# Prop Firm Rules Monitor — FTMO, FundedNext & The5ers (`nick.i/prop-firm-rules-monitor`) Actor Tracks prop-firm evaluation rules (profit target, max daily loss, min trading days) from official pages and flags every change between runs. Live: FTMO 1-Step + 2-Step, FundedNext, The5ers — 15 rules total. Schedule daily to catch silent rule changes. - **URL**: https://apify.com/nick.i/prop-firm-rules-monitor.md - **Developed by:** [Nick Illig](https://apify.com/nick.i) (community) - **Categories:** Business, News - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Prop Firm Rules Monitor — FTMO, FundedNext & The5ers Rule Tracker Scrapes **official public rule pages of prop-trading firms** and turns them into structured data — with built-in **change detection** between runs. ### Why Prop firms adjust their evaluation rules (profit targets, daily loss limits, minimum trading days, consistency rules) more often than most traders realize, and rarely announce it loudly. If you trade challenges, run a comparison site, write a trading newsletter or build tooling for prop traders, you want to know **the day a rule changes** — not weeks later. ### What you get One dataset item per rule section: | Field | Example | |---|---| | `firm` / `program` | `FTMO` / `2-Step` | | `rule` | `Max Daily Loss` | | `percentValues` | `[5.0]` | | `dayValues` | `[4]` (minimum trading days, where applicable) | | `evidence` | first 400 chars of the official rule text | | `sourceUrl` | deep link to the exact section | | `changed` | `true` if values differ from the previous run | | `previousValues` | the old values when `changed` is true | ### Change detection The Actor stores a normalized snapshot in its key-value store and compares on every run. **Schedule it daily** and combine with Apify integrations (email, Slack, webhook) filtered on `changed: true` to get real rule-change alerts. ### Coverage - **FTMO** (1-Step and 2-Step programs) — live, 8 rules, anchor-based extraction from the official Trading Objectives page - **FundedNext** — live - **The5ers** — live - **FundingPips** — included as a best-effort module (the official site sits behind aggressive bot protection; the Actor degrades gracefully and keeps the other firms unaffected when it is blocked) - More firms (E8, Alpha Capital) planned; the Actor is built as one isolated module per firm, so a layout change at one firm never breaks the others. ### Fair use Reads official public rule pages only, one polite request per firm per run, no login, no personal data. Always verify rules on the firm's official page before trading — this Actor links the exact source section for every item. # Actor input Schema ## `firms` (type: `array`): Which firms to scrape (supported: ftmo, fundednext, the5ers, fundingpips) ## `detectChanges` (type: `boolean`): Compare with the previous snapshot (stored in the key-value store) and flag changed rules ## `proxyConfiguration` (type: `object`): Proxy settings; Apify proxy is recommended ## Actor input object example ```json { "firms": [ "ftmo", "fundednext", "the5ers", "fundingpips" ], "detectChanges": true, "proxyConfiguration": { "useApifyProxy": 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 = { "firms": [ "ftmo", "fundednext", "the5ers", "fundingpips" ], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("nick.i/prop-firm-rules-monitor").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 = { "firms": [ "ftmo", "fundednext", "the5ers", "fundingpips", ], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("nick.i/prop-firm-rules-monitor").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 '{ "firms": [ "ftmo", "fundednext", "the5ers", "fundingpips" ], "proxyConfiguration": { "useApifyProxy": true } }' | apify call nick.i/prop-firm-rules-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nick.i/prop-firm-rules-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Prop Firm Rules Monitor — FTMO, FundedNext & The5ers", "description": "Tracks prop-firm evaluation rules (profit target, max daily loss, min trading days) from official pages and flags every change between runs. Live: FTMO 1-Step + 2-Step, FundedNext, The5ers — 15 rules total. Schedule daily to catch silent rule changes.", "version": "0.2", "x-build-id": "MuPrIsCQUNGPlySoK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nick.i~prop-firm-rules-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nick.i-prop-firm-rules-monitor", "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/nick.i~prop-firm-rules-monitor/runs": { "post": { "operationId": "runs-sync-nick.i-prop-firm-rules-monitor", "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/nick.i~prop-firm-rules-monitor/run-sync": { "post": { "operationId": "run-sync-nick.i-prop-firm-rules-monitor", "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": { "firms": { "title": "Firms", "type": "array", "description": "Which firms to scrape (supported: ftmo, fundednext, the5ers, fundingpips)", "default": [ "ftmo", "fundednext", "the5ers", "fundingpips" ], "items": { "type": "string" } }, "detectChanges": { "title": "Detect changes vs. last run", "type": "boolean", "description": "Compare with the previous snapshot (stored in the key-value store) and flag changed rules", "default": true }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings; Apify proxy is recommended", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```