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Snowflake BattleFin LSEG & S&P Global Present Data Science Track at Discovery Day NYC

Snowflake BattleFin LSEG & S&P Global Present Data Science Track at Discovery Day NYC

Trading & Investing

New York, NY – May 21, 2024 – The Data Science Track at BattleFin’s Discovery Day NYC promises to be an event of unparalleled significance for data professionals, taking place aboard the historic Intrepid Sea, Air & Space Museum. From 2 PM to 5 PM, leading companies in the field—Snowflake, BattleFin, London Stock Exchange Group (LSEG), and S&P Global—will present a series of interactive workshops and sessions designed to enhance the skills of attendees and provide insights into the latest advancements in data science.

BattleFin Data Science Track Overview

The Data Science Track offers a unique opportunity for participants to engage in hands-on workshops led by industry experts. Focused on building sophisticated forecasting frameworks, the sessions will cover a diverse array of topics, including the integration of structured and unstructured data, and the application of large language models (LLMs) to uncover market signals.

Key Topics to Be Covered:

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  • Short-term Signals: Leveraging news and social media during non-trading hours to predict stock price movements at market opening, based on the 2022 research by Gan, Alexeev, and Yeung.
  • Long-term Signals: Utilizing sentiment analysis from news and social media to develop multi-factor models for alpha strategies with monthly investment horizons.

Jonathan Regenstein, Head of Financial Services Data Science at Snowflake, will lead several sessions focusing on these innovative approaches. Participants will learn practical applications of machine learning tools to enhance their trading strategies.

Session Highlights

3:15 PM – 3:45 PM: Introducing LLM Efficiency Gain with S&P Data/Research on LLMs

This session will delve into how to effectively integrate S&P data into models, utilizing Snowflake AI for vectorization and implementing a Risk Chat App. Key topics include:

  • Safe introduction of S&P data into financial models.
  • Creation of vector embeddings of SEC filings directly within Snowflake.
  • Strategies for prompt engineering to refine LLM outputs.
  • Deployment of Arctic and Mistral LLMs for natural language question and answer capabilities.
  • Delivery of results through a Streamlit chat interface.

Additionally, the session will explore LLMs for alpha generation, focusing on sentiment extraction and the enhancement of efficiency by merging traditional NLP techniques with advanced LLMs. Attendees will gain insights into transforming textual data into numerical features, essential for sentiment-driven alpha generation.

About the Presenters

Snowflake is renowned for its cutting-edge data cloud technology, enabling organizations to mobilize data with near-infinite scalability.

BattleFin is a leading innovator in alternative data and investment strategies, fostering collaboration among data professionals through its unique events.

London Stock Exchange Group (LSEG) is a global financial markets infrastructure and data provider, committed to enhancing the efficiency of financial markets worldwide.

S&P Global offers essential intelligence, providing data and insights that help individuals, companies, and governments make decisions with conviction.

The Data Science Track at Discovery Day NYC is set to be a transformative experience for all attendees. By participating in these sessions, data professionals will have the opportunity to stay at the forefront of the fast-evolving field of data science, gaining practical skills and knowledge that can be directly applied to their work.

For more information and to register for the event, visit the Discovery Day NYC website.

Snowflake BattleFin LSEG & S&P Global Present Data Science Track at Discovery Day NYC