1991issue C021-4
Filtered rally magnitude as a bull-regime breakout
A historical count discarded every move smaller than 5 percent, then compared remaining rallies with the first upswing of each following rising market. Editorial reading: use that contrast as a two-filter magnitude-confirmation, a breakout from the typical declining-regime-rally.
- A filtered-swing is counted only after it exceeds a stated minimum percentage, so smaller fluctuations cannot mint a signal.
- In the historical declining-market sample, most filtered rallies stayed small. First-rising-swings were typically much larger.
- Magnitude-confirmation treats an unusually large advance from the latest-low-base as a breakout from the declining-regime-rally profile.
- Editorial reading: once that breakout is stated, trend-following and momentum rules can be tested as one confirmation sequence.
Two filters for regime detection
Editorial framing: treat regime detection as a two-filter procedure. First discard every swing below a stated percentage so chart noise cannot mint a signal. Then read an outsized advance from the latest-low-base as magnitude-confirmation, a breakout-style test that the move has left the typical declining-regime-rally profile.
Once that confirmation is stated, trend-following and momentum rules can be tested as one sequence rather than as separate chart opinions. That use is editorial. The archive reports a historical classification of rallies, not a trading procedure.
What the archive counted
The historical comparison spanned 19 declining markets. It ignored every move smaller than 5 percent, then contrasted the remaining rallies with the first upswing of each following rising market.
A filtered-swing is a directional price move counted only after it exceeds that minimum percentage. The latest-low-base is the trough at which a suspected advance begins and from which the percentage rise is measured.
Typical size of each sample
In the declining-market sample, 61.3 percent of filtered rallies rose only 5 to 10 percent, and the median rise was 8.2 percent. Those advances are declining-regime-rallies: they occur inside a falling market and are later ended by a qualifying decline.
In the first-upswing sample, only 5.3 percent of advances stayed between 5 and 10 percent, and the median rise was 22.5 percent. A first-rising-swing is the opening advance of a new rising regime, measured from the low where that rise starts.
Thresholds that shift the count
After a 20 percent rise was halted by a decline of at least 5 percent, 10 of 19 such advances were still declining-regime-rallies and 9 were first-rising-swings. A halt-decline is a subsequent drop large enough to mark the end of a counted rally after still-smaller pullbacks are ignored.
A 21 percent rise left only 4 declining-regime-rallies in the sample against 9 first-rising-swings. The same sample placed a 23 percent rise at three-to-one in favor of a new rising market.
In that historical count, a 28 percent rise from the low left the advance almost entirely on the new-rising-market side of the sample.
Bear-rally vs first-bull-swing counts once a rise clears each filter

Moves smaller than 5 percent were discarded before the count. The 28 percent rise is measured from the most recent low on the Dow Jones Industrials, not from the prior bull-market high.
How the 28 percent rise was measured
The 28 percent threshold was the percentage advance of an industrial-stock average above the most recent low at which the rise began. The counted advance could include modest interim setbacks so long as the average later reached 28 percent above that low.
Editorial reading: in this sample, the 28 percent mark is the clearest magnitude-confirmation level. It does not convert the count into a live trading rule.
All readings on this track · 51 readings
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- 1989Smoothed three-day futures filter for index option bounces
- 1989Cycle-length windows for momentum, Relative Strength Index, and stochastic construction
- 1991Filtered rally magnitude as a bull-regime breakout
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- 1993Constructing double-smoothed range and momentum oscillators
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- 1993Constructing a relative momentum index from the relative strength index
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- 1994Averaging Relative Strength Index and the stochastic oscillator into one reversal oscillator
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- 1998Nested midpoint construction for a range-normalized oscillator
- 1999Evaluating Relative Strength Index momentum with zero-line and threshold rules
- 1999Treat RSI and momentum as three mechanical procedures
- 2000Thrust strength figure from moving-average swings
- 2001Constructing a non-range-bound balance of market power score
- 2004Cleaned breadth oscillator and new-high divergence: a swing-market case file
- 2004Evaluating advance-issues-momentum on a fixed-symbol-basket
- 2004Constructing a trend filter from two adjacent high-low windows
- 2006A dollar-versus-commodity extreme as a regime case
- 2008Zero-centered stochastic bands and bracket stops
- 2012Evaluating engulfing momentum across hold windows
- 2012Staged stops as one mechanical entry and exit procedure
- 2012Stacking a relative-strength-index forecast, a trend filter, and long-only momentum
- 2013Constructing fair-value filters from averages and momentum
- 2014Constructing a multi-window slope divergence entry
- 2015Bandedge trend filter construction with inverse crossover rules
- 2017Opposite rules for index price and volatility momentum
- 2018A three-state overlay that colors a trend only after the line clears the bar
- 2018Half-cycle relative-strength index with a Fisher map for cyclic reversals
- 2018Emotion as a rule input when momentum breaks
- 2018Two-bar body expansion as a momentum breakout construction
- 2019Pair a two-day high breakout with a volume-weighted exit on the same chart
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- 2020Multi-timeframe stochastic voting as one mechanical rule