# Crypto Momentum Detector (`0xgollum/crypto-momentum-detector`) Actor Catch crypto tokens early: new launches + tokens whose volume and price are accelerating, with a built-in anti-rug quality filter. Powered by DexScreener and CoinGecko. - **URL**: https://apify.com/0xgollum/crypto-momentum-detector.md - **Developed by:** [0xGollum](https://apify.com/0xgollum) (community) - **Categories:** Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $2.00 / 1,000 results 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 ## Crypto Momentum Detector 🚀 **Catch crypto tokens early — new launches and accelerating movers — before the crowd, with a built-in anti-rug filter.** Most crypto scrapers dump raw market data on you. This actor does the filtering that matters: it surfaces (1) **freshly launched tokens** and (2) **tokens whose volume and price are accelerating right now**, and it throws out the obvious rugs and wash-traded junk before you ever see them. --- ### Two signals | `signal` | What it means | |----------|---------------| | `new_launch` | A token launched recently (default: < 72h), with real liquidity and volume | | `momentum` | A token trading **hotter than its own 24h pace** — accelerating volume + rising price | Every result is ranked by a single **`momentum_score`** so the strongest signals come first. ### Built-in anti-rug quality gate Tokens are dropped before scoring if they look like traps: - **Low liquidity** (below your threshold, default $10k) - **Negligible volume** (below your threshold, default $25k/24h) - **Suspicious volume** — 24h volume wildly out of proportion to liquidity (classic wash trading) - **Illiquid activity** — near-zero volume against the pool You control every threshold from the input. --- ### Sources (all public, no API key) - **DexScreener** — new token launches + live per-pair metrics (price, volume, liquidity, multi-timeframe change) across every chain - **CoinGecko** — established coins with 1h / 24h / 7d momentum ### Use cases - **Degens / memecoin traders** — programmatic early alerts on fresh launches that already have liquidity - **Momentum traders** — a shortlist of tokens accelerating *now*, not after the pump - **Bots & automations** — feed clean, filtered signals into your own trading/alerting pipeline (Make, Zapier, n8n, custom) - **Analysts** — track what's moving across chains without babysitting ten dashboards ### Input (all optional) | Field | Default | Description | |-------|---------|-------------| | `include_new_launches` | `true` | Detect fresh token launches | | `include_dex_momentum` | `true` | Detect accelerating DEX tokens | | `include_coingecko` | `true` | Include established coins' momentum | | `chains` | all | Limit to chains, e.g. `["solana","base","ethereum"]` | | `min_liquidity_usd` | `10000` | Anti-rug: minimum liquidity | | `min_volume_usd` | `25000` | Minimum 24h volume | | `max_new_token_age_hours` | `72` | Max age to count as a "new launch" | | `min_volume_acceleration` | `2.0` | Momentum: last hour ≥ N× the 24h hourly pace | | `min_price_change_1h` | `3.0` | Momentum: minimum 1h price gain (%) | | `max_results` | `100` | Cap on signals returned | #### Example ```json { "chains": ["solana", "base"], "min_liquidity_usd": 20000, "min_price_change_1h": 5 } ```` ### Output Each item is one token signal: ```json { "signal": "new_launch", "symbol": "WIFOUT", "chain": "solana", "address": "…", "price_usd": 0.0024, "price_change_h1": 211.0, "price_change_h24": 472.0, "volume_h24": 420225, "liquidity_usd": 37162, "age_hours": 2.1, "momentum_score": 265.17, "quality_flags": [], "url": "https://dexscreener.com/…" } ``` ### Pricing **Pay per result:** **$0.002 per token signal** returned. Most runs cost a few cents. No subscription — you pay only per item. ### Tips - **Schedule it** (every 15–60 min) to keep catching launches and movers as they happen — the actor remembers which tokens it already reported, so a launch is flagged only once. - Tighten `min_liquidity_usd` / `min_price_change_1h` for higher-conviction signals; loosen them to cast a wider net. - Use `chains` to focus on where you actually trade (e.g. Solana for memecoins). *** *⚠️ Not financial advice. Crypto is high-risk; this actor surfaces data, it does not tell you what to buy. Always do your own research. All data from public sources.