> For the complete documentation index, see [llms.txt](https://social.options.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://social.options.ai/social-media-disclosure.md).

# Social Media Disclosure

Opinions expressed or information provided do not necessarily reflect the views of Options AI, Inc. or any of its subsidiaries or affiliates.

All content provided, including content published under “The Orbit” brand, is for informational purposes only, does not constitute investment or tax advice, and is not a recommendation of any security or trading strategy. 

Options AI, Inc. is a financial technology company and not a broker dealer. Options AI, Inc. provides analytical tools and educational content designed solely to help self-directed investors make their own investment decisions. Options AI, Inc. makes no representations or warranties with respect to the usefulness of any tool or to the accuracy or completeness of any information provided.

Options AI may share or provide links to third-party content and/or “like/favorite” third-party content. Doing so is intended to provide additional perspective and education and should not should not be construed as an endorsement or recommendation of any services, products, guidance, or opinions outside of Options AI. Content or posts by third-parties that describe their opinions, views or experiences may not be representative or indicative of another’s personal experience.

Brokerage services are offered through Options AI Financial, LLC, a registered broker dealer and wholly owned subsidiary of Options AI, Inc.

Options involve risk, including the loss of principal invested, and are therefore not suitable for all investors . Before investing in options, please read the “Characteristics and Risks of Standardized Options” by visiting the OCC website [www.occ.com](https://www.occ.com)


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# Agent Instructions
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## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
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Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.