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.
Установить с помощью моего Агента
Скопируйте этот запрос в своего Агента. Он содержит каноническую страницу Skill и манифест.
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.Ваш Агент по-прежнему должен показать план и запросить все подтверждения, требуемые политикой безопасности.
Ресурсы для AI-агентов
Используйте эти ссылки, когда AI-агенту, crawler или script нужен чистый контекст вместо полной страницы.
Протестировать
Использование «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.
Ожидаемый результат:
Deploy, 81 out of 100. The sample, expectancy, drawdown, test duration, parameter count, and execution assumptions support further consideration. Independent validation remains necessary.
Использование «backtest-expert». Review 24 trades over two years with eight parameters and no slippage test.
Ожидаемый результат:
- 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.
Использование «backtest-expert». Explain why a profitable strategy fails after realistic trading costs.
Ожидаемый результат:
The reported edge is smaller than expected slippage and commissions. Test conservative fills and nearby parameters before deciding whether the hypothesis remains viable.
Аудит безопасности
БезопасноAll 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.
Факторы риска
⚙️ Внешние команды (6)
Поделиться и цитировать этот отчет
Делитесь версионным отчетом об оценке, нейтральным значком, встраиваемой карточкой и цитатами. Skillstore публикует доказательства, не решая, безопасен ли этот Skill.
Копировать ссылку на отчёт
https://skillstore.io/skills/tradermonty-backtest-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportЗначок Markdown
[](https://skillstore.io/skills/tradermonty-backtest-expert?utm_source=security_passport_badge)Значок HTML
<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>Встраиваемая карточка
<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>Академические ссылки (APA · BibTeX · CFF)
Цитата APA
tradermonty. (2026). backtest-expert security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/tradermonty-backtest-expert/audits/1Цитата BibTeX
@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"
Оценка Skillstore
Почему такая оценка Достоверность доказательств: СреднийЧто вы можете построить
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.
Попробуйте эти промпты
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.
Лучшие практики
- 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.
Избегать
- 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.
Часто задаваемые вопросы
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?
Сведения для разработчиков
Автор
tradermontyЛицензия
MIT
Ревизия Skillstore
r1
Примечание о версии
Автор не указал версию.
Ссылка
8b5ad1599e7c55e9b6c627bca3f556f6e9061cb1
Актуальность поддержки
30.09.2026
Использование
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