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chore: prepare v1.1.0 release

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Update version numbers across Rust, Python, and documentation files to 1.1.0. Enhance the .gitignore to include macOS dSYM files and plans directory. Introduce new dependencies in the Rust core library and update the README to reflect recent performance benchmarks and backtesting engine capabilities. Add new artifacts to the benchmarks manifest and improve documentation for the backtesting engine API.
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Pratik Bhadane
2026-03-30 12:45:52 +05:30
parent 2d776b6f90
commit 436954138f
174 changed files with 29297 additions and 10773 deletions
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README.md
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@@ -31,9 +31,10 @@ The latest checked-in TA-Lib comparison artifact uses contiguous `float64`
arrays at 10k and 100k bars on an `Apple M3 Max`, `CPython 3.13.5`, and `Rust
1.91.1`.
- `ferro-ta` is ahead outside the tie band on 6 of 12 indicators at both 10k and 100k bars.
- Strong public wins in the latest 100k-bar artifact include `SMA` (`2.28x`), `BBANDS` (`2.34x`), `MFI` (`3.04x`), and `WMA` (`2.39x`).
- TA-Lib still wins or ties on parts of the suite, including `STOCH`, `ADX`, and some current `EMA` / `RSI` / `ATR` runs.
- `ferro-ta` achieves competitive parity with TA-Lib, winning on 7 of 12 tested indicators at 100k bars (5 of 12 at 10k bars).
- Strong performance wins at 100k bars include `MFI` (`3.25×`), `WMA` (`2.20×`), `BBANDS` (`1.97×`), and `SMA` (`1.93×`) vs TA-Lib.
- TA-Lib maintains performance advantages on `STOCH` and `ADX`; `EMA`, `ATR`, and `OBV` are statistical ties.
- Compared to pure-Python libraries like Tulipy, `ferro-ta` provides 150-350x speedups through Rust-optimized implementations.
See the benchmark methodology and artifacts: