Node.js Crypto Tracker

A web application that tracks real-time cryptocurrency prices, analyzes sentiment from X (Twitter), and determines slope direction (positive/negative trend) based on historical data.

Demo

🚀 Live Demo

Features

• Real-time Prices: Fetches current prices for BTC, ETH, SOL, DOGE, and ADA from CoinGecko API
• Sentiment Analysis: Analyzes recent tweets about cryptocurrencies using Twitter API and sentiment analysis
• Slope Analysis: Uses linear regression on historical price data to determine if the trend is positive or negative
• Web Interface: Clean, responsive dashboard displaying all data

Prerequisites

• Node.js (v14 or higher)
• Twitter Developer Account with API v2 access (for sentiment analysis)

Installation

1. Clone or download the project
2. Run npm install to install dependencies
3. Create a Twitter app at https://developer.twitter.com and get your Bearer Token
4. Update .env file with your Twitter Bearer Token:

   TWITTER_BEARER_TOKEN=your_actual_bearer_token_here
   

Usage

1. Start the server: npm start
2. Open your browser and go to http://localhost:3000
3. The dashboard will load with current prices and slope analysis
4. Click "Refresh Data" to update all information

Deployment

Local Development

1. Copy .env.example to .env
2. Add your actual Twitter Bearer Token to .env
3. Run npm start

Vercel Deployment

1. Connect your GitHub repo to Vercel
2. In Vercel dashboard → Project Settings → Environment Variables, add:
   • COINGECKO_API_URL: https://api.coingecko.com/api/v3
   • TWITTER_BEARER_TOKEN: Your actual Twitter Bearer Token
   • PORT: 3000 (optional)
3. Deploy

Important: Never commit your .env file - it's in .gitignore for security.

API Endpoints

• GET /api/prices - Get current cryptocurrency prices
• GET /api/sentiment - Get sentiment analysis from Twitter
• GET /api/predict - Get slope direction analysis

Technologies Used

• Backend: Node.js, Express.js
• APIs: CoinGecko, Twitter API v2
• Database: LowDB (JSON-based)
• Frontend: Vanilla JavaScript, HTML5, CSS3, Chart.js
• Libraries: Axios, Sentiment, Regression

Notes

• Price data is cached locally at 4-hour intervals for slope analysis
• Twitter API has rate limits; sentiment analysis may be limited
• Slope analysis improves with more historical data (run the app regularly to build history)
• Without a valid Twitter Bearer Token, sentiment analysis will show errors but prices and slope analysis will still work