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
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
    data driven risk management in heatlhcare
    How Data Analytics Is Changing Healthcare Risk Management
    17 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: History
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 > History
Predictive Analytics

History

Editor SDC
Editor SDC
3 Min Read
SHARE

It’s informative to see the history of automated trading to realize that it hasn’t been around for very long so applying cutting edge machine learning could still give an edge.

All of these are by David Leinweber, who was one of the first to use AI methods for trading. Dr. Leinweber also founded the Center for Innovative Financial Technology (CIFT) at Berkeley’s Haas School of Business, which provides many automated trading related resources for students. Here’s an excerpt of his biography, Nerds on Wall Street.

This article from the Journal of Portfolio Management describes how one of the first AI-based systems worked, complete with pictures. “Intelligence amplification” did not end up trumping fully automated systems but I think it’s one of a few paths which trading systems could have gone which may still be fruitful in the future.

This next article covers the algo execution arms race. Obviously no one wants to get gamed when they are transacting a large volume.

More Read

Robert McNamara: good analytics, bad judgment
Attribution Analysis and Campaign Efficiency – Getting More Bang for your Buck
Conjoint / Discrete Choice In Segmentation
Interactive Analysis and Related Tools – Part II
What Is Your Dashboard Telling You?

Finally this Google Tech Talk entertainingly describes the electronification of markets:


It’s informative to see the history of automated trading to realize that it hasn’t been around for very long so applying cutting edge machine learning could still give an edge.

All of these are by David Leinweber, who was one of the first to use AI methods for trading. Dr. Leinweber also founded the Center for Innovative Financial Technology (CIFT) at Berkeley’s Haas School of Business, which provides many automated trading related resources for students. Here’s an excerpt of his biography, Nerds on Wall Street.

This article from the Journal of Portfolio Management describes how one of the first AI-based systems worked, complete with pictures. “Intelligence amplification” did not end up trumping fully automated systems but I think it’s one of a few paths which trading systems could have gone which may still be fruitful in the future.

This next article covers the algo execution arms race. Obviously no one wants to get gamed when they are transacting a large volume.

Finally this Google Tech Talk entertainingly describes the electronification of markets:

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Industrial IoT (IIoT) Implementation: A Step-by-Step Guide for Manufacturers -- AI-generated illustration
Industrial IoT (IIoT) Implementation: A Step-by-Step Guide for Manufacturers
Exclusive
How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
Analytics Big Data Exclusive Predictive Analytics
Top 20 Git Commands for Modern Development -- AI-generated illustration
Top 20 Git Commands for Modern Development
Exclusive
managed device response
Why MDR Is Essential for Big Data Security
Big Data Exclusive Security

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Electronic Vision

1 Min Read

Can Ants Help Solve Traffic Jams?

0 Min Read

Researchers at the University of Edinburgh in Scotland…

1 Min Read

Big Data Blasphemy: Why Sample?

8 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 and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?