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The Relative Vigor Index indicator is as an oscillator type, the values fluctuate between positive and negative values. Similar to the stochastic oscillator but the closing price is compared with the Open instead of the Low price for the given period. It is typically designed together with a weighted moving average. High values are interpreted as a strong selling signal, and low values, a strong buying signal. If the trend is bullish it will grow with momentum.
The Moving Average of Oscillator (OsMA), is an indicator that is calculated by taking the difference between a shorter-term moving average and a longer-term moving average. The two most common are the 12 period moving average and the 26 period moving averages.
The FDI ranges between 1.0 and 2.0. FDI approaches 1.0 when prices tend to move in a one-dimensional straight line. Conversely, the more closely prices look like a two-dimensional plane, the closer the FDI moves to 2.0. A trend causes the FDI to move down, and we can expect the trend to end when the FDI reaches the 1.35 level. The FDI does not indicate if the trend will reverse sharply, or if prices will begin to range, but that prices should reverse to perform like a fractal again soon. FDI will move up if the market is not trending. When the FDI reaches 1.55, then a new trend is expected to start. The FDI does not indicate which way prices will break, only that a break should be coming soon.
SMI Indicator is used to predict the trend prevailing in the market i.e. either bullish or bearish. The trend is bearish if its SMI Output is below 40. Conversely, an SMI Output of above 40 indicates a bullish trend. In SMI, when the current closing price is greater than the Midpoint of High/Low Range, the outcome is above zero. Similarly, when the Current Close is less than the Midpoint of High/Low Range, than SMI is below zero. SMI uses a wide range that can vary from a negative value of -100 to a positive value of +100. In order to smooth the results of SMI, a Moving Average is determined, a.k.a. Stochastic %D.
A coherent unification model for trend indicators and oscillators is to technical analysis what a unification model of the micro-cosmos and the macro-cosmos is to physics. Although both models may still be far from being constructed, there is nonetheless a way of using trend indicators and oscillators to derive virtually instantaneous signals.
The Schaff Trend Cycle is a faster and more accurate indicator than the MACD because the currency cycle trends are factored into the equation of the MACD. The STC Indicator uses a 23- and 50-period EMA with a cycle component used as the 10-period signal line. Factoring in cycle trends based on a certain amount of days, indicates how far and how long a trend lasts. The algorithm involves applying the smoothed stochastic twice on the MACD Line. The result combines the benefits of both indicators. In trending markets it moves between 0 and 100, rising when an uptrend is accelerating and falling when a downtrend is accelerating.
This indicator script quantifies the variability in a symbol, based on the logarithm of the trading range over N periods. Calculate the natural logarithm of the highest high minus the lowest low, and divide the result by the natural logarithm of the number of periods.
The Forecast Oscillator plots the percentage difference between the closing price and the forecast price which is an N period linear regression line. The oscillator is above zero when the forecast price is greater than the closing price. Conversely, it is less than zero if it is below. In the rare case when the forecast price and the actual price are the same, the oscillator would plot zero