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1998issue C121-12

Walk-forward evaluation of recursive yen trend signals

The archive separated a constant-level smoother from a straight-line forecast, gated their gap with dollar thresholds, and accepted the long and short rules only after walk-forward windows kept those thresholds stable on the next unseen year.

  • A back-adjusted continuous yen series is assembled from quarterly contracts for research, but it cannot match live trading once rollover costs and execution slippage enter the record.
  • A recursive estimate updates the next-day price from a few lagged estimates plus the current close, becoming an exponential moving average under a constant-level model and a one-step recursive trendline under a straight-line model.
  • The trend oscillator is the gap between that forecast and the exponential average, and both long and short entries are taken on the close only after the gap clears a dollar threshold.
  • Walk-forward windows fitted lookback and both dollar thresholds on successive five-year samples, applied each set to the next unseen year, and kept a candidate only when nearby values were stable and consecutive losses stayed limited.
Entries in this reading3 entries

A single testable procedure

The archive specified a recursive yen trend system as one procedure. A constant-level smoother, a straight-line forecast, and dollar-up and dollar-down thresholds were fitted together rather than judged as separate parts.

Walk-forward evaluation was the acceptance step. Parameters from each in-sample window were applied to the next unseen year before the long and short rules were treated as more than an in-sample curve-fit.

Continuous contracts are not live rolls

A continuous yen futures series was built from quarterly contracts by switching on rollover and back-adjusting the price gap so the history looks smooth. That continuous contract remains different from live rolls.

Results on that series cannot match live trading because of rollover costs and execution slippage. Percentage-of-price rules applied to a back-adjusted continuous series can also be distorted, because each rollover difference is written back into earlier prices.

Recursive estimates instead of daily refits

Recursive polynomial fitting updates the next-day price estimate from a few lagged estimates plus the current close. It does not re-solve a least-squares straight line over a large block of past closes each day. That update is a recursive estimate.

Under a constant-level model the recursion reduces to an exponential moving average, a slowly updating mean that treats price as reverting toward a measured level. Under a degree-one linear model the same recursion produces a recursive trendline, treated as a one-step forecast of price if the recent path is a line with a changing slope.

A trend oscillator gated by dollar thresholds

The system oscillator is the gap between that one-step trendline forecast and the exponential moving average. The gap is the trend oscillator used to decide whether a directional move exceeds ordinary daily noise.

The system goes long when the gap exceeds a dollar-up threshold and short when the gap falls below a negative dollar-down threshold. Both entries are taken on the close. Each dollar threshold is the minimum oscillator displacement, up or down, required before a signal is issued.

Recursive yen trendline versus exponential average, 1988–89

On the back-adjusted CME yen continuous contract the recursive moving trendline, the straight-line forecast, drops through the mid-1988 break and rolls over at the December 1988 peak before the slower exponential average, the constant-level smoother. That lead-lag gap is the Tosc difference Meyers later gates with dollar thresholds. Levels were read from the published TradeStation daily plot, so they are approximate.
On the back-adjusted CME yen continuous contract the recursive moving trendline, the straight-line forecast, drops through the mid-1988 break and rolls over at the December 1988 peak before the slower exponential average, the constant-level smoother. That lead-lag gap is the Tosc difference Meyers later gates with dollar thresholds. Levels were read from the published TradeStation daily plot, so they are approximate.CME Japanese yen futures (continuous) · Daily · 1988-07-01T00:00:00.000Z to 1989-05-31T00:00:00.000Z

The source uses a back-adjusted continuous JY contract, so these prices are not live exchange quotes and will not match rolled executions. Overlay readings were digitized from the raster to about 0.2 point.

Walk-forward windows and stable parameters

Walk-forward evaluation fitted three parameters: lookback length converted to a smoothing constant, plus the dollar-up and dollar-down thresholds. Each walk-forward window was a fixed-length in-sample segment. The fit from that segment was then applied to the next unseen year, and those years were merged into one out-of-sample record.

The windows themselves were successive five-year samples. Candidate parameter sets were kept only when nearby values left results nearly unchanged and consecutive losses stayed at four or fewer. An in-sample optimum was treated as a curve-fit until the following year was checked.

Across six successive five-year windows the selected lookback and threshold values changed little. That stability was taken as a check that five years of data were enough to stabilize the next out-of-sample year.

How the walk-forward signals behaved

Charted walk-forward signals held established yen trends once those trends had formed. Sudden reversals, gaps, and choppy stretches produced most of the losses.

Reported drawdown and run-up percentages were computed on full contract notional. The same equity move would appear larger if it were restated against futures margin rather than against the full contract.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
22 of 50 in the Walk-forward analysis track
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  3. 1991Constructing walk-forward neural trading rules
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  6. 1992Audit mechanical system tests for fills and regimes
  7. 1993Walk-forward evaluation of monthly yield and real-rate forecasts
  8. 1993Constructing walk-forward forecasts with linear and moving-average baselines
  9. 1993Walk-forward hybrid rules for intermarket forecast stacks
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  13. 1996Walk-forward evaluation of gold-index bond-fund rules
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  15. 1996Require both a trend filter and a cycle oscillator before entry
  16. 1997Walk-forward windows as a diagnostic of parameter instability
  17. 1997Walk-forward validation of a market-breadth timing rule
  18. 1997Sunspot spikes and walk-forward evaluation of an adaptive cycle rule
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  20. 1998Walk-forward audit of regression trend forecasts
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  22. 1998Walk-forward evaluation of recursive yen trend signals
  23. 1999Personal system design under crowd psychology
  24. 1999Walk-forward evaluation of a polynomial price forecast
  25. 2000Walk-forward optimization of regression-slope-angle rules
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  28. 2002Evaluating mechanical systems before position sizing
  29. 2003Walk-forward construction of rule-based market-position systems
  30. 2007Evaluating metal seasonal windows across regimes
  31. 2007Evaluating mechanical timing systems against hold baselines
  32. 2011Walk-forward reoptimization as a system design gate
  33. 2011Evaluate generated systems on holdouts, then add stops
  34. 2012Walk-forward analysis and out-of-sample tests for a mechanical trading system
  35. 2012Personality-first trading system design
  36. 2012Scorecard-first mechanical system construction
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  38. 2012Formula search as mechanical system construction
  39. 2013Identity-first system construction
  40. 2013Construct a swing system from bias rules to walk-forward
  41. 2014Evaluate mechanical stock systems with stops and walk-forward
  42. 2014Walk-forward velocity filters on noisy intraday trends
  43. 2015Event-predictability versus position-constrained rules
  44. 2015Constructing mechanical systems for walk-forward tests
  45. 2016When a tested system must be retired
  46. 2016Walk-forward metric filters and chance-level checks for selected inputs
  47. 2018Evaluate mechanical trading systems without catalog rankings
  48. 2019Phased stop construction from entry risk to trailing exit
  49. 2020Stockpiling simple ideas for mechanical system construction
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