The quant edge,
minus the spreadsheet.
A 24-factor quant model scores 4,000+ US stocks every Monday and ranks each one by P/E discount versus its sector median — not against the whole market. Free to start.
Top sector-relative discounts
The five highest composite-score picks from this Monday's rebalance. Free to view — sign up for the full list and AI rationale.
Built for honest analysis
- 4,000+ US stocks scored on 24 factors
- Universe last refreshed this week
- 10 years of point-in-time backtest data
Find quality stocks in seconds.
Every US stock scored weekly. Filter by what matters to you — profitability, growth, momentum, or value.
- See top-rated stocks across 4,000+ US companies
- Smart scoring — a cheap utility isn't the same as a cheap tech stock
- Skip the spreadsheets — all scored automatically
| Ticker | Sector | Score | ROIC | Δ Mon |
|---|---|---|---|---|
| NVDA | Tech | 98 | 62% | +1.2 |
| META | Comms | 96 | 29% | +0.4 |
| GOOG | Comms | 95 | 27% | -0.3 |
| AVGO | Tech | 94 | 31% | +0.9 |
| BRK.B | Fin | 93 | 18% | +0.8 |
| UNH | HC | 92 | 22% | -0.1 |
Datacenter compute dominance pairs with 62% ROIC and accelerating FCF growth. P/E elevated vs market but 12% discount to Tech median on forward earnings.
AI analysts on every stock.
Five AI analysts debate every stock and deliver a BUY, HOLD, or SELL rating. Like having your own research team.
- Reads real financial data — no hallucinated numbers
- Clear BUY / HOLD / SELL verdict, not vague analysis
- Know WHY — the reasoning behind every call
Proof over promises.
Test any strategy against a decade of real market history before risking a single dollar. See exactly how it would have performed vs SPY and QQQ.
- 10 years of real market data (2016–2025)
- Compare returns against SPY and QQQ head-to-head
- No look-ahead bias — only data that was available at the time
Open about how it works
How sector-relative P/E works
Why a 15× P/E in tech can be cheap and a 15× P/E in utilities can be expensive — and how we quantify it.
Why we don't trust absolute valuation
Absolute multiples mislead across sectors. Sector-relative comparison fixes the cross-industry blind spot.
Backtesting without survivorship bias
Point-in-time data, look-ahead protection, and honest accounting for delisted stocks. The boring math that makes backtests credible.
Start free.
Or read first.
Skeptical? Read the methodology first. Ready? Sign up — signal scores on the top 200 stocks. Or just leave your email — we'll send the top picks every Monday.
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Frequently asked
Tessera Alpha screens 4,000+ US-listed stocks weekly, covering all major exchanges. The universe is discovered dynamically through quality screening — no static watchlists. Each stock is scored on 24 fundamental and technical factors including P/E ratios, momentum, profitability, and growth metrics.
Tessera Alpha uses a quantitative approach: stocks are scored on 24 factors (profitability, momentum, valuation, growth) and ranked by sector-relative P/E signals. The strategy dynamically discovers the full US equity universe each week — no static watchlists. An optional AI research panel can then summarize the data behind any candidate in plain language.
Yes. You can backtest strategies against 10 years of historical data (2016-present) with customizable parameters including position sizing, rebalance frequency, and competitive rotation. Results include total return, CAGR, Sharpe ratio, max drawdown, and benchmark comparison against SPY and QQQ.
Yes — the free tier includes full stock screening access across all 4,000+ stocks with no credit card required. Starter and Pro plans unlock backtesting, real-time monitoring, AI research summaries, and advanced features.
Tessera Alpha uses institutional-grade financial data including quarterly earnings, balance sheets, cash flow statements, price history, analyst estimates, and macroeconomic indicators. All data is point-in-time accurate to prevent look-ahead bias in backtests.
Finviz and Stock Rover are great screening tools. Tessera Alpha adds three things on top: sector-relative signals that compare each stock to its sector median (not absolute thresholds), a multi-agent AI research panel that synthesizes fundamentals into plain-language summaries, and full backtesting with 10 years of point-in-time data. The free tier covers screening — so you can try it side by side.
Authentication is handled by Clerk and payments by Stripe. Your password and card details never touch our servers — both are stored and processed by audited third-party providers (SOC 2 Type II for Clerk; PCI-DSS Level 1 for Stripe).
No. Tessera Alpha is an educational research tool. It does not place trades, hold custody of money, or make personalized recommendations. Backtested performance is not predictive of future returns. Use it to inform your own analysis — not as a substitute for it.
The full universe is rescreened every Monday with end-of-week data. Earnings calendars, analyst estimates, and macro indicators update intraday. Backtest history covers 2016 to today, point-in-time accurate.
Tessera Research is an educational research tool, not a registered investment adviser (RIA). We do not provide personalized investment advice, hold client assets, or place trades. Our outputs are hypothetical research and ranking signals; how you use them is your decision. If you want fiduciary advice tailored to your circumstances, work with a registered adviser. We follow SEC Marketing Rule disclosure conventions for hypothetical performance even though we are not subject to them, because we believe that's the right standard.
We publish a public track record at /track-record listing every weekly top-pick set we've published since launch, with subsequent returns honestly reported (winners and losers). All disclosures from /methodology/backtest-disclosure apply.