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A widespread tolerance for stale or non-exchange price sources increases microstructure risk in a way that’s easy to underestimate: expect effective spreads and realized slippage to widen 5–30% in low-liquidity names when retail flow is routed off-exchange or to wholesaler-provided ticks. That gap materializes within days of any data outage or feed dispute and persists until counterparties tighten quoting incentives; for market-making firms that can reprice fast, this is a transitory profit pool, while for execution venues and cash managers it is an immediate cost to performance. Regulatory and legal pressure is the most important second-order effect and works on a multi-quarter timeline — a single high-profile execution failure or mispriced margin event can trigger enforcement actions, higher compliance costs, and renegotiation of data-licensing economics. The winners in that consolidation are incumbent regulated exchanges and low-latency market-makers that can justify higher fees with audited, timestamped feeds; the losers are consumer-facing platforms that monetize ambiguous “indicative” prices or rely on opaque PFOF-like revenue lines. Operationally, funds should assume a non-zero probability (10–25% over 12 months) of a large re-pricing event that forces more on-exchange execution, increases clearing capital requirements, and raises data spend by 10–20% for line-item determinism. Tactical responses are simple: harden execution slippage budgets, push for fill-level TCA from brokers, and selectively pay for exchange-certified collapsed prints rather than relying on aggregated third-party ticks; these moves compress worst-case NAV drag and position funds to capture the spread dislocations when they occur.
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