Complete 13-actor institutional finance data toolkit — 13F holdings, 13F-delta, insider Form 4, insider cluster detection, Schedule 13D/G activist, 8-K material events, Form D private placements, N-PX mutual fund votes, N-PORT mutual fund holdings, IPO tracker, earnings calendar, analyst price targets, and short interest. Built for event-driven hedge fund desks, multi-asset PMs, governance / ESG research, and activist trackers running a programmatic data pipeline.
Institutional-finance data is fragmented across half a dozen surfaces — EDGAR for SEC filings, FINRA for short interest, exchange feeds for IPO and earnings calendars, sell-side broker data for analyst targets — and each surface has its own quirks (rate limits, schema drift, filing-window latencies). The polished aggregators (Bloomberg Terminal $24K/year, Capital IQ $15K+/year, FactSet $12K+/year, WhaleWisdom $50-1,200/year, Quiver Quantitative $10-100/month) each solve part of this fragmentation, with different cost / depth / programmatic-access trade-offs.
The NexGenData institutional finance stack is built for the buy-side data-pipeline layer specifically: 13 composable per-result actors that each pull cleanly from primary sources (EDGAR, FINRA, exchange calendars), return structured JSON/CSV with normalized fields, and plug into your Snowflake / BigQuery / Databricks warehouse without a multi-quarter enterprise procurement cycle. Most funds running this stack pay $40-200/month for the full pipeline.
The 13-actor institutional finance stack
| Surface | What it covers | Actor | Output fields |
|---|---|---|---|
| 13F holdings | Quarterly hedge fund + institutional manager equity holdings snapshot | sec-form-13f-holdings-tracker | CIK, manager name, ticker, shares, value ($), filing date |
| 13F holdings delta | Quarter-over-quarter holdings change — new positions, adds, trims, exits | 13f-holdings-delta-tracker | Manager, ticker, prior shares, current shares, delta %, action |
| Form 4 insider trades | C-suite + 10%-owner open-market insider buying and selling | sec-form4-insider-tracker | Insider name, role, ticker, transaction type, shares, price |
| Insider cluster detector | Clustered insider buying across multiple insiders within a 30-day window | insider-cluster-detector | Ticker, cluster start date, # insiders, total $ bought, cluster strength |
| Schedule 13D/G activist | Activist investor >5% position disclosures (13D) + passive (13G) | sec-schedule-13dg-activist-tracker | Filer, target ticker, % stake, 13D vs 13G, filing date, purpose |
| Form 8-K material events | Public-company material-event filings — M&A, leadership change, earnings preannounce | sec-form-8k-material-events-scraper | Ticker, event type (item #), filing date, summary, attached exhibits |
| Form D private placements | Reg D private-placement filings — Form D startup and PE funding events | sec-form-d-scraper | Issuer, offering type, amount raised, investors, filing date |
| Form N-PX mutual fund votes | Mutual fund + ETF proxy-vote disclosures — Form N-PX (annual) | sec-form-npx-mutual-fund-proxy-votes | Fund CIK, issuer, vote (For/Against/Abstain), proposal, mgmt rec |
| Form N-PORT mutual fund holdings | Mutual fund + ETF monthly portfolio holdings — Form N-PORT | sec-form-nport-mutual-fund-holdings | Fund CIK, ticker, shares, value, % of NAV, asset class |
| IPO tracker | US-listed IPO calendar + recent pricings (NYSE + NASDAQ) | ipo-tracker | Issuer, ticker, IPO date, price range, shares offered, underwriters |
| Earnings calendar | Forward-looking earnings-release calendar for US listed equities | earnings-calendar | Ticker, report date, fiscal period, EPS estimate, time (BMO/AMC) |
| Analyst price targets | Sell-side analyst price targets + rating changes for US listed equities | analyst-price-targets | Ticker, firm, analyst, target price, rating, change date |
| Short interest tracker | FINRA short-interest position data for US listed equities (bi-monthly) | short-interest-tracker | Ticker, short interest shares, % of float, days-to-cover, change |
