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2001issue C151

Keep three jobs separate when you test a composite score

A proprietary-model can compress more than 30 technical indicators into one composite-score from 0, labeled very bearish, to 100, labeled very bullish. Editorial: keep the moving-average smoother, the trend-filter reading, and the mechanical-trading-system trigger as separate procedures so a late exit is blamed on test design rather than on the market.

  • A composite-score is a single 0-to-100 reading assembled from many technical inputs, with low values labeled very bearish and high values very bullish.
  • Using that score itself as a mechanical-trading-system buy and sell trigger produced late sell indications in the reviewed histories.
  • Reading the same series as a trend-filter, rising, range-bound, or falling, produced mixed results that were judged better than binary score triggers.
  • Editorial: keep the moving-average, the trend-filter, and the mechanical trigger as separate procedures so a late exit is a test-design finding rather than a market finding.
Entries in this reading3 entries

A compressed score is still three jobs

A proprietary-model compressed more than 30 technical indicators into one composite-score scaled from 0, labeled very bearish, to 100, labeled very bullish. Score histories for 10 securities covering May 30 through October 18 were supplied together with a 10-day exponential moving-average of those scores.

A moving-average is a lookback smoother of ordered observations that damps short swings in a score or price series so the series can be compared with later outcomes. A trend-filter is a classification of whether a series is rising, holding a range, or falling, used to read continuation versus change instead of issuing a single flip. A mechanical-trading-system is a fully specified entry, exit, and abstention procedure that turns a score or filter state into a testable signal over a defined holding period.

Editorial: the composite-score is the compressed input. The smoother, the trend reading, and the trigger remain separate procedures, even when a service offers them as one number.

What happens when the score is the trigger

Using the composite-score itself as a mechanical buy and sell trigger produced late sell indications in the reviewed histories. In one illustrated name, the score stayed bullish through a consolidation and into a decline, with a sell indication arriving only after price had already moved down to 122.

Reading rising scores as bullish, range-bound scores as continuation, and falling scores as bearish treated the same series as a trend-filter and produced mixed results that the reviewer judged better than binary score triggers. In another illustrated name, a moving-average of scores that remained in a high range coincided with continued strength from May 30, 2000.

Editorial: a late sell after a still-bullish consolidation is evidence about how the mechanical-trading-system was specified, not evidence that the market failed the score.

A proprietary model cannot finish the audit

Because the scoring and screening rules were proprietary, the composite could not be independently reconstructed or audited. The service was positioned as a way to avoid doing technical analysis, yet the reviewer argued that using the scores still required that knowledge.

Editorial: if the internals of a proprietary-model cannot be checked, write the moving-average, the trend-filter, and the mechanical-trading-system as three testable jobs. Then a late exit can be blamed on test design rather than on the market.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
12 of 33 in the Trend filter track
20021-3 pp.Next on Trend filterEvaluating the weekly four-percent close filter as a market-state procedureA weekly-percent-change-switch becomes a testable mechanical-trading-system only after the percent threshold, the weekly sampling interval, the stance mode, and the fixed-share-unit are frozen.
All readings on this track · 33 readings
  1. 1988Opening-range brackets, a two-bar trend filter, and bounded stops
  2. 1990Bezier-curve price trend filter
  3. 1992Constructing a damping-index trend filter
  4. 1992Building a random walk index trend filter
  5. 1992Phase diagrams for moving-average trend filters
  6. 1993Volume-weighted change smoothing and trend ranking
  7. 1993Concurrent highest-low filter with a largest-low-fall trigger
  8. 1994Unit-invariant trend filters and the c-test
  9. 1995Constructing cup and cap entries with a three-bar net line
  10. 1997Why a daily timing evaluation depends on interval, lookbacks, and the fitting objective
  11. 2001A volume budget clock for trend-segment construction
  12. 2001Keep three jobs separate when you test a composite score
  13. 2002Evaluating the weekly four-percent close filter as a market-state procedure
  14. 2003Constructing a confirmed zigzag trend filter
  15. 2004Decompose high, low, and close into separate forecast streams
  16. 2005Three-state moving-average breakout bar coloring
  17. 2005Constructing a volume and move-adjusted trend filter
  18. 2005A fifty-day average breakout as a trend permission filter
  19. 2005Current-bar inclusion can mute a stochastic channel break
  20. 2006A stochastic oscillator gated by a long-term exponential average
  21. 2010A construction test for a modified volume-price trend filter
  22. 2011Constructing a Spearman rank trend filter
  23. 2013Constructing a repeated-median slope as a resistant trend filter
  24. 2014Combining a relative-strength index and trend filters for oversold setups
  25. 2014Price-rooted lookbacks for a relative strength index, a moving average, and a trend filter
  26. 2015Evaluating next-session intermarket range forecasts
  27. 2018Read the intermarket weight matrix first, then the predicted moving-average filter
  28. 2018Constructing the stiffness trend filter from moving-average holds
  29. 2018The averaging kernel and the lagged trend gate are separate specifications
  30. 2019A trend filter is not ready to compare until portfolio constraints are written down
  31. 2019Lookback, threshold, and position-capacity for a stiffness trend-filter
  32. 2020Combining a trend filter with a moving average and a stochastic oscillator
  33. 2020Constructing a relative-strength oscillator with a rank-agreement trend filter
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