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05 June 2025 Economics & Growth

Ep. 311: Ralph Sueppel on Quant Trading Macro the Right Way

Bilal Hafeez

By Bilal Hafeez
1 min read

Ralph Sueppel is Managing Director for Research and Trading Strategies at Macrosynergy. Previously, he was an Executive Member and Portfolio Manager at Graham Capital. During his tenure there, he created the Systemic Risk and Systematic Value Project (now Macrosynergy Research), a non-profit project dedicated to educating the broader financial community on the merits of socially responsible macro trading strategies. Before Graham, Ralph was head of quant macro and algorithmic strategies at UBS and worked as Senior Strategist and Portfolio Manager at BlueCrest Capital. Ralph began his career at J.P. Morgan in 1993. In this podcast we discuss:

Difference between academic and real-world quant
What is ‘quantamental’?
Typical quantitative macro strategies vs quantamental stratgies
Dealing with data revisions and release dates
Challenge of using data like GDP
How to use AI in data construction
Purpose of Nowcasting
Examples of quantamental trading strategies
Timing fixed income and equity markets using macro
Comparing trading returns using revised vs unrevised data
What data providers to use
Current signals and best indicators
Enhancing trend models and risk premia (carry) strategies
Predicting systemic financial events
How best to use AI
Books: War and Peace (Tolstoy)

You can follow Ralph’s work here.

Make sure to subscribe to the show on Apple, Spotify, YouTube, or wherever you go for your podcasts. You can follow us on Twitter and LinkedIn.

(The commentary contained in the above article does not constitute an offer or a solicitation, or a recommendation to implement or liquidate an investment or to carry out any other transaction. It should not be used as a basis for any investment decision or other decision. Any investment decision should be based on appropriate professional advice specific to your needs. You are not permitted to publish, transmit, or otherwise reproduce this information, in whole or in part, in any format to any third party without the express written consent of Macro Hive. This includes providing or reproducing this information, in whole or in part, as a prompt.)

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