<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="3.10.0">Jekyll</generator><link href="https://philip-zeng.github.io/feed.xml" rel="self" type="application/atom+xml" /><link href="https://philip-zeng.github.io/" rel="alternate" type="text/html" /><updated>2026-02-04T07:58:35+00:00</updated><id>https://philip-zeng.github.io/feed.xml</id><title type="html">Philip’s Blog</title><subtitle>The bloger will share his life experience and thinkings
</subtitle><author><name>Philip ZENG</name></author><entry xml:lang="en"><title type="html">AI Insight Report</title><link href="https://philip-zeng.github.io/2025/06/17/aireport.html" rel="alternate" type="text/html" title="AI Insight Report" /><published>2025-06-17T00:00:00+00:00</published><updated>2025-06-17T00:00:00+00:00</updated><id>https://philip-zeng.github.io/2025/06/17/aireport</id><content type="html" xml:base="https://philip-zeng.github.io/2025/06/17/aireport.html"><![CDATA[<p>This report provides a comprehensive analysis of the current state and future trends of artificial intelligence (AI) technology and its applications in various industries (with special focus in robotics and agents). It covers both technological advancements and business strategies, offering insights for stakeholders in the AI ecosystem.</p>

<h2 id="table-of-contents">Table of Contents</h2>

<ul>
  <li><a href="/report/aireport/chapt_1.html">1. AI Technology</a>
    <ul>
      <li><a href="/report/aireport/chapt_1/sec_1.html">1.1 AI Technology Development Review</a></li>
      <li><a href="/report/aireport/chapt_1/sec_2.html">1.2 Macroscopic Trends in AI Technology Development</a></li>
      <li><a href="/report/aireport/chapt_1/sec_3.html">1.3 Microscopic Trends in AI Technology Development</a></li>
      <li><a href="/report/aireport/chapt_1/sec_4.html">1.4 How to Evaluate AI Product Performance</a></li>
    </ul>
  </li>
  <li><a href="/report/aireport/chapt_2.html">2. AI Products and Business</a>
    <ul>
      <li><a href="/report/aireport/chapt_2/sec_1.html">2.1 AI Industry Chain</a></li>
      <li><a href="/report/aireport/chapt_2/sec_2.html">2.2 AI Business Strategies</a></li>
      <li><a href="/report/aireport/chapt_2/sec_3.html">2.3 Impact of Macroeconomic Environment on AI Business Development</a></li>
      <li><a href="/report/aireport/chapt_2/sec_4.html">2.4 Development Models of AI Startups in the United States</a></li>
    </ul>
  </li>
  <li><a href="/report/aireport/appendix.html">Appendix</a></li>
</ul>]]></content><author><name>Philip ZENG</name></author><summary type="html"><![CDATA[This report provides a comprehensive analysis of the current state and future trends of artificial intelligence (AI) technology and its applications in various industries (with special focus in robotics and agents). It covers both technological advancements and business strategies, offering insights for stakeholders in the AI ecosystem.]]></summary></entry><entry xml:lang="zh"><title type="html">AI洞察报告</title><link href="https://philip-zeng.github.io/zh/2025/06/17/aireport.html" rel="alternate" type="text/html" title="AI洞察报告" /><published>2025-06-17T00:00:00+00:00</published><updated>2025-06-17T00:00:00+00:00</updated><id>https://philip-zeng.github.io/zh/2025/06/17/aireport.zh</id><content type="html" xml:base="https://philip-zeng.github.io/zh/2025/06/17/aireport.html"><![CDATA[<p>本报告全面分析了人工智能（AI）技术的现状与未来趋势，及其在各行各业的应用（特别是在机器人技术和智能体领域的应用）。报告内容涵盖技术进步与商业策略，旨在为人工智能产业的投资者提供深刻洞见。</p>

