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.
Mit meinem Agent installieren
Kopieren Sie diese Anfrage in Ihren Agent. Sie enthält die maßgebliche Skill-Seite und das Manifest.
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.Ihr Agent sollte weiterhin seinen Plan anzeigen und alle von der Sicherheitsrichtlinie verlangten Bestätigungen anfordern.
Agent-lesbare Ressourcen
Verwenden Sie diese Links, wenn ein KI-Agent, Crawler oder Skript sauberen Kontext benötigt, statt die vollständige Seite zu lesen.
Testen
„backtest-expert“ wird verwendet. 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.
Erwartetes Ergebnis:
Deploy, 81 out of 100. The sample, expectancy, drawdown, test duration, parameter count, and execution assumptions support further consideration. Independent validation remains necessary.
„backtest-expert“ wird verwendet. Review 24 trades over two years with eight parameters and no slippage test.
Erwartetes Ergebnis:
- 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.
„backtest-expert“ wird verwendet. Explain why a profitable strategy fails after realistic trading costs.
Erwartetes Ergebnis:
The reported edge is smaller than expected slippage and commissions. Test conservative fills and nearby parameters before deciding whether the hypothesis remains viable.
Sicherheitsaudit
SicherAll 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.
Risikofaktoren
⚙️ Externe Befehle (6)
Diesen Bericht teilen & zitieren
Teile den versionierten Bewertungsbericht, das neutrale Badge, die Einbettungskarte und Zitate. Skillstore berichtet Nachweise, ohne zu entscheiden, ob dieser Skill sicher ist.
Berichtslink kopieren
https://skillstore.io/skills/tradermonty-backtest-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown-Badge
[](https://skillstore.io/skills/tradermonty-backtest-expert?utm_source=security_passport_badge)HTML-Badge
<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>Einbettungskarte
<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>Wissenschaftliche Zitate (APA · BibTeX · CFF)
APA-Zitat
tradermonty. (2026). backtest-expert security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/tradermonty-backtest-expert/audits/1BibTeX-Zitat
@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-Score
Warum dieser Score Evidenzvertrauen: MittelWas Sie erstellen können
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.
Diese Prompts ausprobieren
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.
Bewährte Praktiken
- 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.
Vermeiden
- 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.
Häufig gestellte Fragen
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?
Entwicklerdetails
Autor
tradermontyLizenz
MIT
Skillstore-Revision
r1
Versionshinweis
Der Autor hat keine Version angegeben.
Ref.
8b5ad1599e7c55e9b6c627bca3f556f6e9061cb1
Aktualität der Wartung
30.9.2026
Nutzung
0 Downloads · 0 Aufrufe
Dateistruktur