Why this stack beats Bloomberg, WhaleWisdom, Quiver, Capital IQ, and FactSet
| Feature | NexGenData inst-finance stack | Bloomberg Terminal | WhaleWisdom | Quiver Quantitative | Capital IQ / FactSet |
|---|---|---|---|---|---|
| Annual cost — 1 pipeline | $480-2,400 (metered) | $24,000+ | $600-1,200 | $120-1,200 | $12K-15K+ |
| 13F + 13F-delta separate actors | Yes | Bundled | Yes — UI | Yes — UI | Bundled |
| Insider cluster detection | Yes — first-class actor | Build yourself | No | Yes — UI | Build yourself |
| Activist 13D/G tracker | Yes | Yes | Limited | Yes | Yes |
| 8-K material events parsed | Yes — by item # | Yes | Limited | Yes | Yes |
| Form D private placements | Yes | Yes | No | Limited | Yes |
| N-PX mutual fund proxy votes | Yes — full per-vote grid | Aggregate only | No | No | Aggregate only |
| N-PORT mutual fund monthly holdings | Yes | Yes | No | Partial | Yes |
| IPO calendar + earnings calendar | Yes — both | Yes | No | Partial | Yes |
| Analyst price targets + short interest | Yes — both | Yes | No | Partial | Yes |
| Programmatic API access | Yes — pay-per-result | B-API (expensive) | API on enterprise tier | Yes — paid tier | Enterprise API tier |
| Warehouse-ready JSON/CSV | Yes — Snowflake-friendly | Terminal-first | UI-first | Yes | Yes — enterprise tier |
7 use cases across event-driven and multi-asset desks
1. Event-driven fund running 13F + 13F-delta quarterly rebalance scan. An event-driven L/S fund scans the post-45-day 13F-filing window every quarter for material position changes by 300 tracked managers. Workflow: 13F holdings actor + 13F-delta actor scheduled at filing-window close, output joined in Snowflake, daily Slack alert on any tracked manager with a new >$100M position. Cost: ~$30/month. Compare to a WhaleWisdom Premium subscription at $1,200/year (which gives you the UI but no clean warehouse-ready feed).
2. Insider cluster overlay for a small-cap quality fund. A long-only small-cap quality fund overlays insider cluster activity on top of their existing factor screen. Workflow: Insider Cluster Detector scheduled daily, filter to clusters with >3 insiders and >$1M total purchase, intersect with their existing 200-name quality watchlist, daily PM-level alert on any overlap. Cost: ~$15/month. Backtest pickup: roughly 200-400 bps annualized vs the factor-screen-only baseline (consistent with the Cohen-Malloy-Pomorski insider-cluster literature).
3. Activist tracker for a special-situations desk. A special-situations fund tracks every 13D filing in real time to catch activist campaigns at inception. Workflow: Schedule 13D/G actor scheduled hourly, filter to 13D filings (active campaigns, vs passive 13G), alert on any new 13D with stake >5%, manual triage by the desk to deep-dive within 4 hours of EDGAR publication. Cost: ~$25/month. Compare to a Bloomberg ACT <GO> subscription at $24K/year (which gives you the same data plus a polished UI).
4. 8-K material-events parsing for an event-driven equity desk. An event-driven desk needs to react to material 8-K events (M&A announcements via Item 1.01, leadership departures via Item 5.02, earnings preannouncements via Item 2.02) within minutes of publication. Workflow: Form 8-K actor scheduled every 15 minutes, parsed by item number, Slack alert routed to the relevant analyst based on event type. Cost: ~$40/month. Compare to a Bloomberg ALRT subscription at $24K/year.
5. ESG / governance research using N-PX vote disclosures. An ESG-focused research firm benchmarks how the largest asset managers (BlackRock, Vanguard, State Street, Fidelity) voted on contentious proposals across the proxy season. Workflow: N-PX actor pulled annually after the August 31 filing deadline, output joined in BigQuery to a normalized proposal-type taxonomy, weekly research note publishing voting-pattern shifts. Cost: ~$50/year. Compare to an ISS or Glass Lewis enterprise contract at $25K-100K/year.
