longbridge-candlestick
K-line candlestick pattern recognition for stocks listed in HK / US / A-share / Singapore via Longbridge Securities. Identifies 15 classic patterns (hammer, hanging man, engulfing, doji, morning/evening star, three white soldiers/black crows, shooting star, etc.) from OHLCV data and generates a composite bullish/bearish/neutral signal. Triggers: "K线形态", "蜡烛图形态", "锤子线", "吞没形态", "十字星", "早晨之星", "暮色之星", "三白兵", "三黑鸦", "吊颈线", "射击之星", "K線形態", "蠟燭圖形態", "錘子線", "吞沒形態", "早晨之星", "暮色之星", "candlestick pattern", "hammer", "engulfing", "doji", "morning star", "evening star", "three white soldiers", "shooting
npx skills add majiayu000/claude-skill-registry --skill longbridge-candlestick --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-candlestick Identifies 15 classic K-line candlestick patterns from recent OHLCV data and produces a composite bullish / bearish / neutral signal with per-pattern explanations. > **Response language**: match the user's input language — Simplified Chinese / Traditional Chinese / English. ## When to use - *"NVDA 最近有什么 K 线形态"*, *"700.HK 是否出现锤子线"* - *"TSLA candlestick patterns"*, *"看看吞没形态"*, *"有没有早晨之星"* - *"600519.SH K線形態分析"*, *"是否出現三白兵"* ## Workflow 1. Resolve the symbol to `<CODE>.<MARKET>` format. 2. Fetch 200 daily candles: ```bash longbridge kline <SYMBOL> --period day --count 200 --format json ``` 3. Run the Python analysis below to identify patterns and compute a composite score. 4. Report detected patterns (most recent first), each with date, name, and interpretation. Summarise with a composite signal. ## CLI ```bash longbridge kline NVDA.US --period day --count 200 --format json longbridge kline 700.HK --period day --count 200 --format json longbridge kline 600519.SH --period day --count 200 --format json ``` Run `longbridge kline --help` to verify current flag names and defaults. ## Python analysis ```python import pandas as pd, json, sys data = json.loads(sys.std
- When to use
- Workflow
- CLI
- Python analysis
- Output
- Error handling
- MCP fallback
- Related skills
longbridge kline <SYMBOL> --period day --count 200 --format json longbridge kline NVDA.US --period day --count 200 --format json longbridge kline 700.HK --period day --count 200 --format json longbridge kline 600519.SH --period day --count 200 --format json
What does the longbridge-candlestick skill do?
K-line candlestick pattern recognition for stocks listed in HK / US / A-share / Singapore via Longbridge Securities. Identifies 15 classic patterns (hammer, hanging man, engulfing, doji, morning/evening star, three white soldiers/black crows, shooting star, etc.) from OHLCV data and generates a composite bullish/bearish/neutral signal. Triggers: "K线形态", "蜡烛图形态", "锤子线", "吞没形态", "十字星", "早晨之星", "暮色之星", "三白兵", "三黑鸦", "吊颈线", "射击之星", "K線形態", "蠟燭圖形態", "錘子線", "吞沒形態", "早晨之星", "暮色之星", "candlestick pattern", "hammer", "engulfing", "doji", "morning star", "evening star", "three white soldiers", "shooting
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill longbridge-candlestick --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.