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.

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: Streamlit: 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

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