Finding Alphas

For even the most experienced traders, designing the predictive mathematical models (alphas) at the core of quantitative trading is a complex, labor-intensive process that requires significant research and testing. Based on ever-changing data, quantitative strategies may have limited life spans; new models must be generated on a constant basis. Igor Tulchinsky, Founder, Chairman, and CEO of WorldQuant, and the team of researchers, portfolio managers, and technologists he has assembled at his global quantitative asset management firm have significant firsthand experience in this area. Finding Alphas: A Quantitative Approach to Building Trading Strategies draws on WorldQuant’s expertise in developing quantitative mathematical models to help you identify potentially profitable opportunities and build your own quantitative trading strategies. Covering everything from basic theory to advanced design and analysis techniques, this one-stop resource:

• Describes how to design, evaluate, and deploy quantitative trading strategies.
• Covers the development and backtesting of alphas, momentum alphas, the use of futures and forwards, institutional research in alpha development, and more.
• Explains how to use WebSim, WorldQuant’s proprietary, internet-enabled simulation platform.