AI case study

Capital Fund ManagementFinancial news tagging

Vendor tags missed key stock data. CFM now uses LLMs to train compact models, cutting costs 80x with 93% accuracy.

Published|10 months ago

Key results

Accuracy Improvement
+6.4%

Result highlights

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The story

Context

An alternative investment firm managing $15.5 billion in assets leverages quantitative strategies that rely on processing massive streams of financial news data.

Challenge

Accurately identifying companies and stocks in news articles is critical for trading algorithms, but vendor-supplied tags are often incomplete....

Solution
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Scope & timeline

  • Data labeling time cut from 30s to 5-10s
  • 1,000 samples processed in 2 mins vs 3 hours

The company

Capital Fund Management logo

Capital Fund Management

cfm.com

Global systematic asset manager specializing in quantitative investment strategies.

IndustryFinancial Services
LocationParis, France
Employees251-1K
Founded1991

The AI provider

Hugging Face logo

Hugging Face

huggingface.co

Open-source platform for collaborating on machine learning models, datasets, and apps.

IndustrySoftware & Platforms
LocationNew York, NY, USA
Employees251-1K
Founded2016

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