Markets in Practice. Learn the surface professionals actually use.
Finance curricula teach the math. The industry moves on data platforms. Convexity gives students the real terminal (primary filings, insider flow, macro, AI synthesis) at a price you can justify to yourself between textbook chapters.
What school teaches vs. what practitioners use.
Your coursework is rigorous. The gap isn't intellectual, it's infrastructural. The people hiring you read primary sources all day on tools you haven't touched yet. This is where that gap closes.
DCFs in Excel, Compustat screenshots, textbook case studies. Tidy, teachable, one step removed from the filing itself.
Bloomberg and FactSet terminals, live filings as they drop, alt-data feeds, internal memos in Slack. Expensive, fast, messy, primary.
The industry toolkit, priced for one person. Free tier included: real EDGAR, real Form 4, real macro, real AI synthesis. No synthetic data, no textbook screenshots.
The semester, mapped.
Twelve weeks, twelve primitives a working analyst should be fluent in. Each module pairs a concept with a route on Convexity where you can practice on live data. Finish the list in a term and you'll have a research workflow, not a stack of notes.
- W01Filings
Reading a 10-K
Skim the filing, pull XBRL line items, locate risk factors and MD&A without losing an afternoon to PDF scroll.
Practice on Convexity →/sec - W02Insider
Form 4 literacy
Spot a real insider cluster. Separate 10b5-1 plan sales from open-market purchases by a CEO.
Practice on Convexity →/flow - W03Filings
8-K timeline · tracing catalysts
Reconstruct a single name's last eighteen months from 8-K events and FinBERT sentiment deltas.
Practice on Convexity →/sec - W04Modeling
XBRL ratios
Normalise financials across periods and filings. Three-period comparison without touching Excel.
Practice on Convexity →/financials - W05Macro
FedSpeak & macro
Read FOMC language shifts. Map dot-plot moves to the real yield curve.
Practice on Convexity →/macro - W06Alt-data
Politician trades
Read the STOCK Act disclosure feed. Spot where Congress is actually buying versus what they talk about.
Practice on Convexity →/congress - W07Alt-data
Patents as signal
Use USPTO filings as an R&D thesis tool. Velocity, assignee concentration, claim density.
Practice on Convexity →/patents - W08Flow
Options flow 101
Read unusual volume, block prints, and gamma exposure. Tape vs. derivatives tape.
Practice on Convexity →/flow - W09Modeling
Earnings calendar
Build a pre- and post-print playbook. Consensus, whisper, guidance, surprise history.
Practice on Convexity →/earnings - W10Writing
Research memo with AI, cited
Draft a memo using the AI stack. Every claim resolves to a primary-source paragraph; if it doesn't cite, it doesn't ship.
Practice on Convexity →/ai - W11Workflow
Watchlists & smart alerts
Build a tracked universe. Wire alerts to insider buys, 8-K events, earnings beats, and unusual options flow.
Practice on Convexity →/watchlist - W12Capstone
Your first thesis
A written long- or short-idea using every module above. Filings, flow, macro, synthesis. One memo, fully cited.
Practice on Convexity →/ai
Concepts, mapped to tools.
When the textbook introduces a concept, this is where it lives in the product. Print the page. Tape it to the wall if that's your thing.
/portfolio → Risk → Factor/earnings/research → Consensus/sec → XBRL normalized/flow/sec → Compare/macro/patentsWhat this costs vs. a textbook.
Honest, in dollars. The Free tier is real, not a trial. Pro and Pro Plus exist for when the spreadsheets stop scaling.
Free
$0
GPT-5.6 Luna · 10 AI queries / month, delayed quotes, 1 watchlist, 3 smart alerts, insider and politician trade feeds, SEC filings access.
For students still deciding if markets are their thing.
Pro · $29 / mo · $290 / yr
Claude Sonnet
150 AI queries / month, real-time market data, command palette, 25 watchlists, 25 alerts, morning brief, options flow, unlimited history.
Less than one textbook chapter. Cancel from the settings page.
Pro Plus · $79 / mo
Claude Opus
1,000 queries + 20 deep-research runs, unlimited watchlists and alerts, semantic search across filings, API access (0 calls / mo), unlimited history.
For the student writing a thesis, a newsletter, or a fund.
The terms, one line each.
A handful of primitives worth knowing before W01. Nothing here is proprietary, these are the terms the professional world uses every day.
A teaching assistant that cites its sources.
Every AI answer ships with a citation back to the filing paragraph it came from. If the citation isn't there, the claim isn't made. That's the whole pedagogy.
Why is NVDA's gross margin so much higher than AMD's this quarter?
NVDA's data-center mix is driving most of the gap. Latest 10-Q breaks out segment GM at ~78% for data-center vs. ~52% blended at AMD[1]. The mix-shift toward H100 sales is the proximate cause[2].
Open a free account; upgrade when you know it matters.
The Free tier is the whole reading room: filings, insiders, politicians, macro, 10 real Luna queries a month. If markets end up being your career, upgrade. If they don't, you learned on primary sources either way.