i came across a very interesting rwa perps liquidity comparison, sourced from exchange order books/api’s, and some things stood out immediately… you’d want to read this! 👇 first, the gap between the top three and everyone else is larger than i expected bitget, binance, and hyperliquid seem to be operating in a different tier when it comes to depth, while okx and bybit are noticeably behind based on the data observed second, bitget consistently comes out on top across most of the pairs measured at both 5bps and 10bps depth on the ai and semiconductor side, bitget ranked #1 in depth across nvda, tsm, and mu, arguably three of the most important names in the entire ai supply chain [nvda dominates ai chips, tsm manufactures a huge portion of the world’s advanced semiconductors, and mu sits at the center of the hbm memory story, powering modern ai infrastructure] on the mega-cap side, the gap was also interesting msft’s depth was roughly 4x higher than the next closest venue, while tsla was around 2x higher this is pretty important because liquidity is the part of rwa that almost nobody talks about why? everyone loves discussing listings, partnerships, and tokenized stocks but none of that matters if traders can’t execute size without getting hit by excessive slippage also, the gap isn’t small either at 10bps depth, bitget’s aggregate liquidity was over 5.8m usdt, ahead of binance, hyperliquid, okx, and bybit this i found really interesting lol the industry keeps focusing on who launches the next rwa product any exchange can launch an rwa product but not many can create an environment where traders can actually move size efficiently that’s what ultimately determines adoption if rwa is going to attract larger traders, funds, and eventually more traditional market participants, depth matters just as much as the asset itself in this market, liquidity isn’t a marketing metric it’s the product

the FOMC decision could move both stocks and crypto, but the biggest mistake traders can make is focusing only on the rate decision here’s what actually matters 👇 —————<•>————— >> THE FED’S NEXT MOVE markets widely expect the fed to hold rates at 3.75–4.00% after September’s hike but with inflation still running hot, the bigger question is whether rates stay higher for longer or another hike comes into play >> WHY STOCKS CARE higher interest rates increase borrowing costs and put pressure on valuations, especially for growth stocks whose value depends heavily on future earnings but strong economic growth can support corporate earnings, so the impact isn’t always straightforward >> WHY CRYPTO CARES higher yields can make safer assets more attractive and tighten financial conditions, potentially weighing on bitcoin and other risk assets altcoins can be even more vulnerable when liquidity dries up and traders reduce risk >> THE SIGNAL MOST TRADERS MISS a rate hold isn’t automatically bullish the fed could keep rates unchanged while signalling that more tightening may be needed if inflation persists that could push stocks and crypto lower despite no change in rates >> EXPECTATIONS VS REALITY markets move on the difference between what traders expect and what the fed delivers a bullish-sounding decision can trigger a sell-off if the market expected more a hawkish message can spark a rally if it’s less aggressive than feared here’s what i’m watching → the fed’s language on inflation and future rates → treasury yields and the US dollar → bitcoin’s reaction after the announcement → whether the move holds or gets reversed macro gives you the context, but price action tells you how the market is responding don’t just trade the headline, understand what’s already priced in

RWA perpetuals pulled in $413B in CEX trading volume in September alone but this volume tells only part of the story for RWAs to scale, the infrastructure has to be just as strong as the assets themselves: reliable pricing, deep liquidity, and seamless execution ————<(•)>———— think about what it takes to trade a traditional asset on a crypto exchange, around the clock someone needs to keep prices reliable when the underlying market is closed liquidity needs to be deep enough to execute without excessive slippage the product needs to make it clear whether you’re buying an asset or trading synthetic exposure to its price and the infrastructure needs to manage risk when those markets move these aren’t minor details. they’re the difference between listing an RWA product and building a market people can rely on as a trader, pay particular attention to four layers when looking for platforms to trade on: → market data: reliable pricing and robust oracle infrastructure → liquidity: tighter spreads, deeper order books and better execution → product design: transparent exposure, funding and liquidation mechanics → asset infrastructure: credible backing, clear legal rights and workable redemption interestingly, each of these layers creates an opportunity for a different set of builders we don’t just need more assets onchain. we need better markets around these assets

everyone is betting on who builds the smartest AI i’m betting on who builds the infrastructure every AI model needs to run 　　　　　———<>——— we’ve spent years watching the race to build bigger, smarter models but the next stage is about something different: making intelligence cheap enough to run everywhere McKinsey projects inference will account for ~60% of AI demand by 2030 every AI agent, automated workflow and real-time application adds to the demand for compute and that creates opportunities beyond GPUs: → memory and high-speed networking → specialized inference infrastructure → power-efficient compute → decentralized GPU networks competing to serve AI workloads but i wouldn’t value a compute network by its GPU count or token incentives alone i’d look at utilization, paying customers, cost per workload, recurring revenue and whether the token actually captures any of that value because there’s a difference between a network that has compute and a network people are willing to pay for the real longterm bet is on who can deliver intelligence at the lowest sustainable cost i’m watching this infrastructure market closely.

RWAs might be one of the most misunderstood sectors in crypto right now the market is moving beyond the “let’s put real world assets onchain” look at the numbers: → $39.26B in distributed tokenized RWAs → 5.3M+ asset holders → $3B+ in tokenized stocks → $1.61B in tokenized credit deployed in DeFi lending RWAs are beginning to connect trad financial assets with crypto-native markets, creating new ways to access yield, use collateral and deploy capital as a trader, i’m less interested in how many assets get tokenized and more interested in what happens after they get onchain can they be traded efficiently? can they be used as collateral? can they move across protocols and unlock new capital efficiency? in my opinion, that’s where the real value will be created we’re not at the finish line yet. liquidity is still fragmented, access remains restricted for many products, and tokenization doesn’t eliminate the risks of the underlying asset but the infrastructure is maturing, the market is expanding, and the use cases are becoming more tangible. after bringing trillions of dollars onchain with rwa’s, we need to make that capital useful i’m supporting any project building around this shift recommend some you know 👇

totally agreed with this. ethereum doesn’t need to do all the work to verify that the work was done correctly with zk proofs, complex computations can happen off-chain, and ethereum only needs to verify the proof less data pushed on-chain, less pressure on the base layer, and more freedom to experiment with different cryptographic systems this could make ethereum more scalable, reduce on-chain data demands, and support more types of cryptography without constantly adding new precompiles 🤝