How to predict market performance with News and Market Sentiment data (Cracking the Code)

Available On Demand

It's time to dive deep into the practical application of media sentiment data. Join our exclusive workshop and learn about using Jupyter Notebooks to create market forecasts with news/social media data. Hear from MarketPsych & Refinitiv experts, and get any of your questions answered.

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In just under 40 minutes, you'll learn:

  • How to create Market Forecasts with News and Social Media Data using Jupyter Notebooks
  • What are the predictive effects of media sentiment across multiple asset classes
  • What are the key Refinitiv-MarketPsych Indices (RMI) across asset classes
You will meet with
Anthony Luciani,

Quantitative Analyst

Anthony Luciani is a quantitative analyst at MarketPsych where he researches media sentiment data, investor behavioural biases, and their predictive significance across asset classes. Prior to MarketPsych, he received his Master's in Financial Mathematics and Computation at the University of Leicester in the UK and worked with OptiRisk Systems in the field of sentiment analysis. During his work on the StarMine MarketPsych Media Sentiment data, Anthony integrated investor sentiment with financial theory to develop outperforming stock ranking models.
Teresa Halsey, CFA

Customer Success Manager, Asset Management


Teresa is a Customer Success Manager at Refinitiv covering buyside workflows for some of the largest asset managers and hedge funds globally. She has been with Thomson Reuters/Refinitiv for just under 10 years and is especially skilled in the research and portfolio analytics & risk capabilities in the flagship Eikon platform. She often communicates the underlying methodologies behind the Starmine models to end users and how they might be used in idea generation.

Ronak Patel

Solutions Consultant


Ronak Patel is a Solutions Consultant at Refinitiv specialized in Refinitiv Data APIs and Feeds. He has been with Refinitiv since 2019 and is skilled in data science and machine learning. Ronak works with clients to access the data programatically to feed their models and analysis to help find alpha

Have you secured your spot?

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