What the Tech? Matrix Verification Masternode June/July Earnings Report
Updated Matrix Verification Masternode participation incentive statistics!
Since April, the Matrix AI Network has been publishing regular Verification Masternode participation incentive statistics. The Matrix AI Network’s participation incentives will continue to adapt, change and normalize over time. As this update contains data for two months, there is a less obvious statistical fluctuation. These reports help highlight the real impact of the numerous network adjustments and upgrades. For basic information about Matrix Masternode participation incentives, please read “An Introduction to the Matrix AI Network.”
· One data sample is used: June 1st 2019 to July 30th 2019
· Data only considers block rewards. Stake rewards and other incentives such as airdrops are not included in this calculation
· Only Verification Masternodes that have been online for at least 2500 total minutes and never receive incentives are included to ensure greater accuracy and scalability of results
· Punished Verification Masternodes that have been forced to forfeit selection opportunities are included in the data. The Matrix team will consider excluding punished Masternodes in future reports
Verification Masternode Annual ROI — June 1st 2019 to July 30th 2019
Between June 1st and July 30th, 2019, a total of 186 Verification Masternodes were online for at least 2500 minutes. The number of recorded Verification Masternodes per stake level is as follows:
Deviation between Stake Levels
There are several factors contributing to this including the relatively low minimum uptime requirement for inclusion in this data set (2500 minutes) and the unequal number of nodes at each stake level. Raising the sample size to being online for over 5000 minutes or 10,000 minutes illustrates this phenomenon. Additionally, if there are only a small handful of nodes in a given stake level, a single malfunctioning node can skew the data.
1. Why is there relatively little statistical fluctuation compared with previous reports?
This is because the sample size covered two months of data rather than a single month.
2. Why is the annual ROI for nodes in the 700,000 to 800,000 level so low?
With only 3 nodes at that level, a single malfunctioning node had a large statistical impact and pulled down the average. The statistical impact of a single node is lessened in more populous stake levels.
If you find that your current performance differs greatly from the data listed above, please send an email to email@example.com or contact a member of the Matrix team on Telegram.