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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 Suit Jacket Blue

Suit Jacket Bluefull 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: 76%.

Overall rating

?Fresh drop
Insight Engine v2
55/ 100
B†
Momentum64
Scarcity54
Liquidity20
Value94
Risk20

Recomputed each sync: last updated Sep 19, 2:02 AM.

Signal narrative

Bullish
Holders are holding !!

Only 1.9% of supply listed: low sell pressure.

Concentrated ownership

~12.3 units per owner; a few holders control much of the supply.

Item drop !!

A random in-game drop (860 dropped). It was never sold in the store, so supply is capped by the drop rate.

Oversold (RSI) !!

RSI 27: beaten down and due for a potential bounce.

High volatility

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

Deep drawdown

Down 99% from its 90-day peak: a possible recovery play if demand returns.

Lagging the market !!

14pts behind the median skin this week, underperforming its peers.

Below modelled fair value !!

Trading 80% 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 53% above the best standing bid of $0.15; 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 number is the gap to fair value: at a $0.20 ask this sits 80.9% below the model, which drives a value score of 94 out of 100. The support for that discount is weak, however. Price is down 7.2% over 7d and 13.5% behind the market median, placing it in the 5th percentile for both 90d return and distance from high, with max drawdown in the 95th percentile. The order book is thin and skewed: a 28.6% spread, a best bid of $0.15 against that $0.20 listing, and 30 active sell listings versus 70 owners of 856 units. With liquidity at 29 and safety at 23, the discount reads as a phantom-price and fresh-drop artifact as much as an opportunity.

AI-generated from live market data Β· updated 11h ago Β· Not financial advice β€” automated analysis for informational purposes only.