* # Actor input Schema ## `include_new_launches` (type: `boolean`): Surface freshly launched tokens (via DexScreener), gated by quality filters. ## `include_dex_momentum` (type: `boolean`): Surface actively traded DEX tokens whose volume/price is accelerating. ## `include_coingecko` (type: `boolean`): Include top coins by volume with 1h/24h/7d momentum. ## `chains` (type: `array`): Limit to specific chains (e.g. 'solana', 'ethereum', 'base', 'bsc'). Empty = all chains. ## `min_liquidity_usd` (type: `integer`): Anti-rug gate: drop tokens with shallow liquidity. ## `min_volume_usd` (type: `integer`): Drop tokens with negligible 24h trading volume. ## `max_new_token_age_hours` (type: `integer`): A token counts as a new launch only if younger than this. ## `min_volume_acceleration` (type: `number`): Momentum gate: last-hour volume must run at least this many times the 24h average hourly pace. ## `min_price_change_1h` (type: `number`): Momentum gate: minimum positive 1h price move (%). ## `max_results` (type: `integer`): Cap on the number of token signals returned per run. ## Actor input object example ```json { "include_new_launches": true, "include_dex_momentum": true, "include_coingecko": true, "chains": [], "min_liquidity_usd": 10000, "min_volume_usd": 25000, "max_new_token_age_hours": 72, "min_volume_acceleration": 2, "min_price_change_1h": 3, "max_results": 100 } ``` # 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("0xgollum/crypto-momentum-detector").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("0xgollum/crypto-momentum-detector").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 0xgollum/crypto-momentum-detector --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=0xgollum/crypto-momentum-detector", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Crypto Momentum Detector", "description": "Catch crypto tokens early: new launches + tokens whose volume and price are accelerating, with a built-in anti-rug quality filter. Powered by DexScreener and CoinGecko.", "version": "0.1", "x-build-id": "pCaeDfdHc8VzSxzFE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/0xgollum~crypto-momentum-detector/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-0xgollum-crypto-momentum-detector", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/0xgollum~crypto-momentum-detector/runs": { "post": { "operationId": "runs-sync-0xgollum-crypto-momentum-detector", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/0xgollum~crypto-momentum-detector/run-sync": { "post": { "operationId": "run-sync-0xgollum-crypto-momentum-detector", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "include_new_launches": { "title": "Detect new token launches", "type": "boolean", "description": "Surface freshly launched tokens (via DexScreener), gated by quality filters.", "default": true }, "include_dex_momentum": { "title": "Detect DEX momentum", "type": "boolean", "description": "Surface actively traded DEX tokens whose volume/price is accelerating.", "default": true }, "include_coingecko": { "title": "Include established coins (CoinGecko)", "type": "boolean", "description": "Include top coins by volume with 1h/24h/7d momentum.", "default": true }, "chains": { "title": "Chains filter (optional)", "type": "array", "description": "Limit to specific chains (e.g. 'solana', 'ethereum', 'base', 'bsc'). Empty = all chains.", "default": [], "items": { "type": "string" } }, "min_liquidity_usd": { "title": "Minimum liquidity (USD)", "minimum": 0, "type": "integer", "description": "Anti-rug gate: drop tokens with shallow liquidity.", "default": 10000 }, "min_volume_usd": { "title": "Minimum 24h volume (USD)", "minimum": 0, "type": "integer", "description": "Drop tokens with negligible 24h trading volume.", "default": 25000 }, "max_new_token_age_hours": { "title": "Max age for 'new launch' (hours)", "minimum": 1, "type": "integer", "description": "A token counts as a new launch only if younger than this.", "default": 72 }, "min_volume_acceleration": { "title": "Min volume acceleration", "type": "number", "description": "Momentum gate: last-hour volume must run at least this many times the 24h average hourly pace.", "default": 2 }, "min_price_change_1h": { "title": "Min 1h price change (%)", "type": "number", "description": "Momentum gate: minimum positive 1h price move (%).", "default": 3 }, "max_results": { "title": "Max signals returned", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Cap on the number of token signals returned per run.", "default": 100 } } }, "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 } } } } } } } } } } ```