Crypto doesn’t need another blockchain. It needs protocols that put existing infrastructure to work. That’s the idea behind @Oly_Dao. OLY combines ETH staking through Lido, Uniswap liquidity fees and trading-tax revenue to build around real DeFi activity. Now, it’s expanding its role on Robinhood Chain, where $OLY already trades against tokenized NVIDIA and Tesla stocks, alongside BTC and ETH. These markets need liquidity to function well. OLY wants to become one of the chain’s largest liquidity providers. But the next chapter raises another question: why is a DeFi protocol creating the Bank of OLY with just 1,000 NFT Charters? That’s the part I’m curious to learn more about.

Private companies now have trillion-dollar valuations trading on crypto exchanges, even before their shares become publicly available. Anthropic’s IPO filing has brought these markets back into focus, and October 27 data shows how differently exchanges are pricing exposure to Anthropic and OpenAI. Anthropic’s last reported funding valuation was $965B. Its perpetual markets are now implying almost twice that amount. → @extendedapp : $1.877T (+94.5%) → @variational_io : $1.877T (+94.5%) → @binance : $1.880T (+94.8%) → @bitget : $1.882T (+95.0%) → @Lighter_xyz : $1.934T (+100.5%) OpenAI shows a similar pattern against its last reported $852B valuation. → Extended: $1.410T (+65.5%) → Variational: $1.411T (+65.6%) → Binance: $1.413T (+65.8%) → Bitget: $1.438T (+68.7%) → Lighter: $1.501T (+76.1%) What’s striking is how much the prices differ between exchanges. Anthropic’s implied valuation varies by approximately $58B across these venues. For OpenAI, the difference reaches $90B. And liquidity tells another part of the story. Binance has around $50M in open interest on its Anthropic contract, compared with $2.4M on Lighter and just $24K on Extended. So one of the lowest quoted valuations comes from a market with very little outstanding exposure. These contracts aren’t private shares. They’re derivatives whose prices depend on liquidity, funding rates, margin requirements and settlement terms. Without a publicly traded underlying share price to anchor arbitrage, large pricing differences can persist. Pre-IPO perps are bringing continuous price discovery to private companies, but a quoted valuation is only as meaningful as the liquidity and settlement mechanics behind it.

Tokenized equities need more than an onchain ticker. They need assets people can actually use. @Swisscheese_fn is building on Polygon, combining tokenized stocks with swaps, staking and borrowing. Its security measures include smart contract audits, cold storage, encrypted data and 2FA. Reliable pricing, liquidity and compliance will determine how far this model can go. With $SWCH listed on MEXC and Gate.io, SwissCheese is building its presence in the wider crypto market. The goal is to make stocks functional assets within DeFi, not just put them onchain.

Stablecoin deposits are growing across DeFi, but the capital isn’t flowing evenly between assets or lending markets. The latest 30-day data shows sUSDS leading individual pool inflows, while USDC is attracting deposits across several @Aave, @sparkfinance and @Compound_xyz markets. The largest inflows: → sUSDS / Sky Ethereum: +$383.1M (+8.6%) → USDC / Aave Arbitrum: +$38.0M (+20.9%) → RLUSD / Spark Ethereum: +$20.0M (+200%) → USDC / Aave Base: +$17.3M (+9.7%) → USDC / Aave V4 Ethereum: +$11.5M (+35.7%) → USDC / Spark Ethereum: +$9.0M (+22.3%) → USDT / Aave V4 Ethereum: +$7.6M (+38%) What’s particularly revealing is the distribution of USDC inflows. Across the seven USDC pools shown in the latest inflow table, deposits increased by approximately $92M in aggregate TVL. Arbitrum and Base accounted for $55.3M of that increase, while Ethereum’s newer Aave V4 Core market grew 35.7%. But deposit growth doesn’t necessarily translate into higher yields. @Aave’s USDC supply APY on Arbitrum fell from 2.93% to 2.37% despite attracting $38M in additional deposits. On Base, the opposite happened. USDC deposits grew $17.3M while supply APY increased from 3.96% to 4.17%, with utilisation reaching 90.3%. That suggests the relationship between available liquidity and borrowing activity differs considerably between markets. Meanwhile, sUSDS attracted $383.1M into @SkyEcosystem’s savings product, with its APY increasing from 3.60% to 3.80%. The distinction is important because savings deposits and lending deposits don’t represent identical forms of capital demand. These figures describe the largest inflowing pools, not net flows across every market. Outflows elsewhere can offset much of the growth. Stablecoin adoption is one thing. Attracting deposits into specific markets, maintaining utilisation and generating sustainable borrower demand is another. The distribution of capital across DeFi is becoming just as revealing as the total supply of stablecoins.

