Average Optimism Portfolio (redux)
What does the average Optimism user's portfolio look like and how has that changed over time? What % of a user's activity (in OP terms) is staked, unstaked, in liquidity pools/farms, in NFTs? How has this trend changed over time?
in the first step I want to show you top 10 action that order by transaction number.
as you see most of the action related to the general-contract and get more than half of the total transaction, and as you see after this action most of the transaction related to the bridge and you see that about 10 percent of the transaction related to the bridge, and after that time to the swap you see that percentage of the bridge and swap had a difference about 1.5 time.
so as a total view we see that by the order in the transaction number the first action is:
1- general-contract
2- bridge
3- swap
and I want to add that NFT is in the fifth place by 3.62 % of the transaction.
and upper graph is for the transaction number, after this part I want to analyze the action number by the user number.
in this part I want to analyze the action number by the user number order.
as you see in this part every thing is different because percentage of the action was close to each other,
you see that in this part bridge is in the first place by the 20% of the total action and after that general-contract is in the second place by the 18.6 percent of the total and after that in the third place there is token-contract by the 18.2 percentage of the total. and NFT is in the forth place by the 14.2 percent of the total.
so as a total view we see that by the user number order percentage of the action is too close to each other, and it is different from the previous part.
after this part I want to found the uppers actions event types and as the question ask us I divide this event for four part.
in this part I want to found the user activity in the four part.
as you see most of the transaction is related to the stake part and you see that it is about half of the transaction in the top 4, and after this action you see that NFT is get the most of the transaction and you see that percentage of the NFT is close to the stake part , after this two that get more that 90 % of the top four , it is time to the farm and unstake that both of them are close to the just 5 % of the total market.
after this part I want to analyze the total of the top four, graph by graph.
in the previous part we see that most of the transaction are related to the stake part and in this part I want to analyze this action.
as you see in this part from the first of the year until 2 Jun transaction umber of the stake increase and after this time up to the 12 Jul this number decrease and after that this number increase up to now.
and as you see in the upper chart the min number of the transaction is related to the 29 Dec -5 Jan, and as you see the max number is related to the now.
so after this time lets analyze the unstake part.
we know from activity user that number of the unstake transaction was too low than other and from the chart we can easily see this action as you see in the first of the year number of the unstake was very high and when we reach to the end of the year we see that this number decrease.
and if you pay attention to the previous part, both of the stake and unstake had a opposed reaction to the chart, becaouse as you see when the stake number increase , unstake number decrease and by decreasing the stake number unstake number increase.
so we see from chart that in the stake part by the end of the year number of the transaction in the stake increase and as you see in the ustake part this action decrease.
by look at the user activity we see that the second most transaction related to the NFT part.
and in this part we analyze the NFTs chart, as you see after 14 Apr number of the transaction in the NFT increase.
and as you see before this date transaction of the NFT was half of the after this date so we can say that after this date number of the transaction increase by the 2 time and as you see after this again we had movement from chart,
and after 24 Sep number of the transaction in the NFT again started to decrease up to know and we see that in the stake part in this date transaction number increase and in the NFT after this date decrease, so we can get this conclusion that after this date user of the NFT go to the stake part.
as a final analyze it is time to the farm lets check graph of the farm in the final step.
conclusion
in this part we analyze the user activity and after that analyze the each of them part by part.
and the result are:
- in the first part we see that most of the action is related to the general-contract by the most of the half transaction and after that bridge was in the second place by the 10 % of the transaction.
- in the divide of the action by user number we see that user number is opposed from transaction number, because percentage of the user number was close to each other.
- in the most of the transaction that related to the user number we see that most of the user number is related to the bridge by the close to the 20 % of the total. and NFT was in the forth place.
- in the part of the user activity most of the transaction are related to the stake (49 %), and after that NFT (44 %) and after that farm and unstake.
- in the stake part we see that by the time stake transaction number increase, and the max number of the transaction is related to the now.
- by the check the ustake graph we see that both of the stake and unstake had the opposed reaction to each other, it means that by increase the one of them the other one decrease.
- in the NFT part, we take the chart for two part before 14 Apr and after 14 Apr, and the second part in two time had more transaction from first part
- in the NFT part, after 24 Sep transaction number of the NFT decrease and it may that this transaction go to the stake part because after this part stake transaction increase, so user of the OP prefer to stake their amount instead of the NFT.
- chart of the FARM had a large number of the movement in up and down, and had no any form with other charts.
thank you because of your attention.
as a final step I want to analyze the chart of the farm.
you see that from the first of the year transaction number started to increase and after that again decrease and we see that again this increase and decrease happen.
as you see chart of the farm had no any form that get conclusion but we can say that in the low number had 1 transaction and a a high this number was 408.
and we see that chart of the farm had a large number of movement in increase and decrease.
what is OPTIMISM
Optimism is built according to a strong design philosophy that stands on four main pillars: simplicity, pragmatism, sustainability, and, of course, optimism. It's important to understand these pillars as they heavily influence the design of Optimism as a whole.
Optimism is designed to be as simple as possible for the featureset it provides. Ideally, Optimism should be composed of the minimum number of moving parts required for a secure, scalable, and flexible L2 system. This simplicity gives Optimism's design a number of significant advantages over other more complex L2 constructions.
Simplicity reduces engineering overhead, which in turn means we can spend our time working on new features instead of re-creating existing ones. Optimism prefers to use existing battle-tested Ethereum code and infrastructure where possible. The most visible example of this philosophy in practice is the choice to use Geth as Optimism's client software.
When dealing with critical infrastructure, simplicity is also security. Every line of code we write is an opportunity to introduce unintentional bugs. A simple protocol means there's less code to write and, as a result, less surface area for potential mistakes. A clean and minimal codebase is also more accessible to external contributors and auditors. All of this serves to maximize the security and correctness of the Optimism protocol.
Simplicity is also important for the long-term vision of Optimism. By limiting the amount of code that we write on top of Ethereum tooling, we're able to spend most of our time working directly with existing codebases. Engineering effort that goes into Optimism can also directly benefit Ethereum, and vice versa. This will only become more pronounced as the Optimism protocol solidifies and existing resources can be redirected towards core Ethereum infrastructure.
What are the benefits of practicing optimism?
The different benefits of optimism make it an attractive virtue for everyone to have. Below are some of the benefits:
Less stress
Optimism saves you from both physical and mental stress. It helps you to be more hopeful and positive. A hopeful feeling or person keeps seeing the positive aspect of any challenge, freeing them from stress.
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Higher-income
If an optimist can challenge themself to be productive, then earning a higher income is not far-fetched from them. Optimists also have chances to relate better with colleagues and officials in their workplaces.