<h2 id="table-of-contents">Table of Contents</h2>

<ul>
  <li><a href="/zh/report/aireport/chapt_1.html">1. AI科技</a>
    <ul>
      <li><a href="/report/aireport/chapt_1/sec_1.html">1.1 AI技术发展回顾</a></li>
      <li><a href="/report/aireport/chapt_1/sec_2.html">1.2 宏观层面的AI技术发展趋势</a></li>
      <li><a href="/report/aireport/chapt_1/sec_3.html">1.3 微观层面的AI技术发展趋势</a></li>
      <li><a href="/report/aireport/chapt_1/sec_4.html">1.4 如何评判AI产品的表现</a></li>
    </ul>
  </li>
  <li><a href="/zh/report/aireport/chapt_2.html">2. AI产品与商业</a>
    <ul>
      <li><a href="/report/aireport/chapt_2/sec_1.html">2.1 AI产业链</a></li>
      <li><a href="/report/aireport/chapt_2/sec_2.html">2.2 AI商业策略</a></li>
      <li><a href="/report/aireport/chapt_2/sec_3.html">2.3 宏观环境对AI商业发展的影响</a></li>
      <li><a href="/report/aireport/chapt_2/sec_4.html">2.4 美国的AI创业企业发展模式</a></li>
    </ul>
  </li>
  <li><a href="/zh/report/aireport/appendix.html">附录</a></li>
</ul>]]></content><author><name>Philip ZENG</name></author><summary type="html"><![CDATA[本报告全面分析了人工智能（AI）技术的现状与未来趋势，及其在各行各业的应用（特别是在机器人技术和智能体领域的应用）。报告内容涵盖技术进步与商业策略，旨在为人工智能产业的投资者提供深刻洞见。]]></summary></entry><entry xml:lang="en"><title type="html">Crypto Insight Report</title><link href="https://philip-zeng.github.io/2025/06/16/crypto.html" rel="alternate" type="text/html" title="Crypto Insight Report" /><published>2025-06-16T00:00:00+00:00</published><updated>2025-06-16T00:00:00+00:00</updated><id>https://philip-zeng.github.io/2025/06/16/crypto</id><content type="html" xml:base="https://philip-zeng.github.io/2025/06/16/crypto.html"><![CDATA[<p>This report provides an in-depth analysis of the evolution of blockchain technology, covering its three major phases: Blockchain 1.0 (Bitcoin), Blockchain 2.0 (Ethereum), and Blockchain 3.0. It also explores decentralized exchanges and prediction markets, highlighting their significance in the crypto ecosystem.</p>

<h2 id="table-of-contents">Table of Contents</h2>

<ul>
  <li><a href="/report/crypto/chapt_1.html">1. Blockchain 1.0 - Bitcoin</a></li>
  <li><a href="/report/crypto/chapt_2.html">2. Blockchain 2.0 - Ethereum</a></li>
  <li><a href="/report/crypto/chapt_3.html">3. Blockchain 3.0</a></li>
  <li><a href="/report/crypto/chapt_4.html">4. Decentralized Exchange</a></li>
  <li><a href="/report/crypto/chapt_5.html">5. Prediction Market</a></li>
  <li><a href="/report/crypto/chapt_6.html">6. Privacy Coin</a></li>
  <li><a href="/report/crypto/chapt_7.html">7. Stablecoin</a></li>
  <li><a href="/report/crypto/chapt_8.html">8. Real-World Asset Tokenization</a></li>
  <li><a href="/report/crypto/appendix.html">Learning Resources</a></li>
</ul>]]></content><author><name>Philip ZENG</name></author><summary type="html"><![CDATA[This report provides an in-depth analysis of the evolution of blockchain technology, covering its three major phases: Blockchain 1.0 (Bitcoin), Blockchain 2.0 (Ethereum), and Blockchain 3.0. It also explores decentralized exchanges and prediction markets, highlighting their significance in the crypto ecosystem.]]></summary></entry><entry xml:lang="zh"><title type="html">加密货币与区块链技术报告</title><link href="https://philip-zeng.github.io/zh/2025/06/16/crypto.html" rel="alternate" type="text/html" title="加密货币与区块链技术报告" /><published>2025-06-16T00:00:00+00:00</published><updated>2025-06-16T00:00:00+00:00</updated><id>https://philip-zeng.github.io/zh/2025/06/16/crypto.zh</id><content type="html" xml:base="https://philip-zeng.github.io/zh/2025/06/16/crypto.html"><![CDATA[<p>本报告深入分析了区块链技术的演变，涵盖其三个主要阶段：区块链1.0（比特币）、区块链2.0（以太坊）及区块链3.0。报告亦探讨了去中心化交易所与预测市场，并突显了它们在加密生态系统中的重要意义。</p>

