indicator-dashboard

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🇺🇸

Original

English

🇨🇳

Translation

Chinese

Create a web dashboard for interactive technical analysis using Plotly Dash or Streamlit.

使用Plotly Dash或Streamlit创建用于交互式技术分析的Web仪表盘。

Arguments

参数说明

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.

将

$ARGUMENTS

解析为：类型标的代码

$0

= 仪表盘类型，默认值：single

Dash支持的类型：

single

multi-symbol

multi-timeframe

scanner-dashboard

Streamlit支持的类型：

streamlit-single

streamlit-multi

streamlit-scanner

```
$1
```
= 标的代码（例如：SBIN、RELIANCE），默认值：SBIN

如果未传入参数，请询问用户想要哪种类型的仪表盘，以及偏好使用Dash还是Streamlit。

Instructions

操作步骤

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/
```

阅读indicator-expert规则，尤其是以下文件：
- ```
rules/dashboard-patterns.md
```
  — Dash应用模式
- ```
rules/streamlit-patterns.md
```
  — Streamlit应用模式
- ```
rules/plotting.md
```
  — 图表模式
- ```
rules/data-fetching.md
```
  — 数据加载规则
按需创建
```
dashboards/{dashboard_name}/
```
目录
在
```
dashboards/{dashboard_name}/
```
目录下创建
```
app.py
```
文件
使用
```
rules/assets/
```
目录中的匹配模板

Dashboard Requirements

仪表盘通用要求

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()
```

所有仪表盘必须包含以下功能：

深色主题：Dash使用
```
dbc.themes.DARKLY
```
；Streamlit使用
```
[theme] base = "dark"
```
或CSS注入实现
标的输入：文本输入框或下拉选择器用于选择标的
交易所选择器：支持NSE、BSE、NFO、NSE_INDEX
时间周期选择器：支持1m、5m、15m、1h、D
指标选择器：用于选择叠加指标和子图指标的复选框/多选框

交互式图表：使用

template="plotly_dark"

、

xaxis_type="category"

的Plotly图表

统计数据展示：关键指标（LTP、涨跌幅、成交量、指标数值）
自动刷新：Dash使用
```
dcc.Interval
```
；Streamlit使用
```
st.rerun()
```
配合
```
time.sleep()
```
实现
环境变量加载：通过
```
find_dotenv()
```
加载项目根目录的
```
.env
```
文件

Dash Dashboard Types

Dash仪表盘类型

single

— Single Symbol Dashboard (Dash)

single

— 单标的仪表盘（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
```

支持单个标的，可配置指标
叠加指标：EMA、SMA、布林带、Supertrend、Ichimoku（复选框选择）
子图指标：RSI、MACD、随机指标、成交量、ADX、OBV（复选框选择）
统计面板：展示LTP、当日涨跌幅、成交量、所选指标数值
模板：
```
rules/assets/dashboard_basic/app.py
```

multi-symbol

— Multi-Symbol Watchlist (Dash)

multi-symbol

— 多标的监控列表（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

网格布局展示4-6个标的
每个单元格显示K线图+一个叠加指标
底部行：展示所有标的的RSI对比
可通过输入框编辑标的列表

multi-timeframe

— MTF Analysis (Dash)

multi-timeframe

— 多时间周期分析仪表盘（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
```

4面板网格布局：同一标的的5m、15m、1h、D时间周期数据
每个时间周期计算相同的指标
一致性总结：如“4个时间周期中有3个呈看涨趋势”
模板：
```
rules/assets/dashboard_multi/app.py
```

scanner-dashboard

— Live Scanner (Dash)

scanner-dashboard

— 实时扫描仪表盘（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

监控10+个标的的列表
表格展示：标的代码、LTP、RSI、EMA趋势、信号
行颜色标记（绿色=看涨，红色=看跌）
点击标的可查看详细图表
每30秒自动刷新一次

Streamlit Dashboard Types

Streamlit仪表盘类型

streamlit-single

— Single Symbol Dashboard (Streamlit)

streamlit-single

— 单标的仪表盘（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
```

侧边栏：标的、交易所、时间周期、叠加/子图指标多选框
使用
```
st.plotly_chart()
```
实现交互式图表
使用
```
st.metric()
```
展示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

— MTF Analysis (Streamlit)

streamlit-multi

— 多时间周期分析仪表盘（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
```

通过
```
st.columns(2)
```
实现2x2网格布局，展示4个时间周期数据
每个时间周期显示K线图+EMA叠加指标
使用
```
st.success()
```
/
```
st.error()
```
/
```
st.warning()
```
展示一致性总结
使用
```
st.metric()
```
卡片展示每个时间周期的趋势
模板：
```
rules/assets/streamlit_multi/app.py
```

streamlit-scanner

— Scanner Dashboard (Streamlit)

streamlit-scanner

— 扫描仪表盘（Streamlit）

Sidebar: scan type selector, run button
```
st.progress()
```
during scan
```
st.dataframe()
```
for results table
```
st.download_button()
```
for CSV export

侧边栏：扫描类型选择器、运行按钮
扫描过程中显示
```
st.progress()
```
进度条
使用
```
st.dataframe()
```
展示结果表格
使用
```
st.download_button()
```
支持CSV导出

Running the Dashboard

仪表盘运行说明

After creating the app, provide instructions:

Dash:

bash

cd dashboards/{dashboard_name}
python app.py

创建应用后，按照以下步骤运行：

Dash：

bash

cd dashboards/{dashboard_name}
python app.py

Open http://127.0.0.1:8050 in browser

在浏览器中打开 http://127.0.0.1:8050


**Streamlit:**
```bash
cd dashboards/{dashboard_name}
streamlit run app.py


**Streamlit：**
```bash
cd dashboards/{dashboard_name}
streamlit run app.py

Open http://localhost:8501 in browser

在浏览器中打开 http://localhost:8501

undefined

undefined

Example Usage

使用示例

/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

/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

indicator-dashboard

Original

Translation

Arguments

参数说明

Instructions

操作步骤

Dashboard Requirements

仪表盘通用要求

Dash Dashboard Types

Dash仪表盘类型

`single`
— Single Symbol Dashboard (Dash)

`single`
— 单标的仪表盘（Dash）

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

`multi-symbol`
— 多标的监控列表（Dash）

`multi-timeframe`
— MTF Analysis (Dash)

`multi-timeframe`
— 多时间周期分析仪表盘（Dash）

`scanner-dashboard`
— Live Scanner (Dash)

`scanner-dashboard`
— 实时扫描仪表盘（Dash）

Streamlit Dashboard Types

Streamlit仪表盘类型

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

`streamlit-single`
— 单标的仪表盘（Streamlit）

`streamlit-multi`
— MTF Analysis (Streamlit)

`streamlit-multi`
— 多时间周期分析仪表盘（Streamlit）

`streamlit-scanner`
— Scanner Dashboard (Streamlit)

`streamlit-scanner`
— 扫描仪表盘（Streamlit）