The Satoshi Overhang: Why the Bear Case is Bounded

Battle Count: 55

The paper is relevant to quantitative trading primarily through risk sizing and scenario analysis rather than direct alpha generation. Key contributions for quants: (1) the mechanical absorption bound (10-13% central, up to 27% aggressive) provides a structured upper bound for tail-risk hedging decisions; (2) the distinction between material drawdown and existential collapse is decisive for unleveraged vs. leveraged position sizing; (3) the consistency ledger shows burn-upside and sale-downside are complementary shares of one bounded interval, preventing double-counting in risk models; (4) the July 2025 sale event provides a real-world anchor for OTC execution impact. However, the paper does not propose trading strategies, does not use ML models, and explicitly states it makes no point forecasts of price reactions. It is more relevant to risk management and portfolio construction than to signal generation.

The paper is conceptual and does not require software implementation. The arithmetic (partial-equilibrium impact, square-root law, consistency ledger) is straightforward algebra. The Track 2 analysis is qualitative reasoning. No code, optimization, or model training is involved. The main complexity is in the interpretive framework and the judgment-based ordering of outcomes, which cannot be mechanically implemented.

The paper is explicitly conceptual and not calibrated. The elasticity range (0.3 to 1.5) is described as a heuristic sensitivity range, not a confidence interval. The three scenarios (conservative, base, aggressive) are illustrative bounds under stated inputs, not point forecasts. The square-root law cross-check uses published parameters from Donier and Bonart (2015). The consistency ledger identity holds exactly given stated assumptions. However, the Track 2 outcome ordering is labeled as judgment, not measurement. No code or dataset is provided. The paper states it does not try to identify Satoshi, measure implied probabilities, or recommend trades.