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——量化择时周报20260104:市场情绪逐步修复,价量一致性快速上升-20260105
Shenwan Hongyuan Securities· 2026-01-05 12:02
2026年01月05日 市场情绪逐步修复, 价量: 速上升 -量化择时周报 20260104 量化策略 相关研究 证券分析师 沈思逸 A0230521070001 shensv@swsresearch.com 邓虎 A0230520070003 denqhu@swsresearch.com 联系人 沈思逸 A0230521070001 shensy@swsresearch.com 请务必仔细阅读正文之后的各项信息披露与声明 ○ 市场情绪逐步修复:截至 12 月 31 日,市场情绪指标数值为 1.35,较上周五的 1.1 小幅 增加,情绪得分逐步修复,从情绪角度来看观点看多。从所有分项指标分数之和的变化来 看,本周情绪指数综合得分同样较上周有所提升,市场交易活跃度出现反转回升迹象。 情绪指标逐步修复,价量一致性快速上升:本周价量一致性指标周内快速上升,较前期有 ● 所改善,市场价量匹配程度回升,资金关注度与标的涨幅相关性增强,情绪端呈现边际回 暖; 科创 50 相对万得全 A 成交占比延续下行趋势, 反映高弹性板块参与度仍偏低, 风险 偏好修复仍显不足; 行业间交易波动率持续下降并下穿布林带上界, 资金在不同行 ...
量化择时周报:市场情绪逐步修复,价量一致性快速上升-20260105
Shenwan Hongyuan Securities· 2026-01-05 10:13
2026 年 01 月 05 日 市场情绪逐步修复,价量一致性快 速上升 ——量化择时周报 20260104 相关研究 证券分析师 证 券 研 究 报 告 请务必仔细阅读正文之后的各项信息披露与声明 本研究报告仅通过邮件提供给 中庚基金 使用。1 量 化 策 略 - ⚫ 市场情绪逐步修复:截至 12 月 31 日,市场情绪指标数值为 1.35,较上周五的 1.1 小幅 增加,情绪得分逐步修复,从情绪角度来看观点看多。从所有分项指标分数之和的变化来 看,本周情绪指数综合得分同样较上周有所提升,市场交易活跃度出现反转回升迹象。 ⚫ 情绪指标逐步修复,价量一致性快速上升:本周价量一致性指标周内快速上升,较前期有 所改善,市场价量匹配程度回升,资金关注度与标的涨幅相关性增强,情绪端呈现边际回 暖;科创 50 相对万得全 A 成交占比延续下行趋势,反映高弹性板块参与度仍偏低,风险 偏好修复仍显不足;行业间交易波动率持续下降并下穿布林带上界,资金在不同行业间切 换节奏放缓,跨行业轮动意愿减弱,流动性边际趋缓;行业涨跌趋势性指标维持在布林带 上界附近震荡,行业观点一致性较高,板块 β 效应仍占主导;融资余额占比持续上行并创 ...
金融工程:AI识图关注化工、非银和卫星
GF SECURITIES· 2026-01-04 09:04
证券研究报告 [Table_Page] 金融工程|定期报告 2026 年 1 月 4 日 请注意,张钰东并非香港证券及期货事务监察委员会的注 册持牌人,不可在香港从事受监管活动。 | DocReport] [Table_ 相关研究: | | | --- | --- | | 金融工程:AI 识图关注化 | 2025-12-28 | | 工、非银、通信和卫星:A 股 | | | 量化择时研究报告 | | | 本周部分因子表现调 | 2025-12-23 | | 整:Alpha 因子跟踪周报 | | | (2025.12.19) | | | 金融工程:AI 识图关注非 | 2025-12-21 | | 银、卫星、化工:A 股量化择 | | | 时研究报告 | | [Table_Title] 金融工程:AI 识图关注化工、非银 A 股量化择时研究报告 | ] [Table_Summary 市场回顾(本期是指 | 2025 年 25 日—2025 31 日) | 12 月 | | 年 12 月 | | --- | --- | --- | --- | --- | | 结构表现 | 中证 沪深 国证 | 中证 | 中证 | ...
