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Back to Crash Test Dummy

Crash Test Dummyfull 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

?Fixed supply
Insight Engine v2
35/ 100
D
Momentum56
Scarcity33
Liquidity8
Value38
Risk29

Recomputed each sync: last updated Sep 15, 8:02 PM.

Signal narrative

Slightly bearish
Sharp decline !!!

Price down 12.5% in 24h: significant selling pressure.

Elevated supply

3,168 total supply: already fairly common, limiting the scarcity premium.

Holders are holding !!

Only 1.2% of supply listed: low sell pressure.

Concentrated ownership

~9.1 units per owner; a few holders control much of the supply.

Delisted from store !!

No longer purchasable from the S&box store. Supply is fixed, so there is potential long-term value.

High volatility

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

Deep drawdown

Down 57% from its 90-day peak: a possible recovery play if demand returns.

Above modelled fair value !!

Trading 165% over our supply/rarity model's estimate; richly priced versus comparable skins.

Fixed supply

Supply is fixed; every new owner must buy on the market.

Phantom price !!

The listed price sits 128% above the best standing bid of $4.75; you could not actually sell there right now.

Bids accumulating !!

Order-book support has been building (accumulation score 70/100), 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 most notable feature of Crash Test Dummy is how thin its order book is. A 49.1% bid/ask spread separates the $6.99 lowest ask from a best standing bid of $4.76, and liquidity scores just 8/100. That gap matters because the price also sits 164.8% above the fair-value model, even while trading well under its $10.85 median sale and $15.00 store price. The 12.5% drop over 24h, partly offset by a 6.2% rise over 6h, fits the contrarian read of a possible recovery setup. Fixed supply of 3,168 units after delisting is supportive. Still, with a D grade and a 29/100 safety score, waiting for bids to firm might be a reasonable consideration.

AI-generated from live market data Β· updated 5h ago Β· Not financial advice β€” automated analysis for informational purposes only.

Price action

108/113 populated
IndicatorValuevs marketvs cohort
Return (24h)-12.5%β€”β€”
Return (3d)-12.5%β€”β€”
Return (7d)-19.0%
31
32
Return (14d)-19.6%β€”β€”
Return (30d)-20.2%
49
50
Return (60d)-40.5%β€”β€”
Return (90d)-57.2%
55
50
Return (all)-58.8%β€”β€”
Log return (24h)-13.4%β€”β€”
Log return (3d)-13.4%β€”β€”
Log return (7d)-21.1%β€”β€”
Log return (14d)-21.8%β€”β€”
Log return (30d)-22.6%β€”β€”
Log return (60d)-51.9%β€”β€”
Log return (90d)-84.9%β€”β€”
Log return (all)-88.8%β€”β€”
High (24h)$6.99β€”β€”
High (3d)$7.99β€”β€”
High (7d)$8.63β€”β€”
High (14d)$8.69β€”β€”
High (30d)$8.76β€”β€”
High (60d)$12.02β€”β€”
High (90d)$16.33β€”β€”
High (all)$24.79β€”β€”
Low (24h)$6.99β€”β€”
Low (3d)$6.99β€”β€”
Low (7d)$6.99β€”β€”
Low (14d)$6.39β€”β€”
Low (30d)$6.39β€”β€”
Low (60d)$6.39β€”β€”
Low (90d)$6.39β€”β€”
Low (all)$6.39β€”β€”
Mean price (24h)$6.99β€”β€”
Mean price (3d)$7.66β€”β€”
Mean price (7d)$8.03β€”β€”
Mean price (14d)$7.91β€”β€”
Mean price (30d)$8.19β€”β€”
Mean price (60d)$9.14β€”β€”
Mean price (90d)$10.72β€”β€”
Mean price (all)$12.92β€”β€”
Median price (24h)$6.99β€”β€”
Median price (3d)$7.99β€”β€”
Median price (7d)$7.99β€”β€”
Median price (14d)$7.99β€”β€”
Median price (30d)$8.63β€”β€”
Median price (60d)$8.76β€”β€”
Median price (90d)$10.28β€”β€”
Median price (all)$12.57β€”β€”
Range % (24h)β€”β€”β€”
Range % (3d)+14.3%β€”β€”
Range % (7d)+23.5%β€”β€”
Range % (14d)+36.0%β€”β€”
Range % (30d)+37.1%β€”β€”
Range % (60d)+88.1%β€”β€”
Range % (90d)+155.6%β€”β€”
Range % (all)+287.9%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)26β€”β€”
Position in range (30d)25β€”β€”
Position in range (60d)11β€”β€”
Position in range (90d)6
53
51
Position in range (all)3β€”β€”
Distance from high (24h)+0.0%β€”β€”
Distance from high (3d)-12.5%β€”β€”
Distance from high (7d)-19.0%β€”β€”
Distance from high (14d)-19.6%β€”β€”
Distance from high (30d)-20.2%β€”β€”
Distance from high (60d)-41.8%β€”β€”
Distance from high (90d)-57.2%
66
65
Distance from high (all)-71.8%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)+9.4%β€”β€”
Distance from low (30d)+9.4%β€”β€”
Distance from low (60d)+9.4%β€”β€”
Distance from low (90d)+9.4%β€”β€”
Distance from low (all)+9.4%β€”β€”
Price vs mean (24h)+0.0%β€”β€”
Price vs mean (3d)-8.7%β€”β€”
Price vs mean (7d)-12.9%β€”β€”
Price vs mean (14d)-11.6%β€”β€”
Price vs mean (30d)-14.7%β€”β€”
Price vs mean (60d)-23.5%β€”β€”
Price vs mean (90d)-34.8%β€”β€”
Price vs mean (all)-45.9%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)4β€”β€”
Up days (60d)10β€”β€”
Up days (90d)14β€”β€”
Up days (all)30β€”β€”
Down days (24h)0β€”β€”
Down days (3d)1β€”β€”
Down days (7d)3β€”β€”
Down days (14d)7β€”β€”
Down days (30d)15β€”β€”
Down days (60d)32β€”β€”
Down days (90d)51β€”β€”
Down days (all)73β€”β€”
Up-day ratio (24h)β€”β€”β€”
Up-day ratio (3d)0β€”β€”
Up-day ratio (7d)0β€”β€”
Up-day ratio (14d)13β€”β€”
Up-day ratio (30d)21β€”β€”
Up-day ratio (60d)24β€”β€”
Up-day ratio (90d)22β€”β€”
Up-day ratio (all)29β€”β€”
Up-day streak0.0dβ€”β€”

