# Crypto Alpha Dashboard — All-in-One Macro + DeFi Signals (`gochujang/crypto-alpha-dashboard`) Actor Single-call meta-dashboard: stablecoin global mint/burn, top 5 L2 by TVL, Hyperliquid funding extremes, 2s10s spread + inversion flag, this week high-impact macro events (FOMC/CPI/NFP). Replaces 5-8 separate actor calls. $0.05 per run. - **URL**: https://apify.com/gochujang/crypto-alpha-dashboard.md - **Developed by:** [Hojun Lee](https://apify.com/gochujang) (community) - **Categories:** Developer tools, Automation, Other - **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 ## Crypto Alpha Dashboard > **One actor call. Five top signals.** Stablecoin global flows + L2 TVL ranking + Hyperliquid funding extremes + Treasury yield curve + macro events. **$0.05 per run.** --- ### Why this exists A serious crypto trader watches 5-10 indicators in parallel: - Is stablecoin supply growing or shrinking? - Where are funds rotating between L2s? - Which perp pairs have crazy funding (arb opportunity)? - Is the yield curve inverted? - Are there macro events today that will move price? Running our 5 individual trackers separately means 5 API calls, 5 datasets, 5 result merges. This dashboard collapses it into **one call, one dataset, one summary row** — for less than the cost of two cups of coffee per day on hourly schedule. --- ### What you get #### Summary row (one per run) ```json { "_type": "summary", "fetched_at": "2026-06-10T02:15:00+00:00", "sections_run": ["stablecoin","l2","hl_funding","treasury","econ"], "stablecoin_total_supply_usd": 245820341200.0, "stablecoin_delta_24h_usd": -310250000.0, "stablecoin_delta_24h_pct": -0.1262, "stablecoin_signal": "neutral", "hl_top_positive_funding": [ {"coin":"WIF","funding_apr_pct":42.5,"oi_usd":3120000,"mark_price":2.45} ], "hl_top_negative_funding": [ {"coin":"SOL","funding_apr_pct":-12.6,"oi_usd":262091800,"mark_price":65.05} ], "hl_top_oi": [ {"coin":"BTC","funding_apr_pct":2.18,"oi_usd":1982230000,"mark_price":61668} ], "l2_top_chains_by_tvl": [ {"chain":"Ethereum","tvl_usd":48230000000}, {"chain":"Solana","tvl_usd":7800000000} ], "treasury_10y_pct": 4.53, "treasury_2y_pct": 4.13, "treasury_2s10s_bps": 40, "treasury_inverted_2s10s": false, "high_impact_events_count": 4, "next_high_impact_event": { "title": "Core CPI m/m", "country":"USD", "impact":"high", "date_iso":"2026-06-10T08:30:00-04:00", "forecast":"0.3%", "previous":"0.4%" } } ```` Plus per-section detail rows (`_type: stablecoin_detail / l2_detail / hl_funding_detail / treasury_detail / econ_detail`). *** ### Use cases 1. **Daily start-of-day briefing** — Get the whole macro / crypto picture in 1 cron 2. **Telegram bot** — Pipe summary to your trading channel 3. **Dashboard widget** — Feed into a Grafana / Streamlit dashboard 4. **Decision automation** — Combine multiple signals: only enter if `stablecoin_signal == "mint"` AND `treasury_inverted_2s10s == false` AND `high_impact_events_count == 0` 5. **Replace multiple subscriptions** — Cancel Coinglass + Glassnode + ETF flow sub *** ### Quick start #### Default — all 5 sections ```json {} ``` #### Only crypto signals (skip macro) ```json { "sections": ["stablecoin", "l2", "hl_funding"] } ``` #### Daily Telegram briefing ```json { "telegramBotToken": "YOUR_BOT_TOKEN", "telegramChatId": "YOUR_CHAT_ID" } ``` Schedule it hourly or daily via Apify schedule. *** ### Pricing **Pay-Per-Event**: `$0.05 per dashboard run.