VectorBT Vectorized
VectorBT Vectorized: VectorBT Vectorized: specialized toolkit for 3+ finance workflows covered in the triggers section.
Overview
Constraints
Evidence Quality
Medium confidence — review before critical use
70 non-negotiable constraints
WHENWhen implementing Data.download_symbol or Data.update_symbol
ACTIONOverride the abstract method with source-specific implementation
CONSEQUENCEBase class raises NotImplementedError, preventing any data download operation. The plugin architecture requires subclass implementation for each data source (Yahoo Finance, Binance, CCXT, Alpaca, synthetic).
WHENWhen downloading multiple symbols into Data object
ACTIONVerify each symbols share the same temporal index after alignment
CONSEQUENCEVectorBT performs vectorized matrix operations across symbols. Misaligned indexes cause incorrect broadcast calculations, producing wrong trading signals and invalid backtest results. Matrix operations require uniform index across all symbols.
WHENWhen downloading price data for indicator computation
ACTIONInclude OHLCV columns (Open, High, Low, Close, Volume) in the downloaded data
CONSEQUENCEOHLCV accessors (pd.DataFrame.vbt.ohlcv.*) return None for missing columns, causing indicators like SMA, EMA, MACD to receive empty data and produce NaN results. Downstream portfolio simulation fails with no signals generated.
FAQ
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Changelog
v0.1.0: Initial release on Doramagic.ai. Auto-generated batch-v1 metadata and FAQs based on zvtvz/zvt.