volas
Unverified Other strategy on Indices by kaelzhang. BotFinder score 18 out of 100.
🚀 Rust-backed pandas-shaped DataFrame for live OHLCV data: 254 indicators, incremental O(lookback) refresh, NumPy/Torch output.
Source: github
BotFinder analysis pending.
volas
English | 简体中文 High-performance, Rust-backed columnar kernel for stock / candlestick (OHLCV) time-series data. volas is a Rust-backed, pandas-shaped DataFrame for live OHLCV pipelines: 254 trading-indicators, incremental O(lookback) refresh, and NumPy/Torch-ready output. It is not a general-purpose pandas replacement. It is a narrow, fast DataFrame for candlestick / OHLCV workflows: append a new bar, keep indicator columns cached, and refresh only the stale tail. volas is also a Rust crate. - 254 built-in indicators and TA-Lib-compatible directives - Incremental refresh after append: O(lookback), not O(n) - Rust kernels, no pandas runtime dependency - pandas-shaped indexing: .loc / .iloc / .at / readcsv / tonumpy - NumPy / Torch-ready output On our reproducible benchmark suite, volas is faster than pandas, polars, stock-pandas and TA-Lib on most live-update indicator workloads. Why volas - pandas-shaped API. The same .loc / .iloc / .at, readcsv, tonumpy and resampling — for OHLCV workflows, change the import and keep your code. It is not a general-purpose pandas replacement. (See wha
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