HypeFlow Architecture

Understanding how our system leverages social sentiment for automated trading

System Architecture

HypeFlow AI combines social data analysis with blockchain operations to create a powerful automated trading system.

(1) Collect & Score
(2) Decision Logic
(3a) On-Chain Action
(3b) Social Feedback
Twitter API /
Social Data Stream
Sentiment
Analyzer
Decision Logic
On-Chain Action
Social Feedback
Move Agent Kit
(Aptos)
Twitter Post/
Telegram Bot, etc
Event Logs

How It Works

Data Collection & Analysis

Our system continuously monitors social media platforms for relevant signals about Aptos-based projects. The sentiment analyzer processes this data to identify trading opportunities based on social momentum.

Automated Decision Logic

Based on the sentiment analysis, our decision engine determines whether to execute trades and what positions to take, optimizing for both risk management and return potential.

Blockchain Integration

Trading actions are executed directly on the Aptos blockchain using the Move Agent Kit, ensuring efficient and secure transactions that leverage the full power of Move's resource-oriented programming model.

Feedback Loop

The system creates a virtuous cycle by posting notable trades and insights back to social platforms, which can generate additional market movement and create new trading opportunities.