Increase Alpha: Performance and Risk of an AI-Driven Trading Framework

By Sid Ghatak, Arman Khaledian, Navid Parvini, Nariman Khaledian

Published 2025-10-14

Everscope rating

1170.4

Relevance to quantitative trading

9 / 10

Implementation complexity

7 / 10

Reproducibility

1 / 5

About this paper

Methodology: Domain-Focused Deep Learning with Expert-Curated Features. Problem types: Classification, Time Series Forecasting, Portfolio Optimization, Risk Management, Algorithmic Execution, Optimization.

arXiv:2509.16707 · Paper rankings

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