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Back to Puffer Gilet Red

Puffer Gilet Redfull 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
47/ 100
C†
Momentum51
Scarcity57
Liquidity25
Value78
Risk18

Recomputed each sync: last updated Oct 5, 6:02 AM.

Signal narrative

Bullish
6-hour dip !!

Down 61.0% in the last 6 hours: near-term weakness.

Early supply reading

392 units so far, but the drop is still active β€” today's count understates final supply.

Holders are holding !!

Only 4.3% of supply listed: low sell pressure.

Concentrated ownership

~11.9 units per owner; a few holders control much of the supply.

Item drop !!

A random in-game drop (392 dropped). It was never sold in the store, so supply is capped by the drop rate.

Oversold (RSI) !!

RSI 29: 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 98% from its 90-day peak: a possible recovery play if demand returns.

Lagging the market !!

13pts behind the median skin this week, underperforming its peers.

Below modelled fair value !!

Trading 28% 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 163% above the best standing bid of $0.08; you could not actually sell there right now.

Signals are informational only: not financial advice.

Signal Analysis

Insight Engine

The headline here is a 61.0% drop over six hours against a flat 24h reading, which places this item in the 95th percentile for both spike days and dump days over 30 days. The order book explains much of that noise: the best standing bid is $0.08 against a $0.21 ask, an 89.7% spread, with the listing floating 163% above real demand. Fair-value modelling puts the price 29.5% cheap and the value score at 79/100, but liquidity scores 24/100 and risk 17/100, with 33 owners holding 391 units across 16 listings. Given the phantom price and 5th-percentile 90d return, the cheapness may be a function of thin bids rather than a mispricing worth acting on quickly.

AI-generated from live market data Β· updated 15h ago Β· Not financial advice β€” automated analysis for informational purposes only.

