# Smart Money 13F — Hedge Fund Buys, Exits & Consensus (`datasignalslab/smart-money-13f`) Actor Track what hedge funds bought, sold and exited each quarter from SEC 13F filings, plus a cross-fund consensus/conviction ranking. Not a raw holdings dump — the smart-money signal. - **URL**: https://apify.com/datasignalslab/smart-money-13f.md - **Developed by:** [DataSignals Lab](https://apify.com/datasignalslab) (community) - **Categories:** AI, Agents, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $200.00 / 1,000 filer analyzeds This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Smart Money 13F - Hedge Fund Buys, Exits & Consensus **See what hedge funds are actually buying and selling.** Give one or more fund CIK numbers and get each fund's latest quarterly moves from SEC 13F filings - **new positions, add-ons, trims and full exits** - plus a **cross-fund consensus ranking** showing which stocks the smartest money is piling into. Not a raw holdings dump: the *signal*. > Following "smart money" 13F activity - especially when **multiple funds buy the same stock** - is a widely-followed institutional-flow research approach. This Actor surfaces it automatically. **Real example (from live SEC data):** *Berkshire Hathaway last quarter - **new:** Delta Air Lines ($2.6B), Alphabet ($1B); **increased:** Alphabet +204%; **exited:** Visa, UnitedHealth, Mastercard.* ### What makes it different Existing 13F scrapers give you a static list of holdings. This Actor computes the **quarter-over-quarter change** and **cross-fund consensus**: - **New buys** - positions a fund opened this quarter. - **Increased / trimmed** - with % change in shares. - **Exits** - positions fully sold. - **Consensus & conviction** - across multiple funds, which stocks the most funds hold *and are buying* (a 0-100 conviction score). ### Who it's for - **Retail traders & quants** - a ready-made institutional-ownership dataset for research. - **Fintech & research apps** - drop hedge-fund activity into your product. - **Competitive-intelligence analysts** - track what specific funds are doing each quarter. A self-serve, pay-per-use alternative to WhaleWisdom and Quiver Quant. ### Input | Field | Type | Description | |---|---|---| | `filerCiks` | array | SEC CIK numbers of 13F filers (e.g. `1067983` = Berkshire, `1649339` = Scion/Michael Burry, `1336528` = Pershing Square). Add several for a consensus ranking. | ### Output - One **filer_activity** item per fund: latest portfolio value, holdings count, and lists of `new_buys`, `increased`, `decreased`, `exits` (issuer, value, % share change). - One **consensus** item (when ≥2 funds): per stock - how many funds hold it, how many are buying, total value, and a conviction score. - Every filer includes a `sec_url` to its 13F filings on SEC EDGAR, so you can verify in one click. ### How it works Pulls the two most recent 13F-HR filings per fund from **SEC EDGAR** (free, public, no key), parses the official Information Table XML, and diffs them quarter-over-quarter. Clean, stable source - no anti-bot, no scraping fragility. ### Pricing **Pay-per-event: per fund analyzed.** Analyzing 3 funds = 3 charges. You pay only for what you analyze. ### FAQ **How fresh is it?** 13F filings are quarterly (filed ~45 days after quarter-end); this Actor always uses the latest available filing per fund. **Where do I find a fund's CIK?** Search the fund name on the SEC EDGAR full-text search; the CIK is in the filer profile. --- *Keywords: SEC 13F, hedge fund holdings, institutional ownership, smart money, 13F tracker, hedge fund buys and sells, institutional flow, WhaleWisdom alternative, Quiver alternative, consensus stock picks, conviction, quant research data.* --- **Note:** Provided as data for research, screening and monitoring - not investment advice. Historical patterns do not guarantee future results. # Actor input Schema ## `filerCiks` (type: `array`): One or more SEC CIK numbers of 13F filers (e.g. 1067983 = Berkshire Hathaway, 1649339 = Scion/Michael Burry, 1336528 = Pershing Square). Add several to get a cross-fund consensus ranking. ## Actor input object example ```json { "filerCiks": [ "1067983", "1649339", "1336528" ] } ```` # 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 = { "filerCiks": [ "1067983", "1649339", "1336528" ] }; // Run the Actor and wait for it to finish const run = await client.actor("datasignalslab/smart-money-13f").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 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); }); // 📚 Want to learn more 📖? Go to → 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 = { "filerCiks": [ "1067983", "1649339", "1336528", ] } # Run the Actor and wait for it to finish run = client.actor("datasignalslab/smart-money-13f").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "filerCiks": [ "1067983", "1649339", "1336528" ] }' | apify call datasignalslab/smart-money-13f --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=datasignalslab/smart-money-13f", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Smart Money 13F — Hedge Fund Buys, Exits & Consensus", "description": "Track what hedge funds bought, sold and exited each quarter from SEC 13F filings, plus a cross-fund consensus/conviction ranking. Not a raw holdings dump — the smart-money signal.", "version": "0.1", "x-build-id": "M26lnIy8Ta8IxKJ3H" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/datasignalslab~smart-money-13f/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-datasignalslab-smart-money-13f", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/datasignalslab~smart-money-13f/runs": { "post": { "operationId": "runs-sync-datasignalslab-smart-money-13f", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/datasignalslab~smart-money-13f/run-sync": { "post": { "operationId": "run-sync-datasignalslab-smart-money-13f", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "filerCiks" ], "properties": { "filerCiks": { "title": "Hedge fund / filer CIKs", "type": "array", "description": "One or more SEC CIK numbers of 13F filers (e.g. 1067983 = Berkshire Hathaway, 1649339 = Scion/Michael Burry, 1336528 = Pershing Square). Add several to get a cross-fund consensus ranking.", "items": { "type": "string" } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```