Understand how statistical measures can be used to create a quantitative trading strategy. Familiarize yourself with the crucial terms such as co-integration, stationarity, Dickey Fuller test, correlation vs co-integration. Statistical tools are used in to create a quantitative trading strategy model which finds inefficiencies in markets which result in stock mispricing that result in to statistical arbitrage conditions. High speed trading systems make use of such strategies to earn profits due to market inefficiencies and in turn increase liquidity in the markets. This presentation was delivered by QuantInsti founder Nitesh Khandelwal at a Workshop. It starts with defining quantitative trading while clearing the fundamental question. The presentation looks at various aspects of quantitative trading: Build a statistical arbitrage trading model using quant with a statistical approach, Statistical tool kit for the strategy, Strategy building on Excel, Basic demonstration on R. If you are interested in this domain, find out how to learn and build your career at our website: www.quantinsti.com. Workshop Video: Quantitative Trading Strategy - https://www.youtube.com/watch?v=vau7GwumxRo