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1989issue C021-3

Odd-lot short interest as a constructed breadth series

Odd-lot shorts are scaled to two-way odd-lot volume, separated by professional and public participation, and smoothed with a 33 percent weekly exponential average. Editorial reading: the result is a breadth series whose chart extremes can be tested as demand-and-regime hypotheses, not as a raw pessimism count.

  • Short interest is the open amount of borrowed-share sales that still requires a later purchase to return the stock.
  • A large open short interest is treated as latent covering demand, not as a simple count of bearish opinion.
  • The odd-lot short percentage scales odd-lot shorts to the two-sided average of odd-lot purchases and sales, then a weekly 33 percent exponential average smooths the erratic daily prints.
  • A high professional-public mix is constructed as a cautionary participant-regime reading even when total short interest is large.
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Short interest as stored demand

Short interest is the open amount of stock sold after borrowing. The position stays open until a purchase returns the shares.

A large open short interest is treated as stored future demand rather than as a simple count of bearish opinion, because covering purchases remain to be made. That implied later buying is latent covering demand.

How the odd-lot short percentage is built

An odd-lot short is a short sale executed in a parcel smaller than 100 shares.

The odd-lot short percentage equals 200 times odd-lot shorts divided by the sum of odd-lot purchases and sales, which is the same as 100 times shorts divided by the average of those two sides. The construction therefore scales shorts to two-sided odd-lot activity.

Daily prints and the weekly series

Odd-lot shorts are reported daily with a one-day delay and weekly with a two-week delay.

Daily odd-lot short percentages are treated as erratic, so they are combined into a weekly series or taken from the delayed weekly print.

The professional-public mix

A high ratio of professional short sales to public short sales is constructed as a cautionary participant-regime reading even when total short interest is large. The professional-public mix is that relative size, used as a participant-regime filter rather than as another total.

The stated exponential average

A 33 percent exponential average of the weekly odd-lot short percentage is the stated smoother applied to the constructed series. An exponential average is a recursive weekly smoother that assigns a stated weight to the newest observation.

Where the mid-1980s sample sat

The mid-1980s sample of the series stayed below its median through 1983 and 1984 and later averaged higher after professionals used the odd-lot channel more often.

The constructed series sat in its lower quartile before 19 October 1987 and, after a subsequent rise, occupied its upper quartile from March 1988.

Odd-lot short percentage, 1982–1988, with quartile bands

Weekly odd-lot shorts as a percent of two-way odd-lot volume, shown with Merrill’s 33 percent exponential smoother. Point A is a bearish low, B a two-year high that is still not extreme, C the 1987 drop into the lower quartile ahead of the October crash at D, after which the series climbs into the upper quartile by March 1988. Values were read from the plotted curve and the printed quartile lines, not from a table.
Weekly odd-lot shorts as a percent of two-way odd-lot volume, shown with Merrill’s 33 percent exponential smoother. Point A is a bearish low, B a two-year high that is still not extreme, C the 1987 drop into the lower quartile ahead of the October crash at D, after which the series climbs into the upper quartile by March 1988. Values were read from the plotted curve and the printed quartile lines, not from a table.Odd-lot shorts / two-way odd-lot volume · weekly, 33% exponential average · 1982-01-01T00:00:00.000Z to 1988-12-31T00:00:00.000Z

Merrill states the weekly series is a 33 percent exponential average of odd-lot shorts scaled as 200 × shorts ÷ (purchases + sales). Quartile and median lines are those drawn on the source chart. Digitized points are approximate; the raster does not support more precision than about 0.2–0.3 percentage points.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
2 of 21 in the Market participant analysis track
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All readings on this track · 21 readings
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  2. 1989Odd-lot short interest as a constructed breadth series
  3. 1989Volume-scaled member versus public short sales as a two-class classroom test
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  20. 2017Test a high-low forecast as one procedure, then cut the book
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