Quantitative Models and Construction Methods 1. Model Name: Multi-Cycle Timing Model Based on Bond YTM - **Model Construction Idea**: The model uses kernel regression algorithms to capture the trend patterns of interest rates, depicting the support and resistance lines of interest rate data. It provides multi-cycle composite timing views based on the shape breakthrough situations of interest rate trends in different investment cycles[10][18]. - **Model Construction Process**: - **Data Source**: 5-year, 10-year, and 30-year government bond YTM data. - **Signal Calculation**: - Long cycle: monthly frequency - Medium cycle: bi-weekly frequency - Short cycle: weekly frequency - **Signal Interpretation**: - 5-year bond YTM: Long cycle no signal, medium cycle downward breakthrough, short cycle no signal. Final signal: neutral oscillation[10][12]. - 10-year bond YTM: Long cycle downward breakthrough, medium cycle downward breakthrough, short cycle downward breakthrough. Final signal: bullish[13][15]. - 30-year bond YTM: Long cycle no signal, medium cycle downward breakthrough, short cycle downward breakthrough. Final signal: bullish[16][17]. - **Model Evaluation**: The model effectively captures the trend patterns of interest rates and provides clear timing signals based on multi-cycle analysis. Model Backtesting Results 1. Multi-Cycle Timing Model Based on 5-Year Bond YTM - **Annualized Return**: 2.15% since the end of 2024[4][22]. - **Maximum Drawdown**: 0.73%[4]. - **Return-Drawdown Ratio**: 3.64[4]. - **Excess Return**: 0.8% relative to the performance benchmark[4]. - **Probability of Positive Annual Absolute Return**: Close to 100% since 2008[4]. 2. Multi-Cycle Timing Model Based on 10-Year Bond YTM - **Annualized Return**: 2.47% since the end of 2024[4][25]. - **Maximum Drawdown**: 0.98%[4]. - **Return-Drawdown Ratio**: 4.28[4]. - **Excess Return**: 1.32% relative to the performance benchmark[4]. - **Probability of Positive Annual Absolute Return**: Close to 100% since 2008[4]. 3. Multi-Cycle Timing Model Based on 30-Year Bond YTM - **Annualized Return**: 3.07% since the end of 2024[4][30]. - **Maximum Drawdown**: 1.72%[4]. - **Return-Drawdown Ratio**: 3.35[4]. - **Excess Return**: 2.78% relative to the performance benchmark[4]. - **Probability of Positive Annual Absolute Return**: Close to 100% since 2008[4].

Core Viewpoint - The article discusses the current state and future predictions of gold prices, highlighting the significant increase in gold prices and the contrasting views from various financial institutions regarding future trends [2][4][20]. Group 1: Current Gold Price Analysis - Gold prices have risen over 60% this year, currently exceeding $4,000 per ounce [2]. - The historical average ratio of gold prices to U.S. CPI is 3.2 times, but currently, this ratio has surged to 6 times, indicating that gold may have overextended its future purchasing power [4]. Group 2: Institutional Predictions for 2026 - Goldman Sachs predicts gold prices could reach $4,900 by 2026, while UBS estimates $4,500, and the World Gold Council suggests a potential increase of 30% or a decrease of 20% [2]. - The pricing logic for gold in 2026 has shifted from merely "inflation hedging" to a "trust game," influenced by geopolitical factors and central bank behaviors [5]. Group 3: Central Bank Behavior - Following the Russia-Ukraine conflict, global central banks have significantly increased gold purchases, with net purchases exceeding 1,000 tons annually from 2022 to 2024, more than double the previous decade's average [7]. - This shift is driven by concerns over the safety of dollar assets, leading to gold being viewed as a "no-counterparty risk asset" [7]. Group 4: Interest Rates and Economic Conditions - The Federal Reserve is expected to lower interest rates from 4.5% to around 3.6%, which would reduce the opportunity cost of holding gold, making it more attractive [9]. - A potential "fiscal and monetary double easing" scenario could lead to a depreciation of the dollar, further boosting gold prices [9]. Group 5: Future Scenarios for Gold Prices - Three potential scenarios for gold prices by 2026 are outlined: 1. Moderate price increase of 15%-30% if the global economy remains stable [11]. 2. A sharp rise if the U.S. economy enters a deep recession or geopolitical tensions escalate [12]. 3. A significant decline of 5%-20% if the U.S. economy performs better than expected, leading to stronger dollar and interest rates [14]. Group 6: Shift in Gold Pricing Power - The power of gold pricing is shifting from London and New York to the East, with Hong Kong developing an international gold trading and clearing system [18]. - The acceleration of the renminbi's internationalization could fundamentally alter gold pricing logic, potentially making it more dependent on the renminbi rather than the dollar [18].

