Content Playbook

Online Marketing &
Content Strategy

Varsity Tech — AI-Native Quantitative Trading Platform

A data-driven framework for building authority, community, and pipeline through social content.

The Why

Why Content-Led Growth?

In fintech, trust is the product. Content builds trust at scale.

Authority

Data-backed posts position us as the go-to quant platform. Traders follow signal, not noise.

Community

Consistent content creates a flywheel: followers → users → advocates → more followers.

Pipeline

Every post is a top-of-funnel touchpoint. Content converts 3x better than paid ads in fintech.

Framework

8 Content Pillars

Every post maps to one of eight strategic pillars.

Trade Executions

Real trades, real P&L. Transparency builds trust.

PnL Reports

Daily/weekly performance cards. Own the narrative.

Data Analysis

Macro insights backed by data. Charts that tell a story.

Backtested Strategies

Systematic edge, proven by data. Strategies with receipts.

User Feedback

Social proof. Testimonials, milestones, community wins.

Educational Content

Teach quant concepts. Tutorials, explainers, “how-to” guides.

Market Commentary

Real-time takes on market events, Fed moves, earnings.

Build in Public

Engineering updates, product demos, team culture, milestones.

Pillar 1

Trade Execution Posts

Template Structure

Hook

Lead with the result. “+12.4% on NVDA in 3 days.”

Setup

What signal triggered the trade? AI model, pattern, catalyst.

Execution

Entry, exit, position size, timeframe. Be specific.

CTA

“Want signals like this? Join the beta.”

V
Varsity Tech
@varsitytech · 2h
+12.4% on $NVDA in 3 sessions.

Our AI flagged a momentum breakout on Feb 18. Entry at $128.50, exited today at $144.40.

Signal: Transformer attention spike + volume divergence confirmed by our C++ backtester across 1,200 historical analogs.

This is what systematic edge looks like.
#QuantTrading#NVDA#AITrading#SystematicEdge
♡ 342↻ 89💬 47📊 12.4K
Pillar 2

PnL Report Posts

Template Structure

Headline Number

Lead with the portfolio return. Bold, unmissable.

Breakdown

Top winners/losers, sector allocation, win rate.

Equity Curve

Visual chart showing cumulative performance.

Context

Compare vs benchmark (SPY). Show alpha generated.

V
Varsity Tech
@varsitytech · Daily PnL
Daily PnL: +$2,847 (+1.42%)

Top movers today:
▲ TSLA +3.2%   ▲ AMZN +1.8%
▼ META -0.4%   ▲ MSFT +0.9%

Win rate: 78%  |  Sharpe: 2.14
vs SPY: +0.87% alpha
Feb 1 Today
♡ 521↻ 134💬 72📊 24.1K
Pillar 3

Data-Backed Analysis

Inspired by @KobeissiLetter — charts that go viral because they reveal hidden truths.

What Makes It Work

Contrarian Insight

Reveal what most people get wrong. “Everyone thinks X, but the data says Y.”

One Clear Chart

One visual that tells the whole story. Annotate key inflection points.

Data Source

Always cite your source. Credibility compounds over time.

So-What Factor

End with actionable insight. What should traders do with this info?

V
Varsity Tech
@varsitytech · Analysis
BREAKING: US M2 money supply just hit an all-time high of $21.7T.

Last time M2 expanded this fast while yields stayed inverted? 2007.

But here's what most people miss — the lag between M2 expansion and equity response is 6-9 months.

We ran this through 40 years of data. The result:
M2 Supply SPX (lagged 7mo) Source: FRED, Varsity Tech Research
#MacroAnalysis#M2#DataDriven
♡ 1.2K↻ 487💬 156📊 89K
Pillar 4

Backtested Strategy Posts

Inspired by @SystematicPeter — strategies with receipts, not opinions.

Template Structure

Strategy Name

Give it a clear, memorable name. “Momentum Breakout v3”

Rules

Entry/exit rules in plain language. Reproducible and testable.

Stats

CAGR, Sharpe, max drawdown, win rate, sample size.

Equity Curve

Backtest chart with drawdown overlay. Show both wins and losses.

V
Varsity Tech
@varsitytech · Backtest
Strategy: Mean Reversion RSI(2)

Rules:
• Buy when RSI(2) < 10 on SPY
• Sell when RSI(2) > 90
• Universe: S&P 500 components

Backtest: Jan 2010 – Dec 2025

CAGR: 18.7%  |  Sharpe: 1.84
Max DD: -12.3%  |  Win Rate: 71%
Trades: 2,847  |  Avg Hold: 4.2 days
-12.3% DD 2010 2025
♡ 876↻ 312💬 98📊 52K
Pillar 5

User Feedback & Social Proof

Content Types

Testimonial Quotes

Screenshot real DMs and reviews (with permission). Authenticity wins.

Milestone Celebrations

“10,000 backtests run this month” — community stats that show traction.

Before / After

Show how users improved their trading with our platform.

User Spotlights

Feature power users. Let their success story sell for you.

