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Buy (after) the dip (ends)

Jay Kaeppel
2024-11-27
"Buy the dip" is a well-worn phrase in the stock market. But one never knows for sure how low any given dip will go. It might be more prudent to buy after the dip has reversed. This piece offers a rudimentary approach to said objective.

Key points

  • Buying into a market decline can be fruitful if the market soon reverses higher 
  • The catch is that not all dips are created equal (the risk of "catching the falling safe")
  • Below, we highlight a simple approach to buying "after the dip (within an uptrend) has reversed"

Buying the dip - but not exactly

"Buy the dip" is a popular phrase that describes the act of buying into market weakness with the presumption that there will soon be an upside reversal. In this piece, we will look at a simple approach to a variation of this theme. While the approach is simple, the title is slightly longer-winded and not as catchy. I refer to it as "buying after the dip reverses back to the upside so long as it happens within a well-established uptrend." As I said, it's not as catchy. But buying the actual dip can be perilous, as one never knows how far the dip will go before it reverses. 

So, let's use our Backtest Engine 2.0 for a simple approach. Our first input screen appears below.

In the first entry criteria screen below, we set Condition 1. The indicator is the difference between the S&P 500's 50-day moving average and the 200-day moving average. Condition 1 requires that the 50-day average be above the 200-day average on the same day as Condition 2. 

Condition 2 tells us that we are seeing an upside reversal within an ongoing uptrend. In the second entry criteria screen below, we set Condition 2. The indicator is the percentage of S&P 500 stocks above their 10-day moving average, and we look for a cross above 40%. For it to cross above 40%, it must first drop below 40%-that's "the dip." The cross above 40% indicates the "upside reversal after the dip."

We will use a two-month holding period (42 trading days) for testing.

The results

The chart below highlights all entry and exit signals generated using simple trading rules since 1998. The most recent signal occurred on 2024-11-21.

Note that these signals tend to fire regularly during periods of rising prices and not at all in a strong bear market. This is precisely what we want it to do - highlight potential buying/trading opportunities within a rising trend and stand aside during a declining trend.

The table below summarizes results on a signal-by-signal basis. Two-month returns are highlighted.

Note a 72% win rate for a two-month holding period. Note also that there was only one loser of more than -10% (-13.72 in 2010). 

The chart below displays the cumulative equity curve for the signals above. The critical thing to note is the "lower left to upper right nature of the results." This is the type of consistency one looks for, as it helps to instill enough confidence to continue acting upon each new signal.

What the research tells us…

The abovementioned strategy is not presented as a "be all, end all" mechanical approach to trading. It is intended to highlight a) the potential benefits of employing a variation of the "buy the dip approach" and b) an example using our Backtest Engine 2.0.

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Risk Disclosure: The information and tools provided are for research and analytical purposes only and are not intended as investment advice. Market analysis involves uncertainty, and outcomes may differ from expectations. Users should conduct their own due diligence and consider their individual circumstances before making any financial decisions. Past performance is not necessarily indicative of future results.

Hypothetical Performance Disclosure: Hypothetical performance results have many inherent limitations, some of which are described below. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown; in fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently achieved by any particular trading program. One of the limitations of hypothetical performance results is that they are generally prepared with the benefit of hindsight. In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk of actual trading. for example, the ability to withstand losses or to adhere to a particular trading program in spite of trading losses are material points which can also adversely affect actual trading results. There are numerous other factors related to the markets in general or to the implementation of any specific trading program which cannot be fully accounted for in the preparation of hypothetical performance results and all which can adversely affect trading results.

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