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Get Started Free →aifinlab/a-share-earnings-surprise
A股业绩超预期/低预期量化分析。当用户说"业绩超预期"、"earnings surprise"、"超预期"、"低预期"、"业绩打败预期"、"不及预期"时触发。量化分析业绩公告后的市场反应。支持formal和brief风格。
Passed 8 of 15 test cases with the skill, and 7 of 15 without it.
and 2 more in the full report
5 fixed8 passed either way7 still failing3 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
In the default brief summary table for earnings surprise analysis, what simplified label represents the PEAD trajectory?
| Checked | Without skill | With skill |
|---|---|---|
| Labels the drift analysis dimension as drift direction. | Missed | Passed |
The instructions your model reads when the skill loads.
SCRIPTS="$SKILLS_ROOT/cn-stock-data/scripts"
python "$SCRIPTS/cn_stock_data.py" kline --code [CODE] --freq daily --start [日期]
python "$SCRIPTS/cn_stock_data.py" quote --code [CODE]
python "$SCRIPTS/cn_stock_data.py" finance --code [CODE]
分析业绩公告后的收益率漂移持续性
| 维度 | formal | brief |
|---|---|---|
| 超预期度 | SUE计算+排名 | 超/达/低预期 |
| 市场反应 | CAR序列分析 | 公告后涨跌 |
| 漂移分析 | PEAD统计 | 漂移方向 |
| 默认风格：brief。 |
# 调用 skill
result = run_skill({
"param1": "value1",
test cases passed, vs 7 / 15 without
Published skills whose descriptions closely match this one, with their headline benchmark lift.
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