A股盈利动量/业绩趋势量化分析
SkillDev toolsQuantitative analysis of A-share earnings momentum / performance trends. Triggered when the user says "盈利动量", "earnings momentum", "业绩趋势", "盈利加速", or "业绩改善". Quantitatively analyzes earnings change trends. Supports formal and brief styles.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the A股盈利动量/业绩趋势量化分析 skill
What this skill tells your AI
The instructions your AI receives, as published by aifinlab/finclaw in skills/a-share-earnings-momentum/SKILL.md and read by ahel’s review.
数据源
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]
Workflow
Step 1: 获取多期财务数据
Step 2: 计算盈利动量指标
- 营收YoY加速度(本季YoY - 上季YoY)
- 净利润环比变化
- ROE变化趋势
- 毛利率变化方向
Step 3: 盈利修正追踪
分析师预期的上调/下调趋势
Step 4: 输出
| 维度 | formal | brief |
|---|---|---|
| 盈利趋势 | 多季度趋势图 | 加速/减速 |
| 动量信号 | 各指标综合评分 | 盈利动量方向 |
| 默认风格:brief。 |
关键规则
- 盈利动量是最有效的选股因子之一
- 盈利加速比盈利增长更重要(二阶导>一阶导)
- 分析师上调预期是盈利动量的领先信号
- Q4季度性因素需特殊处理
- 盈利动量和价格动量结合效果最好
使用示例
示例 1: 基本使用
# 调用 skill
result = run_skill({
"param1": "value1",
"param2": "value2"
})
示例 2: 命令行使用
python scripts/run_skill.py --input data.json
Signals
- GitHub stars
- 241
- Forks
- 38
- Last commit
- May 2026
Advanced
- Catalog kind
- skill
- Gateway key
a-share-earnings-momentum- Source
- github.com/aifinlab/finclaw