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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 Turtleneck Green

Turtleneck Greenfull 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: 80%.

Overall rating

?Maturing drop
Insight Engine v2
53/ 100
C
Momentum53
Scarcity70
Liquidity18
Value83
Risk32

Recomputed each sync: last updated Oct 14, 4:02 AM.

Signal narrative

Bullish
6-hour surge !!

Up 15.4% in the last 6 hours and accelerating.

Low supply !!

293 total supply: a relatively rare item.

Concentrated ownership

~9.8 units per owner; a few holders control much of the supply.

Item drop !!

A random in-game drop (293 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 93% from its 90-day peak: a possible recovery play if demand returns.

Lagging the market !!

27pts behind the median skin this week, underperforming its peers.

Below modelled fair value !!

Trading 45% under our supply/rarity model's estimate; looks cheap versus comparable skins.

Phantom price !!

The listed price sits 63% above the best standing bid of $0.08; you could not actually sell there right now.

Bid support withdrawing !!

Buy-side depth dropped sharply in the last 48h while the price held; the floor is being pulled before price has caught down to it.

Signals are informational only: not financial advice.

Signal Analysis

Insight Engine

The standout tension here is a 42.7% discount to modelled fair value sitting alongside a 30-day return in the 5th percentile, with price down 10.1% over the week and flat across both the 6h and 24h windows. The drawdown is doing the work, not momentum: owner growth and absorption both rank in the 95th percentile, so the 30 holders of 291 total units have been accumulating into weakness rather than away from it. Liquidity is the constraint at 28/100, and the order book shows it, a 60.9% spread between the $0.08 best bid and the $0.15 ask against an $0.11 median sale. Concentrated ownership and market-wide fear temper the B grade; patient fills near the bid look more defensible than chasing the ask.

