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Investor Narrative 投资者叙事
Why We're Not Building
Another Trading Tool
为什么我们不做
又一个交易工具
A deep look at why we chose a fundamentally different GTM strategy — and why it's the only approach that builds real moats in the AI era. 深入分析为什么我们选择了一种根本不同的GTM策略——以及为什么这是AI时代唯一能建立真正护城河的方式。
VARSITY TECH · 2026
The Obvious Path 显而易见的路径
Every VC has seen
this pitch 10 times
每个VC都见过
这种方案10次了
🛠️
"AI Strategy Builder""AI策略构建器"
Describe your idea, AI generates a trading strategy. Sounds cool. 50 startups are building this.描述你的想法,AI生成交易策略。听起来很酷。50家初创公司在做这个。
📊
"Easy Backtesting""简易回测"
No-code backtester with pretty charts. QuantConnect, Composer, and 20 others already do this.无代码回测器配漂亮图表。QuantConnect、Composer和其他20家已经在做了。
🤖
"AI Trading Copilot""AI交易副驾驶"
ChatGPT wrapper for markets. Cool demo. Zero retention after week one.ChatGPT的市场包装版。演示很酷。第一周后留存率为零。
"We could build any of these. But we spent a long time thinking about what actually survives." "我们能做以上任何一个。但我们花了很长时间思考什么才能真正存活下来。"
The Tool Trap 工具陷阱
In the AI era, tools get commoditized overnight 在AI时代,工具一夜之间就被商品化
The Tool Builder's Problem工具构建者的困境
Any LLM can generate a backtesting script tomorrow任何LLM明天就能生成回测脚本
Open-source quant libraries are free and improving fast开源量化库免费且快速改进
Your product becomes a wrapper — margins go to zero你的产品变成包装器——利润归零
Users leave the moment a cheaper/free alternative appears更便宜/免费的替代品一出现用户就离开
vs
What Can't Be Copied无法被复制的是什么
An active community of 100K+ traders competing weekly每周竞争的10万+活跃交易者社区
Proprietary behavioral data from millions of real decisions来自数百万真实决策的专有行为数据
Rank history, leaderboards, and social proof that took years花费数年积累的排名历史、排行榜和社交证明
Network effects — an empty arena is worthless, a full one is a flywheel网络效应——空的竞技场毫无价值,满的则是飞轮
The Right Question 正确的问题
We stopped asking
"how to build the best tool"
我们不再问
"如何构建最好的工具"
Instead, we asked: 我们转而问:
"Where does the moat actually live
in the AI era?"
"在AI时代,护城河到底在哪里?"
Tools工具
get replicated可以被复制
Users用户
don't transfer无法转移
Behavior行为
is proprietary是专有的
Data数据
compounds daily每天在积累
The Answer 答案
So we built
an arena.
所以我们建了
一个竞技场。
Not a tool. Not a course. Not a broker.
A place where traders come to prove themselves.
不是工具。不是课程。不是券商。
一个交易者来证明自己的地方。
🎯
Free Capital免费资金
Traders enter with simulated capital. Zero barrier.交易者使用模拟资金参赛。零门槛。
⚔️
Compete竞争
Real-time leaderboards. Ranks. Weekly rounds.实时排行榜。段位。每周轮次。
📋
Scorecard评分卡
Behavioral analysis after every round. Mirror, not lecture.每轮后的行为分析。是镜子,不是说教。
📈
Level Up升级
Graduate from manual to systematic. When they're ready.从手动升级到系统化交易。当他们准备好时。
The Core Insight 核心洞察
80-90% of retail traders lose.
We designed around that fact.
80-90%的散户亏钱。
我们围绕这个事实来设计。
Most platforms pretend they can fix it with a tutorial. We don't pretend. 大多数平台假装一个教程就能解决。我们不假装。
1
Traders enter the arena. Manual trading. Free capital.交易者进入竞技场。手动交易。免费资金。
Low barrier — "Think you can trade? Prove it."低门槛——"你觉得你能交易?证明一下。"
2
Most lose. They see it in their scorecard.大多数人亏了。他们在评分卡上看到这一点。
Not a lecture — their own data, their own patterns.不是说教——是他们自己的数据,自己的模式。
3
They look at the leaderboard. The top performers are quant strategies.他们看排行榜。顶级表现者是量化策略。
Not us telling them. Them discovering it.不是我们告诉他们。是他们自己发现的。
4
Natural migration. Manual → Systematic. Curiosity → Conviction.自然迁移。手动 → 系统化。好奇 → 信念。
They adopt quant tools because they chose to, not because we sold them.他们采用量化工具是因为自己选择的,不是因为我们推销的。
Why Not Education-First? 为什么不是教育优先?
