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量化交易新规正式实施,如何趋利避害突出公平?
中经实习记者 孙汝祥 记者 夏欣 北京报道 自7月7日起,沪深北交易所此前4月公布的《程序化交易管理实施细则》(即"量化交易新规")正式实 施。 新规明确高频交易认定标准为:单账户每秒申报、撤单笔数合计最高达到300笔以上,或者单账户全日 申报、撤单笔数合计最高达到2万笔以上。与此同时,新规通过四个方面进一步加强高频交易监管。 接受《中国经营报》记者采访的专家表示,量化交易具有"双刃剑"效应,新规在强化监管约束的同时, 也有助于规范市场竞争环境,提升资本市场公平性。而针对"中小投资者占绝大多数"这个最大的国情和 市情,专家建议要进一步优化各项规则,保证中小投资者有公平的交易机会。 亦有专家指出,量化交易让散户被动退出,至少应该限制量化交易,否则长此以往会使A股流动性下 降。 加强差异化监管 根据量化交易新规,单账户每秒申报、撤单笔数合计最高达到300笔以上,或者单账户全日申报、撤单 笔数合计最高达到2万笔以上的交易,被认定为高频交易。 针对高频交易,交易所进行了差异化监管安排。 一是要求存在高频交易情形的投资者,额外报告高频交易系统服务器所在地、系统测试报告和系统故障 应急方案等信息。 二是设置瞬时申报速率异 ...
和讯投顾徐斌箐:量化新规导致缩量?
He Xun Cai Jing· 2025-07-07 12:35
Group 1 - The implementation of new quantitative regulations is expected to lead to a decrease in trading volume, as restrictions on opening positions will limit market activity [1] - The current market environment is characterized by a "chaotic" phase, with most stocks experiencing declines, particularly those in the third board and above [1] - Despite the reduced trading volume, the overall impact on the market index is minimal, as it is primarily supported by heavyweight stocks, particularly in the banking sector [1] Group 2 - Short-term speculative trading in sectors like electricity and food delivery is not sustainable and should not be considered as main investment themes [2] - Investors are advised to focus on defensive positions in the banking sector or technology sectors with strong earnings trends [2]
金融工程周报:股债持仓量有所分化-20250707
Guo Tou Qi Huo· 2025-07-07 12:01
2025年7月7日 周度报告 股债持仓量有所分化 金融工程周报 操作评级 股指 ☆☆☆ 国债 ☆☆☆ 王锴 金融工程组 010-58747784 gtaxinstitute@essence.com. cn Z0016943 F03091361 本报告版权属于国投期货有限公司 1 不可作为投资依据,转载请注明出处 p 截至7月4日当周,股指继续上涨,钢铁板块领涨,计算机 板块领跌,融资规模增加189.28亿元。当前股市主要依赖 于宽松资金面和风险偏好支撑,整体股市成交量继续回升。 仍需关注美元走势变化,股指或兑现回调压力。 p 从高频宏观基本面因子评分来看,期指方面,通胀指标7分, 流动性指标5分,估值指标11分,市场情绪指标8分。期债 方面,通胀指标8分,流动性指标10分,市场情绪指标8分。 期限结构方面,7月基差逐步收敛但仍处于偏高水平,且仍 然受到分红季影响,贴水收敛速度缓慢。 p 金融衍生品量化CTA策略上周净值上升0.85%。主要为周 三做多T以及周五日内做多IC。长周期方面,中采与财新 PMI均有一定程度边际改善,对于IC和IM提升作用较为显 著,T有一定下降。短周期方面,随着美元震荡下行,利差 和 ...
