# πŸ‹ 13F Holdings Delta Tracker β€” Hedge-Fund Position Changes (`nexgendata/13f-holdings-delta-tracker`) Actor Track quarter-over-quarter CHANGES in institutional 13F filings. New positions, increased stakes, decreased stakes, full exits. What Buffett, Tiger Global, Bridgewater, Renaissance just bought or sold. Direct SEC EDGAR. Pay-per-delta. Bloomberg / WhaleWisdom alternative. - **URL**: https://apify.com/nexgendata/13f-holdings-delta-tracker.md - **Developed by:** [NexGenData](https://apify.com/nexgendata) (community) - **Categories:** Business, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $250.00 / 1,000 13f delta records This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## πŸ‹ 13F Holdings Delta Tracker β€” Quarterly Position Changes for Berkshire, Tiger, Bridgewater & Every Hedge Fund > **Stop reading raw 13F filings. Start reading the deltas. This actor pulls each fund's two most recent SEC Form 13F-HR filings, diffs the positions by CUSIP, and returns one clean row per new position, increased stake, reduced stake, or full exit β€” the actionable hedge-fund signal that subscriptions like WhaleWisdom Premium charge $999/year for.** When Warren Buffett's Berkshire Hathaway buys a brand-new $1.2 billion stake in Sirius XM, the raw 13F shows you 47 lines of identical Apple, Bank of America, and Coca-Cola holdings β€” same as last quarter, same as the quarter before. The **signal** is buried in those 47 lines as a single new row. The same is true for every whale: Tiger Global, Bridgewater, Renaissance, Pershing Square, Third Point, Greenlight, Appaloosa, Citadel, Point72, Coatue, Lone Pine, Viking. Each quarter their information tables run hundreds of pages β€” but the **delta** is what hedge funds, family offices, and quant shops actually pay to see. This actor does that diff for you. Point it at a single fund or a list of 50 whales, and it returns: - **NEW positions** (zero last quarter β†’ non-zero this quarter β€” the freshest conviction trade) - **INCREASED stakes** (existing position grew in shares) - **DECREASED stakes** (existing position shrunk) - **EXITED positions** (position went to zero β€” fund lost conviction or rotated) Plus a `is_top10_new` boolean β€” true when a stock vaulted into the fund's top 10 holdings this quarter (the strongest single-delta signal in 13F land). --- ### What 13F Is (And Why The Deltas Matter) Under SEC Rule 13F, **every institutional investment manager with $100 million or more in qualifying US-listed equities** must file Form 13F-HR within **45 days of each calendar quarter end**. The filing discloses every long equity position the manager held on the last day of the quarter β€” issuer name, CUSIP, share count, USD value, voting authority. The raw 13F is public, free, and useless on its own at scale. A typical mega-fund (Renaissance, Citadel, Two Sigma) files **2,000–8,000 positions per quarter**. Berkshire is unusual in its concentration β€” most quants file what looks like a paint-by-numbers replica of the Russell 3000 with a tilt. **The signal is in the diff.** When a fund: - Initiates a brand new top-20 position β†’ high-conviction fresh idea - Doubles an existing stake β†’ conviction reinforcement - Fully exits a name β†’ loss of conviction - Vaults a new name into the top 10 β†’ multi-hundred-million capital commitment These are the moves the Sohn Conference talks, the Berkshire fan-club newsletters, and the Robinhood trades-of-the-day react to within 24 hours of every 45-day filing window. --- ### Output Schema Each dataset item is **one stock-level position delta** for one fund-quarter: | Field | Type | Example | |---|---|---| | `filer_name` | `str` | `BERKSHIRE HATHAWAY INC` | | `filer_cik` | `str` | `0001067983` | | `period_of_report` | `str` | `2025-12-31` | | `prior_period_of_report` | `str` | `2025-09-30` | | `symbol` | `str \| null` | `AAPL` (best-effort CUSIPβ†’ticker lookup) | | `company_name` | `str` | `APPLE