--- title: "FinGPT" type: "tool" slug: "ai4finance-foundation-fingpt" canonical_url: "https://www.graphcanon.com/tools/ai4finance-foundation-fingpt" github_url: "https://github.com/AI4Finance-Foundation/FinGPT" homepage_url: "https://fingpt.io" stars: 20812 forks: 2958 primary_language: "Jupyter Notebook" license: "MIT" categories: ["llm-frameworks", "developer-tools", "data-retrieval"] tags: ["reinforcement-learning", "nlp", "machine-learning", "large-language-models", "fintech", "finance", "pytorch", "prompt-engineering"] updated_at: "2026-07-07T18:26:33.498232+00:00" --- # FinGPT > FinGPT: Open-Source Financial Large Language Models An open-source project focusing on developing and releasing financial large language models for tasks such as sentiment analysis, technical analysis, robo-advisory services, and more. FinGPT aims to revolutionize the fintech industry by democratizing access to internet-scale data and providing a benchmarking suite. ## Facts - Repository: https://github.com/AI4Finance-Foundation/FinGPT - Homepage: https://fingpt.io - Stars: 20,812 · Forks: 2,958 · Open issues: 98 · Watchers: 312 - Primary language: Jupyter Notebook - License: MIT - Last pushed: 2026-06-01T15:15:48+00:00 ## Categories - [LLM Frameworks](/categories/llm-frameworks.md) - [Developer Tools](/categories/developer-tools.md) - [Data & Retrieval](/categories/data-retrieval.md) ## Tags reinforcement-learning, nlp, machine-learning, large-language-models, fintech, finance, pytorch, prompt-engineering ## Related tools - [ECC](/tools/affaan-m-ecc.md) - The agent harness performance optimization system (★ 226,962) - [AutoGPT](/tools/significant-gravitas-autogpt.md) - AutoGPT: Build, Deploy, and Run AI Agents (★ 185,417) - [ollama](/tools/ollama-ollama.md) - Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. (★ 175,659) - [prompts.chat](/tools/f-prompts-chat.md) - The world's largest open-source prompt library for AI (★ 165,019) - [transformers](/tools/huggingface-transformers.md) - 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models (★ 162,347) - [JavaGuide](/tools/snailclimb-javaguide.md) - Snailclimb/JavaGuide: 面试 & 后端通用面试指南，覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发 (★ 156,863) - [langflow](/tools/langflow-ai-langflow.md) - Langflow is a powerful platform for building and deploying AI-powered agents and workflows. (★ 151,298) - [firecrawl](/tools/firecrawl-firecrawl.md) - The API to search, scrape, and interact with the web at scale. (★ 147,117) ## README (excerpt) ```text
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# FinGPT: Open-Source Financial Large Language Models
Let us not expect Wall Street to open-source LLMs or open APIs, due to FinTech institutes' internal regulations and policies. [Blueprint of FinGPT](https://ai4finance.org/research/fingpt-open-source-finllm.html) ## Project Contributors FinGPT is an open-source financial large language model project developed and maintained by the AI4Finance Foundation. Key contributors include: - [**Hongyang (Bruce) Yang**](https://www.linkedin.com/in/brucehy/) – research and development on financial large language models and related applications - [other contributors…] ## What's New: - [Model Release] Nov, 2023: We release [FinGPT-Forecaster](https://github.com/AI4Finance-Foundation/FinGPT/tree/master/fingpt/FinGPT_Forecaster)! 🔥[Demo](https://huggingface.co/spaces/FinGPT/FinGPT-Forecaster), [Medium Blog](https://medium.datadriveninvestor.com/introducing-fingpt-forecaster-the-future-of-robo-advisory-services-50add34e3d3c) & [Model](https://huggingface.co/FinGPT/fingpt-forecaster_dow30_llama2-7b_lora) are available on Huggingface🤗! - [Paper Acceptance] Oct, 2023: ["FinGPT: Instruction Tuning Benchmark for Open-Source Large Language Models in Financial Datasets"](https://arxiv.org/abs/2310.04793) is accepted🎉 by [Instruction Workshop](https://an-instructive-workshop.github.io/) @ NeurIPS 2023 - [Paper Acceptance] Oct, 2023: ["FinGPT: Democratizing Internet-scale Data for Financial Large Language Models"](https://arxiv.org/abs/2307.10485) is accepted🎉 by [Instruction Workshop](https://an-instructive-workshop.github.io/) @ NeurIPS 2023 - [Model Release] Oct, 2023: We release the [financial multi-task LLMs](https://huggingface.co/FinGPT) 🔥 produced when evaluating base-LLMs on [FinGPT-Benchmark](https://github.com/AI4Finance-Foundation/FinGPT/tree/master/fingpt/FinGPT_Benchmark) - [Paper Acceptance] Sep, 2023: ["Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Models"](https://arxiv.org/abs/2310.04027) is accepted🎉 by [ACM International Conference on AI in Finance (ICAIF-23)](https://ai-finance.org/icaif-23-accepted-papers/) - [Model Release] Aug, 2023: We release the [financial sentiment analysis model](https://huggingface.co/FinGPT/fingpt-sentiment_llama2-13b_lora) 🔥 - [Paper Acceptance] Jul, 2023: ["Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models"](https://arxiv.org/abs/2306.12659) is accepted🎉 by [FinLLM 2023](https://finllm.github.io/workshop/#/fcb)@IJCAI 2023 - [Paper Acceptance] Jul, 2023: ["FinGPT: Open-Source Financial Large Language Models"](https://arxiv.org/abs/2306.06031) is accepted🎉 by [FinLLM 2023](https://finllm.github.io/workshop/#/fcb)@IJCAI 2023 - [Medium Blog] Jun 2023: [FinGPT: Powering the Future of Finance with 20 Cutting-Edge Applications](https://medium.datadriveninvestor.com/fingpt-powering-the-future-of-finance-with-20-cutting-edge-applications-7c4d082ad3d8) ## Why FinGPT? 1). Finance is highly dynamic. [BloombergGPT](https://arxiv.org/abs/2303.17564) trained an LLM using a mixture of finance data and general-purpose data, which took about 53 days, at a cost of around **$3M**). It is costly to retrain an LLM model like BloombergGPT every month or every week, thus lightweight adaptation is highly favorable. FinGPT can be fine-tuned swiftly to incorporate new data (the cost falls significantly, less than **$300 per fine-tuning**). 2). Democratizing Internet-scale financial data is critical, say allowing timely updates of the model (monthly or weekly updates) using an automatic data curation pipeline. BloombergGPT has privileg ``` --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/tools/ai4finance-foundation-fingpt`](/api/graphcanon/tools/ai4finance-foundation-fingpt) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_