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2010issue C0932-35

Read a 10-and-40 trend on two neighboring time frames

Define the same 10-and-40 exponential moving-average ranking on the traded chart and on the next larger bar. The pair classifies the smaller interval as a ride, a retracement, or congestion.

  • A 10-period exponential moving average remaining above a 40-period exponential moving average labels an uptrend on that sampling interval; the reverse ranking labels a downtrend.
  • Repeated 10-and-40 crossings label congestion rather than a durable trend, and those labels stay bound to a named interval such as hourly, daily, or weekly.
  • The larger adjacent interval is treated as the primary driver, so a smaller-interval move against an intact larger trend is a retracement, not a two-frame reversal.
  • When both the weekly and daily 10-and-40 rankings are down, the procedure treats the setting as unfavorable for long trend-following entries.
Entries in this reading3 entries

Two neighboring clocks

The historical workflow defined trend the same way on every chart. A 10-period exponential moving average remaining above a 40-period exponential moving average labelled an uptrend. The reverse ranking labelled a downtrend.

A moving average is a smoothed average of recent prices used as a quantitative baseline for trend state over a chosen lookback. A moving-average crossover is the chart condition in which the shorter-period average crosses the longer-period average, marking a hypothesized change among uptrend, downtrend, and congestion.

Trend-following in this workflow is a rules-based procedure that enters, exits, or stands aside according to that explicit trend state rather than a forecast of reversal. The time-frame approach then reads the same definition on two or more adjacent sampling intervals so the larger interval can qualify the smaller one.

TradersWeek editorial reading: treat every trend call as a pair of neighboring clocks. Define the 10-and-40 state on the chart being traded and on the next larger bar, then decide whether the smaller clock is riding the larger current, printing a retracement, or sitting in congestion.

Uptrend, downtrend, and congestion

The ranking is interval-specific. A 10-period exponential moving average that remains above a 40-period exponential moving average defines an uptrend on that chart. The reverse ranking defines a downtrend on that same chart.

Repeated crossings of the 10-period and 40-period averages define congestion rather than a durable trend. The market then prints a sequence of short uptrends and downtrends instead of one lasting directional state.

Trend labels are bound to a named sampling interval, such as hourly, daily, or weekly. Short-term, medium-term, and long-term therefore remain chart-specific names, not universal durations.

The larger interval leads

The larger adjacent time frame is treated as the primary driver of the smaller one. A weekly downtrend is expected to weaken a daily upswing.

A smaller-interval downtrend can still occur as a retracement inside a larger-interval uptrend. That pair is not treated as a two-frame reversal. The larger ranking remains the qualifying state until it changes on its own clock.

What two Straits Times Index episodes showed

On the Straits Times Index weekly chart, a 10-period exponential average crossing below a 40-period exponential average in January 2008 marked a weekly trend turn that later appeared as persistent daily weakness.

When both the weekly and daily 10-and-40 average rankings are down, the procedure treats the market as an unfavorable setting for long trend-following entries.

During the April to November 2000 Straits Times Index congestion, the daily 10-and-40 averages criss-crossed through a sequence of short uptrends and downtrends rather than one lasting directional state.

TradersWeek editorial reading: the 2008 pair is a larger-interval turn that the smaller clock later confirmed as weakness, while the 2000 pair is two-clock congestion. The first is a setting in which long trend-following entries are treated as unfavorable once both rankings are down. The second is a setting in which the procedure stands aside because neither clock offers a durable bias.

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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