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The market is about to turn. Here are the five most important data releases to watch over the next week, in order of importance:
1. On September 11 (this Friday), the U.S. will release August CPI. This is the last major data point before the interest-rate meeting, and it will directly affect whether the Federal Reserve raises rates on September 16. At present, the data appears to be building toward a result; if it is too high, you know what that means.
2. On September 10 (this Thursday), the U.S. will release August PPI (Producer Price Index). If this data resonates with the next day's September 11 data, it will put significant pressure on the Federal Reserve's rate-hike decision.
3. On September 10 (this Thursday), the European Central Bank will announce its interest-rate decision. Based on the current situation, a 25-basis-point hike is highly likely. This hike has already been priced in by the market; what matters more is whether this will be the last hike in this cycle and whether rate cuts will begin afterward.
4. On September 8 (this Tuesday), Japan will release the first revised estimate of Q2 GDP. This will directly affect the Bank of Japan's assessment of Japan's economic condition, as well as its rate-hike plan for the second half of the year (a rate hike is certain, but this will affect the pace).
5. On September 9 (this Wednesday), China's National Bureau of Statistics will release CPI and PPI. These data will reflect whether China's deflationary situation has improved. With domestic economic growth clearly slowing, these figures will play an important role in determining whether the Chinese government will introduce stronger monetary stimulus policies to support economic growth.

$RAY surged, with a 24-hour gain of over 60%. It has a bit of the feel of altcoin season—you sing the chorus, and I jump in!
What happened?
The direct trigger for RAY’s sharp surge is: StoneFun has launched on Raydium LaunchLab. StoneFun is a token issuance platform on the Solana chain, which means all future new token deployments from StoneFun will go through LaunchLab. This can directly bring huge trading traffic and liquidity to Raydium, which is a substantial positive for RAY.

Brothers, do you all think this bull market is normal?

Looking back, this round of the “bull” was brought about by Robinhood chain. The original official intention was to build an RWA public chain that would allow global users to trade tokenized stocks and ETFs 24/7, but what actually exploded was meme coins. We once again saw the scene that only appears in the “tail end” of a bull run, with memes flying everywhere. Its meme launch platform, pons, even surged by tens of thousands of times in just two months, leaving people like us, the bystanders, speechless. In addition, the heat around Rb also spilled over to old coins like uni and arb. Since these coins are all beneficiaries of the meme frenzy, they also soared several times in a short period.

At present, it seems that the limited funds have basically all been attracted into this kind of meme carnival, while the liquidity of other tokens has fallen to freezing point, including BTC and ETH. This is frightening. Although the illusion of prosperity is still continuing, perhaps very soon a plunge will come. Perhaps we are about to see the broader crypto market fall by more than 10% to 50%.

By then, perhaps the tide will have gone out, the dross will have been washed away, and a healthy “bull” market will begin.

#币安安全星期四
This event is very educational. It’s very important to learn wallet anti-theft knowledge. Overall, I cleared the levels twice: the first time took nearly two minutes in total, and the second time took nearly 20 seconds (entering the nickname took 5 seconds). I’m really happy with this result, haha😄.

$TUT Just now this pin actually got through, I licked it and ran off. I’m making up the past three days of alphas that were clamped 😅😅😅

$FIL actually went up. Is this just a dead cat bounce, or is a halving rally coming? I bought a tiny position a long time ago, and I found that since it wasn’t at a loss, it automatically closed out.

Tonight at 19:00—airdrop raid (probably old coins). It’s back to 250 points again. This score is one I can’t reach. Wishing my fellow buddies who can grab it to go big!

$GRVT keeps hitting new lows—could this be heading to zero? In just one short month, the coin price has been cut in half, and then cut in half again. It has already been listed on major exchanges. I originally thought it had some potential. And it feels like it still hasn’t fallen enough—there are absolutely no signs of a bottoming out or stabilization!

The core reasons behind GRVT’s continued decline may be the following three:
1. A wave of sell pressure from the airdrop. GRVT had its TGE on July 30, with a total airdrop amount of 280 million tokens. The first tranche expires on August 29. Recipients of the free tokens lack motivation to hold, creating continuous selling pressure—this is likely the main source of sell pressure recently.
2. Headwinds in the industry. The Perp DEX sector is cooling overall. GRVT’s average weekly trading volume has dropped by about 59.1% compared to before, and there is a serious lack of trading demand.
3. Expectations of massive unlocks. Currently, only 5% is circulating. In the future, 10% will unlock in November, 40% in March next year, and the remaining 55% will unlock in July. The looming shadow of large-scale unlocks keeps weighing on the market.

