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Back to Sunglasses White

Sunglasses 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: 75%.

Overall rating

?Fresh drop
Insight Engine v2
44/ 100
C†
Momentum61
Scarcity50
Liquidity22
Value60
Risk18

Recomputed each sync: last updated Sep 16, 1:02 AM.

Signal narrative

Slightly bearish
Negative momentum

Price down 3.2% in 24h: a mild downward trend.

Holders are holding !!

Only 3.0% of supply listed: low sell pressure.

Concentrated ownership

~10.9 units per owner; a few holders control much of the supply.

Item drop !!

A random in-game drop (799 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 99% from its 90-day peak: a possible recovery play if demand returns.

Lagging the market !!

16pts behind the median skin this week, underperforming its peers.

Above modelled fair value !!

Trading 33% 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.

Phantom price !!

The listed price sits 76% above the best standing bid of $0.21; you could not actually sell there right now.

Bids accumulating !!

Order-book support has been building (accumulation score 79/100), 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 standout signal for Sunglasses White is a phantom price: the listed price floats 76% above the best standing bid of $0.21, and the model rates the item 30.1% above fair value. Price has slipped 6.9% over 6h and 6.3% over 24h, while the 7d gain of 2.8% trails the market median by 10.0%. The current drawdown ranks in the 95th percentile, which can precede a recovery. However, a liquidity score of 22, a risk score of 18, and 795 units held by only 73 owners make that setup fragile. As a fresh drop still working through the market, it might be worth waiting for asks to move closer to real bids.

AI-generated from live market data Β· updated 10h ago Β· Not financial advice β€” automated analysis for informational purposes only.

