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2004issue C061-2

Commodity subgroups labeled by crossover, support, or convergence

A production-weighted commodity index can be read through precious-metals, energy, agriculture, and livestock subgroup charts that share weekly 50-day and 200-day simple moving averages. TradersWeek editorial reading tags each sheet by whether the short average crossed the long average, only acted as support, or merely converged, so a bullish hypothesis is not inferred from a price surge alone.

  • A production-weighted commodity index can be reviewed through precious-metals, energy, agriculture, and livestock subgroups on weekly charts that use both 50-day and 200-day simple moving averages.
  • Energies and agriculture recorded a 50-day average crossing above the 200-day average in late 2003, while precious metals were described through repeated 50-day support tests after a late-spring-2003 dip below the 200-day average.
  • Livestock showed August 2003 average convergence without a 50-over-200 cross, then a sharp December 2003 correction that left price below the 200-day average, and is recorded as not a confirmed moving-average-crossover breakout.
  • TradersWeek editorial practice is to keep those three labels separate so a bullish chart hypothesis stays falsifiable.
Entries in this reading3 entries

One worksheet for four commodity subgroups

A production-weighted commodity index is a benchmark that weights constituent commodity prices by recent world output so subgroup charts can be compared on a common production scale. That benchmark can be reviewed through commodity subgroups that separately cover precious metals, energies, agriculture, and livestock.

The weekly subgroup charts in the review used both a 50-day short simple moving average and a 200-day long simple moving average.

Precious metals as a support-test sequence

After a late-spring-2003 dip below its 200-day long simple moving average, the precious-metals subgroup advanced. From autumn 2003 the 50-day short simple moving average repeatedly acted as support even though price often slipped beneath it.

TradersWeek editorial label: that sequence is a moving-average support test, meaning a pullback that finds the short average underneath price after an advance, without requiring a new cross of the long average.

Energies and agriculture recorded a short-over-long cross

The energies subgroup's autumn-2003 rise followed a sideways spring-2003 correction after a February 2003 collapse, and in December the 50-day short simple moving average crossed above the 200-day long simple moving average.

The agriculture subgroup left a 10-month correction in summer 2003, reached multiyear highs by the first month of 2004, and showed a 50-day average crossing above the 200-day average in autumn 2003, aside from a brief December 2003 pullback.

TradersWeek editorial label: both sheets record a moving-average crossover, a condition in which the short average crosses the long average, treated as a distinct, checkable signal rather than as a synonym for any rally.

Livestock as convergence without a confirmed breakout

Livestock exited a sideways range that had run from November 2002 into early autumn 2003 after the 50-day and 200-day averages converged in August 2003 without a 50-over-200 cross, then corrected sharply by December 2003 and remained below the 200-day long simple moving average.

The livestock sequence is recorded as a case where average convergence and a later price surge did not constitute a confirmed moving-average-crossover breakout. Average convergence without a cross is a tightening of the short and long averages that stops short of a crossover and therefore does not confirm a breakout hypothesis. Breakout confirmation is a repeatable chart event, such as a short-average cross above a long average or a close above a defined range, used to accept or reject a directional trade hypothesis.

GSCI precious metals with 50-day support and 200-day trend

Precious metals kept climbing after a brief spring-2003 slip under the 200-day average; from autumn 2003 the 50-day line repeatedly caught pullbacks instead of rolling over, so the advance is a support-test sequence rather than a late crossover. Figures were read from the published TradeStation $GPX daily pane: the last close is the printed 559.04 and the two averages are the printed 545.24 and 497.20; earlier points were taken off the plotted curves.
Precious metals kept climbing after a brief spring-2003 slip under the 200-day average; from autumn 2003 the 50-day line repeatedly caught pullbacks instead of rolling over, so the advance is a support-test sequence rather than a late crossover. Figures were read from the published TradeStation $GPX daily pane: the last close is the printed 559.04 and the two averages are the printed 545.24 and 497.20; earlier points were taken off the plotted curves.$GPX · Daily · 2002-05-01T00:00:00.000Z to 2004-02-29T00:00:00.000Z

