MCPInstall

indicator-dashboard

Build a web dashboard for technical indicator analysis using Plotly Dash or Streamlit. Supports single-symbol, multi-symbol, and multi-timeframe layouts with real-time refresh.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/marketcalls/openalgo-indicator-skills --skill indicator-dashboard
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads indicator-dashboard automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Create a web dashboard for interactive technical analysis using Plotly Dash or Streamlit.

Arguments

Parse $ARGUMENTS as: type symbol

  • $0 = dashboard type. Default: single
    • Dash types: single, multi-symbol, multi-timeframe, scanner-dashboard
    • Streamlit types: streamlit-single, streamlit-multi, streamlit-scanner
  • $1 = symbol (e.g., SBIN, RELIANCE). Default: SBIN

If no arguments, ask the user what kind of dashboard they want and whether they prefer Dash or Streamlit.

Framework choice: Plotly Dash is the default. Build a Streamlit app ONLY when the user explicitly asks for Streamlit (says "streamlit" or picks a streamlit-* type). Never silently switch frameworks.

Instructions

  1. Read the indicator-expert rules, especially:
    • rules/dashboard-patterns.md — Dash app patterns
    • rules/streamlit-patterns.md — Streamlit app patterns
    • rules/plotting.md — Chart patterns
    • rules/data-fetching.md — Data loading
  2. Create dashboards/{dashboard_name}/ directory (on-demand)
  3. Create app.py in dashboards/{dashboard_name}/
  4. Use the matching template from rules/assets/

Dashboard Requirements

All dashboards must include:

  • Dark theme: Dash uses dbc.themes.DARKLY; Streamlit uses [theme] base = "dark" or CSS injection
  • Symbol input: Text input or dropdown for symbol selection
  • Exchange selector: NSE, BSE, NFO, NSE_INDEX
  • Interval selector: 1m, 5m, 15m, 1h, D
  • Indicator selectors: Checkboxes/multiselect for overlay and subplot indicators
  • Interactive chart: Plotly chart with template="plotly_dark", xaxis_type="category"
  • Stats display: Key metrics (LTP, Change, Volume, indicator values)
  • Auto-refresh: Dash uses dcc.Interval; Streamlit uses st.rerun() with time.sleep()
  • Load .env from project root via find_dotenv()

Dash Dashboard Types

single — Single Symbol Dashboard (Dash)

  • One symbol with configurable indicators
  • Overlays: EMA, SMA, Bollinger, Supertrend, Ichimoku (checkboxes)
  • Subplots: RSI, MACD, Stochastic, Volume, ADX, OBV (checkboxes)
  • Stats panel: LTP, day change, volume, selected indicator values
  • Template: rules/assets/dashboard_basic/app.py

multi-symbol — Multi-Symbol Watchlist (Dash)

  • 4-6 symbols in a grid layout
  • Each cell shows candlestick + one overlay indicator
  • Bottom row: RSI comparison across all symbols
  • Symbol list editable via input

multi-timeframe — MTF Analysis (Dash)

  • 4-panel grid: 5m, 15m, 1h, D for same symbol
  • Same indicators computed on each timeframe
  • Confluence summary: "3/4 timeframes bullish"
  • Template: rules/assets/dashboard_multi/app.py

scanner-dashboard — Live Scanner (Dash)

  • Watchlist of 10+ symbols
  • Table showing: Symbol, LTP, RSI, EMA trend, Signal
  • Color-coded rows (green=bullish, red=bearish)
  • Click symbol to show detailed chart
  • Auto-refresh every 30 seconds

Streamlit Dashboard Types

streamlit-single — Single Symbol Dashboard (Streamlit)

  • Sidebar: symbol, exchange, interval, overlay/subplot multiselect
  • st.plotly_chart() for interactive charts
  • st.metric() for LTP, Change, RSI, EMA stats
  • Auto-refresh via checkbox + st.rerun()
  • Template: rules/assets/streamlit_basic/app.py

streamlit-multi — MTF Analysis (Streamlit)

  • 2x2 grid via st.columns(2) for 4 timeframes
  • Candlestick + EMA overlay per timeframe
  • Confluence summary with st.success()/st.error()/st.warning()
  • st.metric() cards for each timeframe trend
  • Template: rules/assets/streamlit_multi/app.py

streamlit-scanner — Scanner Dashboard (Streamlit)

  • Sidebar: scan type selector, run button
  • st.progress() during scan
  • st.dataframe() for results table
  • st.download_button() for CSV export

Running the Dashboard

After creating the app, provide instructions:

Dash:

cd dashboards/{dashboard_name}
python app.py
# Open http://127.0.0.1:8050 in browser

Streamlit:

cd dashboards/{dashboard_name}
streamlit run app.py
# Open http://localhost:8501 in browser

Example Usage

/indicator-dashboard single SBIN /indicator-dashboard multi-timeframe RELIANCE /indicator-dashboard scanner-dashboard /indicator-dashboard streamlit-single SBIN /indicator-dashboard streamlit-multi RELIANCE /indicator-dashboard streamlit-scanner

FAQ

What does the indicator-dashboard skill do?

Build a web dashboard for technical indicator analysis using Plotly Dash or Streamlit. Supports single-symbol, multi-symbol, and multi-timeframe layouts with real-time refresh.

How do I install indicator-dashboard?

Run npx skills add https://github.com/marketcalls/openalgo-indicator-skills --skill indicator-dashboard in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/indicator-dashboard/ (personal) or .claude/skills/indicator-dashboard/ (project).

Which AI agents can use indicator-dashboard?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is indicator-dashboard safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains indicator-dashboard?

It is published by marketcalls in marketcalls/openalgo-indicator-skills. It has 571 recorded installs.

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