Price action

99/113 populated
IndicatorValuevs marketvs cohort
Return (24h)+0.0%β€”β€”
Return (3d)+0.0%β€”β€”
Return (7d)-12.5%
16
20
Return (14d)-16.0%β€”β€”
Return (30d)-12.5%
53
55
Return (60d)+0.0%β€”β€”
Return (90d)-98.0%
5
9
Return (all)-98.0%β€”β€”
Log return (24h)+0.0%β€”β€”
Log return (3d)+0.0%β€”β€”
Log return (7d)-13.4%β€”β€”
Log return (14d)-17.4%β€”β€”
Log return (30d)-13.4%β€”β€”
Log return (60d)+0.0%β€”β€”
Log return (90d)-391.5%β€”β€”
Log return (all)-391.5%β€”β€”
High (24h)β€”β€”β€”
High (3d)$0.21β€”β€”
High (7d)$0.24β€”β€”
High (14d)$0.25β€”β€”
High (30d)$0.34β€”β€”
High (60d)$0.34β€”β€”
High (90d)$10.54β€”β€”
High (all)$10.54β€”β€”
Low (24h)β€”β€”β€”
Low (3d)$0.21β€”β€”
Low (7d)$0.21β€”β€”
Low (14d)$0.20β€”β€”
Low (30d)$0.18β€”β€”
Low (60d)$0.14β€”β€”
Low (90d)$0.14β€”β€”
Low (all)$0.14β€”β€”
Mean price (24h)β€”β€”β€”
Mean price (3d)$0.21β€”β€”
Mean price (7d)$0.22β€”β€”
Mean price (14d)$0.22β€”β€”
Mean price (30d)$0.24β€”β€”
Mean price (60d)$0.22β€”β€”
Mean price (90d)$0.47β€”β€”
Mean price (all)$0.47β€”β€”
Median price (24h)β€”β€”β€”
Median price (3d)$0.21β€”β€”
Median price (7d)$0.21β€”β€”
Median price (14d)$0.21β€”β€”
Median price (30d)$0.24β€”β€”
Median price (60d)$0.21β€”β€”
Median price (90d)$0.24β€”β€”
Median price (all)$0.24β€”β€”
Range % (24h)β€”β€”β€”
Range % (3d)+0.0%β€”β€”
Range % (7d)+14.3%β€”β€”
Range % (14d)+25.0%β€”β€”
Range % (30d)+88.9%β€”β€”
Range % (60d)+142.9%β€”β€”
Range % (90d)+7425.0%β€”β€”
Range % (all)+7425.0%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)β€”β€”β€”
Position in range (30d)19β€”β€”
Position in range (60d)35β€”β€”
Position in range (90d)1
19
26
Position in range (all)1β€”β€”
Distance from high (24h)β€”β€”β€”
Distance from high (3d)+0.0%β€”β€”
Distance from high (7d)-12.5%β€”β€”
Distance from high (14d)-16.0%β€”β€”
Distance from high (30d)-38.2%β€”β€”
Distance from high (60d)-38.2%β€”β€”
Distance from high (90d)-98.0%
6
10
Distance from high (all)-98.0%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)+5.0%β€”β€”
Distance from low (30d)+16.7%β€”β€”
Distance from low (60d)+50.0%β€”β€”
Distance from low (90d)+50.0%β€”β€”
Distance from low (all)+50.0%β€”β€”
Price vs mean (24h)β€”β€”β€”
Price vs mean (3d)+0.0%β€”β€”
Price vs mean (7d)-2.8%β€”β€”
Price vs mean (14d)-6.4%β€”β€”
Price vs mean (30d)-13.5%β€”β€”
Price vs mean (60d)-2.7%β€”β€”
Price vs mean (90d)-55.0%β€”β€”
Price vs mean (all)-55.0%β€”β€”
Up days (24h)0β€”β€”
Up days (3d)0β€”β€”
Up days (7d)0β€”β€”
Up days (14d)1β€”β€”
Up days (30d)3β€”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)1β€”β€”
Down days (14d)3β€”β€”
Down days (30d)8β€”β€”
Down days (60d)13β€”β€”
Down days (90d)26β€”β€”
Down days (all)26β€”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)25β€”β€”
Up-day ratio (30d)27β€”β€”
Up-day ratio (60d)43β€”β€”
Up-day ratio (90d)35β€”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)-1.8%β€”β€”
Trend slope (30d)-0.9%
54
49
Trend slope (60d)+0.7%β€”β€”
Trend slope (90d)-4.2%β€”β€”
Trend slope (all)-4.2%β€”β€”
Trend fit RΒ² (14d)0.30Γ—β€”β€”
Trend fit RΒ² (30d)0.10Γ—β€”β€”
Trend fit RΒ² (60d)0.25Γ—β€”β€”
Trend fit RΒ² (90d)0.09Γ—β€”β€”
Trend fit RΒ² (all)0.09Γ—β€”β€”
SMA 7/30 crossβ€”β€”β€”
Days since trend flip14dβ€”β€”

Volatility & risk

32/33 populated
IndicatorValuevs marketvs cohort
Return stdev (7d)+6.7%β€”β€”
Return stdev (14d)+12.8%β€”β€”
Return stdev (30d)+26.9%
85
84
Return stdev (60d)+19.3%β€”β€”
Return stdev (90d)+32.9%β€”β€”
Return stdev (all)+32.9%β€”β€”
Downside deviation (30d)+14.7%β€”β€”
Downside deviation (60d)+12.4%β€”β€”
Downside deviation (90d)+18.2%β€”β€”
Max drawdown (30d)+47.1%β€”β€”
Max drawdown (60d)+47.1%β€”β€”
Max drawdown (90d)+98.7%
95
92
Max drawdown (all)+98.7%β€”β€”
Current drawdown (90d)+98.0%
94
90
Current drawdown (all)+98.0%β€”β€”
Drawdown duration (90d)81dβ€”β€”
Drawdown duration (all)81dβ€”β€”
Sortino ratio (30d)0.20Γ—
75
75
Sortino ratio (90d)-0.11Γ—β€”β€”
Return skew (30d)1.78β€”β€”
Return skew (90d)0.59β€”β€”
Excess kurtosis (30d)3.9β€”β€”
Excess kurtosis (90d)6.68β€”β€”
Largest up day (7d)β€”β€”β€”
Largest up day (14d)+25.0%β€”β€”
Largest up day (30d)+88.9%β€”β€”
Largest up day (60d)+88.9%β€”β€”
Largest up day (90d)+88.9%β€”β€”
Largest down day (7d)+12.5%β€”β€”
Largest down day (14d)+20.0%β€”β€”
Largest down day (30d)+47.1%β€”β€”
Largest down day (60d)+47.1%β€”β€”
Largest down day (90d)+88.6%β€”β€”

