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crypto-data

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Here, I have taken a dataset about various cryptocurrencies and various factors that define them over a period of time. I have calculated important insights such as: 1. Seasonal highs and lows 2. Percentage terms high and low based on various time periods 3. Finding relation between their circulating supply and max supply. 4. Price volatility, etc.

  • Updated Jan 19, 2025
  • Jupyter Notebook

Blockchain Explorer Installer provides an easy way to explore, search, and analyze transactions on various blockchains, empowering users with real-time network data. 🔍🔗

  • Updated Feb 8, 2025

End-to-end BTC price prediction using ML (XGBoost, RF, Lasso), CoinGecko API, Power BI, and Windows automation. Includes daily updates, weekly retraining, and dashboards.

  • Updated Jun 12, 2025
  • Jupyter Notebook

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