周观点：央行强调加大收储推进力度 央行召开 2025 年第二季度例会，房地产层面，会议要求着力推动已 出台金融政策措施落地见效，加大存量商品房和存量土地盘活力度， 持续巩固房地产市场稳定态势，完善房地产金融基础性制度，助力构 建房地产发展新模式。 我们认为，在当前 5、6 月，房地产复苏动能减弱，市场下行压力增 加的背景下，7 月将迎来新一轮的政策宽松周期，今年以来出台的包 括收储、城中村改造及对房企的融资宽松政策，预计在三季度将加大 实施力度，助力行业止跌回稳。建议关注困境反转类房企：金地集团、 新城控股等；保持拿地强度的龙头招商蛇口、绿城中国、保利发展、 滨江集团等；多元经营稳健发展的地方国企浦东金桥、外高桥等。 销售回顾（6.21-6.27） 重点监测 32 城合计成交总套数为 2.4 万套，环比上周增长 41%；2025 年累计成交总套数为 40.6 万套，累计同比下降 4.6%。其中，一线城 市成交 6085 套，环比上周增长 36.2%，2025 年累计成交 11.6 万套， 累计同比增长 9.6%；二线城市成交 15455 套，环比上周增长 47.4%， 2025 年累计成交 24.2 万套，累 ...

2025 年 06 月 29 日 计算机 政策持续推进，加快建设加密货币新生态 大陆：数字人民币和稳定币双管齐下，RWA 成为重要金融工具 美国：GENIUS 法案获参议院通过，金融生态持续拓展 6 月 17 日，美国参议院以 61 票赞成、37 票反对的表决结果通过了 《指导和建立美国稳定币国家创新法案》（简称 GENIUS 法案）。这是 美国国会首次在参议院层面通过专门针对稳定币的监管立法，。6 月 25 日，美国联邦住房金融署(FHFA)命令住房贷款机构，考虑将加密 货币作为住宅抵押贷款风险评估的资产。这一指令有望继续推动加 密货币在美国普及。此外，美国加密货币交易所 Coinbase 宣布成为 首个获得 CFTC（美国商品期货交易委员会）批准，提供 24/7 全天候 比特币和以太坊期货交易的合规平台。我们认为，伴随 GENIUS 法案 的推进，以及加密货币衍生品和抵押贷款等金融工具的推出，美国加 密货币金融生态持续拓展。 香港：发布数字资产发展政策宣言 2.0，政策体系逐渐完善 6 月 26 日，香港特区政府发表《香港数字资产发展政策宣言 2.0》， 重申特区政府致力将香港打造成数字资产领域中的全球创 ...

