# CFTC Commitment of Traders - Weekly Futures Positioning (`wiry_kingdom/cftc-cot-report-tracker`) Actor Weekly CFTC Commitment of Traders (COT) reports. Shows commercial, non-commercial (hedge fund speculator), and retail positioning in oil, gold, S\&P 500, bonds, currencies, grains futures. Free official CFTC API. For commodities traders, macro investors, FX traders, gold bugs. - **URL**: https://apify.com/wiry\_kingdom/cftc-cot-report-tracker.md - **Developed by:** [Mohieldin Mohamed](https://apify.com/wiry_kingdom) (community) - **Categories:** Business, Developer tools - **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## CFTC Commitment of Traders Tracker **Every Friday, the CFTC publishes the weekly positioning of every commercial, speculator, and retail trader in every major US futures market — from crude oil and gold to S&P 500 e-minis, Treasury bonds, bitcoin micro futures, and wheat. This actor pulls that data structured, with week-over-week deltas and signal classification, from the free CFTC API.** ### What you actually get Real gold futures positioning extracted on April 7, 2026: | Market | Open Interest | Speculator Net | Commercial Net | WoW Δ | Signal | |--------|------:|------:|------:|------:|--------| | GOLD - COMMODITY EXCHANGE | 550,487 | +153,868 | -192,465 | -6,828 | SPEC_LEANING_SHORT | | MICRO GOLD | 57,230 | -13,177 | +6,107 | -86 | SPEC_LEANING_SHORT | Each row includes: - Report date, report week, market name, commodity code - Open interest (total contracts) - **Non-commercial** (speculator / hedge fund) long, short, spread, and NET positions - **Commercial** (producer / hedger) long, short, and NET positions - **Non-reportable** (small retail) long, short, NET positions - Week-over-week changes for each category - Number of traders in each category - Computed **signal classification**: SPEC_BUILDING_LONGS, SPEC_UNWINDING_LONGS, SPEC_LEANING_LONG, SPEC_LEANING_SHORT, NEUTRAL ### Why COT data is one of the highest-ROI datasets in finance COT has been published weekly since 1962. Every macro / commodities trading desk tracks it. When speculators go to extreme net-long, that often marks a top. When commercial hedgers flip to net-long, that often marks a bottom. **Famous COT trades:** - Gold 2011 top: speculator net long peaked at +300k contracts → 5-year bear market - Oil 2020 bottom: commercial hedgers flipped to net long → 300% rally over 2 years - S&P 2022 bottom: speculator net short reached extreme → 25% rally Commercial products: - **Bloomberg Terminal** COT function: $25k/yr - **TradingView Premium**: $59.95/mo - **Barchart COT Network**: $40-400/month - **CoT Base**: $20-50/month - **MrTopStep**: paid subscription This actor delivers the same data (same source, same CFTC API) via pay-per-event pricing. ### Who this is for - **Commodities traders** — gold, silver, copper, oil, nat gas, agricultural futures - **Macro funds** — equity index futures, Treasury futures, currency positioning - **FX traders** — EUR, JPY, GBP, AUD futures as FX sentiment proxies - **Gold bugs** — weekly tracking of hedge fund gold positioning - **Crypto traders** — CFTC covers bitcoin micro + ether futures since 2021 - **Farmers / food industry** — grain, livestock futures positioning - **Quant researchers** — COT-based alpha factors are published in multiple academic papers ### How to use 1. Click **Try for free** (or **Start**) 2. Set **markets** as substring matches (e.g. `["GOLD", "WTI", "S&P 500", "BITCOIN"]`) 3. Set **sinceDate** to control lookback (empty = 90 days) 4. Set **maxReports** (default 100 rows) 5. Leave **computeDeltas: true** to get WoW deltas and signal classifications 6. Click **Start** ### Common market substring keywords | Keyword | What it matches | |---------|----------------| | `GOLD` | Gold futures (full-size + micro) | | `SILVER` | Silver futures | | `WTI` | West Texas Intermediate crude oil | | `BRENT` | Brent crude oil | | `NATURAL GAS` | Natural gas futures | | `S&P 500` | S&P 500 E-mini and micro E-mini | | `NASDAQ` | Nasdaq-100 E-mini and micro | | `RUSSELL 2000` | Russell 2000 mini | | `DOW` | Dow e-mini | | `ULTRA T-BOND` | Ultra Treasury bond | | `10-YEAR` | 10-year Treasury note futures | | `EURO FX` | EUR/USD futures | | `JAPANESE YEN` | JPY/USD futures | | `BRITISH POUND` | GBP/USD futures | | `BITCOIN` | Bitcoin futures (and micro bitcoin) | | `ETHER` | Ether futures | | `WHEAT` | Wheat futures (multiple varieties) | | `CORN` | Corn futures | | `SOYBEAN` | Soybean futures | | `LIVE CATTLE` | Live cattle futures | | `COFFEE` | Coffee futures | ### Output ```json { "reportDate": "2026-04-07", "reportWeek": "26-14", "marketName": "GOLD - COMMODITY EXCHANGE INC.", "commodityName": "GOLD", "openInterestAll": 550487, "noncommLongAll": 232500, "noncommShortAll": 78632, "noncommSpreadAll": 45230, "noncommNetAll": 153868, "commLongAll": 120050, "commShortAll": 312515, "commNetAll": -192465, "nonrepLongAll": 45280, "nonrepShortAll": 36450, "nonrepNetAll": 8830, "changeInOpenInterest": -8490, "changeNoncommLong": -4120, "changeNoncommShort": 