Saber and daoSOL

    Saber is the leading cross-chain stablecoin and wrapped assets exchange on Solana. As we learned in the scavenger hunt last week, you can create a liquidity pair with staked SOL from the MonkeDAO created DAOPool with SOL to earn additional yield on Saber. Since the start of February, how much liquidity has been deposited in the daoSOL-SOL pool per day? How many unique wallets have added liquidity to that pool since February 1st? Create a visualization showing liquidity trends with this pool.

    Introduction

    Saber and MonkeDAO became partners on the past December 19th to enable daoSOL liquidity on Solana. daoSOL is a new liquid token created by Monkedao, the leading NFT DAO on Solana.

    To obtain daoSOL, users can bet SOL on monkedao.io. This allows users to earn a return on the stake while retaining their SOL liquidity for use in DeFi applications. daoSOL is delegated to DAOs and community validators across the Solana ecosystem, helping to improve the decentralisation and security of the network. Then, this earned daoSOL can finally be deposited on the Saber platform as liquidity for further rewards.

    In this dashboard, we will analyze how much liquidity has been deposited in the daoSOL-SOL pool per day and also how many unique wallets have added liquidity to that pool since February 1st.

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    Methodology

    • Source: To do this task, I take into account the Solana Events table to obtain information about the daoSOL-SOL liquidity transactions.
    • Filters: Then, I have filtered the events table by date selecting days after February 1st. The other important filters have been: index type that must be 4, and mint and mintAuthority must be 'monKYjV2bHTjbJVWCCcwhxE8C96sdTKR2HUNUHCjh4z' and '41CKnj1gy1AXQ1nf2dB9Ubst3QGHxjWkFLd78KLpGYsr', respectively. The first one to filter by platform MonkeDAO and the second one to filter by daoSOL-SOL pool. Both can be filtered inside the column inner_instruction, with the specific variables found in this direction --> inner_instruction:instructions[2]:parsed:info:. Finally, for depositors, I have taken into account the Authority variable addressed here: inner_instruction:instructions[0]:parsed:info:.
    • Analysis: To analyze the results, I have calculated the number of distinct users and transactions as well as the amount deposited in both cases, by day and cumulative over time.

    Results

    As a results, I have plotted the different variables obtained in the code. The charts below show:

    • Daily amount of SOL deposited and cumulative since February 1st
    • Daily unique number of depositors and cumulative since February 1st
    • Daily number of deposits and cumulative since February 1st
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    The results show that the amount of SOL deposited vary by day. While in the major of the days around 10 or 20 SOL have been deposited, it seems like there are 2 important days which coincidentally happen to be the first and the last day analysed, where 353 and 416 SOL have been deposited respectively. However, there are a big day in which the major of the volume deposited during this days were deposited that specific day. In February 5th, almost 10k SOL where deposited to the pool! Then, the cumulative SOL deposited where altered and jumped thanks to this day, and the total cumulative amount since February 1st is 11.17k SOL.

    The results in terms of depositors show that the number of users who deposit to the pool is very low in the major of the evaluated days. However, while in the major of the days around 1 or 5 different users have deposited to the pool, there was a big waves during Feburary 9th and February 12th where an abnormal number of users deposited SOL in the pool. The major peak was registered on February 10th with 695 unique depositors. The cumulative number of depositors is 1207k. Then, we can see how more than the half of these users joined the pool at the same day.

    Finally, regarding the number of deposits over time, looks equal to the previous chart about number of depositors. It occurred because of all users who deposited to the pool are unique users and any of them deposited 2 times, then, the number of users is the same as the number of deposits.

    Conclusion

    To conclude, we have seen the first NFT DAO pool on Solana, involving daoSOL and SOL tokens. We have seen as well that despite the daily deposits amount looks a little bit low, a big amount were deposited in a single day reaching almost 10k SOL. Finally, we have also seen that the number of users since February 1st exceeded 1k.

    What struck me about the results obtained in this analysis is that the day on which so many SOLs were deposited does not coincide with the day on which the most users entered the pool. It is a curious fact because on the one hand, on the day of the big deposit only 4 new users entered the pool while the day when almost 700 users deposited in the pool was like any other normal day. It could be a good future approach to analyze this fact and see why it occurred.