The @kinetiq_xyz market on @pendle_fi has broken >$800m in TVL, maintaining the deepest liquidity of any market on Pendle (across all chains) by quite a large margin.
+ >96% of HyperEVM vol
Along with having the highest fixed APY on $HYPE.
cc the Pendiddler @PendleIntern
Naruto11.eth
this is correct.
people don't realize that so many chains will affect the fragmentation badly
@prabalbanerjee @anuragarjun and all of @AvailProject already imagined this scenario. too much liquidity fragmentation all around with rise of L1s, L2s and appchains as well.
and because of this, we have Avail Nexus.. this will be exactly same interop solution that @_weidai is talking about.
send $100 to 0x78ab@tempo and it will be sent instantly without the users using a bridge from the app UI itself.
hyperliquid integration went live and slowly we will integrate every chain for dapp devs to integrate it effortlessly
Wei Dai
Fragmentation of chains is great for interoperability protocols.
Now that Tether, Circle, & Stripe are all building different payment L1s, it is increasingly unlikely that we will have one globally-dominant payment L1.
As a result, interoperability between payment chains becomes necessary.
- Interoperable addresses of the form "address@chain" (e.g. ERC7930) will become the (de facto) standard
- Native interop supported by chains or asset issuers and externally-supported interop, like intent or solver-based bridges, will continue to improve.
A chain will then resemble a bank or mail server more than a vertically-integrated walled garden like web2 social & e-commerce platforms.
Tyler Tarsi
built an orderbook simulator
you can read about bids/asks all day, but until you watch a fat market order walk the book and destroy your pnl through slippage, it doesn't click
if you're touching perps (or trying to understand Hyperliquid or Lighter) you need to internalize this
here's what actually happens when you trade.
look at the order book above - every order sits in a queue. bids (green) = buyers waiting. asks (red) = sellers waiting. that yellow line in the middle is that's the "price" - really just the midpoint between best bid/ask
spread = best ask - best bid. tighter spread = more liquid market = better fills
limit orders add liquidity. i'll place a 0.5 BTC buy at $99k. updated book:
see how it just sits there in the book? that's making. you're providing liquidity for others to take
maker fees are lower because exchanges want thick books. more liquidity = more volume = more fees
market orders are violent. watch this 5 BTC market buy - it doesn't get one price: it eats through $101k, $102k, $103k...
your "$100k buy" becomes $101.5k average fill
see that volume distribution bar at the bottom? 81% bids vs 19% asks. when this tilts hard one way, market's about to move (unless there's phantom / pvp flow)
you can upload your own trade sequences via json to see how different strategies and trades affect the book.
if there's interest i'll add perps specific features: funding rates, margin requirements, liquidation modeling. want to show how a single whale liquidation can cascade through an entire book
most people lose money on perps because they don't understand the game they're playing. you're not trading against "the market" - you're trading against other participants who can see everything thing you're doing.
play with it. upload some trades. watch how the book reacts. then maybe you'll understand why 90% of perp traders get rekt
link below
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Hyperliquid is a performant L1 optimized from the ground up. The vision is a fully onchain open financial system with user built applications interfacing with performant native components, all without compromising end user experience. The flagship native application is a fully onchain order book perpetuals exchange, the Hyperliquid DEX.
Number of posts mentioning a token in the last 24h. This can help gauge the level of interest surrounding this token.
Contributors
Number of individuals posting about a token in the last 24h. A higher number of contributors can suggest improved token performance.
Interactions
Sum of socially-driven online engagement in the last 24h, such as likes, comments, and reposts. High engagement levels can indicate strong interest in a token.
Sentiment
Percentage score reflecting post sentiment in the last 24h. A high percentage score correlates with positive sentiment and can indicate improved market performance.
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Volume refers to post volume in the last 24h. A higher volume ranking reflects a token’s favored position relative to other tokens.
In the last 24 hours, there have been 6.6K new posts about Hyperliquid, driven by 3.6K contributors, and total online engagement reached 1.3M social interactions. The sentiment score for Hyperliquid currently stands at 80%. Compared to all cryptocurrencies, post volume for Hyperliquid currently ranks at 1171. Keep an eye on changes to social metrics as they can be key indicators of the influence and reach of Hyperliquid.
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Sentiment
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