As for whether it has bottomed out and stabilized: let’s look at the chart. We need to see the daily MACD form a divergence and then a golden cross—this may take at least about a week. This short-term bottom could be around 0.15, 0.13, or at an extreme around 0.10 USD.

$ROBO Why suddenly inserting a pin? Because there are too many people shouting!

I used to always think that “compliance” and “privacy” on blockchain were two forces working against each other: if you want to be compliant, you need transparency; if you want privacy, you have to be anonymous—so you can only take care of one side. It wasn’t until I studied the architecture behind @Dusk in detail that I realized what it aims to do is completely different. From the ground up, Dusk is designed to blend compliance and privacy together.

The Piecrust virtual machine runs WASM contracts. Hedger uses homomorphic encryption so transaction data is not visible to the outside, but regulator nodes can generate verifiable audit evidence at any time. The mainnet goes live on January 7, 2025. In January 2026, DuskEVM officially kicks off, so Solidity developers can directly deploy applications. On top of that, by integrating Chainlink for CCIP and Data Streams, NPEX security tokens can be extended across 60+ chains including Ethereum and Solana. From a technical architecture standpoint, this combination really is worth paying attention to.

But there’s an issue you can’t get around: architecture is one thing—execution is another. In the past decade or more, NPEX helped more than 100 small and mid-sized enterprises raise over €200 million offline under traditional law. Those were equity under conventional regulations, not on-chain tokens. The DuskTrade dApp is expected to roll out between 2026 and 2027, and right now it’s still on the waitlist stage. Real on-chain settlement volume is effectively zero. Data from April 2026 shows DUSK’s all-chain TVL is under $1 million. €300 million is the goal, not a figure already closed.

I think Dusk’s direction is right. Regulated finance wants to move on-chain, and someone has to clear the hurdle of privacy and compliance. But between “the direction is correct” and “it has already been achieved” there’s a huge execution gap. With the commitment of €300 million standing there, what will Dusk use to fill it?
#dusk $DUSK @Dusk

I was first paying attention to @Dusk , and honestly, it started with a question: can privacy and compliance—these two things that seem to clash—really be solved on the same chain at the same time? Most projects either choose transparency and let institutions go “bare” while exposing themselves, or choose anonymity and keep regulators out.

Dusk’s answer really piqued my interest. It didn’t pick a side between the two; instead, it embeds both into the protocol from the ground up. In DuskDS, the Succinct Attestation consensus randomly selects a committee to propose and verify blocks. What I care about is that it provides RWA with the missing piece: deterministic finality—once a securities trade is confirmed, it can’t be rolled back. Moonlight manages public accounts, and Phoenix uses zero-knowledge proofs to shield UTXOs, allowing users to switch with a single click between transparency and anonymity. On top of that, DuskEVM lets Solidity developers get started directly. This layered design feels more solid than I expected.

But what I don’t fully agree with is that a pretty document doesn’t equal real-world product delivery. Developers have to handle two sets of state logic—both Moonlight and Phoenix. Account balances and encrypted notes run in parallel, so when writing and clearing a lending contract, you end up calculating both sides. The documentation says “choose as needed,” but in practice it shifts the complexity onto the ecosystem. Verifier KYC requires real-name identification, and it has been criticized as “not decentralized enough.” I understand that institutions may need to know who to contact if something goes wrong, but the cost is that ordinary people basically don’t get a meaningful chance to become validator nodes. So is this a “regulation-friendly consensus,” or is it a permissioned network wearing the outer shell of a public chain?

What worries me even more is another detail: the news that NPEX plans to tokenize over €300 million in securities onto the blockchain has been widely publicized, but currently on-chain real trading volume and TVL data are still blank. There’s a noticeable gap between the numbers announced and the execution so far. At the moment, $DUSK is priced at about $0.058, with a market cap of roughly $35.6 million. Market interest is there, but the real consumption hasn’t caught up.

