Try Quests to earn cryptoTransactions on Wormhole
Assess transaction size & volume of transactions on Wormhole. Define a number of buckets, e.g. Minnow, Fish, Whale, and group the transactions into them. How many transactions are in each bucket?
In this chapter, we will analyze the transactions on Wormhole. What is Wormhole? It is a platform used as a token bridge that allows users to seamlessly transfer tokenized assets across Solana, Ethereum, BSC, Terra, Polygon, Avalanche, and Oasis.
In this case, we will study what happens on Terra ecosystem in two main analysis.
A global analysis:
- Total transactions
- Total volume
Analysis by groups (Big whales, Whales, Fishes, Minnow and Prawns - criteria shown in the next section):
- Distribution of transactions per group
- Number of transactions en volume per group
- Plot area representing the transactions per group
- Plot area representing the volume per group
The results of the first analysis concluded that a total of 33800 transactions has been done on Wormhole Bridge in Terra, and a total of almost 23B of volume has been moved.
Analysis per group
The following criterias have been taken into account:
- Big Whales: transactions with more than 100M USD volume moved
- Whales: transactions between 100M USD and 1M USD volume moved
- Fishes: transactions between 1M USD and 50k USD volume moved
- Minnows: transactions between 50k USD and 1k USD volume moved
- Prowns: transactions with less than 1k USD volume moved
From all the analysis we can extract several important thinks:
- The donut shows that the major of transactions have been made by groups that represents the transactions with less volume. More than 90% of transactions have been done per Minnows and Prawns. The whales represents the 1.54% of the transactions and the Big whales a 0.01%.
- From the second chart, we can see how even the big whales are the group with minor transactions, the major part of the volume came from this group. In fact, the order is inverted for the volume, so the second group with the more volume are the whales, and so on.
- Finally, observing and analazying thearea charts, we can corroborate our results. So in the first chart, which shows the transactions, we can see the big areas on the groups with trasnsactions with less volume. Instead, the second volume chart, shows that the groups with transactions with high volume have the dominance in this case.