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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 Fleece Jacket White

Fleece Jacket Whitefull 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: 82%.

Overall rating

?Fresh drop
Insight Engine v2
40/ 100
C†
Momentum64
Scarcity58
Liquidity11
Value52
Risk13

Recomputed each sync: last updated Nov 9, 5:02 PM.

Signal narrative

Slightly bullish
Holders are holding !!

Only 1.7% of supply listed: low sell pressure.

Concentrated ownership

~13.7 units per owner; a few holders control much of the supply.

Item drop !!

A random in-game drop (714 dropped). It was never sold in the store, so supply is capped by the drop rate.

Weekly downtrend !!

Average price down 33% over the past week versus the prior week.

High volatility

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

Fresh drop

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

Phantom price !!

The median sale price sits 107% above the best standing bid of $0.15; you could not actually sell there right now.

Bids accumulating !!

Order-book support has been building (accumulation score 80/100), with bid depth, value and floor all rising over the past week.

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 defining feature here is a dislocated order book: the best standing bid is $0.15 against a $0.31 median sale and a $0.39 ask, a spread of 88.9% that leaves the displayed price floating 107% above any real buyer. That phantom structure, plus a liquidity score of 11 and a risk/safety score of 13, is the main thing to weigh against the bullish reads. The 7d decline of 32.8% is flagged contrarian, a possible recovery setup rather than a trend to extrapolate, and the price sits 18.8% below the fair-value model. Momentum ranks in the 93rd percentile while 90d return sits in the 11th, so the two timeframes disagree. Fresh drop, 714 units, concentrated ownership, grade C at 41/100.

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

Price action

107/113 populated
IndicatorValuevs marketvs cohort
Return (24h)+0.0%β€”β€”
Return (3d)+0.0%β€”β€”
Return (7d)-2.5%
51
48
Return (14d)-35.0%β€”β€”
Return (30d)+143.8%
76
62
Return (60d)+34.5%β€”β€”
Return (90d)-35.0%
12
16
Return (all)-91.3%β€”β€”
Log return (24h)+0.0%β€”β€”
Log return (3d)+0.0%β€”β€”
Log return (7d)-2.5%β€”β€”
Log return (14d)-43.1%β€”β€”
Log return (30d)+89.1%β€”β€”
Log return (60d)+29.6%β€”β€”
Log return (90d)-43.1%β€”β€”
Log return (all)-243.9%β€”β€”
