Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating ideas to death" methodology, parameter robustness testing, slippage modeling, bias prevention, and interpreting backtest results. Applicable when user asks about backtesting, strategy validation, robustness testing, avoiding overfitting, or systematic trading development.
Security Analysis
high confidenceThis is an instruction-only skill providing methodological guidance for backtesting trading strategies; its files, requirements, and instructions are coherent with that purpose and do not request unrelated credentials, installs, or system access.
Name and description match the content: all files are methodology and examples for backtesting. The skill requires no binaries, env vars, or config paths — appropriate for a purely advisory/backtesting guidance skill.
SKILL.md and reference docs contain procedural guidance (hypothesis, codify rules, stress tests, walk-forward validation). They do not instruct the agent to read local files, access credentials, call external endpoints, or perform actions outside the stated domain.
No install spec and no code files — the lowest-risk model. Nothing will be downloaded or written to disk by the skill itself.
Requires no environment variables or credentials and does not reference unrelated services. The requested scope of access is minimal and appropriate for a documentation-only skill.
always is false and the skill does not request or modify persistent agent/system configuration. It does not ask for permanent presence or elevated privileges.
Guidance
This skill is a well-scoped, instruction-only reference for backtesting methodology and appears internally consistent. Before relying on it for trading decisions, remember: (1) the skill provides methodological guidance, not financial guarantees — validate any implementation with your own data and controls; (2) because the skill's source and homepage are unknown, prefer to use it as a checklist and corroborate recommendations with trusted sources or your own code review; and (3) if you later build automation around these rules (code that runs backtests, accesses broker APIs, or handles credentials), review that code and the required environment variables carefully — the present skill does not itself request or manage such credentials.
Latest Release
v0.1.0
Initial release of backtest-expert skill, providing robust methodology for systematic trading strategy development and validation. - Guides users through hypothesis articulation, rule codification, comprehensive backtesting, and stress-testing (including slippage and robustness to parameters and regimes). - Emphasizes a pessimistic, "break the least" approach with practical workflows for avoiding bias, overfitting, and unrealistic expectations. - Includes references for methodology details and common failure patterns. - Suitable for anyone developing or validating systematic, rules-based trading strategies.
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