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立于不败而后求胜
Qi Huo Ri Bao Wang· 2025-11-11 23:15
Core Insights - The article highlights the success of Wang Zhini in the competitive futures trading market, emphasizing her unique trading philosophy of ensuring she remains "invincible" while navigating market complexities [1] Background and Experience - Wang Zhini comes from a financial family and initially faced significant losses in commodity futures trading, which led to a transformation in her trading system [2] - A pivotal change occurred in 2021 when she shifted her focus from commodity futures to stock index futures, benefiting from the real-time updates and historical data available for analysis [2] Trading Strategy and Philosophy - Wang Zhini's trading style is characterized by a focus on stock index futures, relying on pure technical analysis and favoring one-sided trades with daily wave operations [3] - She identifies that bear markets tend to be smoother due to passive declines, while bull markets require more careful navigation due to their inherent volatility [3] - Risk management is a cornerstone of her strategy, with an emphasis on strict stop-loss controls to mitigate potential losses [3] Emotional Management and Execution - Wang Zhini has developed a core trading philosophy that prioritizes remaining "invincible" before seeking profits, emphasizing the importance of recognizing identifiable opportunities [4] - She avoids emotional trading by not constantly monitoring the market, instead focusing on post-trade analysis to maintain a clear perspective on market trends [4] - Her understanding of human emotions in trading allows her to separate execution issues from technical problems, thereby minimizing emotional interference [4] Market Understanding and Adaptability - Wang Zhini believes that market prices are the result of competitive dynamics and that higher participation levels enhance the significance of support and resistance levels [4] - She asserts that market predictions are not feasible; instead, traders should adapt to ongoing market changes through continuous analysis of price movements [4]