As a freelancer, business man or whatsoever the term could fit one of the biggest dilemmas I have had is the pricing. You can not give your time, knowledge and effort for free, but while competing against others, I have found that many customers take the pricing as the first factor. So, here it is a way I have found to make this very attractive without hurting my working effort. I hope this will help others as well.
The first thing is that this technique only applies when you are selling products with a scale scheme. For example, giving a course and billing per participant, building a server cluster and billing per server setup, software licensing, it could even apply for support hours if you know how to deal with that, but I wouldn't recommend for that.
When trading, one of the biggest question me and you will ever want to answer is knowing when to sell or when to buy. Just never forget, buy cheap and sell expensive; but the real question is when. If a pair is having a bullying trend, should I sell right away or wait because I may lose some potential earnings; on the other hand, if the pair is having a bearing trend, should I buy right away, or should I wait a little longer? Let's say trading is the art of predicting the future by knowing the past.
Thank god, trading experts have given us metrics and one of them is EMA. I will show you some very basic use of EMA to help you decide when to buy or sell.
The RSI is a momentum metric that helps to determine when it is a good moment to sell or buy. It's valued with nondimensional units between 0 and 100. The basic formula to calculate it is given by:
RSI(t) = 100 - 100 / (1 + RS(t))
RS(t) = Average gain of up periods during the specified t time frame / Average loss of down periods during the specified t time frame
The interesting thing on this metric is that it will work regardless the range of the variation. Thanks to this metric, you can see the likelihood of a given price. But, you can use it to know when to trade. Usually, when RSI returns a value higher than 70 it means it is a good moment to sell and lower than 30 it would be a good moment to buy.
With a little more of statistics, this metric could be used determine if a currency is a candidate for trading. For example, if a pair of a given time period hits many times the low and high thresholds, it could indicate the currency has enough fluctuations for trading. Of course, more conditions must meet.