longbridge-elliott
艾略特波浪理论信号引擎——通过 Zigzag 检测摆动点,匹配 5 浪推动(1-2-3-4-5)与 3 浪调整(A-B-C)结构,结合斐波那契关系校验,生成波浪位置、目标价位与风险位。Triggers: "艾略特波浪", "波浪理论", "推动浪", "调整浪", "斐波那契", "1浪", "3浪", "5浪", "abc浪", "艾略特", "波浪計數", "推動浪", "調整浪", "斐波那契", "Elliott wave", "wave theory", "impulse wave", "corrective wave", "fibonacci retracement", "wave count", "wave 3", "wave 5".
npx skills add majiayu000/claude-skill-registry --skill longbridge-elliott --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# longbridge-elliott 艾略特波浪理论信号引擎:基于 Zigzag 摆动点识别,自动匹配五浪推动结构(1-2-3-4-5)与三浪调整结构(A-B-C),辅以斐波那契比率校验,输出当前波浪位置、目标价位与止损风险位。 > **Response language**: match the user's input language — > Simplified Chinese / Traditional Chinese / English. ## When to use - 用户询问波浪计数:*"AAPL 现在走到几浪了"*、*"TSLA 是不是在 4 浪调整"*、*"700.HK 的 Elliott wave 分析"* - 判断行情是否处于推动浪(看多)或调整浪(看空) - 结合斐波那契位置估算目标价和回调支撑 - 用户提到"艾略特"、"浪计数"、"五浪结构"等关键词 ## Workflow 1. 提取标的代码,标准化为 `<CODE>.<MARKET>` 格式。 2. 获取日线 OHLCV 数据(200 根 K 线): ```bash longbridge kline <SYMBOL> --period day --format json # run --help for available flags ``` 3. **Zigzag 识别摆动点**(Python 实现,threshold 默认 5%): ```python def zigzag(highs, lows, threshold=0.05): # 寻找局部高低点序列 # 相邻同向点取极值合并,反向超过 threshold 才确认新摆动点 ... ``` 4. **匹配五浪推动结构**,需满足: - 波 3 不是最短浪(通常最长) - 波 4 不与波 1 价格区间重叠 - 波 2 回撤不超过波 1 起点 5. **斐波那契校验**: - 波 2 回撤:0.382–0.618 × 波 1 - 波 3 延伸:≥ 1.618 × 波 1(常见 1.618–2.618) - 波 4 回撤:0.236–0.382 × 波 3 - 波 5 ≈ 波 1(容差 ±20%) 6. **匹配三浪调整结构** A-B-C(推动浪结束后出现): - B 浪回撤:0.382–0.786 × A 浪 - C 浪 ≈ A 浪(容差 ±20%) 7. 输出当前波浪位置、目标价位、止损位。 > 若不确定 CLI 参数,先运行 `longbridge kline --help` 查看最新参数。 ## CLI ```bash # 日线数据(主要数据源) longbridge kline AAPL.US --period day --format json # run --help for available flag
- When to use
- Workflow
- CLI
- Output
- Error handling
- MCP fallback
- Related skills
- File layout
longbridge kline <SYMBOL> --period day --format json # run --help for available flags longbridge kline AAPL.US --period day --format json # run --help for available flags longbridge kline TSLA.US --period week --format json
What does the longbridge-elliott skill do?
艾略特波浪理论信号引擎——通过 Zigzag 检测摆动点,匹配 5 浪推动(1-2-3-4-5)与 3 浪调整(A-B-C)结构,结合斐波那契关系校验,生成波浪位置、目标价位与风险位。Triggers: "艾略特波浪", "波浪理论", "推动浪", "调整浪", "斐波那契", "1浪", "3浪", "5浪", "abc浪", "艾略特", "波浪計數", "推動浪", "調整浪", "斐波那契", "Elliott wave", "wave theory", "impulse wave", "corrective wave", "fibonacci retracement", "wave count", "wave 3", "wave 5".
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill longbridge-elliott --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
