On-Chain Analysis Workbook: Interpreting Blockchain Data Step by Step

Practical exercises for reading blockchain explorers, interpreting on-chain metrics platforms, and building a structured market-state assessment from on-chain evidence.

⏱ 1h 47m 📚 8 lessons 🎧 Audio version

About this course

Understanding what on-chain metrics mean is only the first step. Being able to pull them from a blockchain explorer or analytics platform, interpret what you see, and synthesise the evidence into a coherent market-state assessment is a different, practical skill. This workbook course builds that skill through structured reading exercises, interpretation checklists, and worked examples. By the end of this course you will be able to navigate a blockchain explorer to look up wallet history and transaction details, access and interpret the key on-chain metrics available on free and freemium analytics platforms, populate a weekly on-chain market-state template with current metric readings and interpret the combined signal, identify data anomalies that suggest exchange-level manipulation or reporting irregularities, and build a regular on-chain research routine that is sustainable and time-efficient. What you will learn: - Blockchain explorer navigation: reading a transaction, tracing wallet history, and interpreting contract interactions - SOPR interpretation exercise: reading a SOPR chart across a historical period and identifying accumulation vs. distribution phases - MVRV interpretation exercise: locating historical MVRV peaks and troughs and relating them to price cycle context - Exchange flow analysis: distinguishing routine exchange activity from coordinated large-wallet movements - Stablecoin flow analysis: interpreting stablecoin inflows to exchanges as a demand signal - Weekly on-chain snapshot template: a structured checklist of metrics to review and a scoring system for overall market state - Divergence analysis: identifying situations where price and on-chain metrics diverge and what that historically signals - Data anomaly detection: recognising metric spikes caused by exchange internal transfers, OTC settlements, or chain migrations Each section presents a worked example using historical on-chain data, followed by a blank template or checklist for you to apply to current or recent data. Reflection prompts ask you to interpret each chart or data snapshot before reading the analysis. A final exercise guides you through building a complete weekly on-chain report. This course is designed for crypto investors and researchers who want hands-on experience with on-chain analytics tools. Suitable for learners who are new to on-chain analysis but have basic familiarity with cryptocurrency markets. This course is informational and educational and does not constitute financial or investment advice.

What you'll get

  • 📜 Certificate of completion
    Add it to your LinkedIn profile
  • 🎧 Audio version included
    Learn on the go — no screen needed
  • ♾️ Lifetime access
    Come back anytime, no expiry
  • 📱 Phone or computer
    Works anywhere, any device
  • 💸 30-day refund
    No questions asked
  • Short & focused
    1h 47m of practical content

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Frequently asked

What do I need to take this course? +

Just a phone or computer with internet. No installs, no special hardware.

How do I pay? +

By card via Stripe, or with cryptocurrency. We do not store card details — Stripe handles them securely.

Can I get a refund? +

Yes — full refund within 30 days, no questions asked.

How long will I have access? +

Forever. Once you purchase, the course is yours to revisit anytime.

Will I get a certificate? +

Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.

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