AI-generated from live market data Β· updated 13h 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)-25.0%
5
11
Return (14d)-25.0%β€”β€”
Return (30d)-62.5%
5
9
Return (60d)+7.1%β€”β€”
Return (90d)-92.9%
5
10
Return (all)-92.9%β€”β€”
Log return (24h)+0.0%β€”β€”
Log return (3d)+0.0%β€”β€”
Log return (7d)-28.8%β€”β€”
Log return (14d)-28.8%β€”β€”
Log return (30d)-98.1%β€”β€”
Log return (60d)+6.9%β€”β€”
Log return (90d)-264.9%β€”β€”
Log return (all)-264.9%β€”β€”
High (24h)$0.15β€”β€”
High (3d)$0.15β€”β€”
High (7d)$0.20β€”β€”
High (14d)$0.20β€”β€”
High (30d)$0.40β€”β€”
High (60d)$0.87β€”β€”
High (90d)$2.12β€”β€”
High (all)$2.12β€”β€”
Low (24h)$0.15β€”β€”
Low (3d)$0.15β€”β€”
Low (7d)$0.15β€”β€”
Low (14d)$0.15β€”β€”
Low (30d)$0.15β€”β€”
Low (60d)$0.14β€”β€”
Low (90d)$0.14β€”β€”
Low (all)$0.14β€”β€”
Mean price (24h)$0.15β€”β€”
Mean price (3d)$0.15β€”β€”
Mean price (7d)$0.17β€”β€”
Mean price (14d)$0.18β€”β€”
Mean price (30d)$0.25β€”β€”
Mean price (60d)$0.36β€”β€”
Mean price (90d)$0.49β€”β€”
Mean price (all)$0.49β€”β€”
Median price (24h)$0.15β€”β€”
Median price (3d)$0.15β€”β€”
Median price (7d)$0.17β€”β€”
Median price (14d)$0.20β€”β€”
Median price (30d)$0.21β€”β€”
Median price (60d)$0.25β€”β€”
Median price (90d)$0.25β€”β€”
Median price (all)$0.25β€”β€”
Range % (24h)β€”β€”β€”
Range % (3d)+0.0%β€”β€”
Range % (7d)+33.3%β€”β€”
Range % (14d)+33.3%β€”β€”
Range % (30d)+166.7%β€”β€”
Range % (60d)+521.4%β€”β€”
Range % (90d)+1414.3%β€”β€”
Range % (all)+1414.3%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)0β€”β€”
Position in range (60d)1β€”β€”
Position in range (90d)1
11
13
Position in range (all)1β€”β€”
Distance from high (24h)+0.0%β€”β€”
Distance from high (3d)+0.0%β€”β€”
Distance from high (7d)-25.0%β€”β€”
Distance from high (14d)-25.0%β€”β€”
Distance from high (30d)-62.5%β€”β€”
Distance from high (60d)-82.8%β€”β€”
Distance from high (90d)-92.9%
8
13
Distance from high (all)-92.9%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)+0.0%β€”β€”
Distance from low (60d)+7.1%β€”β€”
Distance from low (90d)+7.1%β€”β€”
Distance from low (all)+7.1%β€”β€”
Price vs mean (24h)+0.0%β€”β€”
Price vs mean (3d)+0.0%β€”β€”
Price vs mean (7d)-13.5%β€”β€”
Price vs mean (14d)-17.5%β€”β€”
Price vs mean (30d)-39.0%β€”β€”
Price vs mean (60d)-58.0%β€”β€”
Price vs mean (90d)-69.4%β€”β€”
Price vs mean (all)-69.4%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)10β€”β€”
Up days (90d)14β€”β€”
Up days (all)14β€”β€”
Down days (24h)0β€”β€”
Down days (3d)0β€”β€”
Down days (7d)2β€”β€”
Down days (14d)3β€”β€”
Down days (30d)9β€”β€”
Down days (60d)18β€”β€”
Down days (90d)32β€”β€”
Down days (all)32β€”β€”
Up-day ratio (24h)β€”β€”β€”
Up-day ratio (3d)β€”β€”β€”
Up-day ratio (7d)33β€”β€”
Up-day ratio (14d)40β€”β€”
Up-day ratio (30d)31β€”β€”
Up-day ratio (60d)36β€”β€”
Up-day ratio (90d)30β€”β€”
Up-day ratio (all)30β€”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)-2.8%β€”β€”
Trend slope (30d)-4.2%
9
13
Trend slope (60d)-1.7%β€”β€”
Trend slope (90d)-2.7%β€”β€”
Trend slope (all)-2.7%β€”β€”
Trend fit RΒ² (14d)0.53Γ—β€”β€”
Trend fit RΒ² (30d)0.69Γ—β€”β€”
Trend fit RΒ² (60d)0.12Γ—β€”β€”
Trend fit RΒ² (90d)0.31Γ—β€”β€”
Trend fit RΒ² (all)0.31Γ—β€”β€”
SMA 7/30 crossβ€”β€”β€”
Days since trend flip5.0dβ€”β€”

Volatility & risk

33/33 populated
IndicatorValuevs marketvs cohort
Return stdev (7d)+13.4%β€”β€”
Return stdev (14d)+14.1%β€”β€”
Return stdev (30d)+17.6%
62
59
Return stdev (60d)+41.4%β€”β€”
Return stdev (90d)+39.3%β€”β€”
Return stdev (all)+39.3%β€”β€”
Downside deviation (30d)+10.4%β€”β€”
Downside deviation (60d)+18.6%β€”β€”
Downside deviation (90d)+18.4%β€”β€”
Max drawdown (30d)+62.5%β€”β€”
Max drawdown (60d)+82.8%β€”β€”
Max drawdown (90d)+93.4%
90
86
Max drawdown (all)+93.4%β€”β€”
Current drawdown (90d)+92.9%
91
87
Current drawdown (all)+92.9%β€”β€”
Drawdown duration (90d)83dβ€”β€”
Drawdown duration (all)83dβ€”β€”
Sortino ratio (30d)-0.26Γ—
14
15
Sortino ratio (90d)0.34Γ—β€”β€”
Return skew (30d)0.68β€”β€”
Return skew (90d)5.68β€”β€”
Excess kurtosis (30d)1.09β€”β€”
Excess kurtosis (90d)36.72β€”β€”
Largest up day (7d)+5.3%β€”β€”
Largest up day (14d)+25.0%β€”β€”
Largest up day (30d)+42.9%β€”β€”
Largest up day (60d)+514.3%β€”β€”
Largest up day (90d)+514.3%β€”β€”
Largest down day (7d)+25.0%β€”β€”
Largest down day (14d)+25.0%β€”β€”
Largest down day (30d)+28.9%β€”β€”
Largest down day (60d)+70.9%β€”β€”
Largest down day (90d)+70.9%β€”β€”