Price action

101/113 populated
IndicatorValuevs marketvs cohort
Return (24h)-3.2%β€”β€”
Return (3d)-6.3%β€”β€”
Return (7d)-26.8%
17
17
Return (14d)-26.8%β€”β€”
Return (30d)+25.0%
80
84
Return (60d)+7.1%β€”β€”
Return (90d)-75.4%
33
27
Return (all)-98.5%β€”β€”
Log return (24h)-3.3%β€”β€”
Log return (3d)-6.5%β€”β€”
Log return (7d)-31.2%β€”β€”
Log return (14d)-31.2%β€”β€”
Log return (30d)+22.3%β€”β€”
Log return (60d)+6.9%β€”β€”
Log return (90d)-140.3%β€”β€”
Log return (all)-417.3%β€”β€”
High (24h)β€”β€”β€”
High (3d)$0.32β€”β€”
High (7d)$0.41β€”β€”
High (14d)$0.42β€”β€”
High (30d)$0.42β€”β€”
High (60d)$0.42β€”β€”
High (90d)$28.82β€”β€”
High (all)$28.82β€”β€”
Low (24h)β€”β€”β€”
Low (3d)$0.30β€”β€”
Low (7d)$0.30β€”β€”
Low (14d)$0.30β€”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)$0.31β€”β€”
Mean price (7d)$0.35β€”β€”
Mean price (14d)$0.38β€”β€”
Mean price (30d)$0.31β€”β€”
Mean price (60d)$0.29β€”β€”
Mean price (90d)$0.76β€”β€”
Mean price (all)$1.00β€”β€”
Median price (24h)β€”β€”β€”
Median price (3d)$0.31β€”β€”
Median price (7d)$0.32β€”β€”
Median price (14d)$0.41β€”β€”
Median price (30d)$0.31β€”β€”
Median price (60d)$0.28β€”β€”
Median price (90d)$0.31β€”β€”
Median price (all)$0.31β€”β€”
Range % (24h)β€”β€”β€”
Range % (3d)+6.7%β€”β€”
Range % (7d)+36.7%β€”β€”
Range % (14d)+40.0%β€”β€”
Range % (30d)+100.0%β€”β€”
Range % (60d)+100.0%β€”β€”
Range % (90d)+13623.8%β€”β€”
Range % (all)+13623.8%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)43β€”β€”
Position in range (60d)43β€”β€”
Position in range (90d)0
25
25
Position in range (all)0β€”β€”
Distance from high (24h)β€”β€”β€”
Distance from high (3d)-6.3%β€”β€”
Distance from high (7d)-26.8%β€”β€”
Distance from high (14d)-28.6%β€”β€”
Distance from high (30d)-28.6%β€”β€”
Distance from high (60d)-28.6%β€”β€”
Distance from high (90d)-99.0%
5
5
Distance from high (all)-99.0%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)+42.9%β€”β€”
Distance from low (60d)+42.9%β€”β€”
Distance from low (90d)+42.9%β€”β€”
Distance from low (all)+42.9%β€”β€”
Price vs mean (24h)β€”β€”β€”
Price vs mean (3d)-3.2%β€”β€”
Price vs mean (7d)-14.8%β€”β€”
Price vs mean (14d)-20.8%β€”β€”
Price vs mean (30d)-2.8%β€”β€”
Price vs mean (60d)+4.1%β€”β€”
Price vs mean (90d)-60.8%β€”β€”
Price vs mean (all)-70.0%β€”β€”
Up days (24h)0β€”β€”
Up days (3d)0β€”β€”
Up days (7d)0β€”β€”
Up days (14d)2β€”β€”
Up days (30d)5β€”β€”
Up days (60d)13β€”β€”
Up days (90d)20β€”β€”
Up days (all)20β€”β€”
Down days (24h)0β€”β€”
Down days (3d)1β€”β€”
Down days (7d)2β€”β€”
Down days (14d)4β€”β€”
Down days (30d)7β€”β€”
Down days (60d)18β€”β€”
Down days (90d)35β€”β€”
Down days (all)37β€”β€”
Up-day ratio (24h)β€”β€”β€”
Up-day ratio (3d)0β€”β€”
Up-day ratio (7d)0β€”β€”
Up-day ratio (14d)33β€”β€”
Up-day ratio (30d)42β€”β€”
Up-day ratio (60d)42β€”β€”
Up-day ratio (90d)36β€”β€”
Up-day ratio (all)35β€”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)-3.4%β€”β€”
Trend slope (30d)+2.5%
89
91
Trend slope (60d)+0.7%β€”β€”
Trend slope (90d)-3.9%β€”β€”
Trend slope (all)-4.4%β€”β€”
Trend fit RΒ² (14d)0.69Γ—β€”β€”
Trend fit RΒ² (30d)0.54Γ—β€”β€”
Trend fit RΒ² (60d)0.30Γ—β€”β€”
Trend fit RΒ² (90d)0.05Γ—β€”β€”
Trend fit RΒ² (all)0.09Γ—β€”β€”
SMA 7/30 crossβ€”β€”β€”
Days since trend flip3.0dβ€”β€”

Volatility & risk

32/33 populated
IndicatorValuevs marketvs cohort
Return stdev (7d)+11.7%β€”β€”
Return stdev (14d)+9.2%β€”β€”
Return stdev (30d)+12.0%
50
51
Return stdev (60d)+9.8%β€”β€”
Return stdev (90d)+45.1%β€”β€”
Return stdev (all)+51.2%β€”β€”
Downside deviation (30d)+6.6%β€”β€”
Downside deviation (60d)+5.7%β€”β€”
Downside deviation (90d)+17.6%β€”β€”
Max drawdown (30d)+28.6%β€”β€”
Max drawdown (60d)+34.4%β€”β€”
Max drawdown (90d)+99.3%
95
95
Max drawdown (all)+99.3%β€”β€”
Current drawdown (90d)+99.0%
95
95
Current drawdown (all)+99.0%β€”β€”
Drawdown duration (90d)84dβ€”β€”
Drawdown duration (all)84dβ€”β€”
Sortino ratio (30d)0.26Γ—
75
76
Sortino ratio (90d)1.26Γ—β€”β€”
Return skew (30d)2.21β€”β€”
Return skew (90d)8.97β€”β€”
Excess kurtosis (30d)6.67β€”β€”
Excess kurtosis (90d)80.96β€”β€”
Largest up day (7d)β€”β€”β€”
Largest up day (14d)+7.9%β€”β€”
Largest up day (30d)+47.6%β€”β€”
Largest up day (60d)+47.6%β€”β€”
Largest up day (90d)+2034.8%β€”β€”
Largest down day (7d)+22.0%β€”β€”
Largest down day (14d)+22.0%β€”β€”
Largest down day (30d)+22.0%β€”β€”
Largest down day (60d)+22.0%β€”β€”
Largest down day (90d)+89.4%β€”β€”

