Authors: Georgios Fatouros, Konstantinos Metaxas, John Soldatos, Dimosthenis Kyriazis

Published on: January 08, 2024

Impact Score: 8.15

Arxiv code: Arxiv:2401.03737

Summary

• What is new: Introducing MarketSenseAI, a GPT-4-based framework using advanced reasoning for stock selection, unique in its integration of Chain of Thought and In-Context Learning methodologies.
• Why this is important: The need for an AI system that can emulate financial investment team decision-making processes, analyze diverse financial data, and provide reliable investment signals.
• What the research proposes: MarketSenseAI framework leveraging GPT-4, capable of data analysis and generating actionable investment signals with explanations.
• Results: MarketSenseAI outperformed the benchmark index by 13%, achieving up to 40% returns, with a risk profile comparable to the market.

Technical Details

Technological frameworks used: MarketSenseAI, GPT-4-based AI framework

Models used: Chain of Thought, In-Context Learning

Data used: Market price dynamics, financial news, company fundamentals, macroeconomic reports

Potential Impact

Financial markets, investment firms, AI-driven analytics companies

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