这里分享自己生活(目前在南京)、科学技术(计算机软硬件)、哲学、游戏、股票投资、英语学习、亲密关系、养猫等一系列有的没得,欢迎大家订阅评论。
评论反馈: literaryno4@gmail.com

这里分享自己生活(目前在南京)、科学技术(计算机软硬件)、哲学、游戏、股票投资、英语学习、亲密关系、养猫等一系列有的没得,欢迎大家订阅评论。 评论反馈: literaryno4@gmail.com
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3/19/2024
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October 19, 2025
<p>投资美股应该是有原则并且坚持原则的,不然肯定会被消息和情绪所淹没。根据目前美股投资经验,我总结出以下投资原则:</p><p>1. **对美股市场保持信仰**。一切的基础,美股市场不可能完全崩溃,长期一定是向好的。如果哪天不这么认为,那说明是时候离场了;</p><p>2. **分散投资**。投资的标的不能过余集中,投资的股票应该在10~20只左右;投资的行业也不能只集中于某单个行业,至少应包含三种行业;投资的比例也不能过余集中,每只股票占总资产比例原则上应该不高于10%,除非特别了解,但也绝不能超过20%。当然ETF和临时的货币基金、债券除外;</p><p>3. **从历史估值、未来增长潜力和自己对当前行业发展信心对公司估值**。历史估值和未来增长潜力都有明确的指标,可以明确一个合理的价格范围作为参考,然后将信心作为计划买入的必要不充分条件;</p><p>4. **再好的股票也应该在合理价之内买入,因为股市内里一定有更便宜的股票**。如果一个股票受众人追捧,但价格很高,这时应果断放弃,不要买入,不做股市的“舔狗”,一定会找到或等到更好的;</p><p>5. **保持耐心**。当一时半会找不到机会的时候,保持耐心,买入货币基金或债券吃点低收益也比盲目买入错误的股票好;</p><p>6. **发生骤变时,如果尚不清楚局势,什么都不做是最好的应对策略**;</p><p>7. **坚持左侧交易**。长期投资者偏向左侧交易,当股票下跌时往往是加仓的时机;</p><p>8. **股票急剧下跌时往往是巨大机会,应积极做出反应**。当市场发生较大系统风险,股价短时间急剧下跌时,人们往往会因恐惧看不清局势,这时候往往越先摆脱恐惧,做出行动的人,其最后收益越高;</p><p>9. **做好加仓计划**。当加仓机会到来时,比如正常波动、消息面利空、基本面利好、发生系统风险,应做好加仓计划,不能凭感觉加仓,避免提前耗光子弹,导致在更低价位无仓可加。应按照当前股票估值、技术面点位设定好目标价位,再根据目前已有仓位、现金或现金等价物储备情况设定好加仓数量。加仓时考虑的最低点位至少应该低于目前价格的20%;</p><p>10. **慎重减仓,优先长期主义**。当股票基本面良好的情况下,即便已经达到或高于合理估值,也不应该随意减仓,除非存在特别严重的高估;</p><p>11. **做好减仓计划**。当股票存在严重高估或基本面发生重大负面变化时,应该及时减仓。减仓时应该按照股票被高估程度做好减仓计划,越高估减仓的幅度应该越大;</p><p>12. **不要买服装相关股票**。服装相关的品牌没有护城河,人们不会因为自己以前穿过什么牌子衣服,未来就穿什么牌子衣服,也不会因为身边人穿了什么品牌自己就去买那个品牌(真实情况往往相反,因为怕撞衫或者想更具个性而去买其他品牌)。这也是为何服装品牌没有一个份额超过了1%。</p><p>原文链接:<a href="https://literaryno4.github.io/finance-principle.html/">我的美股投资原则</a></p><p>本期播客录制条件很差,自己也忘记怎么录制了😄,后续会有改善</p><p>声明:</p><p>本期节目分享内容仅个人观点,不构成任何投资建议</p>

April 14, 2024
<p>本期播客内容:</p><p>1. 为什么想要投资</p><p>2. 投资为什么选择美股</p><p>3. 如何投资美股</p><ul> <li>防御型投资常见策略介绍</li> <li>进攻型投资介绍</li></ul><p>4. 我自己投资策略及原则</p><p>5. 我的实盘分享</p><p>仅分享自己的投资思考,不构成任何投资建议,请大家批判性收听。</p>

March 24, 2024
<p>本期内容主要包括:</p><ul><li><p>09:20 AI(深度学习、chatGPT)工作原理介绍,小学生都能听懂那种</p></li><li><p>33:20 AI应用及局限</p></li><li><p>55:36 自己对AI的看法,为啥觉得AI是泡沫</p></li></ul><p>其实还有好多话题没讲到(例如AI相关投资)也没讲好,先这样了,有机会重录,欢迎大家评价讨论。</p><p>相关课程推荐:</p><ul><li><p>吴恩达《机器学习》:<a target="_blank" rel="noopener noreferrer nofollow" href="https://www.bilibili.com/video/BV1Pa411X76s/?vd_source=f75cf22c2ed9054927366905046f16a2">www.bilibili.com</a></p></li><li><p>CS231n:<a target="_blank" rel="noopener noreferrer nofollow" href="http://cs231n.stanford.edu/">cs231n.stanford.edu</a>(b站可以搜中文字幕视频)</p></li><li><p>What Are Transformer Models and How Do They Work?:<a target="_blank" rel="noopener noreferrer nofollow" href="https://txt.cohere.com/what-are-transformer-models">txt.cohere.com</a></p></li></ul><p>我常用的AI工具:</p><ul><li><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.phind.com/">www.phind.com</a></p></li><li><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://poe.com/">poe.com</a></p></li><li><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.anthropic.com/">www.anthropic.com</a>(有地区限制)</p></li></ul>
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这里分享自己生活(目前在南京)、科学技术(计算机软硬件)、哲学、游戏、股票投资、英语学习、亲密关系、养猫等一系列有的没得,欢迎大家订阅评论。
评论反馈: literaryno4@gmail.com
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