Segue a tradução para o inglês:
Good morning everyone,
I started playing poker in 2018. During this time, there were many occasions when I did not respect or follow proper bankroll management. I have always been profitable on every
poker site I play on. At the micro stakes, it is not difficult to be profitable if you study and respect the ranges for each position.
One way to learn bankroll management is exactly what you are already doing: looking for information. The second step is to never play above the limits your bankroll can support. For example, if you have a $100 bankroll, you should only play $1.10 games. If you are profitable, when your bankroll reaches $220, start playing $2.20 MTTs. When your bankroll reaches $330, move up to $3.30 MTTs. By doing this, your chances of going broke will be minimal.
If you play cash games, use the same logic, although I believe the minimum should be 50 buy-ins.
Many times I made the mistake of playing stakes that I should not have been playing. I remember one time on GGPoker when I kept building my bankroll until it reached $150. Then I started playing $10 Spin & Go tournaments. When my bankroll dropped to $100, I moved up and started playing the $50 ones. The result was a busted bankroll in less than one hour.
Respect your limits and keep studying. I have been playing poker since 2018 and should probably be playing $20, $30, or even $50 MTTs by now. However, because I never respected proper bankroll management, I am currently playing $1.10 and $2.20 MTTs, along with many
freerolls, to earn a small income. People who started at the same time as me, or even later, have moved up in stakes and now play much higher buy-ins. Whenever I won money, I would cash it out.
Bankroll management is a set of rules that defines how much money you can risk in each
poker game in order to avoid going broke due to variance (the natural ups and downs of the game).
Why is it important?
Even profitable players go through long losing streaks. Without a proper bankroll, you can run out of money before your statistical edge has a chance to show itself.