You can't teach someone
who doesn't think they need it
你无法教一个
不觉得自己需要学习的人
Education-First (Old Model)教育优先(旧模式)
"Learn quant trading" — appeals to maybe 500K people globally"学习量化交易"——全球大概只吸引50万人
High churn — people sign up, do 2 lessons, leave高流失——注册后做2课就离开
Fighting against human ego — nobody thinks they're a bad trader与人类自尊心作斗争——没人觉得自己是差劲的交易者
Conversion to paid is brutal — "why pay for a course?"付费转化极其困难——"为什么要付费学课程?"
vs
Arena-First (New Model)竞技场优先(新模式)
"Prove you can trade" — speaks to 50M+ overconfident retail traders"证明你能交易"——吸引5000万+过度自信的散户
Gamified retention — ranks, streaks, weekly rounds keep them coming back游戏化留存——段位、连胜、每周轮次让他们持续回来
Uses human ego as fuel — everyone wants to prove they're good利用人类自尊心——每个人都想证明自己很厉害
Organic conversion — they discover quant tools through their own experience自然转化——通过自身经验发现量化工具
Top of Funnel 漏斗顶部
We own the biggest funnel
in retail trading
我们拥有散户交易中
最大的漏斗
50M+
Overconfident retail traders过度自信的散户
5M+
Aspiring prop traders有志成为自营交易员的人
10-15%
Convert to quant tools转化为量化工具用户
$0
CAC for organic conversion自然转化获客成本
"Think you can trade? Prove it." is a much easier sell than "Learn quantitative finance." "你觉得你能交易?证明一下。"比"学习量化金融"好卖得多。
We reach the traders who would never sign up for a quant course — and that's exactly the point. 我们触达那些永远不会报名量化课程的交易者——这正是关键。
Defensibility 护城河
4 moats that
compound over time
4条护城河
随时间复合增长
01
Network Effects网络效应
An empty arena is worthless. A full one with leaderboards, rank history, and social proof is a flywheel. First mover matters. You can't copy 2 years of community with a weekend hackathon.空的竞技场毫无价值。有排行榜、段位历史和社交证明的满员竞技场是一个飞轮。先发优势很重要。你无法用一个周末的黑客松复制2年的社区。
02
Proprietary Behavioral Data专有行为数据
Every trade, every hold-too-long, every panic sell — training data no one else has. Makes our AI coaching sharper, our scorecards smarter, our quant tools better. Every day.每一笔交易、每一次持仓过久、每一次恐慌卖出——别人没有的训练数据。让我们的AI教练更精准,评分卡更智能,量化工具更好。每一天都在进步。
03
Behavioral Lock-in行为锁定
Rank, streak, history — traders don't leave because they've invested their identity. Same mechanic that keeps people on Duolingo for years, not days.段位、连胜、历史——交易者不会离开,因为他们投入了自己的身份认同。与让人们在Duolingo上停留数年而非数天的机制相同。
04
Natural Upsell Path自然升级路径
Users don't convert because we sell them. They convert because they watched quant strategies beat them for 3 months. Conviction > persuasion. LTV goes up, churn goes down.用户不是因为我们推销才转化的。他们转化是因为看了3个月量化策略击败他们。信念 > 说服。LTV上升,流失下降。
Business Model 商业模式
Revenue doesn't depend on
$29/month subscriptions
收入不依赖
每月29美元的订阅
🎫
Challenge Fees挑战费用
Premium rounds with real stakes有真实赌注的高级轮次
⬆️
Capital Tiers资金等级
Higher rank = more simulated capital更高段位 = 更多模拟资金
🧠
Quant Tools量化工具
Paid features after natural conversion自然转化后的付费功能
📊
Data Licensing数据授权
Behavioral data for institutions向机构授权行为数据
🏆
Sponsored Events赞助赛事
Brands sponsor trading tournaments品牌赞助交易锦标赛
Multiple revenue streams from Day 1. No single point of failure. Revenue grows with user base, not with sales team. 从第一天起就有多元收入流。没有单一故障点。收入随用户增长,而非随销售团队增长。
The 3-Year View 三年展望
What the world looks like
in 3 years
3年后的世界
会是什么样
🔮
What becomes table stakes (2028)2028年什么变成标配
• Every quant tool will have AI built in
• Strategy generation is a commodity
• Backtesting is free everywhere
• "AI-powered" means nothing
• 每个量化工具都会内置AI
• 策略生成变成商品
• 回测到处免费
• "AI驱动"毫无意义
🏟️
What won't be table stakes什么不会变成标配
• 100K+ active traders competing weekly
• 2 years of proprietary behavioral data
• A brand that means "the trading arena"
• Organic conversion funnel with near-zero CAC
• 每周竞争的10万+活跃交易者
• 2年的专有行为数据
• 代表"交易竞技场"的品牌
• 接近零CAC的自然转化漏斗
We're not racing to build the best tool before AI catches up. We're racing to build the network before anyone else realizes tools aren't the moat. 我们不是在AI赶上之前竞速打造最好的工具。我们是在别人意识到工具不是护城河之前竞速建设网络。
VARSITY TECH
We're not building a tool.
We're building the place
where traders go.
我们不是在建工具。
我们在建一个
交易者必去的地方。
Every trader. Every market. One arena. 每一个交易者。每一个市场。一个竞技场。
tan@varsitytech.com tan@varsitytech.com
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