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COINcidence πŸš€

COINcidence is a real-time cryptocurrency sentiment analysis and prediction platform. It fetches live data from Reddit, Twitter and CoinGecko, analyzes sentiment trends using VADER (and optionally a trained ML model), and provides actionable insights for crypto enthusiasts.


Features

  • πŸ“ˆ Live Crypto Prices: Fetches current price and 24-hour price changes using CoinGecko API.
  • 🐦 Twitter Sentiment Analysis: Fetches recent crypto-related tweets and calculates sentiment scores.
  • πŸ‘¨β€πŸ’» Reddit Sentiment Analysis: Fetches hot posts from relevant subreddits and computes sentiment.
  • πŸ€– ML-Based Predictions: Optionally predicts crypto movement using a trained machine learning model.
  • πŸ“ Popular Posts Identification: Highlights the most popular tweet and Reddit post for a crypto.
  • βš–οΈ Market Summary: Provides a simple summary of market sentiment: positive, negative, or neutral.

Technologies Used

  • Backend: Python, Flask
  • APIs: CoinGecko, Reddit (public), Twitter (Tweepy v2)
  • Sentiment Analysis: VADER SentimentIntensityAnalyzer
  • Machine Learning (Optional): Pickle-trained model for crypto prediction
  • CORS: Flask-CORS for frontend integration

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