backtest-expert

SKILLFlujo de trabajocomunidad
v0.0.0ntaffziiMITActualizado hace 1 mFuente →

Use this skill to simulate how a trading rule would have performed on historical price data — win rate, average return, max drawdown, profit factor — from a CSV or list of prices the user supplies, no market-data API required. Trigger on "backtest this strategy", "ทดสอบกลยุทธ์ย้อนหลัง", "how would t

Community-submitted skill. Not yet reviewed by the Forge team. Full prompt content may not be available.Request review →
4Estrellas del repo
1Clientes
1Formatos
hace 1 mÚltima actualización
Skill
Autorntaffzii
Versión0.0.0
LicenciaMIT
CategoríaFlujo de trabajo
Formatosskill.md
PromptNo publicado
Compatibilidad
Claude✓ Compatible
Cursor—
Copilot—
ChatGPT—
Gemini—
Acerca de

Use this skill to simulate how a trading rule would have performed on historical price data — win rate, average return, max drawdown, profit factor — from a CSV or list of prices the user supplies, no market-data API required. Trigger on "backtest this strategy", "ทดสอบกลยุทธ์ย้อนหลัง", "how would this rule have performed historically", "moving average crossover backtest", "max drawdown of this st

Palabras clave
skillclaude

Sin cobertura de dependencias

Esta entrada no publica ningún paquete de npm, así que Forge no tiene un árbol de dependencias para ella. Es una carencia de cobertura, no una afirmación de que no tenga dependencias.