# Crypto Volatility Scanner (ATR, Bollinger Bands, Realized Vol) (`gochujang/crypto-volatility-scanner`) Actor Calculates volatility indicators for crypto assets: realized volatility (7d/30d annualized), ATR-14, Bollinger Bands (width, %B), and volatility regime classification. Uses CoinGecko OHLC data. No API key. $0.002/coin. - **URL**: https://apify.com/gochujang/crypto-volatility-scanner.md - **Developed by:** [Hojun Lee](https://apify.com/gochujang) (community) - **Categories:** Developer tools, Automation, 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Crypto Volatility Scanner > Calculate ATR, Bollinger Bands, and realized volatility for crypto assets. Filter by volatility regime (low/moderate/elevated/high/extreme). CoinGecko OHLC data, no API key required. --- ### What It Does Fetches 30-day OHLC (open-high-low-close) price data from CoinGecko and computes key volatility indicators for each asset. Useful for options traders, risk managers, and portfolio managers. **Default coins:** BTC, ETH, SOL, BNB, XRP, ADA, AVAX, DOGE, LINK, UNI --- ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `coins` | object[] | 10 defaults | Additional coins `{id: "coingecko-id", symbol: "TICKER"}` | | `sortBy` | string | `rv_30d_pct` | Sort metric: `rv_30d_pct`, `rv_7d_pct`, `atr_14_pct`, `bb_width_pct` | | `volRegime` | string | `""` (all) | Filter by regime: `low`, `moderate`, `elevated`, `high`, `extreme` | | `limit` | number | `50` | Max results | --- ### Output | Field | Description | |-------|-------------| | `rv_7d_pct` | 7-day realized volatility, annualized (%) | | `rv_30d_pct` | 30-day realized volatility, annualized (%) | | `atr_14` | 14-period ATR in USD | | `atr_14_pct` | ATR as % of current price | | `bb_middle` | Bollinger Band 20-period SMA | | `bb_upper` / `bb_lower` | Upper/lower Bollinger Bands (2 std) | | `bb_width_pct` | Band width as % of middle (volatility expansion signal) | | `bb_pct_b` | %B position: 0 = at lower band, 1 = at upper band | | `vol_regime` | Regime classification | **Volatility regimes:** low (<15%), moderate (15-30%), elevated (30-60%), high (60-100%), extreme (>100%) --- ### Pricing **$0.002 per coin analyzed.** Default 10 coins = $0.02/run. # Actor input Schema ## `coins` (type: `array`): Additional coins to analyze. Each item needs: {id: 'coingecko-id', symbol: 'TICKER'}. Defaults include BTC, ETH, SOL, BNB, XRP, ADA, AVAX, DOGE, LINK, UNI. ## `sortBy` (type: `string`): Sort output by this metric (descending). ## `volRegime` (type: `string`): Only return coins matching this volatility regime. ## `limit` (type: `integer`): Maximum number of results. ## Actor input object example ```json { "coins": [], "sortBy": "rv_30d_pct", "volRegime": "", "limit": 50 } ```` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("gochujang/crypto-volatility-scanner").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = {} # Run the Actor and wait for it to finish run = client.actor("gochujang/crypto-volatility-scanner").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 '{}' | apify call gochujang/crypto-volatility-scanner --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=gochujang/crypto-volatility-scanner", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Crypto Volatility Scanner (ATR, Bollinger Bands, Realized Vol)", "description": "Calculates volatility indicators for crypto assets: realized volatility (7d/30d annualized), ATR-14, Bollinger Bands (width, %B), and volatility regime classification. Uses CoinGecko OHLC data. No API key. $0.002/coin.", "version": "0.1", "x-build-id": "bxFl0bNcv3SXCG4Tf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/gochujang~crypto-volatility-scanner/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-gochujang-crypto-volatility-scanner", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/gochujang~crypto-volatility-scanner/runs": { "post": { "operationId": "runs-sync-gochujang-crypto-volatility-scanner", "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/gochujang~crypto-volatility-scanner/run-sync": { "post": { "operationId": "run-sync-gochujang-crypto-volatility-scanner", "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": { "coins": { "title": "Custom Coins", "type": "array", "description": "Additional coins to analyze. Each item needs: {id: 'coingecko-id', symbol: 'TICKER'}. Defaults include BTC, ETH, SOL, BNB, XRP, ADA, AVAX, DOGE, LINK, UNI.", "items": { "type": "object" }, "default": [] }, "sortBy": { "title": "Sort By", "enum": [ "rv_30d_pct", "rv_7d_pct", "atr_14_pct", "bb_width_pct", "current_price" ], "type": "string", "description": "Sort output by this metric (descending).", "default": "rv_30d_pct" }, "volRegime": { "title": "Volatility Regime Filter", "enum": [ "", "extreme", "high", "elevated", "moderate", "low" ], "type": "string", "description": "Only return coins matching this volatility regime.", "default": "" }, "limit": { "title": "Max Results", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of results.", "default": 50 } } }, "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 } } } } } } } } } } ```