6. ETF fund-flow + crowding analysis via N-PORT. A multi-asset PM running tactical ETF allocation needs to understand which ETFs hold the most of which underlying securities, and how that overlap drives forced selling during outflow events. Workflow: N-PORT actor scheduled monthly, output normalized in Snowflake to fund-by-security grid, weekly refresh of fund-overlap matrix and crowding metric. Cost: ~$30/month. Compare to a Morningstar Direct seat at $20K-40K/year.
7. IPO + earnings + analyst-targets daily-prep workflow for a generalist PM. A generalist PM prepping for the daily morning meeting needs IPO calendar (recent pricings + upcoming), earnings calendar (this week + next), analyst rating changes (last 24 hours), and short-interest changes (latest report). Workflow: IPO tracker + Earnings calendar + Analyst price targets + Short interest actors all scheduled daily at 6 AM ET, output rolled up into a single morning-prep PDF via Apify webhook + a small Python script. Cost: ~$15/month. Compare to a Bloomberg morning-prep workflow at $24K/year.
Sister actors across the SEC + market-data fleet
The institutional finance stack composes naturally with the broader SEC, IPO, and corporate-actions actors:
- SEC Form 13F Tracker — quarterly institutional holdings, the backbone of fund-tracking workflows.
- 13F Holdings Delta — quarter-over-quarter position changes, ideal for material-action alerts.
- SEC Form 4 Insider Tracker — C-suite and 10%-owner open-market trades.
- Insider Cluster Detector — multi-insider 30-day-window buying clusters.
- Schedule 13D/G Activist — activist campaigns + passive >5% disclosures.
- Form 8-K Material Events — public-company event filings parsed by item number.
- Form N-PX Proxy Votes — mutual fund and ETF annual proxy-vote disclosures.
- Form N-PORT Monthly Holdings — mutual fund and ETF monthly portfolio holdings.
- IPO Tracker — US IPO calendar + recent pricings.
- Earnings Calendar — forward-looking earnings release schedule.
- Analyst Price Targets — sell-side targets and rating changes.
- Short Interest Tracker — FINRA short-interest data with days-to-cover.
- SEC Form D Scraper — Reg D private placement filings.
Frequently asked questions
How does this overlap with /sec-filings-toolkit — should I use both?
The /sec-filings-toolkit page covers a focused subset (10-K, 10-Q, S-1, Form 4, 13F, 8-K). This /institutional-finance-stack page is broader: it adds the 13F holdings delta tracker (quarter-over-quarter position changes), the insider cluster detector (multi-insider buying inside a 30-day window), the activist 13D/G tracker, the new N-PX mutual fund proxy votes actor, the new N-PORT mutual fund monthly holdings actor, plus IPO calendar, earnings calendar, analyst targets, and short interest. If you are an event-driven fund or a multi-asset PM running a comprehensive institutional-finance pipeline, this is the right anchor page. If you are a fundamental analyst focused on filings, /sec-filings-toolkit is the more focused entry point. Both link to the same underlying actors.
Why is this better than WhaleWisdom at $50/month?
WhaleWisdom ($50/month for the standard tier, $1,200/year for premium) is a polished 13F-focused web UI built for retail and prosumer hedge-fund watchers. It is hard to beat for the workflow of “I want to see what Buffett bought last quarter.” The NexGenData institutional finance stack is built for a different buyer: an event-driven hedge fund desk or a multi-asset PM running a programmatic pipeline who needs 13F + 13F-delta + Form 4 + 8-K + N-PX + N-PORT + 13D/G in one composable warehouse-friendly feed. The WhaleWisdom UI is great; the API behind it is enterprise-priced. This stack delivers the raw structured data at metered pay-per-result rates, ready for your Snowflake or BigQuery table.
What does the N-PX actor unlock that isn’t already on Bloomberg?
Form N-PX is the SEC-mandated annual disclosure of how every mutual fund and ETF voted on every proxy proposal at every company they hold. Bloomberg surfaces aggregate vote outcomes from the company side, but does not give you a fund-by-fund / proposal-by-proposal grid. The N-PX actor returns the full long-form: which specific BlackRock fund voted For or Against the say-on-pay proposal at which specific company on which specific date, vs management recommendation. For ESG and governance research desks, this is the primary-source-of-truth dataset for benchmarking voting behavior across the asset-manager landscape — the layer underneath Glass Lewis and ISS aggregate reports.
