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visualization

Create interactive charts and dashboards from OpenAlgo data using Plotly and Streamlit.

2|5|Updated Jan 4, 2026
Search Tags:#charts#dashboard#visualization#streamlit#candlestick#payoff#openalgo
One-click install
npx skills add https://github.com/marketcalls/openalgo-claude-plugin --skill visualization
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: visualization
Source: https://github.com/marketcalls/openalgo-claude-plugin/tree/main/plugins/openalgo-python/skills/visualization
Command: npx skills add https://github.com/marketcalls/openalgo-claude-plugin --skill visualization

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openalgo, plotly, numpy, and includes scripts (resource) components.

What problem does it solve?

Visualize OpenAlgo data to create clear, interactive charts and dashboards for monitoring markets and strategy payoffs.

Core Features & Use Cases

  • Candlestick, OHLC, and volatility visualizations for real-time and historical data.
  • Payoff diagrams for options strategies and P&L dashboards for portfolio monitoring.
  • Quick integration with Streamlit dashboards to build real-time monitoring tools.

Quick Start

Run a minimal visualization script to render a candlestick chart using OpenAlgo data.

Frequently Asked Questions about visualization

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

FAQPage Schema
How do I build a real-time candlestick dashboard using OpenAlgo data?▼

Interactive OpenAlgo data visualization is produced by fetching market data via the OpenAlgo API and rendering charts with Plotly and Streamlit. It displays real-time candlestick charts, OHLC data, and P&L dashboards for NSE, NFO, and MCX markets.

Can I visualize options payoff diagrams for my trading strategies?▼

Yes, you can visualize options payoff diagrams. The Skill generates interactive payoff diagrams for options strategies and portfolio P&L monitoring, allowing traders to analyze risk and reward scenarios directly within a Streamlit dashboard.

Do I need a Python environment with the OpenAlgo SDK to render Streamlit charts?▼

Yes, a Python environment with the OpenAlgo SDK installed is required. The Skill depends on the OpenAlgo API to fetch market data, alongside Plotly and NumPy, to compute and render the visualizations within your Streamlit dashboard application.

What is the best way to monitor real-time P&L and volatility for NSE and MCX markets?▼

The best way to monitor real-time P&L and volatility for NSE and MCX markets is by using this Skill to construct a Streamlit dashboard. It ingests OpenAlgo data streams to render live portfolio P&L, OHLC, and volatility visualizations for continuous tracking.

How does OpenAlgo API integration work with Plotly for historical data visualization?▼

OpenAlgo API integration fetches historical market data and passes it to Plotly for rendering interactive charts. This combination allows traders and data analysts to visualize past OHLC and candlestick patterns directly within a Python-based Streamlit interface.

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