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Course Outline
Introduction to LLMs in Finance
- The role of AI and LLMs in financial analysis
- Overview of LLMs and their capabilities in text analysis
- Case studies: LLMs in financial forecasting and risk assessment
LLMs for Financial Data Processing
- Extracting financial indicators from unstructured data with LLMs
- Training LLMs on financial texts for sentiment analysis
- Correlating news sentiment with market movements
Building Predictive Models with LLMs
- Designing LLM-based models for stock price prediction
- Forecasting economic trends using LLM-generated insights
- Backtesting models with historical financial data
Integrating LLMs into Investment Strategies
- Incorporating LLM analytics into quantitative trading
- LLMs for portfolio optimization and risk management
- Communicating AI-driven insights to stakeholders
Hands-on Lab: Financial Market Prediction Project
- Setting up a financial data analysis environment with LLMs
- Developing a market prediction model using LLMs
- Evaluating model performance and making improvements
Summary and Next Steps
Requirements
- A basic understanding of financial markets and instruments
- Experience with Python programming and data analysis
- Familiarity with machine learning concepts and statistical models
Audience
- Financial analysts
- Data scientists
- Investment professionals
14 Hours
Delivery Options
Private Group Training
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- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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