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nashnova

nashnova supports investment research with AI avatars, a research Agent workspace, market topics, and editorial articles.

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Authority
50 reach 0 · trust 10 · quality 25 · freshness 15
Tier
listed
llms.txt
https://www.nashnova.com/llms.txt
llms-full.txt
https://www.nashnova.com/llms-full.txt
Sections
3
Links
33
Size
3964 bytes
Registered
2013-08-10
Country
United States Hosting inference
Hosting country
United States Hosting inference
Country evidence
No published address evidence collected yet
For agents
Documentation: developer or product docs worth reading, nothing to call
First seen
2026-10-26T12:11:54.734Z
Last checked
2026-10-26T12:11:57.234Z
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Agent Web Map badge for nashnova.com

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-26T12:11:54.741Z. Cached copy · Source on nashnova.com

# nashnova

> nashnova supports investment research with AI avatars, a research Agent workspace, market topics, and editorial articles.

This guide links to public website content. It is not a robots.txt policy, a model-training permission, investment advice, or a guarantee of search indexing. Respect robots.txt and each page's access restrictions. Chat and account-specific features require authentication.

## Products and editorial

- [Product homepage](https://www.nashnova.com/ai-investment-research-agents): the product overview
- [Agent workspace](https://www.nashnova.com/investment-agent-architecture): capabilities, Agent Loop, Workspace, and fin CLI
- [Research avatars](https://www.nashnova.com/investment-avatars): human-inspired investment research frameworks
- [Avatar plaza](https://www.nashnova.com/avatars): public avatar profiles; chat requires an account
- [Blog](https://www.nashnova.com/blog): product updates and practical guides
- [Research articles](https://www.nashnova.com/blog?type=research): the Research category within Blog, including retained market and industry reports
- [产品首页](https://www.nashnova.com/zh/ai-investment-research-agents): 简体中文产品介绍
- [智能体工作台](https://www.nashnova.com/zh/investment-agent-architecture): 能力总览、Agent Loop、Workspace 和 fin CLI
- [研究分身](https://www.nashnova.com/zh/investment-avatars): 投资研究框架
- [博客](https://www.nashnova.com/zh/blog): 产品更新与实用指南
- [研究文章](https://www.nashnova.com/zh/blog?type=research): 博客内的研究分类

## Authoritative public information

- [Company information](https://www.nashnova.com/company): confirmed operator, official channels, and service boundaries
- [Research methodology](https://www.nashnova.com/methodology): how research questions become a reviewable process
- [Data sources and coverage](https://www.nashnova.com/data-sources): coverage, timing, and known limitations
- [Investment research disclaimer](https://www.nashnova.com/investment-disclaimer): research support versus investment advice
- [FAQ](https://www.nashnova.com/faq): verified product and support answers
- [Pricing and Credits](https://www.nashnova.com/pricing): current public catalog or a clearly dated fallback
- [Privacy policy](https://www.nashnova.com/privacy-policy): the published privacy document
- [Terms of service](https://www.nashnova.com/terms-of-service): the published service terms
- [Contact nashnova](https://www.nashnova.com/contact): official support channels
- [公司信息](https://www.nashnova.com/zh/company): 运营方、官方渠道与服务边界
- [研究方法](https://www.nashnova.com/zh/methodology): 可复核的研究流程
- [数据来源](https://www.nashnova.com/zh/data-sources): 数据覆盖与局限
- [投资研究声明](https://www.nashnova.com/zh/investment-disclaimer): 研究支持与投资建议的边界
- [常见问题](https://www.nashnova.com/zh/faq): 产品与支持说明
- [价格与 Credits](https://www.nashnova.com/zh/pricing): 公开目录或注明日期的备选快照

## Optional

- [Market topics](https://www.nashnova.com/topics): current topics and crawlable archive pagination; public topic articles are server-rendered
- [市场主题](https://www.nashnova
…

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