mean-reverting strategies
In finance, mean reversion is the assumption that a stock's price will tend to move to the average price over time.[1][2]
Using mean reversion in stock price analysis involves both 
identifying the trading range for a stock and computing the average 
price using analytical techniques taking into account considerations 
such as 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.
Stock reporting services 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 has the appearance of 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).
Some asset classes,
 such as exchange rates, are observed to be mean reverting; however, 
this process may last for years and thus is not of value to an investor.
Mean reversion should demonstrate a form of symmetry since a stock 
may be above its historical average approximately as often as below.
A historical mean reversion model will not fully incorporate the 
actual behavior of a security's price. For example, new information may 
become available that permanently affects the long-term valuation of an 
underlying stock. In the case of bankruptcy, it may cease to trade 
completely and never recover to its former historical average.
 
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