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Tessera Alpha
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Tessera Alpha

Find undervalued stocks vs. their sector, automatically

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Back in 2021 I got tired of stock screeners. They were either $200/month or borderline useless. So I built my own — a few Python scripts and a notebook I'd run every Sunday before Monday's trades.

I used it for myself for four years. Never thought about doing anything with it.

Then in December I got laid off.

Severance gave me about five months of runway. So I took the thing I'd been quietly using and turned it into something other people could use too.

That's tesseraalpha.com.

It scores every US stock weekly on 24 quality factors (Piotroski F-Score, ROIC, margins, momentum) and ranks them by P/E vs. their sector — finding undervalued companies relative to actual peers, not the broad market. Strategies are walk-forward backtested across 5 rolling time windows so you see real robustness, not cherry-picked numbers. Median Sharpe across windows: 1.23. Beat SPY in every window tested.

Same methodology I trusted with my own money for four years — just with a UI now. Here's an example of what a stock page looks like: tesseraalpha.com/stocks/NVDA

Free to start, no credit card. Would love brutal feedback.

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Features

• 24-factor quality scoring across 4,000+ US stocks

• Sector-relative P/E ranking (not market-relative)

• Walk-forward backtesting across 5 rolling windows

• Compare against SPY, QQQ, and 14+ sector ETFs

• Live paper-trading mode

• Pre-built strategy presets + custom strategies

• 800+ ETF directory with deep fund analysis

Use Cases

• Find undervalued stocks before they're popular

• Validate any investment strategy with walk-forward backtests

• Replace manual spreadsheet analysis with automated weekly scoring

• Compare a strategy against SPY, QQQ, and sector ETFs

• Discover stocks across 4,000+ US tickers (NYSE, NASDAQ, AMEX)

Comments

Back in 2021 I got tired of stock screeners. They were either $200/month or borderline useless. So I built my own a few Python scripts and a notebook I'd run every Sunday before Monday's trades. I used it for myself for four years. Never thought about doing anything with it. Then in December I got laid off. Severance gave me about five months of runway. So I took the thing I'd been quietly using and turned it into something other people could use too. That's tesseraalpha.com. Same methodology I trusted with my own money for four years just with a UI now. Here's an example stock page: tesseraalpha.com/stocks/NVDA Would love brutal feedback.

The Analysis on this tool is amazing and provides insights!

custom-img
engineer @ DoE. building Notch.

Is investor education a component of the app? I understand the attraction of finding undervalued stocks, but that's generally an approach taken by investors starting their initial foray into the markets. In your experience using it, have you found refreshing weekly to be a good enough indicator? Would think in highly volatile markets like today there might be massive spreads in certain stocks.

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Comments

Back in 2021 I got tired of stock screeners. They were either $200/month or borderline useless. So I built my own a few Python scripts and a notebook I'd run every Sunday before Monday's trades. I used it for myself for four years. Never thought about doing anything with it. Then in December I got laid off. Severance gave me about five months of runway. So I took the thing I'd been quietly using and turned it into something other people could use too. That's tesseraalpha.com. Same methodology I trusted with my own money for four years just with a UI now. Here's an example stock page: tesseraalpha.com/stocks/NVDA Would love brutal feedback.

The Analysis on this tool is amazing and provides insights!

custom-img
engineer @ DoE. building Notch.

Is investor education a component of the app? I understand the attraction of finding undervalued stocks, but that's generally an approach taken by investors starting their initial foray into the markets. In your experience using it, have you found refreshing weekly to be a good enough indicator? Would think in highly volatile markets like today there might be massive spreads in certain stocks.