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.

Instructions

• 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

• Create dashboards/{dashboard_name}/ directory (on-demand)

• Create app.py in dashboards/{dashboard_name}/

• 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