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Volas library cuts OHLCV indicator recompute time with Rust-backed Python DataFrame

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A developer has released Volas, an open-source Rust-backed Python DataFrame library designed to streamline OHLCV candlestick data pipelines for trading and ML workflows. The tool addresses a common bottleneck where every new market bar triggers a full recomputation of technical indicators such as RSI, MACD, and Bollinger Bands, even when most of the data remains unchanged. Volas instead refreshes only the affected tail of the dataset on each new bar append or update, significantly reducing processing overhead. The library offers over 250 built-in trading indicators, a pandas-style API, and NumPy/PyTorch output compatibility for downstream use. Public benchmarks are available on the project's website, and the developer is actively seeking community feedback on the directive API, missing indicators, and performance comparisons against tools like TA-Lib and pandas-ta.

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Volas library cuts OHLCV indicator recompute time with Rust-backed Python DataFrame · ShortSingh