🎯 SEC Insider Alpha Sniper: Form 4 Cluster Buys & Smart Money Tracker

Track high-conviction insider buying from official SEC EDGAR Form 4 filings in real-time. Filter pure open-market purchases (Code P), detect executive cluster buying, calculate quantitative conviction scores, and follow C-suite smart money before Wall Street takes notice.

---

🌟 What is SEC Insider Alpha Sniper?

Legendary investor Peter Lynch famously stated:

"Insiders might sell their shares for any number of reasons — buying a house, taxes, or college tuition. But they only buy shares for one single reason: they believe the price is going up."

Every business day, corporate executives, board members, and major institutional shareholders file SEC Form 4 disclosures reporting transactions in their company's stock.

However, 80% of all SEC filings are pure noise: routine stock options exercises, tax withholdings, or pre-scheduled automatic retirement sales (Rule 10b5-1).

SEC Insider Alpha Sniper cuts through the clutter. It monitors the official SEC EDGAR stream in real-time, isolates genuine skin-in-the-game open-market purchases (Transaction Code P), identifies powerful Executive Cluster Buys (multiple C-suite executives accumulating simultaneously), and assigns a proprietary Quantitative Conviction Score (1–100) to every trade.

---

🚀 Key Features

• 🛡️ 100% Official SEC EDGAR Disclosures: Direct data ingestion from the U.S. Securities and Exchange Commission with zero reliance on third-party aggregators or delayed feeds.
• 🎯 Pure Open-Market Purchases (Code P): Automatically excludes non-discretionary noise (stock grants, option conversions, automated plan executions) to reveal true insider conviction.
• 👥 Multi-Executive Cluster Detection: Flags stocks where 2 or more distinct company leaders (e.g., CEO, CFO, and Directors) accumulate shares within a 7 to 30-day window — historically one of the most reliable bullish catalysts in equity markets.
• 📊 Quantitative Conviction Scoring (1–100): Evaluates every transaction using an institutional-grade scoring engine that weights executive role, dollar volume, percentage increase in holdings, and cluster density.
• 🌐 Universal Market-Wide or Watchlist Monitoring: Scan the entire universe of 10,000+ U.S. publicly traded equities in real-time, or target your custom portfolio watchlists (e.g. NVDA, PLTR, TSLA, AAPL).
• 📋 Dual-Format Output: Delivers structured JSON datasets ready for algorithmic pipelines alongside an Executive Brief in Markdown saved directly to your Key-Value Store for immediate human review.

---

⚙️ Input Parameters

Configure the Actor via simple settings or an automated JSON payload:

Parameter	Type	Default	Description	Example
tickers	Array	[]	List of stock tickers to monitor. Leave empty to scan the entire US market in real-time.	["NVDA", "PLTR", "SOFI"]
transactionTypes	Array	["P"]	Form 4 transaction types to include. Code P represents open-market purchases; S tracks open-market sales.	["P"]
minTransactionValueUsd	Integer	50000	Minimum dollar value ($ USD) of the trade to filter out trivial purchases.	100000
onlyClusterBuys	Boolean	false	When enabled, only outputs stocks where 2+ distinct company insiders bought within the window.	true
onlyCSuite	Boolean	false	Filter exclusively for top-tier leadership: CEO, CFO, COO, President, and Board Chairs.	true
minConvictionScore	Integer	50	Minimum quantitative conviction score required (1 to 100). Scores $\ge 65$ reflect high conviction.	65
maxFilings	Integer	100	Maximum number of recent SEC Form 4 filings to scan per run (10 to 500).	200
lookbackDays	Integer	7	Lookback window in days used to correlate multi-insider cluster accumulation.	14
generateMarkdownSummary	Boolean	true	Creates an executive-ready Markdown summary in Key-Value store (INSIDER_BRIEF_MD).	true

Example Input:

{
  "tickers": [],
  "transactionTypes": ["P"],
  "minTransactionValueUsd": 50000,
  "minConvictionScore": 60,
  "onlyClusterBuys": false,
  "onlyCSuite": false,
  "maxFilings": 150,
  "lookbackDays": 7,
  "generateMarkdownSummary": true
}

---

📦 Output Data Structure

The Actor pushes flat, clean, and normalized records to the default Apify Dataset. Every record provides complete executive and financial context:

