TradeyAI

This project aims to build an AI agent that analyzes the cryptocurrency market by scraping tweets from key opinion leaders (KOLs) on Twitter. The goal is to leverage real-time social sentiment to assess market trends and enable automated trading decisions. Planned features include web scraping, natural language processing for sentiment analysis, and integration with algorithmic trading systems.

🚀 Quick Start

Install dependencies packages and copy .env.example to .env and fill in the appropriate values.

npm i
cp .env.example .env

Update kols.json with the list of KOLs you want to track.

vi kols.json

Run index.js to fetch the latest tweets from KOLs within the past hour, analyze the current market trend, and send a signal to the webhook.

node index.js

Folder Structure

.
├── openai             # openai api
├── signal             # send signal to webhook
├── twitter-agent      # agent for scraping tweets
├── .env.example       # example of environment file
├── index.js           # main entry point
├── kols.json          # list of KOLs
├── README.md
└── ...

Disclaimer

The information, analysis, and suggestions provided by TradeyAI are for informational purposes only and do not constitute financial or investment advice. Cryptocurrency markets are highly volatile. Please evaluate risks independently and consult with a professional advisor before making any investment decisions. By using this bot, you agree to bear full responsibility for any trading outcomes.

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