dca-tools

Dollar-cost-averaging backtests on real historical data for crypto, stocks and commodities.

Should I use this

Quality & Safety

A
Description quality
100%
Schema completeness
73%
Naming quality
100%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~331Tokens (tool definitions)
~749 BTypical response size
Minimal attention impact (0.26% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "dca-tools": {
      "url": "https://dcamethod.com/api/mcp"
    }
  }
}

Remote endpoints

https://dcamethod.com/api/mcpstreamable-http

What it can do

Tool inventory

Tools (3)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢list_assets(category)

Returns every asset dcamethod.com can backtest, with category, calculator URL and whether historical data is available. Optional category filter: crypto, stocks, commodities.

Input Schema

{
  "type": "object",
  "properties": {
    "category": {
      "type": "string",
      "enum": [
        "crypto",
        "stocks",
        "commodities"
      ],
      "description": "Optional category filter"
    }
  }
}
⚪run_dca_backtest(symbol, amount, frequency, start_date, end_date)

Simulates dollar-cost averaging into one asset using dcamethod.com's own engine and historical price data. Returns total invested, final value, profit, CAGR, average buy price, best/worst month and purchase count. Dates outside the available range are clamped to it.

Input Schema

{
  "type": "object",
  "properties": {
    "symbol": {
      "type": "string",
      "description": "Asset symbol or name, e.g. 'BTC', 'AAPL', 'gold'"
    },
    "amount": {
      "type": "number",
      "description": "USD invested per purchase, e.g. 100"
    },
    "frequency": {
      "type": "string",
      "enum": [
        "daily",
        "weekly",
        "biweekly",
        "monthly"
      ],
      "description": "Purchase schedule"
    },
    "start_date": {
      "type": "string",
      "description": "Optional ISO date (YYYY-MM-DD); defaults to earliest available"
    },
    "end_date": {
      "type": "string",
      "description": "Optional ISO date (YYYY-MM-DD); defaults to latest available"
    }
  },
  "required": [
    "symbol",
    "amount",
    "frequency"
  ]
}
🟢get_method

Returns a concise explanation of the dollar-cost-averaging method plus links to the methodology, calculators and blog.

Input Schema

{
  "type": "object",
  "properties": {}
}

Community

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Evidence

Recent observations

verifiedversion not recorded3 tools
verifiedversion not recorded3 tools