LightningChart Python Trader - High-Performance Financial Charts for Python

LightningChart Python Trader is a Python library for visualizing financial data with unmatched performance. Designed for real-time trading and finance applications, it enables fast and customizable charting with programmatic control and advanced technical analysis tools.

Watch the showcase video below:

Key Features

• Financially focused chart types: Includes Candlestick, Bar, Line, Mountain, Heikin-Ashi, Renko, Kagi, and Point & Figure charts.
• 100+ built-in technical indicators: Covers moving averages (EMA, SMA, TMA), envelopes (Bollinger Bands, Donchian Channels), oscillators (Price and Money with different types), volatility and trend indicators, and statistical tools and open interest.
• Drawing tools: Over 30 built-in options spanning Lines, Fibonacci tools, Patterns & Shapes, Channels, Measurement, Text, Symbols & Objects, and more.
• Dashboard layouts: Create customizable workspaces with multiple charts, timeframes, and indicators.
• Over 100 built-in technical indicators (e.g., SMA, EMA, oscillators, volatility tools).
• Programmatic UI control: Offers helper methods to show/hide UI elements.

Getting Started

Installation

pip install lightningchart_trader

Basic Example

from lightningchart_trader import TAChart

license_key = "your-license-key"

trader = TAChart(license_key)
trader.load_csv(csv='data/Tesla.csv')
trader.set_price_chart_type('CandleStick')
trader.open()

About Performance

LightningChart Python Trader benefits from the same high-performance rendering as LightningChart Python, which on average, outperforms other Python libraries dramatically.

Read Performance Benchmark for more details.

Gallery

• More Examples

Useful Links

• Request a Trial License
• Developer Documentation
• API Documentation
• Tutorials
• List of available Indicators
• List of available Drawing Tools
• List of available Technical Analysis Methods
• Terms of use