CyberMax-tools/sec-form4-insider-transactions

Insidewell: SEC Form 4 insider transactions

Today's Form 4 insider trades for your watchlist, minutes after EDGAR: $5 for 2,000 API calls. Buy now → · API key on screen the moment checkout ends · no subscription · 14-day refund if it doesn't work as described · help: cybermax.tools@gmail.com

Need it fresh, filtered or via API? This free file is a snapshot (SEC Form 4 insider trades up to the last refresh), last updated 2026-09-25.

• Insidewell insider trades API (100 free calls a day, $5 for 2,000 calls, or $19/month for 10,000): gives you the latest SEC Form 4 insider trades minutes after EDGAR posts them, filtered by ticker, insider, buy or sale, dollar value and dates, plus cluster buys, by REST API or MCP; pay by card in one click, key shown instantly, no account needed.
• Insidewell on Apify ($0.004 per insider transaction): pulls today's SEC Form 4 trades for your own watchlist, filtered by buy/sell and size, with cluster-buy alerts on a schedule.
• Using it at work? Commercial license + support (from $49/year): invoice, PDF licence certificate, named support, freshness and availability commitments and an SLA; the data stays free and open for everyone.
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Information only, not investment advice.

Every insider stock transaction (non-derivative table) reported to the SEC on Form 4 and 4/A over the latest 5 EDGAR business days (filed 2026-09-17 to 2026-09-23; a few late filings report older trades): officers, directors and 10% owners buying, selling, receiving grants, exercising options, gifting shares and more, across all SEC-reporting issuers. Cleaned into one flat table with ticker, insider role, dollar value and a cluster-buy flag (2 or more insiders of the same company buying on the open market within 7 days).

This build: 4,191 transactions from 2,241 Form 4 filings, including 2,020 open-market trades (382 purchases), with cluster buys at 34 issuers. See meta.json for the exact build time and counts.

Use it

from datasets import load_dataset
df = load_dataset("CyberMax-tools/sec-form4-insider-transactions", split="train").to_pandas()
buys = df[(df.transaction_code == "P") & (df.acquired_disposed == "A")]
print(buys.sort_values("total_value_usd", ascending=False)[["ticker", "owner_name", "owner_role", "total_value_usd"]].head(20))
print(df[df.cluster_buy][["ticker", "issuer_name", "cluster_insider_count"]].drop_duplicates())

Open-market only: df[df.is_open_market] (codes P and S). Most other codes (A, M, F, G) are compensation or tax mechanics rather than a view on the stock.

Files

data/transactions.parquet (viewer), plus the same rows as data/transactions.jsonl and data/transactions.csv, and meta.json.

column	meaning
transaction_date	date of the trade (YYYY-MM-DD)
filed_at	date the Form 4 was filed with the SEC
issuer_cik, issuer_name, ticker	the company (10-digit CIK; ticker as reported, null for unlisted issuers)
owner_cik, owner_name, owner_role	the reporting insider and their title or relationship (Director, Officer, 10% owner)
transaction_code, transaction_type	SEC transaction code and its plain-English meaning (P purchase, S sale, A grant, M option exercise, F tax withholding, G gift...)
acquired_disposed	A acquired or D disposed
is_open_market	true for codes P and S
shares, price_per_share, total_value_usd	size, price and shares x price (null or 0 when no price is reported, e.g. grants and gifts)
shares_owned_after	insider's holding after the transaction
cluster_buy, cluster_insider_count	open-market buy where 2+ distinct insiders bought the same issuer within 7 days in this window
form_type	4 or 4/A (amendment)
accession_number, filing_url	the EDGAR filing, for verification

Get fresh data

• Watchlists, any lookback, whole-market scans, cluster alerts, JSON for AI agents (MCP-callable): Insidewell on the Apify Store.
• Browse today's open-market insider buys and sells in your browser: free Insidewell Space.

Related free SEC datasets from CyberMax

• Figurewell: SEC XBRL financial statements and key metrics: revenue, net income, EPS, cash and debt for every filer, latest 4 quarters. Join on ticker to see whether insiders buy after good or bad numbers.
• Riskroll: 10-K/10-Q Risk Factors and MD&A text.
• Eventwren: SEC 8-K material events by Item.

Use it in production

This snapshot is free. For pipelines that need it current every day, the Deltawren SEC Form 4 insider transactions feed serves the same files with the same columns, refreshed daily (new Form 4 filings from EDGAR, every business day), plus daily history and a "what changed since yesterday" diff. Every transaction since the feed start date stays in the feed (it grows daily), plus every daily diff.

Switching is one line: change the base URL and add your key.

import pandas as pd

# free snapshot
# BASE = "https://huggingface.co/datasets/CyberMax-tools/sec-form4-insider-transactions/resolve/main/"
BASE = "https://deltawren.cybermaxtools.com/v1/form4/latest/"  # Deltawren daily feed
KEY = {"headers": {"x-api-key": "YOUR_KEY"}}  # or add ?key=YOUR_KEY to the URL

df = pd.read_parquet(BASE + "data/transactions.parquet", storage_options=KEY)

# what changed since yesterday (free summary; the changed rows need the key)
import requests
print(requests.get("https://deltawren.cybermaxtools.com/api/changes?feed=form4").json())

Get a feed key (from $29/month, or every feed in one key) · Docs · Manifest

Licence: Free for any use, including commercial (CC0; SEC filings are public domain). Using it at work? The Commercial License + Support adds an invoice, a licence certificate, named support and an SLA.

Information only, not investment advice.

Source and license

Data comes from SEC EDGAR (daily form index and each filing's ownership XML), fetched under the SEC's fair-access policy. EDGAR filings are US government public-domain records; this compilation is released under CC0 1.0. Insider names are as filed with the SEC.

Not investment advice. Filings can be late, amended or contain filer errors; always check the linked filing. Not affiliated with the SEC. Built by CyberMax.

More free from CyberMax

• All free CyberMax demos & datasets
• Insidewell: SEC Insider Trades
• Eventwren: SEC 8-K Material Events by Item (latest EDGAR filings)
• Curvewire: US Treasury yield curve + BLS macro panel (official sources)

Quickstart notebook

Load this dataset with pandas and see real outputs in the quickstart notebook. Need it refreshed for your own list? Insidewell — SEC Form 4 Insider Trading Tracker & Alerts.

Browse it on the web

Free, no sign-up: a feed of new open-market insider buys: RSS · JSON. AI agents can query it through the remote MCP server https://data.cybermaxtools.com/mcp (no key).

Cite as: Source: CyberMax, cybermaxtools.com/datasets/