Crowdsourced Investment Research through Tournaments

11 Pages Posted: 25 Sep 2019 Last revised: 29 Sep 2019

See all articles by Marcos Lopez de Prado

Marcos Lopez de Prado

Cornell University - Operations Research & Industrial Engineering; True Positive Technologies

Frank J. Fabozzi

EDHEC Business School

Date Written: September 15, 2019


Traditionally, the development of investment strategies has required domain-specific knowledge as well as access to restricted datasets. This has meant that investment opportunities are not researched by the majority of data scientists, because they lack either or both of these requirements. In this article, the authors discuss the merits of tournaments as a crowdsourcing paradigm for investment research. Tournaments can overcome the two research barriers (domain-specific knowledge and data barriers), hence enabling the wide population of data scientists to contribute to the development of investment strategies.

Key Points:

1. There are four flaws with the development of investment strategies: domain-specific knowledge barrier, budgetary constraints and confidentiality restrictions, inability to monetize the value of data, and backtest overfitting.

2. Tournaments offer a solution for overcoming the four flaws associated with developing investment strategies.

3. The modern investment process suggested allows data scientists without an investment background to contribute forecasts to a systematic asset manager.

Keywords: tournaments, backtests, data abstraction, investment strategies forecasting, overfitting

JEL Classification: G0, G1, G2, G15, G24, E44

Suggested Citation

López de Prado, Marcos and Fabozzi, Frank J., Crowdsourced Investment Research through Tournaments (September 15, 2019). Available at SSRN: or

Marcos López de Prado (Contact Author)

Cornell University - Operations Research & Industrial Engineering ( email )

237 Rhodes Hall
Ithaca, NY 14853
United States


True Positive Technologies ( email )

United States


Frank J. Fabozzi

EDHEC Business School ( email )

215 598-8924 (Phone)

Register to save articles to
your library


Paper statistics

Abstract Views
PlumX Metrics