{
  "ticker": "ACME",
  "companyName": "Acme Industrial Technologies Corp.",
  "issuerCik": "0001234567",
  "filingDate": "2026-11-02",
  "periodOfReport": "2026-10-31",
  "insiderName": "Sterling Sarah",
  "insiderCik": "0001987654",
  "officerTitle": "Chief Executive Officer",
  "isDirector": true,
  "isOfficer": true,
  "isTenPercentOwner": false,
  "isCeoOrCfo": true,
  "transactionCode": "P",
  "transactionTypeDescription": "Open-Market Purchase",
  "shares": 25000,
  "pricePerShare": 42.50,
  "totalValueUsd": 1062500.00,
  "sharesOwnedFollowing": 150000,
  "stakeIncreasePct": 20.0,
  "is10b51Plan": false,
  "convictionScore": 88,
  "convictionRating": "ULTRA_CONVICTION",
  "isClusterBuy": true,
  "clusterSize": 3,
  "clusterInsiders": [
    "Sterling Sarah",
    "Reynolds David",
    "Vance Elena"
  ],
  "secFilingUrl": "https://www.sec.gov/Archives/edgar/data/1234567/000123456726000010/0001234567-26-000010-index.htm",
  "xmlUrl": "https://www.sec.gov/Archives/edgar/data/1234567/000123456726000010/wk-form4.xml"
}

Pre-Configured Dataset Views

1. insiderTrades View: A streamlined table ranking all verified open-market purchases by Conviction Score, transaction size, and insider title.
2. clusterBuyAlerts View: Highlights corporate enclaves where multiple executives are accumulating stock simultaneously.
3. INSIDER_BRIEF_MD (Key-Value Record): Formatted Markdown report featuring top trades, cluster summaries, and executive metrics.

---

🧠 Conviction Score Methodology

Transactions are evaluated on a 100-point scale:

• Base Allocation (+35 pts): Granted strictly to open-market purchases (Code P).
• Seniority Weight (+10 to +25 pts): Scaled by executive influence (CEO and CFO carry maximum statistical predictive power; followed by COO, President, and Board Directors).
• Capital Commitment (+4 to +20 pts): Scaled across dollar thresholds ($25k, $100k, $250k, $500k, and $1M+).
• Equity Stake Expansion (+5 to +15 pts): Rewards significant position growth (+5%, +20%, +50%+).
• Cluster Multiplier (+10 to +15 pts): Triggered when 2 or more distinct company leaders buy during the same window.
• Discretionary Bonus (+5 pts / -10 pts): Spontaneous, out-of-pocket buys receive full credit; pre-scheduled Rule 10b5-1 programmatic plans are flagged and discounted.

Conviction Tiers:

• ULTRA_CONVICTION (80–100): Massive discretionary purchase by C-suite leadership or active multi-insider cluster.
• HIGH_CONVICTION (65–79): Significant capital deployment with high stake expansion.
• MODERATE_CONVICTION (50–64): Standard open-market acquisition meeting minimum thresholds.
• ROUTINE_PURCHASE (< 50): Lower capital commitment or non-leadership purchases.

---

🔌 Automated Integrations & Workflows

Connect SEC Insider Alpha Sniper to your existing workflow in minutes:

• Telegram & Discord Alerts: Connect Apify Webhooks to send instant push notifications whenever an ULTRA_CONVICTION or Cluster Buy event is detected.
• Automated Spreadsheets: Sync directly with Google Sheets, Airtable, or Notion using Make (Integromat) or Zapier.
• Algorithmic Trading & Quant Models: Query the Apify API via Python, JavaScript, or cURL to feed live insider sentiment into quantitative strategy engines.
• Scheduled Runs: Set a recurring schedule (e.g., every 30 minutes during market hours, or once daily after market close) to maintain an always-updated smart money tracker.

---

❓ Frequently Asked Questions

Are these disclosures official and legal?

Yes, 100%. All data is parsed directly from official U.S. Securities and Exchange Commission (SEC) Form 4 filings submitted under Section 16(a) of the Securities Exchange Act of 1934.

Does this cover all U.S. exchanges?

Yes. The monitor covers all equities listed on the NYSE, NASDAQ, AMEX, and major OTC markets.

What is the advantage over standard SEC scrapers?

Generic scrapers dump thousands of uncurated rows containing routine stock grants and salary awards. SEC Insider Alpha Sniper applies quantitative filtering to isolate pure discretionary purchases, detects cluster accumulation, and ranks trades by empirical predictive conviction.