dca-tools
Dollar-cost-averaging backtests on real historical data for crypto, stocks and commodities.
我該用這個嗎
品質與安全性
根據工具定義與協定合規性的自動化分析。
上下文成本
這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高，可用於其他工作的注意力就越少。
安裝
一鍵安裝
將以下內容加入你的 `claude_desktop_config.json` 檔案：
{
"mcpServers": {
"dca-tools": {
"url": "https://dcamethod.com/api/mcp"
}
}
}遠端端點
https://dcamethod.com/api/mcpstreamable-http它能做什麼
工具清單
工具（3）
🟢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.
輸入結構描述
{
"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.
輸入結構描述
{
"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.
輸入結構描述
{
"type": "object",
"properties": {}
}社群
證據