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Course Outline
The Role of AI in Trading and Asset Management
- Emerging trends in algorithmic and AI-based trading.
- An overview of quantitative finance workflows.
- Essential tools, platforms, and data sources.
Handling Financial Data with Python
- Managing time series data using Pandas.
- Data cleaning, transformation, and feature engineering processes.
- Construction of financial indicators and signals.
Supervised Learning for Trading Signals
- Regression and classification models for market prediction.
- Assessment of predictive models (e.g., accuracy, precision, Sharpe ratio).
- Case study: Developing an ML-based signal generator.
Unsupervised Learning and Market Regimes
- Clustering techniques for identifying volatility regimes.
- Dimensionality reduction for discovering patterns.
- Applications in basket trading and risk grouping.
Portfolio Optimisation using AI Techniques
- The Markowitz framework and its inherent limitations.
- Risk parity, Black-Litterman, and ML-based optimisation methods.
- Dynamic rebalancing informed by predictive inputs.
Backtesting and Strategy Assessment
- Utilising Backtrader or custom frameworks for testing.
- Analysis of risk-adjusted performance metrics.
- Mitigating overfitting and look-ahead bias.
Deploying AI Models in Live Trading
- Integration with trading APIs and execution platforms.
- Model monitoring and re-training cycles.
- Ethical, regulatory, and operational considerations.
Summary and Next Steps
Requirements
- A solid grasp of fundamental statistics and financial markets.
- Practical experience with Python programming.
- Familiarity with time series data analysis.
Target Audience
- Quantitative analysts.
- Trading professionals.
- Portfolio managers.
21 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 3900 € + VAT*
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