2005issue C021-4
Three-layer confirmation from a moving-average cross, candles, and Q-stick
A golden-cross or dead-cross can name a trend hypothesis, but a raw moving-average cross still leaves timing open. This archive workflow adds a confirming-candlestick to mark a shift in control, then uses Q-stick positive-negative-divergence to ask whether intraperiod conviction already disagrees with price.
- A golden-cross or dead-cross labels the trend hypothesis, and the same crossover logic is described as usable on weekly and daily charts across different average-length pairs.
- A raw cross still leaves timing open: after the cross, before a still-pending cross, and whether entry uses a stop-based price or the next open.
- A confirming-candlestick near the cross marks a shift in bull-versus-bear control and may appear a few days before the averages cross.
- Once the cross and candle already supply a signal, Q-stick is used for positive-negative-divergence, not as a second crossover engine.
A three-tool confirmation stack
The archive presents a three-layer confirmation workflow. A moving-average cross supplies a golden-cross or dead-cross trend label. Candlesticks are added near that cross to mark a shift in bull-versus-bear control. Q-stick is then used mainly for positive-negative-divergence once the first two layers already supply a signal.
Golden-cross and dead-cross as the trend label
Japanese dual-average practice treats a shorter average crossing above a longer one as a golden-cross and a shorter average crossing below a longer one as a dead-cross. The same crossover idea is described as usable on both weekly and daily charts, with the embedded momentum logic remaining consistent across different average-length pairs.
The working implementation uses 13- and 26-period exponential moving averages.
The timing gap a raw cross leaves open
A stated weakness of a raw cross is timing: after the cross, before a still-pending cross, and whether entry should use a stop-based price or the next open.
Confirming-candlestick as the control check
Candlesticks are added near the cross to mark a shift in bull-versus-bear control. The confirming-candlestick may appear a few days before the averages actually cross.
Q-stick as conviction, then divergence
Q-stick is defined as a moving average of close-minus-open intraperiod momentum, quantifying the open-to-close range treated as the core candlestick element. An eight-period Q-stick average is the original prescription used here. Other lengths are noted as optional experiments.
Once the cross and candle already supply a signal, Q-stick is used mainly for positive-negative-divergence that marks a more reversal-friendly setting. It is not used here as a second crossover engine.
Complementary tools and a reversible stack
The three tools are described as complementary rather than redundant. The cross lags as a trend label. Candles anticipate the shift in control. Q-stick is still more anticipatory for potential tops and bottoms.
The stack order can be reversed. Q-stick divergences may screen first, candles may time entry, and the moving-average cross may be demoted to confirmation.
A top-down-watchlist
The working implementation applies the trio first to a short sector list, then to individual names. That top-down-watchlist starts with the short sector list and then drills into component names that share the same three-tool setup.
All readings on this track · 57 readings
- 1988Constructing moving averages: weights, smoothing and crossovers
- 1988Constructing breadth and average trend states
- 1989Evaluating an always-in-the-market moving-average crossover
- 1989Constructing symmetric market-breadth ratio accumulators
- 1989Objective crossover tests of Fibonacci wave ratios
- 1990Volume-adjusted moving average construction
- 1991Constructing a mechanical crossover on a synthetic price series
- 1991A two-speed breadth reading for intermediate market direction
- 1992A Deutschemark yield map with dual-average and relative-strength timing
- 1992Confirming currency-fund trends with a crossover and a filter
- 1992A moving-average slope filter for crossover signals
- 1992Occupancy and split-sample tests for average crossovers
- 1994Gold-mining seasonality and bond-fund duration switching
- 1994Price oscillator from two moving averages
- 1995Explicit exponential weights and binary entry filters
- 1996Currency futures crossover with slope, bond filter, and stop
- 1996Two-market average crossover entry with a fixed stop
- 1997Construction of a filtered three-average crossover
- 1998Two-group exponential average compression as a trend filter
- 1998Constructing r-squared trend filters with dual lookbacks
- 1998Moving-average length is a habit, not a secret
- 1999Solving the close that triggers a moving-average crossover
- 2000Kagi yang and yin control versus crossover noise
- 2000Constructing simple moving average crossover filters
- 2000Building a vertical-horizontal filter to gate trend signals
- 2000Two-average crossover as a check on trend following
- 2003Stacked exponential-average retracement entries and extreme stops
- 2003Evaluating oscillator thresholds against optimized crossovers
- 2004Constructing a semicycle trend-quality filter
- 2004Commodity subgroups labeled by crossover, support, or convergence
- 2004Full-window evaluation of crossover trend systems
- 2004Two-average trend filters as a classroom critique of indicator stacking
- 2005Three-layer confirmation from a moving-average cross, candles, and Q-stick
- 2005Charting put prices beside an equity breakdown
- 2005Range-gated moving-average crossover construction
- 2007Anticipating a simple-average crossover with a threshold-close
- 2007Anticipating moving-average crossovers one bar ahead
- 2007Lead-series moving-average crossovers with a stochastic and relative strength index
- 2007Next-bar SMA crossover hypotheses from theoretical crossing values
- 2007Anticipating a moving-average crossover before confirmation
- 2007A three-horizon moving-average stack as a construction problem
- 2007Confirming trend with regression slope and r-squared
- 2008Constructing a multi-timeframe smoothed crossover
- 2008Best-day clusters versus trend filters
- 2008Allied markets as a confirmation gate for crossover and breakout signals
- 2008Weekly exponential-average crossover as a mechanical trend case study
- 2010Evaluating a 200-day crossover as long, short, and stand-aside rules
- 2010Read a 10-and-40 trend on two neighboring time frames
- 2012Sampling unit as a first-class parameter on dual simple moving averages
- 2012Constructing index-ETF entries from volatility-index persistence
- 2013Moving-average baselines versus crossover signals
- 2013Constructing a typical-price and heikin-ashi crossover as one mechanical procedure
- 2016A three-gate checklist for longs after a sharp drop
- 2016Weekly inflation-ratio crossover for commodity regimes
- 2017Normalized Laguerre zero-axis warning as a two-marker construction
- 2019Range-weighted construction of an adaptive exponential moving average
- 2020Construct a second-pullback entry after a moving-average crossover