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The dedicated S&box cosmetics market tracker. Live prices, drops and supply for every sbox skin on the Steam Community Market.

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Not affiliated with Facepunch Studios or Valve Corporation. S&box is a trademark of Facepunch Studios. Market data may be delayed.

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Back to Mullet Hair

Mullet Hairfull analytics

Every indicator the Insight Engine computes for this item: 267 values across 8 families, each ranked against the whole S&box market and its type cohort. Informational only, not financial advice. Data completeness: 73%.

Overall rating

?Fresh drop
Insight Engine v2
40/ 100
C†
Momentum21
Scarcity59
Liquidity14
Value92
Risk14

Recomputed each sync: last updated Sep 27, 4:02 AM.

Signal narrative

Bullish
6-hour surge !!

Up 15.9% in the last 6 hours and accelerating.

Holders are holding !!

Only 2.4% of supply listed: low sell pressure.

Concentrated ownership

~15.7 units per owner; a few holders control much of the supply.

Item drop !!

A random in-game drop (535 dropped). It was never sold in the store, so supply is capped by the drop rate.

High volatility

Daily price swings are large; expect a bumpy ride in either direction.

Deep drawdown

Down 97% from its 90-day peak: a possible recovery play if demand returns.

Outperforming the market !!

Up 62pts more than the median skin this week: real relative strength.

Below modelled fair value !!

Trading 75% under our supply/rarity model's estimate; looks cheap versus comparable skins.

Fresh drop

Supply is still growing from in-game drops; scarcity is unknowable yet.

Phantom price !!

The listed price sits 64% above the best standing bid of $0.14; you could not actually sell there right now.

Market-wide fear

The broader S&box market is in fear territory right now: sellers have the upper hand across the board.

Signals are informational only: not financial advice.

Signal Analysis

Insight Engine

The 88% bid/ask spread is the number that frames everything else here: the $0.35 ask sits 64% above the best standing bid of $0.14, with the median sale at $0.23, so the quoted price is largely aspirational rather than transacted. The +66.7% 24h move and +15.9% 6h surge put this in the 95th percentile for market-relative 7d return, but in this single-regime market sharp spikes have tended to fade, and the 7d change is still -12.7%. Against that, the value case is real: 75.2% below modelled fair value, value scoring 92/100. Liquidity at 14/100, 12 live listings and 34 owners across 533 units mean exits may be slow, which argues for patience over chasing the print.

AI-generated from live market data Β· updated 13h ago Β· Not financial advice β€” automated analysis for informational purposes only.