<h2 id="table-of-contents">Table of Contents</h2>

<ul>
  <li><a href="/report/crypto/chapt_1.html">1. 区块链 1.0 - 比特币</a></li>
  <li><a href="/report/crypto/chapt_2.html">2. 区块链 2.0 - 以太坊</a></li>
  <li><a href="/report/crypto/chapt_3.html">3. 区块链 3.0</a></li>
  <li><a href="/report/crypto/chapt_4.html">4. 去中心化交易所</a></li>
  <li><a href="/report/crypto/chapt_5.html">5. 预测市场</a></li>
  <li><a href="/report/crypto/chapt_6.html">6. 隐私币</a></li>
  <li><a href="/report/crypto/chapt_7.html">7. 稳定币</a></li>
  <li><a href="/report/crypto/chapt_8.html">8. 现实世界资产代币化 RWA</a></li>
  <li><a href="/report/crypto/appendix.html">学习资源</a></li>
</ul>]]></content><author><name>Philip ZENG</name></author><summary type="html"><![CDATA[本报告深入分析了区块链技术的演变，涵盖其三个主要阶段：区块链1.0（比特币）、区块链2.0（以太坊）及区块链3.0。报告亦探讨了去中心化交易所与预测市场，并突显了它们在加密生态系统中的重要意义。]]></summary></entry><entry xml:lang="en"><title type="html">Venture Capital Observations</title><link href="https://philip-zeng.github.io/2025/06/15/vc.html" rel="alternate" type="text/html" title="Venture Capital Observations" /><published>2025-06-15T00:00:00+00:00</published><updated>2025-06-15T00:00:00+00:00</updated><id>https://philip-zeng.github.io/2025/06/15/vc</id><content type="html" xml:base="https://philip-zeng.github.io/2025/06/15/vc.html"><![CDATA[<p>This report delves into the venture capital (VC) industry, examining the business models of VC firms and providing insights into investment strategies and trends. Insights are drawn from panel discussions, podcasts, and articles by leading VC experts.</p>

<h2 id="table-of-contents">Table of Contents</h2>

<ul>
  <li><a href="/report/vc/chapt_1.html">1. VC Ecosystem &amp; Business Model</a></li>
  <li><a href="/report/vc/chapt_2.html">2. VC Investment Insights</a></li>
  <li><a href="/report/vc/chapt_3.html">3. VC and Investor Story</a></li>
  <li><a href="/report/vc/chapt_4.html">4. Top VC’s Portfolio Analysis</a></li>
</ul>]]></content><author><name>Philip ZENG</name></author><summary type="html"><![CDATA[This report delves into the venture capital (VC) industry, examining the business models of VC firms and providing insights into investment strategies and trends. Insights are drawn from panel discussions, podcasts, and articles by leading VC experts.]]></summary></entry><entry xml:lang="zh"><title type="html">风险投资人报告</title><link href="https://philip-zeng.github.io/zh/2025/06/15/vc.html" rel="alternate" type="text/html" title="风险投资人报告" /><published>2025-06-15T00:00:00+00:00</published><updated>2025-06-15T00:00:00+00:00</updated><id>https://philip-zeng.github.io/zh/2025/06/15/vc.zh</id><content type="html" xml:base="https://philip-zeng.github.io/zh/2025/06/15/vc.html"><![CDATA[<p>本报告深入探讨了风险投资（VC）行业的商业模式，并就投资策略与趋势提供了洞见。报告中的见解汲取自顶尖风投专家的专题讨论会、播客及相关文章。
此外，一个值得探究的问题是，在信息不对称性已经高度削减的当下，VC行业经历了什么样的变化。</p>

<h2 id="table-of-contents">Table of Contents</h2>

<ul>
  <li><a href="/report/vc/chapt_1.html">1. VC生态与商业模式</a></li>
  <li><a href="/report/vc/chapt_2.html">2. VC投资观点</a></li>
  <li><a href="/report/vc/chapt_3.html">3. VC投资机构与投资人背景故事</a></li>
  <li><a href="/report/vc/chapt_4.html">4. 头部VC的投资组合分析</a></li>
</ul>]]></content><author><name>Philip ZENG</name></author><summary type="html"><![CDATA[本报告深入探讨了风险投资（VC）行业的商业模式，并就投资策略与趋势提供了洞见。报告中的见解汲取自顶尖风投专家的专题讨论会、播客及相关文章。 此外，一个值得探究的问题是，在信息不对称性已经高度削减的当下，VC行业经历了什么样的变化。]]></summary></entry><entry xml:lang="en"><title type="html">Startup Pitches</title><link href="https://philip-zeng.github.io/2025/06/14/startups.html" rel="alternate" type="text/html" title="Startup Pitches" /><published>2025-06-14T00:00:00+00:00</published><updated>2025-06-14T00:00:00+00:00</updated><id>https://philip-zeng.github.io/2025/06/14/startup_pitch</id><content type="html" xml:base="https://philip-zeng.github.io/2025/06/14/startups.html"><![CDATA[<p>Sharing interesting startup projects and investment opportunities recently seen, summarizing questions worth asking when analyzing projects, and drafting investment highlights and narrative logic.</p>

