Trading

Evolutionary Finance, Simulations and the Agent-Based Approach - DSA ADS Course - 2023

DSA ADS Course - 2023

This DSA ADS course is part of a series of courses that demonstrate how to use applied data science with high performance compute and high quality data to optimize decision making in real world investing / trading scenarios.

Discuss experiments in evolution and learning as applied to financial markets: descriptive, individual decision, and field experiments.

Agent-based Computational Finance: DSA ADS Course - 2023

DSA ADS Course - 2023

This DSA ADS course is part of a series of courses that demonstrate how to use applied data science with high performance compute and high quality data to optimize decision making in real world investing / trading scenarios.

Discuss evolutionary finance, financial time series, asset pricing, efficient markets, behavioral finance, market microstructure, genetic algorithms, neural networks, artificial financial markets, and evolutionary computation.

Capital Allocation: Results, Analysis, and Assessment - DSA ADS Course - 2023

DSA ADS Course - 2023

This DSA ADS course is part of a series of courses that demonstrate how to use applied data science with high performance compute and high quality data to optimize decision making in real world investing / trading scenarios.

Discuss how to use applied data science to make optimal capital allocation decisions.

Discuss capital allocation decisions for investors / traders. How to assess management's capital allocation skills? Discuss asset allocation, asset selection, and rebalancing.

Algorithmic Trading of Futures via Machine Learning - DSA ADS Course - 2023

DSA ADS Course - 2023

This DSA ADS course is part of a series of courses that demonstrate how to use applied data science with high performance compute and high quality data to optimize decision making in real world investing / trading scenarios.

Discuss how to use applied data science with machine learning algorithms to trade futures.

Discuss strategies for trading financial futures based solely on past trading data.

Discuss using machine learning techniques to obtain scenarios for future price and volatility.

Quantifying the Behavior of Stock Correlations Under Market Stress: DSA ADS Course - 2023

DSA ADS Course - 2023

This DSA ADS course is part of a series of courses that demonstrate how to use applied data science with high performance compute and high quality data to optimize decision making in real world investing / trading scenarios.

Discuss complex systems and how to use multiple conceptual frameworks in attempt to understand dynamics of different complex system types.

Discuss correlations in complex systems using financial systems and quantifying state-dependent correlations in stock markets as example.

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