4 Overview of FinGPT: An Open-Source

Framework for FinLLMs

FinGPT represents an innovative open-source framework
designed specifically for applying large language models
(LLMs) within the financial domain. As delineated in Fig.
1, FinGPT consists of four fundamental components: Data
Source, Data Engineering, LLMs, and Applications. Each of
these components plays a crucial role in maintaining the func-
tionality and adaptability of FinGPT in addressing dynamic
financial data and market conditions.
• Data source layer: The starting point of the FinGPT
pipeline is the Data Source Layer, which orchestrates the
acquisition of extensive financial data from a wide array
of online sources. This layer ensures comprehensive mar-
ket coverage by integrating data from news websites, social
media platforms, financial statements, market trends, and
more. The goal is to capture every nuance of the market,
thereby addressing the inherent temporal sensitivity of fi-
nancial data.
FinGPT-Open-SourceFinancialLargeLanguageModels