INC` | | `title_of_class` | `str` | `COM` | | `cusip` | `str` | `037833100` | | `delta_type` | `enum` | `NEW` / `INCREASED` / `DECREASED` / `EXITED` | | `shares_current` | `int` | `300000000` | | `shares_prior` | `int` | `400000000` | | `shares_change` | `int` | `-100000000` (signed) | | `pct_change` | `float \| null` | `-25.0` (null for NEW β€” undefined %) | | `value_usd_current` | `int` | `72000000000` | | `value_usd_prior` | `int` | `92000000000` | | `value_usd_change` | `int` | `-20000000000` | | `pct_of_portfolio_current` | `float` | `21.5` | | `is_new_position` | `bool` | `false` | | `is_full_exit` | `bool` | `false` | | `is_top10_new` | `bool` | `false` (entered top 10 this quarter) | | `filing_url` | `str` | `https://www.sec.gov/Archives/edgar/data/.../infotable.xml` | | `data_source` | `str` | `sec.gov EDGAR 13F-HR` | --- ### Input Filters | Filter | Type | Description | |---|---|---| | `fund_names` | array | Case-insensitive substring match against EDGAR filer names. Defaults to `["Berkshire Hathaway", "Tiger Global"]`. | | `fund_ciks` | array | Exact 10-digit CIK lookups for ambiguous filer names. | | `delta_types` | array | Subset of `NEW`/`INCREASED`/`DECREASED`/`EXITED`. Defaults to `["NEW","INCREASED"]`. | | `min_value_usd` | int | Skip deltas under this USD position size. | | `min_shares_change_pct` | int | Skip INCREASED/DECREASED where abs(% change) < this. NEW/EXITED always pass. | | `limit` | int (1–2000) | Max delta records to return. | | `include_top10_flag` | bool | Compute the `is_top10_new` boolean (true = entered top 10 this quarter). | --- ### Use Cases #### 1. Hedge Funds & Quant Shops β€” Clone Strategies Build a long-only basket that buys every NEW position the top 20 whales initiate above $50M. Backtests of "whale-clone" portfolios have shown 2–4% annualized alpha vs the S&P 500 over the last 15 years (with a 45-day lag from the filing date β€” the strategy isn't dead, but it's not free money either). #### 2. Family Offices & RIAs β€” "What Did Buffett Just Buy?" Run the actor weekly with `fund_names: ["Berkshire Hathaway"]` and email any NEW positions or top-10 entries to your investment committee. The Sohn-conference idea-of-the-day, but automated. #### 3. Activists & M&A Bankers β€” Concentration Detection Watch for INCREASED stakes by known activists (Icahn, Ackman, Loeb, Trian, Engaged Capital, JANA, Starboard) β€” these often precede public 13D/G campaigns by weeks. #### 4. Single-Stock Conviction Tracking Filter by `delta_types: ["EXITED"]` to see which whales are quietly selling a name you own. EXITED-by-3-whales-in-one-quarter is a strong "they know something" signal worth investigating. #### 5. Retail Smart-Money Followers The TikTok / r/wallstreetbets "Buffett bought X" hype cycle peaks 2–4 hours after each filing window. Run this actor at 4:01pm ET on the 45-day-from-quarter-end deadline date and you're ahead of 99% of retail. --- ### Comparison vs Bloomberg / WhaleWisdom Premium / HedgeFollow Pro / Backtrader / FactSet | Capability | This Actor | Bloomberg Terminal | WhaleWisdom Premium | HedgeFollow Pro | Backtrader / Custom | FactSet | |---|---|---|---|---|---|---| | Quarterly position deltas (NEW/INCR/DECR/EXIT) | βœ… | βœ… | βœ… | βœ… | ⚠ DIY | βœ… | | Top-10 entry flag | βœ… | ⚠ manual | βœ… | ⚠ partial | ❌ | βœ… | | Full SEC filing URL per row | βœ… | ⚠ separate | ❌ | ⚠ link only | ⚠ DIY | ⚠ separate | | CUSIP-level diff (not just ticker) | βœ… | βœ… | ⚠ ticker-only | ⚠ ticker-only | ⚠ DIY | βœ… | | % portfolio weight current | βœ… | βœ… | βœ… | βœ… | ⚠ DIY | βœ… | | 50-whale curated default list | βœ… | ❌ | βœ… | βœ… | ❌ | ❌ | | API / programmatic access | βœ… | βœ… ($24K/yr) | βœ… ($999/yr) | βœ… ($249/yr) | ⚠ self-host | βœ… ($30K/yr) | | Anti-bot risk | None (direct SEC) | n/a | High (aggregator) | High (aggregator) | n/a | n/a | | Data source | SEC EDGAR official | proprietary | aggregator | aggregator | SEC EDGAR | proprietary | | Pay-per-result pricing | βœ… $0.25/delta | ❌ flat | ❌ flat | ❌ flat | ❌ infra cost | ❌ flat | | Annual cost @ 500 deltas/yr | **$125** | $24,000+ | $999 | $249 | $0 + dev time | $30,000+ | **Bottom line:** if you want the actionable delta β€” not the raw 47-row filing β€” at the price of a couple of coffees per quarter, this is the cheapest path. WhaleWisdom and HedgeFollow do this too but their aggregator-based pipelines are anti-bot-fragile; we hit SEC EDGAR directly (the source of truth) so the data is unblockable. --- ### Example Output ```json { "filer_name": "BERKSHIRE HATHAWAY INC", "filer_cik": "0001067983", "period_of_report": "2025-12-31", "prior_period_of_report": "2025-09-30", "symbol": "SIRI", "company_name": "SIRIUS XM HLDGS INC", "title_of_class": "COM", "cusip": "82968B103", "delta_type": "NEW", "shares_current": 132311566, "shares_prior": 0, "shares_change": 132311566, "pct_change": null, "value_usd_current": 1180000000, "value_usd_prior": 0, "value_usd_change": 1180000000, "pct_of_portfolio_current": 0.41, "is_new_position": true, "is_full_exit": false, "is_top10_new": false, "filing_url": "https://www.sec.gov/Archives/edgar/data/1067983/000119312526054580/50240.xml", "data_source": "sec.gov EDGAR 13F-HR (official, free)" } ```` *** ### Quickstart #### Apify Console 1. Click **Start** on the actor page. 2. Set `fund_names: ["Berkshire Hathaway", "Tiger Global"]`, `delta_types: ["NEW","INCREASED"]`, `limit: 5`. 3. Hit Run. Results appear in ~30 seconds. #### cURL ```bash curl -X POST "https://api.apify.com/v2/acts/nexgendata~13f-holdings-delta-tracker/run-sync-get-dataset-items?token=YOUR_TOKEN" \ -H "Content-Type: application/json" \ -d '{"fund_names": ["Berkshire Hathaway"], "delta_types": ["NEW","INCREASED"], "limit": 20}' ``` #### Python SDK ```python from apify_client import ApifyClient client = ApifyClient("YOUR_TOKEN") run = client.actor("nexgendata/13f-holdings-delta-tracker").call(run_input={ "fund_names": ["Berkshire Hathaway", "Tiger Global", "Pershing Square"], "delta_types": ["NEW", "INCREASED"], "min_value_usd": 10000000, "limit": 100, }) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(f"{item['filer_name']}: {item['delta_type']} " f"{item['company_name']} (${item['value_usd_current']:,})") ``` *** ### Pricing **$0.25 per delta record returned**, plus **$0.01 per actor start**. - Smoke test (5 deltas): **$1.26** - Weekly whale-monitor (50 deltas): **$12.51/week**, ~$650/year - Quarterly mega-pull (500 deltas across 50 whales): **$125.01/quarter**, ~$500/year Compare to: WhaleWisdom Premium ($999/year flat), HedgeFollow Pro ($249/year, limited), Bloomberg Terminal ($24K+/year). The premium $0.25/record reflects that each delta record is high-value hedge-fund signal β€” not just raw filing data β€” and that the actor pre-computes the top-10-entry flag, % portfolio weight, and signed share change so you don't have to. *** ### How It Works **Primary data source:** SEC EDGAR (`data.sec.gov/submissions/` + `www.sec.gov/Archives/edgar/data/`) β€” official, free, JSON+XML, no anti-bot. **Pipeline per fund:** 1. Resolve fund\_name β†’ CIK via curated 50-fund whale list, or accept exact CIKs. 2. Fetch the fund's EDGAR submissions JSON. 3. Identify the two most recent 13F-HR accession numbers. 4. Fetch each filing's information-table XML (the structured holdings list). 5. Parse + aggregate by CUSIP (a fund can hold multiple lots of the same CUSIP under different voting/discretion classifications). 6. Auto-normalize value fields (post-2022 files report USD; pre-2022 reported thousands). 7. Diff the two CUSIP sets β†’ emit one record per non-zero delta. 8. Rank: NEW first, then by absolute USD change desc. **No aggregator dependency.** Unlike WhaleWisdom or HedgeFollow, we don't rely on a third-party that can ban our IP or break their HTML. SEC EDGAR is the source of truth β€” it cannot rate-limit us beyond ~10 req/sec, which we already throttle below. *** ### FAQ **Q: Why only US-listed equities?