Trend

15/38 populated
IndicatorValuevs marketvs cohort
SMA (7)$8.03β€”β€”
Price vs SMA (7)-12.9%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)$8.03β€”β€”
Price vs EMA (7)-12.9%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)-0.6%β€”β€”
Trend slope (30d)-0.5%
49
51
Trend slope (60d)-0.8%β€”β€”
Trend slope (90d)-0.9%β€”β€”
Trend slope (all)-0.7%β€”β€”
Trend fit RΒ² (14d)0.07Γ—β€”β€”
Trend fit RΒ² (30d)0.26Γ—β€”β€”
Trend fit RΒ² (60d)0.74Γ—β€”β€”
Trend fit RΒ² (90d)0.91Γ—β€”β€”
Trend fit RΒ² (all)0.72Γ—β€”β€”
SMA 7/30 crossβ€”β€”β€”
Days since trend flip0.0dβ€”β€”

Volatility & risk

32/33 populated
IndicatorValuevs marketvs cohort
Return stdev (7d)+5.7%β€”β€”
Return stdev (14d)+11.3%β€”β€”
Return stdev (30d)+8.6%
33
35
Return stdev (60d)+7.0%β€”β€”
Return stdev (90d)+6.1%β€”β€”
Return stdev (all)+6.7%β€”β€”
Downside deviation (30d)+4.9%β€”β€”
Downside deviation (60d)+4.6%β€”β€”
Downside deviation (90d)+4.0%β€”β€”
Max drawdown (30d)+27.1%β€”β€”
Max drawdown (60d)+46.8%β€”β€”
Max drawdown (90d)+60.9%
27
27
Max drawdown (all)+74.2%β€”β€”
Current drawdown (90d)+57.2%
34
34
Current drawdown (all)+71.8%β€”β€”
Drawdown duration (90d)89dβ€”β€”
Drawdown duration (all)102dβ€”β€”
Sortino ratio (30d)-0.11Γ—
38
39
Sortino ratio (90d)-0.21Γ—β€”β€”
Return skew (30d)2.45β€”β€”
Return skew (90d)2.29β€”β€”
Excess kurtosis (30d)8.98β€”β€”
Excess kurtosis (90d)11.82β€”β€”
Largest up day (7d)β€”β€”β€”
Largest up day (14d)+35.1%β€”β€”
Largest up day (30d)+35.1%β€”β€”
Largest up day (60d)+35.1%β€”β€”
Largest up day (90d)+35.1%β€”β€”
Largest down day (7d)+12.5%β€”β€”
Largest down day (14d)+12.5%β€”β€”
Largest down day (30d)+12.5%β€”β€”
Largest down day (60d)+12.6%β€”β€”
Largest down day (90d)+12.6%β€”β€”

