NYC Quantopian Workshop on February 28th

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Connor Frol

posted

Hi everyone,

We would like to invite you to attend our day-long, hands-on, algorithmic trading workshop happening on February 28th in New York City.

The Workshop: An Introduction to Algorithmic Trading:
The Workshop will give you a strong foundation to craft a trading strategy. The curriculum has been vetted and used to teach by professors at top tier schools including: Harvard, Stanford, and Cornell.

The workshop will:

Give you the ability to create and backtest your own basic trading strategies.  
Show you how to use algorithmic trading tools that will help you craft your strategies.  
Teach you how to correct for some statistical biases that can disrupt analysis.

Attendees should have a beginner's knowledge of Python and college level math experience.

Reserve Your Spot Today:
The ticket price for the Workshop is $675.00. Meals will be provided.

If you would like to attend, please RSVP here. We hope you can join us!

Connor

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In addition, the material offers no opinion with respect to the suitability of any security or specific investment. No information contained herein should be regarded as a suggestion to engage in or refrain from any investment-related course of action as none of Quantopian nor any of its affiliates is undertaking to provide investment advice, act as an adviser to any plan or entity subject to the Employee Retirement Income Security Act of 1974, as amended, individual retirement account or individual retirement annuity, or give advice in a fiduciary capacity with respect to the materials presented herein. If you are an individual retirement or other investor, contact your financial advisor or other fiduciary unrelated to Quantopian about whether any given investment idea, strategy, product or service described herein may be appropriate for your circumstances. All investments involve risk, including loss of principal. Quantopian makes no guarantees as to the 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.

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