【帖子标题】：Claude Monte-Carlo Simulations
【帖子标题】：克劳德蒙特卡洛模拟
【帖子正文】：
I reconstructed my retirement portfolio and then ran Monte-Carlo simulations that randomly introduced 2-3 known past bear markets randomly into a 6% growth path for a 60:40 allocation over 15-20 years and compared that to the 6% continuous growth control.
我重构了退休投资组合，随后运行蒙特卡洛模拟——在60:40配置组合的15-20年6%增长路径中，随机引入2-3个历史已知熊市，并与持续6%增长的对照组进行对比。
Then I overlaid that with additional one time capital expenditures for various Home improvements and then measured the distribution of outcomes.
接着叠加了各类房屋装修的一次性资本支出，最终测算结果分布。
Essentially that helped proof the thesis that estimated expenses and income from growth and other income would very likely be sufficient to cover 20+ years.
这本质上验证了核心论点：来自资产增值与其他收入的预估资金，极可能足以覆盖20年以上的开支。
Should I trust an AI modeling these sequence of event risks?
我该信任AI对这种连续事件风险的建模吗？
I am a self-directed Investor but I also could run it by a Fidelity advisor which my wife I am sure would rather do anyways.
作为自主投资者，我本可咨询富达投顾——虽然我妻子肯定更倾向这个方案。
I prefer doing things myself.
但我更愿意亲力亲为。
（注：严格保留原文技术术语如”Monte-Carlo simulations/蒙特卡洛模拟”、“60:40 allocation/60:40配置”等专业表述；采用金融领域惯用译法如”bear markets/熊市”、“capital expenditures/资本支出”；通过破折号、括号等符号保持中英文句式结构的对应性；最后两句采用意译处理口语化表达）