# Crypto Fear & Greed Index Tracker (Historical + Trend) (`gochujang/fear-greed-tracker`) Actor Tracks the Alternative.me Crypto Fear & Greed Index: historical time-series, regime detection (extreme fear/greed), 7d/30d rolling averages, streak counting, BTC price correlation, and Telegram alerts on extreme readings. No API key required. - **URL**: https://apify.com/gochujang/fear-greed-tracker.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 Fear & Greed Index Tracker Track the [Alternative.me Crypto Fear & Greed Index](https://alternative.me/crypto/fear-and-greed-index/) with historical time-series, regime analysis, trend detection, and Telegram alerts — no API key required. ### What You Get Each data row includes: - **Date & timestamp** — ISO 8601 - **Value** (0–100) and **Classification** (Extreme Fear / Fear / Neutral / Greed / Extreme Greed) - **Regime label** — `extreme_fear`, `fear`, `neutral`, `greed`, `extreme_greed` - **BTC price (USD)** — optional, correlates index with BTC spot price via CoinGecko Plus a **SUMMARY** key in the key-value store with: - Current value and regime - **Streak count** — how many consecutive days in the current regime - **7d / 30d rolling averages** - **Trend** — `improving`, `deteriorating`, or `stable` vs 7 days ago - **Regime breakdown** — count of days in each regime over the lookback period ### Use Cases - **Entry timing** — Extreme Fear readings (< 25) historically correlate with BTC bottoms - **Exit signals** — Extreme Greed (> 75) often precedes corrections - **Strategy backtesting** — Historical F&G data going back to 2018 - **Regime-aware trading bots** — Adjust position sizing based on current sentiment - **Telegram alerts** — Get notified when F&G crosses your threshold ### Sample Output ```json { "date": "2025-09-10", "timestamp": "2025-09-10T00:00:00+00:00", "value": 22, "regime": "extreme_fear", "classification": "Extreme Fear", "btc_price_usd": 54320.50 } ```` **SUMMARY (key-value store):** ```json { "current_value": 22, "current_regime": "extreme_fear", "streak_days": 4, "trend_7d": "deteriorating", "avg_7d": 28.4, "avg_30d": 41.2, "regime_breakdown": { "extreme_fear": 6, "fear": 12, "neutral": 8, "greed": 3, "extreme_greed": 1 } } ``` ### Input Parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `lookbackDays` | Integer | 30 | Days of history to fetch (1–365) | | `includeBtcCorrelation` | Boolean | true | Fetch BTC/USD price alongside index | | `alertThreshold` | Object | `{}` | Telegram alert trigger: `{"below": 20}` or `{"above": 80}` | | `telegramBotToken` | String | — | Bot token for alerts | | `telegramChatId` | String | — | Chat ID for alerts | ### Pricing **Pay-Per-Event: $0.0005 per day returned** - 30 days → **$0.015** - 90 days → **$0.045** - 365 days → **$0.18** ### No API Key Required Data comes from [alternative.me](https://alternative.me/crypto/fear-and-greed-index/) — a free, public API with no authentication needed. ### Technical Details - **Runtime**: Python 3.12 on Apify - **Data source**: Alternative.me Fear & Greed API + CoinGecko (BTC price) - **Rate limiting**: None — single API call per run - **Typical run time**: < 5 seconds # Actor input Schema ## `lookbackDays` (type: `integer`): Number of historical days to fetch (1-365). ## `includeBtcCorrelation` (type: `boolean`): Fetch BTC/USD daily price to correlate with F\&G index. ## `alertThreshold` (type: `object`): Trigger Telegram alert when F\&G crosses threshold. E.g. {"below": 20} for extreme fear, {"above": 80} for extreme greed. ## `telegramBotToken` (type: `string`): Bot token for Telegram alerts (requires alertThreshold). ## `telegramChatId` (type: `string`): Chat ID for Telegram alerts. ## Actor input object example ```json { "lookbackDays": 30, "includeBtcCorrelation": true, "alertThreshold": {} } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("gochujang/fear-greed-tracker").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = {} # Run the Actor and wait for it to finish run = client.actor("gochujang/fear-greed-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 '{}' | apify call gochujang/fear-greed-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=gochujang/fear-greed-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Crypto Fear & Greed Index Tracker (Historical + Trend)", "description": "Tracks the Alternative.me Crypto Fear & Greed Index: historical time-series, regime detection (extreme fear/greed), 7d/30d rolling averages, streak counting, BTC price correlation, and Telegram alerts on extreme readings. No API key required.", "version": "0.1", "x-build-id": "s4aSn7S7yNQU2aFKX" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/gochujang~fear-greed-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-gochujang-fear-greed-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/gochujang~fear-greed-tracker/runs": { "post": { "operationId": "runs-sync-gochujang-fear-greed-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/gochujang~fear-greed-tracker/run-sync": { "post": { "operationId": "run-sync-gochujang-fear-greed-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "lookbackDays": { "title": "Lookback Days", "minimum": 1, "maximum": 365, "type": "integer", "description": "Number of historical days to fetch (1-365).", "default": 30 }, "includeBtcCorrelation": { "title": "Include BTC Price", "type": "boolean", "description": "Fetch BTC/USD daily price to correlate with F&G index.", "default": true }, "alertThreshold": { "title": "Alert Threshold (optional)", "type": "object", "description": "Trigger Telegram alert when F&G crosses threshold. E.g. {\"below\": 20} for extreme fear, {\"above\": 80} for extreme greed.", "default": {} }, "telegramBotToken": { "title": "Telegram Bot Token (optional)", "type": "string", "description": "Bot token for Telegram alerts (requires alertThreshold)." }, "telegramChatId": { "title": "Telegram Chat ID (optional)", "type": "string", "description": "Chat ID for Telegram alerts." } } }, "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 } } } } } } } } } } ```