backtest-expert

SKILLFlusso di lavorocommunity
v0.0.0ntaffziiMITAggiornato 1 mesi faFonte →

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 →
4Stelle del repo
1Client
1Formati
1 mesi faUltimo aggiornamento
Skill
Autorentaffzii
Versione0.0.0
LicenzaMIT
CategoriaFlusso di lavoro
Formatiskill.md
PromptNon pubblicato
Compatibilità
Claude✓ Supportato
Cursor—
Copilot—
ChatGPT—
Gemini—
Descrizione

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

Parole chiave
skillclaude

Nessuna copertura delle dipendenze

Questa voce non pubblica alcun pacchetto npm, quindi Forge non ha un albero delle dipendenze per essa. È una lacuna di copertura, non l'affermazione che non abbia dipendenze.