<h2 id="cyncratik-ai-powered-call-agents">Cyncratik: AI Powered Call Agents</h2>
<ul>
  <li>Source: Trojan Tank</li>
  <li>Service calls challenges
    <ul>
      <li>High turn around rate</li>
      <li>Do not have dedicated engineer to build and maintain call agents</li>
    </ul>
  </li>
  <li>Target Customers
    <ul>
      <li>Small businesses</li>
      <li>No paying customer yet, partnered and tested with flowershops in Seattle</li>
      <li>Use cases: Clinics (in LA), Housing management, Sales outreach</li>
      <li>Clinic have many patient calls</li>
    </ul>
  </li>
  <li>Voice Solution
    <ul>
      <li>Appointment booking automation</li>
      <li>Calendar, CRM integration (10 days)</li>
      <li>Customized training for each client (2 days)</li>
      <li>Describe agent characteristics, provide guardrails to set up the agent</li>
    </ul>
  </li>
</ul>

<h2 id="twin-memory-help-people-slow-down-cognitive-decline">Twin Memory: Help People Slow Down Cognitive Decline</h2>
<ul>
  <li>Source: Trojan Tank</li>
  <li>Target audience: People with mild cognitive decline, cognitive impairment, alzheimers</li>
  <li>Challenges
    <ul>
      <li>Expensive to check for cognitive decline regularly</li>
    </ul>
  </li>
  <li>Advantages
    <ul>
      <li>Slow down the process from mild cognitive decline to alzheimers</li>
    </ul>
  </li>
  <li>Market Validation
    <ul>
      <li>Interviewed 25+ patients who suffer from mild cognitive decline</li>
    </ul>
  </li>
  <li>Business model
    <ul>
      <li>Pricing strategy
        <ul>
          <li>Individuals Subscription: $20/70 per month per patient</li>
          <li>Partnerships: Licensing fees</li>
        </ul>
      </li>
    </ul>
  </li>
  <li>Solution
    <ul>
      <li>Licensing
        <ul>
          <li>Allow clinics to run their model in the clinics’ own system so that data never leaves the clinic</li>
        </ul>
      </li>
      <li>Data
        <ul>
          <li>Record multi-modal data: voice, video, text of patient</li>
          <li>Collect sensor data</li>
          <li>User can talk to the device daily, record responses</li>
          <li>From the interactions, rate cognitive state</li>
          <li>Ask 20-30 questions to set up initial personalized database</li>
        </ul>
      </li>
    </ul>
  </li>
</ul>

<h2 id="uizo-social-marketplace-for-local-discovery">Uizo: Social Marketplace for Local Discovery</h2>
<ul>
  <li>Source: Trojan Tank</li>
  <li>Problems
    <ul>
      <li>Google, Yelp have fake reviews</li>
      <li>Social media is not structured, trust is missing</li>
      <li>Small businesses struggle to get discovered</li>
    </ul>
  </li>
  <li>Chances
    <ul>
      <li>Small businesses are investing more in local ads</li>
      <li>Talked to small business owners to ask how they get customers, most say word of mouth</li>
    </ul>
  </li>
  <li>Solution
    <ul>
      <li>Content creator get incentives to create local content</li>
      <li>AI feed discovery</li>
      <li>Users can transact and book directly from the app</li>
    </ul>
  </li>
  <li>Agentic e-commerce
    <ul>
      <li>How it will fit in when agents can browse the web and make purchases on behalf of users</li>
    </ul>
  </li>
</ul>

<h2 id="aeroink-automobile-waste-collection">AeroInk: Automobile Waste Collection</h2>
<ul>
  <li>Source: Trojan Tank</li>
  <li>Solution
    <ul>
      <li>Collect waste from automobiles and use it to produce inks</li>
      <li>When the chamber is full, it can be replaced with a new one</li>
      <li>Patents in India</li>
      <li>Current vehicle waste collection methods are inefficient</li>
    </ul>
  </li>
  <li>Current Target market: Public transportation</li>
  <li>Future plans: Expand to factories</li>
  <li>Cost: $100 per chamber</li>
</ul>

