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牛市过去十年,总结的三大教训!
雪球·2025-07-18 08:41

Core Viewpoint - The article reflects on the lessons learned from the 2015 stock market crash in China, emphasizing the importance of risk management, market awareness, and the need for continuous learning in investment practices [4][5][6][7]. Group 1: Market Events and Historical Context - The article discusses the peak of the Chinese stock market at 5178 points on June 12, 2015, followed by a significant downturn where the Shanghai Composite Index fell by 35% and the ChiNext Index dropped by 43% within 17 trading days [4]. - It highlights the massive IPO activities that led to a freezing of 6.7 trillion yuan in funds, marking a new high since the IPO restart in 2014 [4]. - The article notes the extreme volatility in the market post-crash, with multiple instances of "千股涨停" (thousands of stocks hitting the daily limit up) and "千股跌停" (thousands of stocks hitting the daily limit down) [4]. Group 2: Investment Philosophy and Strategies - The article advises against leveraging and financing in capital markets, citing that such practices often lead to significant losses during market downturns [5]. - It emphasizes the need for investors to respect the market and acknowledge their limitations, suggesting that many enter the market with unrealistic expectations [6]. - Continuous learning and experience accumulation are crucial for investors, as the market's nature requires adaptability and awareness of changing conditions [7]. Group 3: Personal Reflections and Lessons - The author shares personal anecdotes of individuals who suffered significant losses due to over-leveraging and heavy positions during the 2015 crash, illustrating the psychological impact of such experiences [5][6]. - The article stresses the importance of reflecting on past mistakes and learning from them to avoid repeating them in future market cycles [7]. - It concludes with a call for investors to focus on improving their understanding of market dynamics and to be patient, waiting for favorable conditions to invest [7].