S&P 100 Bullish Crossover

18% avg. annual return

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S&P 100 Bullish Crossover

Current Strategy Summary

Buys: 2 Sells: 1
Holdings: 73

Performance

2026 ytd: +5.4%
1 week: +0.5%
1 year: +13.1%
*5 year: +9.3%
*10 year: +9.6%
*since inception (45.8yrs): +17.4%
*avg annual return

 

Current Portfolio Report Portfolio History Report
(subscribers only - Login ID and password required)  

 

The S&P 100 Bullish Crossover Portfolio trading strategy:
BUY a component stock of the S&P100 index when:
tagged with a “Bullish Crossover”  indicator
SELL a stock when:
tagged with a “Bearish Crossover”  indicator

* This strategy has been applied to the stock history of the 100 current (constituent stocks commencing March 9, 2012) members of the S&P 100 Index. It does not replicate this strategy on the historical components of the index. The strategy will make adjustments for changes in the components of the index, however, existing portfolio positions of stocks that are removed from the index remain as portfolio holdings until the sell signal is triggered. 

The money management rules for the portfolio are as follows:

Exposure to each position is limited to $10,000.

Transaction costs are factored into the cost of purchases and the net proceeds of sales at 1% in and 1% out, or 2% commission on a round trip.
 

Applying this very simple trading system on the Stock Trends 40-year historical data of current components of the S&P 100 index generates the following results:

Complete trading history

 

S&P 100 Bullish Crossover Portfolio strategy Performance - 1981 to 2021:

Year Avg Invested Capital ($) Net Gain/(Loss) ($) ST Portfolio (%)* S&P 500 (%) Difference (%)
Since inception $533,566 $4,054,745 +18.5% +9.1% +9.4%
2021 809,434 240,708 29.6 26.9 2.7
2020 477,358 -74,782 -15.8 14.3 -30.1
2019 510,000 64,579 12.7 30.3 -17.6
2018 621,887 -74,217 -11.8 -7.0 -4.8
2017 711,698 131,465 18.5 19.4 -0.9
2016 604,340 25,359 4.2 9.5 -5.3
2015 519,623 -38,767 -7.4 -1.3 -6.1
2014 773,396 106,975 13.8 13.4 0.4
2013 822,453 289,105 35.1 31.3 3.8
2012 726,604 40,589 5.6 11.5 -5.9
2011 662,075 -16,042 -2.4 0.0 -2.4
2010 682,642 43,480 6.4 12.8 -6.4
2009 473,019 203,398 43.8 29.1 14.7
2008 300,755 -196,359 -64.1 -41.0 -23.1
2007 740,755 220,443 29.6 4.2 25.4
2006 623,774 61,119 9.9 13.6 -3.7
2005 625,283 95,839 15.3 3.0 12.3
2004 685,094 169,584 24.8 10.4 14.4
2003 603,774 190,645 31.8 25.2 6.6
2002 357,170 -100,456 -27.9 -24.6 -3.3
2001 381,698 -98,928 -25.8 -12.1 -13.7
2000 440,189 -103,748 -23.6 -10.1 -13.5
1999 558,113 531,421 94.5 19.5 75.0
1998 527,170 463,809 87.8 31.0 56.8
1997 673,396 233,740 34.7 23.7 11.0
1996 612,453 229,060 37.4 22.9 14.5
1995 621,698 271,613 43.7 34.1 9.6
1994 395,472 -7,798 -2.0 -1.5 -0.5
1993 464,340 106,437 22.9 7.1 15.8
1992 489,434 59,919 12.2 8.2 4.0
1991 494,528 293,369 59.1 23.7 35.4
1990 386,981 -2,440 -0.6 -7.0 6.4
1989 600,377 252,721 42.1 27.3 14.8
1988 285,849 -12,834 -4.5 12.4 -16.9
1987 473,774 6,275 1.3 2.1 -0.8
1986 474,528 147,038 30.8 17.8 13.0
1985 452,264 119,307 26.5 26.1 0.4
1984 254,528 -52,987 -21.0 0.8 -21.8
1983 480,755 119,372 24.7 17.3 7.4
1982 342,264 147,990 43.8 14.8 29.0
1981 127,359 -27,508 -21.8 -10.1 -11.7

* ST portfolio annual returns are based on average invested capital for the year.

