On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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3 results for “MarketSenseAI”

MarketSenseAI 2.0: Enhancing Stock Analysis through LLM Agentsq-fin.CP

MarketSenseAI uses LLMs to improve stock analysis and outperforms benchmarks.

problem Improving accuracy in stock analysis and selection.

method Combining LLMs with SEC filings, earnings calls, and macroeconomic reports.

result Significant improvement in fundamental analysis accuracy and outperformance of benchmarks.

MarketSenseAI LLMs Stock Analysis Financial News Earnings Calls

2025-02-01abs ↗pdf ↗

Can Large Language Models Beat Wall Street? Unveiling the Potential of AI in Stock Selectionq-fin.CP

MarketSenseAI uses AI to select stocks with 10-30% excess alpha.

problem Selecting profitable stocks in financial markets.

method Integrates GPT-4 for analyzing diverse data and decision-making.

result Demonstrated exceptional performance with up to 72% cumulative return.

Large Language Models Stock Selection Financial Markets Excess Alpha AI Investment

2024-01-08abs ↗pdf ↗

Signal or Noise in Multi-Agent LLM-based Stock Recommendations?q-fin.PM

MarketSenseAI system outperforms passive benchmarks by 25.2% on S&P 500, adding value over random selection.

problem Identifying alpha in stock recommendations from multi-agent LLM systems.

method Deployed multi-agent LLM equity system generating live signals, combining four specialist agents into a synthesis agent.

result Strong-buy equal-weight portfolio on S&P 500 earns +2.18%/month, significantly outperforming passive benchmarks.

Multi-Agent LLM Stock Recommendations Alpha Identification MarketSenseAI S&P 500

2026-04-19abs ↗pdf ↗