How We Find Alpha

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

1. 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.

1. 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.