The Gateway to Algorithmic and Automated Trading

AI, Machine Learning and Sentiment Analysis Applied to Finance

Unicom

14 Jul 2016 - 15 Jul 2016

London

Details: click here

Register: click here

AI and Machine Learning have emerged as a central aspect of analytics which is applied to multiple domains. AI and Machine Learning, Pattern classifiers and natural language processing (NLP) underpin Sentiment Analysis (SA); SA is a technology that makes rapid assessment of the sentiments expressed in news releases as well as other media sources such as Twitter and blogs. This conference addresses and explains how to extract sentiment from these multiple sources of information and showcases the advances that have taken place in the field of financial innovation.

This conference builds on the findings of the six previous highly-regarded conferences on this topic. It highlights the recent developments in the application of AI and machine learning to trading strategies including automatic and algorithmic trading, quantitative fund management.

Topics to be covered include:

  • Using AI to Integrate Behavioral Insights into Investment Strategies
  • From News to Protests: Measuring Human Behaviour Around the World
  • Exploiting Alternative Data in the Investment Process
  • Beating Markowitz with Sentiment and Downside Risk Control
  • Panel: Adoption of AI, Machine Learning & Classical models in trading strategies and
  • risk control
  • Innovative Ways of Gauging Sentiment to Trade FX & Open Source Software in Finance
  • Text Mining and Deep Learning for Sentiment Analysis
  • Social Media, News Media and the Stock Market
  • Social Listening & Financial Crowd-Intelligence
  • Deep Learning in Natural Language Processing
  • An Era of Emerging Data: APIs, Unstructured Text, and Crowd Trading

Speakers to date:

Merve Alanyali, Warwick Business School, University of Warwick

Saeed Amen, The Thalesians

Anders Bally, Sentifi

James Cantarella, Thomson Reuters

Pierce Crosby, StockTwits

Elijah DePalma, Thomson Reuters

Armando Gonzalez, RavenPack;

Peter Hafez, RavenPack

Peiran Jiao, University of Oxford

Enza Messina, University of Milano-Bicocca

Gautam Mitra, OptiRisk Systems

Debora Nozza, University of Milano-Bicocca

Tilman Sayer, OptiRisk Systems

Xiang Yu, OptiRisk Systems

Edin Zajmovic, Thomson Reuters

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