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The Duolingo of Quant Trading 量化交易的Duolingo

Varsity Tech

Making systematic trading addictive, accessible, and intelligent 让系统化交易变得上瘾、易用、智能

AI
Agent-PoweredAI代理驱动
C++
Institutional Engine机构级引擎
XP
Gamified Learning游戏化学习

Varsity Tech Pte Ltd — February 2026

The Pitch核心概念

Duolingo for Trading 交易界的Duolingo

🦉

Duolingo

Made language learning addictive for 100M+ users through gamification, streaks, and bite-sized lessons. 通过游戏化、连胜机制和小份课程让1亿+用户对语言学习上瘾。

📈

Varsity Tech

We do the same for quant trading. Our AI agent teaches you to build, test, and run real trading strategies — one lesson at a time. 我们对量化交易做同样的事。我们的AI代理教你构建、测试和运行真实的交易策略——每次一课

No coding无需编程 No jargon无需术语 Real results真实成果
How It Works工作原理

5 Steps to Becoming a Quant 成为量化交易者的5个步骤

1

Tell the AI what you want告诉AI你想要什么

"Build me a momentum strategy for Bitcoin""给我建一个比特币动量策略"

2

AI builds, explains, and backtestsAI构建、解释和回测

Using hedge-fund-grade C++ engine for institutional accuracy使用对冲基金级C++引擎确保机构级精度

3

Learn why it works (or doesn't)了解为什么有效(或无效)

Guided feedback with clear explanations, not black-box signals通过引导反馈获得清晰解释,而非黑箱信号

4

Level up, unlock harder strategies升级,解锁更高难度策略

Compete in challenges, earn XP, climb leaderboards参加挑战赛,获取经验值,攀登排行榜

5

Deploy to live markets部署到实盘市场

When ready, go live with confidence backed by real backtested data准备好后,凭借真实回测数据自信地进入实盘

Business Model商业模式

The Duolingo Playbook Duolingo剧本

Duolingo

Free lessons免费课程 Premium Family Enterprise

Varsity Tech

Free AI agent免费AI代理 Premium高级版 Challenges挑战赛 Enterprise
🆓

FREEMIUM

Free AI agent (open-source)免费AI代理(开源)

👑

PREMIUM

Institutional backtesting, premium data机构级回测,高级数据

🏆

CHALLENGES

Virtual funded account competitions虚拟资金账户竞赛

🚀

UPGRADES

Advanced templates, multi-asset高级模板,多资产

🏢

B2B

Universities, brokerages大学、券商授权

Go-To-Market市场策略

GTM Strategy — 4 Phases GTM策略 — 四个阶段

Phase 1 — Seed第一阶段 — 种子

Now – Mar 2026现在 – 2026年3月

Crypto competition 50+ participants
4+ social platforms
Open-source agent on GitHub
加密货币竞赛50+参与者
4+社交平台
GitHub开源代理

Phase 2 — Campus第二阶段 — 校园

Apr – Aug 20262026年4月 – 8月

NUS / NTU / SMU partnerships
University quant clubs
KOL partnerships
NUS/NTU/SMU合作
大学量化俱乐部
KOL合作

Phase 3 — Community第三阶段 — 社区

Sep – Dec 20262026年9月 – 12月

Leaderboards, streaks, XP
User-generated strategies
Referral program
排行榜、连胜、经验值
用户生成策略
推荐计划

Phase 4 — Scale第四阶段 — 规模化

2027

Global launch web + mobile
Localization (CN/JP/KR)
B2B enterprise pilots
全球发布网页+移动端
本地化(中日韩)
B2B企业试点

2026 Q1 2026 Q2-Q3 2026 Q4 2027+
Moat #1护城河 #1

The Habit Loop 习惯循环

Daily streaks, XP points, leaderboards, and challenges create emotional dependency. Same reason 80% of Duolingo users come back daily. Once someone builds their trading routine on our platform, switching cost is enormous. 每日连胜、经验值、排行榜、挑战赛创造情感依赖。与Duolingo 80%用户每天回来的原因相同。一旦用户在我们平台上建立了交易习惯,转换成本巨大。

Daily Streak每日连胜

27
M
T
W
T
F
S
S

Experience Points经验值

4,250

750 XP to next level距下一级还需750 XP

Rank排名

#12

Diamond League钻石联赛

80% daily return rate — the most powerful retention engine in edtech 80%每日回访率 — 教育科技中最强大的留存引擎

Moat #2护城河 #2

Learning Curve as Lock-in 学习曲线即锁定

Users invest weeks and months building skills. Their progress, strategies, and learning history live on the platform. Leaving means starting over. 用户投入数周/数月建立技能。他们的进度、策略和学习记录都在平台上。离开意味着从头开始。

🌱

Week 1第1周

First strategy built构建第一个策略

🌳

Month 1第1个月

12 strategies, 5 backtests12个策略,5次回测

🎯

Month 3第3个月

Custom library, live paper trades自定义策略库,模拟交易

💰

Month 6+第6个月+

Live portfolio, deep history实盘组合,深度记录

Switching cost increases exponentially with time invested 转换成本随投入时间呈指数增长

Moat #3护城河 #3

AI Agent Intelligence AI代理智能

Our agent learns from millions of strategy interactions. Gets smarter and more personalized over time. Generic ChatGPT wrappers can never match domain-specialized accumulated intelligence. 我们的代理从数百万策略交互中学习。随时间变得更智能、更个性化。通用ChatGPT包装器永远无法匹配领域专业化的累积智能。

