FDV crypto analysis — reading dilution risk

A simple FDV checklist

Compare the FDV to circulating market-cap ratio, then map the next ninety days of unlocks. Note insider versus community float and whether emissions add continuous sell pressure beyond cliffs. Fully diluted valuation crypto analysis starts with timing, not a single multiple.

Check venue liquidity before assuming exits. A neat FDV story dies in a thin book when locked supply becomes liquid. Slippage is part of dilution risk in practice, even if slides ignore it. Thesis baskets make attribution honest when narratives fail together.

Ask whether the token must exist for the product. High FDV on an optional governance coupon is a different research problem than high FDV on a network security asset with clear demand drivers. Comparison tables clarify jobs-to-be-done; they do not crown a single winner.

Why low float plus high FDV is a pattern

Early launches often discover price on a small tradable float. That can produce impressive market-cap headlines while FDV implies a much larger eventual capitalization. The gap is a promise the market may or may not fund. Due diligence is structured skepticism written before attachment sets in.

When unlocks arrive without matching demand, price does the reconciliation. That is not automatically “bad” — it is a risk you must size and monitor. Write who receives tokens and why they might sell. Tokenomics analysis fails when utility slogans replace capture mechanisms.

Use Alphora’s FDV overhang report as a screen, then deepen on /crypto pages and with Ask for monitors. Research Score can flag tokenomics stress; you still verify the calendar yourself. Risk notes age poorly unless catalysts force a scheduled revisit.

FDV versus market cap without the slogans

Market cap reflects today’s float; FDV extrapolates today’s price across full supply. Neither is intrinsic value. Together they sketch overhang. Separately they become Twitter weapons. Fundamental views need peer context or they drift into unique storytelling. Keep Alphora as structure and triage, never as a substitute for judgment.

Some assets have unclear or uncapped supply. In those cases, model emissions rather than worshiping a max-supply FDV. Crypto dilution analysis should match the actual issuance rules, not a marketing ceiling. Screeners that never force Pass decisions become casino lobbies.

Turning FDV work into desk monitors

After the checklist, define what would make overhang acceptable: usage growth, fee capture, or transparent unlock absorption. Put those into Ask monitors and track the thesis in a basket if you take risk. On-chain analysis without farming skepticism is screenshot superstition.

Alphora remains research-only. FDV tools and glossaries sharpen questions; they do not tell you to buy or sell. Revisit the note as unlock weeks approach so analysis stays attached to the calendar. Investment workflows end at monitored theses, not at saved threads.