Quantitative Models and Construction Methods 1. Model Name: Divergence-Based Turning Points - **Model Construction Idea**: The model identifies potential price turning points by observing divergences between price trends and volume or technical indicators (e.g., MACD). Divergences signal weakening momentum, suggesting a possible reversal in the price trend [2][9]. - **Model Construction Process**: 1. Identify price making new highs or lows. 2. Check if corresponding volume or MACD fails to make new highs or lows, indicating divergence. 3. Confirm divergence using additional signals: - For MACD, use green bar shortening or yellow/white line crossover for confirmation [10]. - Apply wave theory to filter valid signals by identifying five-wave structures in trends [14][16]. 4. Combine divergence signals with moving averages to determine market conditions (e.g., bull or bear market) [14][16]. - **Model Evaluation**: Divergence signals alone have a success rate of less than 55% for predicting turning points. However, combining them with wave theory and moving averages improves accuracy to over 65% [13][16][17]. 2. Model Name: V-Shaped Reversal Turning Points - **Model Construction Idea**: This model uses the "Temperature Indicator" to measure the degree of price deviation from moving averages, identifying extreme conditions that may signal V-shaped reversals [3][18][19]. - **Model Construction Process**: 1. Calculate a moving average (e.g., 60-day for short-term trends, annual for long-term trends). 2. Shift the moving average left by half its parameter length. 3. Linearly extrapolate the last two points of the shifted moving average. 4. Compute the deviation (bias) of each price point from the extrapolated moving average. 5. Calculate the percentile rank of the deviation over a rolling window to derive the "Temperature Indicator," which ranges from 0 to 100 [18][19]. 6. Define thresholds for identifying turning points: - In bear markets, both high-frequency and low-frequency temperature indicators must fall below 10. - In range-bound markets, only the high-frequency indicator below 10 is sufficient. - In bull markets, consider additional risks and adjust thresholds (e.g., high-frequency indicator below 15 or 10) [19][21][26]. - **Model Evaluation**: The model effectively identifies turning points in various market conditions but requires adjustments for bull markets to account for strong trends and potential false signals [27][28]. --- Model Backtesting Results 1. Divergence-Based Turning Points - **Accuracy**: Basic divergence signals have a success rate below 55% but improve to over 65% when combined with wave theory and moving averages [13][16][17]. 2. V-Shaped Reversal Turning Points - **Bear Market**: High-frequency and low-frequency temperature indicators below 10 successfully identified rebounds in January, February, and April 2022, each lasting over a month [21]. - **Range-Bound Market**: High-frequency temperature indicator below 10 identified rebounds in January and April 2025 during a three-quarter-long consolidation phase [22][25]. - **Bull Market**: High-frequency temperature indicator below 10 or 15 identified five strong buying opportunities in gold futures from 2023 to 2025 [26]. --- Quantitative Factors and Construction Methods 1. Factor Name: Temperature Indicator - **Factor Construction Idea**: Measures price deviation from moving averages to identify extreme overbought or oversold conditions [18][19]. - **Factor Construction Process**: 1. Use a moving average (e.g., 60-day or annual) to represent the trend. 2. Shift the moving average left by half its parameter length. 3. Linearly extrapolate the last two points of the shifted moving average. 4. Calculate the deviation (bias) of each price point from the extrapolated moving average. 5. Compute the percentile rank of the deviation over a rolling window to derive the factor value, ranging from 0 to 100 [18][19]. - **Factor Evaluation**: The factor effectively identifies extreme market conditions but requires different thresholds for bear, range-bound, and bull markets to optimize performance [19][21][26]. --- Factor Backtesting Results 1. Temperature Indicator - **Bear Market**: High-frequency and low-frequency indicators below 10 identified rebounds in January, February, and April 2022 [21]. - **Range-Bound Market**: High-frequency indicator below 10 identified rebounds in January and April 2025 [22][25]. - **Bull Market**: High-frequency indicator below 10 or 15 identified five strong buying opportunities in gold futures from 2023 to 2025 [26].

2025 年 06 月 29 日 继续高位震荡 本期要点：继续高位震荡 前期提到，市场或以以时间换空间的方式来完成调整，可以先防守再 择机寻找进攻机会。事后来看，本轮调整的时间比预期的要短，并且 在上周上半周放量向上突破近期高点。 从纯技术面的角度来看，连续放量上涨一举突破近期高点，无疑是有 效突破的明显证据，一旦阻力位被有效突破之后，将转变成比较重要 的支撑位。从过去一段时间的均线多头排列状态，以及每次调整之后 的调整幅度和修复节奏来看，二季度市场的多头承接力度还是非常强 的。因此，虽然当前市场在急涨之后或有一定的技术性调整压力，但 潜在的调整风险或较小。 虽然大盘上周放量突破了近期高点，但很难有足够的证据表明是否即 将再次迎来一波有效且持续的上涨。当下，即使以较保守的区间震荡 的思路来分析，那么正常而言应该将 3509 作为过去三个季度里的震 荡区间上轨，而 3674 则是极端情形下的极限上轨。从这个角度看， 未来一段时间市场或仍将至少维持震荡或震荡上行格局。 在行业板块上，我们的四轮驱动模型建议关注计算机、汽车、机械设 备、医药生物、非银、传媒、电子、通信等板块的机会。 风险提示：根据历史数据构建的模型 ...

