S&sboxskins.gg
BrowseNewCompareTrendsLeaderboardMarketStoreWhalesHub
S&sboxskins.gg

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

Browse
All SkinsNew DropsClothingAccessoriesOutfitsMarket TrendsLeaderboardWhalesCompare Skins
Tools
MarketplaceTrading BoardInventory CheckerWatchlistMarket ReportsExport Data (CSV)
Info
FAQContactClaude Bridge

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

Β© 2026 sboxskins.gg

Back to Police Vest

Police Vestfull 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: 75%.

Overall rating

?Fresh drop
Insight Engine v2
37/ 100
D†
Momentum52
Scarcity49
Liquidity17
Value39
Risk29

Recomputed each sync: last updated Sep 24, 11:02 AM.

Signal narrative

Neutral
Holders are holding !!

Only 2.8% of supply listed: low sell pressure.

Concentrated ownership

~12.2 units per owner; a few holders control much of the supply.

Item drop !!

A random in-game drop (904 dropped). It was never sold in the store, so supply is capped by the drop rate.

Weekly downtrend !!

Average price down 20% over the past week versus the prior week.

High volatility

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

Deep drawdown

Down 93% from its 90-day peak: a possible recovery play if demand returns.

Above modelled fair value !!

Trading 235% over our supply/rarity model's estimate; richly priced versus comparable skins.

Fresh drop

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

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 most notable number here is valuation: the $0.77 ask sits 228.6% above the model's fair value and well clear of the $0.42 median sale, with the best standing bid at $0.49 and a 43.2% bid/ask spread separating the two. The 7d move of -24.6% and a 95th percentile dump-day count place this in the 5th percentile for 30d return, though in this single-regime market sharp drawdowns have tended to recover, so the 6h bounce of +6.9% reads as a possible recovery setup rather than confirmed momentum. Liquidity is thin at 16/100 with 24 live listings and 74 owners across 893 units. Overall grade is D at 36/100.

AI-generated from live market data Β· updated 1d ago Β· Not financial advice β€” automated analysis for informational purposes only.

