The Bid & Ask

Quotations, Dispatches, and the Daily Tape

Thursday, August 13, 2026

Rejected thesis

Gap-pattern survey (breakaway / runaway / exhaustion / island)

The result

Thesis (mixed): Edwards & Magee classified opening gaps by where they sit in the trend — breakaway (after consolidation), runaway (mid-trend continuation), exhaustion (end of trend, reversal), island (gap + opposite gap = reversal). Each is supposed to imply a specific forward direction.

Code: research/gap_patterns.py, research/gap_island_combo.py Reports: research/gap_patterns_report.json, research/gap_island_combo_report.json

Headline (unconditional): All eight gap variants show small edges in the 0.1 - 3 % range over 5-40d. The bullish gaps (breakaway_up, runaway_up, exhaustion_up, island_down_reversal) are roughly flat; the bearish gaps systematically have positive 20-40d edges — i.e., textbook bearish gaps are contrarian long signals at the daily resolution, same family as bear flag / death cross.

Pattern (unconditional) n 20d edge 40d edge
breakaway_up 15,074 +0.63 % +0.32 %
breakaway_down (bear) 14,943 +0.72 % +1.02 %
runaway_up 3,147 -0.24 % +0.65 %
runaway_down (bear) 3,275 +1.80 % +2.82 %
exhaustion_up 1,899 -0.06 % +1.38 %
exhaustion_down (bear) 2,129 +0.63 % +2.59 %
island_up_reversal 4,689 +1.23 % +2.41 %
island_down_reversal 5,907 +1.15 % +3.08 %

Why most fail: At the unconditional level the gap by itself isn't big enough to time the reversal — only ~1-3 % edge. After options friction these compress to ~0.

Conditioning on drawdown ≤ -30 % + OOS 2020+ (gap_island_combo.py) amplifies every bearish-gap variant substantially:

Pattern × dd ≤ -30 % × OOS 2020+ n 40d edge
runaway_down 876 +7.3 %
exhaustion_down 1,060 +5.6 %
island_down_reversal 2,255 +5.4 %
breakaway_down 1,548 +4.2 %

Verdict on the gap family: - Unconditional: skip. - Bearish gaps conditioned on dd ≤ -30 %: real edge, same capitulation-bounce family as death-cross / drawdown-bounce. Worth productizing as additional timing triggers for the broader drawdown-bounce cohort (multiple triggers → higher conviction when several fire near simultaneously).


At a glance
Validatorresearch/gap_patterns.py
VerdictRejected

Every result here is reproducible from the script named above. Reports are in the repository.

Other rejected theses