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Mean Reversion Strategies In PythonnOffered by Dr. Ernest P Chan, this course will teach you to identify trading opportunities based on Mean Reversion theory. You will create different mean reversion strategies such as Index Arbitrage, Long-short portfolio using market data and advanced statistical concepts. A must-do course for quant traders.nAPPLY MEAN REVERSION STRATEGIESnCreate four different types of mean reverting strategiesnPerform statistical test for identifying stationarity and co-integrationnBacktest pairs trading, triplets, index arbitrage and long-short strategynExplain the role of risk managementnPaper trade and live trade your strategies without any installations or downloadsnMEAN REVERSION TRADING COURSEnIntroduction to the Coursen nThis section gives an overview of the mean reversion strategy through examples. You will go through the course structure and understand how the course is structured in videos, quizzes, strategy codes and interactive coding exercises. This will make sure that not only do you understand the mechanics of mean reversion but also implement trading strategies in live markets.nnIntroduction by Dr. Ernest ChannnIntroduction to Mean Reversion StrategynnCourse Structure Flow DiagramnnQuantra Features and GuidancennTypes of Statistical Arbitrage Strategiesn Stationarity of Time SeriesnAugmented Dickey-Fuller Testn Mean Reversion StrategynLive Trading on BlueshiftnLive Trading Templaten Cointegration nPairs TradingnTripletsnHalf LifenRisk ManagementnBest Markets to Pair TradenIndex ArbitragenLong Short PortfolionRun Codes Locally on Your MachinenAutomated Trading Using IBridgePynSummarynABOUT AUTHORnDr. Ernest P. ChannnDr. Ernest Chan is the Managing Member of QTS Capital Management, LLC., a commodity pool operator and trading advisor. QTS manages a hedge fund as well as individual accounts. He has worked in IBM human language technologies group where he developed natural language processing system which was ranked 7th globally in the defense advanced research project competition. He also worked with Morgan Stanley’s Artificial intelligence and data mining group where he developed trading strategies.
Trading foreign exchange and algorithmic assets on margin carries a high level of risk and may not be suitable for all investors. Past performance does not guarantee future results.