Group 1 - The article discusses the "gambler's fallacy," where individuals believe that past independent events influence future outcomes, leading to irrational betting behavior [1][2][8] - It explains the difference between "independent event probability" and "mean reversion," emphasizing that while individual events are independent, over a large number of trials, probabilities will converge to expected values [2][3] - The concept of "infinite" is introduced, indicating that past outcomes have negligible impact on future results, reinforcing the idea that gamblers often misinterpret random sequences as patterns [3][4][6] Group 2 - The article highlights the psychological phenomenon known as the "Zeigarnik effect," which explains why individuals struggle to abandon ongoing tasks or investments, as they feel a psychological tension until the task is completed [19][22] - It suggests that the perception of time influences decision-making, where continuous events are misinterpreted as connected, leading to flawed reasoning in gambling and investing [11][15] - The article provides two recommendations to mitigate the gambler's mindset: resetting time to create a psychological break and pre-setting stop-loss mechanisms to manage risk effectively [27][29]

风险提示：本文所提到的观点仅代表个人的意见，所涉及标的不作推荐，据此买卖，风险自负。 作者： 张翼轸 来源：雪球 2025 年 ， 对于坚守 A 股红利的投资者而言 ， 体感确实有些 " 丧 " 。 虽然手里拿着中证红利 ， 一年四次的季度分红落袋为安 ， 那份现金流的快乐是真实的 ； 但不可否认 ， 在今年 A 股这波热闹的牛市中 ， 红利资 产的总体收益显得过于 " 安静 " 了 。 不仅收益不起眼 ， 甚至被一江之隔的港股高股息板块远远甩在身后 。 这种 " 踏空感 " 难免让人心生疑虑 。 但作为理性投资者 ， 在失望之余我们更需要问的是 ： 2025 年的 " 灰头土脸 " 之后 ， 2026 年还有戏吗 ？ 为透支的溢价买单 2025 年 ， A 股红利板块 ， 以中证红利作为代表 ， 说有点 " 灰头土脸 " 并不奇怪 。 ↑点击上面图片 加雪球核心交流群 ↑ 下图是中证红利全收益指数与港股通高股息人民币全收益指数的走势对比 ， 截至 12 月 12 日 ， 港股这块收益高达 21.09% ， 而中证红利全收 益指数只有 2.24% ， 区区一个零头 。 但是，作为一个红利投资者 ， 是必须把 ...

Core Viewpoint - There is a possibility of a significant adjustment in global gold prices in the first half of 2026, potentially declining by 10% to 20% [1] Group 1: Historical Price Trends - From December 30, 2024, to December 10, 2025, the LBMA gold price in the UK rose from $2,609.10 per ounce to $4,200.15 per ounce, marking a 61% increase, making it the best-performing asset class globally in 2025 [1] - Gold prices reached a historic high of $4,294.35 per ounce on October 20, 2025, before experiencing an 8% decline to $3,948.50 per ounce on October 28, 2025, and then fluctuating between $4,000 and $4,200 [1] Group 2: Inflation and Gold Prices - Historically, gold prices have been viewed as a hedge against inflation, with a long-term average ratio of gold prices to the U.S. CPI index at 3.2 times [2] - Currently, this ratio is close to 6 times, indicating a significant deviation from historical averages, which raises the probability of a price correction in the future [2] Group 3: Correlation with Risk Assets - Traditionally, gold prices are expected to have a negative correlation with mainstream risk assets, but both the S&P 500 index and gold prices have shown significant increases since Q4 2022 [4] - The future relationship between gold and equities remains uncertain, raising questions about which asset may adjust first if a divergence occurs [4] Group 4: Interest Rates and Gold Prices - The theoretical relationship suggests that gold prices should negatively correlate with interest rates; however, recent years have shown a lack of significant correlation [7] - For instance, despite a rise in U.S. 10-year Treasury yields from 0.5% to over 4% between late 2020 and mid-2023, gold prices remained relatively stable [7] Group 5: Economic and Geopolitical Risks - Gold prices are positively correlated with global economic policy uncertainty, particularly following significant policy changes, such as the introduction of "reciprocal tariffs" by the Trump administration [10] - Despite a decrease in the global economic policy uncertainty index and geopolitical risk index, gold prices have remained high, suggesting potential for a significant correction if conditions do not worsen [11] Group 6: Dollar Influence on Gold Prices - Gold prices are primarily traded in U.S. dollars, leading to a historical negative correlation with the dollar index; however, this relationship has varied over time [13] - In 2025, despite a 10% depreciation of the dollar index, gold prices surged by 60%, indicating that dollar fluctuations are not the primary driver of gold price changes [13] Group 7: Future Predictions - The baseline prediction suggests that the probability of significant escalation in trade tensions before the 2026 U.S. midterm elections is low, which may lead to a stable dollar index between 95 and 100 [17] - If these conditions hold, a significant adjustment in gold prices may occur in the first half of 2026, unless unexpected geopolitical conflicts arise or trade policies are reintroduced [17]

