Finding Alphas: A Quantitative Approach to Building Trading Strategies (Hardcover, 2)

Discover the ins and outs of designing predictive trading models

Drawing on the expertise of WorldQuant’s global network, this new edition of Finding Alphas: A Quantitative Approach to Building Trading Strategies contains significant changes and updates to the original material, with new and updated data and examples.

Nine chapters have been added about alphas – models used to make predictions regarding the prices of financial instruments. The new chapters cover topics including alpha correlation, controlling biases, exchange-traded funds, event-driven investing, index alphas, intraday data in alpha research, intraday trading, machine learning, and the triple axis plan for identifying alphas. You’ll also find details of how to use WebSim, WorldQuant’s web-based simulation platform, to test your alphas.

•    Provides more references to the academic literature

•    Includes new, high-quality material

•    Organizes content in a practical and easy-to-follow manner

•    Adds new alpha examples with formulas and explanations

If you’re looking for the latest information on building trading strategies from a quantitative approach, this book has you covered. 

New feature

THE TRADING PROFESSIONAL'S GUIDE TO DESIGNING QUANTITATIVE MATHEMATICAL MODELS, THOROUGHLY UPDATED AND REVISED

WorldQuant designs and develops "alphas" – quantitative mathematical models used to make predictions regarding the prices of financial instruments. A combination of mathematical expressions, computer source code, and configuration parameters, alpha algorithms convert data into positions or trades. An alpha is at the core of a predictive trading model, cutting through the noise of the market to identify and isolate a signal.

This fully revised edition of Finding Alphas provides substantially new and updated information that reflects the ever-increasing volume and variety of available market data, advances in computer technology, and cutting-edge techniques for designing and deploying alphas. In-depth chapters – written by WorldQuant Founder, Chairman, and CEO Igor Tulchinsky, along with current and former WorldQuant researchers, portfolio managers, and technologists – provide fresh insights on a broad range of topics, including machine learning, alpha correlation, intraday trading, exchange-traded funds, event-driven trading, and much more. Finding Alphas provides you with the necessary information to explore the universe of predictive signals.