According to AlphaMoat, as of 2026-09, A股量价关系验证 has 1,741 downloads and 2 stars — ranked #4,615 of 5,078 AI skills overall, and #409 of 465 in Professional.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 39 | 1.4K | 1 | - |
| SkillHub ↗ | 344 | 1.7K | 2 | — |
Platforms count differently and update at different times.
The document discusses breakouts, reversals and declines using expanding or shrinking volume, highs, lows and resistance. It is educational reference guidance without market-data retrieval or trade execution. It cannot guarantee move authenticity or predictions. Verify data and conclusions independently and do not trade solely on this guidance.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 1.7K | — | 2 |
| 2026-08 | 1.4K | +8.9% | 2 |
| 2026-07 | 1.2K | +22.4% | 2 |
| 2026-06 | 1.0K | +10.1% | 2 |
| 2026-05 | 923 | — | 2 |
| 2026-03 | 571 | — | 1 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
--- name: volume-price-analysis description: 通过成交量判断价格走势真实性,避免被"诱多"或"诱空"。用于A股技术分析。 --- # 量价关系验证 Skill ## 核心能力 通过成交量判断价格走势的真实性,避免被"诱多"或"诱空"。
## 量价规则 ### 有效上涨 - 价格创新高 - 成交量放大(较前一日放量30%以上) - **结论**:有效突破,可跟进 ### 虚假上涨(诱多) - 价格创新高 - 成交量缩量 - **结论**:警惕主力出货,不可追 ### 底部反转 - 价格企稳 - 成交量连续3日温和放大 - **结论**:资金进场信号,可考虑建仓 ### 有效下跌 - 价格创新低 - 成交量放大 - **结论**:可能加速赶底 ### 虚假下跌(诱空) - 价格创新低 - 成交量缩量 - **结论**:空头乏力,可能反转 ## 实战规则 - 个股涨停但成交量萎缩 → 说明封单不强,次日大概率低开 - 涨停伴随放量突破前期压力位 → 有效上涨信号,可果断跟进 - 缩量上涨至压力位 → 警惕回调 ## 触发场景 - "这个涨停有效吗" - "这是诱多还是真涨" - "能追吗" - "缩量上涨可靠吗"
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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.