Best Forex Indicator Extended Regression StopAndReverse: Regression Channels

At some distance from the golden line, there are parallel lines of support and resistance along the trend. They are respectively below and above the trend line. These are valid linear threshold levels, since they are built on the value of the standard deviation on the calculated range with the corresponding Fibonacci coefficient. 

Using the value of the standard deviation and the corresponding Fibonacci coefficients, the best indicator forex uses a special algorithm to calculate the values of adaptive levels “stop” and “stop/reverse” for the current price. These levels can be interpreted as instantaneous maximum deviation values on the time section of the last bar. These values are shown as multicolored dots above and/or below the price according to the currency pair condition. Dots of blue shades are drawn below the price, the lighter ones are the stop, the darker ones are the stop/reverse. Red dots are drawn above the price and also show stop and reversal levels. For any price value on any bar, the best indicators mt4 always displays only two levels of instantaneous values, and not all four. This helps to draw appropriate conclusions about the state of the trend. 

An important detail – when one or two stop levels are truly broken, when the closing price of the bar goes beyond the corresponding level, the indicator displays this event by reversing instantaneous values – say, if these were resistance levels before the break, then after the break, the indicator draws instant support levels instead . Thus, if you see a reversal, this is at least a short-term trend change to a minor correction. According to the given regression coefficient, the corresponding non-linear channel is calculated and displayed, which is necessary for predicting the near future, and in addition, it performs the same role as the linear channel, that is, displaying the actual levels of support and resistance, but dynamically and non-linearly changing in time. By default, the parabolic regression coefficient is used, i.e. 2.