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I must say, studying a Master's open your eyes in many ways. One of them is the know-how about how to actually do business with IT. As a Computer engineer, all IT is just IT. ITAM gives a very good program called MTIA which it is in my opinion, the perfect bridge between IT and business management. It will give you the tools to monetize the technology. I might think the MTIA program might see the future of the FinTech in a very naive way (the program, at least in 2007-2010, did not have any subjects related to cryptocurrencies).

I must recognize I delayed getting into cryptocurrencies. Although I was aware of Bitcoin, I did not take it seriously because I was not able to go to Walmart and pay with it. At that time I did not completely understand how to convert the cryptocurrency to my local currency.

In late 2016, I started to study the cryptocurrencies and built a little miner. After some readings and studies about the cryptocurrencies fluctuations, its relationship with trading, and financial impacts, I took the call not only to mine them but to make them as much as profitable I could. I decided to start trading.

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One of the things I have learned when coding Trademinator is that you can not have the same strategy when you have a bulling or bearing market. When a market is bulling, the smartest thing you could do is holding until you reach an inflection point before selling; when you are in a bearing market, you sell to prevent losses as soon as possible.

There are many ways to detect the trend: bearish, neutral, bullish. The DMI and ADX metrics are for that, but they require CPU power. After giving a thought, I came with one solution from my own which it requires much less CPU. I will talk about one I have come myself.

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When you are doing day trading one of your firsts concerns is how much to trade. If this is your first trading experience, you will learn that it is a smart move to have a diversified portfolio; do not put all your eggs in the same nest. Also, do not bet all in one trade; trading is a bet with all the technical analysis behind to reduce the loss risk, but at the end of the day it is still a bet.

With all that said, you will need to define a percentage per bet. For example, I like to bet 2% of my capital per trade. I will talk about how to know how much money that 2% means.