Insiders

SEC Form 4 activity, with receipts.

Named insiders, transaction values, Veridion Score context, and SEC filing links in one ledger. Missing price or quantity rows are dropped, never zero-filled.

SEC Form 4 ledger

APPS insider activity

APPS

Score
91 · STRONG
Pressure
Net buying
Filings
29
Buys / sells
3 / 26
Net value
$1.2M
Insiders
7
Named filers
AM
Akkerman Michael
Insider
Leadership
SI
STONE WILLIAM GORDON III
Insider
Leadership
KJ
Kinsell Joshua
Insider
Leadership
Cluster

No multi-insider buying cluster in the last 90 days

Net pressure

Net buying: $1.2M across loaded Form 4 rows.

Convergence not established

Loaded official disclosures do not show all three sources aligned on this ticker.

Filing dateTrade dateInsiderTitleTypePriceQtyOwnedValueReceipt
2025-07-102025-07-08Kinsell JoshuaInsidersell$5.655,663295,203$32KSEC Form 4
2025-08-042025-08-01Kanagaratnam SenthilkumaranInsidersell$5.121,386135,020$7KSEC Form 4
2025-08-252025-08-21Kinsell JoshuaInsidersell$4.03533294,670$2KSEC Form 4
2025-09-042025-09-03Akkerman MichaelInsidersell$4.2019,313328,823$81KSEC Form 4
2025-09-042025-09-03STONE WILLIAM GORDON IIIInsidersell$4.192,1411,755,872$9KSEC Form 4
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Source: SEC EDGAR Form 4. Rows with missing price or quantity are excluded rather than zero-filled.Methodology
Density audit
PageDepth vs barTop gap
Sovereign TerminalstrongKeep provenance dense as new panes are added.
Edge SuitestrongReserve-only reads need continued mobile audit.
Stock / ScorestrongInsider ledger now carries named filers and receipts.
Disclosure HubparHub links the disclosure surfaces, but needs more cross-surface summaries.
InsidersparConvergence becomes stronger as 13F coverage broadens.
NewsparNeeds more issuer-level receipts and source grouping.
Capital WebstrongAdd wider anchor coverage after current filer roster stabilizes.
Sector RankingsparRanking logic is useful, but drill-down context is still light.
WatchlistparNeeds more daily change explanations per ticker.
PortfolioparPer-holding Score table exists, but price/P&L attribution can be deeper.
ScreenerthinDefault result density depends on cold score dataset latency.
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