Moving cashback forex are one of the most commonly used technical analys cashbackforexprofitcalculator indicators They facilitate the sorting of cashbackforexpipcalculator data cashback forex profit calculator make the direction of price trends easier to identify, especially in the volatile foreign exchange market where they play a major role because past price data is their core variable and they are considered lagging indicators Therefore, forexcashbackprofitcalculator averages are better suited to follow trends than to predict when a trend will start Given this characteristic of moving averages, we should first consider what they can do. This process is not a scientifically tested process, at least not at this stage. SimpleMovingAverage (SMA), ExponentialMovingAverage (EMA) and WeightedMovingAverage (WMA) are formed first by calculating the average of a currency pair over a specified period of time for most of them. Most moving averages are created using the closing price, but some are created using the opening price, the high and the low The above charts highlight the lagging nature of the indicator on price behavior, which means that it always lags behind the price and therefore gives misleading information when the price is not forming a trend. The most common of these are the Exponential Moving Average (EMA) and the Weighted Moving Average (WMA) mentioned above. The WMA takes the average of prices over a specific period of time and treats the data differently over the moving period. The more recent the price, the greater the weighting. The Exponential Moving Average (EMA), like the weighted moving average in general, has a greater weighting for the more recent prices, however, unlike other moving averages, it includes all historical data rather than data for a specific moving period at first glance, there is little difference between the Exponential Moving Average (EMA) and the Weighted Moving Average (WMA). However, the Exponential Moving Average (EMA) is always closer to the actual price action in terms of movement. Which moving average you use depends on the perception of how you trade and how the specific currency pair has reacted to it in the past. So, you must take these aspects into account and even find ways to apply them effectively. Some traders prefer to use Exponential Moving Averages (EMAs) over relatively short time frames to capture early trends, while others tend to choose Simple Moving Averages (SMAs) over longer time frames to establish long term positions A perfect moving average is the one that is used when prices are trending. A perfect moving average should reduce its lag when the price is trending, and at the same time keep it smooth when the price behaves sharply but there is no such perfect moving average, so we have to choose one as needed: either smooth or sensitive In fact there is no perfect technical indicator either, they all produce some so-called false signals When first approaching any of the indicators In order to perceive the sensitivity of the indicator to a specific currency pair and the reliability of the signal generator, they should be plotted on a chart and placed in different situations This puts the analyst in a dilemma about sensitivity and reliability: as a strategist and as a trader, the aim is to find a tool that will help you interpret and analyze the price behavior you see The above EUR/CAD chart doesnt tell you much? tell you much? Indeed, just one moving average may not be the best choice to build a trading strategy before a decline, the exchange rate fluctuates around the moving average and after a decline, the pair continues to show anomalous behavior without experiencing a major trend and does not give any signals on what to do and how to profit from the price behavior If you add a 50-day exponential moving average (EMA ), and the use of these two moving averages to generate entry signals, what would be the effect?  In the same chart, we can see the convergence of the exchange rate consolidation period sometimes it is difficult to determine when a trend stops and starts but should pay attention to the trading range period, breakthrough points (up and down) and the trend cycle while also paying attention to the direction of the intersection of moving averages and how to use them to determine the direction of the trend through the international online customer service: nine seven two eight seven zero one six   nbsp;The shorter the time period, the faster the moving average changes, the more responsive it is to price behavior, thus eliminating short-term fluctuations in price behavior Technical analysts usually see the intersection of fast moving averages through slow moving averages as a bullish signal, while fast moving averages under the intersection of slow moving averages as a bearish forex shout single signal