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2010issue C1038-44

Sharpened RSI turns with rainbow averages and a slow stochastic

A historical stack first rainbow-smooths the close, remaps relative strength index so the mid-band becomes a steep flip, then uses a slower stochastic as the medium-term veto on whether that flip is still a continuation add or already an exit.

  • Closing prices pass through ten nested two-period weighted moving averages and a weighted blend over 20 before relative strength index is computed on that rainbow-style smoother, not on the raw close.
  • Inverse mapping first rescales RSI into a roughly -5 to +5 input, then compresses it toward -1 to +1 so the 40-to-60 transition plots as a sharp swing and outer readings pile up near the edges.
  • The remapped RSI is meant to mark short-term turning points. It is not a standalone automatic rule set and is not expected to tag 0 and 100 on every swing.
  • In the illustrated stack, a climb through 12 is a candidate long only when the slower stochastic is lifting off a low. A later upturn is a continuation add only when that stochastic is still rising and not yet extended, and a short-term RSI variant prints a hidden divergence.
Entries in this reading3 entries

Three jobs in one stack

Relative strength index is a 0-100 oscillator of recent up versus down closes, here remapped so the mid-band becomes a steep flip. The stochastic oscillator is a slower 0-100 oscillator of close location inside a lookback range, used as the medium-term veto. A moving average is a weighted or exponential average of price or of a remapped RSI, including nested rainbow stacks and a two-pass zero-lag construction.

The archive workflow first changes the price that RSI sees, then remaps the oscillator, then reads that remapped line against a slower stochastic. It does not treat any one of those steps as a complete rule set.

Inverse mapping of RSI

An inverse mapping of RSI first rescales the 0-100 oscillator into a roughly -5 to +5 input with x = 0.1 × (RSI − 50), then compresses that input into a -1 to +1 output so values beyond about 2 or −2 sit near the outer bounds. Inverse mapping is that bounded transform: outer RSI readings pile up near the edges.

After that mapping, original RSI readings above 60 occupy about the top 12% of the display range and readings below 40 occupy the bottom 12%, so the 40-to-60 transition plots as a sharp swing. The output can be stretched back to 0-100 with 50 × (y + 1).

Inverse Fisher remapping of RSI

The 40–60 midrange is stretched into a 12-to-88 cliff, so a modest RSI turn becomes a hard flip, while anything beyond 70 or 30 is pinned to the 0 and 100 rails. The points are the conversion table printed as Figure 2, not a traced curve.
The 40–60 midrange is stretched into a 12-to-88 cliff, so a modest RSI turn becomes a hard flip, while anything beyond 70 or 30 is pinned to the 0 and 100 rails. The points are the conversion table printed as Figure 2, not a traced curve.

RSI is first scaled as x = 0.1 × (RSI − 50) so the inverse Fisher formula sees a −5 to +5 input; the table then restores a 0–100 scale with 50 × (y + 1).

Rainbow averages only pre-smooth the input

Closing prices are first passed through ten nested two-period weighted moving averages, then blended with weights 5, 4, 3, 2, 1, 1, 1, 1, 1, 1 over 20, so the RSI is computed on that rainbow-style smoother rather than on the raw close.

Separately, a nine-day weighted moving average applied to an inverse-mapped five-day RSI is shown as a smoother line whose rise through 27 and drop through 73 are treated as clearer long and short marks than the raw RSI.

A zero-lag pair before the mapping

A second exponential moving average of the remapped RSI is subtracted from the first and added back to form a zero-lag input to the inverse mapping. Both the RSI lookback and that exponential length default to 4. A zero-lag average is that pair of exponential averages of the same length whose difference is added back before the inverse mapping.

How the illustrated stack is read

The illustrated combination places a short-term RSI variant and a slow 50-period stochastic with three-period slowing above an inverse-mapped RSI that itself uses a four-period lookback and a four-period zero-lag exponential average.

In that stack, a climb of the inverse-mapped RSI through 12 is treated as a candidate long mark when the stochastic is lifting off a low, while a later break down through 88 is treated as an exit candidate when the stochastic is extended and turning down.

A later upturn of the inverse-mapped RSI is treated as a continuation add only when the slower stochastic is still rising and not yet in its extended zone, and when a short-term RSI variant prints a hidden divergence of higher price lows against lower oscillator lows.

What the remapped RSI is not asked to do

The remapped RSI is not presented as a standalone automatic rule set and is not expected to tag 0 and 100 on every swing. It is meant to mark short-term turning points that still need other oscillators.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
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All readings on this track · 42 readings
  1. 1987Stochastic fast and slow construction as a rebuildable stack
  2. 1989Building the stochastic oscillator from close location
  3. 1990Monthly stochastics as a multi-year bond regime filter
  4. 1990Walk-forward screen for yen indicator rules
  5. 1990Slow stochastic construction for index pullback entries
  6. 1991Random Walk Index construction with an adaptive lookback
  7. 1991Building a two-stage stochastic oscillator from close location
  8. 1992Constructing fast and slow stochastic oscillator lines
  9. 1992Constructing nested stochastic lookbacks
  10. 1994Construct the four-state price-volume rank before filtering it
  11. 1996Crowded stochastics, false breakouts, and hidden stops
  12. 1997Fade and follow entries from stochastic extremes
  13. 1998Oversold confirmation as a staged rule-based-entry case
  14. 1999Constructing regular and slow stochastic oscillators
  15. 2001Construct a variable-interval simple moving average from stacked extremes
  16. 2001Threshold RSI and stochastic setups with next-bar stops
  17. 2001Two tests of a rate-adjusted earnings-yield gap
  18. 2002Constructing a two-line stochastic from a range-normalized close
  19. 2002Inspect mechanical stochastic daytrade rules on one bar
  20. 2003Constructing an adaptive stochastic RSI
  21. 2003Four parameters that construct a stochastic oscillator
  22. 2004Volume breakout as signal, pullback as entry
  23. 2004A first currency-market checklist with two averages and a slow stochastic
  24. 2005Shared-scale cycle indexes with companion oscillators
  25. 2005Current-bar versus prior-bar range construction for the stochastic oscillator
  26. 2005Two-session moving-average pullback short
  27. 2006Market condition as a permission layer for moving averages and oscillators
  28. 2008Lock the stop at support before sizing a stochastic entry
  29. 2010Construct a center-line volume oscillator and read it with a stochastic oscillator
  30. 2010Sharpened RSI turns with rainbow averages and a slow stochastic
  31. 2011Build a Spearman rank oscillator from ordered closes
  32. 2012Gold as a regime-dependent hedge in the euro-area crisis
  33. 2012Pairing moving averages with variable-length stochastics
  34. 2014Two-leg stochastic stress oscillator as a rebuild drill
  35. 2014Ingress dates as price bases for relative strength, stochastics, and moving averages
  36. 2017Constructing a dual EMA stochastic from range normalization
  37. 2018Constructing a two-stage stochastic RSI for comparable price-oscillator divergences
  38. 2018Combining a weekly stochastic, a long moving average, and two-day resistance
  39. 2018Weekly and daily stochastic readings with a long moving average and support
  40. 2018A confirming workflow for rotating from discretionary to staples
  41. 2019Stochastic scan thresholds, averages, and formula syntax
  42. 2020Constructing Slow %K as a two-stage helper
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