If you have 1 BTC, would you choose to just hold it, or let it generate more value? In the past, when I saw many BTC holders getting involved in DeFi, my first reaction was: Too complicated. For example, if Xiao Ming has one BTC and wants to earn yield through DeFi. He would first need to understand cross-chain transfers, wrapped BTC, choosing protocols, connecting a wallet... If anything goes wrong in any of the steps in between, it could affect fund safety. Some people choose to participate in different projects for higher returns, but end up finding that: Besides the complexity of the process, what’s even more important is the added need to trust multiple steps. That’s also why many BTC holders haven’t truly engaged with on-chain ecosystems. Recently, my experience with Babylon together with Aave v4 exploring native BTC collateralized lending has made me especially interested in one question: In the future, can BTC maintain its security while having more application scenarios? Babylon’s approach isn’t to change BTC, but to use the security value of BTC itself, enabling BTC to participate in more on-chain economic activities. In simple terms: Previously, BTC was more like “digital gold,” mainly responsible for storing value. In the future, BTC may not only be an asset—it could also become an important part of on-chain security and liquidity. Of course, this direction still needs time to be proven. For an ecosystem to truly succeed, it’s not just about the technical design. More importantly: Is there enough demand from BTC holders who are willing to participate? Are there enough applications that need BTC liquidity? Can it form a sustainable long-term feedback loop? I believe BTC’s biggest room for imagination may not be to copy Ethereum’s playbook, but to open up new application scenarios while preserving its own security advantages. If in the future you could participate in DeFi with BTC in a simpler and safer way, would you consider using it? @BabylonLabs_io #baby $BABY
Last month I took part in the creator platform tasks, and my ranking was pretty decent.
At the time, I saw that the price was already close to a new low, and I thought to myself:
“Since it’s fallen to this point, it should be about time, right?”
So I didn’t set any hedges. I figured that since it had already hit a new low, the downside might be limited, and maybe later there would be a rebound.
But reality taught me a lesson.
Over this period, $NEWT has been sliding all the way down, with basically no decent rebound.
Now, with the rewards about to be distributed and the price quickly approaching another new low,
Looking back, the biggest problem wasn’t that I misjudged the direction—it was that I underestimated market sentiment and the pressure from unlocks.
Many people have a misconception:
They think, “It’s already fallen a lot, so it must mean it can’t fall anymore.”
But the market doesn’t have some absolute bottom. As long as buy-side demand isn’t enough, the price can still keep looking for support.
Still, since I’ve participated, I can only keep watching how things actually develop next.
For a project, in the end it still comes down to product execution, user growth, and real demand—not short-term price performance.
This time was also a lesson for me:
Don’t assume that risk has been fully released just because the price has dropped a lot.
The market is always harder to predict than you think.
I wonder—does anyone here have hedges? There are still two days before the rewards are issued. Is it too late to set up hedges now?
