A MarketPsych Webinar
Finding Alpha in Global Markets:
How LLMs are Revolutionizing Investing
On Demand Webinar
According to some, the information embedded in text such as news, transcripts, filings, and social media is responsible for the majority of large asset price moves.
Large language models (LLMs) process and find value in such text with tremendous skill, and time-series LLMs hold new promise for quants.
Join MarketPsych on Thursday, July 25th for an insightful discussion as we survey the transformative power of large language models in systematic investing. In this 45-minute session, Richard Peterson and Anthony Luciani will discuss the use of LLMs in systematic investing, including document preparation, how LLM tools pull unique market-moving insights out of documents, and how sentiment and thematic analytics drive systematic returns.
Additionally, they'll cover the latest academic research and MarketPsych's live predictive model. Attendees will learn how large language models are revolutionizing the production of analytics, the discovery of alpha, and the management of risk in financial markets, with practical takeaways that can be applied to their own investment strategies.
Event info
Date Recorded: Thursday, July 25, 2024
Duration: 60 minutes
Location: Virtual
Meet the speakers
Dr. Richard Peterson, Chairman, MarketPsych Data
Richard Peterson founded MarketPsych Data which produces sentiment and thematic analytics on financial text including news, social media, transcripts, and more. MarketPsych’s data is consumed by the world’s largest hedge funds, banks, and governments. Dr. Peterson is the author of "Inside the Investor's Brain" (Wiley, 2007) and "Trading on Sentiment" (Wiley, 2016). He trained as a psychiatrist, is an award-winning financial writer, and serves as an associate editor of the Journal of Behavioral Finance.
Anthony Luciani, Senior Quantitative Researcher, MarketPsych Data
With a Master's in Mathematics at the University of Leicester, Anthony adheres to strict data science principles in order to construct and validate sentiment-based signals and relative value models, primarily within the equities space. Additionally, Anthony used closed and open-source LLMs to build financial products including an AI-summarized real-time newsfeed.
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For more information on how LSEG uses your data, see our Privacy Statement.
You can adjust your preferences at any time through the preference link in any electronic communication that you receive from us.For more information on how LSEG uses your data, see our Privacy Statement.
You can adjust your preferences at any time through the preference link in any electronic communication that you receive from us.
About MarketPsych
Since 2004 MarketPsych has been leading research into natural language processing (NLP) and AI for financial applications. We are known for producing high-quality, rigorous, and point-in-time sentiment data.
We help organizations extract value and insights from large amounts of text - quickly and easily. Our products enhance client returns, reduce risk, and unearth key insights. Our clients are among the most sophisticated investment funds, banks, research firms, and agencies globally.
Our analytics identify and publish thousands of events, topics, perceptions, and sentiments in the information flow about millions of entities and assets. We map assets point in time across all common identifiers.
