2007issue C031-10
Lead-series moving-average crossovers with a stochastic and relative strength index
Two unequal simple moving averages can be inverted into a lead series so a close that intersects that series is a predicted cross and the later change of order is confirmation. This archive article isolates that implied lead and asks, as an editorial question, whether running the same lead on a stochastic oscillator and reading relative strength index as a second oscillator clock changes when the hypothesis is allowed to fire.
- Two unequal simple moving averages invert into a lead series: a close that meets the lead series is a predicted cross, and the later change of order is the confirmed cross.
- Each bar can be labelled unlikely, probable soon, expected on the next bar, or already confirmed by comparing the lead series with the close and with an unlikely band built from long-lookback one-bar rate-of-change extremes.
- The same lead-and-confirm steps can run on a stochastic oscillator so the forecast is an oscillator-versus-lead intersection and confirmation is the later cross of two averages of that stochastic.
- Crossover anticipation is meant to sit with a slow stochastic and with relative strength index, not to replace those oscillators.
Inverting two averages into a lead series
A moving-average crossover is a signal formed when a shorter simple moving average and a longer simple moving average change order. The archive workflow inverts those two unequal averages into a lead series: the one-bar-ahead close implied by the pair, used to time a predicted cross.
A predicted cross is the bar when price or an oscillator first intersects the lead series. A confirmed cross is the later bar when the two moving averages themselves change order.
Implementations default the shorter average and the longer average on both price and oscillator series, so the same lengths are used whether the lead series is built from price or from an oscillator.
Classifying each bar
Each bar can be classified as unlikely, probable soon, expected on the next bar, or already confirmed. The class depends on where the lead series sits versus the close and versus bands built from recent one-bar rate-of-change extremes.
The unlikely band is a zone around the close built from a long lookback of one-period rate-of-change extremes, scaled into coefficients around the close. A lead series outside those coefficients is treated as an implausible cross.
A probable-soon state requires four conditions at once: the lead series sits inside the likely band, there is no current prediction or confirmation, more than a short span of bars has passed since the last confirmed cross, and a signed comparison of the lead series with the close is in place.
The same construction on a stochastic
The same lead-and-confirm construction can be applied to a stochastic oscillator. That oscillator is bounded: it locates the close inside a lookback high-low range and then smooths that location. The forecast then becomes a stochastic-versus-lead intersection, and confirmation is the later cross of two moving averages of that stochastic.
Relative strength index is a bounded oscillator of average up versus down closes over a defined lookback. In the archive workflow, crossover anticipation is usable together with a slow stochastic and with relative strength index rather than as a standalone replacement for those oscillators.
Scoring predictions and a universe composite
Prediction tallies are scored by whether confirmation arrives on the same bar, after a short delay, or not within a short window.
A universe composite is a daily tally of how many names in a defined list show a prediction or a confirmed cross. In the archive workflow, those composite counts showed the prediction series leading the confirmed-cross series, and that lead was treated as a market-wide property.
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