Podcast thumbnail for 价投夹到头

价投夹到头

Claim This Podcast

by 价投夹到头

27 episodes
Updated Weekly
Accepts GuestsHas SponsorsLocation 🇨🇳

Podcast Overview

两个在互联网从业十余年,经历过几轮周期,喜欢看《凡人修仙传》,立志成为杨浦巴菲特的业余投资人。

Language

🇨🇳

Publishing Since

8/4/2024

1 verified contact email on file for 价投夹到头

Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.

Recent Episodes

Episode thumbnail for E26.失踪人口回归,还是少年!

May 20, 2026

E26.失踪人口回归,还是少年!

<p>本次播客复盘了AI行情下的市场分化,讨论了港股流动性困境与美股趋势策略的博弈,并对未来软件应用层的机会进行了前瞻性探讨。</p><p>一、市场复盘与持仓表现</p><p>针对过去半年的市场分化行情,两位嘉宾复盘了各自的持仓表现及操作逻辑:</p><p>1. Peter的持仓复盘</p><p>持仓结构:主要持有京东、美团、腾讯、泡泡玛特等老牌资产,同时配置了恒玄科技(可穿戴)、软银、高通、微软、亚马逊及台积电等AI相关标的,A股压仓底为紫金矿业和招商银行。</p><p>操作反思:虽然在电力股(如东方电气)上获得翻倍收益并已获利了结,但整体收益勉强为正。主要反思在于“买得不够多”,且在AI行情中过早卖出了芯片、科创等趋势性资产,反而补仓了下跌中的腾讯、美团等,导致未能充分享受牛市红利。</p><p>2. Kevin 的持仓复盘</p><p>冰火两重天:Kevin 的账户呈现出极致的撕裂感,港股持仓(如美团、心动、理想)持续亏损,而美股持仓(如光模块、存储)表现强劲。</p><p>趋势策略执行:承认对美股AI产业链(光、存、CPU)缺乏深度研究,但坚持“趋势派”打法,半仓配置在趋势上,只要图形未走坏即持有,避免了过早下车。</p><p>二、Tim:港股困境与流动性分析</p><p>Tim 深入探讨了港股持续下跌的底层逻辑及应对策略:</p><p>1. 流动性枯竭与宏观因素</p><p>流动性双杀:港股处于中美流动性夹缝中,外部美元流动性收紧,内部虽宽松但无法外溢,导致港股成为流动性洼地,资金持续流出。</p><p>宏观吸水效应:未来OpenAI、Sora等巨头上市将形成巨大的资金虹吸效应,进一步抽走港股的流动性。</p><p>2. 中概股的估值重构</p><p>消费属性压制:中概股底层逻辑仍是消费股,受国内社零数据及消费驱动影响,EPS增长乏力,难以与AI资产的成长性抗衡。</p><p>老登化趋势:中概股面临被AI迭代的风险,若无法转型,可能沦为类似商业地产的“老登”资产,虽有一定分红回购支撑,但成长性缺失。</p><p>三、投资策略与未来展望</p><p>面对极致的市场分化,嘉宾们提出了各自的应对方案及对未来的预判:</p><p>1. Peter的防守策略</p><p>现金为王:鉴于市场不确定性增加,计划将现金仓位提升至20%左右,以应对潜在的剧烈波动。</p><p>止盈止损机制:设定严格的交易纪律,任何股票从高点回撤20%即触发卖出信号,旨在保住胜利果实。</p><p>2. Kevin 的攻守道</p><p>知行合一:Kevin 提出“两个Kevin”理论,即白天做港股价值投资(长久期),晚上做美股趋势投资(墙头草)。他接受这种风格分裂,认为这是在不同市场环境下的最优解。</p><p>警惕韩国散户效应:对韩国散户全民炒股的现象表示警惕,认为这种全民狂欢往往是行情末期的信号,并预测韩国散户难以带走这波利润。</p><p>3. 软件与应用层的机会</p><p>软件的巨大潜力:Kevin 提出暴论,认为软件(应用层)将迎来巨大机会。以微信读书推出的 Skill 功能为例,预示着未来“硅基读、硅基喂给碳基”的生产关系变革。</p><p>新交互与新入口:Peter 认为当前硬件的上涨只是前奏,真正的伟大时代在于新的交互方式、生产关系和入口,应用层将捕获最大价值。</p><figure><img src="https://image.xyzcdn.net/Fpvx_IqdqqV4ULONfr3gQafBmrqr.png"></figure><p></p>

Episode thumbnail for E25.眼里有光,拥抱新周期

November 30, 2025

E25.眼里有光,拥抱新周期

<p>冯柳说要关注「新」,新方向、新价格、新幅度、新速率、新节奏、新成交量。</p><p>Peter,Tim,Kevin时隔两个月,主要的关注点不约而同聚焦到了「新」。</p><p>当世界发出了「新」信号,你能识别和捕捉吗?</p>

Episode thumbnail for 加更:胡猛北大演讲(转载)

November 17, 2025

加更:胡猛北大演讲(转载)

<p>最近Peter和Kevin比较忙,一直没凑上时间录播客。</p><p>市场刚好又在震荡调整,多看少动,保持定力。</p><p>怕大家等得焦急,加更一期胡猛的北大演讲,讲清楚了投机和投资的区别:</p><p>https://web.plaud.ai/share/88541763264393299</p><p>胡猛介绍:</p><p>胡猛是风和投资的创始合伙人兼首席投资官,一位拥有超过20年经验的市场老将。他的过人之处并非在于追逐市场热点,而是建立了一套极为严谨且系统化的投资方法论,这使他能够在充满不确定性的市场中持续获得稳定回报</p><p><br></p><h3>核心理念:追求确定性</h3><p>胡猛的投资哲学可以概括为“确定性优先”。他认为,投资成功的关键不在于预测市场波动,而在于识别并投资于那些能持续创造价值的企业</p><p><br></p><p>独创的分析框架</p><p>他将这一理念落地为一套名为“3C3D5M3T”的实用分析工具</p><ul> <li>3C:关注周期、变化和确定性。</li> <li>5M:分析目标市场、市场份额、利润率、商业模式和管理团队。<br>这套工具体系化地覆盖了从宏观到微观、从短期到长期的全方位分析,确保投资决策有章可循。<br></li></ul>

27 total episodes available

Recent guests on 价投夹到头

Guests from recent episodes — sign up to see every guest that has ever appeared on this show.

逸修1

Guest

Tim

Guest

Deep-dive analytics for 价投夹到头

Frequently asked questions

Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.

What is 价投夹到头?

两个在互联网从业十余年,经历过几轮周期,喜欢看《凡人修仙传》,立志成为杨浦巴菲特的业余投资人。

How often does this podcast release new episodes?

This podcast updates weekly.

Where can I listen to this podcast?

This podcast is available on 6 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

Does this podcast accept guests?

Yes, this podcast regularly features guests.

Legal Disclaimer

Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.

All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.

We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.

While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.

By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.