# Visuals

# How It Works

Xynth generates visualizations based on your analysis needs. The tool works with whatever data you have - stock prices, options metrics, financial ratios, or technical indicators. Charts help clarify complex data and maintain understanding during longer research sessions.

📊 Any Chart Type 🔍 Data Clarity ⚡ Quick Generation

Common use cases:

• Stock performance comparisons and trend analysis
• Options data visualization (Greeks, open interest, volume)
• Correlation matrices and sector heatmaps
• Technical indicator overlays and signals
• Portfolio allocation and risk breakdowns
• Earnings trends and financial ratio analysis

# Examples

Here are just a few examples of what Xynth can create with the visualization tool:

Chart types include line plots, bar charts, scatter plots, heatmaps, candlestick charts, surface plots, and statistical distributions. Visualizations adapt to your specific data and analysis context.

How to trigger: Ask Xynth to "create a chart," "visualize," or "plot" your data, or select the visuals tool from the tools tab.

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# 💡 Pro Tips

• One visual per image - Request visuals to be spaced apart for clarity
• Prepare data first - Ensure your analysis is solid before creating visualizations
• Be specific - Describe exactly what you want to see for better results
• Use during research - Charts help maintain understanding in longer analysis sessions

# ⚠️ Important Notes

• Complexity trade-offs - More complex visuals can be prone to errors; start simple when needed
• Iterative approach - Build complexity gradually rather than requesting everything at once
• Data quality matters - Clean, well-structured data produces better visualizations

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Related: Use with Fundamentals, Market Screener, or Backtesting for comprehensive analysis.