๐Ÿ•ท๏ธ Spider Shop Historical Analysis

Tarantula Spiderling Pricing & Market Data

๐Ÿ“ฆ Dealer Supply Risk

Analysis highlighting inventory availability patterns and supply risk indicators.

160
Species Analyzed
106
๐Ÿ”ฅ High Risk โ„น๏ธ High risk of lost sales due to supply constraints. Low stock reliability (<40% of runs) or slow restock speed, often with rising demand.
44
โš ๏ธ Moderate Risk โ„น๏ธ Moderate supply concerns. Medium reliability (40-79% of runs) or intermittent restock patterns. Monitor carefully for escalating demand.
10
โŒ Low Risk โ„น๏ธ Healthy supply with high reliability (โ‰ฅ80% of runs). No urgency โ€” these species consistently restock and are well-supplied.
๐Ÿ’ก How to use this page (60 seconds)

What do the risk levels mean?

  • ๐Ÿ”ฅ High Risk โ€“ Frequent stockouts, slow restocks, supply reliability issues
  • โš ๏ธ Moderate Risk โ€“ Occasional stock gaps, monitor for changes
  • โŒ Low Risk (Reliable) โ€“ Consistent availability, dependable supply

How to interpret the data:

  • Hover over the โ„น๏ธ info icon next to any risk rating to see specific drivers (reliability metrics, restock speed, demand pressure)
  • Use filters to identify High Risk species requiring attention or backup suppliers
  • Check Avg OOS Duration and Restock Speed to plan inventory

Full Data Table

๐Ÿงญ How the dealer analysis works

Thresholds, compact decision logic, and a rule trace that explain why a row becomes High Risk, Moderate Risk, or Low Risk.

Dealer reading lens

Start with reliability and restock speed. Wishlist pressure changes urgency inside the supply bands, but healthy supply should not be promoted into a risk state by demand alone.

Reliability first Demand adjusts urgency Healthy supply stays low risk

Supply Reliability Thresholds

Presence % Core dealer rule
  • High: presence percentage >= 0.8: This bucket resolves to โŒ Low Risk on the current dealer page. Strong wishlist interest can change the wording, but it does not change the symbol.
  • Medium: >= 0.4 and < 0.8: This bucket defaults to โš ๏ธ Moderate Risk. It only escalates to ๐Ÿ”ฅ High Risk when wishlist pressure is Hot and delta is rising together.
  • Low: presence percentage < 0.4: Low reliability starts at โš ๏ธ Moderate Risk. Slow restock, Hot wishlist pressure, or rising delta each upgrade it to ๐Ÿ”ฅ High Risk; without those fire triggers it stays โš ๏ธ rather than dropping to โŒ Low Risk.

Restock Speed

Avg OOS duration
  • Slow restock: average OOS duration >= 3: Extended stockouts compound low reliability into the most urgent dealer state.
  • Moderate restock: average OOS duration == 2: Two-run stockouts remain concerning but do not automatically become severe.
  • Fast restock: anything quicker: Fast recovery prevents mild supply gaps from over-escalating.

Escalation Rules

Can escalate Cannot override supply
  • Assign ๐Ÿ”ฅ High Risk: Low reliability + slow restock: This is already enough supply evidence for the urgent dealer bucket.
  • Assign ๐Ÿ”ฅ High Risk: Low reliability + wishlist Hot or delta up: Demand can accelerate a weak-supply row into active sourcing urgency.
  • Assign ๐Ÿ”ฅ High Risk: Medium reliability + wishlist Hot + delta up: Medium supply only escalates fully when both pressure and momentum align.
  • Assign โš ๏ธ Moderate Risk: Low reliability unless a fire trigger applies: Poor supply alone is already a warning state. Without slow restock, Hot wishlist pressure, or rising delta, the row stays โš ๏ธ instead of falling to โŒ.
  • Assign โš ๏ธ Moderate Risk: Medium reliability unless both wishlist Hot and delta up: Medium reliability is the watch-state default. Hot wishlist without rising delta still stays โš ๏ธ.
  • Assign โŒ Low Risk: High reliability, even when wishlist is Hot: Even elevated interest never overrides consistently healthy supply, and any remaining unmatched path also falls back to โŒ.

