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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 Tactical Trousers

Tactical Trousersfull 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

?
Insight Engine v2
52/ 100
C
Momentum68
Scarcity58
Liquidity48
Value40
Risk41

Recomputed each sync: last updated Sep 28, 12:02 AM.

Signal narrative

Neutral
Low supply !!

166 total supply: a relatively rare item.

Concentrated ownership

~20.8 units per owner; a few holders control much of the supply.

Near all-time low !!

Trading within 5% of its lowest recorded price.

Weekly downtrend !!

Average price down 33% over the past week versus the prior week.

Oversold (RSI) !!

RSI 9: 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 !!

12pts behind the median skin this week, underperforming its peers.

Above modelled fair value !!

Trading 147% over our supply/rarity model's estimate; richly priced versus comparable skins.

Phantom price !!

The listed price sits 292% above the best standing bid of $0.60; you could not actually sell there right now.

Bids accumulating !!

Order-book support has been building (accumulation score 71/100), 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 number here is the gap between the sticker and the real demand: the lowest ask is $2.36 while the best standing bid is $0.60, a 118.9% spread that leaves the listed price 293% above any live buyer and 124.8% above the model's fair value. Supply is thin (162 units, 8 owners, a concentrated-ownership warning) yet 19 active listings put this in the 95th percentile for on-market share. The 7d move of -27.0% and a 5th-percentile 30d return read as oversold rather than broken, but with an overall 52/100 and value at 40/100, the bid side would need to rise before the ask looks defensible.

AI-generated from live market data Β· updated 9h ago Β· Not financial advice β€” automated analysis for informational purposes only.

