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Geometric Mean Average

Geometric Mean Moving Average

The Geometric moving average calculates the geometric mean of the previous N bars of a time series. The simple moving average uses the arithmetic mean, which means that it is calculated by adding the time series' value of the N previous bars and then dividing the result with the lookback period. The geometric mean on the other hand is calculated by multiplying the time series' N previous values (multiplication is used instead of the addition) and then taking the N'th root product of the last result.
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Manufacturer: nt8indicators
SKU: GMMA
Vendor: nt8Indicators
$9.90
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Median Convergence Divergence

The Median Convergence Divergence ( MCD ) is a derivative of the Moving Average Convergence Divergence ( MACD ). The difference is the change in the use of the measure of central tendency. In MACD , moving average (mean) is used, whereas, in MCD , the median is used instead. The purpose of using the median is to eliminate the outlying values, which would be calculated for a moving average. The outliers would affect the value of the moving average.
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Laguerre RSI

Laguerre

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Arnaud Legoux Moving Average

As the name suggests, the ALMA indicator is a moving average (MA) variant and was created by Arnaud Legoux in 2009. The goal was to decrease the lag commonly encountered with moving averages. As with most moving averages, this indicator aims to detect trends and trend reversals. It works similarly to other moving averages, but one of the main differentiators is that it calculates 2 moving averages, one from left to right and one from right to left. This output is then further processed through a customizable formula, for either increased smoothness or increased responsiveness.
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Trend Direction & Force Index for NinjaTrader 8

Trend Direction and Force Index

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Hypothetical Performance Disclosure: Hypothetical performance results have many inherent limitations, some of which are described below. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown; in fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently achieved by any particular trading program. One of the limitations of hypothetical performance results is that they are generally prepared with the benefit of hindsight. In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk of actual trading. for example, the ability to withstand losses or to adhere to a particular trading program in spite of trading losses are material points which can also adversely affect actual trading results. There are numerous other factors related to the markets in general or to the implementation of any specific trading program which cannot be fully accounted for in the preparation of hypothetical performance results and all which can adversely affect trading results.

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