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最火游资不再是方新侠、章盟主、佛山无影脚?这名95后声名鹊起
Mei Ri Jing Ji Xin Wen· 2025-08-20 04:53
别人的股票涨停了,你是不是又亏了?本文将为你深度剖析新牛市的涨停板敢死队。 《每日经济新闻》记者注意到,早在2022年,坊间就有观点称,当前最火的游资不是方新侠、章盟主、 赵老哥、佛山无影脚,而是新生代95后游资金马路的陈小群(陈宴群)。 近年来,一些知名游资席位在龙虎榜的买卖行为,常被市场视为风向标。不过,总体而言,游资席位目 前仍然停留在"网传"阶段。 对于这些网传知名游资席位的可信度,《每日经济新闻》记者日前采访了多家券商的营业部负责人及资 深投顾,他们大多回应称,网传席位的可信度应该较高。 近年来,A股市场生态深刻重构,尤其是涨跌幅限制的差异化(如创业板20%、北交所30%的单日涨跌 幅限制)显著改变了游资的传统博弈模式。以陈小群为代表的新生代游资频繁现身龙虎榜,其操作手法 引发市场广泛关注。 新生代游资的诞生,是在A股涨停板幅度扩大的背景下发生的。而A股的涨停板制度一直是市场微观结 构的重要组成部分,并在很大程度上孕育了游资文化。从传统的10%涨跌幅限制,到如今创业板和科创 板的20%涨跌幅限制以及北交所的30%涨跌幅限制,这种涨停板制度的变化不仅改变了市场的波动空 间,更对游资的操作模式产生了显著 ...
国泰海通 · 晨报0523|金工:从涨停板、"打板策略"到赚钱效应引发的情绪择时指标
国泰海通证券研究· 2025-05-22 13:10
Core Viewpoint - The article discusses the development of a sentiment timing model based on the analysis of limit-up stocks, "board strategies," and the profit effect, which successfully predicts short-term market sentiment changes [1]. Group 1: Sentiment Timing Model Construction - The annualized return of the sentiment timing model portfolio is 6.65% with a volatility of 15.37% and a maximum drawdown of 29.39% [2]. - The model also performs well when applied to broad indices such as the CSI 300 [2]. Group 2: Improvements to the Model - Improvement 1: By incorporating market trend judgments, the annualized return of the sentiment timing model portfolio increases to 9.41%, with a volatility of 17.98% and a maximum drawdown of 46.35% [3]. - Improvement 2: After applying factor weighting to different sentiment indicators, the annualized return reaches 9.68%, with a reduced volatility of 13.31% and a maximum drawdown of 24.47% [4].
国泰海通|金工:大类资产与中观配置研究(五)——从涨停板、"打板策略"到赚钱效应引发的情绪择时指标
国泰海通证券研究· 2025-05-15 14:33
Group 1 - The core viewpoint of the article is the successful construction of a sentiment timing model that predicts market trends based on the number of stocks hitting the daily limit up or down, reflecting market sentiment and capital activity [1][2]. - The sentiment timing model integrates five key factors: board strategy return factor, next-day return factor for limit down stocks, proportion of limit up stocks, proportion of limit down stocks, and net limit up proportion factor, achieving an annualized return of 6.65% and a maximum drawdown of 29.39% [1][2]. - The model's performance is superior to the Wind All A Index and any single factor combination, demonstrating its effectiveness in predicting short-term market sentiment [1][2]. Group 2 - Improvement 1 involves incorporating overall market trend analysis, which enhances the model's ability to identify macroeconomic changes, resulting in an annualized return of 9.41% and a maximum drawdown of 46.35% [2]. - Improvement 2 includes weighting factor signals, leading to an annualized return of 9.68% and a maximum drawdown of 24.47%, significantly outperforming the Wind All A Index [2]. Group 3 - The underlying logic of the factors indicates that changes in the number of limit up and down stocks can directly reflect market sentiment, while the effectiveness of chasing and low-buy strategies reveals investor behavior and emotional tendencies [3]. - The limit up proportion factor and limit down proportion factor show strong performance in predicting short-term market sentiment, while the next-day return factor for limit up stocks is less reliable as a leading indicator [3].