Price action

101/113 populated
IndicatorValuevs marketvs cohort
Return (24h)-0.4%β€”β€”
Return (3d)-0.4%β€”β€”
Return (7d)-13.9%
24
27
Return (14d)-40.4%β€”β€”
Return (30d)-81.7%
5
5
Return (60d)-98.0%β€”β€”
Return (90d)-98.0%
5
9
Return (all)-98.0%β€”β€”
Log return (24h)-0.4%β€”β€”
Log return (3d)-0.4%β€”β€”
Log return (7d)-15.0%β€”β€”
Log return (14d)-51.8%β€”β€”
Log return (30d)-169.7%β€”β€”
Log return (60d)-389.6%β€”β€”
Log return (90d)-389.6%β€”β€”
Log return (all)-389.6%β€”β€”
High (24h)β€”β€”β€”
High (3d)$2.36β€”β€”
High (7d)$2.73β€”β€”
High (14d)$5.31β€”β€”
High (30d)$12.82β€”β€”
High (60d)$115.64β€”β€”
High (90d)$115.64β€”β€”
High (all)$115.64β€”β€”
Low (24h)β€”β€”β€”
Low (3d)$2.35β€”β€”
Low (7d)$2.35β€”β€”
Low (14d)$2.35β€”β€”
Low (30d)$2.35β€”β€”
Low (60d)$2.35β€”β€”
Low (90d)$2.35β€”β€”
Low (all)$2.35β€”β€”
Mean price (24h)β€”β€”β€”
Mean price (3d)$2.36β€”β€”
Mean price (7d)$2.45β€”β€”
Mean price (14d)$3.51β€”β€”
Mean price (30d)$5.47β€”β€”
Mean price (60d)$23.13β€”β€”
Mean price (90d)$23.13β€”β€”
Mean price (all)$23.13β€”β€”
Median price (24h)β€”β€”β€”
Median price (3d)$2.36β€”β€”
Median price (7d)$2.36β€”β€”
Median price (14d)$3.38β€”β€”
Median price (30d)$4.73β€”β€”
Median price (60d)$6.92β€”β€”
Median price (90d)$6.92β€”β€”
Median price (all)$6.92β€”β€”
Range % (24h)β€”β€”β€”
Range % (3d)+0.4%β€”β€”
Range % (7d)+16.2%β€”β€”
Range % (14d)+126.0%β€”β€”
Range % (30d)+445.5%β€”β€”
Range % (60d)+4820.9%β€”β€”
Range % (90d)+4820.9%β€”β€”
Range % (all)+4820.9%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)0β€”β€”
Position in range (30d)0β€”β€”
Position in range (60d)0β€”β€”
Position in range (90d)0
5
5
Position in range (all)0β€”β€”
Distance from high (24h)β€”β€”β€”
Distance from high (3d)-0.4%β€”β€”
Distance from high (7d)-13.9%β€”β€”
Distance from high (14d)-55.7%β€”β€”
Distance from high (30d)-81.7%β€”β€”
Distance from high (60d)-98.0%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)+0.0%β€”β€”
Distance from low (30d)+0.0%β€”β€”
Distance from low (60d)+0.0%β€”β€”
Distance from low (90d)+0.0%β€”β€”
Distance from low (all)+0.0%β€”β€”
Price vs mean (24h)β€”β€”β€”
Price vs mean (3d)-0.2%β€”β€”
Price vs mean (7d)-4.0%β€”β€”
Price vs mean (14d)-33.0%β€”β€”
Price vs mean (30d)-57.1%β€”β€”
Price vs mean (60d)-89.8%β€”β€”
Price vs mean (90d)-89.8%β€”β€”
Price vs mean (all)-89.8%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)9β€”β€”
Up days (90d)9β€”β€”
Up days (all)9β€”β€”
Down days (24h)0β€”β€”
Down days (3d)1β€”β€”
Down days (7d)2β€”β€”
Down days (14d)7β€”β€”
Down days (30d)17β€”β€”
Down days (60d)24β€”β€”
Down days (90d)24β€”β€”
Down days (all)24β€”β€”
Up-day ratio (24h)β€”β€”β€”
Up-day ratio (3d)0β€”β€”
Up-day ratio (7d)33β€”β€”
Up-day ratio (14d)22β€”β€”
Up-day ratio (30d)19β€”β€”
Up-day ratio (60d)27β€”β€”
Up-day ratio (90d)27β€”β€”
Up-day ratio (all)27β€”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)-9.2%β€”β€”
Trend slope (30d)-6.8%
6
9
Trend slope (60d)-11.2%β€”β€”
Trend slope (90d)-11.2%β€”β€”
Trend slope (all)-11.2%β€”β€”
Trend fit RΒ² (14d)0.77Γ—β€”β€”
Trend fit RΒ² (30d)0.80Γ—β€”β€”
Trend fit RΒ² (60d)0.53Γ—β€”β€”
Trend fit RΒ² (90d)0.53Γ—β€”β€”
Trend fit RΒ² (all)0.53Γ—β€”β€”
SMA 7/30 crossβ€”β€”β€”
Days since trend flip6.0dβ€”β€”

Volatility & risk

33/33 populated
IndicatorValuevs marketvs cohort
Return stdev (7d)+8.7%β€”β€”
Return stdev (14d)+17.3%β€”β€”
Return stdev (30d)+20.1%
75
75
Return stdev (60d)+28.9%β€”β€”
Return stdev (90d)+28.9%β€”β€”
Return stdev (all)+28.9%β€”β€”
Downside deviation (30d)+11.6%β€”β€”
Downside deviation (60d)+17.4%β€”β€”
Downside deviation (90d)+17.4%β€”β€”
Max drawdown (30d)+81.7%β€”β€”
Max drawdown (60d)+98.0%β€”β€”
Max drawdown (90d)+98.0%
92
89
Max drawdown (all)+98.0%β€”β€”
Current drawdown (90d)+98.0%
94
90
Current drawdown (all)+98.0%β€”β€”
Drawdown duration (90d)44dβ€”β€”
Drawdown duration (all)44dβ€”β€”
Sortino ratio (30d)-0.49Γ—
5
5
Sortino ratio (90d)-0.44Γ—β€”β€”
Return skew (30d)0.99β€”β€”
Return skew (90d)0.09β€”β€”
Excess kurtosis (30d)2.29β€”β€”
Excess kurtosis (90d)1.91β€”β€”
Largest up day (7d)+0.4%β€”β€”
Largest up day (14d)+34.6%β€”β€”
Largest up day (30d)+47.2%β€”β€”
Largest up day (60d)+48.2%β€”β€”
Largest up day (90d)+48.2%β€”β€”
Largest down day (7d)+13.9%β€”β€”
Largest down day (14d)+30.2%β€”β€”
Largest down day (30d)+41.7%β€”β€”
Largest down day (60d)+68.7%β€”β€”
Largest down day (90d)+68.7%β€”β€”

