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2012issue C058-11

Classic RSI one-over-N smoothing versus the standard exponential average

The classic relative-strength-index update weights the newest observation by 1/N, while the usual price exponential average uses 2/(N+1). Mapping those smoothing-constants onto one scale converts a stated period into an effective-period that can be compared with other averages.

  • The classic RSI update weights the newest observation by 1/N, while the usual price exponential average uses 2/(N+1).
  • Both weights equal 1 when N equals 1, and the family (1+C)/(N+C) keeps that one-bar boundary, with C = 0 for the classic RSI smoother and C = 1 for the usual price exponential average.
  • A classic RSI period of 14 is equivalent to a standard-exponential period of 27; a desired true period T is entered in the classic RSI formula as (T+1)/2.
  • A stochastic calculation and classic RSI at the same stated period can mix two different effective lookbacks.
Entries in this reading3 entries

One-over-N and two-over-N-plus-one

The relative-strength-index is an oscillator of averaged up and down price changes whose classic construction updates with a one-over-N weight instead of the two-over-N-plus-one weight common on price series. Exponential-smoothing is a recursive blend of the latest observation and the prior average, using a constant that must equal one when the stated period is one. The smoothing-constant is the weight placed on the newest observation in that exponential update.

The classic RSI update weights the newest observation by 1/N, while the usual price exponential average uses 2/(N+1). Both of those weights equal 1 when N equals 1, so a one-bar result equals the latest observation.

A family of weights with a one-bar boundary

A family of weights that keep that one-bar boundary has the form (1+C)/(N+C) for C = 0, 1, 2, and so on. The usual price exponential average corresponds to C = 1. The classic RSI smoother corresponds to C = 0.

A moving-average is a lookback smoother of ordered prices. A simple average of length N is the reference that the usual C-equals-one exponential form tracks most closely. For a fixed N, C = 1 produces an exponential average closer to an N-bar simple moving average than any other integer C.

Period-conversion for a true lookback

Period-conversion is a mapping that sets a classic RSI input to the desired true period plus one, then halves that sum, so the smoother's effective length matches a chosen standard period. The effective-period is the lookback implied after converting one smoother's weight into the period convention of another average.

A classic RSI period of 14 is equivalent to a standard-exponential period of 27, which is 14 times 2 minus 1. A desired true period T is obtained in the classic RSI formula by entering (T+1)/2. A true period of 21 therefore uses an input of 11.

When a stochastic calculation and classic RSI share a stated period

Applying a stochastic calculation and classic RSI at the same stated period can mix two different effective lookbacks, such as a stated 14 that is about 27 for the RSI smoother and 14 for the stochastic.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
36 of 41 in the Exponential smoothing track
201322-26 pp.Next on Exponential smoothingWhy exponential smoothing uses two over n plus oneAn exponential average of an unlimited ordered series uses weights alpha times (1-alpha) to the power of each observation age. Those weights lie between 0 and 1 and sum to 1.
All readings on this track · 41 readings
  1. 1984Matching average age across price filters
  2. 1984Residual-impact construction of exponential smoothers
  3. 1988Constructing simple and exponential moving averages as specified filters
  4. 1989Evaluating smoothed free reserves and funds-discount spreads
  5. 1990Integer construction of moving averages and exponential smoothing
  6. 1990Constructing incremental moving average filters
  7. 1991Constructing a double-smoothed stochastic oscillator
  8. 1991Constructing an exponential average from a smoothing weight
  9. 1991Constructing a double-smoothed momentum oscillator family
  10. 1991Competing certainty rules from exponential-average conditions
  11. 1991Hybrid construction of a mechanical timing system from smoothed signals
  12. 1991Constructing an exponential smoother from a moving-average length
  13. 1991Equivalent relative-strength-index constructions from a ratio and from smoothed momentum
  14. 1991Constructing the true strength index from double-smoothed momentum
  15. 1991True strength index from signed, double-smoothed momentum
  16. 1992Constructing exponential averages from simple lookbacks
  17. 1992Constructing exponential averages by the smoothing constant, startup length and lag
  18. 1992Nested range smoothing and windowed high-low damping
  19. 1992A weekly equity stance from the discount-bill spread
  20. 1993Double-smoothed stochastics momentum index construction
  21. 1993Constructing the true strength index with double exponential smoothing
  22. 1994Polarized fractal efficiency with a shared exponential smoother
  23. 1994Five-interval exponential smoothing of ten-interval signed path-efficiency
  24. 1994Hand-ranked price-volume series with stacked smoothing and stochastic
  25. 1995Range expansion filter on multi-horizon averages
  26. 1995The exponential smoothing constant from averaging lag
  27. 1997Construct a nested-average rainbow band and oscillator
  28. 1998Filter stacks that combine a moving average with exponential smoothing
  29. 2002Smoothed relative-strength construction from wilder-averaging and a price prefilter
  30. 2003Reverse-engineered RSI price targets
  31. 2004Piecewise trend quality from moving-average reversals
  32. 2004Nested smoothing recipes versus unaudited oscillator experiments
  33. 2008Weight construction beyond the N-day label
  34. 2010A consensus filter for objective RSI and smoothing construction
  35. 2012Sentiment-zone oscillator from signed closes
  36. 2012Classic RSI one-over-N smoothing versus the standard exponential average
  37. 2013Why exponential smoothing uses two over n plus one
  38. 2015Constructing ratio indicators with moving-average and exponential-smoothing weights
  39. 2015Slow relative-strength index from an exponentially smoothed price
  40. 2017Rebuilding the relative strength index as open-scale buy-sell pressure
  41. 2017Comparing Wilder and exponential smoothing inside a relative-strength index
All 183 readings tagged Exponential smoothing
Also on Exponential smoothing5 readings