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charting

Construct financial charts from normalized data using Python Polars and TypeScript Highcharts.

18|3|Updated Jan 20, 2026
Search Tags:#data visualization#financial analysis#equity research#highcharts#financial chart
One-click install
npx skills add https://github.com/mohitjandwani/analyst-kit --skill charting-mohitjandwani
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: charting
Source: https://github.com/mohitjandwani/analyst-kit/tree/main/skills/charting
Command: npx skills add https://github.com/mohitjandwani/analyst-kit --skill charting-mohitjandwani

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires polars, highcharts, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the process of building visually appealing and informative financial charts from company fundamentals.

Core Features & Use Cases

  • Financial Chart Creation: Generates a variety of charts, including line, bar, waterfall, and candlestick charts.
  • Data Normalization: Automatically normalizes data for accurate charting.
  • Customization: Allows for customization of chart appearance and functionality.
  • Use Case: Suppose you want to visualize a company's revenue trends over the last five years. Use this Skill to generate a line chart that clearly presents the data.

Quick Start

Use the charting skill to generate a revenue trend chart for 'AAPL' over the last 5 years.

Frequently Asked Questions about charting

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create financial charts from normalized company fundamentals data?▼

Financial charts can be created by processing normalized company fundamentals with Polars and rendering them via Highcharts. This generates line, bar, waterfall, and candlestick charts to visualize revenue, margin, and earnings metrics.

What types of financial charts can I generate for equity research?▼

For equity research, you can generate line, bar, waterfall, and candlestick charts. These options support financial analysis by visualizing revenue, margin, earnings, and price metrics from normalized data.

Do I need Polars and Highcharts to build financial data visualizations?▼

Yes, Polars and Highcharts are required. Polars handles Python data normalization and processing, while Highcharts manages TypeScript rendering to produce visual financial charts.

What's the best way to visualize a company's revenue trends over the last five years?▼

Visualizing revenue trends is best achieved by generating a customized line chart from normalized financial data. The process automatically normalizes the data to clearly present multi-year revenue trends.

Can I customize the appearance of financial charts generated for analysis?▼

Yes, financial charts generated for analysis allow customization of appearance and functionality. This ensures the visual output meets specific presentation needs for metrics like earnings or price data.

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