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This dashboard reveals the in-depth details of the new users in our ecosystem and also tries to give an overview of the different measures over time.
Introduction
Taking Advantage of Threshold Signature Schemes (TSS). It doesn't peg or wrap assets; instead, it decides how to move them in response to user input. To fix prices, THORChain relies on its continuous liquidity pool architecture and arbitrageurs. Arbitrage bots trade to equalize pools when they become unbalanced. Because RUNE ties all pools together, THORChain is aware of the exchange rates between external asset pairings.
Methodology
The query here initially looks into the number of users in the ecosystem for the whole duration as well as for two time periods as well as the users who had been part of the Liquidity Providers and hence have an open position in Thorchain Liquidity. Further than the other parts such as the volume of Liquidity over time and also the balance of the RUNE available are also accounted for, They are also aggregated for in each of the time periods.
From the transfers, the users in the ecosystem is displayed here and it is for the whole period of time.
The users who had transacted before 6 Months are calculated again then displayed here to get an idea about the activeness of the ecosystem.
In the last 180 days, the recent users who have joined the community are displayed here. Now let us look at the LP positions
The total LPers in the ecosystem where the people have a static position in the liquidity provided is calculated here and it is for the whole period of time.
The displays of the LP ers before the past 6 months in the ecosystem where the activity of the users had added liquidity is considered here.
The recent users in the Liquidity are calculated for and are displayed here. It is seen that the users are comparatively lesser than the past 6 months.
The table here shows the users that are aggregated for the period of time as it displays the details such as Liquidity providers and their volume of Liquidity and also the users and their balance.
The users are charted here with the date grouped on the x-axis and it displays that the new users are comparatively fewer and the highest number of users was 2429 in a single day.
The balance of the RUNE amount in the wallets of the users over date is calculated and is charted here and the highest value of the RUNE amount is 261.1M
The Liquidity Positioners over the date are chosen here and their count is aggregated for the same period of time.It is not about the distinct users in the ecosystem but about the LP-ers.
The liquidity added is displayed here and then the added liquidity volume is also charted over time and then the highest volume is 5.3M.
This charts the growth of the ecosystem in terms of Balance RUNE, Liquidity Added, Liquidity Providers, and Users and it shows that it overall follows the same trend over time .
The data here displays the count of the users or the Liquidity positioners over time is calculated and charted here.
The chart here displays that the data is updated for the case of LP positioners over time and it displays that the highest number of users in a single day is 2118.