GENERIC
🤖

ChatGPT Wrapper

No domain memory无领域记忆
No user personalization无用户个性化
Static knowledge静态知识
No execution ability无执行能力
SPECIALIZED
🧠

Varsity Tech Agent

Millions of strategy interactions数百万策略交互
Deeply personalized to user深度个性化
Continuously learning持续学习
Builds, tests, and deploys构建、测试和部署
Moat #4护城河 #4

C++ Backtesting Engine C++回测引擎

Takes 12-18 months and serious engineering to build. Competitors use Python (100x slower). This is our technical moat. Institutional speed and accuracy. 需要12-18个月和顶尖工程师才能构建。竞争对手使用Python(慢100倍)。这是我们的技术护城河。机构级速度和精度。

C++ (Varsity Tech)

~0.3s / 10yr backtest

Python (Competitors)Python(竞争对手)

~30s / 10yr backtest
100x

faster execution更快的执行速度

12-18

months to replicate个月才能复制

Hedge Fund对冲基金

grade accuracy级别精度

Tick-Level逐笔级

simulation fidelity模拟保真度

Moat #5护城河 #5

Network Effects + Data Flywheel 网络效应 + 数据飞轮

More users create more strategies, which make the AI smarter, which attracts even more users. Leaderboards create social pressure to stay. Clean financial data pipelines get richer over time. 更多用户 创造更多策略 让AI更智能 吸引更多用户。排行榜创造留存社交压力。清洁金融数据管道随时间越来越丰富。

DATA
FLYWHEEL
数据
飞轮
👥

More Users更多用户

📊

More
Strategies
更多
策略

🧠

Better AI更好AI

💾

Richer
Data
更丰富
数据

Competition竞争格局

Competitive Landscape 竞争格局

QuantConnect

"The University Textbook""大学教科书"

Powerful but requires coding. No gamification. Steep learning curve scares away 90% of users. 功能强大但需要编程。无游戏化。陡峭的学习曲线吓退90%用户。

Powerful强大 Code-only纯编程 No gamification无游戏化

Composer

"The Spreadsheet""电子表格"

Simplified but no AI, no institutional backtesting. Limited to equities. No learning path. 简化但无AI,无机构级回测。仅限股票。无学习路径。

Simple简单 No AI无AI No backtest无回测

Capitalise.ai / 3Commas

"One-Trick AI""单一技巧AI"

Does one thing. No lifecycle, no education, no progression system. Users don't learn. 只做一件事。无生命周期,无教育,无进阶系统。用户学不到东西。

AI-drivenAI驱动 No learning无学习 No lifecycle无生命周期

Robinhood / eToro

"Trading Apps""交易应用"

Not learning platforms. Copy-trading doesn't build skills. Users stay beginners forever. 非学习平台。跟单交易无法培养技能。用户永远停留在新手阶段。

Popular流行 No education无教育 No skills无技能
Unique Position独特定位

The Only Platform Combining All Four 唯一结合四大功能的平台

We sit at the intersection where no competitor can reach. 我们占据竞争对手无法触及的交叉点。

🧠

AI AgentAI代理

Teaches AND executes教学与执行一体

⚙️

C++ EngineC++引擎

Institutional-grade simulation机构级模拟

🎮

Gamification游戏化

Streaks, XP, levels, leagues连胜、经验值、等级、联赛

📈

Full Lifecycle完整路径

Beginner to live trader从零基础到实盘交易者

No other platform has all four. This is our moat. 没有其他平台同时具备这四项。这就是我们的护城河。

Market市场

Market Opportunity 市场机会

$33.45B

AI trading platform market by 2030 2030年AI交易平台市场规模

CAGR 20%
$300B+

US retail inflows in 2025 2025年美国散户资金流入

RETAIL BOOM散户浪潮
24/7

Crypto markets — younger users, tokenized RWA 加密市场 — 更年轻用户,代币化RWA

FASTEST GROWING最快增长
0

"Duolingo of Trading" platforms that exist today 目前存在的"交易界Duolingo"平台

BLUE OCEAN蓝海市场
The Vision愿景

Duolingo turned 100M people into language learners. Duolingo让1亿人成为语言学习者。

We turn 100M people into systematic traders. 我们让1亿人成为系统化交易者。

Trading shouldn't be gambling.
It should be a skill you build — one lesson at a time.
交易不应该是赌博。
它应该是一项你逐步建立的技能——每次一课。

Summary总结
Gamified Learning游戏化学习
+
AI AgentAI代理
+
Institutional Engine机构级引擎
=

The Duolingo of Quant Trading 量化交易的Duolingo

VT

Varsity Tech

Pte Ltd — Singapore

genfi.tech
GitHub
Twitter / X
LinkedIn
Discord

Let's build the future of trading education together. 让我们一起构建交易教育的未来。

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