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国旗下演讲丨量化交易和黄金圈理论

04-16 10:47发布于广东

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Hosts

沈钊名 Ernest / 蔺闻然 Jeremy Lin 



国旗下演讲

Speech Under the National Flag




学生代表

Student Representative




A2 ·.  李文瀚 Carson






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Quantitative Trading


Today, I’d like to discuss a transformative force in modern finance: quantitative trading. In an era where data dominates decision-making, quantitative trading has reshaped how markets operate—replacing human intuition with algorithms, statistical models, and automation.


The Rise of Quantitative Trading

Quantitative trading utilizes mathematical models to identify profitable opportunities. By analyzing historical data, market trends, and real-time indicators (such as price movements or news sentiment), algorithms execute trades with precision and speed unmatched by human traders. This approach has become dominant in hedge funds, investment banks, and even cryptocurrency markets.


Key Strategies

Let’s explore some common techniques:

1. Statistical Arbitrage: Exploiting price differences between correlated assets (e.g., pairs trading).

2. Trend-Following: Algorithms capitalize on momentum, buying rising assets and shorting falling ones.

3. High-Frequency Trading (HFT): Profiting from microsecond price differences—dependent on speed and advanced infrastructure.

4. Machine Learning: AI models predict market movements by identifying hidden patterns within extensive datasets.


Advantages of Quantitative Trading

The advantages are clear:

Emotion-Free Execution: Eliminates fear and greed by relying purely on calculated logic.

Scalability: A single algorithm can efficiently manage billions of dollars across global markets.

Adaptability: Models continuously evolve with new data, maintaining an edge over traditional    investment strategies.


Risks and Challenges

However, quantitative trading is not without risks:

Overfitting: A model might perform exceptionally well on historical data but fail under live market conditions.

Black Swan Events: Sudden market crashes or geopolitical shocks can break historical patterns.

Increased Competition: As more firms adopt quantitative strategies, profit margins can decrease significantly.


The Future of Quantitative Trading

Quantitative trading is undoubtedly here to stay. With advancements in artificial intelligence, quantum computing, and alternative data sources (such as satellite imagery and social media analytics), its influence will continue to grow. However, ethical considerations—including market fairness and potential systemic risks—must be carefully managed.


Conclusion

In the increasingly data-driven future of finance, quantitative trading isn’t merely an advantage—it's the backbone. Whether you're an investor, technologist, or policymaker, understanding this financial revolution is essential.




量化交易:重塑现代金融的算法革命



今天,我想谈谈现代金融中一股变革性的力量——量化交易。在这个数据主导决策的时代,量化交易重塑了市场运作方式,用算法、统计模型和自动化取代了人类的直觉。


量化交易的崛起

量化交易通过数学模型识别盈利机会。通过分析历史数据、市场趋势和实时指标(如价格波动或新闻情绪),算法以人类交易员无法匹敌的精确度和速度执行交易。这一方法在对冲基金、投行甚至加密货币市场中已占据主导地位。


核心策略

以下是几种常见技术:

1.统计套利:利用相关性资产间的价差获利(如配对交易)。

2.趋势跟踪:算法捕捉市场动量,买入上涨资产,做空下跌资产。

3.高频交易(HFT):依靠微秒级价差获利——依赖速度和先进基础设施。

4.机器学习:AI模型通过海量数据中的隐藏模式预测市场走势。


量化交易的优势

其优势显而易见:

•  无情绪化执行:依赖纯粹计算逻辑,消除恐惧与贪婪。

•  可扩展性:单一算法即可高效管理全球市场的数十亿美元资产。

•  适应性:模型随新数据持续进化,保持对传统投资策略的优势。


风险与挑战

但量化交易并非没有风险:

•  过拟合:模型在历史数据中表现优异,却在实盘交易中失效。

•  黑天鹅事件:市场崩盘或地缘政治冲击可能打破历史规律。

•  竞争加剧:随着更多机构采用量化策略,利润空间可能大幅压缩。


量化交易的未来

量化交易无疑将持续存在。随着人工智能、量子计算和另类数据源(如卫星图像和社交媒体分析)的进步,其影响力将不断增强。但必须谨慎应对伦理问题,包括市场公平性和潜在系统性风险。


在日益数据驱动的金融未来中,量化交易不仅是优势——更是核心支柱。无论你是投资者、技术专家还是政策制定者,理解这场金融革命都至关重要。





教师代表

Teacher Representative




 ·. Peter






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The Golden Circle of Inspired Learning


I am happy to share a simple but revolutionary idea that transforms classrooms into launchpads and homework into heart-work. It's called The Golden Circle by Simon Sinek in 2009 - three questions that NASA engineers use to reach Mars, that Apple used to reinvent phones, and that we will use to enlighten our learning superpowers: Why? How? What?


1. Start with WHY - Our Compass

Why do we really come to school? Is it just to complete textbooks? To chase grades?

Our WHY is the oxygen that fuels learning rockets:

- Teachers teach because they believe in unlocking human potential.

