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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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Back to Mob Boss Pinstripe Trousers

Mob Boss Pinstripe Trousersfull 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: 77%.

Overall rating

?Fixed supply
Insight Engine v2
34/ 100
D
Momentum50
Scarcity14
Liquidity16
Value44
Risk36

Recomputed each sync: last updated Oct 8, 9:02 AM.

Signal narrative

Bearish
6-hour dip !!

Down 18.6% in the last 6 hours: near-term weakness.

High supply !!

11,942 total supply: a common item, minimal scarcity premium.

Low scarcity score

Scarcity score 14/100: abundant and liquid.

Holders are holding !!

Only 0.6% of supply listed: low sell pressure.

Concentrated ownership

~11.3 units per owner; a few holders control much of the supply.

Item drop !!

A random in-game drop (1,197 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.

Above modelled fair value !!

Trading 50% over our supply/rarity model's estimate; richly priced versus comparable skins.

Fixed supply

Supply is fixed; every new owner must buy on the market.

Phantom price !!

The listed price sits 94% above the best standing bid of $0.36; 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 headline here is structural, not directional: the $0.46 ask sits 94% above the best standing bid of $0.36, with a 24.4% bid/ask spread and only 76 active listings against 11,942 units in existence. That phantom-price gap sits alongside a model read of 49.5% above fair value, so the quoted price is doing more work than the order book supports. Liquidity scores 16/100 and lands in the 5th percentile of its cohort, which makes the 18.6% six-hour drop hard to read as genuine repricing. A 3.0% seven-day move still trails the market median by 3.4%, and the overall grade is D at 30/100. Fixed supply and 1,057 holders are the counterweight, but thin exit routes remain the binding constraint.

AI-generated from live market data Β· updated 17h ago Β· Not financial advice β€” automated analysis for informational purposes only.

