Our review
Build an interactive web dashboard for technical indicator analysis using Plotly Dash or Streamlit.
Strengths
- Supports multiple dashboard types (single‑symbol, multi‑symbol, multi‑timeframe, scanner)
- Built‑in dark theme and selectors for symbol, exchange, and interval
- Real‑time auto‑refresh with dcc.Interval or st.rerun()
- Uses predefined templates to accelerate development
Limitations
- Requires prior setup of dependency rules
- Dashboards are not automatically deployed
- Limited to basic technical indicators without advanced customization
Use this skill when you need a visual, interactive technical analysis dashboard for one or more stock symbols with common indicators.
Avoid this skill if you need complex quantitative analysis or an automated trading system without a user interface.
Security analysis
SafeThe skill creates a local web dashboard for technical analysis using Plotly Dash or Streamlit. It involves file creation, running a local Python server, and loading environment variables from .env, but there are no instructions for data exfiltration, system destruction, or any dangerous operations. The Bash usage is limited to starting the application locally, which is standard and safe.
No concerns found
Examples
Build a single symbol dashboard for SBIN using Dash with EMA and RSI indicators.Create a multi-timeframe Streamlit dashboard for RELIANCE with 5m, 15m, 1h, and D timeframes.Create a scanner-dashboard type in Dash for a watchlist of 10+ NSE symbols.name: indicator-dashboard description: 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. argument-hint: "[type] [symbol]" allowed-tools: Read, Write, Edit, Bash, Glob, Grep, AskUserQuestion
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
- Dash types:
$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 patternsrules/streamlit-patterns.md— Streamlit app patternsrules/plotting.md— Chart patternsrules/data-fetching.md— Data loading
- Create
dashboards/{dashboard_name}/directory (on-demand) - Create
app.pyindashboards/{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 usesst.rerun()withtime.sleep() - Load
.envfrom project root viafind_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 chartsst.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 scanst.dataframe()for results tablest.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
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