** A: Form 13F is a US-only filing. Non-US institutional disclosures (UK FCA, ESMA, Japan TOSHO) follow different rules with different fields. For non-US: see the Schedule 13D/G Activist Tracker for cross-border activist stakes. **Q: Are short positions or derivatives included?** A: No. 13F is long-equity-only by SEC design. Short positions are not disclosed publicly; option positions (puts/calls) are filtered out by this actor because their delta signal is too noisy to be useful (most are hedges, not directional bets). **Q: How do you handle 13F amendments (13F-HR/A)?** A: We pull only the original 13F-HR filings (the as-of-quarter-end snapshot). Amendments are rare and usually correct minor CUSIP typos. If a fund frequently amends, consider running with their CIK and dialing `min_value_usd` higher. **Q: What's the lag between quarter end and filing?** A: Up to 45 days. Most mega-funds file on day 44 (the deadline). Berkshire is famously last (typically files at 4:01pm ET on day 45). The actor will surface deltas as soon as both quarter filings exist in EDGAR. **Q: Can I monitor a fund whose CIK I don't know?** A: Yes β€” pass `fund_names: ["Some Manager"]`. We match substring against the curated whale list. If your fund isn't in the list, supply the CIK directly via `fund_ciks: ["XXXXXXXXXX"]`. Look up CIKs at https://www.sec.gov/cgi-bin/browse-edgar. **Q: How current is the curated whale list?** A: Updated quarterly with the 50 highest-AUM US-equity institutional managers tracked by the major hedge-fund-follower communities (Sohn, Tiger Cubs, activist crowd, value crowd, quant crowd). *** ### Related Actors β€” Build A Full Smart-Money Stack | Actor | What It Does | |---|---| | [SEC Form 13F Holdings Tracker](https://apify.com/nexgendata/sec-form-13f-holdings-tracker) | Raw quarterly 13F filings (all positions, not just deltas) β€” the upstream cousin to this actor. | | [SEC Form 4 Insider Trading Tracker](https://apify.com/nexgendata/sec-form4-insider-tracker) | CEO/CFO/Director buys & sells with cluster-buy detection (2-day filing window). | | [SEC Schedule 13D/G Activist Tracker](https://apify.com/nexgendata/sec-schedule-13dg-activist-tracker) | 5%+ ownership stakes by activists (Icahn, Ackman, Loeb, JANA). | | [Short Interest Tracker](https://apify.com/nexgendata/short-interest-tracker) | Bi-monthly short-interest data β€” pair with EXITED deltas for "smart money + shorts" conviction screens. | | [Startup Funding Tracker](https://apify.com/nexgendata/startup-funding-tracker) | Private-market raises β€” see when fund whales are deploying capital into pre-IPO names. | | [Finance MCP Server](https://apify.com/nexgendata/finance-mcp-server) | LLM-ready finance data β€” give Claude / GPT access to whale flows, fundamentals, charts. | *** ### Disclaimer This actor returns **public SEC Form 13F-HR filing data** sourced directly from SEC EDGAR. All positions are filed by the institutional managers themselves under SEC regulation; we add the quarter-over-quarter diff computation, the top-10-entry flag, and the % portfolio weight. **This is not investment advice.** 13F filings are reported with up to a 45-day lag β€” the fund may have already changed its position before the deltas reach you. Past performance does not predict future results. *** ### Affiliate / Referral Like this actor? **Sign up for Apify with our referral link** to support more builds like this one: [**https://apify.com/nexgendata?fpr=2ayu9b**](https://apify.com/nexgendata?fpr=2ayu9b) You get the same free tier; we get a small commission. No price difference for you. # Actor input Schema ## `fund_names` (type: `array`): List of fund / institutional manager names to track. Matches case-insensitive substring against the SEC EDGAR 13F filer name. Examples: 'Berkshire Hathaway' (Warren Buffett), 'Tiger Global', 'Bridgewater', 'Renaissance Technologies', 'Pershing Square' (Ackman), 'Third Point' (Loeb), 'Greenlight' (Einhorn), 'Appaloosa' (Tepper), 'Citadel', 'Point72' (Cohen), 'Coatue', 'Lone Pine'. Leave empty and use fund\_ciks for exact-match lookups, or leave both empty