Search
× Search
Wednesday, January 8, 2025

Archived Discussions

Recent member discussions

The Algorithmic Traders' Association prides itself on providing a forum for the publication and dissemination of its members' white papers, research, reflections, works in progress, and other contributions. Please Note that archive searches and some of our members' publications are reserved for members only, so please log in or sign up to gain the most from our members' contributions.

An illustration of how machine learning techniques can be used to create trading systems

photo

 Jonathan Kinlay, Quantitative Research and Trading | Leading Expert in Quantitative Algorithmic Trading Strategies

 Monday, August 8, 2016

http://jonathankinlay.com/2016/08/machine-learning-model-spy/


Print

6 comments on article "An illustration of how machine learning techniques can be used to create trading systems"

photo

 Jaume Marti Albareda, Freelance, legal & updated Robin Hood

 Wednesday, August 10, 2016



New technologies are becoming to financial markets, I'm using FUZZY LOGIC in my automated trading systens E LIMIT


photo

 Michael A. Howard, EMEA Customer Service/Delivery Executive, Leading Business Excellence & Change Management

 Thursday, August 11, 2016



hi guys which od these systems produce a more consistent return on investment.


photo

 Jaume Marti Albareda, Freelance, legal & updated Robin Hood

 Thursday, August 11, 2016



HI Michael, my system E LIMIT (off grid) can produce near 1% profit a day, follow the link: www.myfxbook.com/members/jaumemarti/clp001/1733572/0JPPxIfwHyjGTyjiAp7z

Sharpe Ratio it's near 1, very nice!!


photo

 Jonathan Kinlay, Quantitative Research and Trading | Leading Expert in Quantitative Algorithmic Trading Strategies

 Thursday, August 11, 2016



Hi Michael, I cant speak for Jaume, of course, but as i indicated in the post, this was intended simply as an illustration of the methodology and procedure, rather than as a finished system. If it's consistency of returns you want, there are much better alternatives that the strategy illustrated here.


photo

 Jaume Marti Albareda, Freelance, legal & updated Robin Hood

 Thursday, August 11, 2016



HI Jonthan, I explained my system because FUZZY LOGIC it's a new modern approach too, I don't like to discuss which one is better


photo

 John Devron, Computer Software Professional

 Saturday, August 13, 2016



At the core this is the root difference between Fuzzy Logic and Crisp Logic:

Fuzzy Logic uses expressions like A > B, or A < B.

Whereas Crisp Logic uses expressions like A == B, or A != B.

Fuzzy Logic was introduced by Intel in the early 90's and involves hyperbole, but is really much ado about nothing you aren't already familiar with.

It's just marketing lingo for the unaware.

Please login or register to post comments.

TRADING FUTURES AND OPTIONS INVOLVES SUBSTANTIAL RISK OF LOSS AND IS NOT SUITABLE FOR ALL INVESTORS
Terms Of UsePrivacy StatementCopyright 2018 Algorithmic Traders Association