Liquidity

7/20 populated
IndicatorValuevs marketvs cohort
Turnover %+0.3%
76
80
On-market %+5.1%
91
91
Days to clear listings15d
61
66
Lifetime sales / dayneeds provenance-safe secondary-market lifetime salesβ€”β€”
Liquidity score26
80
80
Listings on book15β€”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 %+60.9%β€”β€”
Near-mid bid imbalanceβ€”β€”β€”
Bid-depth trend (7d)β€”β€”β€”
Bid-floor migration (7d)-27.3%β€”β€”

Supply & ownership

19/21 populated
IndicatorValuevs marketvs cohort
Supply growth (7d)+4.3%β€”β€”
Supply growth (14d)+16.0%β€”β€”
Supply growth (30d)+33.6%
92
89
Supply growth (60d)+102.8%β€”β€”
Supply growth (90d)+2130.8%β€”β€”
Owner growth (7d)+0.0%β€”β€”
Owner growth (14d)+20.0%β€”β€”
Owner growth (30d)+66.7%
95
95
Owner growth (60d)+114.3%β€”β€”
Owner growth (90d)β€”β€”β€”
Mint rate (7d)2β€”β€”
Mint rate (30d)2.52β€”β€”
Supply doubling time72dβ€”β€”
Copies per owner9.77Γ—
38
35
Top-1 holder share+1.4%
21
25
Top-10 holder share+4.8%
12
13
HHI (top-10)3.26β€”β€”
Whale count (β‰₯5)0β€”β€”
Absorption (30d)+33.0%
95
95
Absorption (60d)+11.5%β€”β€”
Absorption (90d)β€”β€”β€”

Lifecycle & value

14/18 populated
IndicatorValuevs marketvs cohort
Age91dβ€”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-44.9%
30
27
Price per scarcity point0.00Γ—β€”β€”
Instant-sell discount+46.7%β€”β€”
Bid-floor backing$0.08β€”β€”
Accumulation score14β€”β€”
Market-relative 7d return-27.1%
5
11
Momentum pillar53
65
72
Scarcity pillar70β€”β€”
Liquidity pillar18β€”β€”
Value pillar83β€”β€”
Risk pillar32β€”β€”
Overall rating58
89
85
Data completeness+79.9%β€”β€”

Relative to market

9/9 populated
IndicatorValuevs marketvs cohort
Beta vs market (14d)-0.57Γ—β€”β€”
Beta vs market (30d)-0.19Γ—
10
16
Beta vs market (90d)1.27Γ—β€”β€”
Market correlation (14d)-0.35Γ—β€”β€”
Market correlation (30d)-0.07Γ—β€”β€”
Market correlation (90d)0.10Γ—β€”β€”
Return vs market (14d)-57.0%β€”β€”
Return vs market (30d)-83.7%
5
10
Return vs market (90d)-123.6%β€”β€”

Events

12/15 populated
IndicatorValuevs marketvs cohort
Spike days (30d)3
75
75
Spike days (60d)7β€”β€”
Spike days (90d)10β€”β€”
Dump days (30d)6
95
95
Dump days (60d)9β€”β€”
Dump days (90d)16β€”β€”
Post-spike reversion (30d)-1.7%β€”β€”
Post-spike reversion (60d)+24.6%β€”β€”
Post-spike reversion (90d)+13.4%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)-2β€”β€”
Net spike bias (90d)-6β€”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.