Adverse selection occurs when the trades you attract are more likely than average to precede unfavorable price moves. Passive orders earn spread, but if fills cluster right before the market moves against you, the expected value deteriorates.
In crypto, uneven information and latency asymmetry can make this effect pronounced, especially on thin venues.
Signals include post-trade drift against filled quotes, high cancel-to-fill ratios around your orders, and fills concentrated during quote flicker. Fragmented venues and heterogeneous participants increase the chance that one venue becomes the place where informed flow interacts with your orders.
Depth imbalances and sudden spread changes also accompany selection risk.
Mitigations include dynamic re-pricing, venue filtering, and limiting exposure at levels with poor resiliency. Traders monitor short-horizon drift, compare venues, and adjust posting durations.
Routing logic can cap passive exposure during news or when spread normalization is slow, shifting to tactics that prioritize completion over spread capture.
Some drift is market-wide and not selection. Separating your impact from exogenous moves requires careful event windows and controls. Data gaps, clock errors, and stale quotes can make selection appear worse or better than it is.
Continual measurement and conservative assumptions help avoid overfitting defenses to noise.