4.5% vs ~11% target APY across two RWA strategies on @grvt_io: Balanced Bundle • Target APY: ~4.5% • Primary exposure: BlackRock CLOA Opportunistic Bundle • Target APY: ~11% • Primary exposure: BlackOpal LiquidStone II The difference goes beyond yield. The Balanced Bundle focuses primarily on AAA rated CLOs, while the Opportunistic Bundle targets income from Brazilian credit card receivables with FX hedging. Both provide access to real-world credit, but with different risk profiles. What makes this move interesting is where GRVT is taking Earn. The upcoming upgrade aims to bring fixed-income strategies generating returns from interest, premiums and invoices onchain, with target yields of up to 11%. GRVT is also working toward letting users use their Earn balance as trading margin while it continues generating yield. @grvt_io isn’t just adding another way to earn yield. It’s trying to make capital productive without separating earning from trading. If executed well, that could make Earn a much bigger part of the GRVT experience.

Starting to think ethereum:0xad29f2723fcdbcf665f210f25e06f97477e417cf might have another leg in it. Been seeing some decent price action around @grvt_io lately, with the structure gradually improving since August. Nothing too explosive yet, but there are a few things making the setup look better: → Higher lows holding up since August → Gradual recovery without a massive blow-off candle → Trading volume starting to return → $0.30 looking like the next level to challenge Wouldn’t be surprised to see momentum pick up if buyers keep pressing. $0.20 remains the downside scenario if the recovery fails, but I’m leaning toward an upside attempt first. Feels like the kind of chart that could attract traders pretty quickly once it starts moving. The volume follow-through will probably decide how far that move goes. PS: Giving away $100 worth of ethereum:0xad29f2723fcdbcf665f210f25e06f97477e417cf to one winner. RT + comment your price prediction to enter.

Of the $433.5M @Collector_Crypt generated in revenue last quarter, only $25.4M came through as gross profit. Went through Pine Analytics’ Q3 report, and I think the customer data is just as revealing as the revenue itself. The numbers: → $433.5M in revenue, up 8% QoQ → $408.1M spent on card buybacks and redemptions → $25.4M in gross profit, up 12% → 5.9% gross margin So roughly 94% of revenue flows back out, leaving a relatively thin margin on a massive amount of activity. But the customer concentration is what caught my attention. 21,876 wallets purchased packs during Q3, nearly double the previous quarter. Yet just 548 wallets spending $100K+ accounted for 83% of sales. The top 100 alone contributed 54%. And the spending is moving toward more expensive products. Packs priced at $2,500+ generated $169.6M, accounting for 39% of sales, up from 21% in Q2. What’s more surprising is that only 18 of September’s top 100 buyers were also among June’s top 100. So a lot of the business depends on continuously attracting new high-spending collectors rather than the same whales consistently buying. @JupiterExchange also contributed 11% of Q3 sales after launching distribution in July, although retention among its first-time buyers was weaker than Collector Crypt’s own site. Meanwhile, monthly sales have cooled from June’s $212.2M peak to $134.5M in September. I actually like the underlying model here. Physical collectibles held in vaults, instant onchain ownership transfers, and the ability to redeem the actual cards. But looking at the numbers, I think the bigger question is how much recurring demand exists outside that rotating group of high-spending collectors. The $433M quarter shows how large the business can get. The customer concentration tells you a lot more about what’s driving it. h/t @PineAnalytics

More active addresses don’t necessarily mean more revenue for a blockchain. I compared seven-day chain revenue against active addresses across five networks. Here’s how much revenue each chain generated: → @base: $561.5K → @ethereum: $498.7K → @0xPolygon: $435.2K → @arbitrum: $128.6K → @Optimism: $19K Now, here’s the revenue generated per active address: → Base: $0.356 → Optimism: $0.300 → Polygon: $0.225 → Ethereum: $0.207 → Arbitrum: $0.178 Base leads both rankings, but Optimism surprised me. Despite generating the least total revenue, it ranks second in revenue per active address. It shows how differently networks monetize activity. Having more active addresses doesn’t automatically translate into more revenue. Of course, higher revenue per address isn’t necessarily better. Lower fees can also encourage more activity.

