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KILLED · adverse selection
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Quoting symmetric bid/ask around a reservation price with inventory-aware skew, per Avellaneda–Stoikov, earns the spread on liquid alts while controlling inventory risk.

Inventory-adjusted reservation price ($q$ = inventory, $\gamma$ = risk aversion):

$$ r(s,t) = s - q\,\gamma\,\sigma^2 (T-t) $$

Optimal half-spread combines risk and book-arrival intensity $\kappa$:

$$ \delta^{a}+\delta^{b} = \gamma\sigma^2(T-t) + \frac{2}{\gamma}\ln\!\Big(1+\frac{\gamma}{\kappa}\Big) $$

Paper market-maker on 3 liquid alts, inventory cap, $\gamma$ and $\kappa$ calibrated from the arrival curve. Maker rebate modeled, latency penalty applied on requotes.

Gross spread capturedpositive
Fill asymmetry (toxic fills)severe
PnL after adverse selection
Inventory blow-outs on trendsfrequent
KILLED
The model is correct; the infrastructure is not ours. Market making is a latency game — the spread is compensation for adverse selection, and you only win it if you are the fastest to cancel. We are not. Hard rule: no passive MM on public-API latency.
Earning the spread is not free money — it is payment for being run over by informed flow. If you cannot cancel faster than the informed trader can hit you, the spread is a loss.

We publish the failures too.

This is one of 100+ documented hypotheses. Browse the full lab notebook, or see the strategies that survived into production.