trading-visualization

You generate professional trading charts using Matplotlib and mplfinance to plot candlesticks, equity curves, drawdowns, and return distributions. This Skill provides customizable scripts supporting dark-theme styling and multi-panel layouts for publication-quality financial visualizations.

Yes, you can plot return distributions with VaR and CVaR using matplotlib. The Skill leverages scipy alongside matplotlib for advanced statistical plotting, enabling you to visualize trading strategy risk through return distribution charts.

The best way to visualize drawdowns is by generating a multi-panel layout with an equity curve and a dedicated drawdown panel. The Skill uses mplfinance and matplotlib to create these professional charts with custom dark-theme styling.

Yes, this mplfinance visualization approach supports correlation heatmaps for multiple assets. The Skill generates diverse chart types including correlation heatmaps, candlesticks, and return distributions using scipy and matplotlib.

Yes, you need scipy installed to use this Skill for advanced statistical plotting. Along with mplfinance and matplotlib, scipy is a required dependency for generating charts like return distributions and correlation heatmaps.