# Crypto DCA (Dollar-Cost Averaging) Simulator (`gochujang/crypto-dca-simulator`) Actor Simulate dollar-cost averaging for any CoinGecko-listed crypto over the past 1-365 days. Daily/weekly/biweekly/monthly purchase frequency. Shows per-purchase breakdown, total P\&L, avg cost, vs lump-sum comparison. Free CoinGecko API, no key needed. $0.002/run. - **URL**: https://apify.com/gochujang/crypto-dca-simulator.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 DCA Simulator > Backtest dollar-cost averaging (DCA) strategies against real historical price data. Compare against lump-sum investing. ### ⚡ Run in 30 seconds Click **Start** with default settings — backtests a $100/week BTC DCA strategy over the past year and compares against lump-sum. Returns total invested, final value, ROI %, and best/worst entry periods. No API key required. --- ### What It Does Simulates DCA purchases at regular intervals using up to 365 days of historical price data from CoinGecko. Returns per-purchase breakdown, cumulative P&L, and comparison vs lump-sum investing at the same start date. --- ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `coinId` | string | `bitcoin` | CoinGecko ID of the asset | | `amountPerPurchase` | number | `100` | USD amount per DCA purchase | | `frequency` | string | `weekly` | `daily`, `weekly`, `biweekly`, `monthly` | | `days` | number | `365` | Lookback period in days (max 365 for free CoinGecko API) | --- ### Output #### Summary Object | Field | Description | |-------|-------------| | `total_invested_usd` | Total USD invested | | `current_value_usd` | Current value of all purchases | | `total_pnl_usd` | Profit/loss in USD | | `total_pnl_pct` | Profit/loss percentage | | `avg_purchase_price` | Average purchase price across all buys | | `lump_sum_value_usd` | What a single purchase at start would be worth | | `dca_vs_lump_sum_pct` | DCA outperformance vs lump sum | #### Per-Purchase Items Each DCA purchase as a dataset item with `date`, `price`, `units_bought`, `cumulative_invested`, `current_value`, `unrealized_pnl`. --- ### Pricing **$0.002 per simulation run**. ### Use Cases - Evaluate DCA strategies during bull/bear markets - Find optimal DCA frequency for a specific asset - Compare DCA vs lump-sum for any historical window # Actor input Schema ## `coinId` (type: `string`): CoinGecko coin ID (e.g. 'bitcoin', 'ethereum', 'solana', 'uniswap'). Find IDs at coingecko.com. ## `amountUsd` (type: `number`): How many USD to invest in each DCA purchase. ## `frequency` (type: `string`): How often to make purchases. ## `days` (type: `integer`): How many days back to simulate. Max 365 (CoinGecko free API limit). ## Actor input object example ```json { "coinId": "bitcoin", "amountUsd": 100, "frequency": "weekly", "days": 365 } ```` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("gochujang/crypto-dca-simulator").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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-dca-simulator").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-dca-simulator --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=gochujang/crypto-dca-simulator", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Crypto DCA (Dollar-Cost Averaging) Simulator", "description": "Simulate dollar-cost averaging for any CoinGecko-listed crypto over the past 1-365 days. Daily/weekly/biweekly/monthly purchase frequency. Shows per-purchase breakdown, total P&L, avg cost, vs lump-sum comparison. Free CoinGecko API, no key needed. $0.002/run.", "version": "0.1", "x-build-id": "bd4KC9CHKJbpMRLBL" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/gochujang~crypto-dca-simulator/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-gochujang-crypto-dca-simulator", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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-dca-simulator/runs": { "post": { "operationId": "runs-sync-gochujang-crypto-dca-simulator", "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-dca-simulator/run-sync": { "post": { "operationId": "run-sync-gochujang-crypto-dca-simulator", "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": { "coinId": { "title": "CoinGecko Coin ID", "type": "string", "description": "CoinGecko coin ID (e.g. 'bitcoin', 'ethereum', 'solana', 'uniswap'). Find IDs at coingecko.com.", "default": "bitcoin" }, "amountUsd": { "title": "Amount Per Purchase (USD)", "minimum": 1, "type": "number", "description": "How many USD to invest in each DCA purchase.", "default": 100 }, "frequency": { "title": "Purchase Frequency", "enum": [ "daily", "weekly", "biweekly", "monthly" ], "type": "string", "description": "How often to make purchases.", "default": "weekly" }, "days": { "title": "Simulation Period (days)", "minimum": 7, "maximum": 365, "type": "integer", "description": "How many days back to simulate. Max 365 (CoinGecko free API limit).", "default": 365 } } }, "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 } } } } } } } } } } ```