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Talval
Summary
You've read the 10-K, you like the business — and then you wonder whether you're buying at a price that already prices in everything you just learned. Talval exists to answer that question before the trade, not after.
Talval runs valuation, moat scoring, and AI-generated investment theses on individual stocks, surfacing a verdict — undervalued, fairly valued, or overvalued — alongside a conviction score and a fair value estimate with percentage distance from the current price. The platform also surfaces superinvestor 13F filing data and tracks portfolio positions with price alerts, which means you can cross-reference your own thesis against what large institutional managers are doing. The covered universe runs into the hundreds of companies repriced on a rolling basis. Where Talval breaks down is depth: there is no API, no self-hosted option, and no way to pipe its verdicts into a custom screening pipeline. Investors who need to backtest or programmatically query the model assumptions will hit that wall quickly.
Bottom line: Pick Talval when you want a fast second opinion — conviction score, fair value, and guru positioning — before sizing a position in a covered stock; expect to hit its ceiling the moment you need to export data, run your own factor model, or screen outside its covered universe.
Pricing Plans
Subscription- Price
- $14.99/mo for Premium; $29/mo for Pro (launch offer)
- Free Tier
- 15 research reports per day, 15 watchlist names, 15 portfolio holdings, 5 price alerts, 1 PDF export per month
Free
15 reports/day, limited watchlist and alerts
- 15 research reports / day
- Stock screener & 13F tracking
- Daily pre-market briefing
Premium
Everything in Free plus analyst ratings and smart-money data
- 25 reports/day
- Unlimited watchlist/portfolio/alerts
- Wall Street ratings & 13F + insider flow
Pro
Everything in Premium plus unlimited reports and real-time prices
- Unlimited reports
- Real-time prices
- 100 AI theses/month
- Unlimited PDF exports
View full pricing on talval.com →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- Fair value estimate paired with a 1–10 conviction score on every covered stock, so you get a ranked signal rather than a raw number you have to calibrate yourself.
- Superinvestor 13F filing data displayed alongside the intrinsic value verdict, which means you can spot alignment or divergence between the platform's model and institutional positioning without switching tools.
- AI-generated investment thesis on demand, so you can stress-test your own reasoning against a structured narrative in seconds rather than synthesizing filings manually.
- Portfolio tracking with price alerts built into the same interface, which means you set the target spread and get notified when the stock moves toward fair value — no separate alert tool required.
- Freemium access to the core valuation and screening features, so you can validate whether the model's verdicts match your own framework before committing to a paid tier.
Cons
Sign in to edit- No API and no data export means every verdict stays inside the Talval interface — teams that run their own factor models or want to feed fair value estimates into a spreadsheet or backtesting framework cannot do it. The workaround is manual transcription, which does not scale past a handful of names.
- Coverage is limited to the several hundred companies the platform tracks; stocks outside that universe return no verdict at all. Investors focused on small-caps, international equities, or sector niches beyond the covered list will find the screener returns blank results where they need answers — at which point they are back to building their own model or switching to a data provider with broader coverage.
- The valuation model is a black box: the page surfaces the fair value number and conviction score but does not expose the underlying assumptions — growth rate, discount rate, terminal value — for user adjustment. Analysts who need to run sensitivity scenarios on their own inputs will find this a hard ceiling and typically move to a DCF-capable platform where the model is editable.
About
- Platforms
- Web, iOS, Android
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-09-08T23:08:16.857Z
Best For
Who it's for
- Individual value investors
- Users analyzing stocks with 13F data
- Investors needing fair value verdicts
- Portfolio tracking with alerts
What it does well
- Stock intrinsic value and moat analysis
- Tracking superinvestor 13F filings
- Screening for undervalued or quality growth stocks
- Generating AI investment theses
- Monitoring portfolios and price alerts
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Sign Up to ContributeFrequently Asked Questions
- Is Talval free?
- Talval has a permanent free tier alongside paid upgrades (paid plans from $14.99/mo for Premium; $29/mo for Pro (launch offer)). You can keep using a baseline version indefinitely without paying.
- Is Talval open source?
- No — Talval is a closed-source tool. Source code is not publicly available.
- What platforms does Talval support?
- Talval is available on: Web, iOS, Android.
Curated lists that include this category
Screens and valuation tools usually give you a number. What they rarely give you is a verdict with a conviction score attached, plus the context to know whether a large institutional manager agrees. Talval combines discounted-cash-flow-style fair value estimates, moat analysis, and AI-generated investment theses into a single stock page, delivering an undervalued / fairly valued / overvalued classification alongside a 1–10 conviction score and a percentage gap to estimated fair value. The core workflow is: search a stock, read the verdict, check the 13F-derived guru positioning, set a price alert if you want to wait for the spread to close.
The differentiating feature is the integration of superinvestor 13F filing data alongside the platform’s own valuation output. Rather than treating institutional positioning as a separate research task, Talval surfaces it on the same page as the intrinsic value estimate — so you can see in one pass whether the model’s conviction and large-fund behavior are pointing the same direction or diverging. The weekly repricing cadence and a ‘highest-conviction’ weekly shortlist give individual investors a structured starting point that would otherwise require assembling data from multiple sources.
Talval fits individual value investors who want a pre-trade sanity check and a quality-growth screener without building their own model. It does not fit teams that need API access to plug verdicts into a proprietary pipeline, analysts who need to interrogate the assumptions inside the valuation model, or investors focused on stocks outside the covered universe — the page indicates several hundred companies are tracked, which leaves substantial market coverage gaps. There is no self-hosted option and no API, so the tool is entirely cloud-dependent and closed to programmatic use.