A practical, repeatable workflow to analyze any stock with AI—shown step-by-step using The Trade Desk (NASDAQ: TTD) as the live example.
Published: October 2, 2025 • Category: Investing & ETFs • Reading time: 12–15 min
Free Toolkit: Download our one-page “AI Stock Research Checklist” + the prompt pack used in this article.
Disclaimer: This tutorial is for education only and is not financial advice. Always verify numbers in official filings (10-K/10-Q) and trusted data providers before investing.
Why use ChatGPT for stock research?
Because it saves hours by structuring the research, highlighting blind spots, and generating drafts you can refine. The key is pairing AI with primary sources (SEC filings, earnings call transcripts) and a disciplined checklist.
Overview: The Trade Desk (TTD) in one minute
- What it does: A leading demand-side platform (DSP) that helps advertisers buy programmatic ads across the open internet (display, video, audio, mobile, connected TV).
- How it earns: Primarily a take-rate on ad spend flowing through its platform.
- Why it matters: Positioned for the shift of ad budgets to CTV and privacy-centric identity (e.g., UID2).
- Key risks: Competition vs. walled gardens, ad-cycle cyclicality, privacy/regulation, valuation premium.
Step-by-step workflow (with copy-paste prompts)
1) Understand the business model
Prompt → Give me a concise profile of The Trade Desk (TTD): business model, revenue drivers, core products, customer types, and how value is delivered vs. walled gardens.Pro tip: Ask for a value chain summary—suppliers (publishers/CTV platforms), platform role, and customer outcomes (reach, measurement, ROAS).
2) Map the industry & competitors
Prompt → Compare TTD with Google Ads, Amazon Ads, Meta, and Magnite. Who competes directly? Which segments are defensible for TTD (CTV, open internet, identity solutions)?| Player | Strength | Overlap with TTD | Watchouts |
|---|---|---|---|
| Google / Meta | Massive reach, closed ecosystems | Limited (walled gardens) | Budget share pressure |
| Amazon Ads | Retail media, Prime video, 1P data | CTV budgets | CTV competition |
| Magnite (SSP) | Supply-side strength | Indirect (buy side vs. sell side) | Fees/identity policies |
| Indie DSPs | Niche specialization | Direct | Feature parity |
3) Summarize financial quality (qualitative first)
Prompt → Summarize the last 5 years of TTD trends: revenue growth cadence, operating margin direction, free cash flow consistency, and net cash/debt posture. DO NOT invent numbers; give qualitative trends and where to verify them in 10-K/10-Q.Verify: Cross-check revenue, margins, SBC, cash, and buybacks in the latest 10-K/10-Q and earnings slides/transcripts. AI can miss recent changes.
4) Identify growth drivers (2025–2030)
Prompt → List TTD’s top growth drivers for 2025–2030 and map each to quantifiable indicators I can monitor (e.g., CTV share of spend, UID2 adoption metrics, new partnerships, international mix).- CTV budget shift (share of total ad spend moving to streaming).
- Privacy-centric identity solutions (UID2 adoption by partners/retail media/CTV).
- Product velocity (AI-driven bidding, measurement, retail media integrations).
- Geo expansion and enterprise penetration.
5) Surface risks & bear-case triggers
Prompt → Draft a risk map for TTD: competitive dynamics, macro ad cycles, privacy/regulatory shifts, measurement signal loss, customer concentration, valuation risk. Provide mitigation angles and datapoints to watch.6) Valuation sanity checks
Prompt → Explain how to triangulate TTD’s valuation: P/S vs. growth, FCF yield vs. quality, and scenario analysis (bull/base/bear revenue CAGR and margin). Highlight why high-quality platforms can trade at a premium—and what breaks that premium.7) Write your investment thesis (bull & bear)
Prompt → Create a balanced one-page investment thesis for TTD:
* Bull case (moat, CTV tailwinds, UID2, FCF quality)
* Bear case (competition, regulation, valuation)
* What would change my mind (3 red flags, 3 green flags)
* A 3-bucket scenario table with KPI guardrails I can track quarterly.Reusable prompt pack (copy, paste, ship)
Prompt 1 (Profile)
Give me a 150-word profile of The Trade Desk (TTD), including what the platform does, who pays it, and how it differentiates from walled gardens.
Prompt 2 (Moat)
List TTD’s moat components and rate each (0–5) for durability: data/identity, CTV access, partner ecosystem, product velocity, switching costs.
Prompt 3 (KPI Map)
Build a KPI dashboard for tracking TTD: revenue growth, take-rate signals, CTV share of spend, gross margin, operating margin, SBC %, FCF, NRR.
Prompt 4 (Risk Heatmap)
Create a risk heatmap with likelihood/impact and mitigation notes. Include “what to watch” headlines for each upcoming quarter.
Prompt 5 (Valuation)
Outline a simple scenario model (5 years) with bull/base/bear revenue CAGR, target operating margin, and implied EV/S to FCF transition.Quarterly checklist
- Earnings release: revenue growth, CTV commentary, guidance quality.
- Margins: opex discipline vs. continued R&D/product investment.
- Cash & dilution: FCF generation, SBC trend, buybacks.
- Identity & partnerships: UID2 adoption, retail/CTV/measurement wins.
- Competitive chatter: Amazon/Google/Meta in CTV and retail media.
Sample thesis (template)
Bull case (concise)
Leader in open-internet programmatic with strong CTV exposure; privacy-centric identity strategy; asset-light model with durable FCF; broad partner ecosystem.
Bear case (concise)
Intense competition from giants; macro ad cycles; policy/regulatory uncertainty; premium valuation vulnerable to execution hiccups.
What changes my mind
- Red flags: CTV share stalls, identity adoption reverses, margin compression + rising SBC.
- Green flags: Major CTV/retail media partnerships, accelerating NRR/enterprise wins, consistent FCF expansion.
Download: Prompt Pack (TXT)
Internal links (add before publishing)
- Reading Stock Charts – 2025 Guide
- FOMO Investing Guide
- Future of Tokenization
- Best Free Tools for Students
FAQs
Can I rely on ChatGPT for real-time financials?
No—use ChatGPT for synthesis. Verify all numbers in the company’s 10-K/10-Q and earnings materials before making decisions. Where do I find official documents?
Company investor relations page, SEC EDGAR (10-K/10-Q/8-K), and reputable data terminals/providers. How often should I update my thesis?
At least quarterly (after earnings) or when a major competitive/regulatory event occurs.
Author: AlphaTechFinance Editorial • Disclaimer: Educational content only. Not investment advice.
