{"repo":"kaelzhang/volas","free":true,"listed":false,"github":"https://github.com/kaelzhang/volas","clone":"git clone https://github.com/kaelzhang/volas.git","description":"🚀 Rust-backed pandas-shaped DataFrame for live OHLCV data: 254 indicators, incremental O(lookback) refresh, NumPy/Torch output.","language":"Rust","stars":11,"topics":["bollinger-bands","candlestick","moving-average","pandas","quant","quantitative-finance","ta-lib","technical-analysis","trading","ohlcv"],"license":"MIT","category":"trading","readme_excerpt":"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 / read csv / to numpy - 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 , read csv , to numpy and resampling — for OHLCV workflows, change the import and keep your code. It is not a general-purpose pandas replacement. (See what's not covered) - Fast on live OHLCV indicator workloads , with reproducible benchmarks — see the always-current live benchmark report. - On the current published report, volas beats TA-Lib on 139 / 157 covered indicators by the default ratio — reproducible via make benchmark . - On incremental update (each new bar), volas is the fastest of every library across all indicators — 5× faster th","default_branch":null,"files":null,"tree":[],"storefront":"/r/kaelzhang","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/kaelzhang/volas/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}