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Christopher Hoeben
Christopher Hoeben

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SEC Form 4 insider buying, 2026-07-17: the notable director & officer purchases

Every insider buy and sell reported to the SEC on 2026-07-17, parsed from primary EDGAR filings into a clean dataset. Here are the moves that matter — and how the data is built.

TL;DR: On 2026-07-17, 29 individual directors & officers made open-market purchases of their own stock (~$5,004,059), against 394 open-market sales. Separately, 19 larger fund / 10%-owner buys (~$479,974,084) are kept apart so a bank's strategic stake doesn't masquerade as insider conviction.

Why individual insider buys are the signal

Insiders sell for a hundred reasons — taxes, diversification, a new house. They buy their own stock on the open market for essentially one: they think it's going up. That's why the number worth watching isn't "insider activity" in aggregate — it's individual directors and officers putting their own cash in, separated from institutional 10%-owner block trades.

The notable individual-insider buys

  • AXIA Energia S.A. (AXIA3) — $1,012,449 · Batista de Lima Filho Pedro (Director), 104,700 shares @ $9.67, traded 2026-07-15
  • Liberty Latin America Ltd. (LILA) — $1,006,711 · FRIES MICHAEL T (Director, Officer, Executive Chairman), 49,382 shares @ $20.39, traded 2026-06-25
  • AXIA Energia S.A. (AXIA3) — $921,551 · Batista de Lima Filho Pedro (Director), 95,300 shares @ $9.67, traded 2026-07-15
  • Elevance Health, Inc. (ELV) — $753,071 · BOUDREAUX GAIL (Director, Officer, President and CEO), 2,045 shares @ $368.25, traded 2026-07-17
  • Elevance Health, Inc. (ELV) — $366,050 · PERU RAMIRO G (Director), 1,000 shares @ $366.05, traded 2026-07-17
  • Elevance Health, Inc. (ELV) — $249,159 · BOUDREAUX GAIL (Director, Officer, President and CEO), 680 shares @ $366.41, traded 2026-07-17
  • Greenland Mines Ltd (GRML) — $245,280 · LeBlanc Jeff (Officer, Chief Financial Officer), 1,400,000 shares @ $0.18, traded 2026-07-16
  • Navios Maritime Partners L.P. (NMM) — $83,469 · Frangou Angeliki (Director, Officer, 10% owner, See Remarks), 1,111 shares @ $75.13, traded 2026-07-16
  • Navios Maritime Partners L.P. (NMM) — $83,136 · Frangou Angeliki (Director, Officer, 10% owner, See Remarks), 1,118 shares @ $74.36, traded 2026-07-15
  • Navios Maritime Partners L.P. (NMM) — $81,260 · Frangou Angeliki (Director, Officer, 10% owner, See Remarks), 1,119 shares @ $72.62, traded 2026-07-17

How the dataset is built (and why it's not trivial)

It's not just "download the filings." The pipeline that produces this:

  1. Pulls the SEC EDGAR daily Form-4 index (free, keyless — with a compliant User-Agent).
  2. Parses each filing's ownershipDocument XML for issuer, insider, role, transaction code, shares, and price.
  3. De-duplicates — a single trade by a fund group is filed through many affiliated entities (and repeated within a filing); on a busy day that's ~50% redundant rows. Collapsing them on the transaction identity is the difference between a real number and a 2× inflated one.
  4. Verifies deterministically — every row's value is checked against shares × price; codes validated; nothing AI-generated. Each row links back to its original SEC filing.

The result is a clean CSV / Excel table you can sort, filter (code = P for open-market buys), and drop into a screener or backtest — instead of writing an EDGAR parser yourself.


I run this every trading day and keep one cumulative, de-duplicated dataset updated — every Form 4 insider buy & sell, source-linked, in CSV + Excel. If you'd rather not maintain the scraper yourself, it's a membership here: https://unfairhq.gumroad.com/l/rtukz.

Your turn

Do you actually weight insider buying in your process — and if so, do you filter for clusters (several insiders at one company) or just the big single buys? Curious how others use this.

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