about product

Parabolic SAR (PSAR)

The Parabolic SAR (Stop and Reverse) is a system of defining the point of trend's turns; The Parabolic SAR (PSAR) indicator is based on the link between a Forex market's price and time. The basic goals of the Parabolic System is to make reverse orientation of trading positions when the ongoing trend turns. The indicator is called like that due to the fact that when charted, the pattern resembles a parabola or French curve.

Commodity Channel Index (CCI)

The supposition on which the indicator is based consists that all actives move under influence of definite cycles, and maxima and minima appear with definite intervals. CCI corresponds to oscillators, measuring speed of price fluctuations. The index demonstrates a deflection of the ongoing price from its average value. Lambert developed a constant at a level 0.015 that approximately from 70 up to 80 % of CCI values were between levels -100 and +100 -- for the purposes of measurement.

Chaikin's Volatility

With the help of the Volatility Chaikin's indicator you can measure the distinction between high and low prices which clearly demonstrates peaks or falls of the Forex market.

DeMarker (DeM)

DeMarker Indicator which demonstrates phases of price depletion which usually correspond to price highs and bottoms fluctuates from 0 up to 1. The turn of the prices downwards is expected if the parameter of the indicator moves above a mark 0.7. The turn of the prices upwards is expected if the indicator moves below a mark 0.3.

Exponential Moving Average (EMA)

To measure an exponential moving average you should unite a definite percentage of the actual value with an inverse percentage of the latter value of the exponential moving average (e.g., if you've given 25% weight to the actual value, you should sum up 25% of the actual value to 75% of the previous moving average to get the actual moving average). To define the corresponding weight which previous values should be given you should use the period. To determine the percentage you use the formula 2/ (period+1) (e.g., a period of 7 will result in 25% (2/ (7+1)) of the actual value and you use 75% of the previous exponential moving average value).

Fast Stochastic Oscillator (Fast STO)

The Stochastic Oscillator consists of 2 lines - %K line and %D line which fluctuate between 0 and 100 on a vertical scale. The %K which is the main of two is depicted as a continued and unbroken line. The %D line is a moving average of %K. and is depicted as a dotted line. The Fast Stochastic is the average of the last three %K and a Slow Stochastic is a 3-day average of the Fast Stochastic. Use as a purchase/sell signal generator, purchasing when fast moves are higher then slow and selling when fast moves are under slow.

Moving Average Convergence/Divergence (MACD) Histogram

MACD indicator signals have a possibility to be delayed after the price movements. The MACD Histogram tries to find a solution for this situation by indicating the MACD and its reference line, which is the 9-day Exponential Moving Average, divergence through drawing the reference line near zero. According to this, MACD Histogram is able to show price trend changing beforehand unlike the general MACD signal.


he Momentum indicator calculates the value of the commodity price shifts during a definite period of time. The main ways of using this indicator are the following: Momentum is used as a leading indicator. This tool uses the notion that as a rule the last phase of upward tendency is followed by absolute price increase because everyone is sure that it'll go on. In its turn, the closing of the bears' market is usually followed by absolute decrease in prices because everyone seeks after leaving the market. This is a rather usual situation in the market but it's important to understand that still it is quite a general conclusion.

Moving Average (MA)

The MA indicator (Moving Average indicator) is one of the oldest technical modern indicators and the most often used indicator in technical analysis. A moving average is an average of a shifting body of data, as seen from its name. For example, a 10-day moving average is got by adding closing prices for the last 10 periods being measured and dividing by 10. The term "moving" is used as only the last 10 days are used in the measurement. That's why the data body is averaged shifted forward with every next trading day.