High (24h)$0.39β€”β€”
High (3d)$0.39β€”β€”
High (7d)$0.40β€”β€”
High (14d)$0.60β€”β€”
High (30d)$0.60β€”β€”
High (60d)$0.60β€”β€”
High (90d)$0.60β€”β€”
High (all)$90.96β€”β€”
Low (24h)$0.39β€”β€”
Low (3d)$0.39β€”β€”
Low (7d)$0.39β€”β€”
Low (14d)$0.39β€”β€”
Low (30d)$0.13β€”β€”
Low (60d)$0.13β€”β€”
Low (90d)$0.13β€”β€”
Low (all)$0.13β€”β€”
Mean price (24h)$0.39β€”β€”
Mean price (3d)$0.39β€”β€”
Mean price (7d)$0.40β€”β€”
Mean price (14d)$0.49β€”β€”
Mean price (30d)$0.36β€”β€”
Mean price (60d)$0.30β€”β€”
Mean price (90d)$0.29β€”β€”
Mean price (all)$1.16β€”β€”
Median price (24h)$0.39β€”β€”
Median price (3d)$0.39β€”β€”
Median price (7d)$0.40β€”β€”
Median price (14d)$0.49β€”β€”
Median price (30d)$0.28β€”β€”
Median price (60d)$0.27β€”β€”
Median price (90d)$0.26β€”β€”
Median price (all)$0.26β€”β€”
Range % (24h)β€”β€”β€”
Range % (3d)+0.0%β€”β€”
Range % (7d)+2.6%β€”β€”
Range % (14d)+53.8%β€”β€”
Range % (30d)+361.5%β€”β€”
Range % (60d)+361.5%β€”β€”
Range % (90d)+361.5%β€”β€”
Range % (all)+69869.2%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)55β€”β€”
Position in range (60d)55β€”β€”
Position in range (90d)55
58
50
Position in range (all)0β€”β€”
Distance from high (24h)+0.0%β€”β€”
Distance from high (3d)+0.0%β€”β€”
Distance from high (7d)-2.5%β€”β€”
Distance from high (14d)-35.0%β€”β€”
Distance from high (30d)-35.0%β€”β€”
Distance from high (60d)-35.0%β€”β€”
Distance from high (90d)-35.0%
48
44
Distance from high (all)-99.6%β€”β€”
Distance from low (24h)+0.0%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)+200.0%β€”β€”
Distance from low (60d)+200.0%β€”β€”
Distance from low (90d)+200.0%β€”β€”
Distance from low (all)+200.0%β€”β€”
Price vs mean (24h)+0.0%β€”β€”
Price vs mean (3d)+0.0%β€”β€”
Price vs mean (7d)-1.4%β€”β€”
Price vs mean (14d)-20.8%β€”β€”
Price vs mean (30d)+7.0%β€”β€”
Price vs mean (60d)+30.1%β€”β€”
Price vs mean (90d)+33.2%β€”β€”
Price vs mean (all)-66.4%β€”β€”
Up days (24h)0β€”β€”
Up days (3d)0β€”β€”
Up days (7d)0β€”β€”
Up days (14d)0β€”β€”
Up days (30d)5β€”β€”
Up days (60d)8β€”β€”
Up days (90d)11β€”β€”
Up days (all)20β€”β€”
Down days (24h)0β€”β€”
Down days (3d)0β€”β€”
Down days (7d)1β€”β€”
Down days (14d)4β€”β€”
Down days (30d)7β€”β€”
Down days (60d)14β€”β€”
Down days (90d)22β€”β€”
Down days (all)41β€”β€”
Up-day ratio (24h)β€”β€”β€”
Up-day ratio (3d)β€”β€”β€”
Up-day ratio (7d)0β€”β€”
Up-day ratio (14d)0β€”β€”
Up-day ratio (30d)42β€”β€”
Up-day ratio (60d)36β€”β€”
Up-day ratio (90d)33β€”β€”
Up-day ratio (all)33β€”β€”
Up-day streak0.0dβ€”β€”

