Walk-Forward Validator

io.github.tylerscomic-labv1.0.0更新於 Oct 2, 2026

Walk-Forward Efficiency, parameter-stability scoring, and WFO window generation.

已驗證Streamable HTTP可網頁執行FinanceData & Analytics

概覽

AI 產生的概覽

讓助理對交易策略進行前向滾動分析：效率比率、參數穩定性評分以及滾動視窗產生。

功能
提供四個用於驗證交易策略最佳化的工具。walk_forward_efficiency 計算樣本外表現占樣本內表現的比例。parameter_stability_score 評估參數曲面是穩健的平台還是脆弱的尖峰。lock_after_wfo_check 審查參數在最佳化後是否真正鎖定，walk_forward_window_generator 依日期範圍與步長產生不重疊的滾動樣本內與樣本外視窗。
適用情境
適合用來檢查策略最佳化是否能推廣到未見資料，而不是曲線擬合，也適合手動建立前向滾動視窗容易出錯的情境。適用於量化與演算法交易的驗證流程。
執行需求
遠端 streamable HTTP 端點；未宣告驗證、環境變數或標頭。可從原始碼儲存庫使用 Node.js 與 npm 自行架設。託管方式據稱有免費方案，以及用於更高額度的付費 Pro 方案。
安裝前請注意
託管方式據稱有用於更高額度的付費 Pro 方案，使用可能產生費用。這些工具只計算與審查分析結果；未宣告需要憑證、私鑰或寫入操作。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Walk-Forward Validator，將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable，透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "walkforward-validator-mcp": {
      "type": "http",
      "url": "https://walkforward-validator-mcp.mcpize.run/mcp"
    }
  }
}

README

walkforward-validator-mcp

[License: MIT] [Live on MCPize]

An MCP server for walk-forward analysis of trading strategies — Walk-Forward Efficiency ratio, parameter-stability scoring, lock-after-optimization audits, and WFO window generation.

The problem this solves

A strategy optimized on one historical window and never re-validated on a fresh, unseen window is a curve fit until proven otherwise. Walk-forward analysis is the standard fix, but building the rolling windows correctly and scoring whether a parameter surface is a robust plateau or a fragile spike is easy to get subtly wrong by hand.

Tools

walk_forward_efficiency

Computes the Walk-Forward Efficiency ratio — out-of-sample performance as a fraction of in-sample performance — the core signal for whether an optimization generalizes.

parameter_stability_score

Scores a parameter surface for fragile curve-fit spikes vs. robust plateaus, flagging optimizations that only work at one exact parameter value.

lock_after_wfo_check

Audits whether parameters were genuinely locked after the walk-forward optimization step, or quietly re-tuned against the "out-of-sample" data — the mistake that silently invalidates a WFO result.

walk_forward_window_generator

Generates correctly non-overlapping rolling in-sample/out-of-sample windows for a given date range and step size.

Use it

Hosted (recommended): MCPize — free tier, paid Pro tier for higher limits.

Self-host:

bash
npm installnode server.js

Part of the AlgoForge suite

Prop-firm and quant-validation tools for algo traders: prop-rules-mcp, trade-journal-mcp, payout-calc-mcp, econ-calendar-mcp, montecarlo-validator-mcp, overfitting-audit-mcp, pinescript-audit-mcp, backtest-cost-sensitivity-mcp, pinescript-mcp.

License

MIT

來源：README.md，提交 13acca5

工具

0
工具後設資料尚未被收錄。

版本歷史

1
  1. v1.0.0最新Oct 2, 2026