As of 12/20/2024
  Indus: 42,840 +498.02 +1.2%  
  Trans: 15,892 +32.54 +0.2%  
  Utils: 986 +14.76 +1.5%  
  Nasdaq: 19,573 +199.83 +1.0%  
  S&P 500: 5,931 +63.77 +1.1%  
YTD
 +13.7%  
0.0%  
 +11.9%  
 +30.4%  
 +24.3%  
  Targets    Overview: 12/12/2024  
  Up arrow44,200 or 41,750 by 01/01/2025
  Down arrow16,100 or 17,700 by 01/01/2025
  Up arrow1,050 or 975 by 01/01/2025
  Up arrow20,500 or 19,300 by 01/01/2025
  Up arrow6,100 or 5,775 by 01/01/2025
As of 12/20/2024
  Indus: 42,840 +498.02 +1.2%  
  Trans: 15,892 +32.54 +0.2%  
  Utils: 986 +14.76 +1.5%  
  Nasdaq: 19,573 +199.83 +1.0%  
  S&P 500: 5,931 +63.77 +1.1%  
YTD
 +13.7%  
0.0%  
 +11.9%  
 +30.4%  
 +24.3%  
  Targets    Overview: 12/12/2024  
  Up arrow44,200 or 41,750 by 01/01/2025
  Down arrow16,100 or 17,700 by 01/01/2025
  Up arrow1,050 or 975 by 01/01/2025
  Up arrow20,500 or 19,300 by 01/01/2025
  Up arrow6,100 or 5,775 by 01/01/2025

Bulkowski on the Open-Close Reversal, Uptrend Pattern

Updated with new performance information on 11/14/24.

The open-close reversal pattern
Open-Close Reversal, Uptrend

 

Open-Close Reversal, Uptrend: Important Bull Market Results

Overall performance rank (1 is best)**: 2/23
Break even failure rate*: 45% (up breakouts)
Average rise*: 7%
Percentage meeting price target*: 84%
 
The above numbers are based on hundreds of perfect trades as of 3/13/2013. See the glossary for definitions.
* Based on the trend high, not the ultimate high. See text.
** Based on the average rise compared to other small patterns with upward breakouts in a bull market

Open-Close Reversal, Uptrend: Identification Guidelines

CharacteristicDiscussion
2 barsThe pattern is composed of two bars, including the reference to the close of the first bar.
UptrendLook for the pattern in a short-term up trend.
OpenThe open must be within 25% of the intraday high.
CloseThe close must be within 25% of the intraday low, but also be above the prior day's close.

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Open-Close Reversal, Uptrend: Trading Tips

Trading TacticExplanation
ReversalThe pattern is supposed to act as a reversal of the up trend, and it does, but only 50% of the time in a bull market. The breakout direction is random, in other words.
BuyOnce price closes above the top of the pattern or below the bottom of it, buy/short at the open the next day, respectively.
Measure ruleThe open-close reversal fulfills the measure rule 84% of the time (bull market, up breakout). That is, measure the height of pattern and add it to the high price to get an upward target or subtract it from the intraday low to get a downward price target.

Open-Close Reversal: Uptrend, Performance Statistics

For the following statistics, I used 1,149 stocks, starting from January 1990 to March 2013, but few stocks covered the entire range. All stocks had a minimum price of $5. There were two bear markets in the 2000s (as determined by the S&P 500 index), from 3/24/2000 to 10/10/2002 and 10/12/2007 to 3/6/2009. Everything outside of those dates represents a bull market.

For each open-close reversal, I found when the trend started and when it ended. To find the trend peak or valley, I found the lowest valley and highest peak within plus or minus 10 days (21 days total) each, before the open-close reversal and the same peak/valley test after the open-close reversal. The closest valley or peak before the open-close reversal is where the trend began. The closest peak or valley after the open-close reversal is where the trend ended. I compared the peak or valley to the average of the high and low price of the open-close reversal pattern (2nd day).

The 10-bar peak or valley number tends to find major turning points on the daily charts.

I measured performance from the day after the breakout (opening price) to the nearest trend peak or trend valley.

To determine the inbound price trend (I was looking for an up trend), I used linear regression on the average of the high-low prices in the five days before pattern. That caught the short-term trend.

Open-Close Reversal, Uptrend: Performance and Failure Rates

Table 1: Performance and Failure Rates
Market/Breakout direction 5% Failure  Average 
 Rise/Drop 
Bull market, up breakout45%7%
Bull market, down breakout50%-6%
Bear market, up breakout37%7%
Bear market, down breakout33%-11%

Table 1 lists the failure rates, sorted by market condition along with the average rise or drop.

A failure occurs when the stock fails to move in the direction of the breakout more than 5%.

The failure rates may appear high, but that's typical for short-term patterns like the open-close reversal. The highest failures occur in a bull market.