V
Varsity Tech
@varsitytech · Community
User spotlight: @TraderMike_SG

“I went from discretionary trading with a 42% win rate to systematic trading with a 73% win rate in 3 months using Varsity Tech.”

Mike's journey:
• Month 1: Explored 12 factor models
• Month 2: Backtested 200+ variations
• Month 3: Deployed top 3 strategies live

Result: +31% win rate improvement

Stories like Mike's are why we build. 🚀
#UserStory#QuantTrading#VarsityTech
♡ 654↻ 198💬 83📊 31K
Pillar 6

Educational Content

Teach your audience. The best marketing doesn't feel like marketing.

Template Structure

Concept Hook

Start with a common misconception or “most traders get this wrong” angle.

Simple Explanation

Break down the concept in plain language. Use analogies. No jargon.

Visual / Example

Diagram, chart, or worked example that makes it click.

Takeaway

“Save this for later” — make it bookmarkable.

V
Varsity Tech
@varsitytech · Education
Sharpe Ratio explained in 60 seconds:

Most traders brag about returns. Smart traders measure risk-adjusted returns.

Sharpe = (Return - Risk-Free Rate) / Std Dev

Translation:
• Sharpe < 1.0 = meh, you're getting paid poorly for risk
• Sharpe 1.0-2.0 = solid, institutional grade
• Sharpe > 2.0 = elite, top-tier quant territory

A 50% return with 60% volatility (Sharpe 0.8) is WORSE than a 20% return with 8% volatility (Sharpe 2.5).

Stop chasing returns. Start measuring edge.
#QuantEducation#SharpeRatio#TradingBasics
♡ 1.8K↻ 742💬 203📊 112K
Pillar 7

Market Commentary

Real-time takes on breaking events. Speed + data = credibility.

Template Structure

Breaking Event

Lead with what just happened. Fed decision, earnings miss, geopolitical shock.

Data Context

Add historical context. “Last 5 times this happened, SPX did X within 30 days.”

Our Model's Take

What does our AI/quant model say? Show the signal, not just opinion.

Watch List

Key levels, tickers, or events to watch next. Give actionable follow-ups.

V
Varsity Tech
@varsitytech · 4m ago
BREAKING: Fed holds rates at 4.25%

Market expected a cut. Didn't get one. Here's what the data says:

Last 8 times the Fed held longer than expected:
• SPX dropped avg -2.1% in 5 days
• But rallied +4.8% within 60 days
• Tech outperformed value in 6/8 cases

Our momentum model just flipped:
▼ Short-term: RISK OFF
▲ Medium-term: Accumulation zone

Watch levels:
• SPY support: $512
• QQQ resistance: $445
• VIX spike target: 22-24

We'll post our model's full breakdown tonight.
#FedDecision#MarketUpdate#RealTimeAnalysis
♡ 2.3K↻ 1.1K💬 387📊 245K
Pillar 8

Build in Public

Show the journey. People invest in founders they feel connected to.

Content Types

Engineering Updates

“We just made our backtest engine 10x faster. Here's how.” Show technical wins.

Product Demos

Short screen recordings. Show the product in action, not just talk about it.

Milestone Updates

“1,000 users. 50K backtests. $2M processed.” Numbers tell the growth story.

Lessons & Failures

Share what went wrong and what you learned. Vulnerability builds loyalty.

V
Varsity Tech
@varsitytech · Build Log
Week 12 build update:

We just shipped something we're really proud of.

Our C++ backtest engine now processes 1M candles in 0.3 seconds.

For context, most retail platforms take 15-30 seconds for the same test.

What we changed:
• Rewrote the event loop from Python to C++
• Added SIMD vectorization for indicator calcs
• Memory-mapped data files (zero copy reads)

This means our users can test 500 strategy variations in the time it takes to make coffee.

Next up: GPU-accelerated portfolio optimization.

Building the fastest quant platform in SEA, one commit at a time. 🛠️
#BuildInPublic#Fintech#StartupLife#QuantDev
♡ 943↻ 276💬 118📊 67K
Cadence

Weekly Content Calendar

14-18 posts per week across all eight content pillars.

MON
TUE
WED
THU
FRI
SAT
SUN
AM
Trade Exec
Weekly recap
Analysis
Macro deep dive
PnL Report
Mid-week update
Backtest
Strategy spotlight
PnL Report
Weekly close
Community
User spotlight
Analysis
Week ahead
PM
Education
Concept explainer
Commentary
Market reaction
Trade Exec
Live trade alert
Education
How-to thread
Build Log
Product update
Build Log
Team / culture
Commentary
Week wrap + hot takes
ANYTIME Breaking market commentary drops whenever news hits — speed wins engagement.

● Trade   ● PnL   ● Analysis   ● Backtest   ● Community   ● Education   ● Commentary   ● Build Log

Platforms

Platform-Specific Strategy

Same content pillars, adapted for each platform's native format.

X / Twitter

Primary channel for real-time market content.

• Threads for analysis deep dives
• Single tweets for trade alerts
• Quote tweets on market events
• Spaces for weekly AMAs
• Target: 2-3 posts/day

LinkedIn

Professional audience, B2B pipeline.

