Other

项目介绍

adam-eques/finsight-crew 是一个托管在 GitHub 上的开源项目,主要使用 Python 编写,采用 Other 许可证,目前获得 4 个 Star、2 次 Fork。

仓库全名
adam-eques/finsight-crew
开源许可证
Other
Star 数
4
Fork 数
2

README 摘要

finsight-crew A provider-agnostic, multi-agent financial research crew built on CrewAI. Point it at a ticker and a research question; a team of specialised agents researches the company, pulls market data, reads filings, assesses risk, and writes a cited investment brief. Why Serious financial research is a pipeline of distinct skills: gathering sources, crunching numbers, reading disclosures, weighing risk, and…

完整内容见 GitHub 原始 README 或本页 。

常见问题

finsight-crew 用什么语言开发?

主要使用 Python 编写,采用 Other 许可证,目前有 4 个 Star。

finsight-crew 可以免费商用吗?

仓库标注的许可证为 Other,商用前请先阅读仓库 LICENSE 文件确认授权范围。

如何获取 finsight-crew 的源码?

可以直接克隆仓库:git clone https://github.com/adam-eques/finsight-crew.git,默认分支为 main;安装与运行步骤见仓库 README。

finsight-crew 最近还在维护吗?

仓库最近一次更新为 7月25日,当前没有未关闭的 Issue;Star 数为 4,可作为社区活跃度的参考。

关于

GitHub 原始描述(英文)

Multi-agent AI crew that researches a stock and writes a cited investment brief.

描述取自 GitHub 官方 API,保持仓库作者书写的原文。

README

finsight-crew

ci python license

A provider-agnostic, multi-agent financial research crew built on CrewAI.

Point it at a ticker and a research question; a team of specialised agents researches the company, pulls market data, reads filings, assesses risk, and writes a cited investment brief.

Why

Serious financial research is a pipeline of distinct skills: gathering sources, crunching numbers, reading disclosures, weighing risk, and communicating clearly. finsight-crew models each as a focused agent and lets CrewAI orchestrate the hand-offs.

Quickstart

pip install -e .
cp .env.example .env   # add your API key
finsight research AAPL --question "Is the balance sheet healthy?"

Status

Early development. See CHANGELOG.md for progress.

Configuration

See docs/configuration.md.

Usage

See docs/usage.md and docs/agents.md.

Features

  • Provider-agnostic LLM (Claude default, OpenAI/Ollama swappable)
  • Tools: web search, market data, SEC filings, RAG, calculator, sentiment
  • Markdown / JSON / HTML briefs, multi-ticker comparison
  • Report evaluation and run observability

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