Core Viewpoint - The article discusses the misconception that investment success is purely based on luck, emphasizing that behind seemingly lucky outcomes lies a rigorous logic and understanding of market dynamics [1] Group 1: Scientific Aspects of Investment - The principle of mean reversion is highlighted as a fundamental rule in investing, indicating that after prolonged price increases, a decline is inevitable, and vice versa [3] - A case study is presented where a fund manager applied mean reversion logic, reducing exposure to a high-valued stock and reallocating to undervalued consumer sectors, resulting in top-tier performance by late 2024 [3] - The A-share market's liquor sector is cited as an example of mean reversion, demonstrating cycles of price increases and decreases, ultimately aligning with reasonable valuations [5] Group 2: Artistic Aspects of Investment - The unpredictability of market sentiment is discussed, noting that valuation is often subjective and not an exact science, as illustrated by differing valuations from renowned investors like Buffett and Munger [7] - The article emphasizes the importance of understanding industry dynamics and market sentiment, with examples of contrasting views on the AI sector's valuation in 2025 [7] - A notable example is provided where a tech company's stock price dropped 70% due to poor performance, leading to a significant rebound of 50% after being identified as undervalued [7] Group 3: Avoiding Luck Traps - Two key principles for avoiding reliance on luck in investment are outlined: avoiding being trapped by sunk costs and considering opportunity costs [9] - A case is mentioned where an investor held onto a losing stock due to sunk costs, resulting in increased losses, highlighting the need for decisive action upon recognizing fundamental issues [11] - The importance of evaluating whether current investments are the best use of capital is stressed, with a reference to Buffett's analogy regarding player batting averages [11]

Group 1 - The core viewpoint of the article emphasizes the inadequacy of using moving averages to measure market sentiment, arguing that it reflects rationality rather than true emotional responses [1] - The article introduces a new method for measuring market sentiment through the TR value, which captures the maximum daily price movement, suggesting that the frequency of breakthroughs in maximum tension is a more accurate measure of sentiment [1] - The sentiment curve derived from TR calculations includes three lines representing 10-day, 20-day, and 40-day sentiment values, with specific thresholds indicating "emotional boiling" and "emotional freezing" regions [1] Group 2 - Key insights include that extreme sentiment values often lead to price reversals [3] - The synchronization of extreme values across the three sentiment lines indicates a significant potential for price reversals [3] - Discrepancies between large sentiment peaks and small sentiment movements suggest lower reliability in predicting market behavior [3] - A significant divergence between sentiment peaks and price peaks indicates a potential turning point in the market [3]

