How Profitable is Algorithmic Trading? Five Key Facts

(Last Updated On: November 26, 2013)
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How Profitable is Algorithmic Trading? Five Key Facts

Wednesday, December 11, 2013

6:00-7:00 PM EST

This webinar will discuss five key factors that drive the profitability of an algorithmic trading strategy. Topics covered will include the origins of these factors, their net impact on algorithm profits, and how they can managed. A high level summary of the presentation can be found on our website: http://ibconnector.com/how-profitable-is-algorithmic-trading/

In order to register for this webinar please fill out our customer survey: https://www.surveymonkey.com/s/G3M2HFL

Completing the customer survey will provide the opportunity to win a free Premium License of our algorithmic trading software, a $500 value. Within 48 hours of filling out the customer survey you will receive an email confirmation of registration with an access code and link.

Note: You must register in order to participate in the webinar.

This Webinar is sponsored by IB Connector – trading automated:

www.ibconnector.com

About Us: We are a software company that specialized in algorithmic trading. Our primary product is an algorithmic trading platform designed for rapid implementation at a low cost. The platform provides connectivity between the Interactive Brokers API and the R statistical software. This enables the collection of security prices, executing trades, position monitoring, and capital management in a real-time programming environment.

More info at:

http://www.meetup.com/quant-finance/events/152848232/

http://www.meetup.com/R-Matlab-Users/events/152848372/

NOTE I now post my TRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don't worry as I don't post stupid cat videos or what I eat!
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About caustic

Hi i there My name is Bryan Downing. I am part of a company called QuantLabs.Net This is specifically a company with a high profile blog about technology, trading, financial, investment, quant, etc. It posts things on how to do job interviews with large companies like Morgan Stanley, Bloomberg, Citibank, and IBM. It also posts different unique tips and tricks on Java, C++, or C programming. It posts about different techniques in learning about Matlab and building models or strategies. There is a lot here if you are into venturing into the financial world like quant or technical analysis. It also discusses the future generation of trading and programming Specialties: C++, Java, C#, Matlab, quant, models, strategies, technical analysis, linux, windows P.S. I have been known to be the worst typist. Do not be offended by it as I like to bang stuff out and put priorty of what I do over typing. Maybe one day I can get a full time copy editor to help out. Do note I prefer videos as they are much easier to produce so check out my many video at youtube.com/quantlabs