Dollar Cost Averaging Strategy SimulをAIに接続

最速日

729ms

最遅日

1134ms

14日間の傾向

改善傾向-25%

Dollar-Cost Averaging Strategy Connector

準備完了です。MCPクライアントを選択し、セットアップ手順に従ってください。

コネクタリンクhttps://edge.vinkius.com/vk_preview_o2yhrrIGJCWI4TAAEFhtyMAUXZHknQmvZX3yvFJM/mcpコピー

Claude Desktop

以下の手順で数秒で接続できます。

1. 1In Claude Desktop, open Settings → Connectors.
2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3. 3Click Add and start a new chat — Dollar-Cost Averaging Strategy capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "dollar-cost-averaging-strategy-simulator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_o2yhrrIGJCWI4TAAEFhtyMAUXZHknQmvZX3yvFJM/mcp"
    }
  }
}

• Claude
• ChatGPT
• Cursor
• VS Code
• Windsurf
• Claude Code
• JetBrains
• Cline

各クライアントの手順ガイドはこちらです。 接続方法

Claude向けのガイド付きセットアップ？ Dollar-Cost Averaging StrategyをClaudeや他のAIに設定する

このConnectorが対応するすべてのAIクライアントを見る ↑

• 01

  個人投資家

  感情に左右されず、バリュエーションに基づいた最適な積立タイミングを検討したい方。

• 02

  金融アナリスト

  特定の投資戦略が過去のデータに対してどのようなパフォーマンスを示したかを定量的に分析するプロフェッショナル。

• 03

  ポートフォリオ・マネージャー

  資産配分や積立額の調整ルールを策定し、シミュレーションを通じてその有効性を検証する担当者。

• 01

  How does this DCA strategy differ from regular DCA?

  Regular DCA uses a fixed amount every period. This MCP uses valuation percentiles to increase investment amounts when assets are cheap and decrease them when they are expensive.

• 02

  What AI clients can I use with this MCP?

  You can use any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

• 03

  Do I need to host the MCP myself?

  No, Vinkius hosts and manages the MCP for you. You just connect your client and start using the capabilities.

• 04

  Can I use this to compare my strategy to a lump-sum investment?

  Yes, the performance metrics include comparisons to lump-sum returns.

• 05

  What kind of data do I need to provide for a simulation?

  You typically provide a series of historical prices and corresponding valuation metrics like P/E ratios.

• 06

  How does the valuation adjustment work?

  The strategy uses the get_valuation_percentile logic to scale investments. If the valuation is in the bottom 25th percentile, it invests 1.5x the base amount. Between 25th and 75th, it invests 1.0x. Above 75th, it invests 0.5x, and above 90th, it stops investing (0x).

• 07

  Can I compare my DCA results to a lump-sum investment?

  Yes, the simulate_dca_strategy capability provides a lumpSumReturnPercent metric, which compares the DCA performance against investing the total planned amount at the initial price point.

• 08

  What inputs are required for a simulation?

  To use simulate_dca_strategy, you need a price series, a corresponding valuation series (like P/E ratios), the base investment amount, and the investment frequency (e.g., 'weekly' or 'monthly').

• 

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