 

Trading Statistics

  
Total # of positions taken: 2,526
# of winning positions (winning %): 1126 (45%)
Average gain(%) per winning position: 51%
Average loss(%) per losing position: 12%
Profit factor**: 3.4
Maximum gain(%) on a position: 2,572%
Maximum loss(%): -83%
Annualized return on average invested capital: 18.5%
Average invested capital: $533,566
Average # of positions held: 53
Average # of weeks invested in each position: 45

* trading stats compiled at December 31, 2021

 **Profit Factor = (% of winning trades X average $ gains on winning trades) / ABSOLUTE VALUE[(% of losing trades X average $ losses on losing trades)]

 

 

 

 

  

The current S&P 100 Bullish Crossover Portfolio report is published weekly. It shows current holdings, as well as current buy and sell transactions. Investors can follow the report to emulate the performance of the portfolio or use this model portfolio to adjust their own holdings in these important U.S. stocks.
 
Last modified on Thursday, 06 January 2022 08:53
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Stock Trends Editorial

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    Market Intelligence Begins With Context A Bullish stock is not the same thing as a broadly Bullish market. A leading sector is not necessarily strengthening. A favorable historical return distribution is not a forecast. And a market environment that resembles a persistent Bullish structure can still contain weakening participation beneath the surface. Those distinctions are becoming increasingly important because investment research is no longer consumed only by people looking at charts and tables. The same evidence can now be queried by portfolio systems, software applications and AI agents capable of combining thousands of observations in seconds. That makes the quality of the underlying market intelligence more important, not less. Before a machine can reason about a market, the data must make clear what is being measured, which population it describes, when it was observed and what can legitimately be inferred from it.
    05 October 2026 Read more...
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    The Indexes Have Confirmed. The Market Beneath Them Has Not. Five months ago, the Stock Trends data showed an unusual development. Favorable forward-return distributions were expanding beyond established Bullish trends and appearing in Weak Bullish, consolidation, and even selected Bearish configurations. The implication was that probability was improving before conventional trend confirmation. The September 18 dataset tells the next chapter of that story. Forward probability has not continued to disperse across trend states. It has moved back toward Bullish structures, particularly among broad-market ETFs. Yet the common-stock universe beneath those indexes has barely become more bullish at all.
    19 September 2026 Read more...
  • Forward Probability Is Expanding Beyond Trend Confirmation
    Forward Probability Is Expanding Beyond Trend Confirmation The recent Stock Trends editorials have established that the current market is not defined by a unified directional regime. Instead, it is characterized by internal dispersion, where leadership is fragmented across sectors, industries, and individual securities. The latest dataset reinforces that conclusion. But more importantly, it reveals a structural shift beneath the surface: forward return probabilities are no longer tightly coupled to traditional trend classifications.
    08 April 2026 Read more...
  • Leadership Beneath the Surface: How Stock Trends Identifies System-Critical Equities
    Leadership Beneath the Surface: How Stock Trends Identifies System-Critical Equities The broad market still reads as a rotation market rather than a generalized expansion phase. Energy, Materials, and Utilities remain the clearest sector-level leadership blocs, but the current Stock Trends dataset shows that a second layer of leadership is now becoming more visible beneath the sector averages. That secondary leadership is important because it does not present itself as broad participation. It appears instead through specific industry groups whose internal trend structure is materially stronger than that of their parent sectors. In this week’s data, the clearest examples are Semiconductors and Equipment, Telecommunications, Containers & Packaging, and Banking.
    29 March 2026 Read more...
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