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Duration 21 hours
Course Outline
Application of AI in Trading and Asset Management Operations
- Current trends in algorithmic and AI-driven market execution
- Overview of quantitative finance operational workflows
- Essential tools, platforms, and data repositories for government financial management
Managing Financial Data with Python
- Processing time series data using the Pandas library
- Data hygiene, transformation, and feature engineering protocols
- Construction of financial indicators and analytical signals
Supervised Learning for Trade Signal Generation
- Regression and classification models for market forecasting
- Assessment of predictive accuracy, precision, and Sharpe ratios
- Case study: Development of an ML-based signal generator for government use
Unsupervised Learning and Market Condition Analysis
- Clustering techniques for identifying volatility regimes
- Dimensionality reduction for structural pattern discovery
- Applications in basket trading and risk segmentation
Portfolio Optimization Using AI Methods
- The Markowitz framework and its inherent limitations
- Risk parity, Black-Litterman, and ML-based optimization strategies
- Dynamic rebalancing incorporating predictive inputs
Backtesting and Strategy Assessment
- Utilization of Backtrader or proprietary testing frameworks
- Risk-adjusted performance measurement metrics
- Mitigation of overfitting and look-ahead bias
Deployment of AI Models in Live Trading Environments
- Integration with trading APIs and execution platforms
- Continuous model monitoring and re-training cycles
- Ethical, regulatory, and operational compliance for government entities
Summary and Recommended Next Steps
Requirements
- Foundational knowledge of basic statistics and financial market mechanics
- Proficiency in Python programming
- Familiarity with time series data analysis
Target Audience
- Quantitative analysts
- Trading professionals
- Portfolio managers
Testimonials (1)
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