After researching Babylon, I found that the biggest change for BTC might not be the price going up
After all these years playing with BTC, many people have always focused on questions like: When will it pump? But after studying Babylon, I realized there may be an underestimated direction: In the future, BTC’s value may not be only about price appreciation—it may start to take part in the functioning of the entire crypto ecosystem. In the past, $BTC was more like a vault. Safe, scarce, strong consensus. But the problem is that a large amount of BTC has long been “sleeping.” Besides waiting for price changes, it’s hard to generate additional value. What Babylon makes me pay attention to is not simply adding an income entry for BTC. More importantly, it attempts to re-purpose BTC’s inherent security value. In the past, many new public chains had to build their own validation infrastructure: Issue tokens to attract nodes; design the economic model to maintain security; spend a lot of time accumulating trust. But BTC already has the largest consensus base in the world. If more and more chains in the future need to borrow BTC’s security capabilities, it could change BTC’s role in the industry. That said, I think judging Babylon can’t rely only on short-term data. Many projects have early hype, but what truly determines long-term value is: First, whether there is actually an ecosystem need for BTC security; Second, whether users are willing to participate long-term; Third, whether this demand can exist without depending on short-term incentives. Because one of the biggest problems for too many projects in the past is that: Rewards attract capital, but once rewards end, users leave as well. A truly valuable protocol shouldn’t just create yield—it should create lasting demand. So I believe Babylon’s biggest room for imagination isn’t to turn BTC into yet another investment product. It’s to gradually transform BTC—from “digital gold”—into a form of security resource for the on-chain world. Of course, this path still needs time to prove itself. The ecosystem’s scale, the number of participants, and the existence of real demand will determine how far it can ultimately go. But at the very least, it raises a question worth thinking about: In the future, besides storing value, can BTC become the foundational infrastructure for the entire blockchain world? What do you think will be BTC’s biggest value in the future? Keep being digital gold, or become a part of on-chain security?@BabylonLabs_io #baby $BABY
SanDisk is starting to rebound. My first take-profit is around 1200—let’s see whether it breaks out; if it breaks through, the target is 1340. Everyone can take a look at the views I posted during the day. $SNDK
尘缘一斩缘
·
--
Recently, SanDisk has fallen very sharply. A number of friends have asked me: Has there been a fundamental problem with SanDisk?
Personally, I think this drop is mostly about valuation correction and the release of market sentiment, not that the company’s logic has fundamentally changed.
Why has it fallen so much?
First, the prior rally was too strong.
SanDisk rose steadily last year alongside the AI storage concept, and the market gave it very high expectations. The stronger the rise, the more profit-taking positions there are. Once the market direction changes, the pressure to realize profits increases as well.
Second, the overall AI hardware sector is adjusting.
Recently, it’s not just SanDisk— the entire semiconductor and storage sector has been pulling back. The market is starting to worry whether AI investment has already been front-loaded, and whether the growth pace can continue to be maintained in the future.
Third, concerns about the memory industry cycle.
SanDisk mainly makes NAND flash and SSD storage. The market is worried that if supply increases and competition intensifies in the future, it may affect profit margins.
In addition, the development of China’s memory storage industry has also led some capital to re-evaluate the global storage industry landscape.
However, I believe the biggest issue right now isn’t that the company is broken, but rather:
The stock price has risen too fast and needs to digest the valuation again.
In the AI era, demand for storage still exists. Servers still require a large amount of storage support.
So my view is:
In the short term, look at sentiment; in the long term, look at demand.
Technical analysis:
Right now, around 980 is the strong support level I’m paying the most attention to.
Personally, I’ve already placed orders here and got filled. I’m preparing to bet on a support rebound.
If it continues to fall and drops below 1000, I think it could be worth considering placing staggered orders to try for rebound opportunities.
Of course, I don’t recommend going all-in to buy the bottom—there is always uncertainty in the market.
Another important milestone is:
📌 Earnings report
If the earnings report exceeds expectations, it could become a catalyst for a rebound.
But if you wait until the earnings report is fully out before buying, the market may have already priced in the expectations in advance, and the price might already have risen.
My thinking:
Short term:
Watch the support around 980 and bet on a rebound.
Medium term:
Watch whether AI storage demand continues to grow, and whether the future guidance in the earnings report supports that.
Some of the negative sentiment has already been released. Next, the key is whether capital returns.
(The above are only my personal views and do not constitute investment advice.)
Alpha airdrop of the day is here! At 8 PM, 245 points can be used to claim 100 $GRVT tokens—3 million allocations. OK, let’s start talking about @BabylonLabs_io
When it comes to projects like “Shared Security,” I have a habit that never changes: I don’t first look at how many chains it has connected. I look at one question: Will its collateral fall along with the networks it is supposed to protect?
Most people praise Babylon and EigenLayer—the praise is mostly about the number of integrations. EigenLayer has a bunch of AVS behind it, and Babylon is also constantly expanding the Bitcoin Security Network (BSN). But I never look at that number.
