stock-performance-forecast-all-stocks-specific-period skillA
stock-performance-forecast-all-stocks-specific-period is agent-read markdown (skill) from ftshare-lab/ftshare-skill: Get performance forecast (业绩预告) for all stocks in a specific reporting period. Use when user asks about 指定报告期业绩预告, 全市场业绩预告, all stocks performance forecast for a specific year and period..
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What the file says
# 查询指定报告期全市场业绩预告（分页） ## 参数 | 参数 | 类型 | 必填 | 说明 | 示例 | |------|------|------|------|------| | `--year` | int | 是 | 报告所属年度 | `2024` | | `--report-type` | string | 是 | 报告期类型：`q1`/`q2`/`q3`/`annual` | `annual` | | `--page` | int | 否 | 页码，从 1 开始（默认 1） | `1` | | `--page-size` | int | 否 | 每页记录数（默认 20） | `20` | ## 用法 从用户问题中提取年度和报告期类型，执行： ```bash python scripts/handler.py --year 2024 --report-type annual --page 1 --page-size 20 ``` 脚本输出带分页信息的 JSON，每项含 `stock_code`、`stock_name`、`forecast_type`、`net_profit_min`、`net_profit_max`、`net_profit_yoy` 等字段，以表格展示给用户。 ## 注意 - `report-type` 取值：`q1`（一季报）、`q2`（中报）、`q3`（三季报）、`annual`（年报） - 需要全量数据时，循环请求直到 `page > total_pages` ## 调用示例 ```bash python <RUN_PY> stock-performance-forecast-all-stocks-specific-period --year 2025 --report-type annual --page 1 --page-size 5 ```
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How to install
mdr add ftshare-lab/ftshare-skill/stock-performance-forecast-all-stocks-specific-period@git:20260916.8724d04mdr add ftshare-lab/ftshare-skill/stock-performance-forecast-all-stocks-specific-period@sha256:ad1ccc0b213cc3e6Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_xj5zcl3q2zxg7z6b)
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Source
ftshare-lab/ftshare-skill · 64 stars · license MIT · pushed 2026-09-22 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_xj5zcl3q2zxg7z6b GET https://markdownregistry.com/api/v1/resolve?ref=ftshare-lab/ftshare-skill/stock-performance-forecast-all-stocks-specific-period GET https://markdownregistry.com/api/v1/blob/ad1ccc0b213cc3e6eb7566c14e5fff19b2eb0d8d6435527bf9eaf6a49b8422c4
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