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Liquidity

Days-to-Exit — can you actually sell?

Exit risk for tokenized real estate, ranked from real on-chain order books · How every number is computed →

Days-to-Exit answers the one question a price never can: if you wanted out, could you actually sell? It divides the near-market sell overhang (tokens already listed at or near the clearing price) by the real absorption rate (tokens actually being bought per day) — the days of genuine buying needed to clear the queue ahead of you before your own tokens can sell. Across 693 tokens:

693
Tokens scored
124
Liquid · 18%
475
Thin · 69%
56
Illiquid · 8%
38
Frozen · 5%
Liquid 124 · 18%Thin 475 · 69%Illiquid 56 · 8%Frozen 38 · 5%

Tiers: liquid ≤ 30 days · thin 30–120 days (or real trading with no standing queue) · illiquid 120–365 days · frozen > 365 days or no buyer at all. This is a relative ranking of exit difficulty within a structurally illiquid asset class — not a claim of equity-grade liquidity.

Most frozen — you're stuck

The 15 tokens where the sell queue would take the longest real buying to clear. A large overhang with almost no absorption means an exit could take years, if it clears at all.

PropertyPlatformDays-to-exitSell overhangTier
Binaryx Bali Asset 4Binaryx21,255 d$70,850Frozen
8003 S Ingleside AveRealT15,652 d$6,152Frozen
Binaryx Bali Asset 1Binaryx14,198 d$31,802Frozen
Binaryx Bali Asset 3Binaryx4,381 d$68,150Frozen
1612 Denver AveRealT2,250 d$750Frozen
10612 Somerset AveRealT2,160 d$9Frozen
Binaryx Bali Asset 5Binaryx1,953 d$35,800Frozen
14857 Stout StRealT1,691 d$139Frozen
14294 Cherrylawn StRealT1,519 d$334Frozen
19317 Gable StRealT1,414 d$660Frozen
18776 Sunderland RdRealT1,410 d$8Frozen
19333 Moenart StRealT1,260 d$276Frozen
10905 Eliot AveRealT1,255 d$159Frozen
10621 Vernon AveRealT1,246 d$259Frozen
14892 Wildemere StRealT1,071 d$454Frozen

Most liquid — you could actually exit

The 15 tokens with the shortest Days-to-Exit and a real near-market queue (≥ $50 of standing near-market sell orders). These clear fastest — but read "fastest" as days, not seconds.

PropertyPlatformDays-to-exitSell overhangFills in window
212 N Park AveRealT4.0 d$6944
13835 La Salle BlvdRealT7.2 d$7640
19200 Strasburg StRealT7.8 d$8229
2911 Sturtevant StRealT9.6 d$5410
10110 Cadieux RdRealT10.8 d$12362
16200 Fullerton AveRealT11.8 d$7620
11222 E 7 Mile RdRealT12.8 d$12637
618 E 79th StRealT13.4 d$6011
18286 Oakfield AveRealT15.0 d$503
15040 Harper AveRealT16.5 d$8431
14631-14633 Plymouth RdRealT18.4 d$1458
12700 Christine AveRealT20.4 d$635
8213 Faith LnRealT21.0 d$20910
3469 Martin Luther King Jr DrRealT21.5 d$5416
6208 Carpenter AveRealT24.1 d$7532

By platform

Median Days-to-Exit and the share of frozen tokens, per issuer whose order books settle where we can read them on-chain.

PlatformMedian days-to-exit% frozenTokens
RealT0.0 d4.8%688
Binaryx4,381 d100.0%5

Methodology

Verbatim, as recorded in the daily build:

Days-to-Exit = near-market sell overhang / real absorption rate. Overhang = tokens listed for sale at or below the clearing price x 1.25 (near-market only, so aspirational/face-value asks that sit a median of ~200% above the clearing price are excluded). Absorption = tokens actually bought per day over a trailing 90-day window (widened to 180 days when fewer than 3 fills, so one stray trade cannot define the rate); we use mean throughput because these tokens trade on only a few days per quarter, making a daily median uninformative. Days-to-Exit is the days of real buying needed to clear the queue ahead of a new seller. Tiers: liquid <=30d, thin 30-120d (also tokens with no standing queue but real trading: not stuck, but thin), illiquid 120-365d, frozen >365d or zero absorption in 180d (no buyer). Score 0-100 is banded to the tier. HONESTY: this is a structurally illiquid asset class - median absorption is ~$1/day - so 'liquid' means liquid RELATIVE to tokenized real estate, a ranking of exit difficulty, not equity-grade liquidity. primaryPressureX (issuer direct-sale tokens / secondary absorption over the window) is a separate documented modifier applied only as a small, band-capped score penalty; it never changes Days-to-Exit or the tier. Limitations: overhang omits far-above-market listings; mean absorption can be lifted by a single large fill (see fillsInWindow); Days-to-Exit counts only the queue ahead, not the seller's own position size. Anchored to the data frontier for idempotency.

In plain English. We look at what is actually for sale near today's clearing price (the overhang), and how fast tokens are really being bought (absorption, averaged over a trailing window so one stray trade can't define the rate). Dividing one by the other gives the days of genuine buying needed to clear the line ahead of a new seller. A short number means a queue that clears; a huge number — or none at all — means you would be waiting.

Honest limitations. Tokenized real estate is a structurally illiquid asset class: median absorption is on the order of ~$1/day. So "liquid" here means liquid relative to other tokenized property, not liquid like a listed stock. The overhang deliberately ignores far-above-market "face value" asks that no one is hitting; a single large fill can flatter the absorption rate (see the fills-in-window column); and Days-to-Exit counts only the queue ahead of you, not the size of your own position. Read it as a ranking of exit difficulty, not a promise of an exit.

Full formulas and contract addresses on the methodology page.

Citation & sources

Free to use with attribution. Please cite:

EstateFi Days-to-Exit — EstateFi, estatefi.io — retrieved 2026-07-23

Source: EstateFi — estatefi.io. Recomputed daily from public-blockchain order books and trades. Last generated 2026-07-23.

See also: Price Index · Is the rent paid? · Unlock truth · Coverage & criteria · Methodology. Informational only — not investment advice.