What I focus on is this: will the collateral itself collapse first?
EigenLayer’s restaking logic is that ETH stakers re-stake ETH into various AVS to earn double rewards. The problem is that ETH is itself a core asset of the Ethereum network. If Ethereum faces systemic risk, while the ETH price gets smashed, those AVS that rely on Ethereum’s security are also stuck in the same pit.
The collateral and what it protects are essentially tied to the same cycle—when the cycle rises, they rise together; when it collapses, they collapse together. Babylon’s $BTC staked assets are not based on that logic. BTC, together with the new PoS chains it protects (mostly application chains in the Cosmos ecosystem), hardly share the same cycle.
If those new chains have problems, they won’t directly cause BTC to collapse. Conversely, if BTC crashes hard, those chains’ real businesses do not necessarily fall apart as well.
Their correlation is naturally much lower. The source of the collateral and the thing being protected are, in the first place, two completely different asset worlds. This doesn’t mean Babylon is absolutely safer.
Its currently locked security value is roughly over $3 billion; earlier this year it briefly surged to about $5.6 billion. It all depends on how BTC’s own price moves. That money would shrink directly if Bitcoin crashes—the collateral would also end up collapsing.
It’s just that the reasons for the collapse don’t have a necessary causal relationship with “the chains it protects having issues.” They are two separate risk tracks, not twisted together into the same one.
So when I assess projects like this, I never start by asking “how many chains are connected.” I first ask: between the collateral and the protected object, is it truly the same source of risk? #baby $BABY
Recently, SanDisk has fallen very sharply. A number of friends have asked me: Has there been a fundamental problem with SanDisk?
Personally, I think this drop is mostly about valuation correction and the release of market sentiment, not that the company’s logic has fundamentally changed.
Why has it fallen so much?
First, the prior rally was too strong.
SanDisk rose steadily last year alongside the AI storage concept, and the market gave it very high expectations. The stronger the rise, the more profit-taking positions there are. Once the market direction changes, the pressure to realize profits increases as well.
Second, the overall AI hardware sector is adjusting.
Recently, it’s not just SanDisk— the entire semiconductor and storage sector has been pulling back. The market is starting to worry whether AI investment has already been front-loaded, and whether the growth pace can continue to be maintained in the future.
Third, concerns about the memory industry cycle.
SanDisk mainly makes NAND flash and SSD storage. The market is worried that if supply increases and competition intensifies in the future, it may affect profit margins.
In addition, the development of China’s memory storage industry has also led some capital to re-evaluate the global storage industry landscape.
However, I believe the biggest issue right now isn’t that the company is broken, but rather:
The stock price has risen too fast and needs to digest the valuation again.
In the AI era, demand for storage still exists. Servers still require a large amount of storage support.
So my view is:
In the short term, look at sentiment; in the long term, look at demand.
Technical analysis:
Right now, around 980 is the strong support level I’m paying the most attention to.
Personally, I’ve already placed orders here and got filled. I’m preparing to bet on a support rebound.
If it continues to fall and drops below 1000, I think it could be worth considering placing staggered orders to try for rebound opportunities.
Of course, I don’t recommend going all-in to buy the bottom—there is always uncertainty in the market.
Another important milestone is:
📌 Earnings report
If the earnings report exceeds expectations, it could become a catalyst for a rebound.
But if you wait until the earnings report is fully out before buying, the market may have already priced in the expectations in advance, and the price might already have risen.
My thinking:
Short term:
Watch the support around 980 and bet on a rebound.
Medium term:
Watch whether AI storage demand continues to grow, and whether the future guidance in the earnings report supports that.
Some of the negative sentiment has already been released. Next, the key is whether capital returns.
(The above are only my personal views and do not constitute investment advice.)
BNB has been consolidating for so long—could the next opportunity be brewing?
Tonight, the market is focused on the Federal Reserve’s rate decision. The results will be released at 2:00 a.m., followed by remarks from Mr. Powell at 2:30 a.m.
