Asking a generic AI
- No structure or ranking
- No second-order beneficiaries
- No counter-arguments or risks
- Tickers may not exist
- No data to track over time
Building thesis from
I think that stablecoins will become mainstream
Sharpening your thesis
Forming the Wellow Take
Pulling stocks and ETFs
Stress-testing risks and counterarguments
Validating with market data
Composing your thesis page
Used by people at
Real thesis from real beliefs
Tap a card to generate the full thesis: exposure map, ranked tickers, risks, and live data.
Popular right now
Live prediction markets
Why structured?
Asking a generic AI
A Wellow thesis
A high-frequency indicator of US air travel volume.
Example output for “I think travel will keep growing.” Real theses include 6–10 ticker cards, 3–8 live data points, plus risks and a backtest.
Asking a generic AI
A Wellow thesis
A high-frequency indicator of US air travel volume.
Example output for “I think travel will keep growing.” Real theses include 6–10 ticker cards, 3–8 live data points, plus risks and a backtest.
How it works
Start with a simple conviction about the future. No tickers, no jargon.
See stocks, ETFs, second-order beneficiaries, and risks, ranked by thesis fit.
Create a read-only thesis page you can revisit or send to others.
Refined thesis
One sharper restatement of your conviction as a precise investment claim.
Causal chain
The numbered links between your belief and the picks — first-order beneficiaries through second- and third-order effects.
Ranked exposure
Direct, indirect, enabler, and high-beta tickers, sorted by fit, with logos and 90-day sparklines.
Counterargument per pick
What a sharp investor on the other side of the trade is seeing — surfaced on every card.
Live data to watch
TSA throughput, RevPAR, jet fuel, and similar high-frequency indicators with current values pulled from FRED.
Questions
No. Wellow turns a belief into a structured research artifact: a thesis, ranked exposure, risks, and data to track. It's a starting point for your own research, not a recommendation to buy or sell anything.
A frontier model maps your conviction to direct, indirect, and second-order beneficiaries, then ranks them by thesis fit, exposure purity, business quality, and risk. Every ticker is then validated against a market-data API. Anything that doesn't resolve to a real listed company is dropped.
Sparkline price history is delayed end-of-day data from Twelve Data, refreshed daily. Macro indicators (FRED) update on their publishing cadence: typically daily, weekly, or monthly. Wellow is research-grade, not a trading terminal.
Theses are stored for 90 days as unlisted, read-only share links. They're not indexed, not searchable, and not visible to other users unless you share the URL. Nothing is sold, advertised against, or used to train a model.
Yes, Wellow is free to use during MVP. There's a per-IP daily generation limit to keep costs sane.
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