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The detrended price oscillator (DPO) is an indicator in technical analysis that attempts to eliminate the long-term trends in prices by using a displaced moving average so it does not react to the most current price action. This allows the indicator to show intermediate overbought and oversold levels effectively. [1] [2]
This means that when the indicator peaks and begins to descend, it can be considered a sell signal. The opposite conditions can be interpreted when the indicator bottoms out and begins to rise. [2] Momentum signals (e.g., 52-week high) have been shown to be used by financial analysts in their buy and sell recommendations. [3]
The goal of the indicator is to identify increased probability of a stock market crash. The rationale is that under "normal conditions" a substantial number of stocks may set either new annual highs or new annual lows, but not both at the same time.
Technical analysts also widely use market indicators of many sorts, some of which are mathematical transformations of price, often including up and down volume, advance/decline data and other inputs. These indicators are used to help assess whether an asset is trending, and if it is, the probability of its direction and of continuation.
No stock market indicator is perfect. There was no 20% Bitcoin drop preceding the market corrections that started in November 2015 or July 2023, nor did it decline 20% from a high before the bear ...
The successful prediction of a stock's future price could yield significant profit. The efficient market hypothesis suggests that stock prices reflect all currently available information and any price changes that are not based on newly revealed information thus are inherently unpredictable. Others disagree and those with this viewpoint possess ...
Polymarket, a cryptocurrency-based prediction marketplace, currently shows Trump ahead in the presidential election by 57.7% to 41.9%. Harris, though, is projected by the same site to win the ...
Algorithmic trading is a method of executing orders using automated pre-programmed trading instructions accounting for variables such as time, price, and volume. [1] This type of trading attempts to leverage the speed and computational resources of computers relative to human traders.