# TulipRS
[](https://crates.io/crates/tulip_rs)
[](https://docs.rs/tulip_rs)
[](LICENSE)
**High-performance technical analysis in Rust.**
TulipRS implements 100+ technical indicators and 77+ candlestick patterns with
first-class SIMD acceleration. Process multiple assets or multiple parameter
sets in a single CPU pass, stream live bars into stateful indicators without
reprocessing history, and call everything from Rust or Python with the same
universal API.
📖 **[Full documentation](https://me60732.github.io/tulip_rs)**
---
## Why TulipRS?
| **SIMD — multiple assets** | ✅ N assets in one pass | ❌ one asset at a time |
| **SIMD — multiple options** | ✅ N parameter sets in one pass | ❌ one parameter set at a time |
| **Stateful streaming** | ✅ resume from `IndicatorState` | ❌ full recompute each tick |
| **Optional outputs** | ✅ free in the same pass | ❌ separate call + full scan |
| **Language bindings** | Rust + Python (more planned) | C, various wrappers |
When optional intermediate outputs are needed (sub-EMAs, TR, AD line, etc.)
TulipRS is **1.3× – 8.7× faster** than running the equivalent TA-Lib calls.
---
## Installation
### Rust
Add TulipRS to your `Cargo.toml`:
```toml
[dependencies]
tulip_rs = "0.1.6"
```
To get the very latest unreleased changes, use the Git source directly:
```toml
[dependencies]
tulip_rs = { git = "https://github.com/me60732/tulip_rs" }
```
> **Nightly required.** TulipRS uses `portable_simd`. The correct nightly
> version is pinned automatically by `rust-toolchain.toml` — no manual
> toolchain management needed.
To disable the SIMD variants (reduces compile time):
```toml
tulip_rs = { version = "0.1.6", default-features = false }
```
### Python
```bash
pip install tulip-rs
```
Build from source with native CPU optimisations:
```bash
git clone https://github.com/me60732/tulip_rs_python
cd tulip_rs_python
RUSTFLAGS="-C target-cpu=native" maturin develop --release
```
---
## Quick Start
Every indicator follows the same signature — learn it once, use it everywhere.
### Rust
```rust
use tulip_rs::indicators::ema::indicator;
let close = vec![81.59, 81.06, 82.87, 83.00, 83.61,
83.15, 82.84, 83.99, 84.55, 84.36_f64];
// inputs: &[&[f64]] | options: &[f64] | optional_outputs: Option<&[bool]>
let (outputs, state) = indicator(&[close.as_slice()], &[5.0], None).unwrap();
println!("{:?}", outputs[0]); // EMA(5) values
// Streaming: feed new bars without reprocessing history
let new_bar = [85.10_f64];
let (next_outputs, next_state) = state.batch_indicator(&[&new_bar], None).unwrap();
```
### Python
```python
import numpy as np
import tulip_rs
close = np.array([81.59, 81.06, 82.87, 83.00, 83.61,
83.15, 82.84, 83.99, 84.55, 84.36], dtype=np.float64)
outputs, state = tulip_rs.indicators.ema.indicator([close], [5.0])
print(outputs[0]) # EMA(5) values
# Streaming
next_outputs, next_state = state.batch_indicator([np.array([85.10])], None)
```
### SIMD — same indicator, N assets at once (Rust)
```rust
use tulip_rs::indicators::ema::indicator_by_assets;
// 4 assets processed simultaneously in one CPU pass
let inputs = [asset1.as_slice(), asset2.as_slice(),
asset3.as_slice(), asset4.as_slice()];
let results = indicator_by_assets::<4>(&inputs, &[14.0], None).unwrap();
```
---
## Benchmarks
Benchmarks compare TulipRS (Rust scalar, Rust SIMD) against the reference
C implementation (Tulip Indicators) and TA-Lib across 8 real market symbols.
→ **[Benchmark results](https://me60732.github.io/tulip_rs/benchmarks/results/)**
→ **[How to run the benchmarks](https://me60732.github.io/tulip_rs/benchmarks/setup/)**
---
## Indicators
| **Moving Averages** | SMA, EMA, WMA, DEMA, TEMA, TRIMA, HMA, ZLEMA, KAMA, VIDYA, VWMA, Wilders, SMA Envelope |
| **Oscillators** | RSI, MACD, Stochastic, StochRSI, Williams %R, CCI, CMO, Ultimate Oscillator, AO, Fisher Transform, FOSC, MSW, TRIX |
| **Trend** | ADX, ADXR, DI, DM, DX, Aroon, Aroon Osc, PSAR, PPO, APO, Vortex, Elder-Ray, Donchian Channel, Ichimoku, SuperTrend, Efficiency Ratio, MAMA |
| **Volatility** | BBands, ATR, NATR, TR, StdDev, Volatility, VHF, CVI, Chandelier Exit, Keltner Channel, TRVI |
| **Volume** | AD, ADOSC, OBV, MFI, NVI, PVI, VOSC, KVO, EMV, WAD, MarketFi, ChaikinMF, VWAP |
| **Price & Statistical** | AvgPrice, MedPrice, TypPrice, WCPrice, Max, Min, MOM, ROC, ROCR, BOP, LinReg, TSF, DPO, Mass, MD, QStick, PivotPoint |
| **Cycle & Ehlers** | CyberCycle, Adaptive MSW, Homodyne Discriminator, Instantaneous Trendline, TrendMode, High Pass Filter, Hilbert Transform, Roofing Filter, Super Smoother, CC Fisher |
| **Candlestick** | 77+ patterns via `tulip_rs::indicators::candlestick` |
---
## Documentation
| [Getting Started](https://me60732.github.io/tulip_rs/getting_started/) | Installation, feature flags, calling convention, first examples |
| [Indicators — Overview](https://me60732.github.io/tulip_rs/indicators/) | Full indicator index with inputs, options, and output counts |
| [Indicator API](https://me60732.github.io/tulip_rs/indicators/indicator_api/) | `info()`, `min_data()`, optional outputs, state continuation |
| [SIMD](https://me60732.github.io/tulip_rs/simd/) | By-assets and by-options modes, lane counts, when to use each |
| [State Management](https://me60732.github.io/tulip_rs/state_management/) | Streaming computation, chunked processing, JSON serialisation |
| [Candlestick Patterns](https://me60732.github.io/tulip_rs/candlestick_patterns/) | 60+ patterns with bullish/bearish forecasting |
| [Language Bindings](https://me60732.github.io/tulip_rs/language_bindings/) | Python (PyO3/maturin) details and planned bindings |
---
## Language Support
| **Rust** | ✅ Native | `tulip_rs` (this repo) |
| **Python** | ✅ Supported | [`tulip_rs_python`](https://github.com/me60732/tulip_rs_python) · `pip install tulip-rs` |
| **Node.js** | ✅ Supported | [`tulip-rs-node`](https://github.com/me60732/tulip_rs_node) · `npm install tulip-rs-node` |
| **WASM** | ✅ Supported | [`tulip-rs-wasm`](https://github.com/me60732/tulip_rs_wasm) |
| R | 🔜 Planned | — |
| Julia | 🔜 Planned | — |
---
## License
[MIT](LICENSE)