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I think this thread hook could be improved.
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I think this thread hook could be improved.
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Our goal is to help you win in web3. Good data, tools, and community analysis boost transparency and help you make the best decisions possible.
So, here are two mega-dashboards on the state of @SushiSwap to help you DYOR π§΅π£:
1. This Kashi dashboard by @__elmiaON__ can help you keep macro context β
First by displaying where users are and how they're behaving:
Then by placing that behavior into a larger growth/decline narrative:
With proper perspective, deeper dives yield more fruitful insights β
The concentration of deposits by unique users between WETH/USDC, WMATIC/SUSHI, and WMATIC/USDC suggests clear favorites in $SUSHI and stablecoins on @0xpolygon:
But total transaction value outcomes aren't consistent with user count, with far more value accrual in $SUSHI and $ETH pools on Ethereum.
Greater numbers of users on Polygon and higher values on Ethereum seem to be consistent with broader trends in DeFi (which many attribute to tx fees, average wallet balance, and other factors), though there may be other causes to investigate.
If you're looking for extra yield, you can explore KM token staking behavior for maximal returns (NFA):
In this case, @arbitrum outpaces Ethereum:
Staked KM tokens on @arbitrum more than double TVL growth, likely concentrating yield, where the opposite is true on @ethereum, which in most cases sees far less than 50% of value staked relative to inflows.
2. This @SushiSwap mega-dashboard by @thekakamora is a work in progress. You're not supposed to be seeing it yet.
But we pulled a few strings to be able share certain sneak peeks:
First, top pools β
stablecoins $USDC and $USDT comprise a majority of the top weekly swaps, respectively, in their WETH pools.
It's not surprising that the most common @SushiSwap transaction on Ethereum is buying and selling $ETH.
In terms of volume, the same major trends apply, unlike with Kashi.
The elephant in the chart, though, is
what happened in May? And why do volumes continue to decrease, even beyond prior averages?
An apparent answer is the peak of bull mania and seeming sudden thrust into the bear narrative we all experienced in Q2 β
Comparing the previous two charts, we notice volume decreased dramatically more than number of swaps,
suggesting users are just less active in the bear.
How has yield been affected?
It appears to decrease in relative proportion to swap activity:
The same is true for provider yield, which doesn't immediately point to massive liquidity withdrawals:
And the @SushiSwap community is evergreen β
growth is consistently strong. The platform grew by nearly a million new users over the past two years:
These two dashboards should give you a macro understanding of the state of @SushiSwap π£, but there's much more at your disposal.
To DYOR and win with $SUSHI, you can dig into the data and make your own dashboards to share at flipside.new.
stay π c u r i o u s π