Financial Engineering - The report discusses the tracking of index enhancement strategies, indicating a focus on optimizing investment returns through strategic adjustments in index fund management [1] Market Performance - For the week of November 17-21, 2025, the Shanghai Composite 50 and CSI Dividend Index had the highest returns at -2.72% and -3.69% respectively, while the Micro Index and ChiNext Index had the lowest returns at -7.80% and -6.15% [2] - Year-to-date, the Micro Index and ChiNext Index led with returns of 66.12% and 36.35%, while the CSI Dividend and Shanghai Composite 50 Index lagged with returns of -0.48% and 10.10% [2] - The CSI 1000 Index enhancement strategy yielded a return of -5.89% for the week, underperforming the index return of -5.80%, resulting in an excess return of -0.09% [2] - For the month, the CSI 1000 Index enhancement strategy returned -6.45%, compared to the index return of -5.85%, leading to an excess return of -0.60% [2] - Year-to-date, the CSI 1000 Index enhancement strategy achieved a return of 21.60%, outperforming the index return of 18.63% with an excess return of 2.97% [2] Market Analysis - The CSI 1000 Index has shown weak performance recently, attributed to external uncertainties and internal market pressures, with significant declines observed [3] - External factors include reduced expectations for Federal Reserve interest rate cuts and concerns over an AI bubble, which have negatively impacted global risk appetite and valuations in technology and small-cap sectors [3] - Internally, the market's previous gains have led to a need for risk aversion and portfolio rebalancing as the year-end approaches [3] - The report suggests that the recent market pullback is a result of a combination of external sentiment and technical factors, indicating potential continued volatility in the near term [3] - Investors are advised to be cautious of the high volatility associated with the CSI 1000 Index moving forward [3]

Core Insights - The report indicates that the market has experienced significant fluctuations, with the Shanghai Composite Index and the CSI 1000 Index showing contrasting performances in the recent week and year-to-date [3][5][20] - The CSI 1000 Index enhancement strategy has shown a year-to-date return of 21.60%, outperforming the benchmark index by 2.97% [4][18] Market Performance - In the week of November 17-21, 2025, the Shanghai 50 and CSI Dividend Index had the best performances with returns of -2.72% and -3.69%, while the Micro-cap Index and ChiNext Index had the worst returns at -7.80% and -6.15% respectively [3][7] - Year-to-date, the Micro-cap Index and ChiNext Index led with returns of 66.12% and 36.35%, while the CSI Dividend and Shanghai 50 Index lagged with returns of -0.48% and 10.10% [8][20] Strategy Performance - For the week, the CSI 1000 Index enhancement strategy yielded a return of -5.89%, slightly underperforming the index return of -5.80, resulting in an excess return of -0.09% [4][12] - For the month, the strategy's return was -6.45%, compared to the index's -5.85%, leading to an excess return of -0.60% [16] - Year-to-date, the strategy has achieved a return of 21.60%, outperforming the index return of 18.63% by 2.97% [18] Investment Recommendations - The report suggests that the CSI 1000 Index has shown weak performance recently, attributed to external uncertainties and internal market pressures, indicating a potential for continued volatility [5][20] - The report emphasizes the need for investors to be cautious of the high volatility associated with the CSI 1000 Index, as it may face significant downward pressure in the near term [5][20]

Core Insights - The report highlights the strong performance of the CSI 1000 Index in 2025, driven by its focus on small-cap companies in sectors such as new energy, semiconductors, and medical devices [5][20] - The report indicates that the CSI 1000 Index has shown significant returns, ranking in the middle among major indices for the year, with a year-to-date return of 31.03%, outperforming the benchmark by 6.50% [4][16] Market Performance - For the week of October 20-24, 2025, the top-performing indices were the ChiNext Index and the Sci-Tech 50 Index, with returns of 8.05% and 7.27% respectively, while the lowest were the CSI Dividend and SSE 50 indices, with returns of 1.05% and 2.63% [3][7] - Year-to-date, the Micro-Cap Index and ChiNext Index led with returns of 66.54% and 48.09%, while the CSI Dividend and SSE 50 indices lagged with returns of 1.32% and 13.45% [8] Strategy Performance - The CSI 1000 Index enhancement strategy yielded a return of 3.55% for the week, surpassing the index return of 3.25% by 0.30% [4][13] - For the month, the strategy achieved a return of 0.18%, while the index returned -2.06%, resulting in an excess return of 2.24% [15] - Year-to-date, the strategy's return was 31.03%, compared to the index's 24.53%, leading to an excess return of 6.50% [16] Investment Recommendations - The report suggests that the CSI 1000 Index remains a strong investment opportunity due to its strategic positioning in high-growth sectors and favorable policy signals following the recent political meetings [5][20] - The report emphasizes the importance of adjusting asset allocations towards lower volatility assets as the year-end approaches, while remaining cautious of the inherent volatility in the CSI 1000 Index [5][20]

Core Insights - The report emphasizes the development of a deep learning factor selection system for stock prediction and portfolio optimization, shifting from traditional logic-driven methods to data-driven approaches [7][10]. - The system integrates diverse data sources, including daily and minute market data, to enhance the performance of alpha signals [7][10]. - The report outlines the construction of multiple models that utilize different network architectures to extract unique alpha signals, demonstrating low correlation among them [8][54]. Data and Network - The input data consists of three categories: daily market data, minute market data, and manually crafted features, with neural networks independently extracting alpha features from each dataset [11]. - The report describes the use of Long Short-Term Memory (LSTM) networks combined with self-attention mechanisms to capture long-term dependencies in time series data [19]. - A Graph Attention Network (GAT) is employed to model the complex relationships between stocks, providing a global analysis perspective [20]. Alpha Models - The report presents various alpha models, including simple equal-weight, tree model weighting, and network weighting, with a focus on combining multiple signals to enhance robustness [3][3.1][3.2]. - The average Information Coefficient (IC) for the combined factors since 2019 is reported as 11.3% for 5-day IC and 12.4% for 10-day IC, indicating strong predictive power [31][32]. Risk Models - The report highlights the use of neural networks to identify high-dimensional non-linear risk patterns directly from raw price and volume data, enhancing risk control in portfolio construction [9]. Index Enhancement Strategies - The report details the performance of enhanced index strategies based on deep learning alpha signals, with annualized returns reported as follows: - CSI 300 enhanced portfolio: 18.2% annualized return, 14.2% excess return over the index [3][5.1]. - CSI 500 enhanced portfolio: 22.4% annualized return, 17.2% excess return over the index [3][5.2]. - CSI 1000 enhanced portfolio: 29.8% annualized return, 24.5% excess return over the index [3][5.3].