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

SPCE insider activity

SPCE

Score
40 · SELL BIAS
Pressure
Net selling
Filings
33
Buys / sells
1 / 32
Net value
-$1.2M
Insiders
5
Named filers
KE
Kim Sarah E
Insider
Leadership
SS
Strandberg Diana S.
Insider
Leadership
CA
Chitale Aparna
Insider
Leadership
Cluster

No multi-insider buying cluster in the last 90 days

Net pressure

Net selling: -$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
2025-07-152025-07-14Chitale AparnaInsidersell$3.12528,750$162SEC Form 4
2025-09-232025-09-22Kim Sarah EInsidersell$3.29277,067$89SEC Form 4
2025-10-082025-10-07Chitale AparnaInsidersell$4.081538,838$624SEC Form 4
2025-10-082025-10-07Chitale AparnaInsidersell$4.082838,991$1KSEC Form 4
2025-10-082025-10-07Colglazier Michael AInsidersell$4.0879832,744$3KSEC 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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