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2006issue C041-4

Cost-aware excursion filters for stops and holding period

A historical pre-entry check reads unsigned stretch from the first-day open, treats the short-horizon average as the stop-distance bound, and keeps only holding lengths whose typical stretch still clears a stated commission burden.

  • Peak excursion from the open is the larger unsigned distance to the high or the low, and the short-horizon average is used as the stop-distance bound.
  • Average peak excursion is treated as growing with holding length through a power law whose exponent, excursion-alpha, ranks persistence and longer stretch versus the one-day stretch.
  • Subtracting a stated commission-and-slippage burden from each horizon’s typical stretch keeps only windows where the remaining move, per unit time, still clears that cost.
  • A larger one-day stretch does not imply a larger multi-day-to-daily ratio, so raw volatility is screened separately from reward-to-risk shape.
Entries in this reading3 entries

Measuring stretch from the open

Peak excursion from the open is the larger absolute distance of the high or the low from that open. When the origin is the first-day open, that unsigned distance is maximum adverse excursion: a filter that bounds a stop or loss limit before entry and while the position is open.

A multi-day version uses the window high and window low versus the first-day open. An earlier extreme is kept when a later day is smaller.

Average peak excursion

One-day and n-day peak-excursion readings are averaged across the sample. Average peak excursion reduces day-to-day noise before holding lengths are compared.

How typical stretch grows

The averaged n-day peak excursion is treated as scaling with holding length through a power law. The one-day factor and the exponent summarize typical extreme growth. That exponent is excursion-alpha: a persistence score and a ranking of longer-horizon stretch versus one-day stretch.

Zero means no directional persistence. One means uniform one-way travel.

Risk, reward, and a stated cost

Because average peak excursion is unsigned, short-horizon values are used as a risk or stop-distance proxy and longer-horizon values as a reward proxy. Their ratio is the risk-reward ratio, a pre-entry filter for whether later travel justifies the near-term loss bound.

Commission analysis subtracts a stated commission-and-slippage burden from each horizon’s typical stretch so the remaining move, per unit time, can accept or reject a holding length.

A worked comparison sets a 1.5 percent transaction-cost burden against a 1 percent typical one-day excursion. A same-session horizon can leave costs larger than the characteristic move, while a month-scale window can place those costs inside a larger typical stretch.

Subtracting an illustrative 1.5 percent commission-and-slippage charge from each horizon’s average peak excursion and dividing by day count produces a cost-adjusted rate curve. Its peak is the candidate holding length. Lower costs move that peak shorter, and higher costs move it longer.

Separating volatility from shape

A higher one-day stretch does not imply a higher multi-day-to-daily ratio. The screen separates raw volatility from the reward-to-risk shape used to accept or reject a name and a holding window.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
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201734-38 pp.Next on Maximum adverse excursionStaged stops, drawdown limits, and mechanical risk survivalPlace the first protective stop at the historical maximum-adverse-excursion threshold where losing trades typically stop recovering.
All readings on this track · 15 readings
  1. 1987Evaluating a black-box pyramiding routine with adverse excursion
  2. 1991Set the first stop from a capital-scaled MAE histogram
  3. 1991Opening gap fades bounded by excursion and time stops
  4. 1991Stop bounds versus added system parameters
  5. 1991Bound losses with MAE, stops, and drawdown limits
  6. 1992Multi-year evaluation of MAE-bounded mechanical rules
  7. 1992Moving-average add-ons could not be separated by maximum adverse excursion
  8. 1992Evaluating maximum-adverse-excursion stop reversals with short time stops
  9. 1992Failed range trades as breakout-system tests
  10. 1998Fitted moving averages for trend add-on entries
  11. 1998Monthly changer rules specified as one mechanical procedure
  12. 2002An excursion cutoff test for stops and profit exits
  13. 2006Constructing peak-excursion filters for stops and size
  14. 2006Cost-aware excursion filters for stops and holding period
  15. 2017Staged stops, drawdown limits, and mechanical risk survival
All 16 readings tagged Maximum adverse excursion
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