Who else is new in the world of forex trading, first must learn forex trading and there from the base. Basics can be learned in many ways, for example through seminars, tutorials or reading specialist. Are the basics appropriated, it comes with advanced knowledge. Essential for successful trading is doing the technical analysis in forex and so you should understand as well as possible in this area. To analyze the performance of an underlying asset, traders can use different tactics and one of them is the forex EMA strategy that we want to introduce you in greater detail below.

### Five Tips for EMA Forex Strategy

- Strong weighting makes Ma’s «attention», but also «vulnerable»
- EMA crossover can be used as a private trading signal and as a trend filter
- Beware of over-optimization by adaptation to strong ad past
- Importing Forex EMA crossover systems in MT4 allows the practical evaluation of period lengths
- Each Forex EMA strategy should be considered historically different trend phases

## 1.) What is it about the Forex EMA strategy about?

Each Forex EMA strategy is based on exponentially weighted moving averages, their interfaces can be used as trading signals or trend filter.The success of the systems to deliver it with the choice of periods and smoothing, in a conflict of objectives must be optimized. **Exponentially weighted moving averages down as each MA from the courses a certain number «n» of periods (days, hours, minutes, etc. .) together**. For simple moving averages all courses are incorporated with the same weighting in the average. If linearly weighted averages younger classes are weighted more heavily. The weighting takes on constant with distance to current market. For exponentially weighted averages smoothing the courses carried out is not linear but exponential with a smoothing factor (z. B. 0.30).

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Conclusion: **The principle of forex EMA strategy based on the determination of moving averages, the interfaces can be used among other things as trading signals. In particular, the choice of periods and smoothing is crucial when it comes to the success of a strategy EMA.

## 2.) The main features of the EMA strategy

The smoothing factors are mathematically considered used as powers and take most of values from 0.10 to 0.90 in. **The smaller this value, the stronger the smoothing of a moving average of that varies the less its line in the graph**. This is because the weight of the recent rate is also low with a very small smoothing factor. A crossover strategy naturally requires at least two moving averages. The construction of averages determines which of the two averages of «faster». This faster average generated trading signals by the crossing of the slower average.

*Conclusion: **The smoothing factor EMA strategy in principle be used as powers. The smaller these values are, the stronger the smoothing of the corresponding moving average. A variant of the EMA Forex Strategy represents the so-called crossover strategy that requires at least two moving averages.
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## 3.) Smoothing the second order: How it works

Many EMA systems consist of two averages with different number of periods. Also possible is the construction of an EMA of two other EMAs (z. B. As a difference between the two). A fundamental trade-off is all the signal systems based on moving averages in common: **Are the averages are very sensitive, they deliver in incipient trends very early signals**, which are however not uncommon to «false alarm» is.Are the averages against it «sluggish», they hit only at a later stage trend, resulting in a lower error rate, as well as a later entry with it. In practice (and thus in many commercial systems) exponentially weighted averages of the second order are used very frequently. This is to EMA of EMA: An already gewichtetet average is weighted even one more time. These averages are in trending closer to the market as a means of first order.

**Conclusion: **In addition to averages of the first order, second order are also often averages used in practice. It is EMAs of EMAs and such averages are much closer to the market as it is the case with averages of the first order.