to use the curated 50-fund whale list. ## `fund_ciks` (type: `array`): List of SEC CIK numbers for exact-match fund lookups. CIK is the SEC's permanent identifier for every registered filer. Examples: 0001067983 (Berkshire Hathaway), 0001167483 (Tiger Global Management), 0001350694 (Bridgewater Associates), 0001037389 (Renaissance Technologies), 0001336528 (Pershing Square), 0001040273 (Third Point), 0001079114 (Greenlight Capital). Use this when fund\_names is ambiguous or the manager has multiple entities. Look up CIKs at https://www.sec.gov/cgi-bin/browse-edgar. ## `delta_types` (type: `array`): Which categories of position changes to include. NEW = position went from zero last quarter to non-zero this quarter (highest-signal β€” fresh conviction trade). INCREASED = existing position grew in share count. DECREASED = existing position shrunk. EXITED = position went to zero (full exit, also high-signal β€” fund lost conviction or rotated). Most quant signal portfolios use only NEW + INCREASED. ## `min_value_usd` (type: `integer`): Skip delta records where the current-quarter position value is below this threshold. Filters out trivial $1K rebalances. Common thresholds: $1,000,000 (material trades only), $10,000,000 (top-50 holdings for mega-funds), $100,000,000 (mega-cap conviction trades β€” Berkshire-tier signals). Leave at 0 to include every delta no matter how small. ## `min_shares_change_pct` (type: `integer`): For INCREASED and DECREASED deltas only β€” require the absolute percentage change in share count to exceed this threshold. Filters out routine 1-2% rebalances. Recommended: 10 (material rebalance), 25 (meaningful conviction shift), 50 (high-conviction add/trim). NEW and EXITED records always pass (infinite/full %). Leave at 0 for no filter. ## `limit` (type: `integer`): Maximum number of delta records to push to the dataset (one row per stock-level position change per fund). Typical hedge-fund-tracker analysts pull 50–200 deltas per refresh β€” that's the top conviction moves across the whale list. Heavy backtesters pull 1000+. Each delta record is a pay-per-result charge of $0.25. ## `include_top10_flag` (type: `boolean`): If true, compute the boolean is\_top10\_new flag for each NEW / INCREASED delta β€” true means the stock entered the fund's top 10 portfolio positions this quarter (by USD value). This is the strongest single-delta signal β€” when a mega-fund vaults a new name into the top 10 it usually means a multi-billion-dollar capital commitment. Set to false to skip the extra computation if you only need raw deltas. ## Actor input object example ```json { "fund_names": [ "Berkshire Hathaway", "Tiger Global" ], "fund_ciks": [], "delta_types": [ "NEW", "INCREASED" ], "min_value_usd": 1000000, "min_shares_change_pct": 10, "limit": 5, "include_top10_flag": true } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "fund_names": [ "Berkshire Hathaway", "Tiger Global" ], "fund_ciks": [], "delta_types": [ "NEW", "INCREASED" ], "min_value_usd": 1000000, "min_shares_change_pct": 10, "limit": 5, "include_top10_flag": true }; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/13f-holdings-delta-tracker").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "fund_names": [ "Berkshire Hathaway", "Tiger Global", ], "fund_ciks": [], "delta_types": [ "NEW", "INCREASED", ], "min_value_usd": 1000000, "min_shares_change_pct": 10, "limit": 5, "include_top10_flag": True, } # Run the Actor and wait for it to finish run = client.actor("nexgendata/13f-holdings-delta-tracker").