Price action

97/113 populated
IndicatorValuevs marketvs cohort
Return (24h)-2.6%β€”β€”
Return (3d)β€”β€”β€”
Return (7d)-1.3%
43
45
Return (14d)-24.2%β€”β€”
Return (30d)-57.6%
5
5
Return (60d)-3.8%β€”β€”
Return (90d)-92.9%
10
13
Return (all)-92.9%β€”β€”
Log return (24h)-2.6%β€”β€”
Log return (3d)β€”β€”β€”
Log return (7d)-1.3%β€”β€”
Log return (14d)-27.8%β€”β€”
Log return (30d)-85.9%β€”β€”
Log return (60d)-3.9%β€”β€”
Log return (90d)-264.6%β€”β€”
Log return (all)-264.6%β€”β€”
High (24h)β€”β€”β€”
High (3d)$0.75β€”β€”
High (7d)$0.77β€”β€”
High (14d)$0.99β€”β€”
High (30d)$1.77β€”β€”
High (60d)$3.34β€”β€”
High (90d)$10.58β€”β€”
High (all)$10.58β€”β€”
Low (24h)β€”β€”β€”
Low (3d)$0.75β€”β€”
Low (7d)$0.75β€”β€”
Low (14d)$0.75β€”β€”
Low (30d)$0.75β€”β€”
Low (60d)$0.74β€”β€”
Low (90d)$0.60β€”β€”
Low (all)$0.60β€”β€”
Mean price (24h)β€”β€”β€”
Mean price (3d)$0.75β€”β€”
Mean price (7d)$0.76β€”β€”
Mean price (14d)$0.83β€”β€”
Mean price (30d)$1.11β€”β€”
Mean price (60d)$1.09β€”β€”
Mean price (90d)$1.24β€”β€”
Mean price (all)$1.24β€”β€”
Median price (24h)β€”β€”β€”
Median price (3d)$0.75β€”β€”
Median price (7d)$0.76β€”β€”
Median price (14d)$0.77β€”β€”
Median price (30d)$0.99β€”β€”
Median price (60d)$0.96β€”β€”
Median price (90d)$0.85β€”β€”
Median price (all)$0.85β€”β€”
Range % (24h)β€”β€”β€”
Range % (3d)β€”β€”β€”
Range % (7d)+2.0%β€”β€”
Range % (14d)+32.0%β€”β€”
Range % (30d)+136.0%β€”β€”
Range % (60d)+351.4%β€”β€”
Range % (90d)+1662.5%β€”β€”
Range % (all)+1662.5%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)0β€”β€”
Position in range (30d)0β€”β€”
Position in range (60d)0β€”β€”
Position in range (90d)2
23
22
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)-2.0%β€”β€”
Distance from high (14d)-24.2%β€”β€”
Distance from high (30d)-57.6%β€”β€”
Distance from high (60d)-77.5%β€”β€”
Distance from high (90d)-92.9%
13
14
Distance from high (all)-92.9%β€”β€”
Distance from low (24h)β€”β€”β€”
Distance from low (3d)+0.0%β€”β€”
Distance from low (7d)+0.0%β€”β€”
Distance from low (14d)+0.0%β€”β€”
Distance from low (30d)+0.0%β€”β€”
Distance from low (60d)+1.4%β€”β€”
Distance from low (90d)+25.0%β€”β€”
Distance from low (all)+25.0%β€”β€”
Price vs mean (24h)β€”β€”β€”
Price vs mean (3d)+0.0%β€”β€”
Price vs mean (7d)-1.2%β€”β€”
Price vs mean (14d)-9.9%β€”β€”
Price vs mean (30d)-32.7%β€”β€”
Price vs mean (60d)-31.3%β€”β€”
Price vs mean (90d)-39.4%β€”β€”
Price vs mean (all)-39.4%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)12β€”β€”
Up days (90d)19β€”β€”
Up days (all)19β€”β€”
Down days (24h)0β€”β€”
Down days (3d)0β€”β€”
Down days (7d)1β€”β€”
Down days (14d)7β€”β€”
Down days (30d)17β€”β€”
Down days (60d)25β€”β€”
Down days (90d)42β€”β€”
Down days (all)42β€”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)22β€”β€”
Up-day ratio (30d)19β€”β€”
Up-day ratio (60d)32β€”β€”
Up-day ratio (90d)31β€”β€”
Up-day ratio (all)31β€”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)-2.9%β€”β€”
Trend slope (30d)-3.0%
11
13
Trend slope (60d)+0.1%β€”β€”
Trend slope (90d)-1.0%β€”β€”
Trend slope (all)-1.0%β€”β€”
Trend fit RΒ² (14d)0.75Γ—β€”β€”
Trend fit RΒ² (30d)0.68Γ—β€”β€”
Trend fit RΒ² (60d)0.00Γ—β€”β€”
Trend fit RΒ² (90d)0.05Γ—β€”β€”
Trend fit RΒ² (all)0.05Γ—β€”β€”
SMA 7/30 crossβ€”β€”β€”
Days since trend flip17dβ€”β€”

Volatility & risk

33/33 populated
IndicatorValuevs marketvs cohort
Return stdev (7d)+1.1%β€”β€”
Return stdev (14d)+5.4%β€”β€”
Return stdev (30d)+14.4%
58
56
Return stdev (60d)+24.6%β€”β€”
Return stdev (90d)+26.5%β€”β€”
Return stdev (all)+26.5%β€”β€”
Downside deviation (30d)+9.6%β€”β€”
Downside deviation (60d)+13.9%β€”β€”
Downside deviation (90d)+15.7%β€”β€”
Max drawdown (30d)+57.6%β€”β€”
Max drawdown (60d)+77.5%β€”β€”
Max drawdown (90d)+94.3%
87
85
Max drawdown (all)+94.3%β€”β€”
Current drawdown (90d)+92.9%
87
86
Current drawdown (all)+92.9%β€”β€”
Drawdown duration (90d)82dβ€”β€”
Drawdown duration (all)82dβ€”β€”
Sortino ratio (30d)-0.23Γ—
16
19
Sortino ratio (90d)0.00Γ—β€”β€”
Return skew (30d)2.08β€”β€”
Return skew (90d)2.24β€”β€”
Excess kurtosis (30d)10.35β€”β€”
Excess kurtosis (90d)9.42β€”β€”
Largest up day (7d)+0.7%β€”β€”
Largest up day (14d)+2.7%β€”β€”
Largest up day (30d)+57.5%β€”β€”
Largest up day (60d)+144.4%β€”β€”
Largest up day (90d)+144.4%β€”β€”
Largest down day (7d)+2.0%β€”β€”
Largest down day (14d)+15.8%β€”β€”
Largest down day (30d)+35.0%β€”β€”
Largest down day (60d)+47.0%β€”β€”
Largest down day (90d)+64.4%β€”β€”