Time Windows & Caveats

Carryover 5 Current lookback 3 Previous lookback 12
  • OOS carryover lookback: 5 runs: OUT rows can inherit their most recent in-stock wishlist pressure for a bounded period.
  • Current delta lookup window: 3 runs: When a species is OUT now, momentum uses only a short carryover window.
  • Previous comparable lookup window: 12 runs: Older baselines are ignored so momentum is not compared against stale history.
  • Dealer Limited History: This appears only when a species has been observed in at most two runs and earlier runs before first observation are ambiguous.
  • Dealer price pressure: Price pressure is informational only. It appears in the table and Drivers text, but it does not decide the dealer risk classification.
โ„น๏ธ How to read these tables (Legend)

๐Ÿช Dealer Supply Risk Matrix โ€” Legend

Stock Reliability (Historical Supply Pattern)

  • High โ€” Listed in โ‰ฅ80% of all historical runs (typically always available)
  • Medium โ€” Listed in 40-79% of runs (intermittent availability)
  • Low โ€” Listed in <40% of runs (rarely available)
  • Low reliability is never treated as fully healthy supply on the dealer page; without extra fire triggers it still remains a โš ๏ธ warning state rather than โŒ low risk
  • Calculated across entire history, not just recent weeks
  • Example: A species IN stock now but only appeared in 3 of 10 historical weeks = Low reliability
  • When a species is only newly observed late in the dataset, reliability still stays supply-first but recommendation text may flag the conclusion as limited-history / low-confidence

Avg OOS Duration (Supply Volatility Measure)

  • Average number of runs a species stays out of stock per OOS event across all history
  • Calculated by counting all OOS events (disappearances) and averaging their durations
  • Provides context for understanding restock patterns and supply volatility
  • Example: OUT for 4 weeks, IN for 1, OUT for 2 weeks, IN now โ†’ Avg OOS = 3.0 runs
  • Independent of current availability โ€” measures historical behavior
  • Key Difference from Breeder Matrix: Dealer Avg OOS Duration is a historical average (supply reliability indicator), while Breeder OOS Runs counts only the current consecutive OUT period (immediate scarcity signal)

Restock Speed (Supply Confidence)

  • Fast โ€” Typically returns quickly
  • Moderate โ€” Takes several runs
  • Slow โ€” Prolonged absence after sell-out

Price (Value + Trend)

  • Shows current (or last-seen) price plus direction (e.g., ยฃ30.00 โ†‘)
  • โ†‘ โ€” Prices increasing
  • โ†’ โ€” Stable pricing
  • โ†“ โ€” Prices softening
  • Influence: Informational only; does not affect risk classification (supply and demand signals take precedence)

Price History (Trend Visualization)

  • Unicode sparkline showing last 8 weeks of pricing (โ–โ–‚โ–ƒโ–„โ–…โ–†โ–‡โ–ˆ)
  • Each character represents one week (left = oldest, right = most recent)
  • Height indicates relative price within the period
  • When species is OUT of stock, last known price is carried forward (prices persist even when not actively sold)
  • Shows pricing stability or volatility at a glance
  • Example: โ–โ–‚โ–ƒโ–„โ–…โ–†โ–‡โ–ˆ shows steady price increases over 8 weeks

Wishlist (Count ยท Demand Tier ยท Momentum)

  • Shows count tier momentum (e.g., 57 ๐Ÿ”ฅ โ†’) โ€” the raw wishlist count, relative demand tier, and momentum signal
  • Count โ€” raw wishlist count (higher = more buyer interest); table sorts by count descending within each risk group
  • Tier (๐Ÿ”ฅ/โš ๏ธ/โŒ) โ€” relative ranking within the current run; for OUT-of-stock species carries forward from most recent IN-stock run (up to 5 runs back)
  • Momentum (โ†‘/โ†’/โ†“) โ€” meaningful change between observations (ยฑ5 threshold); bounded carryover for OUT species (up to 3 runs back); returns โ†’ when no comparable value found
  • Adds demand urgency beside the supply columns; see the methodology section for the full dealer escalation rules.

Wishlist History (Trend Visualization)

  • Unicode sparkline showing last 8 weeks of wishlist counts (โ–โ–‚โ–ƒโ–„โ–…โ–†โ–‡โ–ˆ)
  • Each character represents one week (left = oldest, right = most recent)
  • Height indicates relative wishlist interest within the period
  • When species is OUT of stock, last known wishlist count is carried forward (interest persists)
  • Shows demand trajectory and momentum at a glance
  • Example: โ–โ–‚โ–„โ–†โ–ˆ shows accelerating interest over 5 weeks

Stock Availability (Supply Pattern Visualization)

  • Binary sparkline showing last 8 weeks of stock status (โ–ˆ = IN, space = OUT)
  • Each position represents one week (left = oldest, right = most recent)
  • โ–ˆ indicates species was IN stock that week
  • Space indicates species was OUT of stock that week
  • Visualizes the Stock Reliability metric and supply patterns at a glance
  • Examples:
  • โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ โ€” Always available (high reliability)
  • โ–ˆ โ–ˆ โ–ˆ โ€” Intermittent supply (medium/low reliability)
  • โ–ˆ โ€” Disappeared from stock (low reliability)

Dealer Risk (Supply Signal)

  • ๐Ÿ”ฅ โ€” High risk of lost sales (supply constrained)
  • โš ๏ธ โ€” Manage carefully
  • โŒ โ€” No urgency; reserved for healthy high-reliability supply

Dealer Recommendation (Final Assessment)

  • Combines Stock Reliability + Restock Speed + Wishlist
  • Final label shown in the table after the row's supply and demand columns are considered together.
  • Low reliability on its own is already enough to keep the row out of โŒ Low Risk; extra fire triggers decide whether it escalates from โš ๏ธ to ๐Ÿ”ฅ
  • See the methodology section above for the detailed dealer decision rules and rule trace.

