• End-to-end framework: FinGPT embraces a full-stack

framework for FinLLMs with four layers:

– Data source layer: This layer assures comprehensive
market coverage, addressing the temporal sensitivity

of financial data through real-time information cap-
ture.

– Data engineering layer: Primed for real-time NLP
data processing, this layer tackles the inherent chal-
lenges of high temporal sensitivity and low signal-to-
noise ratio in financial data.

– LLMs layer: Focusing on a range of fine-tuning
methodologies,
this layer mitigates the highly dy-
namic nature of financial data, ensuring the model’s
relevance and accuracy.

– Application layer: Showcasing practical applications
and demos, this layer highlights the potential capabil-
ity of FinGPT in the financial sector.
FinGPT-Open-SourceFinancialLargeLanguageModels