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When the Market Speaks: A New Dataset That Actually Listens

TL;DR for operators FinMarBa is a useful reminder that in finance, sentiment is not what a sentence sounds like. Sentiment is what the market does after reading, absorbing, ignoring, overreacting to, or misunderstanding that sentence. Very elegant. Very inconvenient. The paper introduces a 61,252-headline financial sentiment dataset built from Bloomberg Market Wraps covering 2010 to January 2024.1 Instead of asking human annotators whether a headline feels positive, negative, or neutral, the authors use a market-based labelling process: extract headlines, identify relevant tickers with GPT-4, observe the next-day price reaction, compare that reaction with the ticker’s rolling five-year return distribution, and assign a label from that relative move. ...

August 3, 2025 · 15 min · Zelina
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Signals & Sentiments: How GPT-2 and FinBERT Beat Buy-and-Hold on the S&P 500

TL;DR for operators A recent arXiv paper tests whether financial-news sentiment from GPT-2 and FinBERT can improve S&P 500 trading when combined with technical indicators and time-series models.1 The strongest reported strategy, GPT-2 sentiment on Dow Jones news combined with VW MACD, returns 5.77% over the May 10-August 7, 2024 test period. The buy-and-hold benchmark returns -0.696% over the same window. ...

July 20, 2025 · 15 min · Zelina