Liquidity

5/20 populated
IndicatorValuevs marketvs cohort
Turnover %β€”β€”β€”
On-market %+4.3%
85
83
Days to clear listingsβ€”β€”β€”
Lifetime sales / dayneeds provenance-safe secondary-market lifetime salesβ€”β€”
Liquidity score35
85
84
Listings on book17β€”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 %+85.7%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)+8.0%β€”β€”
Supply growth (14d)+13.0%β€”β€”
Supply growth (30d)+33.4%
91
90
Supply growth (60d)+81.9%β€”β€”
Supply growth (90d)+5485.7%β€”β€”
Owner growth (7d)n/s+10.0%β€”β€”
Owner growth (14d)n/s+3.1%β€”β€”
Owner growth (30d)n/s+17.9%
90
90
Owner growth (60d)n/s+73.7%β€”β€”
Owner growth (90d)n/sβ€”β€”β€”
Mint rate (7d)4.83β€”β€”
Mint rate (30d)3.38β€”β€”
Supply doubling time72dβ€”β€”
Copies per ownern/s11.88Γ—
54
55
Top-1 holder sharen/s+0.8%
8
11
Top-10 holder sharen/s+4.6%
12
12
HHI (top-10)n/s2.6β€”β€”
Whale count (β‰₯5)n/s0β€”β€”
Absorption (30d)n/s-15.6%
8
9
Absorption (60d)n/s-8.2%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-28.3%
36
34
Price per scarcity point0.00Γ—β€”β€”
Instant-sell discount+61.9%β€”β€”
Bid-floor backing$0.08β€”β€”
Accumulation score50β€”β€”
Market-relative 7d return-12.5%
16
20
Momentum pillar51
50
50
Scarcity pillar57β€”β€”
Liquidity pillar25β€”β€”
Value pillar78β€”β€”
Risk pillar18β€”β€”
Overall rating52
74
67
Data completeness+74.9%β€”β€”

Relative to market

9/9 populated
IndicatorValuevs marketvs cohort
Beta vs market (14d)1.11Γ—β€”β€”
Beta vs market (30d)-0.09Γ—
26
33
Beta vs market (90d)-0.50Γ—β€”β€”
Market correlation (14d)0.29Γ—β€”β€”
Market correlation (30d)-0.01Γ—β€”β€”
Market correlation (90d)-0.13Γ—β€”β€”
Return vs market (14d)-7.8%β€”β€”
Return vs market (30d)-8.4%
53
54
Return vs market (90d)-78.4%β€”β€”

Events

12/15 populated
IndicatorValuevs marketvs cohort
Spike days (30d)3
95
95
Spike days (60d)6β€”β€”
Spike days (90d)9β€”β€”
Dump days (30d)4
93
90
Dump days (60d)6β€”β€”
Dump days (90d)13β€”β€”
Post-spike reversion (30d)-22.2%β€”β€”
Post-spike reversion (60d)-9.2%β€”β€”
Post-spike reversion (90d)-12.5%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)-4β€”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.