Liquidity

5/20 populated
IndicatorValuevs marketvs cohort
Turnover %β€”β€”β€”
On-market %+3.0%
78
78
Days to clear listingsβ€”β€”β€”
Lifetime sales / dayneeds provenance-safe secondary-market lifetime salesβ€”β€”
Liquidity score26
78
78
Listings on book24β€”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 %+35.3%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

19/21 populated
IndicatorValuevs marketvs cohort
Supply growth (7d)+1.1%β€”β€”
Supply growth (14d)+5.3%β€”β€”
Supply growth (30d)+11.8%
78
82
Supply growth (60d)β€”β€”β€”
Supply growth (90d)+381.8%β€”β€”
Owner growth (7d)n/s-2.7%β€”β€”
Owner growth (14d)n/s+1.4%β€”β€”
Owner growth (30d)n/s+5.8%
76
77
Owner growth (60d)n/s+19.7%β€”β€”
Owner growth (90d)n/s+356.3%β€”β€”
Mint rate (7d)1.5β€”β€”
Mint rate (30d)2.9β€”β€”
Supply doubling time186dβ€”β€”
Copies per ownern/s10.95Γ—
47
46
Top-1 holder sharen/s+1.9%
31
29
Top-10 holder sharen/s+7.4%
29
25
HHI (top-10)n/s8.98β€”β€”
Whale count (β‰₯5)n/s4β€”β€”
Absorption (30d)n/s-6.0%
12
9
Absorption (60d)n/sβ€”β€”β€”
Absorption (90d)n/s-25.6%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+32.8%
61
61
Price per scarcity point0.01Γ—β€”β€”
Instant-sell discount+30.0%β€”β€”
Bid-floor backing$0.21β€”β€”
Accumulation score79β€”β€”
Market-relative 7d return-15.6%
17
17
Momentum pillar61
68
68
Scarcity pillar50β€”β€”
Liquidity pillar22β€”β€”
Value pillar60β€”β€”
Risk pillar18β€”β€”
Overall rating43
25
25
Data completeness+75.3%β€”β€”

Relative to market

9/9 populated
IndicatorValuevs marketvs cohort
Beta vs market (14d)-0.50Γ—β€”β€”
Beta vs market (30d)-0.38Γ—
22
21
Beta vs market (90d)10.01Γ—β€”β€”
Market correlation (14d)-0.32Γ—β€”β€”
Market correlation (30d)-0.12Γ—β€”β€”
Market correlation (90d)0.32Γ—β€”β€”
Return vs market (14d)-31.3%β€”β€”
Return vs market (30d)+27.4%
80
84
Return vs market (90d)-39.1%β€”β€”

Events

12/15 populated
IndicatorValuevs marketvs cohort
Spike days (30d)2
75
75
Spike days (60d)4β€”β€”
Spike days (90d)8β€”β€”
Dump days (30d)1
50
50
Dump days (60d)2β€”β€”
Dump days (90d)10β€”β€”
Post-spike reversion (30d)+1.2%β€”β€”
Post-spike reversion (60d)-0.7%β€”β€”
Post-spike reversion (90d)+243.2%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)1β€”β€”
Net spike bias (60d)2β€”β€”
Net spike bias (90d)-2β€”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.