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backtest

pormarketcalls·marketcalls· v1.0.0 · atualizado em 2026-04-10
79
Score

Quick backtest a strategy on a symbol. Creates a complete .py script with data fetch, signals, backtest, stats, and plots.

backtestingtrading-strategyvectorbtfinancial-analysisalgorithmic-tradingpython-scriptopenalgo
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Documento do Skill

SKILL.mdbacktest/workflow
Parse the user's request for backtesting, including strategy, symbol, exchange, and interval.
Create a Python script with data fetching, strategy implementation, backtesting, stats, and plots.
Load `.env` for OpenAlgo credentials.
Fetch historical data using `client.history()` from OpenAlgo.
Implement the requested strategy using VectorBT and OpenAlgo TA helpers.
Run `vbt.Portfolio.from_signals()` with proper sizing.
Print full `pf.stats()` and key metrics.
Plot equity curve and drawdown.
Export trades to CSV.

Telemetria de Agentes

Execuções
0
total
Taxa de Sucesso
0%
últimos 30d
Latência Média
0.0s
p50
Alucinação
0.0%
detecção
Tokens Entrada
0
avg 0/exec
Tokens Saída
0
avg 0/exec

Uso por Plataforma

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Árvore do Skill

backtest
backtest
Fases Cognitivas5
1.SENSE
2.CONTEXTUALIZE
3.ACT
4.EVALUATE
5.REFLECT
Triggers7
backtest a trading strategycreate a backtesting scriptrun a backtest on a symbolgenerate a vectorbt scriptanalyze strategy performanceevaluate a trading strategyperform historical data analysis

Avaliar este Skill

Score Breakdown

⭐Avaliação Humana0%
🤖Sucesso de Agentes0%
🕐Atualidade100%
🔗Saúde de Dependências100%
🕸️Centralidade no Grafo0%
🛡️Segurança50%
CompositeScore = α·Humano + β·Agente + γ·Recência + δ·Deps + ε·Centralidade + ζ·Segurança

Instalação

$ synaptic mcp download backtest
$ synaptic skills detail backtest
$ synaptic skills live backtest

Dependências

vectorbtopenalgopython-dotenv

Links

GitHub Repository