Core Viewpoint - The stock price of Fenghuo Communication has increased by 25.62% over the past five days, reaching 46.55 CNY per share, with a total market capitalization of 632.23 billion CNY [1] Group 1: Company Overview - Fenghuo Communication Technology Co., Ltd. was established on December 25, 1999, and went public on August 23, 2001 [1] - The company is located in Wuhan, Hubei Province, and specializes in the research, production, and sales of network information security products and mobile information products [1] - The revenue composition of the company includes: 78.51% from communication system equipment, 18.02% from optical fiber cables, 1.98% from data network products, and 1.49% from other sources [1] Group 2: Fund Holdings - The Fuguo CSI Technology 50 Strategy ETF (515750) holds a significant position in Fenghuo Communication, with a current holding of 774,700 shares, representing 2.67% of the fund's net value [2] - The fund reduced its holdings by 63,800 shares in the third quarter, and has generated a floating profit of approximately 700.32 thousand CNY during the recent five-day stock price increase [2] Group 3: Fund Performance - The Fuguo CSI Technology 50 Strategy ETF was established on November 15, 2019, and currently has a total asset size of 798 million CNY [2] - Year-to-date, the fund has achieved a return of 9.62%, ranking 833 out of 5520 in its category, while its one-year return stands at 58.68%, ranking 998 out of 4203 [2]

Group 1: Macro Timing Strategy - The macro timing strategy has an annualized return of 7.67% as of October 31, 2025, with a Sharpe ratio of 1.45 and a Calmar ratio of 1.67, indicating a maximum drawdown of -4.60% [2][4][5] - The latest portfolio allocation includes 7.01% in CSI 300 ETF, 7.99% in CSI 500 ETF, 55.94% in government bond ETF, 11.63% in soybean meal ETF, 5.02% in non-ferrous ETF, 7.40% in gold ETF, and 5.00% in currency ETF, with no allocation to S&P 500 ETF and corporate bond ETF [7][8] Group 2: Momentum Strategy - The momentum strategy has an annualized return of 18.25% since January 2020, with a Sharpe ratio of 0.88 and a Calmar ratio of 0.64, experiencing a maximum drawdown of -28.72% [9][10] - The latest portfolio allocation includes 27.01% in Huatai-PB CSI Telecom Theme ETF, 24.92% in Fuguo CSI Tourism Theme ETF, 21.52% in Xinhua CSI Cloud Computing 50 ETF, 16.38% in Huatai-PB CSI Smart Car ETF, and 8.17% in Huaxia CSI Artificial Intelligence ETF [13][14] Group 3: Sector Rotation Strategy - The sector rotation strategy has an annualized return of 10.00% since 2020, with an excess return of 7.27% relative to CSI 300, and a maximum drawdown of -42.98% [15] - The latest portfolio includes home appliance ETF, green power ETF, steel ETF, new energy vehicle ETF, financial ETF, and agricultural ETF, while excluding non-ferrous metals ETF and transportation ETF [18][19] Group 4: Copula-Based Second-Order Stochastic Dominance Strategy - The Copula-based second-order stochastic dominance strategy has an annualized return of 14.41% since January 2020, with a Sharpe ratio of 0.68 and a maximum drawdown of -42.62% [20][24] - The latest portfolio allocation includes 5.00% in Huaxia CSI Petrochemical Industry ETF, 85.00% in Fuguo CSI 800 Bank ETF, 5.00% in Fuguo CSI All-Index Securities Company ETF, and 5.00% in Bosera CSI Oil and Gas Resources ETF [23][25] Group 5: Quantile Random Forest Technology ETF Allocation Strategy - The quantile random forest technology ETF allocation strategy has an annualized return of 13.54% since 2020, with a Sharpe ratio of 0.76 and a maximum drawdown of -29.89% [26] - The latest portfolio allocation consists of 95.63% in technology ETFs, including 4.78% in Jiahua National Communication ETF, 4.78% in Tianhong CSI Photovoltaic Industry ETF, 4.78% in Huabao CSI Military Industry ETF, 76.51% in Ping An CSI Consumer Electronics Theme ETF, and 4.78% in Fuguo CSI Technology 50 Strategy ETF [29][30]

Group 1: Report Overview - The report focuses on the construction methods and performance of various ETF portfolios in November 2025, including macro-based, macro + momentum, core - satellite, and trinity style rotation portfolios [2] Group 2: ETF Portfolio Construction Methods Based on Macro Approach - Calculate macro - sensitivity of indices tracked by broad - based, industry - themed, and Smart Beta ETFs according to economic, liquidity, and credit variables, and select ETFs monthly. Also consider adding momentum indicators. Traditional cyclical industries are suitable for economic up - periods, TMT for weak - economic but liquid - abundant times, and consumption benefits from credit expansion. Three ETF portfolios are constructed and rebalanced monthly [5] Trinity Style Rotation - Build a mid - to long - term style rotation model centered on macro - liquidity, compared with the CSI 300 index. Combine three models (growth/value, market - cap, and quality) to get 8 style preference results, then screen target - style - exposed ETFs with controlled industry exposure and set allocation limits [6] Group 3: Macro Industry Portfolio - Select industry - themed ETFs with over 1 - year establishment and over 200 million current scale. Calculate sensitivity scores, adjust according to economic, liquidity, and credit indicators, and select the top 6 industry - themed indices. Currently, with economic indicators rising and liquidity/credit tightening, the portfolio turns to value with high bank and cyclical proportions. November holdings are mainly bank and energy - related ETFs, each with a 16.67% weight. The portfolio has large fluctuations and was close to the CSI 300 in October [7][9][11] Group 4: Macro + Momentum Industry Portfolio - Combine macro and momentum methods to address the left - side bias of macro - based strategies. Use clustering to select one product with the highest 6 - month gain from each of 6 industry - themed groups. The portfolio includes many pro - cyclical industries. November holdings have multiple ETFs, with weights like 16.67% for some and 8.33% for others. The portfolio performed well this year and was close to the CSI 300 in October [12][14][15] Group 5: Core - Satellite Portfolio - Designed to address the high volatility and fast industry rotation of industry - themed ETFs. Use the CSI 300 as the core. Construct three sub - portfolios (broad - based, industry, and Smart Beta) and combine them at 50%, 30%, and 20% respectively. November holdings are mainly mid - to large - cap biased. The portfolio performed steadily this year, outperforming the index almost every month, including in October [16][17][21] Group 6: Trinity Style Rotation ETF Portfolio - The model favors small - cap growth + high - quality segments this period. The portfolio's factor exposure and historical performance are provided. November holdings include ETFs such as Southern CSI 500 ETF and Southern CSI 1000 ETF. The portfolio had significant fluctuations in monthly returns and outperformed the index in most months this year, including in October [22][23][26]