The most complete Python Library for visualizing
financial data
LightningChart Python Trader: Technical analysis charts for financial data visualization
Built-in charts for visualizing your financial data including Candle-Sticks, Bars, Line, Mountain,
Heikin-Ashi, Renko, Kagi, and Point & Figure charts.
Python financial graphing library
Meet the best technology for visualizing financial and trading data with LightningChart Python Trader
WebGL rendering
WebGL leverages the GPU for smoother and high-performance rendering, outperforming charting technologies based on HTML5 Canvas or SVG.
GPU acceleration
GPU acceleration is leveraged to handle large datasets and real-time updates, ensuring smooth performance even with extensive financial. datasets.
High-end visuals
Built-in powerful, interactive, and customizable charts for visualizing large and complex financial and trading datasets.
Scalability
Comprehensive and well-structured API documentation, ensuring a an easy user experience to get started with visualizing financial data in no time.
Built-in functionalities with finance at the core
Perform advanced financial data visualization with ready-to-use tools
Get LightningChart Python Trader
Get the charting package you need - customize your subscription
| License type | Commercial | |
| Technical indicators | 100+ | |
| Drawing Tools | 30+ | |
| Charts | ||
| Candlestick |
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| Bar |
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| Line |
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| Mountain |
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| Heikin Ashi |
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| Renko |
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| Kagi |
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| Point & Figure |
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Add scientific LightningChart® Python charts |
$24 USD
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| Ultra-high-performance 2D real-time charts |
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| 3D surface, line and bar charts |
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| Parallel coordinates charts with filters |
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| Polar charts |
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| Map charts |
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| Treemap charts |
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| Gauges |
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$75 USD
month / user
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Get LightningChart Python Trader
Get the charting package you need - customize your subscription
Includes
- 100+ built-in technical indicators
- 30+ drawing tools
- Chart customization
- Interactive controls
- Flexible data inputs
- Save custom templates
- Heatmaps
- External environment integrations
- Technical analysis for real-time data
