As of 02/21/2025
Indus: 43,428 -748.63 -1.7%
Trans: 16,034 -430.64 -2.6%
Utils: 1,023 +3.75 +0.4%
Nasdaq: 19,524 -438.35 -2.2%
S&P 500: 6,013 -104.39 -1.7%
|
YTD
+2.1%
+0.9%
+4.1%
+1.1%
+2.2%
|
|
As of 02/21/2025
Indus: 43,428 -748.63 -1.7%
Trans: 16,034 -430.64 -2.6%
Utils: 1,023 +3.75 +0.4%
Nasdaq: 19,524 -438.35 -2.2%
S&P 500: 6,013 -104.39 -1.7%
|
YTD
+2.1%
+0.9%
+4.1%
+1.1%
+2.2%
| |
| ||
Initial release: 2/19/25.
This article discusses the bearish 2-step reversal chart pattern, including what to look for and how it behaves in stocks and exchange traded funds. It's rare to find it in ETFs and cryptocurrency.
The following table shows the identification rules, and are self-explanatory. Also refer to the adjacent chart.
Characteristic | Discussion |
Five Bars | This pattern is five price bars long. |
Bar 1 | Any price bar. |
Bar 2 | Price makes a high above bar 1 with a higher close, too. |
Bar 3 | Price has a high above bar 2 but a close below bar 1 (which will also be below bar 2's close). Bars 1 to 3 form a 2-close reversal pattern. |
Bar 4 | Makes a close above bar 3's close. |
Bar 5 | Has a high above bar 4 but closes below bars 3 and 4. |
Breakout | Breaks out downward 74% of the time in stocks. |
Before I discuss the performance after a bullish breakout, the bearish 2-step pattern is, after all, bearish.
I tested it in stocks and found that 482 trades with downward breakouts in bull markets with upward price trends leading to the pattern, each trade lost an average of $129.57. The pattern in downtrends were worse, losing an average of $155.71 per trade.
Although this pattern breaks out downward 74% of the time, it does not suggests a meaningful downtrend will follow.
For tests in stocks, ETFs, and cryptocurrency, I used these rules.
The chart shows an example trade in Adobe. The red box highlights the 2-step reversal pattern.
An upward breakout triggers a buy stop to enter the trade two days after the pattern completes. However, the move higher doesn't take the stock far enough to reach the target exit before the stock tumbles and triggers the stop loss order.
Metric | 2-Step In Uptrend | Uptrend Benchmark | 2-Step in Downtrend | Downtrend Benchmark |
Trades | 164 | 5,672 | 134 | 5,053 |
Average profit/loss per trade | $14.92 | $102.71 | $166.15 | $131.16 |
Win/loss ratio | 35% | 41% | 44% | 42% |
Average hold time (days) | 22 | 31 | 22 | 31 |
Winning trades | 58 | 2,335 | 59 | 2,142 |
Average gain of winners | 9% | 10% | 9% | 11% |
Average hold time of winners (days) | 26 | 42 | 31 | 46 |
Losing trades | 106 | 3,337 | 75 | 2,911 |
Average loss | -5% | -5% | -4% | -6% |
Average hold time of losers (days) | 23 | 26 | 15 | 28 |
The 2-step pattern significantly underperforms the benchmark in uptrends, but it's also rare. Additional samples might boost performance but other small patterns based on this type of reversal (a higher high but a lower close) do not test well.
Downtrends beat the benchmark, but with only 134 trades. Because of the wide performance results between uptrends and downtrends, I would be cautious relying on this pattern.
The pattern appears less than 30 times in the ETFs I looked at, which is too few to report on. Upward breakouts substantially underperformed the benchmark. The pattern in downtrends also underperformed but only by a little (less than $1).
This pattern is too rare (16 trades) to appear much in cryptocurrencies. There were not enough trades to discuss.
-- Thomas Bulkowski
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