candlesticks
Interactive candlestick and volume Canvas for mainland stocks. Use when the user wants to inspect K-line data, select candle ranges, or ask the LLM to analyze a visible chart range.
ソース情報
- リポジトリ
- FTShare-Lab/ft-tui-kit
- ソースの最終更新活動
- 2026年8月10日 15:16
- 検出された SKILL.md の言語
- 英語
- スター
- 4
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- 0
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SKILL.md
ソースの指示 · 読み取り専用プレビュー- name
- candlesticks
- description
- Interactive candlestick and volume Canvas for mainland stocks. Use when the user wants to inspect K-line data, select candle ranges, or ask the LLM to analyze a visible chart range.
# Candlesticks Canvas
The `candlesticks` renderer provides the `kline` scenario.
## Spawn
`config` is a JSON string. It must contain exactly one stock identifier field:
- `tag`
- `code`, an alias of `tag`
Do not provide both fields.
```typescript
canvas_spawn({
kind: 'candlesticks',
scenario: 'kline',
config: JSON.stringify({
code: '000001.SZ',
interval_unit: 'Day',
interval_value: 1,
adjust_kind: 'None',
limit: 120,
}),
});
```
Valid mainland identifiers use a six-digit code and an exchange suffix, for example
`000001.SZ`, `600519.SH`, or a valid Beijing exchange code ending in `.BJ`.
Optional config fields:
- `data_file`: absolute JSON or CSV OHLCV file path
- `interval_unit`: `Minute`, `Day`, `Week`, `Month`, or `Year`
- `interval_value`: positive interval multiplier
- `adjust_kind`: `None`, `Forward`, or `Backward`
- `limit`: number of candles, from 1 to 2000
## Config Recovery
`canvas_spawn` waits for candlesticks to validate the config and load its data. When it returns
`success: false`, read `id` and `error`, correct the reported field, and call `canvas_update` for
that same ID. Do not call `canvas_spawn` again unless the original Canvas was closed.
```typescript
canvas_update({
id: 'candlesticks-...',
config: JSON.stringify({ code: '000001.SZ' }),
});
```
`canvas_update` also waits for the renderer and returns `success: false` with the exact error when
the replacement config or its data cannot be applied. Config errors are not delivered as actions.
## Interaction
- Click a candle to select it.
- Press `a` to attach summarized chart context to the next user prompt.
- Press Enter to ask the LLM to analyze the selected or visible range.
- Press `e` to export the visible range as a JSON artifact.
When `canvas_wait` is available, call it with this Canvas ID while waiting for an interactive
selection or analysis request. Otherwise, rely on the host's automatic Canvas event delivery.
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