` | Schedule | Daily | Monthly | |---|---|---| | Once a day | $0.05 | $1.50 | | Every hour | $1.20 | $36 | | Every 15 min | $4.80 | $144 | Vs running 5 separate trackers ($0.001 × 200 rows × 5 = $1.00 per call), this is **20x cheaper** per snapshot. Vs subscriptions: - Coinglass Pro: $69/mo - Glassnode Standard: $39/mo - Tradingview Premium: $59/mo - This actor on hourly: $36/mo *** ### Data sources (all free, no API keys) 1. **Stablecoin**: DefiLlama `/stablecoins` 2. **L2 TVL**: DefiLlama `/v2/chains` 3. **HL Funding**: Hyperliquid Info API `metaAndAssetCtxs` 4. **Treasury**: home.treasury.gov daily CSV 5. **Macro events**: ForexFactory weekly JSON *** ### Related actors (same author) For deeper analysis on any single signal, use the dedicated actor: - [Stablecoin Supply Tracker](https://apify.com/gochujang/stablecoin-supply-tracker) — per-chain breakdown - [Hyperliquid Funding Tracker](https://apify.com/gochujang/hyperliquid-funding-tracker) — all 230+ pairs - [L2 TVL Tracker](https://apify.com/gochujang/l2-tvl-tracker) — with full 7d/30d deltas - [Treasury Yield Tracker](https://apify.com/gochujang/treasury-yield-tracker) — multi-day history - [Economic Calendar Tracker](https://apify.com/gochujang/economic-calendar-tracker) — next-week, country filters - [Smart Money Wallet Tracker](https://apify.com/gochujang/smart-money-tracker) *** ### Feedback A short review helps macro/crypto traders find it: [Leave a review on Apify Store](https://apify.com/gochujang/crypto-alpha-dashboard#reviews) # Actor input Schema ## `sections` (type: `array`): Which data sections to fetch. Empty / default = all 5. ## `telegramBotToken` (type: `string`): Telegram bot token for headline alert. ## `telegramChatId` (type: `string`): Chat ID. ## Actor input object example ```json { "sections": [ "stablecoin", "l2", "hl_funding", "treasury", "econ" ], "telegramChatId": "" } ``` # Actor output Schema ## `dataset` (type: `string`): No description ## `summary` (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 = { "sections": [ "stablecoin", "l2", "hl_funding", "treasury", "econ" ] }; // Run the Actor and wait for it to finish const run = await client.actor("gochujang/crypto-alpha-dashboard").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 = { "sections": [ "stablecoin", "l2", "hl_funding", "treasury", "econ", ] } # Run the Actor and wait for it to finish run = client.actor("gochujang/crypto-alpha-dashboard").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 '{ "sections": [ "stablecoin", "l2", "hl_funding", "treasury", "econ" ] }' | apify call gochujang/crypto-alpha-dashboard --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=gochujang/crypto-alpha-dashboard", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Crypto Alpha Dashboard — All-in-One Macro + DeFi Signals", "description": "Single-call meta-dashboard: stablecoin global mint/burn, top 5 L2 by TVL, Hyperliquid funding extremes, 2s10s spread + inversion flag, this week high-impact macro events (FOMC/CPI/NFP). Replaces 5-8 separate actor calls. $0.05 per run.", "version": "0.1", "x-build-id": "6gtliSJSEebZL2Pqu" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/gochujang~crypto-alpha-dashboard/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-gochujang-crypto-alpha-dashboard", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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-alpha-dashboard/runs": { "post": { "operationId": "runs-sync-gochujang-crypto-alpha-dashboard", "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-alpha-dashboard/run-sync": { "post": { "operationId": "run-sync-gochujang-crypto-alpha-dashboard", "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": { "sections": { "title": "Sections to include", "type": "array", "description": "Which data sections to fetch. Empty / default = all 5.", "default": [ "stablecoin", "l2", "hl_funding", "treasury", "econ" ], "items": { "type": "string" } }, "telegramBotToken": { "title": "Telegram Bot Token", "type": "string", "description": "Telegram bot token for headline alert." }, "telegramChatId": { "title": "Telegram Chat ID", "type": "string", "description": "Chat ID.", "default": "" } } }, "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 } } } } } } } } } } ```