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.
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.
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.