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.
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.
All readings on this track · 33 readings
- 1988Opening-range brackets, a two-bar trend filter, and bounded stops
- 1990Bezier-curve price trend filter
- 1992Constructing a damping-index trend filter
- 1992Building a random walk index trend filter
- 1992Phase diagrams for moving-average trend filters
- 1993Volume-weighted change smoothing and trend ranking
- 1993Concurrent highest-low filter with a largest-low-fall trigger
- 1994Unit-invariant trend filters and the c-test
- 1995Constructing cup and cap entries with a three-bar net line
- 1997Why a daily timing evaluation depends on interval, lookbacks, and the fitting objective
- 2001A volume budget clock for trend-segment construction
- 2001Keep three jobs separate when you test a composite score
- 2002Evaluating the weekly four-percent close filter as a market-state procedure
- 2003Constructing a confirmed zigzag trend filter
- 2004Decompose high, low, and close into separate forecast streams
- 2005Three-state moving-average breakout bar coloring
- 2005Constructing a volume and move-adjusted trend filter
- 2005A fifty-day average breakout as a trend permission filter
- 2005Current-bar inclusion can mute a stochastic channel break
- 2006A stochastic oscillator gated by a long-term exponential average
- 2010A construction test for a modified volume-price trend filter
- 2011Constructing a Spearman rank trend filter
- 2013Constructing a repeated-median slope as a resistant trend filter
- 2014Combining a relative-strength index and trend filters for oversold setups
- 2014Price-rooted lookbacks for a relative strength index, a moving average, and a trend filter
- 2015Evaluating next-session intermarket range forecasts
- 2018Read the intermarket weight matrix first, then the predicted moving-average filter
- 2018Constructing the stiffness trend filter from moving-average holds
- 2018The averaging kernel and the lagged trend gate are separate specifications
- 2019A trend filter is not ready to compare until portfolio constraints are written down
- 2019Lookback, threshold, and position-capacity for a stiffness trend-filter
- 2020Combining a trend filter with a moving average and a stochastic oscillator
- 2020Constructing a relative-strength oscillator with a rank-agreement trend filter