2018issue C0636-39
One role each for wave, Fibonacci, and stochastic
A historical workflow asked Elliott wave for impulse versus correction, used Fibonacci proportions as end-of-wave targets, and admitted a stochastic-style oscillator only after two timeframes agreed. This archive article keeps those jobs separate so the tools do not cast overlapping votes.
- The opening task is impulse versus correction: classify a five-wave trend or a three-wave countertrend, then locate where price sits inside Elliott wave structure.
- End-of-wave targets come from repeating time and price proportions, including the Fibonacci retracement band of about one-third to two-thirds, or 38 percent to 62 percent.
- Dual-timeframe momentum requires higher-timeframe weekly direction and a shorter-timeframe reversal, and it is only the setup until pattern, price, and time also align.
- Planning used capital exposure from entry to stop, typically no more than 3 percent of account size, and rejected a preset reward multiple as not knowable in advance.
A staged decision stack
The archive combined time, price, and Elliott wave pattern with dynamic ratios, including Fibonacci ratios, to identify repeating end-of-wave time and price targets. Considering two or three timeframes was treated as essential to every trading decision, and Elliott wave degrees of trend were presented as a fractal form of that multi-timeframe requirement.
A multiple-timeframe momentum filter was added later, after years of using only time, price, and pattern, and then used as a primary filter in specific strategies.
Editorial interpretation: the durable lesson is a staged stack in which each tool has one job. Elliott wave structure answers impulse versus correction. Fibonacci retracement tests whether that structure has reached an end-of-wave target. A stochastic oscillator is admitted only after dual-timeframe momentum agrees, and even then it is not a substitute for pattern, price, and time.
Impulse versus correction comes first
The first Elliott wave task was to classify price as impulsive or corrective with basic five-wave and three-wave guidelines, then locate where the market sat inside that structure. Impulse versus correction is that opening question: whether price is advancing in a five-wave trend or a three-wave countertrend.
Elliott wave structure is a fractal count of fives and threes used to classify trend versus correction and to locate where the market sits inside that pattern. The archive presented those degrees of trend as a fractal form of the same requirement to read two or three timeframes.
End-of-wave targets from Fibonacci proportions
After the count, time, price, and pattern were still combined with dynamic ratios, including Fibonacci ratios, to identify repeating end-of-wave time and price targets. An end-of-wave target is a time-and-price zone taken from repeating proportions on completed Elliott wave segments and used to judge whether a swing is likely exhausted.
Corrections were described as about one-third to two-thirds of the prior trend, equivalently framed as 38 percent to 62 percent Fibonacci retracements. Fibonacci retracement is that proportional map of a prior swing, treated as the familiar one-third to two-thirds band, or 38 percent to 62 percent, where a correction may complete.
Higher-timeframe direction sets the trade
The higher timeframe set trend direction and the lower timeframe set execution. Higher-timeframe direction is the weekly or daily context that sets permitted trade direction before any lower-timeframe execution is planned.
Intended holds were at least three to five days and more often several weeks, rather than planned same-day exits. Editorial interpretation: the stack is built for a hold that can last several days to several weeks, so the weekly reading is not an optional overlay.
Dual-timeframe momentum is a later filter
The momentum tool was described as similar to a standard stochastic oscillator or RSI. The stochastic oscillator is a bounded momentum reading built from open-high-low-close data and used here for overbought and oversold swings across more than one timeframe.
At least two timeframes of that momentum had to be in sync before a trade was considered. Trade direction had to follow higher-timeframe weekly momentum, and a shorter-timeframe momentum reversal completed the dual-timeframe setup. Dual-timeframe momentum is a filter that requires a higher-timeframe oscillator trend and a lower-timeframe oscillator reversal to agree before a setup is treated as complete.
That filter was added later, after years of using only time, price, and pattern, and then used as a primary filter in specific strategies. Editorial interpretation: primary here means the oscillator can block a trade, not that it may override the structural questions.
Momentum is only the setup
Dual-timeframe momentum was only the setup. Pattern, price, and time also had to align, including a correction that had reached end-of-wave price and time targets.
Editorial interpretation: once weekly momentum and a shorter-timeframe reversal agree, the remaining checks are still impulse versus correction, location inside Elliott wave structure, and whether the correction has reached its end-of-wave target.
Capital exposure instead of a preset reward
Risk was defined as identifiable capital exposure, typically no more than 3 percent of account size from entry to stop. A preset reward multiple was rejected as not knowable in advance.
Capital exposure is the identifiable account cost if the stop is hit, used as the planning quantity instead of an assumed reward.
All readings on this track · 26 readings
- 1984Three-gate confirmation for wave, ratio, and cycle turns
- 1988Triaging Elliott wave counts with weekly stochastic divergences
- 1989Dominant-cycle phase flips as regime tests
- 1989Audit signals against elasticity regimes
- 1990When wave counts fail the exclusion test
- 1991Evaluating hourly DJIA growth-rate and velocity attractors
- 1996If a terminal fifth is rewritten, fail the first count
- 1998Mapping industrial-average swings with Fibonacci growth and retracements
- 1999Define the stop before the wave or the divergence
- 2001Form-first Elliott wave construction with phi
- 2006Wave count, channel floor, and Fibonacci bands after a correction
- 2007Impulse and correction as a recursive fractal recipe
- 2008Gold-silver ratio as a shoreline wave
- 2008A daily chart trend filter with Elliott wave abstention
- 2010Revising Elliott wave counts with RSI and stochastic guides
- 2010Constructing corrective-wave hypotheses with Fibonacci retracements
- 2011Pre-commit the wave-and-ratio stop before entry
- 2012Dated wave and ratio cases need a later-sample test
- 2013Keep a 1-2-3 count only while zigzag, Fibonacci depth, and divergence still agree
- 2014Elliott-wave target versus the option bid-ask
- 2014A three-layer classroom on one daily futures chart
- 2015Elliott wave classifies the swing; trend following holds the trade
- 2016Constructing wave labels and retracement zones from chart structure
- 2017Sector ETF pairs in quiet regimes
- 2017A policy-shift case that tested a delayed long-cycle wave count
- 2018One role each for wave, Fibonacci, and stochastic