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Insider Sale Insider Sale May 26, 2026

ROSENFELD ERIC sold ~$837K in PANL stock

PANL (PANL)  ·  Data via SEC EDGAR Form 4

Verity Signals Research Published

= insider buy date

PANL price after insider trade by ROSENFELD ERIC

Insider

ROSENFELD ERIC

Role

Transaction

Open-Market Sale

Approx. Value

~$837K

Trade Date

May 26, 2026

Company

PANL

Ticker

PANL

Source

SEC EDGAR Form 4

Strong conviction signal

Scored above average across multiple factors. Roughly 15% of insider trades qualify as Strong.

~$837K sale

A significant position. Insiders who invest $500K+ of their own money typically have strong views on their company's near-term outlook.

RE

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On May 26, 2026, ROSENFELD ERIC — a corporate insider at PANL — filed a Form 4 with the SEC disclosing an open-market sale of approximately ~$837K in PANL (PANL) stock.

Under Section 16(a) of the Securities Exchange Act of 1934, corporate insiders must report all open-market stock transactions to the SEC within two business days. These filings — known as Form 4s — are publicly available on the SEC's EDGAR database. VeritySignals filters and scores the full Form 4 stream to surface high-conviction signals like this one.

Full Conviction Analysis

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All data sourced from publicly available SEC Form 4 filings via EDGAR · Not financial advice · Past performance does not guarantee future results.

Signal strength Strong
Trade size ~$837K
Insider role Insider

What is this?

When company executives buy or sell their own stock, they must report it to the SEC within 2 days. These public filings reveal what the people who know the company best are doing with their own money.

Why does it matter?

Insiders can sell for many reasons (taxes, diversification, expenses), but they generally only buy for one: they think the stock is going up. That's why insider purchases are more predictive than sales.

What makes a trade "strong"?

We score trades on 15+ factors: the insider's role (CEO > director), trade size relative to their salary, whether other insiders also bought (clusters), and historical accuracy of the insider.

Read our full methodology →

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