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Seeking Alpha in Alternative Data

(Re-upload) In the JP Morgan May 2017 report titled “Big Data and AI Strategies: Machine Learning and Alternative Data Approach to Investing” authored by Marko Kolanovic and Rajesh T. Krishnamachari, a report was cited which states 90% of the data in the world today has been created in the past two years alone, and just 0.5% of the data produced is currently being analyzed in any form. The challenge for a quant is how to make sense and ultimately extract useful trading signals out of these data. In this webinar, Anthony Ng uses Quantopian's alternative datasets and demonstrate one way to extract signal out of these alternative datasets. Access the slides: http://slides.com/anthonytyng/alterna... To learn more about Quantopian, visit us at: https://www.quantopian.com. Disclaimer Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice. More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian. In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.