Price action

101/113 populated
IndicatorValuevs marketvs cohort
Return (24h)+0.0%β€”β€”
Return (3d)-4.8%β€”β€”
Return (7d)-20.0%
25
43
Return (14d)-24.5%β€”β€”
Return (30d)-4.8%
68
56
Return (60d)-44.4%β€”β€”
Return (90d)-99.1%
5
5
Return (all)-99.1%β€”β€”
Log return (24h)+0.0%β€”β€”
Log return (3d)-4.9%β€”β€”
Log return (7d)-22.3%β€”β€”
Log return (14d)-28.1%β€”β€”
Log return (30d)-4.9%β€”β€”
Log return (60d)-58.8%β€”β€”
Log return (90d)-471.0%β€”β€”
Log return (all)-471.0%β€”β€”
High (24h)β€”β€”β€”
High (3d)$0.21β€”β€”
High (7d)$0.25β€”β€”
High (14d)$0.33β€”β€”
High (30d)$0.33β€”β€”
High (60d)$0.36β€”β€”
High (90d)$22.22β€”β€”
High (all)$22.22β€”β€”
Low (24h)β€”β€”β€”
Low (3d)$0.20β€”β€”
Low (7d)$0.20β€”β€”
Low (14d)$0.20β€”β€”
Low (30d)$0.18β€”β€”
Low (60d)$0.15β€”β€”
Low (90d)$0.15β€”β€”
Low (all)$0.15β€”β€”
Mean price (24h)β€”β€”β€”
Mean price (3d)$0.21β€”β€”
Mean price (7d)$0.23β€”β€”
Mean price (14d)$0.25β€”β€”
Mean price (30d)$0.23β€”β€”
Mean price (60d)$0.26β€”β€”
Mean price (90d)$0.62β€”β€”
Mean price (all)$0.62β€”β€”
Median price (24h)β€”β€”β€”
Median price (3d)$0.21β€”β€”
Median price (7d)$0.25β€”β€”
Median price (14d)$0.25β€”β€”
Median price (30d)$0.23β€”β€”
Median price (60d)$0.25β€”β€”
Median price (90d)$0.27β€”β€”
Median price (all)$0.27β€”β€”
Range % (24h)β€”β€”β€”
Range % (3d)+5.0%β€”β€”
Range % (7d)+25.0%β€”β€”
Range % (14d)+65.0%β€”β€”
Range % (30d)+83.3%β€”β€”
Range % (60d)+140.0%β€”β€”
Range % (90d)+14713.3%β€”β€”
Range % (all)+14713.3%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)0β€”β€”
Position in range (30d)13β€”β€”
Position in range (60d)24β€”β€”
Position in range (90d)0
24
25
Position in range (all)0β€”β€”
Distance from high (24h)β€”β€”β€”
Distance from high (3d)-4.8%β€”β€”
Distance from high (7d)-20.0%β€”β€”
Distance from high (14d)-39.4%β€”β€”
Distance from high (30d)-39.4%β€”β€”
Distance from high (60d)-44.4%β€”β€”
Distance from high (90d)-99.1%
5
5
Distance from high (all)-99.1%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)+11.1%β€”β€”
Distance from low (60d)+33.3%β€”β€”
Distance from low (90d)+33.3%β€”β€”
Distance from low (all)+33.3%β€”β€”
Price vs mean (24h)β€”β€”β€”
Price vs mean (3d)-2.4%β€”β€”
Price vs mean (7d)-14.6%β€”β€”
Price vs mean (14d)-20.0%β€”β€”
Price vs mean (30d)-13.2%β€”β€”
Price vs mean (60d)-21.7%β€”β€”
Price vs mean (90d)-67.8%β€”β€”
Price vs mean (all)-67.8%β€”β€”
Up days (24h)0β€”β€”
Up days (3d)0β€”β€”
Up days (7d)1β€”β€”
Up days (14d)3β€”β€”
Up days (30d)5β€”β€”
Up days (60d)10β€”β€”
Up days (90d)18β€”β€”
Up days (all)18β€”β€”
Down days (24h)0β€”β€”
Down days (3d)1β€”β€”
Down days (7d)3β€”β€”
Down days (14d)7β€”β€”
Down days (30d)10β€”β€”
Down days (60d)20β€”β€”
Down days (90d)36β€”β€”
Down days (all)36β€”β€”
Up-day ratio (24h)β€”β€”β€”
Up-day ratio (3d)0β€”β€”
Up-day ratio (7d)25β€”β€”
Up-day ratio (14d)30β€”β€”
Up-day ratio (30d)33β€”β€”
Up-day ratio (60d)33β€”β€”
Up-day ratio (90d)33β€”β€”
Up-day ratio (all)33β€”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)-2.3%β€”β€”
Trend slope (30d)+0.9%
78
67
Trend slope (60d)-0.8%β€”β€”
Trend slope (90d)-4.4%β€”β€”
Trend slope (all)-4.4%β€”β€”
Trend fit RΒ² (14d)0.42Γ—β€”β€”
Trend fit RΒ² (30d)0.19Γ—β€”β€”
Trend fit RΒ² (60d)0.30Γ—β€”β€”
Trend fit RΒ² (90d)0.06Γ—β€”β€”
Trend fit RΒ² (all)0.06Γ—β€”β€”
SMA 7/30 crossβ€”β€”β€”
Days since trend flip1.0dβ€”β€”

Volatility & risk

33/33 populated
IndicatorValuevs marketvs cohort
Return stdev (7d)+7.7%β€”β€”
Return stdev (14d)+13.9%β€”β€”
Return stdev (30d)+14.8%
59
45
Return stdev (60d)+14.9%β€”β€”
Return stdev (90d)+29.5%β€”β€”
Return stdev (all)+29.5%β€”β€”
Downside deviation (30d)+8.2%β€”β€”
Downside deviation (60d)+8.5%β€”β€”
Downside deviation (90d)+16.8%β€”β€”
Max drawdown (30d)+39.4%β€”β€”
Max drawdown (60d)+58.3%β€”β€”
Max drawdown (90d)+99.3%
95
95
Max drawdown (all)+99.3%β€”β€”
Current drawdown (90d)+99.1%
95
95
Current drawdown (all)+99.1%β€”β€”
Drawdown duration (90d)86dβ€”β€”
Drawdown duration (all)86dβ€”β€”
Sortino ratio (30d)0.11Γ—
64
46
Sortino ratio (90d)-0.17Γ—β€”β€”
Return skew (30d)1.87β€”β€”
Return skew (90d)-0.05β€”β€”
Excess kurtosis (30d)5.55β€”β€”
Excess kurtosis (90d)4.17β€”β€”
Largest up day (7d)+2.0%β€”β€”
Largest up day (14d)+32.0%β€”β€”
Largest up day (30d)+55.6%β€”β€”
Largest up day (60d)+55.6%β€”β€”
Largest up day (90d)+61.1%β€”β€”
Largest down day (7d)+16.0%β€”β€”
Largest down day (14d)+24.2%β€”β€”
Largest down day (30d)+24.2%β€”β€”
Largest down day (60d)+31.8%β€”β€”
Largest down day (90d)+87.0%β€”β€”

