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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.

$9.90

Time based moving average

Time based moving average

A time-based moving average is a technique used to calculate the average of data points over a specific period. Unlike traditional moving averages that use a fixed number of samples, a time-based moving average adjusts based on the actual time that has passed. This method is useful in scenarios where data sampling intervals are irregular or where the importance lies in the time duration rather than the count of samples. This is mostly the case in non-time based timeframe such as Renko.

$9.90

Picture of SineWMA

SineWMA

The Sine Weighted Moving Average (SineWMA) is a type of moving average that uses a sine function as a weighting mechanism for price data. Unlike simple or exponential moving averages, the SineWMA applies weights in a sinusoidal pattern, giving more emphasis to certain data points based on their position in the series. This can make the SineWMA smoother and potentially more responsive to cycles in market data.

$0.00

Risk Disclosure: Futures and forex trading contains substantial risk and is not for every investor. An investor could potentially lose all or more than the initial investment. Risk capital is money that can be lost without jeopardizing ones’ financial security or life style. Only risk capital should be used for trading and only those with sufficient risk capital should consider trading. Past performance is not necessarily indicative of future results.

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.

Testimonial Disclosure: Testimonials appearing on this website may not be representative of other clients or customers and is not a guarantee of future performance or success.