<h2 id="rumo-college-application-process-automation">Rumo: College Application Process Automation</h2>
<ul>
  <li>Source: Trojan Tank</li>
  <li>Challenges
    <ul>
      <li>Interview: Brazilian students face challenges applying to US colleges</li>
      <li>Need to pay college application consulting fee, very expensive</li>
    </ul>
  </li>
  <li>Solution
    <ul>
      <li>Questionnaire to understand student profile</li>
      <li>College search: auto retrieve all deadline</li>
      <li>Custom timeline with AI milestones</li>
      <li>Auto-imported prompt + version control</li>
      <li>Streamline platform</li>
    </ul>
  </li>
  <li>Business model
    <ul>
      <li>$10-15 per month subscription</li>
      <li>Sell to school and application consultants: $5 per student per month</li>
      <li>In testing phase, no paying customers</li>
    </ul>
  </li>
  <li>Target customers
    <ul>
      <li>10-11 grade high school students</li>
      <li>International students</li>
    </ul>
  </li>
  <li>Fragmented market challenge
    <ul>
      <li>How to acquire new users and scale</li>
      <li>Customer acquisition cost: cooperate with school consultants, so they bring in students</li>
    </ul>
  </li>
  <li>Customer retention
    <ul>
      <li>May want to keep customers engaged after they are accepted to colleges</li>
    </ul>
  </li>
</ul>

<h2 id="project-blue-visual-ai-copilot">Project Blue: Visual AI Copilot</h2>
<ul>
  <li>Source: Trojan Tank</li>
  <li>Problems
    <ul>
      <li>Workforce shortage in technician field</li>
    </ul>
  </li>
  <li>Solution
    <ul>
      <li>Stores video and label it</li>
      <li>When technician ask question, it provides video to guide them</li>
      <li>Allow new technician to work with on the same level of efficiency as experienced ones</li>
      <li>Intelligent video retrieval system</li>
    </ul>
  </li>
  <li>Advantages
    <ul>
      <li>Youtube has many unstructured videos</li>
      <li>No much coverage on electrician/technician work</li>
    </ul>
  </li>
  <li>Business model
    <ul>
      <li>Subscription based</li>
    </ul>
  </li>
  <li>Target customers
    <ul>
      <li>Electricians</li>
    </ul>
  </li>
  <li>Data
    <ul>
      <li>20 videos collected from 2 technicians and youtube</li>
      <li>Partnered with producers to provide product installation videos</li>
      <li>NEC compliant videos</li>
    </ul>
  </li>
  <li>Go to market
    <ul>
      <li>Start with small businesses or indiviual contractors, new technicians</li>
    </ul>
  </li>
</ul>

<h2 id="tummi-gut-tracker-in-water-bottle">Tummi: Gut Tracker in Water Bottle</h2>
<ul>
  <li>Source: Trojan Tank</li>
  <li>Solution
    <ul>
      <li>Personalized gut health tracker</li>
      <li>Give personalized recommendations based on gut health</li>
      <li>Hospital &amp; bottle test gases: hydrogen, methane</li>
    </ul>
  </li>
  <li>Client
    <ul>
      <li>100+ waitlist</li>
    </ul>
  </li>
  <li>Target segment
    <ul>
      <li>People with IBS</li>
      <li>Fitness market</li>
    </ul>
  </li>
</ul>

<h2 id="puraskin-water-softer-for-healthier-skin">PuraSkin: Water Softer for Healthier Skin</h2>
<ul>
  <li>Source: Trojan Tank</li>
  <li>Problems
    <ul>
      <li>Hard water is bad for skin, and is across US</li>
    </ul>
  </li>
  <li>Solution
    <ul>
      <li>Replace the filter every 7 days</li>
    </ul>
  </li>
  <li>Target market
    <ul>
      <li>Rental households</li>
      <li>Younger population</li>
    </ul>
  </li>
  <li>Go to Market
    <ul>
      <li>Korean skincare product level effectiveness</li>
    </ul>
  </li>
  <li>Price point
    <ul>
      <li>$250-300 per unit</li>
      <li>Cost is $60-120</li>
    </ul>
  </li>
</ul>

