Research Fast Track
12 chapters over one month. For people already in the industry who want to strengthen their research methods.
This path assumes you know what wallets, chains, and tokens are. It skips general literacy and fills three gaps: financial mechanisms, valuation methods, and on-chain data.
Afterward, you should independently deliver a research report with data, sources, and risk assessment.
- Who it is for
- Industry practitioners who want stronger research methods
- Pace
- Three to four chapters a week for about one month.
- Goal
- Skip the general introduction and build deliverable research skills in financial mechanisms, token valuation, on-chain data, and risk models.
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- Non-Technical Crypto OS · Stage 31Chapter 13 · Why stablecoins matter so muchWhy has the internet never had native dollars?
- 2Chapter 15 · What is liquidity?Why can a token with a billion-dollar market cap crash after just $100,000 of selling?
- 3Chapter 17 · Where does the yield actually come from?Who pays for this APY?
- 4Chapter 18 · Why perpetuals became a core crypto productWhat anchors a perpetual contract to the spot price if it never settles?
- Non-Technical Crypto OS · Stage 45Chapter 19 · How much is a token really worth?Is a coin priced at $0.001 cheaper than one priced at $100?
- 6Chapter 20 · What exactly is tokenomics?Besides the allocation pie chart, what else must tokenomics answer?
- 7Chapter 21 · Why crypto keeps moving in cyclesWhy does every cycle feel like the same story repeating?
- 8Chapter 23 · How on-chain data can observe the real worldHow can you see what is happening without relying on someone else's conclusion?
- 9Chapter 24 · Why crypto projects keep collapsing and getting attackedHow exactly was the money lost?
- Non-Technical Crypto OS · Stage 510Chapter 25 · How to understand a crypto project in 30 minutesWhen facing an unfamiliar project, what should you check first?
- 11Chapter 26 · How does a protocol make money?TVL is high, but is the protocol making money?
- Non-Technical Crypto OS · Stage 612Chapter 31 · How AI changes crypto researchWhy should we trust AI's conclusions?
Alongside the path
- Chapter 23 provides the central practical skill. Spend twice as much time on it.
- Build your own monitoring panel alongside your studies. See How to Keep Up with Crypto.
- Continue directly to N1 · Crypto Research & Investment afterward.