An interactive high-performance charting library for financial data visualization and technical analysis
Project description
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
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