# Stelar Crypto Signals — regime, sentiment, price, risk (`stelardigital/stelar-crypto-signals`) Actor Crypto market regime, sentiment, price, and volatility-risk signals for SOL, XLM, BTC, ETH, XRP, DOGE, LTC, ADA — powered by the same classifier that steers Stelar Digital's live production grid-trading bot. Includes a market\_brief bundle mode that merges regime+sentiment+price+risk in one call. - **URL**: https://apify.com/stelardigital/stelar-crypto-signals.md - **Developed by:** [Robert Dainowski](https://apify.com/stelardigital) (community) - **Categories:** AI, Agents - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $20.00 / 1,000 tool calls 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 ## Stelar Crypto Signals Crypto market-signal tools for agents and pipelines, powered by the same classifier that steers Stelar Digital's live production grid-trading bot. Covers SOL, XLM, BTC, ETH, XRP, DOGE, LTC, ADA. ### Tools (`tool` input field) | tool | what it returns | |---|---| | `market_brief` (default) | bundle: regime + sentiment + price + volatility-risk in one call | | `regime` | market regime (chop / trend_up / trend_down / high_vol) + grid-suitability verdict | | `sentiment` | -1..+1 sentiment score + bullish/neutral/bearish label, from recent price action | | `pricecheck` | current price, 24h/7d % change, bullish/bearish/neutral signal | | `token_risk` | volatility / drawdown risk regime (low/med/high) vs 30-day baseline | ### Input ```json { "tool": "market_brief", "symbol": "BTC" } ```` `symbol` is one of: SOL, XLM, BTC, ETH, XRP, DOGE, LTC, ADA. ### Output One row is pushed to the default dataset: ```json { "tool": "market_brief", "symbol": "BTC", "result": { ... }, "source": "https://stelardigital.com?src=apify" } ``` ### Pricing Pay-per-event: one `tool-call` event is charged per Actor run (the `market_brief` bundle fans out to 4 origin calls internally but is still a single charged event). Exact price is set at publish time in the Apify Console — see `README-PUBLISH.txt`. ### About Stelar Digital Built and maintained by Stelar Digital — the same signal engine also powers a live production grid-trading bot, a RapidAPI listing, and an MCP server. More at https://stelardigital.com?src=apify. ### Running locally Requires a `STELAR_PROXY_SECRET` environment variable (Stelar Digital's origin proxy secret — internal use only, never shared publicly): ```bash STELAR_PROXY_SECRET=*** node main.js ``` Input is read via `Actor.getInput()` (Apify's local `INPUT_VALUE` / `apify run` convention) — see `README-PUBLISH.txt` for the exact local test invocation used during development. # Actor input Schema ## `tool` (type: `string`): Which signal to fetch. market\_brief bundles regime+sentiment+pricecheck+token\_risk in one call. ## `symbol` (type: `string`): Asset symbol: one of SOL, XLM, BTC, ETH, XRP, DOGE, LTC, ADA. ## Actor input object example ```json { "tool": "market_brief", "symbol": "BTC" } ``` # 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("stelardigital/stelar-crypto-signals").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("stelardigital/stelar-crypto-signals").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 stelardigital/stelar-crypto-signals --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=stelardigital/stelar-crypto-signals", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Stelar Crypto Signals — regime, sentiment, price, risk", "description": "Crypto market regime, sentiment, price, and volatility-risk signals for SOL, XLM, BTC, ETH, XRP, DOGE, LTC, ADA — powered by the same classifier that steers Stelar Digital's live production grid-trading bot. Includes a market_brief bundle mode that merges regime+sentiment+price+risk in one call.", "version": "0.1", "x-build-id": "26fXaQoDSXV6DwlvJ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/stelardigital~stelar-crypto-signals/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-stelardigital-stelar-crypto-signals", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/stelardigital~stelar-crypto-signals/runs": { "post": { "operationId": "runs-sync-stelardigital-stelar-crypto-signals", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/stelardigital~stelar-crypto-signals/run-sync": { "post": { "operationId": "run-sync-stelardigital-stelar-crypto-signals", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "tool", "symbol" ], "properties": { "tool": { "title": "Tool", "enum": [ "market_brief", "regime", "sentiment", "pricecheck", "token_risk" ], "type": "string", "description": "Which signal to fetch. market_brief bundles regime+sentiment+pricecheck+token_risk in one call.", "default": "market_brief" }, "symbol": { "title": "Symbol", "type": "string", "description": "Asset symbol: one of SOL, XLM, BTC, ETH, XRP, DOGE, LTC, ADA.", "default": "BTC" } } }, "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 } } } } } } } } } } ```