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"Tulchinsky, Igor, 1966- author"
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Finding alphas : a quantitative approach to building trading strategies
2020,2019
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.
The age of prediction : algorithms, AI, and the shifting shadows of risk
\"The interplay between prediction and risk and role of advanced predictive technologies (biotechnology, AI, and big data) in provoking social change\"-- Provided by publisher.