1994issue C121-7
Price oscillator from two moving averages
A price oscillator is the difference between a shorter moving average and a longer moving average, plotted around a zero line. The archive maps zero-line crossings to buy and sell signals and shows how the lookback pair changes crossing frequency, lag, and later confirmation.
- A price oscillator is the points difference or percentage difference between a shorter moving average and a longer moving average, plotted so the longer average becomes the zero line.
- The mechanical rule treats a zero-line crossing from below to above as a buy signal and a crossing from above to below as a sell signal.
- Shorter lookback pairs raise crossing frequency and can produce whipsaws that brokerage commissions consume; longer pairs reduce those reversals but lag tops and bottoms.
- The archive presents the oscillator as one confirming tool inside a broader mechanical procedure, not as a complete standalone system.
Two averages become one oscillator
A price oscillator is constructed as a shorter-duration moving average minus a longer-duration moving average. Those two averages are the only inputs. The difference may be stated as a points difference or as a percentage difference of the longer average. The averages may be simple, weighted, exponential, or variable. The worked construction uses simple averages.
The zero line holds the overlay
Plotting the difference recasts the longer average as a zero line, so the shorter average appears above or below that line. Distance from zero and the crossing points are described as carrying the same information as the two averages overlaid on price. A moving-average crossover is the shorter average crossing the longer average, shown on the oscillator as a crossing of the zero line.
A fixed crossing rule
The mechanical rule tied to this construction treats a shorter-average crossing from below the zero line to above it as a buy signal and a crossing from above to below as a sell signal. A mechanical trading system maps those crossings into entry, exit, and abstention without discretionary overrides. In this archive workflow the oscillator remains one confirming tool inside a broader mechanical procedure, not a complete standalone system.
Lookback pairs change speed and lag
Lookbacks are chosen by security and decision horizon. Commodity applications typically use shorter increments than stock applications. Often-cited lookback pairs include 1 and 10 or 1 and 25 periods, 5 and 20 or 10 and 40 periods, and 50 and 200 periods.
Shorter lookbacks produce faster, more frequent zero-line crossings and can reverse so often in a narrow volatile range that brokerage commissions consume the moves being traded. That rapid opposite crossing is the whipsaw most common with short lookbacks. Longer lookbacks reduce that rapid reversal but lag tops and bottoms.
Illustrated crossings
On one illustrated daily series, the 1-and-25, 10-and-40, and 50-and-200 lookback pairs all produced a buy-side zero-line crossing in November 1993. The number of crossings fell as the lookbacks lengthened. The 50-and-200-day pair is treated as interchangeable with a 10-and-40-week pair.
On a second illustrated series, both a 10-and-40-day pair and a 50-and-200-day pair produced a buy-side crossing near the end of 1993, with more oscillation on the shorter pair during the February-to-May interval.
Confirmation is not automatic
The same construction can issue a sell only after a large decline is already underway. On a third series both the 10-and-40-day and 50-and-200-day versions produced signals that were largely opposite subsequent price movement, with the shorter pair often crossing after a significant move had already occurred.
One tool inside a larger procedure
The archive presents the oscillator as one confirming tool inside a broader mechanical procedure rather than as a complete standalone system. It states that no single mechanical trading tool is sufficient by itself.
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