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Daily Data Tracking: What I Learned from 100 Days of IKA Analysis

January 10, 20258 min read

The beginning of the journey

When I decided to start tracking IKA M-drop data daily, I didn't imagine how much it would change the way I analyze protocols.

What I tracked

Every day, at the same times, I collected:

  • Transaction volume
  • Number of active wallets
  • Token distribution
  • Staking metrics
  • Validator activity

    • Patterns that emerged

    After 100 days, some patterns became clear:

    Weekly cycles

    Activity had consistent peaks on Tuesdays and Wednesdays, with valleys on weekends.

    Correlations

    I discovered correlations between whale activity and price movements 24-48h later.

    Seasonality

    Specific months showed accumulation vs distribution patterns.

    Lessons learned

  • **Consistency beats intensity** - Better 15 minutes every day than 4 hours once a week
  • **Automate what you can** - Scripts and dashboards save time
  • **Document everything** - Your notes from 3 months ago are gold
  • **Share publicly** - The community validates your insights

    • The value of obsession

    Being "obsessed" with data isn't an exaggeration - it's competitive advantage.

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