多维策略收获稳健收益
Qi Huo Ri Bao Wang·2025-11-24 05:16

Core Insights - The article highlights the success of a participant, Shi Zhihao, in the 19th National Futures (Options) Trading Competition, attributing his achievement to a multi-dimensional and systematic execution of quantitative strategies [1] Group 1: Strategy and Execution - Shi Zhihao emphasizes the importance of stable execution and risk control in his trading strategy, stating that there were no "brilliant" trades, but rather a consistent performance from the strategy combination [2] - The strategy involves diversified allocation across different products, cycles, and strategies to mitigate extreme risks associated with single strategies, especially in a volatile market [2] - The trading framework covers approximately 70 products without subjective selection, relying on a quantitative system for opportunity identification [2] Group 2: Experience and Adaptation - Shi Zhihao's journey into quantitative trading began in 2016, initially motivated by arbitrage opportunities in graded funds, leading to a discovery of the appeal of quantitative trading through backtesting [3] - He faced significant challenges from mid-2022 to early 2023, experiencing a prolonged drawdown that led him to question the effectiveness of quantitative strategies [3] - The crisis prompted him to develop a multi-strategy hedging system, focusing on risk budgeting and absolute risk value assessment, shifting his focus from maximizing returns to ensuring survival [3] Group 3: Philosophy and Future Plans - The trading philosophy centers on engaging in activities with positive expected value, emphasizing the importance of a solid logical foundation rather than predicting short-term market fluctuations [3] - Future plans include optimizing risk control and multi-asset allocation, such as reallocating futures profits into stocks and bonds to reduce market risk [4] - Shi Zhihao advises new traders to adopt a quantitative framework to counteract emotional weaknesses, starting with small positions and focusing on the robustness of strategy logic [4]