The article calls the figures weekly; the pane header is daily. Green is the 50-day simple moving average and red is the 200-day. Intermediate readings are digitized from the raster and are only reliable to about two index points; solely the final close and the two right-edge average labels are exact printouts.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
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All readings on this track · 57 readings
  1. 1988Constructing moving averages: weights, smoothing and crossovers
  2. 1988Constructing breadth and average trend states
  3. 1989Evaluating an always-in-the-market moving-average crossover
  4. 1989Constructing symmetric market-breadth ratio accumulators
  5. 1989Objective crossover tests of Fibonacci wave ratios
  6. 1990Volume-adjusted moving average construction
  7. 1991Constructing a mechanical crossover on a synthetic price series
  8. 1991A two-speed breadth reading for intermediate market direction
  9. 1992A Deutschemark yield map with dual-average and relative-strength timing
  10. 1992Confirming currency-fund trends with a crossover and a filter
  11. 1992A moving-average slope filter for crossover signals
  12. 1992Occupancy and split-sample tests for average crossovers
  13. 1994Gold-mining seasonality and bond-fund duration switching
  14. 1994Price oscillator from two moving averages
  15. 1995Explicit exponential weights and binary entry filters
  16. 1996Currency futures crossover with slope, bond filter, and stop
  17. 1996Two-market average crossover entry with a fixed stop
  18. 1997Construction of a filtered three-average crossover
  19. 1998Two-group exponential average compression as a trend filter
  20. 1998Constructing r-squared trend filters with dual lookbacks
  21. 1998Moving-average length is a habit, not a secret
  22. 1999Solving the close that triggers a moving-average crossover
  23. 2000Kagi yang and yin control versus crossover noise
  24. 2000Constructing simple moving average crossover filters
  25. 2000Building a vertical-horizontal filter to gate trend signals
  26. 2000Two-average crossover as a check on trend following
  27. 2003Stacked exponential-average retracement entries and extreme stops
  28. 2003Evaluating oscillator thresholds against optimized crossovers
  29. 2004Constructing a semicycle trend-quality filter
  30. 2004Commodity subgroups labeled by crossover, support, or convergence
  31. 2004Full-window evaluation of crossover trend systems
  32. 2004Two-average trend filters as a classroom critique of indicator stacking
  33. 2005Three-layer confirmation from a moving-average cross, candles, and Q-stick
  34. 2005Charting put prices beside an equity breakdown
  35. 2005Range-gated moving-average crossover construction
  36. 2007Anticipating a simple-average crossover with a threshold-close
  37. 2007Anticipating moving-average crossovers one bar ahead
  38. 2007Lead-series moving-average crossovers with a stochastic and relative strength index
  39. 2007Next-bar SMA crossover hypotheses from theoretical crossing values
  40. 2007Anticipating a moving-average crossover before confirmation
  41. 2007A three-horizon moving-average stack as a construction problem
  42. 2007Confirming trend with regression slope and r-squared
  43. 2008Constructing a multi-timeframe smoothed crossover
  44. 2008Best-day clusters versus trend filters
  45. 2008Allied markets as a confirmation gate for crossover and breakout signals
  46. 2008Weekly exponential-average crossover as a mechanical trend case study
  47. 2010Evaluating a 200-day crossover as long, short, and stand-aside rules
  48. 2010Read a 10-and-40 trend on two neighboring time frames
  49. 2012Sampling unit as a first-class parameter on dual simple moving averages
  50. 2012Constructing index-ETF entries from volatility-index persistence
  51. 2013Moving-average baselines versus crossover signals
  52. 2013Constructing a typical-price and heikin-ashi crossover as one mechanical procedure
  53. 2016A three-gate checklist for longs after a sharp drop
  54. 2016Weekly inflation-ratio crossover for commodity regimes
  55. 2017Normalized Laguerre zero-axis warning as a two-marker construction
  56. 2019Range-weighted construction of an adaptive exponential moving average
  57. 2020Construct a second-pullback entry after a moving-average crossover
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