At present, most market participants are watching for changes in interest rates. Personally, I think the probability of a short-term rate hike is relatively low.
Of course, if there is an unexpectedly hawkish hike, risk assets may see a round of correction, and the crypto market could be affected as well.
But for long-term investors, a bigger dip might actually offer a better opportunity to position.
I’ve also been buying some BNB on dips recently.
The reasons are simple: First, after a long period of sideways consolidation, BNB has already absorbed a lot of pressure. It’s currently trading around $570, still with some room before reaching the previous highs.
Second, besides expectations for price appreciation, BNB also offers ecosystem returns: You can participate in Binance ecosystem activities; There may be opportunities to receive part of a project’s token-airdrop; Participate in events such as TGE, etc.
Compared with simply holding assets, the additional benefits brought by the BNB ecosystem may be more attractive.
I personally believe we may be in a bottoming cycle phase, though it’s not necessarily the absolute lowest point.
So my strategy is: ✅ Build positions in spot in batches ✅ Continue averaging down if it drops ✅ For futures, only consider low leverage and small position sizes
The market is never certain. Managing position size is more important than trying to predict the direction of the market.
If we see a big move tonight, I’ll pay particular attention to BNB’s pullback opportunities.$BNB #议息会议
Many people are waiting for the BABY unlock to cause a dump, but they may have misunderstood step one. Last month, Lao Li had been waiting for a “BABY unlock big sell-off.” He heard that there would be a large unlock in August, so he reduced his position by half in advance, planning to buy the dip after panic appeared. But after waiting for a while, the price didn’t crash the way he imagined. Later he asked me: “Is the unlock news inaccurate?” After checking, I found that many people may have gotten the BABY unlock logic wrong. Babylon mainnet launched on April 10, 2025. The truly important cliff-unlock milestone is actually around the one-year anniversary of the launch—not the specific rumored date everyone has been watching. Now the cliff period has passed and we’re in the linear release phase. What does that mean? It doesn’t mean that on one particular day a large amount of tokens suddenly gets dumped into the market. Instead, there will be continuous, small releases over the next few years. So what you really need to focus on isn’t: “On which day does it unlock?” But rather: “Each month, does the released supply find fresh demand to absorb it?” If the size of BTC staking grows, and more ecosystem applications use Babylon, then the release pressure may be absorbed. But if demand doesn’t keep up, the linear releases will still create long-term pressure. So when looking at BABY, don’t just wait for a single “unlock dump day.” What truly determines its value is whether the supply being released continuously can be absorbed by real ecosystem demand. @BabylonLabs_io #baby $BABY
BTC is still falling today. The Fed is meeting these past two days, and the price has been jumping up and down. If at this time your position happens to be locked in a POS-chain unbonding queue, where it can’t move for 21 days, that feeling is even more unbearable than losing money. This is a real situation many Cosmos ecosystem stakers have faced—not because product experience intentionally drags things out, but because the security model forces it. POS chains need to defend against long-range attacks, relying on “social consensus” to confirm that there has been no fork. That confirmation process can’t be made fast, so official unbonding periods are generally set to around 21 days. This week I looked through Babylon’s timestamp protocol documentation and found it precisely solves this waiting problem. It’s completely different from the TBV and EOTS native staking mechanisms we discussed earlier—another whole set of design. How it works: Babylon takes the block header of each epoch from the connected chain, along with the packaged, signed messages for staking and unbonding, and submits them to the Bitcoin chain for checkpoints. Once this checkpoint is confirmed on Bitcoin to a sufficient depth, it can’t realistically be overwritten by a fork. At that point, the POS chain can directly process unbonding requests without having to wait for the 21-day social-consensus window. Testnet data compresses the 21 days to roughly about 2 days. It relies on Bitcoin’s block interval and the depth of checkpoint confirmation—not on the chain just declaring “it’s safe.” This isn’t just wishful thinking. Chains in the Cosmos ecosystem like Sei and Juno have already integrated it, aiming to borrow Bitcoin-level finality without increasing the burden on their own validators. The limitations are also specific: unbonding still must wait for Bitcoin checkpoint confirmation. If Bitcoin itself gets congested or fees spike, will those two days get extended? The whitepaper doesn’t explicitly hard-code a strict worst-case time upper bound. For ordinary stakers, what this mechanism delivers isn’t “no waiting at all.” Instead, it cuts the waiting time from 21 days down to around 2 days, replacing the long, socially-consensus-based wait with Bitcoin’s determinism. @BabylonLabs_io #baby $BABY
When people mention BABY, the first things they usually think about are unlocking progress and sell pressure. But after reading TBV’s fee mechanism documentation, I found that the core of the design isn’t really about controlling the token price—it’s about letting the protocol “generate its own blood.”
