Skip to main content
Track Exponential smoothing
11 / 41
Library

1991issue C081-14

Hybrid construction of a mechanical timing system from smoothed signals

A mechanical-trading-system can be assembled so that entry, exit, and no-trade outcomes come from one inspectable procedure. Hybrid construction screens which indicator subsets move that decision, rewrites each retained subset as a weighted rule, and withholds a signal when the market state is not suitable.

  • A mechanical-trading-system can produce entry, exit, and no-trade outcomes from one inspectable procedure rather than from an unexplained score.
  • An input-variance probe keeps an indicator subset only when varying it together inside a plus-or-minus 10 percent band moves the output enough to justify a rule.
  • A rule-based-entry adds a buy decision only when every listed precondition is true, including a regime gate that the market is currently trending.
  • When inputs are judged non-meaningful or chaotic, the designed outcome is abstention rather than a forced trade.
Entries in this reading3 entries

One inspectable procedure

A mechanical-trading-system can be assembled so that entry, exit, and no-trade outcomes are produced by one inspectable procedure rather than by an unexplained score. Hybrid construction uses a trained network only to rank indicator subsets. Those subsets are then rewritten as inspectable rules rather than left as an opaque score.

Keep only inputs that move the decision

Candidate rule inputs can be screened with an input-variance probe. An indicator subset is varied together within a plus-or-minus 10 percent band. The subset is retained only when the output movement is large enough to justify encoding.

Turn retained subsets into productions

The construction can convert each retained indicator subset into one production rule. The rule base is sized to the number of subsets judged important, reported in the source as 271 rules. A rule-based-entry can be written so that a buy decision is added only when every listed precondition is true. Those preconditions can include a regime gate: a minimum confidence that the market is currently trending.

Smoothing as a comparable baseline

Exponential-smoothing enters the procedure as a comparable baseline. Yesterday's index at or below yesterday's exponential moving average, together with today's index strictly above today's average, can form the arithmetic core of a buy rule.

Weight rules and allow abstention

Each encoded rule can carry a certainty factor that scales how much that rule updates the buy or sell attribute. A weakly weighted rule is intended to be corroborated by other activated rules. A local selection-cost coefficient can be attached to a rule so that rules with equal certainty do not compete equally if one is assigned a higher conceptual cost of use. The same procedure can include an explicit abstention path. When inputs are judged non-meaningful or chaotic, the system is designed to withhold a signal rather than force a trade.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
11 of 41 in the Exponential smoothing track
19911-1 pp.Next on Exponential smoothingConstructing an exponential smoother from a moving-average lengthAn exponentially smoothed series is constructed as another form of moving average on ordered closing prices.
All readings on this track · 41 readings
  1. 1984Matching average age across price filters
  2. 1984Residual-impact construction of exponential smoothers
  3. 1988Constructing simple and exponential moving averages as specified filters
  4. 1989Evaluating smoothed free reserves and funds-discount spreads
  5. 1990Integer construction of moving averages and exponential smoothing
  6. 1990Constructing incremental moving average filters
  7. 1991Constructing a double-smoothed stochastic oscillator
  8. 1991Constructing an exponential average from a smoothing weight
  9. 1991Constructing a double-smoothed momentum oscillator family
  10. 1991Competing certainty rules from exponential-average conditions
  11. 1991Hybrid construction of a mechanical timing system from smoothed signals
  12. 1991Constructing an exponential smoother from a moving-average length
  13. 1991Equivalent relative-strength-index constructions from a ratio and from smoothed momentum
  14. 1991Constructing the true strength index from double-smoothed momentum
  15. 1991True strength index from signed, double-smoothed momentum
  16. 1992Constructing exponential averages from simple lookbacks
  17. 1992Constructing exponential averages by the smoothing constant, startup length and lag
  18. 1992Nested range smoothing and windowed high-low damping
  19. 1992A weekly equity stance from the discount-bill spread
  20. 1993Double-smoothed stochastics momentum index construction
  21. 1993Constructing the true strength index with double exponential smoothing
  22. 1994Polarized fractal efficiency with a shared exponential smoother
  23. 1994Five-interval exponential smoothing of ten-interval signed path-efficiency
  24. 1994Hand-ranked price-volume series with stacked smoothing and stochastic
  25. 1995Range expansion filter on multi-horizon averages
  26. 1995The exponential smoothing constant from averaging lag
  27. 1997Construct a nested-average rainbow band and oscillator
  28. 1998Filter stacks that combine a moving average with exponential smoothing
  29. 2002Smoothed relative-strength construction from wilder-averaging and a price prefilter
  30. 2003Reverse-engineered RSI price targets
  31. 2004Piecewise trend quality from moving-average reversals
  32. 2004Nested smoothing recipes versus unaudited oscillator experiments
  33. 2008Weight construction beyond the N-day label
  34. 2010A consensus filter for objective RSI and smoothing construction
  35. 2012Sentiment-zone oscillator from signed closes
  36. 2012Classic RSI one-over-N smoothing versus the standard exponential average
  37. 2013Why exponential smoothing uses two over n plus one
  38. 2015Constructing ratio indicators with moving-average and exponential-smoothing weights
  39. 2015Slow relative-strength index from an exponentially smoothed price
  40. 2017Rebuilding the relative strength index as open-scale buy-sell pressure
  41. 2017Comparing Wilder and exponential smoothing inside a relative-strength index
All 183 readings tagged Exponential smoothing
Also on Exponential smoothing5 readings