Quantitative Models and Construction Methods 1. Model Name: DTW Timing Model - **Model Construction Idea**: The DTW timing model is based on a similarity approach, analyzing the similarity between current index trends and historical trends. It selects historical segments with high similarity as references and calculates the weighted average future returns and standard deviations of these segments to generate trading signals [20][22]. - **Model Construction Process**: 1. Use the DTW (Dynamic Time Warping) distance algorithm instead of Euclidean distance to measure similarity, as DTW is better suited for time series problems by addressing sequence misalignment issues [22]. 2. Calculate the weighted average future returns and standard deviations of selected historical segments, where weights are the inverse of the DTW distance [20]. 3. Generate trading signals based on the average future returns and standard deviations [20]. 4. To address the "pathological matching" issue in traditional DTW algorithms, improved DTW algorithms with boundary constraints (e.g., Sakoe-Chiba and Itakura Parallelogram) are applied [24][26][28]. - **Model Evaluation**: The DTW timing model demonstrates stable excess returns in general market conditions but may underperform during periods of sudden macroeconomic policy changes [9]. 2. Model Name: Foreign Capital Timing Model - **Model Construction Idea**: This model leverages information embedded in the price movements of two offshore assets related to A-shares: FTSE China A50 Index Futures (Singapore market) and the Southbound A50 ETF (Hong Kong market) [30]. - **Model Construction Process**: 1. Construct two indicators using FTSE China A50 Index Futures: basis and price divergence [30]. 2. Construct a price divergence indicator using the Southbound A50 ETF [30]. 3. Combine the timing signals from the two assets to form the foreign capital timing signal [30]. - **Model Evaluation**: The model achieves strong performance, with annualized returns of 18.96% (long-short strategy) and 14.19% (long-only strategy) over the full sample period (2014-2024). It also exhibits a high win rate (close to 55%) and a profit-loss ratio exceeding 2.5 [13]. --- Model Backtesting Results 1. DTW Timing Model - **Absolute Return**: 35.52% since November 2022 [9] - **Excess Return (relative to CSI 300)**: 8.60% [9] - **Maximum Drawdown**: 21.32% [9] 2. Foreign Capital Timing Model - **Annualized Return (Long-Short Strategy)**: 18.96% (2014-2024) [13] - **Annualized Return (Long-Only Strategy)**: 14.19% (2014-2024) [13] - **Maximum Drawdown**: 25.69% (Long-Short), 17.27% (Long-Only) [13] - **Win Rate**: Close to 55% [13] - **Profit-Loss Ratio**: Exceeds 2.5 [13] - **Absolute Return (2024)**: 31.33% (Long-Only Strategy) [17] - **Maximum Drawdown (2024)**: 8.23% [17] --- Quantitative Factors and Construction Methods 1. Factor Name: DTW Distance - **Factor Construction Idea**: DTW distance is used as a similarity measure for time series, addressing sequence misalignment issues that arise with traditional Euclidean distance [22]. - **Factor Construction Process**: 1. Compute the DTW distance between the current index trend and historical trends [22]. 2. Use the inverse of the DTW distance as weights to calculate the weighted average future returns and standard deviations of historical segments [20]. 3. Generate trading signals based on these weighted averages [20]. - **Factor Evaluation**: DTW distance is more effective for time series problems compared to Euclidean distance, as it resolves sequence misalignment and improves model performance [22]. 2. Factor Name: Basis and Price Divergence (Foreign Capital Timing Model) - **Factor Construction Idea**: These factors are derived from offshore assets to capture information about A-share market trends [30]. - **Factor Construction Process**: 1. Calculate the basis and price divergence indicators using FTSE China A50 Index Futures [30]. 2. Calculate the price divergence indicator using the Southbound A50 ETF [30]. 3. Combine these indicators to form the foreign capital timing signal [30]. - **Factor Evaluation**: These factors effectively capture offshore market signals and contribute to the strong performance of the foreign capital timing model [13]. --- Factor Backtesting Results 1. DTW Distance - **Absolute Return**: 35.52% since November 2022 [9] - **Excess Return (relative to CSI 300)**: 8.60% [9] - **Maximum Drawdown**: 21.32% [9] 2. Basis and Price Divergence - **Annualized Return (Long-Short Strategy)**: 18.96% (2014-2024) [13] - **Annualized Return (Long-Only Strategy)**: 14.19% (2014-2024) [13] - **Maximum Drawdown**: 25.69% (Long-Short), 17.27% (Long-Only) [13] - **Win Rate**: Close to 55% [13] - **Profit-Loss Ratio**: Exceeds 2.5 [13] - **Absolute Return (2024)**: 31.33% (Long-Only Strategy) [17] - **Maximum Drawdown (2024)**: 8.23% [17]