In the past, many protocols’ transaction fees either went to the team wallet or into the national treasury, where how they were spent was decided by manual voting. The rules were opaque and easily turned into a situation where whoever spoke the loudest got to decide.
TBV does things differently: users pay a fee when entering or exiting the vault, and the fee is denominated in BTC. This BTC does not go directly to the team account. Instead, it is used for an on-chain public auction. The highest bidder uses BABY to take the BTC. The BABY collected from the auction is sent directly to the burn address, not to the treasury and not redistributed again.
This workflow has two specific design elements: the auction price is determined by market bidding, and the team has no power to set prices; the amount of BABY burned is directly tied to TBV’s actual usage. The more activity there is—more locked funds and more trading—the more BABY gets burned. This is the opposite of many projects’ “tell a story first and burn depending on mood” model. Burning here isn’t a marketing action; it’s a byproduct of the fee process itself.
This mechanism still hasn’t been validated at large scale. TBV’s currently locked BTC volume is still small—for example, even with the Gomining integration limit, it’s only around 1,000 coins. If there aren’t enough auction participants, will the price end up being influenced by just a few addresses? The whitepaper doesn’t go into detail.
Next, I’ll watch these numbers: the growth curve of TBV’s total locked BTC, the number of participating addresses in each auction round, and the proportion of burned BABY relative to the circulating supply. Only if all three trend upward together can we say that “fees convert into burn” is truly running—not just a paper mechanism. @BabylonLabs_io #baby $BABY
When I first read the TBV documentation for the first time, I instinctively assumed it worked the same way as things like WBTC and cbBTC: no matter how fancy the packaging is, fundamentally it’s still a custodian locking your BTC and giving you a different token in return. I only realized I’d been thinking too simplistically when I read the line “Each Vault corresponds to an independent UTXO.” In reality, this is fundamentally different from how WBTC operates. WBTC takes all users’ BTC and puts it into a single custodial address, then mints an equivalent amount of wrapped tokens on-chain. What you actually hold is a claim on the custodian; the coins in the pool are commingled. TBV is not like that: when each user locks BTC, it generates that user’s own independent Bitcoin script and UTXO, which do not enter any shared liquidity pool and are not used by other products for other purposes. The whitepaper is very explicit: this BTC “cannot be re-staked”; it can only be used by the specific DeFi application designated by that user. To have this locked BTC on the Bitcoin chain recognized by smart contracts on Ethereum, it relies on BitVM3: most of the verification computation is moved off-chain and handled with a “garbled circuit,” leaving only a small fraud proof on-chain. Withdrawals have only one path: submit a zero-knowledge proof corresponding to the smart contract state. Only after it verifies on the Bitcoin chain will the withdrawal be released—not a simple, brute-force mapping of BTC to another chain. This design solves a very specific problem: the user’s BTC can’t be moved to plug someone else’s hole, and there’s no “custodian misappropriation” issue. Back in 2022, when that batch of platforms went belly-up, the root cause was mixing funds in shared pools. TBV directly closes off that route. The problems that remain are also specific: independent UTXOs inherently mean capital efficiency can’t naturally match shared pools. After scaling, the on-chain costs of each operation, as well as the complexity of integrating different DeFi protocols, still haven’t been put to the test at large scale. The current adoption scope we can see (for example, with Aave v4, Gomining, etc.) is still small. What’s worth watching in this system isn’t whether it “can earn yield,” but whether bringing BTC into more complex financial scenarios can reduce the need for an extra layer of trust—and avoid trading away efficiency for the security boundary of Bitcoin itself.@BabylonLabs_io #baby $BABY
