RS Percentile — the core calculation
Every stock in the universe is ranked against every other stock in the same market. The rank is based on that stock's price return relative to the benchmark index over a defined lookback window. A stock in the 92nd percentile has outperformed 92% of all other stocks in that market over that period — it is in the top 8%.
This percentile approach has one important property: it is self-normalising. In a strong bull market, almost every stock rises — but the RS percentile still separates the strongest 20% from the weakest 20%, regardless of absolute returns. This means the ranking remains meaningful even when the whole market is trending.
The percentile is computed separately over multiple windows — a short-term window, a medium-term window, and a longer-term window. Each window captures a different aspect of relative performance.
Why multiple lookback windows matter
A single lookback period is unreliable in isolation. A stock can spike sharply in one week on news and look extremely strong on a short window, while still being a long-term underperformer. Conversely, a long-term RS leader can experience a brief pullback that looks bad on a short window.
The short-term window captures recent price momentum and responsiveness. It is the most volatile and sensitive to noise. It is not reliable by itself but adds value when it aligns with longer-term readings.
The medium-term window is the workhorse period. It is long enough to filter out short-term noise and short enough to reflect current conditions rather than history. This is the primary signal for most classifications on the platform.
The longer-term window captures deeply embedded trends. Stocks that have maintained strong relative performance over the long run have typically done so through multiple market conditions — earnings cycles, volatility events, macro shifts. This persistence is the hallmark of genuine institutional participation.
When all three windows agree — short, medium, and long-term RS all positive — the signal is far more reliable than any single window alone. This multi-window alignment is what the platform specifically identifies.
What separates the analytical tiers
Classifications on the platform are not arbitrary thresholds on a single number. Each tier describes a different degree of factor alignment across multiple independent indicators. They are descriptive analytical labels — not investment recommendations of any kind.
Prime is the broadest alignment tier — positive RS across multiple timeframes simultaneously, with RSI, Supertrend signals, and moving average structure all confirming the same direction. It is the rarest classification because most of these conditions are met individually by many stocks, but having all of them aligned at once is far less common. Reading: the analytical profile shows the highest degree of multi-factor confirmation available in the framework.
Confirmed describes strong, broad alignment with most but not all factors at their highest reading. Reading: the analytical profile is consistent and multi-factor confirmed, though not every factor is at its peak level simultaneously.
RS Leader indicates that the primary relative strength reading is positive, but the full confirmation layer has not assembled across all factors. Reading: the stock is analytically outperforming the market on the primary measurement window. A developing profile.
Watch indicates conditions are moving toward greater alignment but have not yet reached the confirmation threshold. Reading: the analytical profile is improving. Not a signal to act — a prompt to monitor for further confirmation.
Avoid describes a clearly negative relative strength profile — the stock is underperforming the market on the primary timeframe, with weakness often confirmed across other factors. Reading: the analytical profile does not meet the framework's conditions for positive classification.
How sector strength is derived
Sector strength is not simply the average return of all stocks in a sector. It combines relative strength readings at the sector level and the stock level — against the broad market and against sector peers — together with momentum and trend data across the group.
Sectors where more member stocks are individually in positive analytical alignment will naturally rank higher than sectors where individual stock profiles are mixed or weak. The exact scoring is proprietary.
This is why a sector can appear to be "leading" even when its absolute return looks modest: what matters is how it is performing relative to the market, not relative to its own history.