Skip to main content

EurX VertexFX Indicator

The EURX indicator is a powerful VertexFx client-side indicator script that calculates the Euro Index in real-time.
The Euro Index is a powerful macro-economic indicator that presents a composite view of the European currencies. It is calculated from five major European currencies, namely EURUSD, EURGBP, EURCHF, EURJPY and EURSEK (Swedish Krona). 
The calculation of the Euro Index is as follows, 

34.38805726 x Pow(EURUSD, 0.3155) x Pow(EURJPY, 0.1891) x Pow(EURGBP, 0.3056) x Pow(EURSEK, 0.0785) x Pow(EURCHF, 0.1113)

where Pow(currency, exponent) is the exponent (power) of the currency value.

The main Euro Index labeled EURX is plotted as a thick line. The indicator also plots two moving averages of the EURX, namely the short term and long term moving average. The periods of these averages can be configured and changed by modifying the SMA_PERIOD_SHORT and SMA_PERIOD_LONG respectively. The EURX depicts the strength of the Euro against the five major currencies, namely the US dollar, the Japanese yen, the Swiss franc, the British pound and the Swedish kroner. A rising EURX index implies that the Euro is gaining strength against other currencies, and a falling EURX index implies the Euro is weakening against the other currencies. Therefore, we buy when the EURX is rising and sell when EURX is falling. The short term moving average provides a reference as to when to buy or sell the Euro based on the EURX indicator.

BUY : Enter a BUY trade in any of the Euro denonimated currencies, namely EURUSD, EURGBP, EURCHF, EURJPY or EURSEK when the EURX indicator crosses above its short term moving average.

SELL : Enter a SELL trade in any of the Euro denominated currencies, namely EURUSD, EURGBP, EURCHF, EURJPY or EURSEK when the EURX indicator crosses below its short term moving average.

Comments

Popular posts from this blog

MaksiGen VertexFX Indicator

MaksiGen Range Move is a simplistic VertexFX client-side indicator script that generates BUY and SELL signals based on trading ranges, and range breakout methodology. The concept behind the indicator is to find the Highest Highs and Lowest Lows over a shorter period and a longer period. If the Highest Highs and the Lowest Lows are identical, it implies that the market is range bound over the specified range, and a breakout is possible. The idea is to trade the breakout on either side, using BUY-STOP or SELL-STOP trades. In the first step, we calculate the Highest High and the Lowest Low over the recent PERIOD FAST bars. These levels are displayed by SILVER dotted horizontal lines. In the second step, we calculate the Highest High and the Lowest Low over the recent PERIOD SLOW bars. Once again, these levels are displayed by SILVER dotted horizontal lines. Trendlines are drawn between the two Lowest Low levels and Highest High levels in GOLDEN color. The trendlines typical for a ...

Double Smoothed AMA VertexFX Indicator

Double Smoothed Adaptive Moving Average (DSAMA) is a VertexFX indicator based on the Simple Moving Average (SMA) indicator. One of the biggest drawbacks of the SMA is the presence of lag which delays trade entries and exits. The DSAMA indicator offers three advantages of the SMA indicator. First and foremost, unlike the fixed period of the SMA, the period of the DSAMA is adaptive and is calculated based on a fast and slow period range. As a result, it shows a better response than normal SMA. Secondly, by using a smoothing algorithm, the lag is reduced thereby allowing traders to enter and exit trades faster before the price has moved too far away. Building the Indicator: In the first step, we calculate the greatest and smallest value of the price over the recent PERIOD candles. Based on the greatest, smallest, and the current value, the smoothing coefficient is calculated. Finally, the two levels of smoothing are applied, one using the FAST_PERIOD and then using the SLOW_PERIOD to red...

Adaptive ATR VertexFX Indicator

AdaptiveATR is a VertexFX indicator built based on the Average True Range (ATR) indicator. The Average True Range (ATR) provides information about the volatility of the price. However, one of the drawbacks of the ATR is that it does not provide the direction of the trend, or change in direction. The AdaptiveATR overcomes this drawback by using an adaptive feedback mechanism for calculating the ATR. The original ATR uses High, Low, and Close prices for calculations, whereas AdaptiveATR uses only High and Low prices. As a result, it exhibits a greater sensitivity to volatility and change in direction. In the first step, we calculate the average price based on the High and the Low. In the next step, we calculate the difference of the Average price from its previous Average price. Using concepts of signal-processing, the noise factor is calculated based on this difference. Finally, we subtract the noise from the accumulated Difference over the specified ATR Period. When AdaptiveATR is ris...