Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours (2 days)
Course Outline
Introduction to LLMs in Finance
- The impact of AI and LLMs on financial analysis
- An overview of LLM capabilities in text processing
- Case studies exploring LLMs in financial forecasting and risk assessment
LLMs for Financial Data Processing
- Extracting key financial indicators from unstructured data using LLMs
- Training LLMs on financial texts for effective sentiment analysis
- Analyzing the correlation between news sentiment and market movements
Building Predictive Models with LLMs
- Designing LLM-based models for stock price forecasting
- Predicting economic trends using insights generated by LLMs
- Backtesting models against historical financial data
Integrating LLMs into Investment Strategies
- Incorporating LLM analytics into quantitative trading strategies
- Applying LLMs for portfolio optimization and risk management
- Effectively communicating AI-driven insights to stakeholders
Hands-on Lab: Financial Market Prediction Project
- Configuring a financial data analysis environment with LLMs
- Developing a market prediction model utilizing LLM capabilities
- Evaluating model performance and implementing iterative improvements
Requirements
- Fundamental knowledge of financial markets and instruments
- Proficiency in Python programming and data analysis
- Understanding of machine learning concepts and statistical models
Target Audience
- Financial analysts
- Data scientists
- Investment professionals
