The operation of Alpha Radar Bot can be described in three stages:
1. **Extensive data collection**
Firstly, we use web crawling to search new projects from various sources and collect project related information as much as possible, including both on-chain and off-chain data.
Example:
* Data source: Twitter, blockchain explorer
* On-chain data: ex. Volume, liquidity, contract security, number of holders
* Off-chain data: Socials, number of followers on X
2. **Projects screening and analysis**
Our dedicated AI model analyzes and evaluates projects using collected data from over 10,000 past tokens. Our experienced data scientists, AI and crypto experts supervise the model to ensure reliable results. We employ feature engineering to train the model with over 100 features to identify potential tokens.
Our core technique: the Multi-modal deep auto-encoder network.
3. **Information output through Telegram Bot**
Once a new project passes our criteria to be considered a potential alpha, it will be pushed to Alpha Radar Bot users in Telegram. We also provide some customized criteria for users to set (e.g., market cap, number of holders).
The potential alphas will be updated daily, with an estimated 5-10 potential alpha candidates each day, depending on market conditions.
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# Agent Instructions: 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:
```
GET https://alpha-radar-bot.gitbook.io/doc/how-we-find-alpha.md?ask=
```
The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
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.