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#factor-discovery News & Analysis

2 articles tagged with #factor-discovery. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AI × CryptoBullisharXiv – CS AI · Jun 236/10
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AlphaMemo: Structured Search-Process Memory for Self-Evolving Alpha Mining Agents

AlphaMemo is a new LLM-based agent framework that improves automated financial factor discovery by using structured memory of past search patterns rather than naive trajectory replay. The system records reusable evidence about which code modifications succeed or fail in specific contexts, demonstrating better out-of-sample performance on major indices while reducing redundant exploration.

AIBullisharXiv – CS AI · May 96/10
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AlphaCrafter: A Full-Stack Multi-Agent Framework for Cross-Sectional Quantitative Trading

Researchers introduce AlphaCrafter, a multi-agent AI framework that automates quantitative trading by continuously discovering trading factors, adapting to market regimes, and executing trades with risk constraints. Tested on CSI 300 and S&P 500 indices, the system outperforms existing baselines in risk-adjusted returns, addressing a critical gap in fully automated, adaptive trading pipeline design.