after @grvt_io’s first token buyback and burn, i went back to look at the numbers and what comes next for $GRVT. here’s the latest snapshot from DeFiLlama, Oct. 21: → $14.75B perp volume / 30D → $3.45B perp volume / 7D → $446.6M open interest → $36.1M TVL Grvt is processing serious trading volume, with $440B+ in cumulative perp volume. then came the October 20 announcement. Grvt bought and permanently burned 1.1M $GRVT using a portion of the app’s gross profit, removing close to 1% of circulating supply. i see this as a solid step because the buyback has moved beyond promises. the tokens were actually purchased on the open market and burned. but the bigger picture is what comes next. @grvt_io has four major releases planned before the end of November: → Grvt Earn: fixed-income strategies targeting up to 11% yield → Stable Funding Perps: zero trading fees, daily funding and a target of 1,000+ markets by December → Yield as Margin: earn yield on eligible balances while using them as trading collateral → Grvt 2.0: a redesigned investing app bringing these experiences together the direction makes sense to me. instead of competing on trading alone, Grvt is trying to make capital productive across earning and trading, without forcing users to move funds between separate accounts. that could create a stronger reason to stay on the platform and give $GRVT a more compelling story beyond speculation. still, there’s one number i won’t ignore. TVL peaked at $113.7M in March and sits around $36.1M today, roughly 68% below its peak. so despite the trading activity, Grvt still has work to do in attracting and retaining capital. the buyback is a good first step. now i want to see whether the upcoming products translate into sustained usage, stronger TVL and recurring buybacks supported by the business. with Grvt 2.0 approaching, the next few weeks could be important. the real test is whether Grvt can turn all this activity into a platform people want to keep their capital in.

ethereum L2s processed 14.5x as many transactions as mainnet over the past month, as of october 21. but how much of that activity translates into value for ethereum? according to @growthepie, L2s paid just $82K in settlement fees over the 30 days ending october 21. meanwhile, @base generated $2.77M in onchain profit and @RobinhoodCrypto chain $2.80M over the same period. this measures fees collected minus settlement costs, not full operating expenses. the gap raises a bigger question about the L2 business model. they can offer cheaper transactions and retain much of the revenue users generate, while ethereum provides settlement and data availability. as ethereum expands its own capacity, low fees alone may become a weaker reason to choose one L2 over another. distribution, liquidity and the applications built on top could matter far more. scaling transactions is one thing. building an economy that captures lasting value is another.

DeFi lending vault deposits have grown from ~$4B at the start of 2025 to more than $10B by October 2026. That’s 2.5x growth in roughly 21 months. But the bigger story isn’t the capital entering these products. It’s the lending risk depositors are outsourcing in exchange for yield. Crypto lending vaults typically offer 3–10% returns, while riskier strategies can exceed 20%. That spread deserves scrutiny. Here’s where I think the risk becomes more interesting. » Curators are becoming the risk managers Take @Morpho. Its Vault V2 separates strategy from execution. Curators determine which markets and adapters are permitted and establish risk parameters. Allocators deploy capital within those rules. That creates a layer between the depositor and the underlying lending markets. But there’s an important technical detail: Morpho’s documentation says allocation caps aren’t continuously enforced ceilings. Exposure can move above a cap without a new allocation. A risk limit is useful, but it isn’t a guarantee that exposure can never exceed it. » APY doesn’t tell you how quickly you can exit Vault deposits are deployed into lending markets to generate returns. When borrowers use most of the available liquidity, the vault may not have enough assets immediately available to satisfy every withdrawal. Morpho explicitly distinguishes this situation from bad debt. A withdrawal delay doesn’t necessarily mean funds are lost. But it does mean that advertised yield and immediately available liquidity are two different metrics. » The real stress test is a collateral failure Suppose a borrower owes $10M against collateral initially worth $12M. If that collateral falls to $8M before liquidation can recover the debt, the position may leave the lending market with a shortfall. In Morpho Vault V2, bad debt reduces the value of the vault’s assets, and the loss is shared proportionally among depositors. The smart contracts can enforce the rules correctly and depositors can still lose money. That’s the distinction between protocol security and credit risk. » Look beyond the headline yield A useful comparison: Two Prime’s Bitcoin lending vault on Pareto launched with a target yield of 1.5 – 2% and roughly $10M of the firm’s capital committed to absorb initial losses. That doesn’t make it risk-free, and the strategy isn’t directly comparable to every DeFi vault. But it illustrates the questions I want answered: → How much collateral and market concentration sits behind the yield? → What proportion of deposits is immediately liquid? → Who can change the allocation, and what protections apply? → Is any manager capital committed to absorbing losses before depositors? → What happens to the vault’s share value when bad debt is recognized? DeFi vaults are making sophisticated lending strategies accessible to more capital. My take: growth in deposits shouldn’t be mistaken for better risk management. As more capital flows through curated strategies, the quality of the curator becomes just as important as the underlying protocol. I’d rather use a vault with transparent exposures, realistic withdrawal assumptions and clearly defined loss protections than chase an extra few percentage points of APY. In the long run, I think the vaults that earn lasting trust will be the ones that make their risks as visible as their returns.