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tokenomics-research

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A research-grade framework for forecasting tokenomic gene evolution across market cycles. Analyzes historical gene frequencies, models behavioral drift, and predicts future gene expression using interpretable trend and moving-average forecasting. Designed for tokenomics research, risk analysis, and evolutionary cryptoeconomics.

  • Updated Nov 30, 2025
  • Python

🔍 Analyze and forecast tokenomic gene frequencies across market cycles with this research-focused tool for effective market dynamics understanding.

  • Updated Dec 23, 2025
  • Python

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