So, when looking at Dusk now, I won’t become blindly optimistic just because it claims to resolve the “privacy vs compliance” contradiction. The technical direction is worth attention, but from cryptographic feasibility to whether regulators and developers truly buy in—there’s still an engineering gap in between. What I really want to know is: who holds the “key” that unlocks all privacy? And after those €300 million assets go on-chain through NPEX, what is the actual number of daily transactions in real terms?
#dusk $DUSK @Dusk

I’ve been mulling over a question: can privacy and compliance really be achieved at the same time when regulated financial assets are put on-chain? The answer given by @Dusk makes me want to keep unpacking it.

What Dusk wants to do is undeniably compelling. Using the Phoenix and Moonlight dual-trading model to solve the old “privacy vs. compliance” problem, then adding the DuskDS settlement layer and the DuskEVM compatible with Solidity—with the goal of moving regulated securities and bonds onto the blockchain. In the 2026 roadmap, tokenized securities worth €300 million being put on-chain in cooperation with the Dutch NPEX also sounds like it could be on the right track.

But what truly made me pause was something else.

In the January 2026 security incident, the headline was that a bridge service’s signing wallet was hacked and the attacker attempted to move 8.91 million DUSK. What I care about more, though, is the subsequent disclosure: Dusk’s implementation of the PLONK zero-knowledge proof contains a verification flaw— the verifier didn’t actually check the polynomial commitments provided by the prover. What does that mean? In theory, someone could mint DUSK out of thin air. The team later patched it, but after all, for a cryptographic implementation to have a vulnerability at this level, to be honest, it makes me question the engineering rigor of the entire tech stack.

Let’s look at the data, too. $DUSK is around $0.06 now, with a market cap of less than $40 million. An L1 that’s been on mainnet for 8 months, and its ecosystem has only 4 projects. Ongoing token issuance creates continuous supply pressure, which has been weighing on the price. And its architecture relies heavily on the EU regulatory framework—if policy changes, the whole story may need to be rewritten.

I acknowledge Dusk’s direction. The positioning of privacy + compliance is definitely precise. But between the technical direction and commercial rollout, there’s an entire gap of security audits and ecosystem cold-start.

For me, the question with DUSK right now isn’t whether to buy it—it’s whether I’d dare to put real assets into it. When the ecosystem projects exceed 20 and no further security incidents have happened for a year, then it won’t be too late to revisit this story.
#dusk

When I was researching @Dusk , what I cared about most wasn’t really “yet another privacy chain,” but a more realistic problem: once securities and funds are put on-chain, you can’t fully disclose investors’ information, and regulators also can’t see nothing. How exactly is this supposed to be solved?

Dusk’s answer is pretty interesting. Phoenix uses ZK for shielded transfers, hiding both the amounts and the participating parties; Moonlight keeps the public-account model. In the end, both of them settle on DuskDS. Citadel then adds selective disclosures at the identity layer. Investors can prove attributes like residence, age range, and whether they’re qualified investors—without having to expose all of their identity information.

I quite agree with the rationale behind this design, because it finally pulls “privacy” back from anonymous storytelling into actual financial business: privacy isn’t simply “nobody can see,” but rather “who should see, and how much they should see” becomes part of the protocol. Dusk Trade, Zedger/Hedger are also continuing to focus on the real processes around investor access, issuance of regulated assets, and transfer and settlement.

But that’s exactly where a bigger issue is buried. The more financial rules are written into code, the more deterministic execution becomes; yet real-world rules have always kept changing. When investor eligibility changes, assets are frozen, or regulatory requirements are updated, who updates the on-chain state? And after it’s updated, what happens to assets that have already been issued? I think this is more worth studying than whether the chain has enough TPS.

DUSK is currently mainly used for Gas and Staking, with a maximum supply of 1 billion. The official mechanism will also include transaction fees in block rewards. But what’s truly worth watching is: as the scale of financial assets grows in the future, can it form sustained demand—$DUSK —rather than just narrative growth.

So when I look at Dusk now, I’m not just wondering whether it can deliver privacy well. I want to see one thing instead: when real-world rules keep changing, can it let code evolve with them—without turning financial assets into a set of “dead rules” that nobody dares to modify?
#dusk $DUSK @Dusk

What I care about most when studying @Dusk isn’t yet another label on a privacy chain, but rather the more practical question it tries to answer: how do regulated financial assets stay confidential yet still be auditable on-chain?

