vectorbt
Backtest trading strategies with realistic costs.
What it does
Guides implementation of trading-strategy backtests with vectorbt, including performance analysis and parameter validation.
When to use it
Use when implementing vectorized backtesting, parameter optimization, or portfolio performance analysis.
How to use it
It changes how the agent implements trading backtests, covering signal generation, simulation, performance analysis, and out-of-sample validation.
What you provide
- An existing project
What you need · 3
The backtesting examples and bundled scripts run in Python; no runtime version is specified.
The guide is built around vectorbt, which its installation instructions add alongside pandas and numpy.
Routes Solana token data fetching to birdeye-api; this is not required for the CSV or synthetic-data paths.
Access · 0
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