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Duration 14 hours
Course Outline
Introduction to LLMs in Finance
- The significance of AI and LLMs in financial analysis
- A broad overview of LLMs and their text analysis capabilities
- Case studies: Utilizing 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 to perform sentiment analysis
- Analyzing the correlation between news sentiment and market movements
Building Predictive Models with LLMs
- Architecting LLM-based models for stock price forecasting
- Predicting economic trends by leveraging LLM-generated insights
- Conducting backtesting of models using historical financial data
Integrating LLMs into Investment Strategies
- Embedding LLM analytics into quantitative trading strategies
- Applying LLMs to 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 integrated with LLMs
- Creating a market prediction model utilizing LLMs
- Assessing model performance and implementing iterative improvements
Requirements
- Fundamental knowledge of financial markets and financial instruments
- Practical experience with Python programming and data analysis techniques
- Proficiency in machine learning concepts and statistical modeling
Target Audience
- Financial analysts
- Data scientists
- Investment professionals
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 3200 € + VAT*
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