Trend

21/38 populated
IndicatorValuevs marketvs cohort
SMA (7)$0.40β€”β€”
Price vs SMA (7)-1.4%β€”β€”
SMA (14)$0.49β€”β€”
Price vs SMA (14)-20.8%β€”β€”
SMA (21)$0.42β€”β€”
Price vs SMA (21)-6.5%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)$0.40β€”β€”
Price vs EMA (7)-1.4%β€”β€”
EMA (14)$0.49β€”β€”
Price vs EMA (14)-20.8%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)-4.4%β€”β€”
Trend slope (30d)+3.1%
87
75
Trend slope (60d)+1.9%β€”β€”
Trend slope (90d)+0.6%β€”β€”
Trend slope (all)-2.1%β€”β€”
Trend fit RΒ² (14d)0.80Γ—β€”β€”
Trend fit RΒ² (30d)0.43Γ—β€”β€”
Trend fit RΒ² (60d)0.38Γ—β€”β€”
Trend fit RΒ² (90d)0.08Γ—β€”β€”
Trend fit RΒ² (all)0.01Γ—β€”β€”
SMA 7/30 crossβ€”β€”β€”
Days since trend flip7.0dβ€”β€”

Volatility & risk

31/33 populated
IndicatorValuevs marketvs cohort
Return stdev (7d)+1.0%β€”β€”
Return stdev (14d)+9.7%β€”β€”
Return stdev (30d)+20.0%
64
64
Return stdev (60d)+19.0%β€”β€”
Return stdev (90d)+18.4%β€”β€”
Return stdev (all)+89.7%β€”β€”
Downside deviation (30d)+10.9%β€”β€”
Downside deviation (60d)+12.4%β€”β€”
Downside deviation (90d)+12.8%β€”β€”
Max drawdown (30d)+35.0%β€”β€”
Max drawdown (60d)+55.2%β€”β€”
Max drawdown (90d)+78.3%
83
81
Max drawdown (all)+99.9%β€”β€”
Current drawdown (90d)+35.0%
51
56
Current drawdown (all)+99.6%β€”β€”
Drawdown duration (90d)89dβ€”β€”
Drawdown duration (all)106dβ€”β€”
Sortino ratio (30d)0.52Γ—
47
38
Sortino ratio (90d)0.10Γ—β€”β€”
Return skew (30d)3.7β€”β€”
Return skew (90d)3.15β€”β€”
Excess kurtosis (30d)16.01β€”β€”
Excess kurtosis (90d)16.93β€”β€”
Largest up day (7d)β€”β€”β€”
Largest up day (14d)β€”β€”β€”
Largest up day (30d)+130.8%β€”β€”
Largest up day (60d)+130.8%β€”β€”
Largest up day (90d)+130.8%β€”β€”
Largest down day (7d)+2.5%β€”β€”
Largest down day (14d)+29.8%β€”β€”
Largest down day (30d)+29.8%β€”β€”
Largest down day (60d)+33.3%β€”β€”
Largest down day (90d)+41.2%β€”β€”

Liquidity

5/20 populated
IndicatorValuevs marketvs cohort
Turnover %β€”β€”β€”
On-market %+1.7%
66
70
Days to clear listingsβ€”β€”β€”
Lifetime sales / dayneeds provenance-safe secondary-market lifetime salesβ€”β€”
Liquidity score15
68
74
Listings on book12β€”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 %+88.9%β€”β€”
Near-mid bid imbalanceβ€”β€”β€”
Bid-depth trend (7d)β€”β€”β€”
Bid-floor migration (7d)+66.7%β€”β€”

Supply & ownership

13/21 populated
IndicatorValuevs marketvs cohort
Supply growth (7d)+0.1%β€”β€”
Supply growth (14d)+1.3%β€”β€”
Supply growth (30d)+8.5%
77
73
Supply growth (60d)+28.0%β€”β€”
Supply growth (90d)+48.1%β€”β€”
Owner growth (7d)n/sβ€”β€”β€”
Owner growth (14d)n/sβ€”β€”β€”
Owner growth (30d)n/sβ€”β€”β€”
Owner growth (60d)n/sβ€”β€”β€”
Owner growth (90d)n/sβ€”β€”β€”
Mint rate (7d)0.17β€”β€”
Mint rate (30d)1.93β€”β€”
Supply doubling time255dβ€”β€”
Copies per ownern/s13.73Γ—
78
79
Top-1 holder sharen/s+1.8%
30
33
Top-10 holder sharen/s+5.7%
18
22
HHI (top-10)n/s5.63β€”β€”
Whale count (β‰₯5)n/s3β€”β€”
Absorption (30d)n/sβ€”β€”β€”
Absorption (60d)n/sβ€”β€”β€”
Absorption (90d)n/sβ€”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-13.5%
44
36
Price per scarcity point0.01Γ—β€”β€”
Instant-sell discount+61.5%β€”β€”
Bid-floor backing$0.15β€”β€”
Accumulation score80β€”β€”
Market-relative 7d return+0.1%
51
48
Momentum pillar64
93
92
Scarcity pillar58β€”β€”
Liquidity pillar11β€”β€”
Value pillar52β€”β€”
Risk pillar13β€”β€”
Overall rating41
45
50
Data completeness+81.7%β€”β€”

Relative to market

9/9 populated
IndicatorValuevs marketvs cohort
Beta vs market (14d)0.51Γ—β€”β€”
Beta vs market (30d)0.88Γ—
54
62
Beta vs market (90d)0.45Γ—β€”β€”
Market correlation (14d)0.23Γ—β€”β€”
Market correlation (30d)0.23Γ—β€”β€”
Market correlation (90d)0.13Γ—β€”β€”
Return vs market (14d)-34.2%β€”β€”
Return vs market (30d)+6.5%
76
62
Return vs market (90d)-175.1%β€”β€”

Events

12/15 populated
IndicatorValuevs marketvs cohort
Spike days (30d)3
75
63
Spike days (60d)5β€”β€”
Spike days (90d)8β€”β€”
Dump days (30d)2
75
75
Dump days (60d)5β€”β€”
Dump days (90d)9β€”β€”
Post-spike reversion (30d)+10.3%β€”β€”
Post-spike reversion (60d)+2.4%β€”β€”
Post-spike reversion (90d)+4.1%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)0β€”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.