美元暴跌47年最惨,A股却现曙光
Sou Hu Cai Jing· 2025-07-07 11:51
Core Viewpoint - The article discusses the complexities of market expectations and the importance of data analysis in identifying investment opportunities amidst apparent economic crises, particularly focusing on the recent decline of the US dollar and the behavior of institutional investors. Group 1: Market Dynamics - The recent decline of the US dollar is attributed to a crisis not seen in 47 years, but it is suggested that this situation is more about expectation games than actual economic downturns [1] - Ordinary investors are focused on shrinking import and export data, while institutional investors are quietly increasing their positions in technology stock options [3] Group 2: Data-Driven Insights - A case study in the semiconductor sector illustrates how quantitative systems can detect institutional "shakeout" patterns, which may appear alarming but are actually strategic moves by investors [5] - In April, signals of speculative buying in the new energy sector were noted, indicating that what seems like chaotic market movements can actually reflect strategic plays between institutions and retail investors [7] Group 3: Federal Reserve and Market Predictions - Speculation around the next Federal Reserve chairperson is compared to the political turmoil during the UK prime minister change in 2022, suggesting that market reactions may not align with traditional views of political instability [9] - The article emphasizes the importance of monitoring implied volatility in the options market to gauge market sentiment regarding the Federal Reserve's decisions [9] Group 4: Investment Strategies - Investors are encouraged to build their own "data dashboards" that include indicators of capital dynamics, institutional holdings, and market sentiment to better navigate the market [10] - Historical analysis of the 2008 financial crisis reveals that the most profitable strategies were not necessarily those that bet against the market but rather those that understood the Federal Reserve's balance sheet expansion [11] Group 5: Importance of Timing in Data Analysis - Significant market turning points often leave traces in data, but patience is required to confirm these signals, as seen in the current focus on the US dollar index and changes in open interest at the Chicago Mercantile Exchange [12]
冯艺东:关于促进量化交易健康发展的路径研究丨资本市场
清华金融评论· 2025-07-07 11:37
Core Viewpoint - The article emphasizes the importance of regulating quantitative trading to enhance market liquidity and reduce volatility, while balancing market efficiency and fairness [3][4][5]. Summary by Sections Overview of Quantitative Trading - Quantitative trading refers to the use of mathematical models, statistical analysis, and computer technology for securities investment, aiming to reduce emotional interference and improve trading efficiency [7]. - The development of quantitative trading in China has been driven by policy evolution and technological breakthroughs over the past two decades, with significant milestones including the introduction of futures and regulatory frameworks [8][9]. Impact of Quantitative Trading on the Market - Positive impacts include increased market liquidity, reduced volatility, and improved pricing efficiency. Quantitative trading generates numerous orders, enhancing market depth and narrowing bid-ask spreads [15][16][17]. - Negative impacts may involve market manipulation, exacerbation of volatility during extreme conditions, and potential fairness issues due to the speed of high-frequency trading [18][19][20]. Regulatory Framework for Quantitative Trading - China's regulatory approach focuses on automated and programmatic aspects of quantitative trading, with specific regulations for high-frequency trading established under the "Securities Market Programmatic Trading Management Measures" [21][22]. - Internationally, the U.S. and Germany have implemented strict regulations to prevent market disruption and ensure fair trading practices, with specific measures for high-frequency trading [23][24][25]. Recommendations for Healthy Development of Quantitative Trading - Suggestions include optimizing the regulatory framework with differentiated access for high-frequency and other quantitative institutions, enhancing risk control measures, and balancing market efficiency with fairness [26][27][28].
量化交易新规7月7日实施;证监会:始终把维护市场稳定作为监管工作首要任务|每周金融评论(2025.6.30-2025.7.7)
清华金融评论· 2025-07-07 11:37
乐规7 月 7 三 证监会:始终把维护市场稳定作为 监管工作首要任务 Hinameral 母周金融评论 .. Financial Weekly 每周金融评论 | 目录 CONTENTS 热点聚焦 FOCUS 【 】 【 】 【 】 【 】 【 】 【 】 【 】 【 】 【 】 【 】 【 】 【 】 【 】 】 【 】 】 】 【 】 】 】 226 2025年7月7日 热点 聚焦 央行就《人民币跨境支付系统业务规则(征求意见稿)》公开征求意见 7月4日,中国人民银行发布关于《人民币跨境支付系统业务规则(征求意见稿)》公开征求意见的通知,为适应人民币跨境支付 系统业务发展需要,中国人民银行组织修订了《人民币跨境支付系统业务规则》(银发〔2018〕72号),形成《人民币跨境支付 系统业务规则(征求意见稿)》,现面向社会公开征求意见。 《清华金融评论》观察 7月4日,中国人民银行发布关于《人民币跨境支付系统业务规则(征求意见稿)》公开征求意见的通知,为适应人民币跨境支付 系统业务发展需要,中国人民银行组织修订了《人民币跨境支付系统业务规则》(银发〔2018〕72号),形成《人民币跨境支付 系统业务规则(征求意见 ...