Liquidity

5/20 populated
IndicatorValuevs marketvs cohort
Turnover %β€”β€”β€”
On-market %+1.2%
34
35
Days to clear listingsβ€”β€”β€”
Lifetime sales / dayneeds provenance-safe secondary-market lifetime salesβ€”β€”
Liquidity score11
34
35
Listings on book38β€”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 %+49.1%β€”β€”
Near-mid bid imbalanceβ€”β€”β€”
Bid-depth trend (7d)β€”β€”β€”
Bid-floor migration (7d)-21.1%β€”β€”

Supply & ownership

20/21 populated
IndicatorValuevs marketvs cohort
Supply growth (7d)+0.0%β€”β€”
Supply growth (14d)+0.0%β€”β€”
Supply growth (30d)+0.0%
5
5
Supply growth (60d)+0.0%β€”β€”
Supply growth (90d)+0.0%β€”β€”
Owner growth (7d)-0.3%β€”β€”
Owner growth (14d)-0.3%β€”β€”
Owner growth (30d)+0.3%
50
51
Owner growth (60d)+1.2%β€”β€”
Owner growth (90d)+2.9%β€”β€”
Mint rate (7d)0β€”β€”
Mint rate (30d)0β€”β€”
Supply doubling timeβ€”β€”β€”
Copies per owner9.08Γ—
30
28
Top-1 holder share+1.1%
14
10
Top-10 holder share+6.3%
24
17
HHI (top-10)4.51β€”β€”
Whale count (β‰₯5)10β€”β€”
Absorption (30d)+0.3%
70
75
Absorption (60d)+1.2%β€”β€”
Absorption (90d)+2.9%β€”β€”

Lifecycle & value

16/18 populated
IndicatorValuevs marketvs cohort
Age139dβ€”β€”
Days since fixationβ€”β€”β€”
Days until leaving storen/sβ€”β€”β€”
Release-price multiple0.47Γ—
38
41
Store-price ratio0.47Γ—β€”β€”
Fair-value residual+164.8%
82
81
Price per scarcity point0.21Γ—β€”β€”
Instant-sell discount+32.0%β€”β€”
Bid-floor backing$4.75β€”β€”
Accumulation score70β€”β€”
Market-relative 7d return-7.9%
31
32
Momentum pillar56
71
71
Scarcity pillar33β€”β€”
Liquidity pillar8β€”β€”
Value pillar38β€”β€”
Risk pillar29β€”β€”
Overall rating34
8
5
Data completeness+81.5%β€”β€”

Relative to market

9/9 populated
IndicatorValuevs marketvs cohort
Beta vs market (14d)1.40Γ—β€”β€”
Beta vs market (30d)0.93Γ—
83
82
Beta vs market (90d)0.08Γ—β€”β€”
Market correlation (14d)0.53Γ—β€”β€”
Market correlation (30d)0.43Γ—β€”β€”
Market correlation (90d)0.09Γ—β€”β€”
Return vs market (14d)-22.0%β€”β€”
Return vs market (30d)-17.8%
51
53
Return vs market (90d)-20.2%β€”β€”

Events

12/15 populated
IndicatorValuevs marketvs cohort
Spike days (30d)2
75
75
Spike days (60d)2β€”β€”
Spike days (90d)3β€”β€”
Dump days (30d)0
5
5
Dump days (60d)0β€”β€”
Dump days (90d)0β€”β€”
Post-spike reversion (30d)-0.2%β€”β€”
Post-spike reversion (60d)-0.2%β€”β€”
Post-spike reversion (90d)-2.2%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)2β€”β€”
Net spike bias (60d)2β€”β€”
Net spike bias (90d)3β€”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.