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1992issue C031-16

Trendline holds, trailing stops, and industry rotation

After a breakout begins an uptrend, this archive workflow uses the trendline as the holding rule, moves the stop-loss higher with that line, and treats industry rotation as regime context rather than a mandatory group trade.

  • After a stock breaks out and begins an uptrend, the trendline is the holding rule: profits are allowed to run until a close through the line fails the hypothesis.
  • The stop-loss is first set from the chart's invalidation point and is moved higher as the trendline moves higher, so the exit tracks the same price structure that justified the hold.
  • Industry timing watches names that have underperformed for several months on a seven-week basis for a sharp one-week jump into the top of the ranking, then treats that reversal as an intermediate-term group hypothesis.
  • When rotation is not clean, or the market is stock-oriented, the method drops to individual charts inside the industry and uses the rotation screen only as regime context.
Entries in this reading3 entries
Current trackIndustry rotation29 readingsTrendline128 readingsStop-loss order144 readings

A hold that lives on the trendline

After a stock breaks out and begins an uptrend, a trendline is used as the holding rule. Profits are allowed to run until that line is broken.

A trendline is a rising or falling line drawn from successive swing points. It remains valid only while price respects it. A close through the line is treated as the hypothesis failing.

A stop that ratchets with the line

A stop-loss is placed on the position and is moved higher as the trendline itself moves higher. The exit tracks the same price structure that justified the hold.

A stop-loss in this workflow is a pre-placed exit. It is first set from the chart's invalidation point and then ratcheted with the trendline so a winner is not given back after the structure breaks.

Industry rotation as regime context

Industry timing starts from price momentum. Names that have underperformed for several months on a seven-week basis are watched for a sharp one-week jump into the top of the ranking as a change-of-leadership signal.

That rotation signal is treated as an intermediate-term hypothesis that the group can outperform after the momentum rank reverses.

Industry rotation is a relative-strength screen that flags an industry whose multi-month underperformance suddenly reverses. It is used to place a single name inside a broader leadership or stock-picker regime.

When the market is stock-oriented

When group-level rotation fails to produce clean signals, the method drops to individual stock charts, because winners and losers can appear inside the same industry.

A market can be stock-oriented rather than group-oriented. That is why a rotation overlay is used as regime context instead of a mandatory group trade.

Slow-growth names in the same industry

In a slow-growth setting, charts of strong and weak names inside the same industry are compared to isolate the dividing line between survivors and laggards before a trendline trade is sized.

Potential U.S. equity demand by holder sector

Warburg’s April 1991 flow-of-funds sheet shows households alone would need to buy about $1.02 trillion of stock to climb from a 14.4% equity weight back to their 1945–90 average of 21.4%, while private pensions and insurers would be modest net sellers. Across the six sectors the net stock of unused demand is $1.33 trillion. Read the bars as a supply-demand backdrop, not a timing trigger; the dollars come from the printed Future Demand for Stock table, not from a price chart.
Warburg’s April 1991 flow-of-funds sheet shows households alone would need to buy about $1.02 trillion of stock to climb from a 14.4% equity weight back to their 1945–90 average of 21.4%, while private pensions and insurers would be modest net sellers. Across the six sectors the net stock of unused demand is $1.33 trillion. Read the bars as a supply-demand backdrop, not a timing trigger; the dollars come from the printed Future Demand for Stock table, not from a price chart.U.S. equities · 1991 Q1 snapshot · 1991-01-01T00:00:00.000Z to 1991-03-31T00:00:00.000Z

The 53.8% pension benchmark is the private-fund average for 1970–1991 after equity limits were lifted, and Warburg applies that same yardstick to public funds, whose own historic high was only 40.8%. Private-fund equity was restricted until 1949 and public-fund equity through 1970. After stripping possible Federal Reserve double-counting of mutual funds and pension assets, Warburg still put net demand near $1.1 trillion.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
3 of 23 in the Industry rotation track
19941-8 pp.Next on Industry rotationInflation-deflation regimes inside the stock cycleA multi-year equity cycle can be split into a deflationary phase and an inflationary phase that cut across ordinary bull and bear labels.
All readings on this track · 23 readings
  1. 1985Industry leadership carryover as a bull-regime test
  2. 1988Constructing industry-group breadth and rotation measures
  3. 1992Trendline holds, trailing stops, and industry rotation
  4. 1994Inflation-deflation regimes inside the stock cycle
  5. 1996Sector rotation across economic cycle phases
  6. 2001Rebased relative performance charts for sector rotation
  7. 2001Place a small-cap growth idea inside a regime map
  8. 2004Rebuild every industry as a share of one rank scoreboard
  9. 2004Rate-hike regimes and sector rotation as a case study
  10. 2005A two-name style-index sleeve makes rank rotation one procedure
  11. 2006Consumer staples after a smokestack cycle
  12. 2007An intra-sector regime split between builders and equity REITs
  13. 2008Country and sector weights in an Africa regional-sleeve
  14. 2011Trend permission, priced entries, and sector rotation
  15. 2012Construct a regime-aware context from sector rotation
  16. 2012Regime overlays versus rank rotation
  17. 2014Rank-based sector rotation as a portfolio test
  18. 2017Real estate as a ranked industry sleeve
  19. 2017Theme sleeves: liquidity and commission filters before industry rotation
  20. 2018Retail sleeve construction through channel rotation and daily leverage
  21. 2020Water sleeve construction: satellite size, industry mix, and liquidity
  22. 2020A ranked research terminal as a three-layer watchlist procedure
  23. 2020Regression channels for sector rotation context
By fieldTrend and channels181 readingsBy year1992115 readings
All 29 readings tagged Industry rotation
Also on Industry rotation5 readings
1985Industry leadership carryover as a bull-regime test1988Constructing industry-group breadth and rotation measures1994Inflation-deflation regimes inside the stock cycle1996Sector rotation across economic cycle phases2001Rebased relative performance charts for sector rotation