SubModule

5.1 Rug Check Module

The Rug Check Module is used to screen tokens when updating the Token Pool on the Data Server. On-chain data such as transaction volume and number of holders rely on the Onchain Module, while social metrics such as Twitter follower growth and average views are collected through the Social Graph Module.

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5.2 Social Graph Module

The Social Graph Module collects and analyzes information about the social accounts of a project or Key Opinion Leader (KoL). Its main features include

• Tracking growth and decline of social metrics (number of followers, number of post views, etc.)

• Calculate average metrics and detect changes

• Analyzing relationships between accounts and identifying network structure

This module plays a key role in collecting and evaluating token's off-chain reputation information on the Data Server.

5.3 Onchain Module

The Onchain Module is used to collect and analyze the following data

• Token-related: transaction volume, number of holders, holder health, liquidity, etc.

• Account related: transaction history, interaction history, investment appetite, etc. for a specific account.

This module provides on-chain data that is important for Rug Check or designing automated trading strategies.

5.4 Bot Module

The Bot Module functions to perform automated notifications and external communications based on the data collected.

• Telegram Bot: a bot that sends internal data summaries and notifications (currently in private operation)

• Twitter Bot: Bot for marketing and automated posting on $HOMO (currently suspended)

These modules serve to quickly communicate real-time detected events or new token information inside and outside the team, and are also utilized for community engagement and initial acquisition.