For instructors
Free lessons, a classroom dataset and assignments for teaching on-chain analysis.
What this is
A free, 10-lesson introduction to reading Ethereum whale data. Each lesson takes 6–10 minutes, ends with an exercise on a live public page, and has a short check with explanations. No account is needed for students.
It suits blockchain, fintech, data-analysis and journalism courses, and self-study. It teaches careful reading of public on-chain data: what labels mean, where they fail, and how to write a finding you can defend. It is not a trading course and gives no investment advice.
Lesson map
Classroom dataset
The free sample CSV holds real moves by tracked whale wallets over the last 7 days for the 10 coins with the most tracked-whale volume (up to 5,000 rows), refreshed weekly. Columns and labeling rules are documented on the methodology page. It is licensed CC BY 4.0: students may use, share and adapt it, with the attribution “Deep Blue Alpha (deepbluealpha.io)”.
Because the file refreshes weekly, ask students to save the copy they analyze and note the “Generated” date from its first line, so their results can be checked.
Suggested assignments
1. Verify a move (after lessons 1–3). Pick three moves from the live feed, confirm each on Etherscan, and label each as an exchange withdrawal, exchange deposit or DEX swap with a one-line reason.
2. Token brief (after lessons 4–5). For one token, write a 150-word brief on 30 days of tracked whale flow: breadth, the DEX share, concentration and one doubt. The words “bought” and “sold” are allowed only for DEX swaps.
3. Data project (after lessons 8–10). Using the sample CSV, compute net exchange flow per token, find the share driven by the largest wallet, and present one chart and one defensible finding.
Questions or a class using this?
Write to team@deepbluealpha.io. We’re glad to hear how it is used, and to fix anything unclear.
Deep Blue Alpha publishes on-chain data and explains how it is built. Nothing here is investment advice.
