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In addition to price, volume and company information, each stock is analyzed using three independent linear regressions calculated from approximately the last 30 trading days of closing prices. Before the regressions are calculated, prices are converted into percentage returns relative to the first trading day of the period so that companies with very different share prices can be compared on the same scale. The reported slope is measured in percentage points of return per trading day (%/day). For example, a slope of +0.40%/day means the regression line increased, on average, by approximately 0.40 percentage points each trading day, while a slope of -0.25%/day means it decreased by about 0.25 percentage points per trading day.

Days 1–15 represents the linear regression fitted only to the oldest 15 trading days within the 30-day window. The reported value is the regression slope (%/day). Positive values indicate the stock was generally appreciating during the first half of the period, negative values indicate it was declining, while values close to zero indicate little or no directional trend.

Days 16–30 represents the regression fitted only to the most recent 15 trading days. Its slope is also expressed in %/day. This is generally the best estimate of the stock's current direction and recent momentum.

Days 1–30 is the regression fitted to the complete 30-day period. Its slope, also expressed in %/day, summarizes the overall direction across the month while smoothing short-term fluctuations. Although it provides useful context, it is not used to determine whether momentum is accelerating or weakening.

Delta is calculated as the difference between the recent and initial regression slopes (Days 16–30 slope − Days 1–15 slope). Since both slopes are measured in %/day, Delta is also expressed in percentage points per trading day. A positive Delta means the trend became more positive (or less negative) during the second half of the period, while a negative Delta indicates weakening momentum or an increasingly negative trend. Very small changes are treated as statistical noise and classified as Unchanged.

Delta Classification categorizes the change in momentum into three groups: Increasing, Decreasing, or Unchanged. This avoids interpreting very small differences between the two regression slopes as meaningful changes in market behavior.

Initial Trend and Current Trend simply indicate whether each 15-day regression slope is Positive, Negative, or approximately Flat. Together they describe how the direction of the trend evolved during the month.

Interpretation combines the signs of the two 15-day slopes together with the Delta Classification into a single description of the stock's recent behavior. Possible classifications include Accelerating Uptrend, Decelerating Uptrend, Accelerating Downtrend, Decelerating Downtrend, Reversal: Uptrend Turning into Downtrend, Reversal: Downtrend Turning into Uptrend, Emerging Uptrend, Emerging Downtrend, Uptrend Flattening, Downtrend Flattening, Steady Uptrend, Steady Downtrend, Steady Near Flat, and Flat / No Momentum.

Noise (σ) is the standard deviation of the differences between the observed percentage returns and the LOESS trend line. It measures how closely prices follow the underlying trend. Lower values indicate smoother price action, while larger values indicate greater day-to-day volatility around the trend.

These indicators are intended as descriptive statistical measures, not price forecasts. They summarize the direction, strength and evolution of recent price behavior using objective regression analysis, allowing investors to compare the momentum of different securities under a consistent framework.