longbridge-technical
Core technical-indicator signal engine for stocks listed in HK / US / A-share / Singapore via Longbridge Securities. Computes and interprets MACD, KDJ, RSI, Bollinger Bands, EMA, ADX, and OBV from OHLCV data; combines multi-dimensional votes (trend / mean-reversion / volume-price) to produce a composite buy / sell / neutral signal. Triggers: "技术指标", "MACD", "KDJ", "RSI", "布林带", "布林线", "EMA", "ADX", "OBV", "金叉", "死叉", "超买", "超卖", "技术分析", "趋势指标", "量价", "技術指標", "布林帶", "技術分析", "超買", "超賣", "technical indicator", "MACD signal", "KDJ overbought", "RSI oversold", "Bollinger Bands", "moving average", "
npx skills add majiayu000/claude-skill-registry --skill longbridge-technical --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-technical Computes seven classic technical indicators from 200 days of OHLCV data and produces a composite buy / sell / neutral signal via a multi-dimensional voting mechanism. > **Response language**: match the user's input language — Simplified Chinese / Traditional Chinese / English. ## When to use - *"NVDA MACD 金叉了吗"*, *"TSLA RSI 超买了吗"*, *"700.HK 技术指标怎么看"* - *"600519.SH 布林带收口"*, *"AAPL 技術分析信號"*, *"ADX 趋势强吗"* - *"technical analysis for NVDA"*, *"is TSLA overbought on RSI"*, *"MACD signal"* ## Workflow 1. Resolve the symbol to `<CODE>.<MARKET>` format. 2. Fetch 200 daily candles: ```bash longbridge kline <SYMBOL> --period day --format json # run --help for available flags ``` 3. Run the Python analysis below to compute all indicators and their individual votes. 4. Report each indicator's current value and signal, then summarise with the composite vote tally. ## CLI ```bash longbridge kline NVDA.US --period day --format json # run --help for available flags longbridge kline 700.HK --period day --format json longbridge kline 600519.SH --period day --format json ``` Run `longbridge kline --help` to verify current flag names and defaults. ## Python analysis ```python imp
- When to use
- Workflow
- CLI
- Python analysis
- Output
- Error handling
- MCP fallback
- Related skills
longbridge kline <SYMBOL> --period day --format json # run --help for available flags longbridge kline NVDA.US --period day --format json # run --help for available flags longbridge kline 700.HK --period day --format json longbridge kline 600519.SH --period day --format json
What does the longbridge-technical skill do?
Core technical-indicator signal engine for stocks listed in HK / US / A-share / Singapore via Longbridge Securities. Computes and interprets MACD, KDJ, RSI, Bollinger Bands, EMA, ADX, and OBV from OHLCV data; combines multi-dimensional votes (trend / mean-reversion / volume-price) to produce a composite buy / sell / neutral signal. Triggers: "技术指标", "MACD", "KDJ", "RSI", "布林带", "布林线", "EMA", "ADX", "OBV", "金叉", "死叉", "超买", "超卖", "技术分析", "趋势指标", "量价", "技術指標", "布林帶", "技術分析", "超買", "超賣", "technical indicator", "MACD signal", "KDJ overbought", "RSI oversold", "Bollinger Bands", "moving average", "
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill longbridge-technical --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.