【广发金工】AI识图关注化工、非银和卫星
广发金融工程研究· 2026-01-04 08:57
Market Performance - The Sci-Tech 50 Index decreased by 0.59% and the ChiNext Index fell by 0.82% over the last five trading days, while the large-cap value index rose by 0.01% and the large-cap growth index declined by 0.39% [1] - The Shanghai Stock Exchange 50 Index increased by 0.20%, and the small-cap index represented by the CSI 2000 rose by 1.09%, with defense and military, as well as oil and petrochemical sectors performing well, while telecommunications and comprehensive sectors lagged [1] Valuation Levels - As of December 31, 2025, the static PE ratio of the CSI All Share Index is at the 82nd percentile, with the Shanghai 50 and CSI 300 both at 75%, and the ChiNext Index close to 58% [1] - The CSI 500 and CSI 1000 are at 62% and 64% respectively, indicating that the ChiNext Index's valuation is relatively at the historical median level [1] Fund Flows - In the last five trading days, ETF inflows amounted to 25.6 billion yuan, and the margin trading balance increased by approximately 23.8 billion yuan, with an average daily trading volume of 208.23 billion yuan across the two markets [2] Thematic Investment - The latest thematic allocation includes sectors such as chemicals, non-bank financials, and satellite communications, specifically focusing on sub-indices like the CSI Sub-Industry Chemical Index, the National Index for Commercial Satellite Communications, and the CSI 300 Non-Bank Financial Index [2][3] AI and Machine Learning Insights - A convolutional neural network (CNN) model has been utilized to analyze charted price and volume data, mapping learned features to industry thematic sectors, indicating a trend towards AI-driven investment strategies [11]
量化择时周报:上行趋势仍在持续,板块如何选择-20260104
ZHONGTAI SECURITIES· 2026-01-04 08:46
分析师:吴先兴 执业证书编号:S0740525110003 Email:wuxx02@zts.com.cn 分析师:王鹏飞 执业证书编号:S0740525060001 Email:wangpf@zts.com.cn 量化择时周报:上行趋势仍在持续,板块如何选择 证券研究报告/金融工程定期报告 2026 年 01 月 04 日 1、《量化择时周报:市场于周二再度 重 回 上 行 趋 势 , 保 持 积 极 》 2025-12-28 2、《净利润断层策略本年绝对收益 69.56%》2025-12-28 3、《量化择时周报:市场格局仍在反 复,谨慎应对》2025-12-21 报告摘要 上行趋势仍在持续,板块如何选择 请务必阅读正文之后的重要声明部分 上周周报(20251228)认为:短期进入重大宏观事件的相对真空期,有利于风险偏好 的提高。综合来看,市场在赚钱效应的驱动下,增量资金有望持续入市,上行趋势有 望持续。最终 WIND 全 A 全周小幅下跌 0.33%。市值维度上,上周代表小市值股票的 中证 1000 下跌 0.13%,中盘股中证 500 指数上涨 0.09%,沪深 300 下跌 0.59%,上 证 50 ...
——量化择时周报20251228:部分指标震荡修复,市场情绪有望筑底-20251229
Shenwan Hongyuan Securities· 2025-12-29 07:27
Group 1 - Market sentiment score has stabilized at 1.1 as of December 26, indicating a neutral outlook, with signs of improvement in trading activity [7][11][14] - The overall trading volume for the week increased by 11.63% compared to the previous week, with an average daily trading volume of 19,651.66 billion RMB, peaking at 21,811.04 billion RMB on December 26 [14][16] - The financing balance ratio continues to rise, reaching a new high, indicating an increase in leveraged funds and a recovery in risk appetite [25][27] Group 2 - The short-term scores for industries such as computers, real estate, pharmaceuticals, automobiles, and machinery have shown upward trends, with non-ferrous metals, light industry manufacturing, and communications having the highest short-term scores of 88.14 [35][36] - The industry trading volatility has decreased, indicating a slowdown in capital switching between sectors, with liquidity marginally tightening [20][22] - The correlation between industry congestion and weekly price changes is positive at 0.16, suggesting that sectors with high congestion, like defense and construction materials, have seen significant gains [39][41] Group 3 - The RSI indicator has shown significant improvement, indicating a reduction in selling pressure and a recovery in upward momentum [28][30] - The model indicates a preference for small-cap and growth styles, with the 5-day RSI relative to the 20-day RSI continuing to rise, suggesting potential strengthening of these signals [44][45] - The model's findings highlight that high congestion in sectors can lead to strong price movements but also increases the risk of rapid corrections if market expectations change [38][39]
量化择时周报:部分指标震荡修复,市场情绪有望筑底-20251229
Shenwan Hongyuan Securities· 2025-12-29 05:43
证券分析师 沈思逸 A0230521070001 shensy@swsresearch.com 邓虎 A0230520070003 denghu@swsresearch.com 2025 年 12 月 29 日 部分指标震荡修复,市场情绪有望 筑底 ——量化择时周报 20251228 相关研究 量 化 策 略 - ⚫ 市场情绪得分震荡回升:截至 12 月 26 日,市场情绪指标数值为 1.1,较上周五的 1.1 持 平,情绪得分震荡维稳,从情绪角度来看观点偏中性。从所有分项指标的变化来看,本周 情绪指数综合得分周内有所改善,市场交易活跃度出现反转回升迹象。 ⚫ 情绪出现修复改善,指标分化仍存:本周价量一致性指标周内维持震荡走势,周后段出现 明显回升,较前期有所改善,市场价量匹配程度回升,资金关注度与标的涨幅相关性增强, 情绪端呈现边际回暖;科创 50 相对万得全 A 成交占比延续下行趋势,反映高弹性板块参 与度仍偏低,风险偏好修复仍显不足;行业间交易波动率持续下降并下穿布林带上界,资 金在不同行业间切换节奏放缓,跨行业轮动意愿减弱,流动性边际趋缓;行业涨跌趋势性 指标维持在布林带上界附近震荡,行业观点一致性较 ...
