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