chore: prepare v1.1.0 release

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.
This commit is contained in:
Pratik Bhadane
2026-03-30 12:45:52 +05:30
parent 2d776b6f90
commit 436954138f
174 changed files with 29297 additions and 10773 deletions
+5 -38
View File
@@ -1,8 +1,6 @@
use numpy::{IntoPyArray, PyArray1, PyReadonlyArray1};
use pyo3::prelude::*;
use super::common::*;
#[pyfunction]
pub fn cdlharamicross<'py>(
py: Python<'py>,
@@ -11,41 +9,10 @@ pub fn cdlharamicross<'py>(
low: PyReadonlyArray1<'py, f64>,
close: PyReadonlyArray1<'py, f64>,
) -> PyResult<Bound<'py, PyArray1<i32>>> {
let opens = open.as_slice()?;
let highs = high.as_slice()?;
let lows = low.as_slice()?;
let closes = close.as_slice()?;
let n = opens.len();
super::common::validate_ohlc_length(n, highs.len(), lows.len(), closes.len())?;
let mut result = vec![0i32; n];
for i in 1..n {
let (o1, h1, l1, c1) = (opens[i - 1], highs[i - 1], lows[i - 1], closes[i - 1]);
let (o2, h2, l2, c2) = (opens[i], highs[i], lows[i], closes[i]);
let body1 = body_size(o1, c1);
let body2 = body_size(o2, c2);
let range1 = candle_range(h1, l1);
let range2 = candle_range(h2, l2);
let large_body1 = range1 > 0.0 && body1 >= range1 * 0.5;
// Second candle must be a doji
let is_doji2 = range2 > 0.0 && body2 / range2 <= 0.1;
// Doji body must be inside prior body
let body1_high = o1.max(c1);
let body1_low = o1.min(c1);
let doji_mid = (o2 + c2) / 2.0;
let inside = doji_mid <= body1_high && doji_mid >= body1_low;
// Bullish Harami Cross: prior bearish large candle, doji inside
if is_bearish(o1, c1) && large_body1 && is_doji2 && inside {
result[i] = 100;
}
// Bearish Harami Cross: prior bullish large candle, doji inside
else if is_bullish(o1, c1) && large_body1 && is_doji2 && inside {
result[i] = -100;
}
}
let o = open.as_slice()?;
let h = high.as_slice()?;
let l = low.as_slice()?;
let c = close.as_slice()?;
let result = ferro_ta_core::pattern::cdlharamicross(o, h, l, c);
Ok(result.into_pyarray(py))
}