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1991issue C041-2

A signed hourly swing catalog as a next-session chi-square check

Keep only the sign of each hourly price swing and the last hours of a session become a closed four-hour catalog or three-hour catalog. Editorial reading treats each directional pattern as a next-session direction count checked by a chi-square test against an even-split baseline, not as a named forecast rule.

  • A signed hourly swing keeps only the plus or minus of each hourly change and drops volume and the size of the move, so the last hours of a session form a finite catalog of directional patterns.
  • A four-hour lookback window produces a four-hour catalog of 16 keys, and a three-hour lookback window produces a three-hour catalog of eight keys.
  • Each key was evaluated with a next-session direction count from a 19-year archive of hourly changes, and a chi-square test on one illustrated four-hour cell was reported as occurring by chance fewer than once in a thousand repetitions.
  • Editorial reading uses an even-split baseline so the table is a test of departure from chance rather than a named forecast rule.
Entries in this reading2 entries

Evaluation as a catalog of signs

Editorial framing. This piece treats evaluation as a closed catalog of signed end-of-session hourly moves. Each bar is reduced to plus or minus, every short lookback key is enumerated, and the next-session direction count is what gets inspected.

A signed hourly swing is an hourly price change reduced to plus or minus, with volume and the size of the move omitted. Keeping only the sign of each hourly price swing turns the last hours of a session into a finite catalog of short sequences.

A directional pattern is an ordered short sequence of those signed hourly swings, treated as one discrete catalog key.

The four-hour catalog and the three-hour catalog

The lookback window is the fixed number of trailing hourly intervals encoded into one pattern key. The sampling interval is the hourly bar used to assign each plus or minus in the sequence.

Using the last four hourly signs produces 16 possible keys, which is the four-hour catalog, the complete set of signed sequences that can be formed from the last four hourly intervals. Using the last three hourly signs produces eight possible keys, which is the three-hour catalog.

Counts on the following session

Each catalog key was evaluated by counting next-session advances and declines in a 19-year archive of hourly changes. A next-session direction count is that tally of advances versus declines on the session after a given catalog key.

A chi-square test is a statistical check of whether an observed next-session advance and decline split departs from a stated chance baseline. Editorial reading uses an even-split baseline, a simple null that treats the next session as equally likely to advance or decline, so a pattern table is read as a test of departure from chance.

An illustrated four-hour key

One illustrated four-hour key of advance, advance, decline, then advance was observed 142 times and was followed by 90 next-session advances and 52 next-session declines.

A chi-square test was applied to that four-hour cell’s next-session counts and was reported as occurring by chance fewer than once in a thousand repetitions.

A four-decline key and a four-advance key

The same evaluation contrasted a four-decline sequence with a four-advance sequence and reported that the two cells did not share the same next-session balance.

How both catalogs were presented

Two figures presented the four-hour catalog and the three-hour catalog together with the associated next-session counts.

Editorial reading. Once both catalogs sit beside their next-session counts, the chi-square question is whether a cell leaves the even-split baseline, not whether a directional pattern deserves a name as a forecast rule.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
13 of 17 in the Chi-square test track
19921-2 pp.Next on Chi-square testConstructing a chi-square test as a gate for two-way market recordsA two-way record can be tested for chance with a chi-square statistic that uses the Yates correction and one degree of freedom.
All readings on this track · 17 readings
  1. 1987Testing price-volume agreement after percent reversal filters
  2. 1988Constructing chi-square tests for two-way price counts
  3. 1988Building consensus indicators with correlation and the chi-square test
  4. 1988Test edges against chance, not story
  5. 1988Constructing an advance-decline divergence oscillator
  6. 1989Evaluate a contrary put-call premium ratio at a stated horizon
  7. 1990A weekly resistance-index from hourly volume-per-point
  8. 1990Testing breadth above moving averages by horizon
  9. 1990Evaluating member versus odd-lot breadth
  10. 1990A chi-square test of split frequency histograms across price aggregations
  11. 1990Evaluating smoothed secondary counts with a chi-square test
  12. 1991Treat session high and low times as codes, then require a chi-square check
  13. 1991A signed hourly swing catalog as a next-session chi-square check
  14. 1992Constructing a chi-square test as a gate for two-way market records
  15. 1992Percent filters, log point-and-figure, and breadth residuals
  16. 1997Build a chi-square stationarity screen before you forecast
  17. 1998Timed breakout rules after a nested-bar contraction
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