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VectorBT Backtesting Expert Skill

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

Score

VectorBT backtesting expert. Use when user asks to backtest strategies, create entry/exit signals, analyze portfolio performance, optimize parameters, fetch historical data, use VectorBT/vectorbt, compare strategies, position sizing, equity curves, drawdown charts, or trade analysis. Also triggers for openalgo.ta helpers (exrem, crossover, crossunder, flip, donchian, supertrend).

vectorbtbacktestingtrading-strategyportfolio-analysisfinancial-modelingtechnical-analysisopenalgo

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Documento do Skill

SKILL.mdvectorbt-expert/workflow

1. Load necessary libraries (vectorbt, pandas, numpy, openalgo).

2. Fetch historical data from OpenAlgo or Yahoo Finance.

3. Define entry and exit signals based on the chosen trading strategy (e.g., EMA crossover, RSI).

4. Create a VectorBT portfolio using `from_signals` or other appropriate methods.

5. Configure position sizing, stop loss, and take profit parameters.

6. Run the backtest and analyze the portfolio performance.

7. Visualize the results using VectorBT's built-in plotting functions.

8. Export trade records for further analysis.

Telemetria de Agentes

Execuções

total

Taxa de Sucesso

últimos 30d

Latência Média

0.0s

p50

Alucinação

0.0%

detecção

Tokens Entrada

avg 0/exec

Tokens Saída

avg 0/exec

Uso por Plataforma

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Árvore do Skill

VectorBT Backtesting Expert Skill

vectorbt-expert

Fases Cognitivas6

1.SENSE

2.CONTEXTUALIZE

3.HYPOTHESIZE

4.EVALUATE

5.RECOMMEND

6.ACT

Triggers10

backtest a trading strategy using VectorBTanalyze portfolio performance with VectorBToptimize parameters for a trading strategyfetch historical stock data for backtestingcreate entry and exit signals for a trading strategycompare different trading strategies using VectorBTanalyze equity curves and drawdown chartsuse openalgo.ta helpers for signal generationimplement position sizing in VectorBTperform trade analysis using VectorBT

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 vectorbt-expert

$ synaptic skills detail vectorbt-expert

$ synaptic skills live vectorbt-expert

Dependências

vectorbt pandas numpy yfinance openalgo plotly python-dotenv

Links

GitHub Repository