register for the

event

Tuesday, October 15, 2024
10:00 AM EST | 7:30 PM IST | 10:00 PM SGT

About the Session

About the Session

Join us for an exclusive live webinar featuring Dr Ernest Chan and Dr Hamlet Medina. This session will explore how LLMs are transforming trading strategies through sentiment analysis, covering everything from the fundamentals of LLMs to building sentiment-driven trading strategies.

This webinar will offer actionable insights into using LLMs for extracting market sentiment from key events like Federal Reserve meetings and earnings calls and applying it to develop, test, and optimize trading strategies.

What we will cover

What we will cover

  • Introduction to Large Language Models (LLMs): Understand the basics of LLMs and their evolution in the context of generative AI and machine translation.
  • Sentiment Analysis for Trading: Learn how to use LLMs, such as finBERT, to extract sentiment scores from financial transcripts and integrate them into trading strategies.
  • Building Trading Strategies: Explore the development of sentiment-driven entry and exit signals and how to backtest your strategy for optimal performance.
  • Practical Applications: Delve into real-world applications, including variations in strategies based on sentiment analysis from events like FOMC meetings.
  • Overcoming Challenges: Learn the challenges of deploying LLMs in trading and how to fine-tune models for best results.

Pre-Requisites

Pre-Requisites

  • Fluency in Python, with experience using libraries such as Pandas, NumPy, and Matplotlib.
  • A basic understanding of machine learning and algorithmic trading concepts is recommended.

Who should attend?

Who should attend?

  • Algorithmic Traders: Looking to incorporate advanced sentiment analysis into your strategies.
  • Machine Learning Enthusiasts: Interested in applying LLMs in real-world financial scenarios.
  • Data Scientists & Analysts: Seeking to enhance your skills in financial modelling and sentiment analysis.
  • Financial Professionals: Keen to stay ahead of the curve by leveraging AI for more informed trading decisions.

About the Speaker

Dr. Ernest Chan
Dr. Ernest Chan
Founder and Chief Scientist, PredictNow.ai

Founder and Chief Scientist at PredictNow.ai and non-executive chairman at QTS Capital Management, LLC, Dr. Chan is a renowned figure in algorithmic trading. Author of several books on quantitative trading, Dr. Chan has deep expertise in machine learning applications in trading. He is also an adjunct faculty member at Northwestern University and maintains the popular "Quantitative Trading" blog.

Hamlet Jesse Medina
Hamlet Jesse Medina
Chief Data Scientist, Criteo

A senior data scientist at Criteo, Hamlet holds multiple advanced degrees in machine learning and has extensive experience in financial modeling and trading. He has been a top competitor in global financial data science competitions and specializes in statistical signal processing, time series analysis, and machine learning.

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