Hello. I'm new in Qtum Staking process so I have some questions. I would glad to receive any helpful information to sort it out.
Clue by clue I found an advice to split my UTXO by a small chunks. Different sources recommend a different utxo size. It's 250 - 400 coins according to a first source, 150 - 450 coins - to second one and 500 coins - to replies on this forum. Also I have explored last mined blocks and noticed that an actual chunk size differs between approx. 100 and 1,000 coins.
So my questions are:
- What is a technical reason of splitting utxo beside of utxo "lock out" period in a staking process for a next 500 blocks?
- What is a best size of utxo to improve a reward probability?
Once my wallet staking weight includes matured utxos only, does it mean that a probability of getting a next reward is different each time I'm getting a current reward and depends on a count of matured utxo at any moment? Means if I have 5,000 matured coins splitted by 5 utxos 1,000 coins each and a network weight is 15,000,000 then first time I have a weight 5,000 and probability 5,000 : 15,000,000. Once any of my utxo has mined a block it will lock 1,000 coins out so I will have 4,000 mature coins, 4,000 weight and 4,000 : 15,000,000 probability which is less than first time right? Yes, actually it will be 4,000 : 14,999,000 in a static blockchain but since it's a dynamic one we can take a network weight for a big constant value to determine a best utxo size. By this logic the best strategy is a splitting utxo by a minimal possible size to let my reward probability stay a quite constant too. A reward probability downgrading from 5,000:15,000,000 to 4,000:14,999,000 (with a 1,000 coins per utxo; for a next 500 blocks) is worse than let's say a downgrading from 5,000:15,000,000 to 4,999:14,999,999 (with a 1 coin per utxo), isn't it? If it would work like that then why don't we get more blocks with utxo = 0.00000001 coin?
Please tell me if I even close to a truth and correct me. I would appreciate any vectors of information to learn into.
Thank you in advance.