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chore: update version to 1.1.2 and enhance WASM package

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- Bumped version numbers across Cargo.toml, Cargo.lock, pyproject.toml, and conda/meta.yaml to 1.1.2.
- Updated .gitignore to include new WASM build directories for Node.js and web.
- Enhanced WASM npm package to support both Node.js and browser builds with conditional exports.
- Improved CI workflows for WASM publishing and testing.
- Updated documentation to reflect new features and full indicator parity in the WASM package.
This commit is contained in:
Pratik Bhadane
2026-04-01 23:47:46 +05:30
parent 6cd1714a9f
commit 7b560463f6
21 changed files with 169 additions and 159 deletions
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crates/ferro_ta_core/Cargo.toml
+1 -1
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@@ -1,6 +1,6 @@
[package]
name = "ferro_ta_core"
version = "1.1.1"
version = "1.1.2"
edition = "2021"
description = "Pure Rust core indicator library — no PyO3, no numpy dependency"
license = "MIT"
crates/ferro_ta_core/README.md
+28 -20
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@@ -7,13 +7,13 @@ PyO3, NumPy, or Python runtime dependency, which makes it a good fit for:
- Rust-native technical analysis workloads
- custom services and backtesting engines
- future non-Python bindings such as WASM and other FFI layers
- non-Python bindings (WASM, FFI)
## Installation
```toml
[dependencies]
ferro_ta_core = "1.1.1"
ferro_ta_core = "1.1.2"
```
## Design
@@ -25,12 +25,31 @@ ferro_ta_core = "1.1.1"
## Modules
- `overlap` - moving averages, MACD, Bollinger Bands
- `momentum` - RSI, MOM
- `volatility` - ATR, TRANGE
- `volume` - OBV
- `statistic` - STDDEV
- `math` - rolling SUM/MAX/MIN helpers
| Module | Functions | Highlights |
|--------|-----------|------------|
| `overlap` | 20 | SMA, EMA, WMA, DEMA, TEMA, TRIMA, KAMA, T3, BBANDS, MACD, MACDFIX, MACDEXT, SAR, SAREXT, MAMA, MIDPOINT, MIDPRICE, MA, MAVP, Hull MA |
| `momentum` | 26 | RSI, MOM, STOCH, STOCHF, ADX, ADXR, DX, +DI, -DI, +DM, -DM, ROC, WILLR, AROON, CCI, BOP, STOCHRSI, APO, PPO, CMO, TRIX, ULTOSC |
| `volatility` | 3 | ATR, NATR, TRANGE |
| `volume` | 4 | OBV, MFI, AD, ADOSC |
| `pattern` | 61 | All TA-Lib candlestick patterns (CDL2CROWS through CDLXSIDEGAP3METHODS) |
| `statistic` | 9 | STDDEV, VAR, LINEARREG, LINEARREG_SLOPE/INTERCEPT/ANGLE, TSF, BETA, CORREL |
| `math` | 24 | Rolling SUM/MAX/MIN/MAXINDEX/MININDEX, element-wise ADD/SUB/MULT/DIV, 15 transforms (trig, exp, log, sqrt, ceil, floor) |
| `price_transform` | 4 | AVGPRICE, MEDPRICE, TYPPRICE, WCLPRICE |
| `cycle` | 7 | Hilbert Transform: TRENDLINE, DCPERIOD, DCPHASE, PHASOR, SINE, TRENDMODE |
| `extended` | 10 | VWAP, VWMA, Supertrend, Donchian, Keltner, Ichimoku, Pivot Points, Hull MA, Chandelier Exit, Choppiness Index |
| `streaming` | 9 | Stateful bar-by-bar: SMA, EMA, RSI, ATR, BBands, MACD, Stoch, VWAP, Supertrend |
| `batch` | 8 | Vectorized multi-column: batch_sma/ema/rsi/atr/stoch/adx, run_close/hlc_indicators |
| `backtest` | 19 | Signal generators, close-only and OHLCV engines, walk-forward, Monte Carlo, performance metrics |
| `options` | 18 | Black-Scholes/Black-76 pricing, Greeks, implied volatility, IV rank/percentile/zscore, smile metrics, chain analytics |
| `futures` | 14 | Basis, annualized basis, carry, roll (weighted/back-adjusted/ratio), curve analysis, synthetic forward/spot |
| `portfolio` | 10 | Beta, correlation matrix, drawdown, relative strength, spread, ratio, z-score, portfolio volatility |
| `signals` | 4 | Rank values, compose rank, top/bottom N indices |
| `alerts` | 3 | Threshold crossings, cross detection, alert bar collection |
| `regime` | 4 | ADX regime, combined regime, CUSUM breaks, variance breaks |
| `aggregation` | 3 | Tick bars, volume bars, time bars from trade data |
| `resampling` | 2 | Volume bars, OHLCV aggregation by label |
| `chunked` | 4 | Trim overlap, stitch chunks, make chunk ranges, forward fill NaN |
| `crypto` | 3 | Funding cumulative PnL, continuous bar labels, session boundaries |
## Example
@@ -49,18 +68,7 @@ fn main() {
## Relationship To `ferro-ta`
The published Python package:
- crate: `ferro_ta`
- PyPI package: `ferro-ta`
wraps this crate with PyO3 bindings and adds:
- NumPy conversion
- pandas/polars wrappers
- streaming classes
- batch helpers
- higher-level Python tooling
The published Python package (`ferro-ta` on PyPI) wraps this crate with PyO3 bindings and adds NumPy conversion, pandas/polars wrappers, and higher-level Python tooling. The WASM package (`ferro-ta-wasm` on npm) also wraps this crate with full feature parity.
If you only need Rust indicator functions, use `ferro_ta_core` directly.