国泰海通|金工:量化择时和拥挤度预警周报(20251226)市场有望重回上行趋势
国泰海通证券研究· 2025-12-28 14:49
风险提示。 市场系统性风险、海外市场波动风险、模型误设风险。 报告导读: 从技术面来看,情绪模型信号发出做多信号,A股市场或将开启新的一轮上 行。因此,我们认为,市场有望重回上行趋势。 下周(20251229-20251231,后文同)市场观点:市场有望重回上行趋势。 从量化指标上看,基于沪深300指数的流动性冲击指标周五为0.34,低于前一周 (0.41),意味着当前市场的流动性高于过去一年平均水平0.34倍标准差。上证50ETF期权成交量的PUT-CALL比率震荡上升,周五为0.88,高于前一周 (0.83),投资者对上证50ETF短期走势谨慎程度上升。上证综指和Wind全A五日平均换手率分别为1.06%和1.66%,处于2005年以来的69.45%和75.13%分位 点,交易活跃度有所上升。从宏观因子上看,上周人民币汇率震荡,在岸和离岸汇率周涨幅分别为0.46%、0.42%。日历效应上,2005年以来,上证综指、沪 深300、中证500、创业板指在12月下半月上涨概率分别为50%、55%、45%、40%,涨幅均值分别为1.2%、1.08%、-0.11%、-0.84%,涨幅中位数分别 为-0.07%、0. ...
量化择时周报:市场于周二再度重回上行趋势,保持积极-20251228
ZHONGTAI SECURITIES· 2025-12-28 12:44
- The report introduces a timing system that uses the distance between the 120-day long-term moving average and the 20-day short-term moving average of the WIND All A Index to determine market trends. The short-term moving average is above the long-term moving average, with a distance of 3.38%, which is significantly greater than 3%, indicating the market has returned to an upward trend[2][6][11] - The "profitability effect" is used as a core indicator to assess market conditions. The current market trend line is at 6237 points, and the profitability effect is 3.12%, which is significantly positive, suggesting the upward trend is likely to continue[5][7][11] - The "Mid-term Distress Reversal Expectation Model" signals a focus on retail, tourism, and other service-oriented consumption sectors[5][7][11] - The "TWO BETA Model" continues to recommend the technology sector, with a focus on domestic computing power and commercial aerospace[5][7][11] - The "Industry Trend Model" indicates that sectors such as communication, industrial metals, and energy storage are maintaining an upward trend[5][7][11] - The valuation metrics for the WIND All A Index show that the PE ratio is at the 85th percentile, indicating a relatively high level, while the PB ratio is at the 50th percentile, indicating a medium level[5][7][11] - Based on the "Position Management Model," the report suggests an 80% equity allocation for absolute return products using the WIND All A Index as the primary stock allocation benchmark[5][7][11]
【广发金工】AI识图关注化工、非银、通信和卫星
广发金融工程研究· 2025-12-28 03:02
Market Performance - The Sci-Tech 50 Index increased by 2.85% over the last five trading days, while the ChiNext Index rose by 3.90%. The large-cap value index fell by 0.02%, and the large-cap growth index increased by 2.70%. The Shanghai 50 Index gained 1.37%, and the small-cap index represented by the CSI 2000 rose by 3.55%. The sectors of non-ferrous metals and national defense performed well, while beauty care and social services lagged behind [1]. Valuation Levels - As of December 26, 2025, the static PE ratio of the CSI All Share Index is at the 82nd percentile. The Shanghai 50 and CSI 300 both stand at 74%, while the ChiNext Index is close to 59%. The CSI 500 and CSI 1000 are at 62% and 64%, respectively. The valuation of the ChiNext Index is relatively at the historical median level [1]. Risk Premium - The risk premium, calculated as the inverse of the static PE of the CSI All Share Index minus the yield of the 10-year government bond, is at 2.69% as of December 26, 2025. The two standard deviation boundary is at 4.70% [1]. Fund Flows - In the last five trading days, ETF inflows amounted to 41.6 billion yuan, and the margin trading balance increased by approximately 45.7 billion yuan. The average daily trading volume across the two markets was 1.9454 trillion yuan [2]. Thematic Investment - The latest thematic investment configuration includes sectors such as chemicals, non-bank financials, communications, and satellite industries. Specific indices mentioned are the CSI Sub-Industry Chemical Index, CSI 300 Non-Bank Financial Index, CSI All Share Communication Equipment Index, and the National Satellite Communication Industry Index [2][3]. AI and Machine Learning Application - The application of convolutional neural networks (CNN) for modeling price and volume data has been explored, focusing on standardizing chart data to predict future prices and mapping learned features to industry themes [10].