3 Data-Centric Approach for FinLLMs
For financial large language models (FinLLMs), a success-
ful strategy is not solely based on the capability of the model
architecture but is equally reliant on the training data. Our
data-centric approach prioritizes collecting, preparing, and
processing high-quality data.
3.1 Financial Data and Unique Characteristics
Financial data comes from a variety of sources, with unique
characteristics. We delve into the specifics of different finan-
cial data sources, such as Financial News, Company Fillings,
Social Media Discussions, and Company Announcements.

Financial news carries vital information about the world
economy, specific industries, and individual companies. This
data source typically features:
• Timeliness: Financial news reports are timely and up-to-
date, often capturing the most recent developments in the
financial world.
FinGPT-Open-SourceFinancialLargeLanguageModels