Liquidity

6/20 populated
IndicatorValuevs marketvs cohort
Turnover %β€”β€”β€”
On-market %+1.9%
54
56
Days to clear listingsβ€”β€”β€”
Lifetime sales / dayneeds provenance-safe secondary-market lifetime salesβ€”β€”
Liquidity score17
55
56
Listings on book16β€”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 %+28.6%β€”β€”
Near-mid bid imbalanceβ€”β€”β€”
Bid-depth trend (7d)-100.0%β€”β€”
Bid-floor migration (7d)-34.8%β€”β€”

Supply & ownership

21/21 populated
IndicatorValuevs marketvs cohort
Supply growth (7d)+2.4%β€”β€”
Supply growth (14d)+6.5%β€”β€”
Supply growth (30d)+12.5%
78
81
Supply growth (60d)+39.7%β€”β€”
Supply growth (90d)+706.6%β€”β€”
Owner growth (7d)n/s+4.5%β€”β€”
Owner growth (14d)n/s+6.1%β€”β€”
Owner growth (30d)n/s+11.1%
79
79
Owner growth (60d)n/s+27.3%β€”β€”
Owner growth (90d)n/s+1650.0%β€”β€”
Mint rate (7d)3.33β€”β€”
Mint rate (30d)3.28β€”β€”
Supply doubling time177dβ€”β€”
Copies per ownern/s12.29Γ—
63
65
Top-1 holder sharen/s+0.9%
10
19
Top-10 holder sharen/s+4.2%
7
23
HHI (top-10)n/s2.22β€”β€”
Whale count (β‰₯5)n/s2β€”β€”
Absorption (30d)n/s-1.4%
25
39
Absorption (60d)n/s-12.4%β€”β€”
Absorption (90d)n/s+943.4%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-79.6%
9
5
Price per scarcity point0.00Γ—β€”β€”
Instant-sell discount+25.0%β€”β€”
Bid-floor backing$0.15β€”β€”
Accumulation score21β€”β€”
Market-relative 7d return-14.2%
25
43
Momentum pillar64
70
51
Scarcity pillar54β€”β€”
Liquidity pillar20β€”β€”
Value pillar94β€”β€”
Risk pillar20β€”β€”
Overall rating60
81
88
Data completeness+76.5%β€”β€”

Relative to market

9/9 populated
IndicatorValuevs marketvs cohort
Beta vs market (14d)0.69Γ—β€”β€”
Beta vs market (30d)1.03Γ—
81
82
Beta vs market (90d)0.95Γ—β€”β€”
Market correlation (14d)0.27Γ—β€”β€”
Market correlation (30d)0.29Γ—β€”β€”
Market correlation (90d)0.27Γ—β€”β€”
Return vs market (14d)-28.8%β€”β€”
Return vs market (30d)-5.8%
73
58
Return vs market (90d)-60.1%β€”β€”

Events

12/15 populated
IndicatorValuevs marketvs cohort
Spike days (30d)2
75
50
Spike days (60d)5β€”β€”
Spike days (90d)7β€”β€”
Dump days (30d)3
75
95
Dump days (60d)6β€”β€”
Dump days (90d)15β€”β€”
Post-spike reversion (30d)-14.8%β€”β€”
Post-spike reversion (60d)-10.9%β€”β€”
Post-spike reversion (90d)-12.3%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)-8β€”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.