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2015issue C1345

Relative Strength Index as a baseline in 2015 software listings

A 2015 industry software survey included a Relative Strength Index product among its ten most-viewed listings. This archive article treats that most-viewed listing as a classroom inventory of implementations. As an editorial matter, it then asks readers to write a quantitative baseline and an out-of-sample check rather than treat click rank as a quality forecast.

  • A 2015 most-viewed listing included a Relative Strength Index product, and the rank was assembled from click counts rather than from an editorial quality rating.
  • Resellers could appear in the listing, so a named product was not always attributed to its original developer.
  • Readers were described as needing software that could compute a custom indicator formula and produce a candidate screen from chosen technical indicators.
  • Editorial interpretation: write an explicit quantitative baseline with a defined lookback and compare it with an out-of-sample result, instead of reading click rank as a quality forecast.
Entries in this reading1 entry
Current trackRelative Strength Index261 readings

What the 2015 listing recorded

A 2015 industry software survey included a Relative Strength Index product among its ten most-viewed listings. The most-viewed ranking was assembled from click counts rather than from an editorial quality rating.

Resellers could appear in the listing, so a named product was not always attributed to its original developer. Vendor-submitted listing details were stated as accurate only at posting time and subject to later change.

A classroom inventory of implementations

Available packages were presented as spanning different capabilities, methodologies, and price ranges for different trading styles. Deployment choices included local hard-drive installation and internet-dependent interactive analysis.

Readers were described as needing software that could compute a custom indicator formula and rank or screen candidates from chosen technical indicators. In this archive setting that pair of needs is a custom indicator formula and a candidate screen: user-written logic that turns an ordered price, volume, or breadth series into a named technical output, and a ranked list of instruments produced by applying one or more technical indicators to a chosen universe.

Editorial: a quantitative baseline, not a click rank

The following remarks are editorial interpretation by TradersWeek. They are not claims from the archive listing.

Relative Strength Index is treated here as a quantitative oscillator computed from ordered price observations over a defined lookback. The lookback is the fixed sampling window over which the oscillator is computed before any comparison is made.

Editorial guidance is to write a quantitative baseline first: an explicit, documented indicator rule set against which a later out-of-sample result can be compared. Use the listing only as an inventory of how packages could compute that oscillator, host a custom indicator formula, or build a candidate screen. Do not treat the most-viewed listing as a quality forecast.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
25 of 26 in the Relative Strength Index track
201848-56 pp.Next on Relative Strength IndexBuilding a Fisherized deviation-scaled oscillatorThe oscillator is assembled in order: form a two-bar price difference, apply a Super Smoother, rescale by a lookback root-mean-square, then apply a Fisher transform when the scaled value stays inside an absolute bound of 2.
All readings on this track · 26 readings
  1. 1991Constructing the relative strength index from seed and recursive averages
  2. 1991Inverting relative-strength-index closes for same-session rules
  3. 1991Seeded averages and the recursive-update
  4. 1993Restating relative-strength-index parameters after a smoothing change
  5. 1993Relative momentum construction by stretching the relative strength lookback
  6. 1994Constructing relative strength index lookbacks, bands, and confirmation filters
  7. 1994Building the relative-strength-index from signed close changes
  8. 1997Constructing the relative strength index as a bounded up-down close oscillator
  9. 2002Four-line oscillator construction for rule-based entries
  10. 2004Assembling a bounded RSI path
  11. 2004Constructing RSI on highs, lows, and reverse targets
  12. 2004Reverse-engineered RSI as an explicit next-bar price target
  13. 2006Self-adjusting RSI thresholds from the oscillator's own spread
  14. 2006Constructing adaptive overbought and oversold levels for a relative strength index
  15. 2006Relative Strength Index 50-line entry beyond the 70 and 30 extremes
  16. 2007Lock a followable rule set before testing RSI exits
  17. 2008RSI bands as a one-day shift of reverse-engineered levels
  18. 2008Constructing an asymmetrical RSI from adaptive up and down averages
  19. 2010Building a bounded oscillator from a rainbow smoother, relative strength, and inverse Fisher
  20. 2011Two-horizon weekly RSI with moving averages and stops
  21. 2011Percent-offset simple moving average bands with relative-strength confirmation
  22. 2011Fast and slow relative strength index as one mechanical rule book
  23. 2011Price-zone oscillator construction from signed closes
  24. 2015Constructing a zero-lag oscillator against a relative strength index baseline
  25. 2015Relative Strength Index as a baseline in 2015 software listings
  26. 2018Building a Fisherized deviation-scaled oscillator
By fieldIndicators and filters874 readingsBy year2015181 readings
All 261 readings tagged Relative Strength Index
Also on Relative Strength Index5 readings
1985Session windows, volume weights, and divergence in RSI construction1986Constructing bounded relative-strength overlays from oscillator limits1987Constructing the commodity channel, average directional, and relative strength indexes on a shared cycle scale1987Constructing scaled OHLC matrices for study overlays1987Evaluating silver moving averages and RSI by scoring rule