Mean Reversion

Mean reversion involves first identifying the trading range for a stock, and then computing the average price. (Persons using extensive financial analytical techniques establish the average price as it relates to assets, earnings, etc.)

When the current market price is less than the average price, the stock is considered attractive for purchase, with the expectation that the price will rise. When the current market price is above the average price, the market price is expected to fall. In other words, deviations from the average price are expected to revert to the average.

One standard deviation (the square root of the trading range) can be used as a buy or sell indicator measurement. For instance, if the normal trading range is between 51 and 100, the range is 50, giving a standard deviation of $7.07 (the sq. rt. of 50). If the average price is $75, an investor using Mean Reversion would buy the stock at $75-SD (buy at $68) and sell the stock at $82 ($75+$7). One standard deviation is thought to cover 68% (68-95-99.7 rule) of future price movements, based on past movements. One, two or more standard deviations can be used for more accuracy.

Stock reporting services (such as Yahoo, MS Investor, Morningstar, etc.), commonly offer moving averages for periods such as 50 and 100 days. While reporting services provide the averages, identifying the high and low prices for the study period is still necessary.

Mean reversion is a more scientific method of choosing stock buy and sell points than charting, because precise numerical values are derived from historical data to identify the buy/sell values, rather than trying to interpret price movements using charts (charting, also known as technical analysis).