Try Quests to earn cryptoTornado Cash Addresses
On August 8, 45 addresses were announced by the US Treasury to enter the sanctions list
According to the official report of the Treasury website, the following reasons have caused these sanctions
> The United States on Monday imposed sanctions on virtual currency mixer Tornado Cash, accusing it of helping hackers, including from North Korea, to launder proceeds from their cyber crimes.
In the following, we will take a look at these 45 announced addresses
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
In this analysis, with the help of announced addresses and flipside data I will check the following questions
- Which of the Tornado Cash addresses received the most # of transactions in the last month, quarter, year
- Which addresses received the most transaction volume (worth) in the last month, quarter, year
- Over all the addresses, group the transactions into buckets by value.
- How many tx in the 0.01-0.1 ETH range went to Tornado?
- How many in the 0.1-1ETH range?
- How many in the 1-10ETH range?
- How many in the 10-100 ETH range?
- How many above 100 ETH? (split further if better)
Important note: The last column of this chart should be considered on the left side It can be seen that the most famous statistical graph has also shown itself in this data and we are witnessing a normal distribution (of course, if we want to be more precise, we can say that this graph does not have a normal distribution!) The largest batch is equal to 1-10 Ethereum And the smallest is in the range of 0.01 to 0.1
Conclusion of the previous two part
It can be seen that the 91-day and 30-day charts are very similar to each other in both parts, and therefore it can be assumed that little changes have occurred in the amount or number of these charts in the last 90 days. In both parts, for the number and amount of graphs that represent the total value, it should be kept in mind that the numbers of these graphs are related to one year.