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1993issue C071-8

Relative strength index events depend on the chosen input combination

A conventional relative strength index compares a market's own upward and downward closes over a stated lookback and is read between 0 and 100. Editorial reading: 30 and 70 events and price-indicator mismatches belong to a specific mix of lookback memory, moving-average smoother, input series, and sampling interval, so a chart reading is incomplete until that set is specified and a slower timeframe is used as a veto.

  • A conventional relative strength index compares average upward closes with average downward closes over a stated lookback, commonly 14 periods, and stays bounded between 0 and 100.
  • Carry-forward averages, recent-window recalculation, and the choice of a simple or exponentially smoothed moving average change how often the oscillator crosses 30 and 70.
  • Volume, average-price substitutes, and a two-day price span change the shape of the line, and average-price inputs can still print false bullish divergences in a decline.
  • Editorial reading: treat 30 and 70 crossings and price-indicator mismatches as properties of the full input set, then use a weekly direction filter before accepting a daily chart condition.
Entries in this reading3 entries

What a conventional relative strength index compares

A conventional relative strength index compares a market's own upward and downward closes over a defined lookback, most often 14 periods. It is read as a momentum oscillator bounded between 0 and 100.

How the lookback remembers price

After the first lookback window, the original averaging method carries the prior up-average and down-average forward, so both series keep a numeric value even on a session with no up close or no down close. Recalculating the oscillator from only the most recent 14 sessions, rather than from those carried-forward averages, is presented as a way to keep the reading on current data.

On a historical S&P 500 chart, the original 14-period oscillator produced fewer 30-up crossings and fewer 70-down crossings than a recent-window simple-average version of the same lookback. Replacing that simple recent-window average with an exponentially smoothed moving average also increased the number of 70 and 30 crossings relative to the original oscillator during a sideways range on the same series.

14-day RSI on December 1992 S&P 500: latest-window average versus Wilder

In the March–December 1992 S&P 500 futures market the Morris formula, which averages only the latest 14 closes, tags the 30 and 70 lines again and again, while Wilder's original 14-day RSI stays roughly between 35 and 70 and almost never prints an overbought or oversold event. The traces were read from the printed Figure 1 panes (Wilder on top, F-RSI SMA in the middle), not from a table, so turning points are approximate.
In the March–December 1992 S&P 500 futures market the Morris formula, which averages only the latest 14 closes, tags the 30 and 70 lines again and again, while Wilder's original 14-day RSI stays roughly between 35 and 70 and almost never prints an overbought or oversold event. The traces were read from the printed Figure 1 panes (Wilder on top, F-RSI SMA in the middle), not from a table, so turning points are approximate.S&P 500 December 1992 futures · daily · 1992-03-04T00:00:00.000Z to 1992-12-17T00:00:00.000Z

Wilder carries the prior up/down average forward; the F-RSI SMA recalculates a simple average on only the most recent 14 daily closes. Horizontal lines are the 70/30 bands used in the article. Raster resolution supports roughly a few RSI points, not tenths.

Volume, average price, and a two-day span

Adding volume to the modified oscillator is described as a way to reflect whether activity is entering or leaving a market. On a historical Treasury bond series, the volume-inclusive line marked bottoms more distinctly than the original oscillator.

Substituting an average price for the close, whether the high-low mean, the three-price mean, or the four-price mean, produced little difference among those averages. On General Motors, the high-low mean still produced false bullish divergences during a decline.

Pairing the current close with the prior session's open spans two days of price action. On historical Treasury bonds, that two-day price span produced a smoother oscillator line than the close-only original.

Overlay checks and a weekly direction filter

Overlaying the two-day variation on the original oscillator showed a recurring configuration in which the two-day line standing above the original line coincided with topping or downward-trend conditions. A later drop of the two-day line through 30 coincided with the end of a correction on the illustrated equity chart.

Because both the original oscillator and the variants are scaled from 0 to 100, they can print false divergences in trends. Applying the same 14-period exponentially smoothed variant on weekly bars as a direction filter reduced daily whipsaw and false divergences on the NYSE in a historical sample, including a stretch when daily readings crossed 70 while the weekly line stayed up.

Editorial reading: a daily 30 or 70 event, or a mismatch between a price extreme and an oscillator extreme, is a property of the chosen lookback memory, smoother, input series, and sampling interval. Specify that set before treating the chart condition as a complete reading, and use the weekly sampling of the same oscillator to accept or reject the daily case.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
5 of 16 in the Price-indicator divergence track
19951-7 pp.Next on Price-indicator divergenceConstructing a dual-horizon force indexThe force series combines close-to-close direction, move size, and session volume, so a large move on heavy volume produces a larger reading than the same move on light volume.
All readings on this track · 16 readings
  1. 1989Volume confirmation windows and exponential average construction
  2. 1990Constructing stochastic %K and %D from range position
  3. 1990Build a weekly leading sector composite from scaled transports and financials
  4. 1990Constructing stochastic K and D lines and divergence cues
  5. 1993Relative strength index events depend on the chosen input combination
  6. 1995Constructing a dual-horizon force index
  7. 1996Building a range-normalized divergence index from relative strength index
  8. 1998Treat RSI as a testable filter rather than a trigger
  9. 1999Primary-cycle windows, then stochastic confirmation
  10. 1999Stochastic rules versus buy and hold
  11. 2001Constructing confirmation filters for RSI overbought and oversold extremes
  12. 2003Constructing divergence-equivalent relative strength index and stochastic oscillators
  13. 2003Reverse-engineered RSI as a next-close projection
  14. 2003Scoring open versus resolved relative strength divergences
  15. 2003Bull-and-bear-balance from OHLC bar patterns
  16. 2003Constructing bull and bear balance from session paths
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