Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
    financial analytics
    Financial Analytics Shows The Hidden Cost Of Not Switching Systems
    4 Min Read
    warehouse accidents
    Data Analytics and the Future of Warehouse Safety
    10 Min Read
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Interactive Brokers Collegiate Olympiad
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Analytics > Predictive Analytics > Interactive Brokers Collegiate Olympiad
Predictive Analytics

Interactive Brokers Collegiate Olympiad

Editor SDC
Editor SDC
5 Min Read
SHARE

I’m applying to enter Interactive Brokers’ automated trading contest. The “Strategy Plan” I submitted is below. This document is required before entering but I can change it until Dec. 31 (the list of securities is purposely long to give me some flexibility). My goal is to be profitable, not to take big risks for the $100k first prize. If anyone has experience with IB or Matlab and would like to offer help or criticize the plan, please do.

Max Dama
University of California Berkeley Haas School of Business
United States of America

Matlab with ActiveX API

Strategy I: Global Macro
Trade a long/short portfolio of the AMEX-listed ETFs below based on statistical learning theory. Learning algorithms used will be support vector regression, markov chain monte carlo, bayesian regression, genetic algorithms, and linear regression. Backtesting will be used to optimize the parameters of each learner. The Ada Boost meta learner will aggregate individual signals. Additional index data based on commodity futures, fixed income, forex, foreign stock exchanges, and options will be used as features for each learner. To generate more potentially useful features, clustering and markov regime change models wi…


I’m applying to enter Interactive Brokers’ automated trading contest. The “Strategy Plan” I submitted is below. This document is required before entering but I can change it until Dec. 31 (the list of securities is purposely long to give me some flexibility). My goal is to be profitable, not to take big risks for the $100k first prize. If anyone has experience with IB or Matlab and would like to offer help or criticize the plan, please do.

Max Dama
University of California Berkeley Haas School of Business
United States of America

Matlab with ActiveX API

Strategy I: Global Macro
Trade a long/short portfolio of the AMEX-listed ETFs below based on statistical learning theory. Learning algorithms used will be support vector regression, markov chain monte carlo, bayesian regression, genetic algorithms, and linear regression. Backtesting will be used to optimize the parameters of each learner. The Ada Boost meta learner will aggregate individual signals. Additional index data based on commodity futures, fixed income, forex, foreign stock exchanges, and options will be used as features for each learner. To generate more potentially useful features, clustering and markov regime change models will be applied to the data. Portfolio will be dynamically rebalanced based on mean variance portfolio theory every week. Trading signals will be generated up to once every 5 minutes. Positions will be held for less than 2 hours with exit conditions either x bp rise, determined by the learning algorithm, or a stop loss, both set prior to entry.

All securities below that will be traded are on the AMEX.
BIL SPDR Lehman 1-3 Month T-Bill ETF
BWV iPath CBOE S&P 500 BuyWrite Index ETN
BWX SPDR Lehman International Treasury Bond
DBA PowerShares DB Agriculture Fund
DBB PowerShares DB Base Metals Fund
DBE PowerShares DB Energy Fund
DIA DIAMONDS Trust Series I
EEV UltraShort MSCI Emerging Markets ProShares
SHM SPDR Lehman Short Term Municipal Bond ETF
EWA iShares MSCI Australia Index Fund
EWC iShares MSCI Canada Index Fund
EWD iShares MSCI Sweden Index Fund
EWG iShares MSCI Germany Index Fund
EWH iShares MSCI Hong Kong Index Fund
EWI iShares MSCI Italy Index Fund
EWJ iShares MSCI Japan Index Fund
EWK iShares MSCI Belgium Investable Market Index Fund
EWL iShares MSCI Switzerland Index Fund
EWM iShares MSCI Malaysia Index Fund
EWN iShares MSCI Netherlands Investable Market Index Fund
EWO iShares MSCI Austria Investable Market Index Fund
EWP iShares MSCI Spain Index Fund
EWQ iShares MSCI France Index Fund
EWS iShares MSCI Singapore Index Fund
EWT iShares MSCI Taiwan Index Fund
EWU iShares MSCI United Kingdom Index Fund
EWV UltraShort MSCI Japan ProShares
EWW iShares MSCI Mexico Investable Market Index Fund
EWX SPDR S&P Emerging Small Cap ETF
EWY iShares MSCI South Korea Index Fund
EWZ iShares MSCI Brazil Index Fund
HHH Internet HOLDRs Trust
IVV iShares S&P 500 Index Fund/US
IWB iShares Russell 1000 Index Fund
IWM iShares Russell 2000 Index Fund
IWV iShares Russell 3000 Index Fund
XLB Materials Select Sector SPDR Fund
XLE Energy Select Sector SPDR Fund
XLF Financial Select Sector SPDR Fund
XLI Industrial Select Sector SPDR Fund
XLK Technology Select Sector SPDR Fund
XLP Consumer Staples Select Sector SPDR Fund
XLU Utilities Select Sector SPDR Fund
XLV Health Care Select Sector SPDR Fund
XLY Consumer Discretionary Select Sector SPDR Fund
BBH Biotech HOLDRs Trust
OIH Oil Service HOLDRs Trust
PPH Pharmaceutical HOLDRs Trust
RKH Regional Bank HOLDRs Trust
RTH Retail HOLDRs Trust

More Read

Image
How Big Data Can Impact the Mining Industry
Interview: Karl Rexer – Rexer Analytics
Operational Deployment of Predictive Solutions: Lost in Translation? Not with PMML
Keeping Sales & Marketing Data in Order: What startups must learn from the enterprise.
Web 2.0 – Ensuring Your Data is the Asset
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

protecting patient data
How to Protect Psychotherapy Data in a Digital Practice
Big Data Exclusive Security
data analytics
How Data Analytics Can Help You Construct A Financial Weather Map
Analytics Exclusive Infographic
AI use in payment methods
AI Shows How Payment Delays Disrupt Your Business
Artificial Intelligence Exclusive Infographic
financial analytics
Financial Analytics Shows The Hidden Cost Of Not Switching Systems
Analytics Exclusive Infographic

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Amazon Extends SimpleDB

3 Min Read

Data Mining Fundamentals: Khabaza’s 9 Laws of Data Mining

10 Min Read

How Nate Silver Won the Election with Data Science

10 Min Read

Intro to Pervasive Business Intelligence (via…

0 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?