backtest-expert
Evaluate Trading Backtests for Robustness
Backtest results can hide overfitting, weak samples, and unrealistic execution assumptions. This skill applies structured scoring, stress tests, and bias checks.
使用我的智慧代理安裝
將此請求複製給你的智慧代理,其中包含權威 Skill 頁面和清單。
Review the Skillstore skill "backtest-expert" from https://skillstore.io/skills/tradermonty-backtest-expert.md and its manifest at https://skillstore.io/api/skills/tradermonty-backtest-expert/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.你的智慧代理仍應顯示其計畫,並依安全政策請求必要確認。
Agent 可讀資源
當 AI Agent、爬蟲或腳本需要乾淨脈絡、而不是讀取完整頁面時,請使用這些連結。
測試它
正在使用「backtest-expert」。 Evaluate 150 trades, 62 percent wins, 1.8 percent average win, 1.2 percent average loss, 15 percent drawdown, eight years, three parameters, with slippage tested.
預期結果:
Deploy, 81 out of 100. The sample, expectancy, drawdown, test duration, parameter count, and execution assumptions support further consideration. Independent validation remains necessary.
正在使用「backtest-expert」。 Review 24 trades over two years with eight parameters and no slippage test.
預期結果:
- Verdict: Abandon.
- The sample is below the minimum threshold.
- The test period may omit important market regimes.
- Eight parameters indicate substantial overfitting risk.
- Execution costs have not been validated.
正在使用「backtest-expert」。 Explain why a profitable strategy fails after realistic trading costs.
預期結果:
The reported edge is smaller than expected slippage and commissions. Test conservative fills and nearby parameters before deciding whether the hypothesis remains viable.
安全審計
安全All 17 static findings are false positives caused by trading prose, Python test identifiers, Markdown code fences, and inline code formatting. The skill performs local calculations and writes requested reports, with no network access, secret handling, prompt injection, or dynamic shell execution found.
風險因素
分享與引用此報告
分享版本化評估報告、中性徽章、嵌入卡片與引用。Skillstore 只報告證據,不判斷該 Skill 是否安全。
複製報告連結
https://skillstore.io/skills/tradermonty-backtest-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown 徽章
[](https://skillstore.io/skills/tradermonty-backtest-expert?utm_source=security_passport_badge)HTML 徽章
<a href="https://skillstore.io/skills/tradermonty-backtest-expert?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/tradermonty-backtest-expert/security.svg" alt="Skillstore security assessment" loading="lazy"></a>嵌入卡片
<iframe src="https://skillstore.io/embed/skills/tradermonty-backtest-expert.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>學術引用 (APA · BibTeX · CFF)
APA 引用
tradermonty. (2026). backtest-expert security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/tradermonty-backtest-expert/audits/1BibTeX 引用
@techreport{tradermonty-tradermonty-backtest-expert-2026,
author = {tradermonty},
title = {backtest-expert security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/tradermonty-backtest-expert/audits/1},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "backtest-expert security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
- name: "tradermonty"
date-released: "2026-09-27"
url: "https://skillstore.io/skills/tradermonty-backtest-expert/audits/1"
identifiers:
- type: other
value: "skillstore:tradermonty-backtest-expert:audit:1"
description: "Skillstore immutable audit report identifier"
Skillstore 評分
評分依據 證據置信度: 中你可以打造什麼
Screen a New Strategy
Review early backtest metrics and identify the highest-priority validation gaps before further development.
Challenge Research Results
Apply bias checks, parameter stress tests, and walk-forward criteria during a formal research review.
Teach Robust Validation
Demonstrate why sample size, execution friction, market regimes, and out-of-sample testing affect confidence.
試試這些提示
Evaluate this backtest: [trades], [win rate], [average win], [average loss], [drawdown], [years], [parameters], and [slippage tested]. Explain the verdict simply.
Create a stress test plan for this strategy: [rules]. Cover parameter ranges, slippage, commissions, fill quality, sample size, and market regimes.
Analyze these failed backtest results: [results]. Identify breaking points, likely biases, weak assumptions, and the next tests that could reject or refine the hypothesis.
Audit this strategy and evidence: [strategy], [metrics], [periods], [cost assumptions], [parameter tests], and [out-of-sample results]. Produce a prioritized robustness assessment and deployment conditions.
最佳實務
- Define entry, exit, sizing, filters, and the trading universe before testing.
- Use multiple market regimes, out-of-sample periods, and conservative execution costs.
- Prefer broad performance plateaus over isolated optimal parameter values.
避免
- Do not select only successful instruments, periods, or examples.
- Do not optimize many parameters and report only the best configuration.
- Do not treat a high score or historical return as proof of future performance.
常見問題
Does this skill run a complete backtest?
Does it need market data or API keys?
What reports does the script create?
What does a Deploy verdict mean?
Can it detect overfitting?
Is this financial advice?
開發者詳細資訊
作者
tradermonty授權
MIT
Skillstore 修訂
r1
版本提示
作者未聲明版本。
引用
8b5ad1599e7c55e9b6c627bca3f556f6e9061cb1
維護新鮮度
2026/9/30
使用量
0 次下載 · 0 次瀏覽
檔案結構