
Backtest Cost Sensitivity
io.github.tylerscomic-labv1.0.0更新于 Oct 2, 2026
Commission/slippage sensitivity sweep, breakeven cost finder, and lookahead-bias checklist.
概览
通过扫描佣金和滑点假设来分析回测结果,找出策略的盈亏平衡成本并审计前视偏差。
- 功能
- 它提供三个用于评估执行成本如何影响交易策略回测的工具。cost_sensitivity_sweep 针对回测结果扫描一系列佣金和滑点假设,并报告各项绩效指标如何随成本变化而下降。breakeven_cost_finder 找出策略优势归零的确切成本水平。lookahead_bias_checklist 针对跨 K 线边界的数据泄漏、重绘指标和读取未来 K 线等前视偏差模式提供结构化审计。
- 适用场景
- 适用于在实盘前验证算法交易策略,尤其是当回测只依赖单一固定佣金或滑点假设时。它有助于判断策略优势能否在真实执行成本下存活,以及回测是否包含前视偏差。
- 运行要求
- 以远程 streamable HTTP 端点方式运行;未声明任何软件包、环境变量、请求头或身份验证。自托管方式为通过 npm 安装并运行 node server.js,需要 Node.js。托管方式据描述提供免费套餐和付费 Pro 套餐。
安装
在 SourceWeft 中
- 打开 控制台中的 Backtest Cost Sensitivity,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。
其他 MCP 客户端
把它添加到你客户端的 mcpServers 配置中。
{
"mcpServers": {
"backtest-cost-sensitivity-mcp": {
"type": "http",
"url": "https://backtest-cost-sensitivity-mcp.mcpize.run/mcp"
}
}
}README
backtest-cost-sensitivity-mcp
[License: MIT] [Live on MCPize]
An MCP server that sweeps commission and slippage assumptions across a backtest to find the real breakeven cost per trade, plus a structured look-ahead-bias audit.
The problem this solves
Most backtests run with one fixed commission/slippage assumption, which hides how fragile a strategy's edge actually is to real-world execution costs. A strategy that's profitable at 0.5 ticks of slippage and dead at 1.5 ticks needs to know that before going live, not after.
Tools
cost_sensitivity_sweep
Sweeps a range of commission and slippage assumptions against backtest results and reports how performance metrics degrade across the range.
breakeven_cost_finder
Finds the exact commission/slippage level at which a strategy's edge goes to zero — the real cost ceiling, not a guess.
lookahead_bias_checklist
A structured audit for the specific look-ahead-bias patterns that inflate backtest performance (data leakage across bar boundaries, repainting indicators, future-bar reads).
Use it
Hosted (recommended): MCPize — free tier, paid Pro tier for higher limits.
Self-host:
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, walkforward-validator-mcp, pinescript-audit-mcp, pinescript-mcp.
License
MIT
来源:README.md,提交 e25023c
工具
0版本历史
1- v1.0.0最新Oct 2, 2026