Artificial Intelligence in Equity and Crypto Markets: Progress, Profitability Evidence, and the Limits of Automated Investing

By Linsen Zhu, Mengqing Cai

Published 2026-09-04

Everscope rating

1400.3

Relevance to quantitative trading

10 / 10

Implementation complexity

1 / 10

Reproducibility

2 / 5

About this paper

Methodology: Critical State-of-the-Art Review with Alpha-Translation Chain Framework. Problem types: Portfolio Optimization, Risk Management, Time Series Forecasting, Natural Language Processing, Reinforcement Learning, Algorithmic Execution, Market Making, Classification, Regression, Ranking, Transfer Learning, Zero-Shot Learning, Online Learning, Anomaly Detection, Sequence-to-Sequence Learning, Multi-task Learning, Optimization, Causal Inference, Density Estimation, Pairs Trading, Cross-asset prediction, Event extraction, Sentiment analysis, Agent-based decision making.

arXiv:2609.04917 · Paper rankings

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