Liquidity

6/20 populated
IndicatorValuevs marketvs cohort
Turnover %β€”β€”β€”
On-market %+2.8%
69
67
Days to clear listingsβ€”β€”β€”
Lifetime sales / dayneeds provenance-safe secondary-market lifetime salesβ€”β€”
Liquidity score24
69
67
Listings on book25β€”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 %+42.2%β€”β€”
Near-mid bid imbalanceβ€”β€”β€”
Bid-depth trend (7d)-100.0%β€”β€”
Bid-floor migration (7d)-80.8%β€”β€”

Supply & ownership

21/21 populated
IndicatorValuevs marketvs cohort
Supply growth (7d)+2.7%β€”β€”
Supply growth (14d)+7.7%β€”β€”
Supply growth (30d)+20.2%
84
82
Supply growth (60d)+54.0%β€”β€”
Supply growth (90d)+963.5%β€”β€”
Owner growth (7d)n/s+0.0%β€”β€”
Owner growth (14d)n/s+2.8%β€”β€”
Owner growth (30d)n/s+4.2%
75
75
Owner growth (60d)n/s+39.6%β€”β€”
Owner growth (90d)n/s+2366.7%β€”β€”
Mint rate (7d)4β€”β€”
Mint rate (30d)5.24β€”β€”
Supply doubling time113dβ€”β€”
Copies per ownern/s12.22Γ—
61
61
Top-1 holder sharen/s+1.1%
15
18
Top-10 holder sharen/s+5.2%
16
21
HHI (top-10)n/s4.22β€”β€”
Whale count (β‰₯5)n/s3β€”β€”
Absorption (30d)n/s-16.0%
8
9
Absorption (60d)n/s-14.4%β€”β€”
Absorption (90d)n/s+1403.1%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+234.8%
91
93
Price per scarcity point0.02Γ—β€”β€”
Instant-sell discount+42.7%β€”β€”
Bid-floor backing$0.14β€”β€”
Accumulation score16β€”β€”
Market-relative 7d return-1.3%
43
45
Momentum pillar52
60
63
Scarcity pillar49β€”β€”
Liquidity pillar17β€”β€”
Value pillar39β€”β€”
Risk pillar29β€”β€”
Overall rating37
17
18
Data completeness+74.9%β€”β€”

Relative to market

9/9 populated
IndicatorValuevs marketvs cohort
Beta vs market (14d)0.74Γ—β€”β€”
Beta vs market (30d)-0.20Γ—
30
30
Beta vs market (90d)-0.02Γ—β€”β€”
Market correlation (14d)0.65Γ—β€”β€”
Market correlation (30d)-0.06Γ—β€”β€”
Market correlation (90d)-0.01Γ—β€”β€”
Return vs market (14d)-19.6%β€”β€”
Return vs market (30d)-66.2%
5
5
Return vs market (90d)-85.6%β€”β€”

Events

12/15 populated
IndicatorValuevs marketvs cohort
Spike days (30d)1
25
50
Spike days (60d)6β€”β€”
Spike days (90d)10β€”β€”
Dump days (30d)4
95
95
Dump days (60d)7β€”β€”
Dump days (90d)15β€”β€”
Post-spike reversion (30d)-1.8%β€”β€”
Post-spike reversion (60d)-4.9%β€”β€”
Post-spike reversion (90d)-5.2%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)-3β€”β€”
Net spike bias (60d)-1β€”β€”
Net spike bias (90d)-5β€”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.