Core Viewpoint - The article discusses the significance of stock index futures, particularly the FTSE China A50 index futures, as a tool for risk hedging and enhancing returns in investment strategies. It highlights their role in market predictions and the advantages they offer over traditional stock markets. Group 1: Characteristics and Advantages of Stock Index Futures - Stock index futures provide faster market expectation reflection due to T+0, two-way trading, and leverage mechanisms, often adjusting strategies based on night market performance [5][12] - They offer certainty in arbitrage opportunities, as seen in 2021 when the CSI 300 futures had a basis of over 30 points, leading to significant profits for institutional investors [5][14] - The diversity of arbitrage opportunities arises from price differences between various products, exemplified by the "large and small cap style switch" that yielded substantial excess returns [5][13] Group 2: Practical Applications for Investors - Investors can use small positions in index futures to hedge risks during market corrections while maintaining their stock holdings [6][14] - Larger investors can engage in arbitrage operations to achieve stable returns and balance portfolio risks [6][14] - The article emphasizes the need for investors to understand the trading strategies and arbitrage logic of stock index futures to optimize their investment approaches [6][16] Group 3: Educational Initiatives - An upcoming masterclass titled "Practical Trading Training for Stock Index Futures" is organized to help investors grasp the trading mindset and strategies associated with stock index futures [6][16] - The course will feature experienced instructors from New Lake Futures, providing insights into practical trading techniques and risk management [6][18][21]

- The DTW timing model is based on the principle of similarity and the DTW (Dynamic Time Warping) algorithm, which is a volume-price timing model[1][4][14] - The foreign capital timing model is constructed based on the divergence between foreign and domestic related assets, using four indicators reflecting foreign capital movements to generate timing signals for the A-share market[1][4][14] - The DTW timing model has shown an absolute return of 17.39% and an excess return of 17.83% relative to the CSI 300 since November 2022, with a maximum drawdown of 21.32% and a weekly win rate of over 60%[4][16] - The foreign capital timing model's long strategy has achieved an absolute return of 28.83% since 2024, with a maximum drawdown of 8.32%[4][23] - The DTW timing model uses the DTW distance algorithm instead of the Euclidean distance to measure similarity, as the DTW distance can better handle the misalignment of time series[29][30] - The DTW timing model has been improved by incorporating boundary constraints proposed by Sakoe-Chiba and Itakura to address the "pathological matching" problem of the traditional DTW algorithm[31][32][37] - The foreign capital timing strategy is based on two overseas listed assets related to A-shares: FTSE China A50 Index Futures (Singapore market) and Southern A50ETF (Hong Kong market), constructing timing signals through price divergence and premium/discount indicators[36][12] - The DTW timing model's performance in 2024 includes an absolute return of 15.68%, an excess return of 4.93%, a maximum drawdown of 21.36%, a trading win rate of 63.64%, and a profit-loss ratio of 2.64[18][19][20] - The foreign capital timing model's performance from December 30, 2014, to December 31, 2024, shows an annualized return of 18.96% (long-short) and 14.19% (long-only), with maximum drawdowns of 25.69% and 17.27%, respectively, and a daily win rate of nearly 55%[20][22][24]