<img height="1" width="1" style="display:none" src="https://www.facebook.com/tr?id=1406241429584765&amp;ev=PageView&amp;noscript=1">
Webinar PART 2 of 3

Discovering Signal in Financial Time-Series: Where and How to Start

Signal Generation and Selection in-depth for Time-series Data

 

Date: Thursday June 18th, 2020

Time: 17:00 British Summer Time (BST)

In Part 1 of our webinar series on discovering signal in financial time-series data, Stanley Speel, Product Owner at Mind Foundry, walked you through constructing a state-of-the-art AI-driven trading strategy, by forecasting commodity time-series data, and constructing a three-asset portfolio adjusted on predictive risk.

Join us for Part 2 as we show you how to use Mind Foundry Horizon to discover signals to address one of the most challenging areas of machine learning - time-series forecasting.

Generating meaningful signals and relationships in time-series data is often the key to building accurate forecasting models. 

In this webinar, Stanley will walk you through:

  • Preparing time-series historical data for a regression model
  • Methods for isolating and selecting relevant and independent signals
  • Network-based approaches for identifying and modelling relationships between multiple time-varying signals
StanleySpeel-Circle
Stanley Speel
Product Owner

Register Now

 

Stanley is a University of Oxford graduate
and a former AI Research Scientist who
is now Product Owner of Mind Foundry's
Horizon Product.   

Learn About Horizon