• Long-form thought leadership
• Company milestones & hiring
• Industry analysis & reports
• Team & culture content
• Target: 3-4 posts/week

YouTube / TikTok

Video content for tutorials and demos.

• Strategy walkthrough videos
• Platform demo clips (60s)
• “How I backtested X” series
• Market breakdown reels
• Target: 2-3 videos/week

Discord / Telegram

Community hub for engaged users.

• Real-time trade alerts channel
• Strategy discussion forums
• Weekly office hours
• Beta tester coordination
• Target: Daily engagement

Funnel

Content → Conversion Funnel

How each content pillar maps to the user journey.

Awareness Analysis & Backtest posts → Viral reach
Interest Trade Executions & PnL → Follow/Subscribe
Trial CTAs in posts → Beta signup
Conversion Onboarding + Results → Paid user
Advocacy User Feedback posts → Referrals
Voice

Brand Voice & Writing Rules

Do

✓ Lead with data, not hype
✓ Use specific numbers ($, %, dates)
✓ Short sentences. Punchy delivery.
✓ Show your work (backtest results)
✓ Cite sources for every claim
✓ Use emojis sparingly (max 2/post)
✓ End with a CTA or question
✓ Write at a grade 8 reading level

Don't

✗ Never promise returns
✗ No “to the moon” language
✗ Avoid jargon without explanation
✗ Don't bash competitors by name
✗ No financial advice disclaimers inline (use bio/pinned)
✗ Don't repost without adding value
✗ No engagement bait (“like if you agree”)
✗ Never fake screenshots or data

Tone: Confident but humble. Data-rich but accessible. Professional but not boring.

Metrics

Content KPIs & Targets

Track what matters. Optimize weekly.

MetricMonth 1Month 3Month 6Month 12
X/Twitter Followers5003,00010,00050,000
Avg Post Impressions2K10K30K100K+
Engagement Rate3%4%5%5%+
Website Click-throughs200/mo1.5K/mo5K/mo20K/mo
Beta Signups (from social)505002,00010,000
Newsletter Subscribers1001,0005,00025,000
Discord/Telegram Members1008003,00015,000
Tooling

Marketing Tech Stack

Lean, efficient tools for a startup moving fast.

Content Creation

• Canva Pro — graphics
• Figma — branded templates
• CapCut — video editing
• Midjourney — custom visuals

Scheduling & Analytics

• Typefully — X scheduling
• Buffer — multi-platform
• Google Analytics 4
• Twitter Analytics

Community

• Discord — primary hub
• Telegram — alerts channel
• Beehiiv — newsletter
• Notion — content wiki

SEO & Growth

• Ahrefs — keyword research
• Tweet Hunter — growth
• SparkToro — audience intel
• Phantom Buster — outreach

Design System

• Brand colors: Cyan + Purple
• Font: Inter (UI), JetBrains Mono (data)
• Dark mode-first templates
• Chart style guide

Automation

• Zapier — cross-platform
• GitHub Actions — content CI
• Custom bot — auto PnL cards
• RSS — content syndication

Roadmap

Content Growth Timeline

Phase-by-phase content strategy aligned with GTM.

Phase 1: Seed

Feb – Apr 2026

• Establish brand accounts
• 30 foundational posts
• Build Discord to 500
• First 5 backtest threads
• Launch newsletter

Phase 2: Launch

May – Jun 2026

• Product launch campaign
• KOL partnerships (5-10)
• Daily PnL cards begin
• First viral analysis thread
• PR + media coverage

Phase 3: Scale

Jul – Dec 2026

• 3 posts/day cadence
• Paid amplification
• User-generated content
• YouTube series launch
• Referral content program

Phase 4: Expand

2027+

• Multi-language content
• Regional KOLs (SEA/APAC)
• B2B thought leadership
• Conference speaking
• Content team scale-up

Optimization

A/B Testing & Iteration

Every post is a data point. Optimize relentlessly.

What to Test

• Hook styles (question vs stat vs bold claim)
• Post length (short tweet vs thread)
• Visual types (chart vs mockup vs screenshot)
• Posting time (morning vs market close)
• CTA placement (inline vs end)
• Hashtag count (0 vs 2 vs 4+)

How to Measure

• Impressions & reach per post type
• Engagement rate (likes + RTs + replies / impressions)
• Click-through rate to website
• Follower growth rate by content pillar
• Conversion: signup from post attribution
• Weekly review, monthly deep dive

Feedback loop: Post → Measure (48h) → Tag top performers → Double down on what works → Kill what doesn't

Let's Build

Ready to Own the
Quant Content Space?

8 pillars. 14-18 posts/week. Data-driven iteration.

The playbook is set. Time to execute.

Phase 1 Kickoff

Set up accounts, templates, and first 30 posts

Weekly Reviews

Content performance deep dive every Friday

Team Sync

Marketing ↔ Product alignment bi-weekly

Varsity Tech — Marketing & Content Team — 2026

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