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Open-Close Reversal, Uptrend: Measure Rule

Table 2: Measure Rule Performance
Market/Breakout direction Success 
Bull market, up breakout84%
Bull market, down breakout76%
Bear market, up breakout81%
Bear market, down breakout80%

Table 2 shows how often the measure rule works. Use the measure rule to estimate of how far price is likely to rise or drop.

To do this, measure from the high to the low in pattern to get the height. Add the height to the high or subtract it from the low to get the target. Price does best in a bull market after an upward breakout. It reaches the target 84% of the time, on average.

 

Open-Close Reversal, Uptrend: Trading Performance

Table 3: Testing the Open-Close Reversal, Uptrend
Market/Breakout direction Bull/Up  Bull/Down  Bear/Up  Bear/down 
Net profit/loss$118.67$(76.87)$(91.36)$67.85
Wins59%43%45%53%
Winning trades1,0921,440135342
Average gain of winners$712.74$750.46$705.35$768.85
Losses41%57%55%47%
Losing trades7501,882167305
Average loss($746.29)($709.90)($735.40)($718.19)
Average hold time (calendar days)31281715

Table 3 shows the performance based on 6,167 trades using $10 commissions per trade ($20 round trip), starting with $10,000 per trade. No other adjustments were made for interest, fees, slippage and so on.

Here's the setup.

For example, in a bull market, the net gain was $118.67 for all trades. The method won 59% of the time and there were 1,092 winning trades. The average gain of winning trades was $712.74.

Forty-one percent, or 750 trades were losers. They lost an average of $746.29.

The average hold time was 31 calendar days.

Notice how the gains and losses were pegged near 7%, which is how the test was setup.

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Open-Close Reversal, Uptrend: Trading Example

open-close reversal in Alaska Air (ALK)

The figure shows the open-close reversal uptrend at A

Price rises leading to the open-close reversal. Price opens at the high for the day and closes near the intraday low, with the day's close remaining above the prior day's close.

The next day, price breaks out downward when it closes below the bottom of A.

The stock is shorted at the open of bar B.

A stop placed 7% above the entry price closes out the trade for a loss at C. The target price, not shown, would have been 7% below the entry price.

Open-Close Reversal, Uptrend: Target Exit, Stock Performance

OCRU in DDD

I show a OCRU uptrend pattern in the figure, in the red box.

Entry for the upward breakout (the only direction tested) uses a buy stop placed a penny above the top of the chart pattern. A stop loss order placed a penny below the bottom of the chart pattern helps limit losses.

The target exit (sell point) is found by computing the height of the OCRU, multiplying by two, and adding it to the top of the OCRU. In this example, the stock reaches the target and a sale triggers.

For a more detailed explanation of the method I used to test the pattern, visit the link.

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Testing

As explained in the example above, I used a target exit placed twice as high as the height of the OCRU pattern added to the price of the top of the pattern. I placed a stop loss a penny below the bottom of the pattern. The uptrend benchmark uses a two-bar random pattern.

Tables 4 and 5 show results for bull markets with upward breakouts and an inbound upward price trend. I used 497 stocks in the test.

Table 4: Testing the OCRU in Stocks with Height Exit
Metric OCRU in
Uptrend 
Uptrend
Benchmark
Trades1,4496,018
Average profit/loss per trade$84.54$48.01
Win/loss ratio42%40%
Average hold time (days)2015
Winning trades6082,402
Average gain of winners (days)8%7%
Average hold time of winners2719
Losing trades8413,616
Average loss-4%-4%
Average hold time of losers (days)1813

Table 4. The OCRU vastly exceeds the benchmark performance ($84.54 versus $48.01).

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Open-Close Reversal, Uptrend: Target Exit, ETF Performance

OCRU in ITA

The OCRU is highlighted by the red box on the chart. The entry is a buy stop a penny above the top of the OCRU pattern and a stop loss order is placed a penny below the bottom of the pattern.

In this example, the entry triggers as the chart shows but the trade is stopped out for a loss.

Testing

This is the same test as the prior one except I used 94 exchange traded funds (ETFs) instead of common stocks.

Table 5: Testing the OCRU in ETFs with Height Exit
Metric OCRU in
Uptrend 
Uptrend
Benchmark
Trades1,0766,675
Average profit/loss per trade$58.42$48.84
Win/loss ratio47%45%
Average hold time (days)1413
Winning trades5012,980
Average gain of winners (days)5%4%
Average hold time of winners2117
Losing trades5753,695
Average loss-3%-3%
Average hold time of losers (days)1211

Table 5. The results of the OCRU in ETFs is marginally better than the benchmark ($58.42 versus $48.84).

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Open-Close Reversal, Uptrend: Target Exit, Crypto Performance

I searched 38 cryptocurrencies using several years of data and did not find any trades.

-- Thomas Bulkowski

See Also

 

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