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NumPy · Stock and market analysis
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | 面向中文自然语言的 Tushare 数据研究技能。用于把“看看这只股票最近怎么样”“帮我查财报趋势”“最近哪个板块最强”“北向资金在买什么”“给我导出一份行情数据”这类请求，转成可执行的数据获取、清洗、对比、筛选、导出与简要分析流程。适用于 A 股、指数、ETF/基金、财务、估值、资金流、公告新闻、板块概念与宏观数据等研究场景。 | zillionare/ | 322 | 2 repos | ~2.3k | Automated safety check: Pass | No licence | today |
| 2 | Detects Elliott Wave structures in price data with a Zigzag swing finder and Fibonacci checks, and turns completed waves into long, short or flat signals. | HKUDS/ | 35k | — | ~482 | Automated safety check: Pass | MIT | yesterday |
| 3 | Detects 15 classic candlestick patterns with vectorized pandas code and combines bullish and bearish scores into a long, short or flat trading signal. | HKUDS/ | 35k | — | ~468 | Automated safety check: Pass | MIT | yesterday |
| 4 | Builds event-driven analysis for A-share companies: merger arbitrage spreads, shareholder buying and selling signals, equity incentives, placements and ST or delisting warnings; Chinese text. | HKUDS/ | 35k | — | ~1.1k | Automated safety check: Pass | MIT | yesterday |
| 5 | Generates trading signals from the Ichimoku five-line system using Tenkan and Kijun crossovers, cloud position and cloud direction, implemented in pandas. | HKUDS/ | 35k | — | ~417 | Automated safety check: Pass | MIT | yesterday |
| 6 | Ranks stocks by standardized factor scores (momentum, reversal, volatility, volume and valuation) and builds an equal-weight TopN portfolio with periodic rebalancing. | HKUDS/ | 35k | — | ~1k | Automated safety check: Pass | MIT | yesterday |
| 7 | Reference of market rules for quant strategies: A-share price limits and T+1, Hong Kong and US trading rules, crypto policy and cross-border tax basics. | HKUDS/ | 35k | — | ~1.3k | Automated safety check: Pass | MIT | yesterday |
