Understanding overbought and oversold
Friday, September 17th, 2010Anyone who follows the financial markets closely understands that the daily price of a specific investment instrument or of an index varies from minute to minute and day to day. The challenge for investors is knowing when a price is high or low in order to determine the best time to buy or to sell.
All of us like to get a good deal and no one likes to pay more for something than is necessary. Unfortunately, for many items we have little choice about when we make a purchase. For example, if someone is driving in a remote area and is low on gas, he will pay a high price for gas because he has no other good option. The price of the gas is going to be impacted by everything from how much the vendor paid to the distance from other vendors selling gas. When we have the choice, most of us would prefer to do some research, shop around and get the best possible price for anything we purchase.
One significant factor in determining the price of an investment is demand. When demand for an investment rises, so does the price. When no one wants to buy, the price falls. When excessive demand drives the price of an investment to an extended high level, traders refer to the situation as being “overbought.” Conversely, when lack of interest drops the price of an investment to a low level, the condition is called “oversold.”
As a general rule, investors hope to buy a specific investment when it reaches an oversold low and to sell it when it becomes extremely overbought. Unfortunately perfectly timed buys and sells are uncommon.
There are several technical tools traders use to help decide when an investment reaches an overbought or oversold condition. I’m going to describe two and explain their strengths and weaknesses.
Below is a chart of the S&P 500 over the past year. The middle portion of the chart is a stochastic oscillator. This tool is used to try to measure the location of a current price in relation to its price range over a period of time. The objective is to attempt to predict price turning points by comparing the closing price of a security to its price range. Some traders use this tool to try to identify exact buy and sell points for a given security. In my experience, this tool does not do a good job of pinpointing exact tops and bottoms; however, it is fairly accurate at predicting when an investment approaches a bottom or a top.
I highlighted the top portion of the oscillator with a green band. Normally when the oscillator reaches this level (above 80%) it indicates that the underlying investment has become overbought and is likely to correct soon. Similarly, I highlighted the bottom portion of the chart in pink. When the oscillator falls into this range (below 20%) it is oversold and a positive move could shortly occur.
Right now this oscillator is signaling that the S&P 500 is overbought and should soon correct. But this is not a perfect science. If you look at the oscillator in March 2010, it had also reached a similar overbought status. Instead of turning down, the S&P 500 continued to advance and the oscillator remained in an overbought situation for several weeks. During that time the oscillator rolled over a couple of times but it never retreated to the oversold area. Instead it reversed after only completing a half cycle and returned to overbought levels.
The bottom portion of the chart is a moving average convergence divergence (MACD). Like the stochastic oscillator, the MACD also measures an investment’s momentum. The MACD is a computation of the difference between two exponential moving averages (EMAs) of closing prices. This difference is charted over time, alongside a moving average of the difference. The divergence between the two is shown as the black histogram portion of the chart.
The MACD is currently positive and has not yet reached a level that would reflect a highly overbought situation. But it does appear to be getting ready to roll over.
The MACD is most effective in a trending market. According to Wikipedia, “Since the MACD measures the divergence between averages it can only give meaningful feedback as trends change. Thus, the MACD is less useful if the market is not trending—trading sideways or trading erratically—making sudden, dramatic, and/or countervailing moves. In a sideways market, the divergence between averages will not have a trend to illuminate. In an erratic market, the changes will happen too quickly to be picked up by moving averages or will cancel each other out, diminishing the MACDs usefulness.
Right now both of these imperfect indicators appear to signal that stocks have reached an overbought level. That does not mean a correction is imminent. But it does provide an indication that the risk of a correction is increasing. For an investor thinking about buying an S&P 500 Index fund, these indicators are showing that waiting might provide a better opportunity. Of course the real challenge for most investors is that unlike purchasing consumer goods, when it comes to investments, buying when the price is falling can feel frightening.
F.S.