- Students learn because curiosity is our human superpower.

- Together, we grow because the world needs critical thinkers ready to solve climate crises, bridge cultural divides, cure diseases.

When my 12-year-old child asks "Why does the moon follow our car?" - that's not childish. That's the scientist's WHY we must never lose!


2. Master the HOW - Our Toolkit

HOW we learn matters more than what we memorize:

- Teachers: Your lesson plans become treasure hunts when you share WHY equations unlock quantum mysteries or WHY Shakespeare still speaks to TikTokers.

- Students: Your study sessions transform when you connect chemistry to cleaning oceans, Mandarin to understanding 1.4 billion people's stories.

- Secret Sauce: Ask "HOW does this connect to the result?" more than "What's the answer?"

Last months, we see the DeepSeek rebuilt AI modes - they solved HOW to create a new calculation and restructure the digital mode. That's Golden Circle thinking!


3. Excel at WHAT - Our Evidence

The WHAT becomes magical when WHY and HOW are clear:

- Grades become progress reports, not anxiety scores.

- Exams become conversations with great thinkers.

- Projects become prototypes for real-world solutions.

When our ASDAN TEAM competes with others, it's not roleplay - it's preparation to redesign the business models, and we may understand the tariff war between USA and China currently. When we solve calculus problems, we're rehearsing to build earthquake-proof cities, and we may save several hundreds of thousands of human beings! 


Our Challenge Starting Today:

- Teachers: Begin every lesson with WHY - write it on your whiteboard! 

- Students: Before each assignment, write 1 sentence about YOUR why.

- All: When stuck, ask "What would the Golden Circle do?" 

A student once told me, "I study biology to cure my grandma's diabetes." That WHY carried her through late-night labs to a top university scholarship. 

Our Golden Circle isn't just a theory - it's the difference between: 

- Surviving school vs. leading revolutions

- Memorizing facts vs. gaining wisdom

- Counting school days vs. creating legacy days

The world doesn't need more graduates - it needs purpose-driven architects of tomorrow. Let's be the generation that doesn't just ask "What's on the test?" but "What's worth testing in life?"




“黄金圈”理论


今天,我很高兴分享一个简单却颠覆性的理念——它能将课堂变为发射台,让作业转化为走心之作。这就是西蒙·斯涅克于2009年提出的“黄金圈”理论:三个问题——“为什么”(Why)、“怎么做”(How)、“做什么”(What)。NASA工程师用它们登陆火星,苹果用它们重新定义手机,而我们,将用它们激活学习超能力!


1. 以“为什么”为起点——我们的指南针

我们究竟为何来到学校?仅仅为了填满教科书?追逐分数?

“为什么”是点燃学习火箭的氧气:

•  教师教书,是因为相信释放人类潜能。

•  学生学习,是因为好奇心是我们的超能力。

•  共同成长,是因为世界需要能解决气候危机、弥合文化鸿沟、治愈疾病的批判性思考者。

当12岁的孩子问“月亮为什么跟着车跑?”——这不是幼稚,而是科学家般的“为什么”,我们永远不能丢失它。


2. 掌握“怎么做”——我们的工具箱

学习方式比死记硬背更重要:

•  教师:当您解释“为什么方程式能解开量子之谜”、“为什么莎士比亚能让TikTok世代共鸣”,教案就变成了寻宝图。

•  学生:当化学课关联净化海洋,中文课连接14亿人的故事,学习就会发生蜕变。

•  秘诀:多问“这如何导向结果?”,少问“答案是什么?”

上个月,DeepSeek团队重建AI模型——他们用“怎么做”创造了新算法,重构数字世界。这就是黄金圈思维!


3. 成就“做什么”——我们的证据

当“为什么”和“怎么做”清晰时,“做什么”将充满魔力:

•  分数成为成长报告,而非焦虑指数

•  考试化作与伟大思想家的对话

•  项目变成现实难题的原型方案

当我们的ASDAN团队参赛时,这不是角色扮演——而是为重塑商业模式做准备,或许能理解当下的中美关税战;当我们解微积分题时,是在为建造抗震城市排练,未来可能拯救数十万人!


从今天开始的挑战

•  教师:每节课以“为什么”开场——写在白板上!

•  学生:每次作业前,写下你的“为什么”。

•  所有人:遇到困难时,问“黄金圈会怎么做?”

曾有学生告诉我:“我学生物是为了治愈奶奶的糖尿病。”这个“为什么”支撑她熬过深夜实验室,最终赢得顶尖大学奖学金。


黄金圈不仅是理论,更是两种人生的分水岭:

•  在生存与引领变革之间

•  在背诵事实与获得智慧之间

•  在数着上学天数与创造历史时刻之间

世界不需要更多毕业生——它需要以使命驱动的未来建筑师。让我们成为这样一代人:不只问“考试考什么?”,更要问“生命中什么值得检验?”



声明:本文内容为国际教育号作者发布,不代表国际教育网的观点和立场,本平台仅提供信息存储服务。

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