> For the complete documentation index, see [llms.txt](https://alphascan.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://alphascan.gitbook.io/docs/about-alphascan-ai/solution/how-it-works.md).

# How It Works

AlphaScan AI is a tool that looks at social sentiment data and allows you to automate your trading based on the signals you see.

We make understanding social sentiment as easy as possible. We don't just give you a sentiment score, we show who mentions what at what time and correlation between mentions and prices (please note - correlation is not causation). With AlphaScan AI, you can see which tokens are being mentioned by which Twitter accounts. That enables you to immediately see which token is becoming interesting on social media or which account is best at identifying tokens early.

Finally, we are taking all of this data and dumping it into our AI to add an additional layer of confirmation to any decision. This has resulted in several AI models that are able to identify relevant sentiment shifts.

All of this data serves one purpose - to identify the right trades faster than others and immediately trade when that signal arrives. AlphaScan AI is solving this through a Telegram-native bot that takes your signal and your trading rules as input and executes the trade when signal arrives.

See [here](/docs/product-guide/intro-and-general-information.md) for a detailed walkthrough of AlphaScan AI.<br>


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