Naif AlQahtani, CAIP, CDSP, ITIL4®

تخصص الذكاء الاصطناعي · دفعة 2024

Insight: AI Stock Prediction

This report explores the application of Deep Reinforcement Learning (RL), specifically the Deep Deterministic Policy Gradient (DDPG) algorithm, in predicting and optimizing trading decisions in the Saudi stock market. The goal is to assess the model’s ability to outperform traditional strategies like buy-and-hold. The experiments reveal varied outcomes: in the best scenarios, the model mimicked the buy-and-hold strategy, achieving similar returns; in good scenarios, it managed to make profitable trades, although still close to buy-and-hold performance; in bad scenarios, it underperformed, highlighting the model's volatility; and in some cases, it failed to learn any effective trading strategy, resulting in poor performance. These results indicate that while DDPG shows promise, its current form is unstable and inconsistent, requiring further research to enhance its reliability and effectiveness in real-world trading environments.

اقرأ التقرير النهائي (PDF)

اطّلع عليه في تقرير البرنامج (PDF)

تخصص الذكاء الاصطناعي · دفعة 2023

Talseen

Only 3% of online content in Arabic exists. Talseen, the solution, employs AI dubbing to Arabic content while preserving voice character and lip sync.

اطّلع عليه في تقرير البرنامج (PDF)