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UID:2197786:Event:53976
DTSTAMP:20260428T100944Z
SUMMARY:OrlandoJUG - Predicting the Stock Market with Genetic Programm
 ing:
DESCRIPTION:Hello OrlandoJUG! \n\nThis month we have Dave Moskowitz i
 n from Sarasota for a fascinating talk. \n\nHere's the abstract for t
 he presentation.  There is a possibility of massive amounts of pizza!
  \n\nGenetic programming (GP) is a class of nature-inspired AI algori
 thms that aims to automatically generate a population of computer prog
 rams to solve a target problem where the solution is unknown. By defin
 ing a fitness function (a high-level statement of the problem) and app
 lying principles of Darwinian evolution (mating, survival of the fitte
 st), GP breeds a population of computer programs that achieve a higher
  level of fitness and come closer to an optimal solution over time.\n\
 nGP is most applicable to problems without deterministic solution. An 
 example of such a problem is stock market prediction. There is no cano
 nical theory on how to \"beat the market\". The most widely accepted b
 elief regarding this question is stated in the efficient market hypoth
 esis (EMH), which holds that no method can consistently beat the overa
 ll market, However, there is conflicting research from both the econom
 ic and AI communities regarding the validity of this hypothesis. While
  most research appears to deny the possibility of consistently beating
  the market after factoring in transaction costs, recent no transactio
 n cost trading platforms, such as Robinhood, as well as more powerful 
 and available data processing capabilities, make beating the market mo
 re in reach than ever.\n\nThe presentation will begin with an introduc
 tion to genetic programming, focusing on the more common tree-based (L
 ISP) representation. Other approaches to GP, as well differences betwe
 en genetic programming and genetic algorithms will also be discussed.\
 n\nA Java based GP system, developed by the speaker, will be used to i
 llustrate some basic GP examples. Finally, the  genetic programming a
 lgorithm will be run on the S&P 500 index using current market conditi
 ons to see what it predicts for the immediate future.\n\nThis talk wil
 l convince you that genetic programming is essentially an approachable
  technique that can be applied towards many problems in the area of nu
 meric optimization, prediction, design, or just about anything else yo
 u can do in a computer program.\n\nAbout the Speaker:\n\nDavid Moskowi
 tz is a Market Data Architect at Ned Davis Research in Venice Florida
  where he develops and maintains web and REST based financial data del
 ivery systems.  He is currently a PhD candidate in Computer Science a
 t Nova Southeastern University and is also the former chairman of the 
 Sarasota Java Users Group.\n\nAs always, I'll remind you to please do
 n't forget to drop by OrlandoJUG Town here at Codetown. The URL is ww
 w.orlandojug.com and it points to www.codetown.com/group/orlandojug.
  \n\nFeel free to invite a friend. Please RSVP so I'll know how much 
 pizza to order. \n\nFor more information visit https://codetown.com/e
 vents/orlandojug-predicting-the-stock-market-with-genetic-java-program
 m
DTSTART:20160324T220000Z
DTEND:20160325T000000Z
CATEGORIES:meeting
LOCATION:PowerDMS @ Church St Station
WEBSITE:http://www.orlandojug.com
URL:http://www.orlandojug.com
CONTACT:321-252-9322
ORGANIZER;CN="Michael Levin":https://codetown.com/profile/MichaelLevin
ATTACH;FMTTYPE="image/jpeg":http://storage.ning.com/topology/rest/1.0/
 file/get/2006956487?profile=original
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=ACCEPTED;RSVP=TRUE;CN="Kevin Fi
 sher":https://codetown.com/profile/1swa0zzi7a16j
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=ACCEPTED;RSVP=TRUE;CN="Axel Ulr
 ich":https://codetown.com/profile/AxelUlrich
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=ACCEPTED;RSVP=TRUE;CN="Tom Pasc
 o":https://codetown.com/profile/Tom
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=ACCEPTED;RSVP=TRUE;CN="Michael 
 Levin":https://codetown.com/profile/MichaelLevin
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=ACCEPTED;RSVP=TRUE;CN="David Mo
 skowitz":https://codetown.com/profile/DavidMoskowitz
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