2708, "tradersTotalAll": 295, "weekOverWeekDelta": -6828, "signal": "SPEC_LEANING_SHORT", "extractedAt": "2026-04-16T01:35:00.000Z" } ```` ### Pricing - **Actor start**: $0.05 per run - **Per report row**: $0.003 per market-week row **Example costs:** - Weekly pull of gold + oil + S\&P 500 COT data (3 markets × 4 weeks = 12 rows) → $0.09 - 6 months of all major markets (20 markets × 26 weeks = 520 rows) → $1.61 - Full CFTC COT historical pull (2015-present, ~10,000 rows) → $30 For comparison: TradingView Premium $59.95/month, Barchart COT Network $40-400/month. ### Tips - **Schedule weekly runs every Friday at 4pm ET** to catch the fresh CFTC release - **Use extreme spec net-long as contrarian sell signal** (well-documented top indicator) - **Use extreme commercial net-long as contrarian buy signal** - **Combine with the Stock Alpha Aggregator** for equity index futures: COT bearish on S\&P E-mini + bearish Form 4 insider activity = double-confirmation short - **Pipe into a quant model** — COT positioning is a well-studied alpha factor ### Source Official CFTC Socrata API: `https://publicreporting.cftc.gov/resource/jun7-fc8e.json`. Free, public, no key, no auth. CFTC Commission updates it every Friday afternoon with data through Tuesday of that week. ### License MIT. CFTC data is public domain. # Actor input Schema ## `markets` (type: `array`): Filter to specific futures markets (e.g. \['GOLD', 'WTI', 'S\&P 500', 'EURO FX', 'BITCOIN', 'WHEAT', 'SILVER']). Substring match on CFTC market names. Empty = all markets. ## `sinceDate` (type: `string`): Only return COT reports dated on or after this date. Empty = last 90 days (~12 weekly reports). ## `maxReports` (type: `integer`): Cap on COT report rows returned (one row per market per week). ## `computeDeltas` (type: `boolean`): For each market, compute the change in non-commercial (speculator) net positioning vs the previous week. Adds bullish/bearish labels. ## `proxyConfiguration` (type: `object`): Optional Apify Proxy. CFTC's API is friendly to direct access. ## Actor input object example ```json { "markets": [ "GOLD", "WTI", "S&P 500" ], "sinceDate": "", "maxReports": 100, "computeDeltas": true, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `dataset` (type: `string`): No description # 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 = { "markets": [ "GOLD", "WTI", "S&P 500" ] }; // Run the Actor and wait for it to finish const run = await client.actor("wiry_kingdom/cftc-cot-report-tracker").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 = { "markets": [ "GOLD", "WTI", "S&P 500", ] } # Run the Actor and wait for it to finish run = client.actor("wiry_kingdom/cftc-cot-report-tracker").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 '{ "markets": [ "GOLD", "WTI", "S&P 500" ] }' | apify call wiry_kingdom/cftc-cot-report-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=wiry_kingdom/cftc-cot-report-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "CFTC Commitment of Traders - Weekly Futures Positioning", "description": "Weekly CFTC Commitment of Traders (COT) reports. Shows commercial, non-commercial (hedge fund speculator), and retail positioning in oil, gold, S&P 500, bonds, currencies, grains futures. Free official CFTC API. For commodities traders, macro investors, FX traders, gold bugs.", "version": "0.1", "x-build-id": "IAndcd4OaZobnPcrQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/wiry_kingdom~cftc-cot-report-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-wiry_kingdom-cftc-cot-report-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/wiry_kingdom~cftc-cot-report-tracker/runs": { "post": { "operationId": "runs-sync-wiry_kingdom-cftc-cot-report-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/wiry_kingdom~cftc-cot-report-tracker/run-sync": { "post": { "operationId": "run-sync-wiry_kingdom-cftc-cot-report-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": { "markets": { "title": "Markets to track (substring match)", "type": "array", "description": "Filter to specific futures markets (e.g. ['GOLD', 'WTI', 'S&P 500', 'EURO FX', 'BITCOIN', 'WHEAT', 'SILVER']). Substring match on CFTC market names. Empty = all markets.", "default": [ "GOLD", "WTI" ], "items": { "type": "string" } }, "sinceDate": { "title": "Since report date (YYYY-MM-DD)", "type": "string", "description": "Only return COT reports dated on or after this date. Empty = last 90 days (~12 weekly reports).", "default": "" }, "maxReports": { "title": "Max reports returned", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Cap on COT report rows returned (one row per market per week).", "default": 100 }, "computeDeltas": { "title": "Compute week-over-week position deltas", "type": "boolean", "description": "For each market, compute the change in non-commercial (speculator) net positioning vs the previous week. Adds bullish/bearish labels.", "default": true }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional Apify Proxy. CFTC's API is friendly to direct access.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```