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Daily activity, last 365 days
LessMore
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Top 10 Most Valuable Cards
No valued cards yet. Run a scrape to populate values.
Hot Movers
Top Gainers
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Top Losers
No losers in this window.
Add card from PriceCharting / SportsCardsPro
Paste a /offer/<id> URL from your PC or SCP collection page.
Use this for cards graded by services not on Collectors (TAG, BGS, CGC, etc.).
We'll pull the card name, grade, value, "If Graded" tiles, and recent sales in one shot.
Card
Grade
Estimate
Trend
My Cost
Gain/Loss
24h Change
Velocity
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Card
Grade
Removed
Reason
My Cost
Sold For / Last Known
Realized Gain
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Allocation Breakdown
Every active card in your collection that has a current value. Cards without a cost basis are included.
Bucket
Cards
Value
% of Total
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P&L Deep Dive
Paper Gains on cards you still own. Value = current CL / PSA / PC estimate.
Overall ROI
--
--
Winners / Losers
--
of -- priced cards
Best Source ROI
--
--
By Source (Where You Find the Deals)
Among cards with a recorded cost basis only — ROI math needs both buy and sell prices. The Allocation Breakdown above includes all cards.
Source
Cards
Total Cost
Total Value
Gain / Loss
ROI
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Per-Card Unrealized ROI
Card
Source
Cost
Value
Gain / Loss
ROI
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Sold Cards
0
with sale price entered
Realized Gain
--
--
Realized ROI
--
across sold cards
Total Proceeds
--
sum of sale prices
By Platform (Where You Sold)
Platform
Cards
Total Cost
Proceeds
Realized Gain
ROI
By Source (Which Acquisition Channels Paid Off)
Source
Cards
Total Cost
Proceeds
Realized Gain
ROI
No sold cards yet
Per-Card Realized ROI
Card
Source
Platform
Sale Date
Cost
Sold For
Realized Gain
ROI
No sold cards yet. Categorize a removed card with reason "Sold" and enter a sale price to see it here.
Grading ROI
For each PSA 8/9 card OR raw card with PC "If Graded" tile data, projected value at PSA 10 minus grading fee.
Grading outcome not guaranteed — PSA may grade lower than the target. The Target-Share column hints at how often this card tends to come back at the target, but it's a proxy, not a prediction. Already-graded cards more than 2 grades below the target are excluded — they have no realistic path. Raw (Ungraded) cards always included.
Regrade candidates
Card
Grade
Current Value
PSA 10 Tile
Net Uplift
ROI on Fee
Target-Share
Total Pop
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Sell Advisor
Recommended list price = median of recent comparable sales (last 90 days). Profit = sale median × (1 − fee %) − cost.
Trend compares last 30 days vs prior 30-90 days. Sales count and last-sold date hint at liquidity — a card with 1 sale 80 days ago is shakier than one with 12 sales last week.
Sell candidates
Card
Grade
Cost
Sale Median
Profit
Trend
Sales
Last Sold
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Population Census
For each card in your collection with PSA pop data, see how many exist at a given grade. Pick a grade to see all cards' pop at that tier (lets you answer "of my whole collection, which would be rarest if it were a PSA 10?"). Pick Own Grade to show each card's pop at the grade it's already at, grouped by tier descending.
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Card
Grade
Pop at PSA 10
Total Pop
Value
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Pop data refreshes on every Full scrape via PSA's pop report. Some cards may show 0 at their own grade if PSA's pop hasn't been updated since the card was graded.
Portfolio Risk
Volatility, drawdown, and return for the whole collection and per card. Advisory heuristics — values are daily scrape snapshots (illiquid, and flat between repricings), so read volatility as a relative signal, not finance-grade risk.
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Per-Card Risk
Card
Grade
Volatility
Max Drawdown
Period Return
Value
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Needs ≥6 dated value points per card; thinner-history cards are omitted. Window = trailing 30 / 90 / 365 days of scraped values. Annualized volatility assumes ~daily sampling.
Liquidity
How easily each holding converts to cash near fair value, inferred from recorded sales — sale frequency, recency, and price consistency. Advisory heuristic: a card with no scraped sales scores low for lack of evidence, not proven illiquidity. Window = trailing 12 months.
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Per-Card Liquidity
Card
Grade
Liquidity
Sales/mo
Est. Days to Sell
Value
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Score = 0.45·sale-frequency + 0.20·12-mo depth + 0.20·recency + 0.15·price-consistency. "Est. Days to Sell" ≈ 30 ÷ sales-per-month. Cards with no recorded sales show as "No Data". Tune the weights in src/lib/liquidity-stats.js.
Hold vs Sell
A per-card Hold / Trim / Sell / Watch lean from price momentum, demand trend, your profit position, and how easily the card sells. Advisory only — it pairs with the Sell Advisor (which gives the list price) and doesn't know your taxes, conviction, or grading plans. Watch = too few recent sales to call. Hover a signal for the reasons.
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Per-Card Signal
Card
Grade
Signal
30d Momentum
Unrealized
Liquidity
Value
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Signal = a 0–100 pressure score from price momentum + demand trend + profit position + liquidity, bucketed Sell ≥68 / Trim ≥54 / Hold below; Watch when <3 recent comps. Pairs with — never overrides — the Sell Advisor. Tune the model in src/lib/hold-sell-stats.js.
