DeepBook DEEP

Payout off peakRank#64in Low payout▼2Score11

Paid to holders this week: 9% of the best week in 90 days ($2k against $17k), while revenue +99% over 7 days.

Dexs, Sui, 179 days of data

Low payout: less than $100k to holders in 30 days, or payouts on fewer than 8 of the 30 days (for a token that pays in cycles of a week or longer: more than one of the payouts its cycle predicts missed); ranked within this group

Market cap

$35.5M

price $0.014 · 7d −0.7% · 30d −32.6%

FDV $140.2M (4.0× market cap)

source defillama

Counted per year

$70k

holders revenue of the last 30 days, $8k, × 365 ÷ 30, × type factor 0.75 (burns count 75%)

Burnbuyback share 22%

Burns 0.3% of its market cap a year, using 22¢ of every $1 it earns.

Not a buyback: counts for 75% in the multiple (type factor 0.75), so the denominator is $70k instead of $94k.

Multiple

492×

peer median 23.9× (Dexs, 14 tokens), against 492× here

Run-rate

552×

last 7 days $2k × 52 × 0.75 (type factor) = $63k a year

last week's payout in line with the 30-day pace

What we checked

Valuation
Multiple 492× (type factor 0.75: burns count 75%), 20.6× more expensive than its Dexs peers (median 23.9×, 14 tokens). The group's largest earner Uniswap trades at 36.6×: 13.4× dearer per dollar returned to holders. On total revenue: 80.5×, 4.8× dearer than the revenue peer median.
Distribution
Burn: Tokens are burned from fees without a market buy; supply falls but there is no direct buy pressure. Holders got $8k of $35k revenue in 30 days → buyback share 22%. DefiLlama: “DEEP Tokens Burned: DEEP burned out of collected trading fees.”
Sustainability
Holders were paid on 30 of 30 days (100%); largest single day 11% of the month's holders revenue; paid to holders this week: 9% of the best week in 90 days (more than half below peak). Revenue +99% over 7 days and +104% over 30 days, price −33% over 30 days.

What this does not tell you

The figures come from DefiLlama's adapter for each child protocol. Only a few tokens have an on-chain check (see How the buyback really works); for the rest, whether the tokens were really bought, burned or parked in a treasury wallet is not checked here. Unlocks count where DefiLlama or our research has a vesting schedule; team discretion and liquidity depth only once researched.

Flags

Payout >50% below peakthis week's holders revenue is 9% of its best week in the last 90 days ($17k)
Insufficient history178 days of data; g30, divergence not computable yet and scored as neutral 50

How the buyback really works

Not researched yet. Everything above comes from DefiLlama and market data only.

Holders revenue / revenue (30d): $8k / $35k; last 30 closed days
To holders: Burns 0.3% of its market cap a year
FDV / dilution: $140.2M / 4.0×; FDV ÷ market cap
Price 7d / 30d: −0.7% / −32.6%
Revenue growth 7d / 30d: +99% / +104%; versus the period before
Divergence: —; revenue growth minus price growth, 30d
DEX liquidity: $1.1M; DexScreener, representative pools
24h volume: $5.0M; all markets, CoinGecko
Unlocks 30d: $1.8M; DefiLlama vesting schedule
Revenue multiple: 80.5×; market cap ÷ revenue per year
Fee multiple: 41.4×; market cap ÷ fees per year
Distance to peak: 9%; this week ÷ best week of 90 days
Data since: May 18; first day with holders revenue

Holders revenue and price

Holders revenue per day7-day averagePrice (right axis)

Multiple over time

today 492× (scored) · peer median 23.9×

Market cap at close ÷ (holders revenue of the previous 30 days × 365 ÷ 30), with holders revenue capped at revenue and × the type factor: the same effective multiple as the peer median. Values above 100× are drawn at the top. Bands as on the meter; dashed line = peer median today.

Signal history

No signals for this token yet.

Versus peers

Dexs · 14 tokens · median multiple 23.9× · Uniswap is valued 101.3× higher. Per dollar that counts for holders, DeepBook is 13.4× dearer.

Main-ranking peers only. Multiples count holders revenue capped at revenue, × the type factor (buyback 1 · buyback + burn 1 · burn 0.75 · mixed 0.75 · distribution 0.5 · unclear 0.5 · ve-distribution 0.25).

