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Course Outline
Introduction to LLMs in the Financial Sector
- The role of AI and LLMs in modern financial analysis
- An overview of LLMs and their specific capabilities in text analysis
- Case studies demonstrating LLMs in financial forecasting and risk assessment
Processing Financial Data with LLMs
- Extracting key financial indicators from unstructured data using LLMs
- Training LLMs on financial texts to perform sentiment analysis
- Analyzing the correlation between news sentiment and market movements
Constructing Predictive Models with LLMs
- Designing LLM-based models specifically for stock price prediction
- Forecasting economic trends by leveraging LLM-generated insights
- Backtesting models against historical financial data
Integrating LLMs into Investment Strategies
- Incorporating LLM analytics into quantitative trading strategies
- Utilizing LLMs for portfolio optimization and effective risk management
- Effectively communicating AI-driven insights to key stakeholders
Practical Lab: Financial Market Forecasting Project
- Setting up a robust financial data analysis environment using LLMs
- Building a market prediction model powered by LLMs
- Evaluating model performance and implementing iterative improvements
Requirements
- A foundational understanding of financial markets and instruments
- Proficiency in Python programming and data analysis
- Familiarity with machine learning concepts and statistical modelling
Target Audience
- Financial analysts
- Data scientists
- Investment professionals
14 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 2600 € + VAT*
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