使用Plotly Dash或Streamlit构建交互式金融技术分析仪表板 | 实时股票指标可视化

indicator-dashboard by marketcalls/openalgo-indicator-skills

123 周安装量

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GitHub

安装命令

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

Python Web框架数据可视化金融科技

🇨🇳中文介绍

使用 Plotly Dash 或 Streamlit 创建一个用于交互式技术分析的 Web 仪表板。

参数

将 $ARGUMENTS 解析为：类型符号

$0 = 仪表板类型。默认值：single
- Dash 类型：single、multi-symbol、multi-timeframe、scanner-dashboard
- Streamlit 类型：streamlit-single、streamlit-multi、streamlit-scanner

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Dash 仪表板类型

`single` — 单符号仪表板 (Dash)

一个符号，可配置指标
叠加指标：EMA、SMA、布林带、超级趋势、一目均衡表（复选框）
子图指标：RSI、MACD、随机指标、成交量、ADX、OBV（复选框）
统计面板：LTP、日内涨跌幅、成交量、所选指标值
模板：rules/assets/dashboard_basic/app.py

`multi-symbol` — 多符号观察列表 (Dash)

网格布局显示 4-6 个符号
每个单元格显示蜡烛图 + 一个叠加指标
底部行：所有符号的 RSI 比较
符号列表可通过输入框编辑

`multi-timeframe` — 多时间框架分析 (Dash)

4 面板网格：同一符号的 5m、15m、1h、D 时间框架
在每个时间框架上计算相同的指标
一致性摘要："3/4 时间框架看涨"
模板：rules/assets/dashboard_multi/app.py

`scanner-dashboard` — 实时扫描器 (Dash)

包含 10 个以上符号的观察列表
表格显示：符号、LTP、RSI、EMA 趋势、信号
颜色编码行（绿色=看涨，红色=看跌）
点击符号显示详细图表
每 30 秒自动刷新一次

Streamlit 仪表板类型

`streamlit-single` — 单符号仪表板 (Streamlit)

侧边栏：符号、交易所、时间间隔、叠加/子图多选
使用 st.plotly_chart() 创建交互式图表
使用 st.metric() 显示 LTP、涨跌幅、RSI、EMA 统计数据
通过复选框 + st.rerun() 实现自动刷新
模板：rules/assets/streamlit_basic/app.py

`streamlit-multi` — 多时间框架分析 (Streamlit)

通过 st.columns(2) 实现 2x2 网格，显示 4 个时间框架
每个时间框架显示蜡烛图 + EMA 叠加
使用 st.success()/st.error()/st.warning() 显示一致性摘要
每个时间框架趋势的 st.metric() 卡片
模板：rules/assets/streamlit_multi/app.py

`streamlit-scanner` — 扫描器仪表板 (Streamlit)

侧边栏：扫描类型选择器、运行按钮
扫描期间使用 st.progress()
使用 st.dataframe() 显示结果表格
使用 st.download_button() 进行 CSV 导出

创建应用后，提供以下说明：

cd dashboards/{dashboard_name}
python app.py
# 在浏览器中打开 http://127.0.0.1:8050

cd dashboards/{dashboard_name}
streamlit run app.py
# 在浏览器中打开 http://localhost:8501

/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

🇺🇸English

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()

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

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Repository

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First Seen

Feb 28, 2026

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Load.env from project root via find_dotenv()

使用Plotly Dash或Streamlit构建交互式金融技术分析仪表板 | 实时股票指标可视化

🇨🇳中文介绍

参数

相关 Skills

说明

仪表板要求

Dash 仪表板类型

`single` — 单符号仪表板 (Dash)

`multi-symbol` — 多符号观察列表 (Dash)

`multi-timeframe` — 多时间框架分析 (Dash)

`scanner-dashboard` — 实时扫描器 (Dash)

Streamlit 仪表板类型

`streamlit-single` — 单符号仪表板 (Streamlit)

`streamlit-multi` — 多时间框架分析 (Streamlit)

`streamlit-scanner` — 扫描器仪表板 (Streamlit)

运行仪表板

使用示例

🇺🇸English

Arguments

Instructions

Dashboard Requirements

Dash Dashboard Types

`single` — Single Symbol Dashboard (Dash)

`multi-symbol` — Multi-Symbol Watchlist (Dash)

`multi-timeframe` — MTF Analysis (Dash)

`scanner-dashboard` — Live Scanner (Dash)

Streamlit Dashboard Types

`streamlit-single` — Single Symbol Dashboard (Streamlit)

`streamlit-multi` — MTF Analysis (Streamlit)

`streamlit-scanner` — Scanner Dashboard (Streamlit)

Running the Dashboard

Example Usage

最新 Skills

使用Plotly Dash或Streamlit构建交互式金融技术分析仪表板 | 实时股票指标可视化

🇨🇳中文介绍

参数

相关 Skills

说明

仪表板要求

Dash 仪表板类型

single — 单符号仪表板 (Dash)

multi-symbol — 多符号观察列表 (Dash)

multi-timeframe — 多时间框架分析 (Dash)

scanner-dashboard — 实时扫描器 (Dash)

Streamlit 仪表板类型

streamlit-single — 单符号仪表板 (Streamlit)

streamlit-multi — 多时间框架分析 (Streamlit)

streamlit-scanner — 扫描器仪表板 (Streamlit)

运行仪表板

使用示例

🇺🇸English

Arguments

Instructions

Dashboard Requirements

Dash Dashboard Types

single — Single Symbol Dashboard (Dash)

multi-symbol — Multi-Symbol Watchlist (Dash)

multi-timeframe — MTF Analysis (Dash)

scanner-dashboard — Live Scanner (Dash)

Streamlit Dashboard Types

streamlit-single — Single Symbol Dashboard (Streamlit)

streamlit-multi — MTF Analysis (Streamlit)

streamlit-scanner — Scanner Dashboard (Streamlit)

Running the Dashboard

Example Usage

最新 Skills

`single` — 单符号仪表板 (Dash)

`multi-symbol` — 多符号观察列表 (Dash)

`multi-timeframe` — 多时间框架分析 (Dash)

`scanner-dashboard` — 实时扫描器 (Dash)

`streamlit-single` — 单符号仪表板 (Streamlit)

`streamlit-multi` — 多时间框架分析 (Streamlit)

`streamlit-scanner` — 扫描器仪表板 (Streamlit)

`single` — Single Symbol Dashboard (Dash)

`multi-symbol` — Multi-Symbol Watchlist (Dash)

`multi-timeframe` — MTF Analysis (Dash)

`scanner-dashboard` — Live Scanner (Dash)

`streamlit-single` — Single Symbol Dashboard (Streamlit)

`streamlit-multi` — MTF Analysis (Streamlit)

`streamlit-scanner` — Scanner Dashboard (Streamlit)