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Get Started Free →aifinlab/a-share-style-analysis
A股风格分析/Sharpe风格归因。当用户说"风格分析"、"style analysis"、"Sharpe风格"、"风格暴露"、"偏大盘还是小盘"时触发。量化分析基金或组合的风格暴露。支持formal和brief风格。
Passed 11 of 17 test cases with the skill, and 9 of 17 without it.
and 5 more in the full report
6 fixed8 passed either way4 still failing4 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
在过去12个月的滚动窗口分析中，某基金的大盘成长权重从 0.80 逐步下降至 0.20，同时小盘价值权重从 0.05 上升至 0.70。在风格归因报告中，这属于什么现象？
| Checked | Without skill | With skill |
|---|---|---|
| Identifies weight migration over rolling windows as style drift. | Passed | Passed |
| Marks style drift indicator positive. | 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]
约束回归: R_p = Σ(w_i × R_style_i) + ε 约束: w_i ≥ 0, Σw_i = 1
滚动窗口分析风格权重变化
| 维度 | formal | brief |
|---|---|---|
| 风格权重 | 完整分解 | 主要风格 |
| 风格漂移 | 时序变化图 | 是否漂移 |
| 默认风格：brief。 |
# 调用 skill
result = run_skill({
"param1": "value1",
"param2": "value2"
})
test cases passed, vs 9 / 17 without
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.