Stock Visualization

Comprehensive chart generation for Chinese stock analysis.

Quick Start

python
1import sys
2sys.path.append('F:/Users/shiyo/80.soft_dev/Stocks/.claude/skills')
3from chart_visualizer import ChartVisualizer
4
5visualizer = ChartVisualizer()
6visualizer.plot_candlestick('600519', days=120, save_path='chart.png')

Chart Types

Candlestick Chart

python
1visualizer.plot_candlestick(
2    symbol='600519',
3    days=120,
4    show_ma=True,      # Show moving averages
5    show_volume=True,  # Show volume
6    save_path='candlestick.png'
7)

MACD Chart

python
1visualizer.plot_macd(
2    symbol='600519',
3    days=120,
4    save_path='macd.png'
5)

KDJ Chart

python
1visualizer.plot_kdj(
2    symbol='600519',
3    days=120,
4    save_path='kdj.png'
5)

Combined Chart

python
1visualizer.plot_combined(
2    symbol='600519',
3    days=120,
4    indicators=['ma', 'macd', 'volume'],
5    save_path='combined.png'
6)

Multi-Stock Comparison

python
1# Compare multiple stocks
2symbols = ['600519', '000858', '002415']
3visualizer.plot_comparison(
4    symbols=symbols,
5    days=120,
6    normalize=True,    # Normalize to percentage
7    save_path='comparison.png'
8)

Equity Curve

python
1# For backtest results
2equity_data = backtest_result['equity_curve']
3visualizer.plot_equity_curve(
4    equity_data=equity_data,
5    save_path='equity_curve.png'
6)

Custom Styling

python
1visualizer = ChartVisualizer(
2    style='dark',        # 'dark' or 'light'
3    figsize=(14, 8),
4    dpi=100
5)

See chart_types.md for all available chart options and styling.