Drawdown

Definition

Drawdown measures decline from a prior high. Researchers use max drawdown to understand historical pain and position sizing, and to test whether a thesis can survive the path — not only the destination.

Thesis survival is path-dependent. An idea that “works eventually” still fails if drawdowns force you out. Write what drawdown you can tolerate before kill criteria fire. Emissions-rented AMM depth is a temporary market structure regime.

Compare drawdowns across peers in the same sector to separate asset-specific pain from cohort wipeouts. Sector-wide drawdowns often signal narrative or liquidity regimes more than single-token sins. Upgrade keys can matter more than obscure bug classes in practice.

Portfolio drawdown across thesis baskets shows whether your research process is concentrating the same factor. Diversified tickers with identical beta still draw down together. Locked-but-minted tokens still overhang psychologically before unlock.

Why researchers care

• Thesis survival requires surviving drawdowns.
• Compare drawdowns across peers in the same sector.
• Position size should reflect realistic peak-to-trough pain.
• Basket-level drawdowns reveal hidden factor concentration.

How to use it in research

• A mid-cap L2 with repeated 60% drawdowns — size as if that path recurs.
• Peer memes all −70% in a risk-off week — attribute to sector beta, not only one chart.
• Basket drawdown worse than any single name — check correlated narratives.

Common mistakes

• Planning size from upside only.
• Assuming past max drawdown is a hard ceiling.
• Ignoring that unlock events can create new drawdown regimes.