๐ฃShout out to @ArbitrumDevs !
Looking forward to representing @AlphaYields_AI at the Founder House in sunny London over the coming days. As well as connecting with founders, builders, mentors and sponsors.
A special thx going out to the following ๐
@GThabot from
987,000,000 transactions have gone with the Flow.
The countdown to 1 Billion is live. Watch the number flip in real time ๐งต
The road there is packed with precious moments.
Most multi-chain DeFi products treat chains as deployment targets. Cross-chain becomes a logistics problem: how do we get capital from chain A to chain B fast enough.
That framing misses the point. The chains aren't the problem. The dislocations between them are the opportunity. Cross-chain isn't logistics, it's signal.
Here's how the AlphaYields engine treats cross-chain conditions as information:
๐๐ฎ๐ฉ๐ฉ๐ฅ๐ฒ ๐๐ง๐ ๐๐จ๐ซ๐ซ๐จ๐ฐ ๐๐ฒ๐ง๐๐ฆ๐ข๐๐ฌ ๐๐๐ซ๐จ๐ฌ๐ฌ ๐ฅ๐๐ง๐๐ข๐ง๐ ๐ฆ๐๐ซ๐ค๐๐ญ๐ฌ. When Aave's USDC utilization on Arbitrum diverges meaningfully from Aave's USDC utilization on Base, that's not noise. It's a signal that supply is constrained on one side and abundant on the other, which translates into a borrow rate spread that can be captured by repositioning capital, if the repositioning cost is lower than the spread it captures.
๐๐จ๐จ๐ฅ ๐๐๐ฉ๐ญ๐ก ๐๐ง๐ ๐๐ฑ๐๐๐ฎ๐ญ๐ข๐จ๐ง ๐๐ซ๐ข๐๐ญ๐ข๐จ๐ง. The same trade has different slippage characteristics depending on which chain it executes on. A $500K rebalance through a deep Curve pool on Ethereum costs less in execution friction than the same rebalance through a shallower pool on a smaller chain.
The engine scores execution costs against expected return before deciding whether the opportunity is worth pursuing.
๐๐จ๐ฅ๐๐ญ๐ข๐ฅ๐ข๐ญ๐ฒ ๐๐ง๐ ๐๐จ๐ซ๐ซ๐๐ฅ๐๐ญ๐ข๐จ๐ง ๐ฉ๐๐ญ๐ญ๐๐ซ๐ง๐ฌ. Some chains experience correlated stress events; others remain stable through them. Cross-chain positioning is partly about diversification, making sure that a stress event on one chain doesn't take down the entire portfolio. The correlation matrix between strategies on different chains is part of the allocation scoring.
๐๐๐ ๐ ๐ข๐ง๐ ๐ซ๐๐ฉ๐ซ๐ข๐๐ข๐ง๐ . When rates shift, they don't shift everywhere simultaneously. There's typically a window, sometimes minutes, sometimes hours; where one chain has repriced and another hasn't. The capital that's positioned to capture that window earns the difference. The capital that's positioned wrong pays it.
This is what cross-chain looks like as a yield strategy rather than a deployment problem. Every dislocation is a potential source of return; every opportunity has to be scored against execution cost, correlation, and capacity before capital moves.
The protocols that frame this complexity as friction are usually the ones without the infrastructure to operate across it. The ones that frame it as opportunity have built systems that can read the signal.
๐ฐ๐ ๐๐๐๐ ๐๐๐๐๐๐๐ ๐๐๐๐ ๐๐ ๐๐๐ ๐๐๐๐๐ ๐๐๐๐๐๐๐ ๐๐๐๐๐๐ ๐๐ ๐๐ ๐๐๐ ๐๐๐๐๐๐๐๐๐๐๐ , ๐๐๐'๐๐ ๐๐๐๐๐๐ ๐๐๐ ๐๐๐ ๐๐๐๐๐๐๐๐๐๐ ๐๐ ๐๐๐๐๐๐๐ ๐๐๐๐ ๐๐๐๐๐๐๐ ๐๐๐๐๐๐ ๐๐๐๐๐๐.
๐๐ข๐๐ฅ๐๐๐๐ ๐๐ฉ๐ข๐ฌ๐จ๐๐ ๐ ๐ง๐จ๐ฐ ๐ฅ๐ข๐ฏ๐
We get into it with Bogdan, the brain behind the AlphaYields Allocation Engine.
Also, little piece of history lesson for you in there.
June was a record month on Flow.
New stablecoin all-time high, Dune and Token Terminal integrations, new products & primitives shipped, and sold-out drops across the ecosystem.
All while transactions close in on 1 billion.
Read the full recap ๐งต
Stablecoin market cap is a strong leading indicator for available buying power entering a crypto market.
Flow has hit a new record in stablecoin mktcap in June, soaring higher than at any other point since genesis block.
Builders be shipping, infra be integrating.
Check the recap and go WTF
June was a record month on Flow.
New stablecoin all-time high, Dune and Token Terminal integrations, new products & primitives shipped, and sold-out drops across the ecosystem.
All while transactions close in on 1 billion.
Read the full recap ๐งต
June was a record month on Flow.
New stablecoin all-time high, Dune and Token Terminal integrations, new products & primitives shipped, and sold-out drops across the ecosystem.
All while transactions close in on 1 billion.
Read the full recap ๐งต
June was a record month on Flow.
New stablecoin all-time high, Dune and Token Terminal integrations, new products & primitives shipped, and sold-out drops across the ecosystem.
All while transactions close in on 1 billion.
Read the full recap ๐งต
June was a record month on Flow.
New stablecoin all-time high, Dune and Token Terminal integrations, new products & primitives shipped, and sold-out drops across the ecosystem.
All while transactions close in on 1 billion.
Read the full recap ๐งต
road to ring points and points storefront will be spendable this off season
starting July 6 we have a series of upgrades coming to the points store as well โ what were your favorites from the Playoffs and what do you want to see in the points store this off season?
Stablecoin market caps are one of the strongest economic health metrics for a chain. They form the base for consumer DeFi and power everything from payments to yield products.
Read about how the Flow stablecoin market cap just hit its all-time high ๐งต
This Week's Flow State Report ๐
Stablecoins & DeFi
- Stablecoin market cap on Flow maintains a multi-year high of $74.6M, holding that all-time high throughout June.
- PYUSD holders on Flow grew 34.7%+ in the last 16 days (61.5K โ 82.8K). PYUSD now makes up 97% of EVM
A design decision that's shaped everything we do at AlphaYields:
We don't trust DeFi yield aggregators.
Not a knock on the teams building them. The problem is that APY numbers from aggregators are frequently wrong when you check them against on-chain share price data. Some are delayed. Some are estimated. Some are confidently incorrect in ways that would cost a depositor real money.
So we built our own verification layer. Every APY on our dashboard is computed directly from on-chain share price, across rolling windows, capturing real yield after slippage and compounding.
When the on-chain math disagrees with the aggregator, we go with the chain. Every time.
This isn't just an academic point. Better to show smaller numbers that are true than larger ones that aren't.
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