量化择时周报:模型提示价量匹配度降低,市场情绪回落较快-20250707
2025 年 07 月 07 日 模型提示价量匹配度降低,市场情 绪回落较快 ——量化择时周报 20250704 本研究报告仅通过邮件提供给 中庚基金 使用。1 量 化 策 证 券 研 究 报 告 证券分析师 沈思逸 A0230521070001 shensy@swsresearch.com 邓虎 A0230520070003 denghu@swsresearch.com 联系人 沈思逸 (8621)23297818× shensy@swsresearch.com 请务必仔细阅读正文之后的各项信息披露与声明 权 益 量 化 研 究 略 相关研究 - ⚫ 市场情绪进一步下行:市场情绪指标数值为-0.9,较上周五的-0.65 进一步下行,代表市 场情绪进一步回落,观点偏空。 ⚫ 价量匹配度降低,市场情绪继续下行:行业间交易波动率降低代表当前资金活跃度欠缺, 资金观点分歧加剧、短期情绪不确定性增强;科创 50 成交量占比指标继续提示行业涨跌 趋势较弱,指标位置大幅提升但是上攻力量略显不足,因此短期内可能迎来进一步调整。 另外 PCR 结合 VIX 指标继续波动,行业涨跌趋势维持平稳。综合各项指标,模型得出市 场情绪 ...
量化称雄,百亿领跑!上半年私募备案5461只,指增成大热门
私募排排网· 2025-07-07 10:44
股票策略 依然是上半年备案的主流策略 ,私募排排网数据显示,上半年备案股票策略产品高达3458只,占到备案产品总量的63.32%。( 点击 查看股票策略收益排名 ) 多资产策略和期货及衍生品策略位居次席 ,两大策略上半年备案产品数量差距并不大,成为股票策略后最受青睐的两大策略。私募排排网数据 显示,上半年分别备案多资产策略和期货及衍生品策略产品802只和633只,占比依次为14.69%和11.59%。 组合基金和债券策略上半年备案产品数量表现 相对较差 。私募排排网数据显示,上半年分别备案组合基金和债券策略产品220只和212只,合计 占比不足10%。 本文首发于公众号"私募排排网"。 (点击↑↑ 上图查看详情 ) 0 1 上半年私募备案 5461 只,股票策略仍占主流 6月A股市场走出明显的反弹行情,从而带动了私募产品的备案热情。私募排排网数据显示,截至2025年6月30日,6月共有1100只私募证券产品 完成备案,创下年内单月次新高,较上月环比增幅26.44%。 整个上半年备案私募证券产品更是高达5461只,较去年上半年同比增幅53.61%, 较去年下半年环比增幅100.48%。 融智投资 FOF基金经理 ...
央行、银保监会等多部门密集释放利好!地产行情能走多远 ?
摩尔投研精选· 2025-07-07 10:41
今天量化新规第一天,沪深两市全天成交额1.21万亿,缩了2 0 0 0多亿,严重缩量。 不过不必太惊慌,高频次的量化除了为市场增加一些流动性之外,对赚钱效应的提升几乎 没有,反而副作用很多。 所以短期阵痛, 长期利好市场健康发展。 头部机构(幻方、灵均)转向基本面量化,AI选股等中长期模型, 以后市场会更利于做 中长线的人。 01 电力行情卷土重来! 周末电力吹得很凶,今天电力高开高走,多只个股涨停。 据国家能源局消息,统计数据显示,7月4日,全国最大电力负荷达到1 4 . 6 5亿千瓦,比6 月底上升约2亿千瓦,比去年同期增长接近1.5亿千瓦,创历史新高。 国盛证券指出, 高温席卷全国,迎峰度夏电力负荷攀升,迎峰度夏叠加业绩期催化,建 议重视电力板块配置。 特别是火电,今年业绩比较好,主要是受益于煤价大幅下降,今年一季度火电有近7 0%的 上市公司净利润实现同比增长。 消息面上,近期,多地频繁发布高温预警, 电力行业进入"迎峰度夏"的关键阶段,用电 需求大幅激增。 市场有句谚语就是冬炒煤,夏炒电, 夏天要结束的时候,就要注意风险了。 02 央行等多部门密集释放利好 除了电力之外,房地产板块今日亦于盘中活跃。 ...
量化巨头突遭封杀
格隆汇APP· 2025-07-07 10:30
ETF进化论 量化巨头突遭封杀 原创 阅读全文 ...