And what does N-PORT add?
Form N-PORT is the SEC-mandated monthly portfolio holdings disclosure for mutual funds and ETFs (replaced the old quarterly N-Q). For an analyst running fund-flows research or ETF holdings overlap analysis, N-PORT is the highest-frequency holdings dataset available — monthly, with a 60-day delay on public release. The N-PORT actor returns the full long-form per-fund holdings grid: fund CIK, security CUSIP/ticker, shares, market value, % of NAV. This is what powers fund-overlap analysis (“which ETFs hold the most of $X”), forced-selling analysis (“if XLK has a 2% outflow, how many shares of $Y get sold”), and crowding metrics across the open-end fund universe.
What’s the use case for the insider cluster detector specifically?
Cluster buying — defined as 3+ different insiders at the same company buying open-market within a 30-day window — is one of the most reliable forward-return indicators in the academic literature (Cohen-Malloy-Pomorski 2012, Jeng-Metrick-Zeckhauser 2003). The Insider Cluster Detector actor flags these clusters automatically and ranks by total dollar amount, # of insiders, and seniority (CEO/CFO counted heavier than directors). For a long-only fund running a small-cap quality screen or a long/short fund running an insider-activity overlay, this is the cleanest way to surface the highest-conviction insider activity vs scrolling through raw Form 4 filings one at a time.
Does this compete with Capital IQ or FactSet?
Capital IQ ($15K+/year/seat) and FactSet ($12K+/year/seat) bundle institutional-finance data with company-fundamentals, screening UIs, and sell-side estimates. For an analyst whose primary workflow is corporate-finance modeling and DCFs, Capital IQ / FactSet is the right tool. The NexGenData institutional finance stack is built for the data-pipeline-and-warehouse layer underneath that workflow — programmatic 13F + 13F-delta + insider + 8-K + N-PX + N-PORT + activist + IPO + earnings ingestion into Snowflake / BigQuery / Databricks. Many funds run Capital IQ on top for the screening UI and the NexGenData stack underneath for the structured-feed layer.
How fresh is the data?
13F filings have a regulatory 45-day filing window — actor data is current within 60 minutes of EDGAR publication. Form 4 insider filings are required within 2 business days of the transaction — actor data is current within 30 minutes of EDGAR publication. 8-K material events have a 4-business-day window — actor data is current within 60 minutes. 13D/G filings have a 10-day window — actor data is current within 60 minutes. N-PX is annual (filed by August 31 for the prior June-to-July voting year) — actor pulls within 24 hours of publication. N-PORT is monthly with a 60-day public-release delay — actor pulls within 24 hours of public release. IPO calendar, earnings calendar, analyst targets, and short interest are all refreshed multiple times per day.
How fast can I get started?
Sign up for a free Apify account, get $5/month in free credits, and queue the 13F + Form 4 + 8-K trio as your first 3 actors — together they cover the bulk of event-driven and institutional-flow workflows. You will have three CSVs (13F holdings, insider trades, 8-K material events) in under 5 minutes. Layer in the 13F-delta, insider cluster, activist 13D/G, N-PX, N-PORT, IPO, earnings, analyst targets, and short-interest actors as your pipeline scope grows. Typical monthly cost for a programmatic institutional-finance pipeline: $40-200, billed pay-per-result with no commitment.
Get started
Sign up for a free Apify account at apify.com/nexgendata — $5/month in free credits lets you queue the 13F + Form 4 + 8-K trio as your first 3 actors (the backbone of event-driven and institutional-flow workflows). You will have three CSVs in under 5 minutes. Layer in 13F-delta, insider cluster, activist 13D/G, N-PX, N-PORT, IPO, earnings, analyst targets, and short interest as your pipeline scope expands. Pay-per-result means no commitment beyond what you actually use.
New — SEC Filing Monitor: get Form 4, 8-K and Schedule 13D/G as a clean, event-labeled CSV + JSON feed, every row linked to sec.gov. See plans · free sample.
Factual public data — not financial or investment advice.