Price action

98/113 populated
IndicatorValuevs marketvs cohort
Return (24h)+2.9%β€”β€”
Return (3d)+2.9%β€”β€”
Return (7d)β€”β€”β€”
Return (14d)+16.1%β€”β€”
Return (30d)+60.0%
94
93
Return (60d)+5.9%β€”β€”
Return (90d)-96.8%
6
5
Return (all)-96.8%β€”β€”
Log return (24h)+2.8%β€”β€”
Log return (3d)+2.8%β€”β€”
Log return (7d)β€”β€”β€”
Log return (14d)+15.0%β€”β€”
Log return (30d)+47.0%β€”β€”
Log return (60d)+5.7%β€”β€”
Log return (90d)-345.6%β€”β€”
Log return (all)-345.6%β€”β€”
High (24h)β€”β€”β€”
High (3d)$0.36β€”β€”
High (7d)$0.36β€”β€”
High (14d)$0.36β€”β€”
High (30d)$0.36β€”β€”
High (60d)$0.36β€”β€”
High (90d)$11.41β€”β€”
High (all)$11.41β€”β€”
Low (24h)β€”β€”β€”
Low (3d)$0.35β€”β€”
Low (7d)$0.35β€”β€”
Low (14d)$0.21β€”β€”
Low (30d)$0.21β€”β€”
Low (60d)$0.21β€”β€”
Low (90d)$0.21β€”β€”
Low (all)$0.21β€”β€”
Mean price (24h)β€”β€”β€”
Mean price (3d)$0.36β€”β€”
Mean price (7d)$0.36β€”β€”
Mean price (14d)$0.27β€”β€”
Mean price (30d)$0.28β€”β€”
Mean price (60d)$0.27β€”β€”
Mean price (90d)$0.69β€”β€”
Mean price (all)$0.69β€”β€”
Median price (24h)β€”β€”β€”
Median price (3d)$0.36β€”β€”
Median price (7d)$0.36β€”β€”
Median price (14d)$0.24β€”β€”
Median price (30d)$0.28β€”β€”
Median price (60d)$0.28β€”β€”
Median price (90d)$0.29β€”β€”
Median price (all)$0.29β€”β€”
Range % (24h)β€”β€”β€”
Range % (3d)+2.9%β€”β€”
Range % (7d)+2.9%β€”β€”
Range % (14d)+71.4%β€”β€”
Range % (30d)+71.4%β€”β€”
Range % (60d)+71.4%β€”β€”
Range % (90d)+5333.3%β€”β€”
Range % (all)+5333.3%β€”β€”
Position in range (24h)β€”β€”β€”
Position in range (3d)β€”β€”β€”
Position in range (7d)β€”β€”β€”
Position in range (14d)β€”β€”β€”
Position in range (30d)100β€”β€”
Position in range (60d)100β€”β€”
Position in range (90d)1
26
26
Position in range (all)1β€”β€”
Distance from high (24h)β€”β€”β€”
Distance from high (3d)+0.0%β€”β€”
Distance from high (7d)+0.0%β€”β€”
Distance from high (14d)+0.0%β€”β€”
Distance from high (30d)+0.0%β€”β€”
Distance from high (60d)+0.0%β€”β€”
Distance from high (90d)-96.8%
10
6
Distance from high (all)-96.8%β€”β€”
Distance from low (24h)β€”β€”β€”
Distance from low (3d)+2.9%β€”β€”
Distance from low (7d)+2.9%β€”β€”
Distance from low (14d)+71.4%β€”β€”
Distance from low (30d)+71.4%β€”β€”
Distance from low (60d)+71.4%β€”β€”
Distance from low (90d)+71.4%β€”β€”
Distance from low (all)+71.4%β€”β€”
Price vs mean (24h)β€”β€”β€”
Price vs mean (3d)+1.4%β€”β€”
Price vs mean (7d)+1.4%β€”β€”
Price vs mean (14d)+32.4%β€”β€”
Price vs mean (30d)+28.4%β€”β€”
Price vs mean (60d)+32.9%β€”β€”
Price vs mean (90d)-47.6%β€”β€”
Price vs mean (all)-47.6%β€”β€”
Up days (24h)0β€”β€”
Up days (3d)1β€”β€”
Up days (7d)1β€”β€”
Up days (14d)3β€”β€”
Up days (30d)8β€”β€”
Up days (60d)13β€”β€”
Up days (90d)17β€”β€”
Up days (all)17β€”β€”
Down days (24h)0β€”β€”
Down days (3d)0β€”β€”
Down days (7d)0β€”β€”
Down days (14d)3β€”β€”
Down days (30d)7β€”β€”
Down days (60d)14β€”β€”
Down days (90d)29β€”β€”
Down days (all)29β€”β€”
Up-day ratio (24h)β€”β€”β€”
Up-day ratio (3d)100β€”β€”
Up-day ratio (7d)100β€”β€”
Up-day ratio (14d)50β€”β€”
Up-day ratio (30d)53β€”β€”
Up-day ratio (60d)48β€”β€”
Up-day ratio (90d)37β€”β€”
Up-day ratio (all)37β€”β€”
Up-day streak2.0dβ€”β€”