I helped a friend choose a new public chain’s validator once. The hosting provider guaranteed it was “absolutely safe.” Then the server failed, and the same height ended up signing two blocks—immediately triggering the double-signing penalty. Part of the staked coins were forfeited. The hosting provider compensated some fees, but what truly disappeared was the staked assets. This exposes a problem that POS chains have always had: validator misconduct → the chain detects it → the validator set inside the chain itself executes the punishment. The judge and the player come from the same system. This week, while reading Babylon’s native staking whitepaper, I found it takes a different approach: it doesn’t rely on the PoS chain punishing itself. Instead, it uses Bitcoin to punish. Stakers delegate their BTC to the “Finality Provider” (FP). On the PoS chain, the FP uses EOTS (extractable one-time signatures) to generate vote signatures for each block. Normal voting is fine, but if the FP signs two different blocks at the same height, the mathematical properties of EOTS will cause the private key to be directly exposed. Anyone can then take the leaked private key and initiate a slashing transaction to send part of the BTC to a burn address. In traditional POS: “chain detects, chain slashes.” Here it becomes: “mathematically expose the key; BTC assets are slashed.” The slashing authority is no longer in the hands of the chain itself. Staking transactions lock funds using Bitcoin Taproot scripts. There are only three unlock paths: after the lock period ends for a normal exit, when the contract committee agrees by majority to unlock early, or when the double-signing-triggered slashing conditions occur. In addition, for each epoch, the block hash is packaged with signatures and submitted to the Bitcoin chain as a timestamp. Even if an attacker tampers with the PoS chain history, the record left on Bitcoin can provide external evidence—like putting an extra layer of notarization on the checkpoints. The issue is the “contract committee majority agreement” in those three unlock paths. In essence, it’s still the discretion of a set of multisig participants. The whitepaper doesn’t clearly explain who these people are, how they’re selected, or how terms are rotated. So this mechanism doesn’t eliminate trust—it merely changes the trust target. It moves from a validator set on a new chain to Bitcoin plus a small contract committee. The scope is smaller, but it hasn’t gone to zero. @BabylonLabs_io #baby $BABY
In the 2022 Nabo trust crisis, a friend of mine had a BTC card stuck in a withdrawal queue on a certain platform. He waited for half a year, and only got it back at a 60% discount. Later he told me, “If I had known, I wouldn’t have chased that little bit of investment yield—wouldn’t it be better to keep the coins in my own cold wallet?” But the reality is: if the BTC you hold is only sitting there, you can’t really do anything else with it. To have liquidity, you’d have to hand over custody again. This week I reviewed the TBV documentation from @BabylonLabs_io and found that there are actually other solutions.
TBV doesn’t take the old route of “wrap the BTC and move it to another chain.” Assets like WBTC are still fundamentally based on the trust/custodial model—if something goes wrong, trust collapses, and bridges that have exploded in recent years mostly fell into this. TBV relies on BitVM3: it moves verification computation off-chain using “garbled circuit” processing, leaving only a tiny fraud proof on-chain. The BTC stays locked on the Bitcoin chain the whole time—nothing moves. What changes is that the locked collateral status is mapped into a proof that Ethereum contracts can read. To liquidate and retrieve the collateral, someone must submit a valid ZK proof—no human can intervene. That’s fundamentally different from what my friend ran into, like a platform “freezing withdrawals with one sentence.”
