The quant edge,
minus the spreadsheet.
Start a 20-stock paper book in 60 seconds. Balanced Core comes off the shelf — the same book every free account starts from — and rebalances itself every Monday on a 17-factor model that ranks each stock against its sector median, not the whole market. Free, no credit card.
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 your own paper book.
| # | Ticker | Sector | Score | Full list |
|---|---|---|---|---|
| 01 | AGL | Healthcare | 0.66 | Sign up free |
| 02 | CBL | Real Estate | 0.65 | Sign up free |
| 03 | ABUS | Healthcare | 0.64 | Sign up free |
| 04 | NRXP | Healthcare | 0.64 | Sign up free |
| 05 | SHO | Real Estate | 0.64 | Sign up free |
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 |
Built for honest analysis
- 4,000+ US stocks scored on 17 factors
- Universe last refreshed this week
- 10 years of point-in-time backtest data
Understand it, then stress-test it
AI analysts on every stock
Five AI analysts read the real financials and return one clear verdict — with the reasoning behind it.
- Reads real financial data — no hallucinated numbers
- A clear BUY / HOLD / SELL, not vague analysis
- Always shows the why behind the call
Proof over promises
Test any strategy against a decade of point-in-time history — only data that was actually available at the time.
- A decade of real market data (2016–2025)
- Compare head-to-head against SPY and QQQ
- No look-ahead bias, by construction
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 — a 20-stock paper book on autopilot, plus signal scores on the top 200. Or just leave your email — we'll send the top picks every Monday.
Free · 1-click unsubscribe · No spam
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 17 weighted fundamental and technical factors — including P/E, momentum, profitability, and growth — drawn from a 44-factor point-in-time panel.
Tessera Alpha uses a quantitative approach: stocks are scored on 17 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.
Backtesting is part of the paid Tessera plan. On it you can backtest against 10 years of point-in-time history (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. The free plan does not backtest — its single strategy slot runs the paper book instead.
Yes, and no credit card. The free plan runs one paper book on autopilot — Balanced Core off the shelf, 20 positions rebalanced weekly — and shows 3 of those 20 holdings by name. It also includes a watchlist capped at 10 tickers with a composite score on every name, 10 company deep-dives a month, and the screener across all 4,000+ stocks with scores on the 200 largest by market cap. The paid Tessera plan unlocks all 20 holdings, backtesting, portfolios you build yourself, AI research, analyst data and CSV export.
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 the screener plus a 20-position paper book on autopilot — so you can try it side by side — while backtesting and the AI panel are part of the paid plan.
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.