Price action

100/113 populated
IndicatorValuevs marketvs cohort
Return (24h)+0.0%β€”β€”
Return (3d)+0.0%β€”β€”
Return (7d)+0.0%
75
75
Return (14d)+17.9%β€”β€”
Return (30d)-6.1%
70
59
Return (60d)-9.8%β€”β€”
Return (90d)-28.1%
63
55
Return (all)-91.6%β€”β€”
Log return (24h)+0.0%β€”β€”
Log return (3d)+0.0%β€”β€”
Log return (7d)+0.0%β€”β€”
Log return (14d)+16.5%β€”β€”
Log return (30d)-6.3%β€”β€”
Log return (60d)-10.3%β€”β€”
Log return (90d)-33.0%β€”β€”
Log return (all)-247.4%β€”β€”
High (24h)β€”β€”β€”
High (3d)$0.46β€”β€”
High (7d)$0.46β€”β€”
High (14d)$0.49β€”β€”
High (30d)$0.50β€”β€”
High (60d)$0.51β€”β€”
High (90d)$0.71β€”β€”
High (all)$5.46β€”β€”
Low (24h)β€”β€”β€”
Low (3d)$0.46β€”β€”
Low (7d)$0.38β€”β€”
Low (14d)$0.38β€”β€”
Low (30d)$0.38β€”β€”
Low (60d)$0.36β€”β€”
Low (90d)$0.36β€”β€”
Low (all)$0.36β€”β€”
Mean price (24h)β€”β€”β€”
Mean price (3d)$0.46β€”β€”
Mean price (7d)$0.43β€”β€”
Mean price (14d)$0.45β€”β€”
Mean price (30d)$0.46β€”β€”
Mean price (60d)$0.45β€”β€”
Mean price (90d)$0.52β€”β€”
Mean price (all)$1.45β€”β€”
Median price (24h)β€”β€”β€”
Median price (3d)$0.46β€”β€”
Median price (7d)$0.46β€”β€”
Median price (14d)$0.46β€”β€”
Median price (30d)$0.49β€”β€”
Median price (60d)$0.48β€”β€”
Median price (90d)$0.49β€”β€”
Median price (all)$0.79β€”β€”
Range % (24h)β€”β€”β€”
Range % (3d)+0.0%β€”β€”
Range % (7d)+21.1%β€”β€”
Range % (14d)+28.9%β€”β€”
Range % (30d)+31.6%β€”β€”
Range % (60d)+41.7%β€”β€”
Range % (90d)+97.2%β€”β€”
Range % (all)+1416.7%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)73β€”β€”
Position in range (30d)67β€”β€”
Position in range (60d)67β€”β€”
Position in range (90d)29
71
62
Position in range (all)2β€”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)-6.1%β€”β€”
Distance from high (30d)-8.0%β€”β€”
Distance from high (60d)-9.8%β€”β€”
Distance from high (90d)-35.2%
78
71
Distance from high (all)-91.6%β€”β€”
Distance from low (24h)β€”β€”β€”
Distance from low (3d)+0.0%β€”β€”
Distance from low (7d)+21.1%β€”β€”
Distance from low (14d)+21.1%β€”β€”
Distance from low (30d)+21.1%β€”β€”
Distance from low (60d)+27.8%β€”β€”
Distance from low (90d)+27.8%β€”β€”
Distance from low (all)+27.8%β€”β€”
Price vs mean (24h)β€”β€”β€”
Price vs mean (3d)+0.0%β€”β€”
Price vs mean (7d)+7.5%β€”β€”
Price vs mean (14d)+2.4%β€”β€”
Price vs mean (30d)-0.4%β€”β€”
Price vs mean (60d)+1.3%β€”β€”
Price vs mean (90d)-11.8%β€”β€”
Price vs mean (all)-68.2%β€”β€”
Up days (24h)0β€”β€”
Up days (3d)0β€”β€”
Up days (7d)1β€”β€”
Up days (14d)2β€”β€”
Up days (30d)4β€”β€”
Up days (60d)9β€”β€”
Up days (90d)13β€”β€”
Up days (all)42β€”β€”
Down days (24h)0β€”β€”
Down days (3d)0β€”β€”
Down days (7d)1β€”β€”
Down days (14d)2β€”β€”
Down days (30d)7β€”β€”
Down days (60d)16β€”β€”
Down days (90d)25β€”β€”
Down days (all)82β€”β€”
Up-day ratio (24h)β€”β€”β€”
Up-day ratio (3d)β€”β€”β€”
Up-day ratio (7d)50β€”β€”
Up-day ratio (14d)50β€”β€”
Up-day ratio (30d)36β€”β€”
Up-day ratio (60d)36β€”β€”
Up-day ratio (90d)34β€”β€”
Up-day ratio (all)34β€”β€”
Up-day streak0.0dβ€”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)-0.7%β€”β€”
Trend slope (30d)-0.7%
55
50
Trend slope (60d)-0.2%β€”β€”
Trend slope (90d)-0.7%β€”β€”
Trend slope (all)-1.6%β€”β€”
Trend fit RΒ² (14d)0.04Γ—β€”β€”
Trend fit RΒ² (30d)0.25Γ—β€”β€”
Trend fit RΒ² (60d)0.04Γ—β€”β€”
Trend fit RΒ² (90d)0.65Γ—β€”β€”
Trend fit RΒ² (all)0.75Γ—β€”β€”
SMA 7/30 crossβ€”β€”β€”
Days since trend flip3.0dβ€”β€”

Volatility & risk

33/33 populated
IndicatorValuevs marketvs cohort
Return stdev (7d)+15.6%β€”β€”
Return stdev (14d)+12.6%β€”β€”
Return stdev (30d)+8.5%
27
28
Return stdev (60d)+8.2%β€”β€”
Return stdev (90d)+7.8%β€”β€”
Return stdev (all)+9.4%β€”β€”
Downside deviation (30d)+7.1%β€”β€”
Downside deviation (60d)+5.3%β€”β€”
Downside deviation (90d)+5.1%β€”β€”
Max drawdown (30d)+24.0%β€”β€”
Max drawdown (60d)+29.4%β€”β€”
Max drawdown (90d)+49.3%
18
22
Max drawdown (all)+93.4%β€”β€”
Current drawdown (90d)+35.2%
22
28
Current drawdown (all)+91.6%β€”β€”
Drawdown duration (90d)86dβ€”β€”
Drawdown duration (all)182dβ€”β€”
Sortino ratio (30d)0.01Γ—
56
52
Sortino ratio (90d)-0.03Γ—β€”β€”
Return skew (30d)1.12β€”β€”
Return skew (90d)1.72β€”β€”
Excess kurtosis (30d)4.33β€”β€”
Excess kurtosis (90d)6.5β€”β€”
Largest up day (7d)+21.1%β€”β€”
Largest up day (14d)+25.6%β€”β€”
Largest up day (30d)+25.6%β€”β€”
Largest up day (60d)+36.1%β€”β€”
Largest up day (90d)+36.1%β€”β€”
Largest down day (7d)+17.4%β€”β€”
Largest down day (14d)+17.4%β€”β€”
Largest down day (30d)+17.4%β€”β€”
Largest down day (60d)+17.4%β€”β€”
Largest down day (90d)+17.4%β€”β€”

