- Researchers studying finance-focused LLMs
- Teams prototyping sentiment or financial text analysis
- Builders comparing domain-specific open-source model projects
Models
FinGPT
Open-source financial large language model project for finance sentiment, analysis, and domain adaptation.
20K Stars
MIT License
2.9K Forks
Open source
About
FinGPT overview
FinGPT is an open-source financial LLM project from AI4Finance Foundation. It focuses on finance-specific language modeling, sentiment analysis, and domain workflows where general LLMs often need adaptation.
Finance-specific scope
FinGPT focuses on financial text, sentiment, and domain workflows.
Domain models can be easier to evaluate than generic models when the task has specialized vocabulary and risk.Open research project
The project is maintained openly by AI4Finance Foundation.
Researchers can inspect the approach and adapt it for finance-focused experiments.Practical task orientation
FinGPT is relevant for sentiment, robo-advisor, and market text analysis experiments.
Finance teams need task-specific tests instead of broad benchmark claims. Use cases
When to use FinGPT
Financial sentiment analysis
Evaluate financial news, filings, and social text with domain-aware models.
Domain adaptation research
Study how financial corpora affect model behavior.
Finance agent backends
Prototype a finance assistant with an explicitly finance-oriented model layer.
Compare
How it compares
When to choose FinGPT
Compare it with nearby models by looking at hosting model, integration surface, license, and whether the official docs show the workflow you need.
FAQ
Questions
Is FinGPT open source?
Yes. The GitHub repository is listed under the MIT license.
Can FinGPT provide financial advice?
FinGPT is a research and development project. Any financial use should go through expert review, compliance checks, and domain-specific evaluation.
Tags
Capabilities
Decision brief
JSON
Should you use FinGPT?
- Teams looking for financial advice or trading guarantees
- Users who need a general-purpose agent framework
- Verified 2026-06-09
- License: MIT
- Repo: AI4Finance-Foundation/FinGPT
- Open-source signal
Deployment
cloud
Permission surface
Low explicit permission surface in metadata
Decision signals
No extra signals recorded
Agent packet
Structured decision data for FinGPT
This packet is the compact machine-readable view agents should use before following source links or taking action.
Capabilities
local inference
Constraints
open source
Deployment
cloud
Permission surface
Low explicit permission surface in metadata
Recommended workflows
Coding agent workflow
Overview
What FinGPT does
What it is
It focuses on financial language modeling, sentiment analysis, and finance-specific workflows.
Why it matters
Finance is a high-stakes domain where open methods, evaluation, and data choices matter.
How to evaluate it
Use FinGPT as a research baseline, then validate it on your own finance tasks with strict evaluation and compliance review.
Facts
Known metadata and operating surface
These fields are separated from editorial interpretation so agents can reason over facts and missing checks.
Resource type model
Category Models
Maturity active
Difficulty Unknown
License MIT
Pricing open source
Verified 2026-06-09
Source confidence high
Risk level low
Fit matrix
Where FinGPT fits in an agent stack
strong
Coding agent workflow
FinGPT has multiple signals for coding agent workflow, including matching tags, capabilities, category, or positioning.
- Run a small repository change and inspect the diff, tests, and rollback path.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
partial
Browser automation
FinGPT has at least one signal for browser automation, but should be checked against a real task before adoption.
- Run one non-sensitive website task and inspect clicks, waits, retries, and changed URLs.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
partial
Local or private AI stack
FinGPT has at least one signal for local or private ai stack, but should be checked against a real task before adoption.
- Verify hardware requirements, data path, storage, and whether all calls stay in your environment.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
partial
Reusable skill workflow
FinGPT has at least one signal for reusable skill workflow, but should be checked against a real task before adoption.
- Run one skill end to end and check whether it produces evidence or structured output.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
weak
Connector or protocol layer
FinGPT is not primarily positioned for connector or protocol layer in the current metadata.
- Connect one low-risk service, then inspect schemas, auth scope, errors, and logs.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
weak
Evaluation and observability
FinGPT is not primarily positioned for evaluation and observability in the current metadata.
- Add one repeatable test case and confirm results can run again in review or CI.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
Inputs and outputs
What an agent should inspect
Likely inputs
- Repositories, files, issues, terminal output, and test results
- Prompts, messages, documents, images, or model inputs
- Official setup instructions and a small real workflow
Likely outputs
- Diffs, commits, explanations, test results, or review notes
- A decision on whether this resource fits the target workflow
Evidence
Sources, claims, and missing checks
Claims are marked separately from source links so future crawlers and reviewers can update them without rewriting the page.
GitHub github
Repository source for code, license, issues, releases, and implementation details.
Homepage homepageOfficial or project-controlled source for this resource profile.
FinGPT is listed as open source.
License metadata: MITFinGPT has a recorded GitHub repository: AI4Finance-Foundation/FinGPT.
Resource facts and GitHub source link.FinGPT supports these recorded deployment modes: cloud.
OpenAgent decision signal metadata.FinGPT is tagged with local inference capabilities.
OpenAgent capability taxonomy.- Dedicated docs link is missing.
- Repository freshness has not been recorded.
Next action
How to start evaluating FinGPT
Inspect repository
Check license, recent activity, issues, examples, and security-sensitive code paths.
Open sourceOpen Homepage
Start from the official source before adopting third-party instructions.
Open source Compare
Alternatives and nearby resources
Use related resources to compare category fit, license, deployment model, and first-workflow behavior.
FAQ
Common questions about FinGPT
Is FinGPT open source?
Yes. The GitHub repository is listed under the MIT license.
Can FinGPT provide financial advice?
FinGPT is a research and development project. Any financial use should go through expert review, compliance checks, and domain-specific evaluation.