The first scenario it enables is Aave v4: lock BTC into a vault, turn the collateral status into verifiable credentials, borrow stablecoins, and then repay to unlock. The fee design is also thoughtful: the BTC fee collected when entering or exiting the vault is auctioned on-chain for BABY. The winner receives BTC, and the BABY obtained is directly burned—no manual decision-making about how to spend treasury funds. This is tied to Babylon’s own Bitcoin staking protocol, which has already staked more than 50,000 BTC. In May, it also negotiated an integration with Gomining with a cap of 1,000 BTC. The BTC locked into TBV can simultaneously support mining-reward integration.
The question still remains: the security window for fraud proofs is objectively present. During that period, what if the off-chain computation is constructed maliciously? The whitepaper doesn’t give a definite answer. And with an integration scale of 1,000 BTC, putting it into a Bitcoin market of trillions is only a starting test—whether it can withstand truly large capital depends on time.
If you really want to summarize it, this mechanism doesn’t solve the “yield” problem—it solves the deadlock of “whether or not you should hand your coins over,” a question that has never truly been resolved since the risks of centralized platforms blowing up. @BabylonLabs_io #baby $BABY
Last year I sold a batch of BTC for stablecoins to get some working capital going, and when I turned it back around I ended up losing more than $3,000 in fees and slippage—still on a “trustworthy” centralized exchange. After the fact, the more I thought about it, the more annoyed I was: the assets are clearly still in my own hands, so why do I have to hand them over to someone else just to use them? Last week I read through the whitepaper for @BabylonLabs_io ’s TBV (Trustless Bitcoin Vault), and I found that this awkward problem actually has a solution—it’s just that nobody had truly built it before. Bitcoin has not been able to do this for two reasons: first, the scripting language is too primitive to write complex smart contracts; second, bridges that can move BTC to other chains are either centralized custody or rely heavily on trust assumptions—this is also the root cause of repeated bridge incidents over the past few years. The workaround TBV uses is to simply not let BTC leave the Bitcoin chain at all. The specific mechanism: TBV uses BitVM3, shifting most computation off-chain to be handled by “garbled circuits,” while keeping only a small on-chain fraud proof. Once the BTC is locked in the vault, its locked/collateral state gets synchronized into something verifiable on Ethereum—not a coin transfer, but a “state” proof transfer. To unlock, you must submit a zero-knowledge proof of the corresponding smart contract state; to liquidate, someone also has to submit a valid ZK proof to take the collateral—no manual intervention needed. This is tied to Babylon itself, whose Bitcoin staking protocol has over $5 billion in total value and already has 50,000+ BTC staked. The deployment path connects to Aave v4: lock BTC into the vault → the collateral state becomes a verifiable credential on Ethereum → borrow stablecoins via Aave → unlock after repayment. The whitepaper also mentions scenarios such as stablecoin minting, perpetual-contract collateral, and liquidity staking. This May, Babylon also discussed an integration with Gomining with an upper limit of 1,000 BTC—again, no wrapping or custody/transfer. The question is that even if the fraud proof is further simplified, the security window still objectively exists. If an off-chain computation errors out or is maliciously constructed, how is responsibility assigned? The whitepaper doesn’t give a really hard answer. And the scale of real-world verification with actual funds so far is still small—1,000 BTC in a Bitcoin market worth trillions is almost negligible. At the end of the day, it’s still an early experiment. If this mechanism truly can withstand stress tests at large capital scale, it could bring the first real way to use it without handing over custody rights. #baby $BABY
Alpha Daily Report July 21 (old coin) 256 points 19:00 airdrop Recommended today: trade $ARX (1 day left) or $QQQB ; other tokens will be listed within 30 days, points ×4 It’s recommended to do 500 or 200 per transaction, small amounts multiple times. There should be many perfect scores—if it’s time to eat, then eat. #ALPHA
Check in for 7 consecutive days to be eligible for a random raffle. No points required—just open your wallet and check in.
