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Big Data & Bloomberg News - Using Python in Financial Markets by Saeed Amen from QuantCon 2018

This talk, titled, "Big Data & Bloomberg News - Using Python in Financial Markets" gives some use cases for machine learning as well as a brief overview of ways big data and alternative data in financial markets can be used. Saeed Amen presents a case study examining how machine-readable Bloomberg news can be used to trade FX (Forex) systematically. He also shows how news can help understand the market volatility around FOMC (Federal Open Market Committee) and ECB (European Central Bank) meetings. Lastly, he looks at Python tools, which can be used to analyze financial markets, some demos, and a basic trend trading strategy for bitcoins. To learn more about Quantopian, visit http://bit.ly/bigdataqc18. The slides for this presentation can be found at http://bit.ly/2YMQ5kd. 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.