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The indicator without averaging of the data array, that is a Buy/Sell decision is made in one move.
Improvement of the pair correlation indicator, for different timeframes. Green - positive correlation. Red - negative.
The indicator draws the slow and fast ССI and colors bars for determining patterns and trends.
The indicator is calculated on the basis of currency pair volatility displaying the nearest support and resistance levels. It can be used as a trend indicator.
Indicator of support and resistance levels. It simplifies the navigation in placing the "stops".
SATL (Slow Adaptive Trend Line) - the «slow» adaptive trend line is obtained using a digital low-pass filter of a different order (light-blue line on the chart).
FATL (Fast Adaptive Trend Line) - the «fast» adaptive trend line is calculated using a digital low-pass filter (cream-colored line on the chart).
Example of optimization using the "running total" method.
My version of plotting the DeMark lines, also draws channels in addition to the trend lines and targets. Added one more target (the third one defined as 1.62 of the inner extremum), added the signal cancellation when closing within the channel.
Have you perhaps heard about the caterpillar? Here it is.... I do not remember where I got the code, I simply translated it from С++ to MQL4.
Perfect Commodity Channel Index. It has a certain similarity in the calculation method with the Commodity Channel Index (CCI) by D. Lambert.
As I recall, this indicator had been written by OlegVS for МТ3, for determining the flat. If the price is inside the dotted channel - flat. And MaksiGen redesigned it for МТ4.
The "Camarilla Pivots" indicator. The ideal indicator for those who like to work "by levels". It clearly shows the reversal level, support/resistance levels for the current day.
The indicator calculates the indices of the USD, EUR, GBP, CHF, AUD, CAD currencies and displays the index specified in the parameters in a separate window.
MACD2 generates bearish signals from three main sources. These signals are a reflection of the bullish signals - negative divergence, bearish intersection of the moving averages, bearish intersection of the center line.
Linear regression is a mathematical method for determining the linear dependence between the variables. This technique is often used by analysts to identify the trend based on the time and price data.
In the case of weighted moving average, the latest data is of more value than more early data. Weighted moving average is calculated by multiplying each one of the closing prices within the considered series, by a certain weight coefficient.