Financial Intelligent Systems • BSc research
Neural networks for an automated trading agent
Academic research into a neural-network trading agent for the S&P 500, trained with technical indicators and examples of successful trades.
Research question
The project examined whether a neural network could learn useful trading behavior from market indicators and examples of successful historical trades.
Contribution
For my BSc thesis, I researched and developed an automated trading agent focused on the S&P 500, using neural networks and technical indicators. The research also contributed to a Spanish-language book I coauthored.
Outcome
The project was an early applied exploration of machine learning in financial markets. Its value was primarily in the research process and the resulting technical foundation, rather than a claim of exceptional trading performance.