mktlib 0.6.3

Polars-native financial market toolkit

mktlib

Financial market toolkit built entirely on Polars.

tl;dr

• Fast enough for real work — vectorized Polars engine grid-searches thousands of parameter combos on minute-bar data without reaching for Numba or Cython
• Lightweight — core is Polars-only; numpy is the sole extra for synthetic data generation. No pandas, no heavy ML stack
• Well tested — cross-validated exchange calendars, property-based OHLCV checks, and full backtest parity tests across engines
• Swiss-army knife — scheduling, rates, metrics, backtesting, reporting, and data generation in one package. Great for learning, prototyping, or production
• Apache 2.0 — use it anywhere, fork it, vendor it, no strings attached

Disclaimer: Backtesting results and any computed market returns are for educational and research purposes only. They do not constitute financial advice, and past performance does not indicate future results.

For full documentation, see polars-mktlib.readthedocs.io.