The ability to understand cryptocurrency market structures, analyze the value of digital assets, and make systematic investment decisions.
Cryptocurrency Investing is a comprehensive ability to understand the technical foundations and economic characteristics of digital assets such as Bitcoin and Ethereum, evaluate risks, and formulate and execute portfolio strategies. It covers the full spectrum of digital asset investing, from basic trading to regulatory environments, on-chain data analysis, and DeFi protocol utilization.
You first encounter what Bitcoin is and why it was created, and how blockchain technology works. You explore the concept of wallets, the difference between public and private keys, and experience the basic buy/sell process through exchanges. This corresponds to the Low (0-4) level on the Crypto Literacy Scale.
What Comes Next
Completing most items here means you've crossed the Crypto Literacy Scale's Low tier (0-4) threshold. The next stage, Market Foundations, introduces altcoin comparison and market data reading, aligning with FINRA's Foundational curriculum.
A 3-tier education structure (Foundational → Intermediate → Advanced) that directly informs L1-L5 level boundary design. The stage-specific curriculum (terminology → market deep-dives → complex concepts) sets the checklist difficulty benchmarks.
Four learning outcomes — DLT explanation, investment characteristics comparison, investment type classification, and risk-return-diversification analysis — provide concrete behavioral and numerical evidence for L3-L5 checklist items.
Securities classification (Howey Test), disclosure requirements, custody regulations, and investor protection frameworks serve as the authoritative basis for L4-L6 regulatory comprehension competencies.
An IRT-based 3-tier (Low 0-4 / Medium 5-7 / High 8-10) cryptocurrency literacy scale. Difficulty parameters across 3 domains (Technology, Economics, Policy) provide empirical evidence for L1-L7 checklist difficulty placement.
Prospect theory explains how loss aversion and framing effects drive behavioral transitions in cryptocurrency portfolio management across levels