CERTIFIED PROGRAMME ON
AcademyCERTIFIED PROGRAMME ONAlgorithmic Trading & Computational Financeusing Python & R01
AcademyOVERVIEWNSE Academy & TRADING CAMPUS presents "Algorithmic Trading & Computational Finance usingPython & R"- a certified course enabling students to understand practical implementation of Pythonand R for trading across various asset classes.Financial Markets have revolutionized the way financial assets are traded. Thus it is imperative todevelop domain knowledge in Equity analysis, Technical Analysis & Algorithmic Trading. Python andR are technology platform of choice for automated trading as these platform provides multiple APIsand Libraries for quick implementation of trading strategy. Within this course, technology and welldefined strategies will be used extensively to maximize returns in a highly competitive environment.This course will provide exposure to application of Python for Algorithmic Trading and "R" forComputational Finance. Students will learn to develop Real-Time Strategies and create a tradingengine that will be supported by advance data analytics. Python and R provides a quantitative edgein Advance Capital Markets - Our students will be a step ahead of competition.PROGRAM HIGHLIGHTSThe aim of the Certified Program on "Algorithmic Trading & Computational Finance using Python &R" is to develop skills and competency of market participants in securities markets. It's a gatewayfor every participants to Algorithmic Trading with solid foundation of financial markets. Theevaluation process involves project reports prepared by applying strategies in Real Time Marketsand MCQ's covering the theory content.KEY HIGHLIGHTS Jointly Certified By NSE Academy & Trading Campus Program conducted by faculty with extensive trading experience Placement opportunity with top brokerage houses as Quant analyst role 100 Hours program to build Algorithmic Trading strategies with advanced data analytics Ready to use Strategies & Template with back testing feature Understand High Frequency Trading, AI & Machine Learning Faculty with industry experience Two months internship for top successful candidates.WHAT WILL YOU LEARN Comprehensive LIVE Strategy Engine with back testing feature The ability to access the efficacy of an algorithmic trading model within live environment Skill set of Python & R for Algo Trading and Advance Financial Data Analytics Validation of your skills and expertise in algorithmic trading.02
AcademySYLLABUSAlgorithmic Trading using PythonTechnical Trading (Using Python) Basics of Technical Analysis : Chart Types, Chart Patterns, Gap Theory, Candle Pattern, TechnicalIndicators Designing of Strategy Builder using Technical Indicators & Price Theory Designing of Back-Testing platform to achieve strategy optimization Real-time API Connectivity by handling Broadcast, OMS & RMS Real-time Database upgrade & Data wrangling Comprehensive LIVE Strategy EngineOptions Trading (Using Python) Basics of Options Trading : Option Payoffs, Black Scholes Calculator, Greeks ProfileImplementing Option Strategies in Live Market using PythonDesigning Greeks Dashboard for hedging mechanismDelta Neutral, Gamma Hedging & Volatility Trading using Live SimulatorsDesign Back-Testing platform for IV Trading, OI Analysis & Results TradingStrategy based on Volatility Smile & Volatility SkewGrey Box & Black Box Trading (Using Python) Implementation of Scalping, Scaling, Advance Jobbing & Trend Jobbing in Live MarketEnvironment Triangular Arbitrage Strategies for Forex & Commodities Mean Reverting Strategies like Pair Trading using Z score Model Basket Strategy (Index-Index, Index-Stocks) Statistical Arbitrage Strategies Pre & Post Result based Trading Strategies using Sentiment Indicators Overview on High Frequency Trading Overview on Artificial Intelligence and Machine Learning in TradingComputational FinanceEquity & Fixed Income Analytics (Using R) Fundamental Analysis using Ratio