Liquidity

5/20 populated
IndicatorValuevs marketvs cohort
Turnover %β€”β€”β€”
On-market %+0.6%
9
9
Days to clear listingsβ€”β€”β€”
Lifetime sales / dayneeds provenance-safe secondary-market lifetime salesβ€”β€”
Liquidity score6
9
9
Listings on book76β€”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 %+24.4%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

20/21 populated
IndicatorValuevs marketvs cohort
Supply growth (7d)+0.0%β€”β€”
Supply growth (14d)+0.0%β€”β€”
Supply growth (30d)+0.0%
5
5
Supply growth (60d)+0.0%β€”β€”
Supply growth (90d)+0.0%β€”β€”
Owner growth (7d)+0.3%β€”β€”
Owner growth (14d)+0.4%β€”β€”
Owner growth (30d)+0.1%
26
25
Owner growth (60d)+0.0%β€”β€”
Owner growth (90d)-0.2%β€”β€”
Mint rate (7d)0β€”β€”
Mint rate (30d)0β€”β€”
Supply doubling timeβ€”β€”β€”
Copies per owner11.30Γ—
53
51
Top-1 holder share+1.2%
19
26
Top-10 holder share+7.4%
28
33
HHI (top-10)6.14β€”β€”
Whale count (β‰₯5)10β€”β€”
Absorption (30d)+0.1%
45
45
Absorption (60d)+0.0%β€”β€”
Absorption (90d)-0.2%β€”β€”

Lifecycle & value

16/18 populated
IndicatorValuevs marketvs cohort
Age191dβ€”β€”
Days since fixationβ€”β€”β€”
Days until leaving storen/sβ€”β€”β€”
Release-price multiple0.13Γ—
10
5
Store-price ratio0.13Γ—β€”β€”
Fair-value residual+50.1%
62
67
Price per scarcity point0.03Γ—β€”β€”
Instant-sell discount+21.7%β€”β€”
Bid-floor backing$0.36β€”β€”
Accumulation score50β€”β€”
Market-relative 7d return+2.6%
75
75
Momentum pillar50
42
44
Scarcity pillar14β€”β€”
Liquidity pillar16β€”β€”
Value pillar44β€”β€”
Risk pillar36β€”β€”
Overall rating31
6
10
Data completeness+77.4%β€”β€”

Relative to market

9/9 populated
IndicatorValuevs marketvs cohort
Beta vs market (14d)0.60Γ—β€”β€”
Beta vs market (30d)0.06Γ—
37
41
Beta vs market (90d)0.22Γ—β€”β€”
Market correlation (14d)0.17Γ—β€”β€”
Market correlation (30d)0.03Γ—β€”β€”
Market correlation (90d)0.16Γ—β€”β€”
Return vs market (14d)+18.3%β€”β€”
Return vs market (30d)+8.8%
70
62
Return vs market (90d)-23.6%β€”β€”

Events

12/15 populated
IndicatorValuevs marketvs cohort
Spike days (30d)2
75
75
Spike days (60d)3β€”β€”
Spike days (90d)4β€”β€”
Dump days (30d)2
50
75
Dump days (60d)2β€”β€”
Dump days (90d)3β€”β€”
Post-spike reversion (30d)+0.0%β€”β€”
Post-spike reversion (60d)+0.7%β€”β€”
Post-spike reversion (90d)-0.9%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)0β€”β€”
Net spike bias (60d)1β€”β€”
Net spike bias (90d)1β€”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.