Trend

11/38 populated
IndicatorValuevs marketvs cohort
SMA (7)β€”β€”β€”
Price vs SMA (7)β€”β€”β€”
SMA (14)β€”β€”β€”
Price vs SMA (14)β€”β€”β€”
SMA (21)β€”β€”β€”
Price vs SMA (21)β€”β€”β€”
SMA (30)β€”β€”β€”
Price vs SMA (30)β€”β€”β€”
SMA (50)β€”β€”β€”
Price vs SMA (50)β€”β€”β€”
SMA (90)β€”β€”β€”
Price vs SMA (90)β€”β€”β€”
SMA (100)β€”β€”β€”
Price vs SMA (100)β€”β€”β€”
EMA (7)β€”β€”β€”
Price vs EMA (7)β€”β€”β€”
EMA (14)β€”β€”β€”
Price vs EMA (14)β€”β€”β€”
EMA (30)β€”β€”β€”
Price vs EMA (30)β€”β€”β€”
RSI (7)β€”β€”β€”
RSI (14)β€”β€”β€”
RSI (21)β€”β€”β€”
RSI (30)β€”β€”β€”
RSI (50)β€”β€”β€”
RSI (100)β€”β€”β€”
Trend slope (14d)+4.1%β€”β€”
Trend slope (30d)+0.3%
82
82
Trend slope (60d)+0.2%β€”β€”
Trend slope (90d)-4.5%β€”β€”
Trend slope (all)-4.5%β€”β€”
Trend fit RΒ² (14d)0.22Γ—β€”β€”
Trend fit RΒ² (30d)0.02Γ—β€”β€”
Trend fit RΒ² (60d)0.05Γ—β€”β€”
Trend fit RΒ² (90d)0.16Γ—β€”β€”
Trend fit RΒ² (all)0.16Γ—β€”β€”
SMA 7/30 crossβ€”β€”β€”
Days since trend flip1.0dβ€”β€”

Volatility & risk

31/33 populated
IndicatorValuevs marketvs cohort
Return stdev (7d)β€”β€”β€”
Return stdev (14d)+22.3%β€”β€”
Return stdev (30d)+16.2%
62
64
Return stdev (60d)+13.0%β€”β€”
Return stdev (90d)+44.1%β€”β€”
Return stdev (all)+44.1%β€”β€”
Downside deviation (30d)+7.3%β€”β€”
Downside deviation (60d)+7.6%β€”β€”
Downside deviation (90d)+20.9%β€”β€”
Max drawdown (30d)+41.7%β€”β€”
Max drawdown (60d)+41.7%β€”β€”
Max drawdown (90d)+98.2%
93
95
Max drawdown (all)+98.2%β€”β€”
Current drawdown (90d)+96.8%
90
94
Current drawdown (all)+96.8%β€”β€”
Drawdown duration (90d)81dβ€”β€”
Drawdown duration (all)81dβ€”β€”
Sortino ratio (30d)0.51Γ—
87
86
Sortino ratio (90d)0.23Γ—β€”β€”
Return skew (30d)1.47β€”β€”
Return skew (90d)7.19β€”β€”
Excess kurtosis (30d)2.76β€”β€”
Excess kurtosis (90d)57.12β€”β€”
Largest up day (7d)+2.9%β€”β€”
Largest up day (14d)+55.6%β€”β€”
Largest up day (30d)+55.6%β€”β€”
Largest up day (60d)+55.6%β€”β€”
Largest up day (90d)+562.0%β€”β€”
Largest down day (7d)β€”β€”β€”
Largest down day (14d)+22.6%β€”β€”
Largest down day (30d)+22.6%β€”β€”
Largest down day (60d)+26.5%β€”β€”
Largest down day (90d)+91.3%β€”β€”

Liquidity

5/20 populated
IndicatorValuevs marketvs cohort
Turnover %β€”β€”β€”
On-market %+2.4%
66
68
Days to clear listingsβ€”β€”β€”
Lifetime sales / dayneeds provenance-safe secondary-market lifetime salesβ€”β€”
Liquidity score22
66
68
Listings on book13β€”β€”
Amihud illiquidity (30d)needs provenance-safe Steam sales historyβ€”β€”
Amihud illiquidity (60d)needs provenance-safe Steam sales historyβ€”β€”
Amihud illiquidity (90d)needs provenance-safe Steam sales historyβ€”β€”
Zero-sale-day share (30d)needs provenance-safe Steam sales historyβ€”β€”
Zero-sale-day share (60d)needs provenance-safe Steam sales historyβ€”β€”
Zero-sale-day share (90d)needs provenance-safe Steam sales historyβ€”β€”
Listings trend (7d)needs provenance-safe Steam listings historyβ€”β€”
Listings trend (14d)needs provenance-safe Steam listings historyβ€”β€”
Listings trend (30d)needs provenance-safe Steam listings historyβ€”β€”
Listings trend (60d)needs provenance-safe Steam listings historyβ€”β€”
Bid-ask spread %+88.0%β€”β€”
Near-mid bid imbalanceβ€”β€”β€”
Bid-depth trend (7d)β€”β€”β€”
Bid-floor migration (7d)+0.0%β€”β€”

