Domo Lab is where fundamental analysis meets machine learning. Pick from over 20 valuation multiples and financial line items, choose a forward return window, and YouDomo automatically fits a linear and polynomial regression model to tell you whether cheap valuations have historically led to stronger stock returns — and what the current price implies going forward.
Features
Domo Lab automatically tests whether valuation ratios like price-to-sales, price-to-earnings, and price-to-free-cash-flow, or fundamentals like revenue growth and margins, have any statistical relationship with a stock's forward returns — then fits the best-performing regression model to the data.
Plot popular valuation multiples against 1, 3, 6, 12 or 60 month forward stock returns to visually spot whether cheap or expensive valuations have historically preceded stronger performance.
YouDomo fits both a linear and 2nd-degree polynomial regression model to the data and automatically selects the winning model based on R² lift, so you don't have to run the statistics yourself.
Every analysis returns a full model selection report: sample size, correlation coefficient, linear R², polynomial R², the fitted equation, and mean absolute error — true quant analytics, not a black box.
Domo Lab plots the stock's current valuation on the fitted regression curve and estimates what forward return the historical relationship implies at today's price.
Narrow the regression to a specific historical period — exclude the 2020–2021 valuation distortion, isolate a rate-hiking cycle, or focus only on the last five years of data.
Test revenue growth, margins, free cash flow, and other financial statement line items against forward returns — not limited to valuation ratios alone.
Start every Domo Lab analysis with a dual-axis time series chart overlaying the selected valuation multiple against the stock's adjusted close price, going back over a decade. Instantly see whether the stock is trading rich or cheap relative to its own history before diving into the regression.
Run your first regression →
Domo Lab plots every historical valuation-to-return observation as a scatter, overlays the best-fit curve, and marks the stock's current value directly on the line. The Model Selection Report shows the exact fitted equation, R² lift threshold used to pick the winning model, mean absolute error, and the implied forward return — full transparency into the quant methodology.
See the full model report →
How It Works
Enter a stock symbol and choose a valuation multiple or fundamental line item — price-to-sales, price-to-earnings, revenue growth, margins, and more.
Select a 1, 3, 6, 12 or 60 month forward return period, and optionally set a custom start date to focus the analysis on a specific market regime.
Domo Lab fits linear and polynomial regression models, selects the best fit, and reports the correlation, R², and implied forward return at the stock's current valuation.
Under the Hood
Domo Lab isn't a black box. Every analysis surfaces the same statistical outputs a quant analyst would compute by hand — just automated.
Measures the strength and direction of the linear relationship between the chosen feature and forward returns.
Compares how much of the variance in forward returns is explained by a straight-line fit versus a curved, 2nd-degree polynomial fit.
The polynomial model is only selected over the simpler linear model when it clears a minimum R² improvement threshold, avoiding overfitting.
The exact regression equation used to generate the estimate, so you can see precisely how the implied return was calculated.
Quantifies, on average, how far actual historical forward returns have deviated from what the fitted model predicted.
Plugs the stock's current valuation into the winning model to estimate the forward return the historical relationship implies today.
FAQ
Stop eyeballing valuation charts and guessing. Let Domo Lab run the statistics and tell you what the data actually says.