Group 1: Historical Consumption Trends in the U.S. - From 1960 to 1990, the Permanent Income Hypothesis (PIH) effectively explained consumer behavior, but its validity diminished post-2000 due to financial innovations and external shocks[2] - The average consumption propensity in the U.S. has fluctuated between 85% and 96%, indicating a consumption-driven economy[27] - The financial crisis of 2008 led to a significant drop in consumption propensity, which only began to recover in 2013 but remained below pre-crisis levels[30] Group 2: Factors Influencing Consumption - Tax cuts and financial innovations have historically boosted U.S. consumer propensity, suggesting similar strategies could benefit China amid its aging population[2] - The wealth effect, particularly from real estate, has a dual impact on consumption, with rising home values increasing spending capacity while high mortgage burdens suppress it[61] - Rising rental costs have increased the share of disposable income spent on housing, from under 22% in 2001 to nearly 30% in 2023, further constraining consumer spending[64] Group 3: Policy Implications - U.S. consumption policies, including tax reductions and unemployment benefits, have been crucial in stimulating economic growth during downturns[36] - The expansion of social security and healthcare spending has a positive correlation with consumption propensity, although recent stagnation in these areas may limit future growth[69] - The shift in monetary policy frameworks has led to a greater reliance on current income rather than long-term expectations, affecting consumer behavior[54]

Group 1 - The report outlines three potential market scenarios for the second half of the year, drawing parallels to 2019, 2020, and 2024, with the 2019 comparison being the most accepted [1][9] - The 2020 scenario emphasizes a bull market driven by synchronized policy responses from the US, Europe, and China, with a focus on large-cap growth assets [1][33] - The 2024 scenario suggests a potential double bottom formation, with a focus on high-dividend strategies, although it does not currently indicate a clear risk of a second bottom for A-shares [2][49] Group 2 - The 2019 comparison highlights a market characterized by a "push-up" pattern, with a rotation between consumption and technology sectors, driven by improving confidence in the transition from old to new economic drivers [3][15] - The report notes that the current market is experiencing a similar structural rotation as seen in 2019, with significant contributions from new consumption and technology sectors [3][29] - The analysis indicates that the current market environment is in a phase where new economic trends are expected to outperform old ones, particularly in sectors like hardware technology and new consumption models [4][49] Group 3 - The 2020 comparison points out that the market's recovery was supported by a global liquidity influx and a rebound in exports, which is not currently mirrored due to reduced reliance on US trade [33][38] - The report emphasizes that the structural characteristics of the 2020 market included a focus on large-cap growth and high-profit certainty, which attracted institutional investment [42][44] - The 2024 scenario indicates that while there are structural challenges, the domestic economy is expected to stabilize, with a target growth rate of around 5% achievable despite potential fluctuations [49][53]

Economic Performance - In May, the general public budget revenue growth rate was 0.1%, a significant drop of 1.7 percentage points from the previous month[4] - Tax revenue decreased by 1.4 percentage points compared to the previous month, marking the first negative growth since 2024[4] - Government fund income in May fell by 7.8% year-on-year, a decline of 15.5 percentage points from the previous month[5] Fiscal Policy and Market Impact - The decline in fiscal growth in May is expected to negatively impact total demand, with potential economic downtrends due to reduced exports and fiscal spending[6] - Government fund expenditure growth in May was 9.1%, down 35.2 percentage points from April, indicating a significant reduction in fiscal strength[6] - The low inflation environment is likely to persist in the short term, adversely affecting corporate profits, household income, and consumption[11] Asset Allocation Insights - The bond market is expected to see yields decline further in a low inflation environment, while dividend stocks continue to outperform[10] - The current liquidity in the financial market is relatively abundant, driven by strong bank credit lending intentions[11] - The performance of different asset classes reflects market pricing in a low inflation environment, with a focus on policy responses to inflation[10] Geopolitical and Policy Considerations - Geopolitical risks and unexpected policy changes remain significant risk factors for the economic outlook[3] - The Federal Reserve's recent meeting maintained the federal funds target rate, reflecting a cautious approach amid economic uncertainties[15]

