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visualization

Convert OpenAlgo trading data into interactive Plotly and Streamlit visualizations.

Updated May 19, 2026
Search Tags:#visualization#plotly#streamlit#openalgo#trading charts#options payoff#pnl dashboard
One-click install
npx skills add https://github.com/sarkcesscrewpay/trading-intelligence-system --skill visualization-sarkcesscrewpay
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: visualization
Source: https://github.com/sarkcesscrewpay/trading-intelligence-system/tree/main/skills/visualization
Command: npx skills add https://github.com/sarkcesscrewpay/trading-intelligence-system --skill visualization-sarkcesscrewpay

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the problem of turning raw OpenAlgo market data into actionable, decision-ready visualizations so traders can quickly interpret price action, options risk/reward, and portfolio performance.

Core Features & Use Cases

  • Candlestick & indicator charts: Build interactive candlestick charts with optional volume and overlay moving averages to spot trends and inflection points (e.g., SMA/EMA over a selected date range).
  • Options payoff diagrams: Generate payoff curves for long calls, iron condors, and straddles to evaluate outcomes across a spot price range at expiry.
  • Real-time Streamlit dashboards: Create live watchlists and P&L/holdings dashboards using OpenAlgo endpoints for continuous monitoring.
  • Chart pattern overlays: Identify and plot support/resistance lines to contextualize key price levels on candlestick charts.

Quick Start

Generate a real-time watchlist and dashboard by running the P&L dashboard Streamlit app from the provided Streamlit script.

Frequently Asked Questions about visualization

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

FAQPage Schema
How do I build interactive trading charts using OpenAlgo market data?▼

You can build interactive trading charts by converting OpenAlgo market data into candlestick charts with moving-average overlays using Python, Plotly, and Streamlit to visualize price action and spot trends.

How do I create an options payoff diagram for strategies like iron condors?▼

To create an options payoff diagram, the skill evaluates outcomes across a spot price range at expiry to generate payoff curves for long calls, iron condors, and straddles, allowing you to assess options risk and reward visually.

Can I use Streamlit to monitor real-time portfolio P&L from OpenAlgo endpoints?▼

Yes, you can use Streamlit to create real-time watchlists and P&L dashboards by connecting to OpenAlgo endpoints, enabling continuous monitoring of your holdings and portfolio performance.

Does this visualization approach support adding support and resistance lines to candlestick charts?▼

Yes, the visualization approach supports chart pattern overlays, allowing you to identify and plot support and resistance lines directly on candlestick charts to contextualize key price levels.

What is the best way to overlay moving averages on price charts for trend analysis?▼

The best way to overlay moving averages is by using Plotly with OpenAlgo data to render interactive candlestick charts, applying SMA or EMA overlays over a selected date range to spot inflection points.

Do I need Python to run the real-time watchlist and dashboard Streamlit app?▼

Yes, you need Python to run the real-time watchlist and dashboard Streamlit app, as the workflow uses Python with OpenAlgo APIs for data retrieval and Plotly/Streamlit to render the interactive visualizations.

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