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Screeners

The Screeners section lets you filter stocks across all available tickers using alternative data criteria. With 16 screeners covering forecasts, government and regulatory filings, sentiment and social data, you can quickly identify opportunities based on the signals that matter to your strategy.

Data Screeners

Filter stocks by quantitative price forecasts:

  • Expected return - Filter by short, mid, or long-term expected moves
  • Direction - Bullish or bearish predictions
  • Market - Limit to specific markets (S&P 500, NASDAQ, etc.)

Screen longer-horizon price forecasts:

  • Expected return - Filter by 3-month, 6-month, or 12-month expected moves
  • Direction - Bullish or bearish forecasts
  • Market - Limit to specific markets

Find stocks with significant sentiment shifts:

  • Current sentiment - Filter by positive, negative, or neutral
  • Date range - Analyze specific time periods

Track executive buying and selling patterns:

  • Transaction type - Purchases, sales, or option exercises
  • Insider role - CEO, CFO, Directors, etc.
  • Transaction size - Filter by share count or dollar value

Every row is dual-dated and carries its own provenance:

  • Filed - The date the Form 4 was filed and became public, alongside the transaction date. This is the look-ahead-free anchor
  • Lag (D) - Days from transaction to filing, computed from the two delivered dates. The SEC’s window is 2 business days
  • Filing - A direct link to the source Form 4 on SEC EDGAR, so any row can be audited against the official filing in one click

Monitor US House Representatives trading:

  • Transaction type - Purchases or sales
  • Amount range - Filter by the disclosed STOCK Act bracket
  • Representative - Search by specific member
  • Disclosed - The public filing date, shown next to the transaction date
  • Lag (D) - Days from trade to public disclosure. The STOCK Act allows up to 45 days, and the gap is a modellable feature in its own right
  • Owner - Whether the trade sits in the member’s own account, a spouse’s, a dependent child’s, or a joint account. Per-account disclosures are separate rows

Track US Senator trading activity:

  • Transaction type - Purchases or sales
  • Amount range - Filter by the disclosed STOCK Act bracket
  • Senator - Search by specific member
  • Disclosed - The public filing date, shown next to the transaction date
  • Lag (D) - Days from trade to public disclosure
  • Owner - Member, spouse, dependent child, or joint account

Screen stocks by Wall Street coverage:

  • Rating type - Upgrades, downgrades, initiations
  • Signal - Buy, Hold, Sell ratings
  • Price target - Above or below current price
  • Institution - Filter by specific firms

Filter by options market sentiment:

  • Put/call ratio - High (bearish) or low (bullish)
  • Volume - Filter by options activity level

Screen by company growth signals:

  • Employee count - Filter by headcount
  • Follower count - Filter by LinkedIn followers
  • Job openings - Filter by open roles listed

Filter consumer-facing companies by mobile app performance:

  • App Store rating - iOS app quality score
  • Play Store rating - Android app quality score
  • Review volume - Filter by number of reviews
  • Install count - Android installation numbers

Screen companies by lobbying activity and expenditures:

  • Lobbying spend - Filter by quarterly or annual lobbying expenditure
  • Registrant firm - Search by lobbying firm name
  • Filing quarter - Filter by reporting period

Identify companies winning federal contracts:

  • Contract value - Filter by award amount
  • Awarding agency - Department of Defense, HHS, NASA, etc.
  • Date range - Filter by award date
  • Industry - Filter by NAICS industry description

Track USPTO grants mapped to corporate assignees:

  • Company - Search by assignee
  • Patent title - Keyword search across grant titles
  • Type - Utility, design, or plant patents
  • CPC class - Filter by technology classification
  • Claims - Filter by claim count
  • Grant date - Filter by when the patent issued

Track retail attention across investing subreddits:

  • Mention count - Filter by total mentions
  • Subreddit - Focus on specific communities (wallstreetbets, stocks, etc.)
  • Timeframe - Filter by data collection period

A combined view of House and Senate member trades with additional filtering:

  • Chamber filter - House only, Senate only, or combined
  • Transaction type - Purchases or sales
  • Amount range - Filter by the disclosed STOCK Act bracket
  • Member - Search by specific politician
  • Disclosed - The public filing date, shown next to the transaction date

This screener combines the data from the House and Senate screeners above into a single view with a chamber toggle for convenience.

Stay on top of market-moving news:

  • Keyword search - Find news by topic or company
  • Sentiment filter - Positive, negative, or neutral news
  • Source - Filter by publication
  • Date range - Today, this week, custom range
Insider Trading Screener
  1. Select a screener from the left sidebar
  2. Set your filters using the controls at the top
  3. Review results in the main table
  4. Sort and rank by clicking column headers
  5. Click any ticker to view its full Ticker Page

Each screener supports multiple filters that work together:

  • Filters are applied with AND logic
  • Results update in real-time as you adjust
  • Clear individual filters or reset all at once

Results display in a sortable table showing:

Column Description
Ticker Stock symbol (click to view Ticker Page)
Company Company name
Primary Metric Main data point for the screener type
Secondary Metrics Additional relevant data
Date When the data was recorded

Every screener has an Export CSV button in its summary bar. It downloads the rows currently matching your filters, in the sort order on screen, across all pages — not just the page you are looking at. The row count on the button is what the file will contain.

Notes on the file:

  • Dates are written as ISO calendar dates (2026-03-15) rather than the display format, so the file parses cleanly in pandas, Excel, or R
  • It is UTF-8 with a byte-order mark, so Excel opens non-ASCII company and politician names correctly
  • The export contains the rows loaded in that view. Full historical depth is served through the API, the Python SDK, and MCP
  1. Start broad, then narrow - Begin with loose filters and tighten to find the best matches
  2. Combine with fundamentals - Use alternative data alongside traditional metrics
  3. Check regularly - Monitor screeners for new signals as data updates
  4. Cross-reference - Check signals across multiple screeners for confirmation