You might think that only the highest-level traders might avail of the low fees that KuCoin is boasting about. Luckily, even at the base rate, KuCoin still has one of the lowest trading fees around, at only a 0.1% fee for every transaction.
Closing and opening bot will takes a trading fee. If you often open and close a bot, you will pay several fees. Since usually negative funding fee value is small (something like -0.001%-0.01%) , you can take the loss instead of paying double fee for opening and closing the bot
Of course if you feels like the funding fee will keep negative in several weeks, it is better to turn it off and pay the trading fee rather than to take 2 weeks of negative funding fee. You can make your own decision whether to stop or to keep continue expecting the funding fee will turn into positive.
Traders will find Pionex to be a good low-fee choice since its trading fees are incredibly competitive at only 0.05%, and there is no minimum transaction volume requirement. Rather than having to worry about every trade taking a bite out of your earnings, you can just sit back and let the bots do their thing.
Consider the scenario of teaching a dog new tricks. The dog doesn't understand our language, so we can't tell him what to do. Instead, we follow a different strategy. We emulate a situation (or a cue), and the dog tries to respond in many different ways. If the dog's response is the desired one, we reward them with snacks. Now guess what, the next time the dog is exposed to the same situation, the dog executes a similar action with even more enthusiasm in expectation of more food. That's like learning "what to do" from positive experiences. Similarly, dogs will tend to learn what not to do when face with negative experiences.
Now, Value-at-Risk is a complicated metric as it's not super super intuitive to visualize as there isn't a direct formula. Value-at-risk (VaR) is very straightforward: what is the maximum capital am I risking at any given point in time in the portfolio (i.e. the average value at risk at any given point in time). Think of it as like a sample of the means. Thus, we use a confidence interval to determine how confidently we can estimate the value at risk. To do this, we take your returns and create a normal distribution (wow the stats is all coming back ?) now that's great and all. But a faster way to do this is to sort all the returns (from negative to positive as they will naturally create a normal distribution), and take the associated confidence interval. 2b1af7f3a8