<h2 id="zorro-mobility-personal-urban-air-vehicle-with-zero-emissions">Zorro Mobility: Personal Urban Air Vehicle with Zero Emissions</h2>
<ul>
  <li>Source: Trojan Tank</li>
  <li>Challenges
    <ul>
      <li>EVTOL: 100K+ per piece, too expensive for personal use</li>
    </ul>
  </li>
  <li>Solution
    <ul>
      <li>1/4 price of existing solution</li>
      <li>Not propeller based</li>
      <li>Vibrational motors</li>
    </ul>
  </li>
</ul>]]></content><author><name>Philip ZENG</name></author><summary type="html"><![CDATA[Sharing interesting startup projects and investment opportunities recently seen, summarizing questions worth asking when analyzing projects, and drafting investment highlights and narrative logic.]]></summary></entry><entry xml:lang="en"><title type="html">Nasdaq Stock Exchange</title><link href="https://philip-zeng.github.io/2025/06/13/nasdaq.html" rel="alternate" type="text/html" title="Nasdaq Stock Exchange" /><published>2025-06-13T00:00:00+00:00</published><updated>2025-06-13T00:00:00+00:00</updated><id>https://philip-zeng.github.io/2025/06/13/nasdaq</id><content type="html" xml:base="https://philip-zeng.github.io/2025/06/13/nasdaq.html"><![CDATA[<p>A good question to start is: Why is the Magnificent Seven (Apple, Microsoft, Alphabet, Amazon, Nvidia, Meta, Tesla) all listed in Nasdaq but not other stock exchange in the US? What mechanism makes it so special?</p>]]></content><author><name>Philip ZENG</name></author><summary type="html"><![CDATA[A good question to start is: Why is the Magnificent Seven (Apple, Microsoft, Alphabet, Amazon, Nvidia, Meta, Tesla) all listed in Nasdaq but not other stock exchange in the US? What mechanism makes it so special?]]></summary></entry><entry xml:lang="en"><title type="html">Startup Ecosystem</title><link href="https://philip-zeng.github.io/2025/06/12/startup_ecosystem.html" rel="alternate" type="text/html" title="Startup Ecosystem" /><published>2025-06-12T00:00:00+00:00</published><updated>2025-06-12T00:00:00+00:00</updated><id>https://philip-zeng.github.io/2025/06/12/startup_ecosystem</id><content type="html" xml:base="https://philip-zeng.github.io/2025/06/12/startup_ecosystem.html"><![CDATA[<p>What makes sillicon valley’s startup ecosystem special can be seen from how people ask questions when you first meet them, they ask “What do you build?” instead of “What position, company, school you come from?”. If we attend a hackathon in sillicon valley, we will soon get a taste of such building atmosphere and feel the urge to build something to join their “cosplay” and conversation.</p>]]></content><author><name>Philip ZENG</name></author><summary type="html"><![CDATA[What makes sillicon valley’s startup ecosystem special can be seen from how people ask questions when you first meet them, they ask “What do you build?” instead of “What position, company, school you come from?”. If we attend a hackathon in sillicon valley, we will soon get a taste of such building atmosphere and feel the urge to build something to join their “cosplay” and conversation.]]></summary></entry><entry xml:lang="en"><title type="html">Trading and Asset Management</title><link href="https://philip-zeng.github.io/2025/06/10/trading.html" rel="alternate" type="text/html" title="Trading and Asset Management" /><published>2025-06-10T00:00:00+00:00</published><updated>2025-06-10T00:00:00+00:00</updated><id>https://philip-zeng.github.io/2025/06/10/trading</id><content type="html" xml:base="https://philip-zeng.github.io/2025/06/10/trading.html"><![CDATA[<p>This report explores various aspects of trading, including asset management, valuation techniques, positioning and risk control strategies, and the impact of macroeconomic factors on trading decisions. It serves as a record of the author’s personal study and reflections on trading.</p>

<h2 id="table-of-contents">Table of Contents</h2>

<ul>
  <li><a href="/report/trading/chapt_1.html">1. Asset Management</a></li>
  <li><a href="/report/trading/chapt_2.html">2. Valuation</a></li>
  <li><a href="/report/trading/chapt_3.html">3. Positioning and Risk Control</a></li>
  <li><a href="/report/trading/chapt_4.html">4. Macroeconomic Impact</a></li>
  <li><a href="/report/trading/chapt_5.html">5. Alternative Investments</a></li>
</ul>]]></content><author><name>Philip ZENG</name></author><summary type="html"><![CDATA[This report explores various aspects of trading, including asset management, valuation techniques, positioning and risk control strategies, and the impact of macroeconomic factors on trading decisions. It serves as a record of the author’s personal study and reflections on trading.]]></summary></entry></feed>