chart-engine 0.9.8

High-performance charting engine built with Rust and Tauri

🚀 LWC Chart Engine

A high-performance charting engine built with Rust, Tauri, and Lightweight Charts. This library provides a seamless, non-blocking Python API for streaming and visualizing large datasets via Polars.

💎 Features

• High Performance: Native Rust backend for low-latency data streaming and stateful $O(1)$ real-time scaling.
• Embedded UI: Zero-config, minified frontend assets bundled directly into the distribution.
• 20+ Technical Indicators: SIMD-optimized calculations using Polars for production-grade speed.
• Interactive Tools: Built-in support for Trendlines, Fibonacci, Boxes, and Position management.
• Python Integration: First-class support for Polars DataFrames and zero-copy Arrow memory mapping.

📈 Technical Indicators (v0.9.8)

LWC Chart Engine comes with a curated suite of 20 high-performance indicators, all calculated on the Rust side to keep your Python main thread responsive.

🌊 Trend & Overlays

• SMA: Simple Moving Average
• EMA: Exponential Moving Average
• WMA: Weighted Moving Average
• HMA: Hull Moving Average
• DEMA: Double Exponential Moving Average
• TEMA: Triple Exponential Moving Average
• VWAP: Volume-Weighted Average Price
• Bollinger Bands: Volatility-based price envelopes
• Keltner Channels: ATR-based trend envelopes
• Donchian Channels: Min/Max range channels

⚡ Oscillators & Momentum (Dedicated Panes)

• RSI: Relative Strength Index
• MACD: Moving Average Convergence Divergence (Line, Signal, Histogram)
• Stochastic: K and D Oscillator
• CCI: Commodity Channel Index
• Williams %R: High-Low range oscillator
• MFI: Money Flow Index
• ROC: Rate of Change

📊 Volatility & Volume

• ATR: Average True Range
• OBV: On-Balance Volume
• ADL: Accumulation/Distribution Line

🚀 Quick Start

📦 Installation

If you have a pre-built wheel (check the wheels/ directory):

uv pip install wheels/chart_engine-0.9.8-cp38-abi3-manylinux_2_39_x86_64.whl

📊 Examples

Dive into the examples/ directory:

• static_charts.py: Rendering historical OHLC data.
• live_chart_emulation.py: Real-time streaming and auto-scrolling.
• indicator_test.py: Comprehensive technical indicator validation.
• multi_chart_layouts.py: Complex multi-pane workspaces.
• paper_trading.py: Integrated trading simulations.

🏗 Prerequisites

To build from source, ensure you have:

• Rust: Latest stable.
• Python: 3.9+.
• Node.js: For asset minification.
• Maturin: pip install maturin.

🐧 Linux Runtime Dependencies

sudo apt update && sudo apt install -y libgtk-3-0 libwebkit2gtk-4.1-0 libjavascriptcoregtk-4.1-0 libayatana-appindicator3-1 librsvg2-2

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maintained by amit vaidya