work Exp: 6 months as an Audience development manager in TEDx Chennai

    Contact: https://www.linkedin.com/in/sarthak-verma-9bb69b183/

    irage: Analysis of Indian Futures market

    Other Projects and Accomplishments

    Research Paper on Machine learning in stock market

  • PUJIT SINGH

    Qualification: B. Com

    Work Exp: N/A

    Contact: https://www.linkedin.com/in/pujit-singh-68b3471a1/

    Stock Edge :To Create Strategies using StockEdge's Scanners and Filters

    Other Projects and Accomplishments

    1.Two months internship at Smart knower

    2. Creating a case study on the valuation of Zomato using three methods, DCF, Relative valuation and Adjusted P/E(New method)

  • DEEPAK GARG

    Qualification:B. Com (hons)

    Work Exp: N/A

    Contact: https://www.linkedin.com/in/deepak-garg-562716154/

    QuantInsti:Quant Momentum Portfolio

    Other Projects and Accomplishments

    2 months, Internship at Arctic Refrigeration Pvt. Ltd, Investment Analyst

  • ATHUL ASHOK

    Qualification: B.com

    Work Exp: N/A

    Contact: https://www.linkedin.com/in/athul-ashok-0685031b4/

    iRange :Study of Indian Futures Market

    Other Projects and Accomplishments

    1.Fund Manager at Student Investment Fund In JAGSoM

    2. Research Paper on How valuation in fintech companies changed over the years

  • SHAGUN CHANDOK

    Qualification: B.com

    Work Exp: N/A

    Contact: https://www.linkedin.com/in/shagun-chandok-30170717a

    Stock Edge: Creating strategies using scanners and filter on Stock edge

    Other Projects and Accomplishments

    1.Setting up the Student Managed Investment Fund. Now in charge of running the fund as Investment Committee head and Analyst.

    2.Creating a case study on the valuation of Zomato using three methods, DCF, Relative valuation and Adjusted P/E(New method)