How harbor prices

Four pricing models, replayed on the same withdrawal history.

Historical simulationEthereum · Lido withdrawals01 Jul 202408 Mar 2025
LP profit316.61WETHbest of 4 models
Trades below cost3.0%best of 4 models
Valuation error0.92bpbest of 4 models
Trades simulated5,98516,452 receipts valued
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LP profit

total, WETH
0100200300Jul 24Aug 24Sep 24Oct 24Nov 24Dec 24Jan 25Feb 25Mar 25WETHdate, UTC
harbor
316.61
fixed-delay
216.05
age-based
257.58
queue-aware
221.22
5% hurdle
342.77

Profit per trade

trades below cost · lower is better
0102030−4−20251025% of tradessurplus after funding, bp
harbor
3.0%
fixed-delay
14.5%
age-based
5.4%
queue-aware
3.9%

Valuation error

avg miss · lower is better
051015−100−10−10110100% of receiptsforecast error, bp
harbor / queue-aware
0.92 bp
fixed-delay
1.46 bp
age-based
1.37 bp

Who gains

LP gain vs queue-aware, WETH
050100−120−100−80−60−40−20020LP change, WETHseller change, WETHLP earns more ↑← sellers get lessfixed-delayage-basedqueue-awareharbor
harbor
+95.39
fixed-delay
−5.18
age-based
+36.36
queue-aware
0.00
How it was tested
harbor
Queue-aware valuation with FACE capacity pricing.
fixed-delay
One historical settlement-time estimate for every receipt.
age-based
Remaining settlement time estimated from receipt age.
queue-aware
Receipt age and queue conditions, without a capacity adjustment.
Capital
10,000 WETH
Funding
5% / yr
LP margin
2 bp
External fee
10 bp
Operations / receipt
0.0002 WETH
Seller gas / receipt
0.0002 WETH
Settlement lag
+6 h
Results · WETH
ModelLP profitAfter fundingSeller proceeds
harbor316.6089214.3689596,940.6266
fixed-delay216.0479113.7800597,041.0871
age-based257.5842155.3233596,999.5924
queue-aware221.2229118.9635597,035.9172

Simulated on history, not observed harbor trades or future returns. harbor capacity: 60% utilization target, kappa 25 bp, up to 64 receipts. The test period was already inspected.

Reconciled research data · Graph indexing pending

History
73,760 requests · 69,309 claims · block 22,000,000
Dataset
5ae28ad25cbf235f25e2439fb698c42d4bf3aafdacaef75cc4b11b238c626344
Benchmark
221cee8b0441f20bff514f0e8fde54f0fba0fbe2f1c9d45404d8b34892b38c57
Chart data ↗