Liquidity

5/20 populated
IndicatorValuevs marketvs cohort
Turnover %β€”β€”β€”
On-market %+11.4%
95
95
Days to clear listingsβ€”β€”β€”
Lifetime sales / dayneeds provenance-safe secondary-market lifetime salesβ€”β€”
Liquidity score68
95
95
Listings on book19β€”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 %+118.6%β€”β€”
Near-mid bid imbalanceβ€”β€”β€”
Bid-depth trend (7d)β€”β€”β€”
Bid-floor migration (7d)+103.6%β€”β€”

Supply & ownership

17/21 populated
IndicatorValuevs marketvs cohort
Supply growth (7d)+11.8%β€”β€”
Supply growth (14d)+25.8%β€”β€”
Supply growth (30d)+111.8%
95
95
Supply growth (60d)+3925.0%β€”β€”
Supply growth (90d)+3925.0%β€”β€”
Owner growth (7d)n/s+14.3%β€”β€”
Owner growth (14d)n/s+33.3%β€”β€”
Owner growth (30d)n/s+60.0%
95
95
Owner growth (60d)n/sβ€”β€”β€”
Owner growth (90d)n/sβ€”β€”β€”
Mint rate (7d)2.83β€”β€”
Mint rate (30d)2.93β€”β€”
Supply doubling time28dβ€”β€”
Copies per ownern/s20.75Γ—
95
95
Top-1 holder sharen/s+0.6%
5
5
Top-10 holder sharen/s+4.8%
12
13
HHI (top-10)n/s2.9β€”β€”
Whale count (β‰₯5)n/s0β€”β€”
Absorption (30d)n/s-51.8%
5
5
Absorption (60d)n/sβ€”β€”β€”
Absorption (90d)n/sβ€”β€”β€”

Lifecycle & value

14/18 populated
IndicatorValuevs marketvs cohort
Age55dβ€”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+146.5%
81
86
Price per scarcity point0.04Γ—β€”β€”
Instant-sell discount+74.5%β€”β€”
Bid-floor backing$0.57β€”β€”
Accumulation score71β€”β€”
Market-relative 7d return-11.6%
24
27
Momentum pillar68
91
91
Scarcity pillar58β€”β€”
Liquidity pillar48β€”β€”
Value pillar40β€”β€”
Risk pillar41β€”β€”
Overall rating52
71
69
Data completeness+76.1%β€”β€”

Relative to market

8/9 populated
IndicatorValuevs marketvs cohort
Beta vs market (14d)-2.15Γ—β€”β€”
Beta vs market (30d)-2.09Γ—
5
5
Beta vs market (90d)-1.93Γ—β€”β€”
Market correlation (14d)-0.48Γ—β€”β€”
Market correlation (30d)-0.46Γ—β€”β€”
Market correlation (90d)-0.32Γ—β€”β€”
Return vs market (14d)-35.6%β€”β€”
Return vs market (30d)-89.9%
5
5
Return vs market (90d)β€”β€”β€”

Events

12/15 populated
IndicatorValuevs marketvs cohort
Spike days (30d)3
95
95
Spike days (60d)4β€”β€”
Spike days (90d)4β€”β€”
Dump days (30d)4
95
95
Dump days (60d)8β€”β€”
Dump days (90d)8β€”β€”
Post-spike reversion (30d)+3.2%β€”β€”
Post-spike reversion (60d)+0.0%β€”β€”
Post-spike reversion (90d)+0.0%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)-4β€”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.