This token against its main-ranking peers: multiple, revenue multiple, buyback share, holders revenue, market cap and revenue growth
Token	Distribution	Multiple	Revenue multiple	Buyback share	To holders 30d	Market cap	Rev. growth 30d
Pharaoh Exchange	ve / bribes	0.3×	0.2×	100%	$1.3M	$2.4M	−53%
RamsesX	Mixed	0.7×	0.5×	90%	$347k	$2.2M	+8%
nest	Distribution	0.8×	0.4×	100%	$868k	$4.3M	+30%
up	ve / bribes	2.0×	1.0×	100%	$300k	$3.7M	−70%
Chainflip	Buyback + burn	5.6×	5.6×	100%	$536k	$36.3M	+56%
Aero	ve / bribes	8.0×	3.7×	96%	$7.4M	$352.3M	−8%
PancakeSwap	Buyback + burn	20.9×	13.6×	65%	$2.4M	$602.4M	−29%
Raydium	Buyback	27.0×	16.7×	62%	$1.3M	$421.9M	−65%
Curve Finance	ve / bribes	30.5×	11.1×	94%	$2.6M	$376.7M	+44%
Uniswapleader	Buyback + burn	36.6×	36.6×	100%	$8.2M	$3.59B	−19%
Aster	Buyback + burn	51.1×	∞	—	$2.7M	$1.71B	—
Orca	Buyback	52.2×	8.1×	15%	$120k	$77.1M	−37%
Meteora	Distribution	161×	4.7×	17%	$480k	$166.1M	−54%
DeepBookthis token	Burn	492×	80.5×	22%	$8k	$35.5M	+104%

Score build-up11 of 100

Total score = 35% valuation + 25% momentum + 20% divergence + 20% quality − penalties, clamped to 0–100. Every number here can be recomputed from the figures on this page.

11of 100#64▼2top 85% one or more parts are the neutral 50

Valuation 0.0Momentum 12.5Divergence 10.0Quality 13.3penalties −25= 10.8

Valuation35%

0Valuation 0.0: HR half 0.0 (multiple 491.99×; 100 at ≤3×, 0 at ≥100×, log scale), revenue half 0.0 (revenue peer value 0.21×; 0 at ≤0.33×, 50 at 1×, 100 at ≥3×, log scale).Average of two halves. HR half: linear in log(multiple), 100 at ≤ 3×, 0 at ≥ 100×, 0 without effective HR. Revenue half: linear in log(revenue peer value), 0 at ≤ 0.33×, 50 at 1×, 100 at ≥ 3×; neutral 50 when the peer group falls back to the universe.

Momentum25%capped

50Momentum 50.0 (neutral): g7 0.686, g30 unknown; missing history gives the neutral 50.m = 0.5·g7 + 0.3·ln(day jump, clamped ±1.5) + 0.2·g30; 0 at m ≤ −0.7, 50 at 0, 100 at ≥ 1.1. Neutral 50 when g7 or g30 is missing; a missing day jump counts as 0.

Divergence20%capped

50Divergence 50.0 (neutral): d unknown (missing history).d = max(0, g30 − p30) when g30 > 0; 0 at d ≤ 0, 100 at d ≥ 1.5, linear.

Quality20%

67Quality 66.7: mean of days HR>0 100% → 100.0 (0 at ≤30%, 100 at ≥90%), largest day 11% of HR30 → 100.0 (0 at ≥60%, 100 at ≤15%), distance to peak 0.09 → 0.0 (0 at ≤0.25, 100 at ≥0.9).Average of: share of days with HR > 0 (0 at ≤ 30%, 100 at ≥ 90%), 1 − largest day ÷ HR30 (0 at ≥ 60%, 100 at ≤ 15%) and distance to peak (0 at ≤ 0.25, 100 at ≥ 0.9).

Penalty −15 (unlocks_above_hr30): unlocks next 30d $1.77M above HR30 $8k.
Penalty −10 (dilution_above_4): dilution ratio 4.09 above 4.

HR7 is below 50% of its 90-day peak: momentum and divergence are capped at 50. This is not a penalty; the distance already counts in quality.

Penalties−25

−15Unlocks in the next 30 days above HR30unlocks next 30d $1.77M above HR30 $8k

−10Dilution ratio above 4dilution ratio 4.09 above 4

8 rules not applied, 3 wait for research data.

Where the numbers come from

Revenue source: 1 active child; DefiLlama adapter per child
Price and market cap: defillama / defillama; latest fetch
Scored on: November 12, 2026; as-of date of the last compute run
On-chain verified: not yet; not checked yet

Protocols behind this token1 at DefiLlama

Per protocol: DefiLlama's methodology text, the distribution type we read from it and the sentence that decided it. The token takes the type of the protocol that returns the most to holders.

DeepBook V3
Dexs · Sui
type burn · source label
“DEEP Tokens Burned: DEEP burned out of collected trading fees.”
DEEP burned out of collected trading fees, which permanently shrinks the token supply. Burns are settled in batches, so the amount burned on a given day does not match that day's fees.
DEEP Tokens Burned
DEEP burned out of collected trading fees.
adapter on GitHub ↗