Learning Track: Quantitative Approach in Options Trading

An 8-course learning track to start using quantitative techniques in Options Trading. Learn to create pricing models, various Options Trading strategies like Arbitrage Strategy, Box Strategy and Calendar Spread. Use ARIMA-GARCH models, Machine Learning techniques and Mean Reversion strategies in Options Trading.SKILLS COVEREDOptions TradingIndex ArbitrageMean ReversionDelta TradingBox TradingDispersion TradingMath & Core ConceptsARIMA-GARCHOption Pricing and GreeksPut Call ParityVolatility Smile and SkewExotic OptionsPython LibrariesNumPyPandasScikit-learnTA-LibSupport Vector ClassifierGet Learning Track: Quantitative Approach in Options Trading – QuantInsti, Only Price $97COURSE FEATURESLifetime Access to the courseCommunity supportDownloadable codesHands-on guided learningGet CertifiedLEARNING TRACKQuantitative Approach in Options TradingPREREQUISITESIt is expected that you have some financial markets experience and understand terms like sell, buy, margin, entry, exit positions. Some familiarity with options and technical indicators might help you in better understanding the concepts. The track covers basics of Python for trading, which will help you understand and learn the essential coding knowledge required to replicate the models in your trading.AFTER THIS COURSE YOU’LL BE ABLE TOCreate option pricing models including BSM, Derman-Kani Model and Heston Model. Use options pricing techniques using 2nd, 3rd, 4th order Greeks to create trading strategies.Create various types of Options trading strategies which are used by Hedge Funds and individual retail traders such as Arbitrage Strategy, Calendar Spread Strategy, Earnings Strategy, Box Trading, strategies based on implied volatility.Compute valuation using various exotic and compound options such as Binary options, Barrier options, Chooser options, Gap options and Shout options.Learn to manage risk by implementation of dynamic hedging using Greeks like Delta Neutral Portfolio and Gamma ScalpingUse computational powers and mathematical concepts in options trading. Create a trading strategy using Decision Tree Classifier. Explain concepts like Binomial Trees, Wiener Process, and Ito’s Lemma, and how they are used for the derivation of Black Scholes Merton model.Specialize in Quantitative Options Portfolio Management by getting trained in practical and implementable course content created by successful Options traders with over 30 years of combined experience of algorithmic trading in Options segment.Get Learning Track: Quantitative Approach in Options Trading – QuantInsti, Only Price $97SYLLABUSCourse 1: Python For Trading!Introduction to Python!Python Data StructuresData Analysis & TradingDealing with Financial DataBacktestingPerformance MetricsPython Installation and Automated ExecutionCourse 2: Options Trading Strategies In Python: BasicKnow your Options!Options NomenclatureTypes of VolatilityOptions Trading StrategiesPython Installation and Automated ExecutionWrapping Up!Course 3: Quantitative Trading Strategies and ModelsQuantitative Trading: An IntroductionTechnical Trading StrategiesEconometric ModelsQuantitative Trading Strategies for OptionsPython Installation and Automated ExecutionSummaryCourse 4: Options Trading Strategies In Python: IntermediateOptions Pricing ModelsEvolved Options Pricing ModelOptions GreeksOptions Trading StrategiesVolatility Trading StrategiesPython Installation and Automated ExecutionWrapping Up!Course 5: Trading with Machine Learning: RegressionProblem StatementIntroduction to Data GenerationData Pre-ProcessingRegressionBias and VarianceApplying the PredictionCreating the AlgorithmPython Installation and Automated ExecutionDownloadable CodeCourse 6: Trading with Machine Learning: Classification and SVMIntroductionBinary ClassificationMulticlass ClassificationSupport Vector MachinePrediction and StrategyPython Installation and Automated ExecutionDownloadable CodeCourse 7: Mean Reversion Strategies In PythonStationarity of Time SeriesCointegrationTripletsHalf LifeRisk ManagementBest Markets to Pair TradeIndex ArbitrageLong Short PortfolioPython Installation and Automated ExecutionSummaryCourse 8: Options Trading Strategies In Python: AdvancedMathematical Models for Options TradingDispersion TradingMachine LearningExotic OptionsRisk ManagementScenario AnalysisPython Installation and Automated ExecutionSummaryGet Learning Track: Quantitative Approach in Options Trading – QuantInsti, Only Price $97Tag: Learning Track: Quantitative Approach in Options Trading Review. Learning Track: Quantitative Approach in Options Trading download. Learning Track: Quantitative Approach in Options Trading discount.