REVOX Introduction
  • ⛳Introduction
    • The Mission of REVOX
    • The Problem with Current AI and dApp Integration
    • The REVOX Solutions Overview
  • 🧩Building Blocks of REVOX
    • Primitive Agents
    • Plugins
    • Context Knowledge
    • REVOX Web Extension
    • Compound Agents and Workflows
    • Onchain AI Oracle: DPrompt
  • 📚Use Cases and Examples
    • Social Data Analysis of Real-time Cryptocurrency Price Fluctuations
    • An Intent-based Crypto Trading Bot from Users' Natural Language Prompt
  • 🎯Products
    • Made by REVOX
    • AI Recommendation
  • Tokenomics
    • Tokenomics
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  1. Use Cases and Examples

Social Data Analysis of Real-time Cryptocurrency Price Fluctuations

PreviousOnchain AI Oracle: DPromptNextAn Intent-based Crypto Trading Bot from Users' Natural Language Prompt

Last updated 1 year ago

Building an automated trading bot based on social data analysis involves combining financial market data with information extracted from social media platforms to make trading decisions.REVOX is able to support building this bot with a few clicks.

Primitive Agent

  • Ticker Price Agent for market price data

  • Wallet Agent for connecting users' wallets with authorization to perform trading on behalf of users with predefined rules

  • Twitter Agent/Facebook Agent and other social media agents related to information retrieval

  • Sentimental Analysis Agent to perform analysis on social data

  • Summarization LLM to perform final aggregation and analysis

Compound Workflow

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