CalculationsPeer Group ComparisonStock Selection Strategy based on Decision TreesDCF Valuation and Sensitivity analysisBond Pricing along with duration and convexityFX & Interest Rate Derivatives like Interest Rate Futures, Swaps, Currency OptionsPortfolio Analytics & Risk Management (Using R) Implementation of CAPM, APT & Fama French ModelMarket Neutral Portfolio & Balanced PortfolioModel Portfolio using Efficient Portfolio TheoryRisk Estimation – VAR, Beta, Covariance Matrices, CorrelationHistorical VAR, Stress analysis, Monte Carlo SimulationCredit Rating Matrix & Credit Risk Models03
AcademyFees Structure (All Amount Inclusive of Applicable Taxes)REGISTRATION FEERs. 500/-TECHNICAL STRATEGIES USING PYTHONRs. 15,000/-OPTIONS STRATEGIES USING PYTHONRs. 15,000/-TECHNICAL & OPTIONS STRATEGIES USING PYTHONRs. 30,000/-ENTIRE COURSE USING PYTHON & “R”Rs. 50,000/-VenueTrading Campus, First Floor, Shop no 3, Raghuleela Mall, Kandivali West, MumbaiPAYMENT MODE:1. Payment details for internet banking using NEFT/RTGS or Demand Draftas per details given below.BANK NAME: HDFC Bank LimitedA/C NO: 00600340081024IFSC CODE: HDFC0000060MICR CODE: 400240015BRANCH: FORTA/C TYPE: CURRENT A/CBENEFICIARY NAME : NSE Academy Limited2. In case of Demand Draft, please issue a Demand Draft in favour of ‘NSE ACADEMY LIMITED’payable at Mumbai.3. In case of Credit Card,Net Banking,Wallet please Send you Name, Mob No,Email ID,and Locationto Ksubudhi@nse.co.in to generate the payment link.4. Scan QR Code to pay using Paytm app.Refund Policy1. Registration fees once paid is non-refundable under any circumstances.2. Refund request received two workings days or 48 hours prior to the date of commencement ofcourse or launch date of course or first lecture/class, whichever is earlier - 90% of the coursefees shall be refunded.3. Refund request post 48 hours prior to the date of commencement of course or launch date ofcourse or first lecture/class, whichever is earlier - Zero refund.FOR ANY FURTHER QUERIES, PLEASE CONTACT7718989954/7045300842/9619497906 info@tradingcampus.in04
AcademyFACULTIESRonak Moondra, MS in Financial Engineering (USA) holds Financial Risk Manager (FRM)certification from GARP USA. Currently candidate for Chartered Financial Analyst (CFA LevelIII) USA. His domain expertise are Portfolio & Risk Management, Quantitative Investmentstrategies, Statistical Arbitrage and Financial Modelling.Ronak currently heads Quant Research for Option Financial Research Pvt Ltd. He has over 8years of experience in Algorithmic Trading in International and Domestic markets across allfinancial products (Equity, Commodity & Forex). He is consultant and trainer for NSE AcademyLtd & NISM (SEBI). Also trains students for various international certifications. Known for hisunique way of teaching capital markets.Shashank Madarapu, PG Diploma in Finance and Software Developement holds several CMFAS,FINRA certification from Singapore and USA as well as NISM certifications. He Currently servesas Product Manager and Trade Strategist for Trading Campus. His domain expertise are TrendTrading, Reversal Trading using Technical Analysis, Options Algo Trading using Python.Eligibility: H.S.CPre-Requisite: Hands on Language Like Java, C, C Duration: 3 Months (1 Month for Projects)Program Format: Online / Offline LearningNSE Academy LimitedExchange Plaza, C-1, Block G, Bandra Kurla Complex,Bandra (E), Mumbai – 400 051. Website : www.nseindia.com05
AcademyModules Opted*Technical Strategies Using PythonOption Strategies Using PythonTechnical & Options Strategies Using PythonEntire Course Using Python & "R"Date of Joining:Signature Of Applicant06
Trading, Reversal Trading using Technical Analysis, Options Algo Trading using Python. Academy 06 M * Date of Joining: o dul es Opt Technical Strategies Using Python Option Strategies Using Python Technical & Options Strategies Using Python Ent
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