Core Viewpoint - The market is experiencing fluctuations as high dividend stocks have seen a pullback, with the CSI Dividend Index underperforming the Wind All A Index by 5.28% over the past 40 days, indicating a potential opportunity for strategic positioning [1][7]. Fund Flows - Significant inflows into high dividend ETFs have been observed, with a net inflow of 624 million yuan as of December 12, and a total of 1.851 billion yuan over the past month [1][17]. - The CSI Dividend ETF (515080) has been a major contributor, with a net inflow of 312 million yuan in the last five days and 880 million yuan over the past 20 days [1][17]. Dividend Distribution - A concentrated period of mid-term dividends has occurred, with 39 companies in the CSI Dividend Index distributing a total of 346.7 billion yuan in dividends, including major contributions from banks and oil companies [1][21][22]. Market Sentiment and Strategy - Analysts suggest that the end of the year may present investment opportunities in dividend assets, with a favorable configuration time noted due to institutional adjustments and historical performance patterns [2][24]. - Caution is advised regarding external factors, with a focus on financial and dividend sectors as a stable base for investments, especially as liquidity is expected to improve post-Spring Festival [2][25]. Performance Metrics - The latest dividend yield for the CSI Dividend Index stands at 4.97%, significantly higher than the 10-year government bond yield of 1.84%, highlighting the relative attractiveness of high dividend stocks [10][12]. - The current price-to-earnings (PE) ratio is 8.31, which is at the 96.47th percentile over the past five years, indicating a potentially undervalued position in the market [13]. Historical Performance - Over the past decade, the CSI Dividend Total Return Index has shown a total return of 101.41%, outperforming the CSI Dividend Index, which has returned 29.05% [4].

Core Viewpoint - The emergence of the "third generation" of stars in the entertainment industry is notable, with some benefiting from familial connections while others face scrutiny regarding their talent and appearance [1][52]. Group 1: Star Profiles - Han Zixuan (born 2014), granddaughter of actor Pu Cunxin, has recently debuted in a short drama, receiving mixed reviews regarding her appearance [3][54][55]. - Chen Dayu (born 1989), son of Chen Peisi and grandson of Chen Qiang, gained recognition through the film "The Stage" and has shown promising acting skills despite not achieving the same level of fame as his family [18][69][73]. - Chen Feiyu (born 2000), son of director Chen Kaige and actress Chen Hong, is noted for his good looks and has participated in several films, with room for improvement in his acting [24][76][87]. - Xie Zhenxuan (born 2007), son of Xie Tingfeng and Zhang Baizhi, has been in the spotlight since birth and is rumored to pursue music studies in Australia [90][100].

Core Viewpoint - A significant "technical storm" driven by index rules is anticipated, primarily affecting the strong-performing gold and silver markets [2] Group 1: Technical Adjustments and Market Impact - The Bloomberg Commodity Index (BCOM) is set for annual weight rebalancing in January 2026, which is expected to exert substantial selling pressure on gold and silver futures [3][4] - Gold and silver have outperformed other commodities over the past three years, leading to an elevated weight in the BCOM index, necessitating passive funds to sell positions during the rebalancing [5] - The report predicts a staggering sell-off scale, with silver facing the heaviest pressure, estimated at about 9% of its total open contracts, while gold is expected to see a sell-off of approximately 3% [6][7] Group 2: Seasonal Trends vs. Technical Selling - January will present a battleground of bullish seasonal trends against bearish technical selling for gold investors [9] - Historically, gold prices have averaged a 4.6% increase during the last ten trading days of the year to the first twenty trading days of the next year, with an 80% probability of rising [10] - The anticipated technical selling pressure from index rebalancing may counteract the traditional seasonal bullish trend, particularly for silver, which faces greater selling pressure this year [12] Group 3: Broader Commodity Market Effects - The rebalancing will impact various commodities beyond precious metals, creating complex long and short dynamics across different indices [13] - Cocoa is expected to be the biggest winner, with anticipated buying pressure equivalent to 22% of its total open contracts due to its re-inclusion in the BCOM index [14] - The energy market will see minimal overall impact, but natural gas may experience selling pressure of about 3% of its total open contracts [15] - Industrial metals will see mild buying pressure, particularly lead, which is projected to receive about 3% of its total open contracts [16] Group 4: Market Volatility and Key Observations - The rebalancing involves not only BCOM but also the S&P GSCI index, with overlapping adjustment windows from January 8 to 15, 2026 [18] - The total assets tracking BCOM exceed $60 billion, indicating that such a large-scale adjustment will amplify market volatility [19] - Notable discrepancies in adjustment directions between BCOM and S&P GSCI could trigger cross-index arbitrage activities and unusual market fluctuations, making the second week of January 2026 a critical observation period for investors [19]