2025 年 06 月 23 日 鼎捷数智(300378.SZ) 举办数智未来峰会，多款 AI 套件发布 事件概述 6 月 19 日，鼎捷数智股份有限公司于武汉举办 2025（第四届）数智 未来峰会，以"AI 创变·破界生长"为主题，汇集政产学研多方专 家学者、生态伙伴、行业媒体、企业代表等近 1000 名嘉宾参会，共 同探索数智经济时代的前沿路径与未来机遇，解锁 AI 加速驱动业务 场景与生产力创新，重塑核心竞争力的成功范式。我们认为此次峰会 再次全景展现公司在 AI 和大数据领域的布局，主要亮点如下： 面向"AI+"时代，构建 1-2-3 的企业运行模式 鼎捷数智董事长兼总裁叶子祯在峰会中提出了用"一个模型、两种内 核、三类智能体"来构想未来世界运行模式的发展理念。"一个模型" 指的是由人跟智能装备组成的物理世界和由智能体组成的数字世界 共同构成的一个模型，万物皆可放在这个模型里；"两种内核"指的 是快思考的数据自决驱动（通过数据的变化能够实现走一步算一步的 快思考）和慢思考的智能生成驱动（通过人工智能以智能生成的方式 来完成周详的决策或规划）；"三类智能体"指的是数字世界里人的智 能体分身、知识专家智能 ...

2025 年 06 月 23 日 建筑 5 月水利投资维持高增，国企改革深化 提升行动持续推进 本周投资建议： 本周统计局发布数据，2025 年 1-5 月份，全国固定资产投资（不含 农户）19.19 万亿元，同比增长 3.7%，其中狭义基础设施投资同比增 长 5.6%，高出固定资产投资增速 1.9pct；对全部投资增长的贡献率 为 34.5%，比 1-4 月份提高 1.9pct。1-5 月份，计划总投资亿元及以 上项目投资同比增长 6.5%，增速比全部投资高 2.8pct，拉动全部投 资增长 3.6pct。随着地方政府专项债券和超长期特别国债发行使用 加快，"两重"建设加快推进，政府投资带动作用持续显现，基础设施 投资保持稳健增长。 1-5 月份，狭义、广义基础设施投资分别同比增长 5.60%、10.42%， 环比 1-4 月分别-0.20pct、-0.43pct。在基建三大分项中，电热气水 投资增速持续维持高位，1-5 月，电热气水投资同比增长 25.40%（环 比-0.10pct）；其次为水利、环境和公共设施管理业投资，同比增加 7.20%（环比-1.40pct），交通运输、仓储和邮政业投资同比增长 4 ...

2025 年 06 月 22 日 电子 6 月 20 日，Meta 与依视路发布了一款全新的 Oakley Meta HSTN 智 能眼镜，起售价 399 美元。Meta 表示，这款新型智能眼镜采用 Oakley 的 PRIZM Lens 技术，旨在帮助运动员在不断变化的光线和天气条件 下获得更清晰的视野。Oakley Meta AI 眼镜的核心功能仍是拍照、 听歌、接电话，以及 Meta AI，可以随时语音问 Meta AI 各种问题， 可以语音控制眼镜随时拍照、录视频，并一键发送给朋友，在运动场 景中"解放双手"是"刚需"。 DDR4 价格上涨，Meta 发布 AI 眼镜 HBM5 将于 2029 年商业化，性能取决于浸没式冷却。 韩国科学技术院（KAIST）教授指出，HBM5 将于 2029 年商业化，届 时散热技术将取代封装成为 HBM 市场竞争的主要因素，其性能取决 于浸没式冷却方式，而当前 HBM4 采用直接液冷。KAIST Teralab 公 布的 2025-2040 年技术路线图显示，HBM4 到 HBM8 在数据速率、 带宽、容量等方面持续提升，如 HBM5 带宽达 4TB/s、容量 80G ...