๐Ÿ“– Practical Examples

๐Ÿ“– Dealer Matrix โ€” Practical Examples

The following examples show how supply patterns and demand signals combine to assess dealer risk. These scenarios help dealers understand which species require urgent attention and which are well-supplied.

Example 1: High Reliability (No Urgency)

Scenario: A species available in 9 out of 10 weeks with stable demand

Analysis Result:

  • Stock Reliability: High (9/10 weeks = 90%)
  • Restock Speed: Fast
  • Wishlist: 5 โŒ โ†’
  • Dealer Risk: โŒ
  • Recommendation: No urgency / oversupplied

Why: When a species is almost always available and demand is stable or low, there's no risk of lost sales. Dealers can wait for favorable pricing or focus on more constrained species.


Example 2: Medium Reliability (Watch and Wait)

Scenario: A species present in 5 out of 10 weeks (50% availability)

Analysis Result:

  • Stock Reliability: Medium
  • Wishlist: 8 โš ๏ธ โ†’
  • Dealer Risk: โš ๏ธ
  • Recommendation: Buy opportunistically

Why: Intermittent availability means supply is somewhat unreliable, but not critically constrained. Dealers should buy when good opportunities arise, but don't need to actively seek stock.


Example 3: Low Reliability + Slow Restock (High Risk)

Scenario: A species rarely available (3 out of 10 weeks), taking 4+ weeks to restock

Analysis Result:

  • Stock Reliability: Low (<40% availability)
  • Avg OOS Duration: 3.5 runs
  • Restock Speed: Slow
  • Dealer Risk: ๐Ÿ”ฅ
  • Recommendation: Actively seek breeders

Why: When a species is rarely available AND takes a long time to restock, dealers face high risk of lost sales. Even without exceptional demand, the supply constraint alone makes this a priority species to source.


Example 4: Low Reliability + High Demand (Critical Risk)

Scenario: A rarely available species with strong buyer interest

Analysis Result:

  • Stock Reliability: Low (1/6 weeks)
  • Wishlist: 50 ๐Ÿ”ฅ โ†’ (carried from last seen)
  • Dealer Risk: ๐Ÿ”ฅ
  • Recommendation: Actively seek breeders โ€” high demand, poor supply

Why: The combination of unreliable supply AND high buyer interest creates maximum risk. Dealers who don't stock this species are losing sales to competitors. This is the highest priority sourcing situation.


Example 5: Medium Reliability + Surging Demand (Escalated Risk)

Scenario: A moderately available species with rapidly increasing wishlist interest

Analysis Result:

  • Stock Reliability: Medium
  • Wishlist: 22 ๐Ÿ”ฅ โ†‘
  • Dealer Risk: ๐Ÿ”ฅ
  • Recommendation: Actively seek breeders โ€” surging demand, variable supply

Why: When demand is rapidly accelerating (wishlist rising significantly) combined with variable supply, this signals an emerging opportunity. Even though reliability is medium, the momentum suggests future supply problems. Dealers should act proactively.


Example 6: High Reliability + Falling Demand (No Action Needed)

Scenario: A consistently available species with declining buyer interest

Analysis Result:

  • Stock Reliability: High
  • Wishlist: 6 โŒ โ†“
  • Dealer Risk: โŒ
  • Recommendation: No urgency / oversupplied

Why: Excellent supply reliability combined with declining interest means the market is well-supplied and demand is softening. Dealers should avoid stocking up and may want to clear existing inventory.


Example 7: Low Reliability + Surging Interest (Early Warning)

Scenario: An unreliable species showing early-stage demand growth

Analysis Result:

  • Stock Reliability: Low
  • Wishlist: 12 โš ๏ธ โ†‘
  • Dealer Risk: ๐Ÿ”ฅ
  • Recommendation: Actively seek breeders โ€” unreliable supply, surging interest

Why: Low reliability species with accelerating interest represent early-stage supply constraints. Even if current wishlist pressure isn't at maximum, the positive momentum combined with poor supply reliability signals dealers should secure stock before competition intensifies.


Example 8: Low Reliability + Stable Demand (Supply Warning)

Scenario: A rarely available species with stable, non-urgent demand and no extra fire trigger

Analysis Result:

  • Stock Reliability: Low
  • Restock Speed: Fast
  • Wishlist: 6 โŒ โ†’
  • Dealer Risk: โš ๏ธ
  • Recommendation: Buy opportunistically โ€” unreliable supply

Why: Low reliability alone is already a dealer warning sign because supply is weak. Without slow restock, Hot wishlist pressure, or rising momentum, the row stays at โš ๏ธ Moderate Risk rather than escalating to ๐Ÿ”ฅ, but it also never drops to fully healthy โŒ Low Risk.