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "fund_names": [ "Berkshire Hathaway", "Tiger Global" ], "fund_ciks": [], "delta_types": [ "NEW", "INCREASED" ], "min_value_usd": 1000000, "min_shares_change_pct": 10, "limit": 5, "include_top10_flag": true }' | apify call nexgendata/13f-holdings-delta-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgendata/13f-holdings-delta-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "πŸ‹ 13F Holdings Delta Tracker β€” Hedge-Fund Position Changes", "description": "Track quarter-over-quarter CHANGES in institutional 13F filings. New positions, increased stakes, decreased stakes, full exits. What Buffett, Tiger Global, Bridgewater, Renaissance just bought or sold. Direct SEC EDGAR. Pay-per-delta. Bloomberg / WhaleWisdom alternative.", "version": "0.0", "x-build-id": "f3lQXcyvt5jBflBLB" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~13f-holdings-delta-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-13f-holdings-delta-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nexgendata~13f-holdings-delta-tracker/runs": { "post": { "operationId": "runs-sync-nexgendata-13f-holdings-delta-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nexgendata~13f-holdings-delta-tracker/run-sync": { "post": { "operationId": "run-sync-nexgendata-13f-holdings-delta-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "fund_names": { "title": "Fund names to track", "type": "array", "description": "List of fund / institutional manager names to track. Matches case-insensitive substring against the SEC EDGAR 13F filer name. Examples: 'Berkshire Hathaway' (Warren Buffett), 'Tiger Global', 'Bridgewater', 'Renaissance Technologies', 'Pershing Square' (Ackman), 'Third Point' (Loeb), 'Greenlight' (Einhorn), 'Appaloosa' (Tepper), 'Citadel', 'Point72' (Cohen), 'Coatue', 'Lone Pine'. Leave empty and use fund_ciks for exact-match lookups, or leave both empty to use the curated 50-fund whale list.", "default": [], "items": { "type": "string" } }, "fund_ciks": { "title": "Fund CIKs (exact match)", "type": "array", "description": "List of SEC CIK numbers for exact-match fund lookups. CIK is the SEC's permanent identifier for every registered filer. Examples: 0001067983 (Berkshire Hathaway), 0001167483 (Tiger Global Management), 0001350694 (Bridgewater Associates), 0001037389 (Renaissance Technologies), 0001336528 (Pershing Square), 0001040273 (Third Point), 0001079114 (Greenlight Capital). Use this when fund_names is ambiguous or the manager has multiple entities. Look up CIKs at https://www.sec.gov/cgi-bin/browse-edgar.", "default": [], "items": { "type": "string" } }, "delta_types": { "title": "Delta types to include", "type": "array", "description": "Which categories of position changes to include. NEW = position went from zero last quarter to non-zero this quarter (highest-signal β€” fresh conviction trade). INCREASED = existing position grew in share count. DECREASED = existing position shrunk. EXITED = position went to zero (full exit, also high-signal β€” fund lost conviction or rotated). Most quant signal portfolios use only NEW + INCREASED.", "default": [ "NEW", "INCREASED", "DECREASED", "EXITED" ], "items": { "type": "string" } }, "min_value_usd": { "title": "Minimum position value (USD)", "minimum": 0, "maximum": 10000000000, "type": "integer", "description": "Skip delta records where the current-quarter position value is below this threshold. Filters out trivial $1K rebalances. Common thresholds: $1,000,000 (material trades only), $10,000,000 (top-50 holdings for mega-funds), $100,000,000 (mega-cap conviction trades β€” Berkshire-tier signals). Leave at 0 to include every delta no matter how small.", "default": 0 }, "min_shares_change_pct": { "title": "Minimum % share change", "minimum": 0, "maximum": 1000, "type": "integer", "description": "For INCREASED and DECREASED deltas only β€” require the absolute percentage change in share count to exceed this threshold. Filters out routine 1-2% rebalances. Recommended: 10 (material rebalance), 25 (meaningful conviction shift), 50 (high-conviction add/trim). NEW and EXITED records always pass (infinite/full %). Leave at 0 for no filter.", "default": 0 }, "limit": { "title": "Max delta records to return", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Maximum number of delta records to push to the dataset (one row per stock-level position change per fund). 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