Supply & ownership

21/21 populated
IndicatorValuevs marketvs cohort
Supply growth (7d)+5.8%β€”β€”
Supply growth (14d)+9.9%β€”β€”
Supply growth (30d)+20.6%
83
86
Supply growth (60d)+51.1%β€”β€”
Supply growth (90d)+850.0%β€”β€”
Owner growth (7d)n/s+3.0%β€”β€”
Owner growth (14d)n/s+13.3%β€”β€”
Owner growth (30d)n/s+21.4%
90
88
Owner growth (60d)n/s+41.7%β€”β€”
Owner growth (90d)n/s+3300.0%β€”β€”
Mint rate (7d)4.83β€”β€”
Mint rate (30d)3.14β€”β€”
Supply doubling time111dβ€”β€”
Copies per ownern/s15.74Γ—
90
85
Top-1 holder sharen/s+1.7%
29
26
Top-10 holder sharen/s+5.0%
14
10
HHI (top-10)n/s4.51β€”β€”
Whale count (β‰₯5)n/s1β€”β€”
Absorption (30d)n/s+0.8%
81
89
Absorption (60d)n/s-9.5%β€”β€”
Absorption (90d)n/s+2450.0%β€”β€”

Lifecycle & value

13/18 populated
IndicatorValuevs marketvs cohort
Ageneeds a release dateβ€”β€”
Days since fixationn/sβ€”β€”β€”
Days until leaving storen/sβ€”β€”β€”
Release-price multipleβ€”β€”β€”
Store-price ratioβ€”β€”β€”
Fair-value residual-74.6%
12
11
Price per scarcity point0.01Γ—β€”β€”
Instant-sell discount+61.1%β€”β€”
Bid-floor backing$0.14β€”β€”
Accumulation score50β€”β€”
Market-relative 7d return+61.5%
95
95
Momentum pillar21
5
5
Scarcity pillar59β€”β€”
Liquidity pillar14β€”β€”
Value pillar92β€”β€”
Risk pillar14β€”β€”
Overall rating45
46
44
Data completeness+73.3%β€”β€”

Relative to market

7/9 populated
IndicatorValuevs marketvs cohort
Beta vs market (14d)β€”β€”β€”
Beta vs market (30d)1.38Γ—
84
82
Beta vs market (90d)1.02Γ—β€”β€”
Market correlation (14d)β€”β€”β€”
Market correlation (30d)0.34Γ—β€”β€”
Market correlation (90d)0.35Γ—β€”β€”
Return vs market (14d)+27.6%β€”β€”
Return vs market (30d)+51.7%
94
94
Return vs market (90d)-70.6%β€”β€”

Events

12/15 populated
IndicatorValuevs marketvs cohort
Spike days (30d)3
90
90
Spike days (60d)5β€”β€”
Spike days (90d)8β€”β€”
Dump days (30d)2
75
75
Dump days (60d)4β€”β€”
Dump days (90d)11β€”β€”
Post-spike reversion (30d)+4.0%β€”β€”
Post-spike reversion (60d)+3.1%β€”β€”
Post-spike reversion (90d)+65.0%β€”β€”
Listing shocks (30d)needs provenance-safe Steam listings historyβ€”β€”
Listing shocks (60d)needs provenance-safe Steam listings historyβ€”β€”
Listing shocks (90d)needs provenance-safe Steam listings historyβ€”β€”
Net spike bias (30d)1β€”β€”
Net spike bias (60d)1β€”β€”
Net spike bias (90d)-3β€”β€”

Percentiles are computed against the latest cross-sectional market snapshot. β€œn/s” marks indicators not scoring in this item's lifecycle stage. All figures are informational only, not financial advice.