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.
- π Live Crypto Prices: Fetches current price and 24-hour price changes using CoinGecko API.
- π¦ Twitter Sentiment Analysis: Fetches recent crypto-related tweets and calculates sentiment scores.
- π¨βπ» Reddit Sentiment Analysis: Fetches hot posts from relevant subreddits and computes sentiment.
- π€ ML-Based Predictions: Optionally predicts crypto movement using a trained machine learning model.
- π Popular Posts Identification: Highlights the most popular tweet and Reddit post for a crypto.
- βοΈ Market Summary: Provides a simple summary of market sentiment: positive, negative, or neutral.
- 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