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Bill Harts (https://www.linkedin.com/in/bill-harts-926939) and Gaurav (https://www.linkedin.com/in/gauravchak)will talk about how 2016 is an amazing time for ML/data-science based FinTech companies to disrupt high-frequency-trading (http://www.qplum.co/discuss).

RSVP for the live webinar here: http://www.qplum.co/discuss

To keep the session interactive, we will spend most of the time taking questions that come in like the last webinar.

Highlights of the last webinar here (May 2016):

https://www.youtube.com/watch?v=JgUr_j0YJKI

Questions we have received so far for the upcoming June webinar:

• As a computer scientist, how do you see high-frequency-trading having contributed to advancement in computer science ?

• Given the variety of trading advice, what are the best ways of executing based on the information provided to you?

• How to execute trades as an individual investor? Are there any practices one should avoid?

• How much effect does trade execution have on one's portfolio's performance?

• How do you see ML disrupting the "big players" in high-frequency-trading?

• Who is making the most money when a main street investor places a trade?

• We have a number of green shoots of entrepreneurship in FinTech. Which ideas do you think have the most potential to succeed?

More here : https://www.qplum.co/discuss

More highlights from the May event:

https://www.youtube.com/watch?v=R_cX9W1wKYA

https://www.youtube.com/watch?v=2naJ3GKc4m4

Apply to pitch your startup at the event (https://qplum.typeform.com/to/dPvXTN)

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