AI Prompts for Financial Analysis

Use these prompts when you need an AI tool to reshape, explain, or QA a structured-finance chart. They are written for CMBS and ABS data, where source context, labels, and numeric accuracy matter.

What Are AI Prompts?

AI prompts are carefully constructed instructions that guide artificial intelligence models to perform specific analytical tasks. In the context of financial analysis, these prompts act as your analytical assistant, helping you:

• Interpret complex data patterns in mortgage and asset-backed securities
• Generate comprehensive reports from raw financial data
• Identify risk factors and concentration issues
• Create visualizations and charts from datasets
• Compare performance across different deals and time periods
• Forecast scenarios based on current market conditions

Full Prompt Directory

Data Comparison

• Comparing Two Time Periods - Build year-over-year, before-and-after, and sequential comparisons for CMBS and ABS performance.
• Comparing Two Data Sources - Reconcile two datasets, filings, or chart exports before drawing conclusions.
• Filtering Specific Data Segments - Isolate the loans, periods, or categories that matter for a review.
• Highlighting Important Data - Direct attention to the figures that drive the chart's conclusion.
• Generating Summary Reports - Turn chart data into a concise analyst summary.

Chart Transformation

• Converting One Chart Type to Another - Convert bar charts to line charts, pie charts to tables, and other presentation formats.
• Combining Multiple Charts - Merge related DealCharts visuals into one review pack.
• Creating Multi-Axis Charts - Compare metrics with different units without losing scale context.
• Creating Infographic-Style Charts - Make a chart easier to present while preserving the underlying numbers.

Visual Styling

• Customizing Chart Colors - Adapt colors for a committee deck or internal style guide.
• Using Gradients and Solid Colors - Choose chart fills that aid interpretation instead of decoration.
• Maintaining Consistent Chart Styles - Standardize repeated charts across a report.
• Transforming Chart Fonts - Improve legibility in labels, legends, and titles.
• Modifying Chart Legends - Rewrite legends so the chart can stand alone.
• Enhancing Chart Backgrounds - Clean up chart backgrounds without hiding gridlines or source context.

Analysis and Communication

• Simplifying Complex Data - Explain dense structured-finance charts for mixed audiences.
• Adding Annotations and Highlights - Add notes that clarify events, source caveats, and inflection points.

Interactivity

• Incorporating Interactive Elements - Add hover states, clickable segments, and drill-down prompts.
• Interactive Chart Modifications - Describe chart changes that should respond to user input.
• Automatic Chart Customization Bot - Design repeatable rules for chart cleanup and review.

Getting Started with AI-Powered Analysis

Start with the chart or data table you already trust. Tell the model what the chart shows, where it came from, and which output you need. Then verify that the transformed chart still matches the source figures.

• Clear instructions for optimal results
• Example outputs showing what to expect
• Customization tips for adapting to your specific needs
• Best practices for working with AI tools

Interactive Chart Analysis

On every chart page throughout our site, you'll find ready-to-use prompts specifically tailored to that dataset. These prompts allow you to:

• Copy both the prompt and chart image directly to your clipboard
• Paste everything into your AI tool for immediate analysis
• Get contextual insights specific to that particular deal or dataset
• Generate custom reports based on the exact data you're viewing