stock-selecter统一选股技能包，整合14种策略（ROE筛选、MACD底背离、高股息、低估值、 费雪成长股、长期低位、近期放量、趋势分析、K线形态、布林带下轨、筹码集中、 现金流质量、北向资金、股东增持、分析师目标价），支持单策略、多策略组合筛选。 触发词（精准触发，覆盖明确选股意图）： 按策略名：ROE选股、ROE筛选、MACD...
Install via ClawdBot CLI:
clawdbot install alan1121-j/stock-selecterGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://tushare.pro/registerAudited Apr 17, 2026 · audit v1.0
Generated May 11, 2026
投资者希望通过ROE指标快速筛选A股市场中盈利能力强的公司。使用‘ROE选股’策略，可设置ROE≥15%等条件，一键获取符合要求的股票列表。
用户需要寻找股价处于长期低位且近期放量的股票，结合MACD底背离信号进行买入决策。通过组合‘长期低位’、‘近期放量’和‘MACD底背离’策略，使用AND模式得到严格交集，提高成功率。
风险偏好较低的投资者希望配置高股息且估值合理的股票。使用‘高股息’和‘低估值’策略，采用OR模式获取更多候选，再按评分排名，选出兼具分红和低估值的防御型标的。
用户想全面评估股票质量，使用‘全部策略选股’并设置SCORE模式，系统对14种策略统一打分并求和排名，快速得到综合评分最高的前50只股票，辅助投资决策。
机构投资者关注聪明资金动向，使用‘北向资金’和‘股东增持’策略，筛选出北向资金连续净买入且大股东近期增持的股票，并结合ROE质量要求，发掘基本面改善的个股。
向个人投资者或中小金融机构提供选股技能的API或网页端服务，按月度/年度收费。用户可定制策略组合，系统返回选股结果。
将选股技能作为插件集成到量化交易平台中，供专业用户进行回测和实盘策略开发。按调用次数或效果分成。
为券商、基金等大型机构提供定制化选股模型，支持接入内部数据源，按项目收费或年费维护。
💬 Integration Tip
通过execute函数传入JSON参数即可集成，注意使用namespace前缀来区分不同策略的专属参数。
Scored May 11, 2026
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