The participation threshold is also very low: ✅ Hold assets worth at least 10U in your wallet that meet the eligibility requirements ✅ Complete the consecutive check-ins to be entered into the draw
This kind of activity doesn’t require much cost. If you’re a regular user of the Binance Wallet, you can join in casually—there might be a surprise 🍀
Alpha Daily Report July 16 (old coins) 250 points 19:00 Airdrop Today’s recommendation: do an exchange/coin-mining run for ARX (6 days left) or QQQB. Other tokens will be listed within 30 days. Points ×4 Recommendation: 500 or 200 per transaction; do small amounts multiple times. There should be many perfect-score runs—just eat/drain them when you can.
《There’s a retail protection mechanism on Wall Street—GRVT has brought it on-chain》 If you’ve ever traded stocks, you may know about Retail Price Improvement (RPI). When retail traders place an order, the system automatically searches—beyond the publicly quoted prices—for a better execution price. If it finds one, the order is filled at the better price, and the difference goes to the retail trader. This mechanism has been running in the U.S. stock market for over twenty years, saving retail investors billions of dollars. But in the crypto market, nobody has really done this seriously—ever. In the past, when I used to trade perpetuals on some on-chain DEX, I often ran into situations like this: the posted order price looked reasonable, but at execution the slippage was worse than expected by 0.3% to 0.5%. It’s fine for small orders, but once your position gets large, that spread becomes hard to look at. When I asked customer support, they said, “Liquidity is just like that—the market decides.” On-chain trading doesn’t help you find a better price. You get filled at the price you posted; if the market depth isn’t enough, you bear the slippage yourself. Recently, GRVT launched the RPI feature, bringing this Wall Street mechanism to the blockchain. The specific logic is: after a user places an order, the system automatically looks for a better price beyond the publicly quoted prices. If it finds one, the trade is executed at the better price. The user doesn’t need to do anything extra—any improvement is credited directly to the user. More importantly: RPI only matches orders from non-algorithmic traders. Retail’s counterparty isn’t high-frequency quantitative bots. The mechanism design reduces the likelihood of being specifically targeted by algorithms. I have two concerns. First, for RPI to find a better price, there needs to be sufficiently deep liquidity. GRVT’s overall trading volume data looks good, but whether depth is enough for niche products like gold, crude oil, and Tesla for RPI to truly work—right now, I haven’t seen any publicly available, per-asset data. Second, the price-improvement process happens off-chain, not on-chain where it can be verified. You can’t get proof of “how much this RPI saved you this time”—you can only trust the platform’s displayed numbers. This creates a subtle tension with GRVT’s narrative of “on-chain settlement that is verifiable.” That said, simply introducing the concept of RPI on-chain is meaningful. Retail traders in crypto have long been the side with the greatest information asymmetry. The few basis points eaten by slippage every time, accumulated over time, are a real loss. After the TGE, liquidity data stabilized. Running small tests yourself to see the actual improvement is more direct than watching any analysis. @grvt_io $GRVT #grvt
VaultKit can lock the stop-loss line—but the part it can’t lock is the real risk
Last year I made a long on ETH. I set my own stop-loss level; if it broke, it would auto-close. The market plunged suddenly, the stop-loss order was triggered, and the execution price was nearly 3% lower than I set. It wasn’t that the stop-loss didn’t trigger—it’s that by the time it triggered, the market had already dropped past that point, and the trade was filled at the position with the worst slippage. The loss ended up nearly 800 U more than expected. The rule did execute, but the execution quality wasn’t what I thought it would be. I looked into Newton Protocol’s VaultKit. What it’s trying to solve is a more fundamental issue: whether the stop-loss rules themselves can be bypassed. VaultKit writes parameters like the stop-loss range, per-transaction amount limit, and allowable tradable assets into on-chain contracts. The AI agent can’t cross that line—not because the platform server tells the agent it can’t, but because the on-chain rules make it impossible for the agent to do so.