Scenario
Scenario projections are advisory heuristics, not financial advice. They model hypothetical price moves over your current marked values — not a forecast of actual prices.
Segment Shock Sensitivity
Model a hypothetical market move by segment — "Pokemon −20%", "PSA 10 +15%". Shocks stack multiplicatively (a Pokemon PSA 10 hit by both = ×0.92), and the result is your hypothetical portfolio value, not a prediction.
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Top Movers
Card
Grade
Sport
Current
Shocked
Δ $
Δ %
Add a shock to see the impact.
Shocks apply to each card's current marked value (CL / PSA / PC / manual). A card matched by several shocks gets the product of their multipliers. Hypothetical only — pairs with, never replaces, the per-card forecast. Engine: public/js/scenario-shocks.js.
Liquidation Modeling
Model selling a basket of cards: gross → fees → net cash, plus realized P&L vs your cost basis and a liquidity-realism read. Fees ignore taxes and listing effort — it's an advisory estimate, not a guaranteed payout.
Basket
Fees
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Basket
Card
Grade
Value
Your Cost
Gain
Liquidity
Days to Sell
Net Share
Pick a basket to model a sale.
Net = gross − (platform % + per-card shipping). Realized P&L is computed only over the cards in the basket that have a cost basis. "Days to Sell" is a per-card estimate (selling many at once may take longer). Engine: public/js/scenario-liquidation.js.
Portfolio Value Projection
A Monte Carlo cone of where your portfolio's value could land, bootstrapped from its recent daily moves. It's a hypothetical range from past volatility — not a forecast of actual prices, and the downside only reflects the co-movements seen in the last ~90 days (a broad market crash where everything falls together isn't in this history).
Reconstructs the active-collection daily NAV from per-card history (intentionally differs from the Dashboard total, which includes removed cards), then runs the same Monte Carlo bootstrap as the per-card forecast. Capped at 90 days — a 1-year projection from 90 days of data is statistically meaningless. Engine: public/js/scenario-portfolio-mc.js.
Concentration & Diversification
How concentrated is your collection's value, and what would diversify it? The effective number of holdings is how many equal-sized positions your value is as concentrated as — fewer than your card count means a handful of cards dominate.
What if I trim my top
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Largest Positions
#
Card
Grade
Sport
Value
% of Value
Cumulative
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Effective holdings = 1 / HHI (the Herfindahl index, Σ of squared value-shares). Top-N share = the % of value in your biggest cards. "Trim my top N" recomputes over the collection minus those positions — a diversification what-if, not a P&L estimate. Engine: public/js/scenario-concentration.js.
Movers
Best/Worst Performers across the chosen window. Period Change = current value − value at start of window. Total Gain = current value − cost basis (cards without cost are omitted from this column).
Movers
Card
Grade
Sport
Cost
Current Value
$ Change
% Change
Total Gain
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Type:
Grade:
Status:
Card:
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Paste a CardLadder (app.cardladder.com/search?cert=...), PriceCharting (pricecharting.com/offer/...), or SportsCardsPro (sportscardspro.com/offer/...) URL to start tracking sales for a card you're considering buying. For PriceCharting/SportsCardsPro, click a grade tab (e.g. PSA 10 Sold Listings) and copy that URL — the #completed-auctions-… suffix is preserved so only that grade's sales are tracked.
Item
Source
Grade
Est. Value (median recent sales)
Trend
7d
30d
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Scheduled Scrapes
Automatically run Full scrapes at set times. When enabled, the scheduler fires at each enabled slot and runs a Full refresh. If your PC is asleep at a slot time, Windows' wake timer brings it out of sleep; if you were active in the last N minutes when the scrape finishes, the PC stays awake (so you don't get bounced to sleep while using it). Missed slots (PC was off) are skipped, not caught up.
Current status
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Auto-start setup
For scheduled scrapes to wake your PC and fire, the Node server needs to be running when the scheduled time arrives. Run the install script once from a PowerShell window in this project's folder:
node scripts/install-autostart.js
The script registers a Windows Task Scheduler task that auto-starts the server on login AND at each enabled slot time (with "Wake the computer to run this task" checked). It also verifies that Windows' "Allow wake timers" setting is enabled. You can re-run it any time your slot times change — it re-writes the existing task.
Off-site backup
Daily gzipped snapshots of data/psa-scraper.db pushed to the private collection-site-backup repo on GitHub. 14-day retention. Runs automatically at 17:30 EDT via Windows Task Scheduler; manual trigger below for off-cycle backups (useful before turning off the PC).
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Display v5.0.23+
Visual density of tables, lists, and cards across the app. Stored in your browser's localStorage only — doesn't sync to the mirror or other devices.
Display density
Comfortable matches the original spacing. Compact fits ~50% more rows per screen — useful when scanning 200+ cards. Spacious adds more breathing room for cleaner-looking screens or presentations.
Preferences
Personal defaults for the Forecast view. Set once on the desktop; the read-only mirror picks them up on the next publish, so phone access shows the same values.
v5.2.5 cleanup: Grading ROI / Sell Advisor / Discounted Listings preferences moved to live in-tab — adjust them directly on each tab and they persist automatically. The duplicate controls here were silently out-of-sync depending on which surface was last edited.
Read-only on the mirror — edit your preferences on the home server. Changes appear here after the next publish.
Price Forecast
Default horizon chip selected when you click the Forecast view on a card's value chart.