Dusk’s technical architecture genuinely has aspects worth praising. The SBA consensus achieves deterministic finality; for financial use cases, that feels more reassuring than probabilistic finality. Phoenix uses UTXO plus zero-knowledge proofs for default private transactions, and Zedger handles end-to-end lifecycle management of compliant assets. Mainnet is scheduled to launch on January 7, 2026, with DuskEVM rolling out in sync—Solidity developers can deploy applications directly. The partnership with NPEX is also worth noting: this Dutch licensed exchange has served more than 100 SMEs, raised over €200 million, and plans to bring around €300 million in assets to Dusk. DUSK did not introduce a separate Gas token; staking APR dropped from about 27% in November 2025 to 22.31%, and its market cap is around $29.94 million as of August 2026.

But I can’t ignore a few issues.

On January 16, 2026, the Dusk bridge’s signed wallet experienced abnormal operations, affecting approximately 1270万$DUSK . The official statement emphasizes that this is not a protocol-level vulnerability, but since the bridge is an entry point into the ecosystem, the impact on ecosystem trust is very real. What concerns me even more is a PLONK implementation issue found by the OtterSec team in April 2026: the verifier does not perform KZG verification on multiple polynomial evaluations provided by the prover, allowing relevant parties to construct proofs that bypass constraints. Although it has been fixed, Dusk’s privacy layer protects roughly $60 million in assets, and its core security relies on a single proof check. In addition, the design that requires validators to complete KYC is often criticized as “not decentralized enough.”

So my question is this: if Dusk truly becomes an on-chain settlement layer for regulated assets, how much of these economic activities will actually translate into sustained demand for DUSK? I agree with the technical direction, but whether the token economics are valid still needs more real on-chain data to verify.
#dusk $DUSK @Dusk

I first started paying attention to @TermMax , not because its TVL had grown by how much, but because of a question that has always bothered me: after so many years of DeFi lending, why hasn’t fixed-income still been able to form a sufficiently mature on-chain structure?

I tried depositing on lending platforms—the interest rates change every day, making it impossible to plan cash flows three months in advance. That kind of uncertainty really gets to me.

After digging deeper, I found that TermMax is doing something quite special. It isn’t just writing a fixed interest rate into a contract. Instead, using this three-coin setup—FT, XT, and GT—it breaks a loan into tradable time slices. FT is like a zero-coupon bond, settled at face value upon maturity; GT bundles collateral and debt into on-chain credentials. Only then did I realize that fixed income might be starting to become modular.

Range Order is another design that made me stop and look more closely. Traditional lending adjusts rates based on capital utilization, so users can only passively accept whatever comes. TermMax, however, lets market makers place orders within a range of interest rates, so the market discovers the price itself. V2 further integrates range orders and limit orders, and combines atomic orders with idle capital automatically earning yield. The issue of fragmented liquidity is indeed improving.

But to be honest, I still have concerns. TermMax’s mechanism is more complex than most lending protocols, with multiple mentions of “elevated risk.” More steps mean more potential failure points—under extreme market conditions, are these constraints enough? I’m not sure. TVL has also fallen somewhat from its peak. TMX, as the governance token: if large holders can influence interest-rate parameters and asset eligibility, will governance end up becoming a game for a few? The role of Curator is described in the docs as being run by a professional team, but why should I trust that they make better judgments than I do?

My take is this: TermMax provides a direction worth watching—one that may help the on-chain fixed-income market truly take shape. But the more complex the mechanism is, the more things need to be validated. It hasn’t solved everything yet; it’s simply trying to build new connections between assets, time, and credit.

Would you choose to trust the code, or trust Curator’s judgment? #termmax @TermMax

I used to trade within institutions, and what I found most frustrating was that the order book was always watched closely by the counterparty—prices wouldn’t even get placed before the market already started moving. On the blockchain, it gets even worse: every transaction record is public, and anyone can see how much is in each wallet at a glance. Transparency is a double-edged sword, but with large-volume capital moves, who would dare to run like that?

So when I saw @Dusk , my first reaction wasn’t, “Here comes another privacy project,” but rather, “Someone is taking seriously the idea of putting financial assets on-chain.”

First, let’s talk about what I appreciate. Dusk didn’t treat privacy as a toggle switch—it keeps two models at the same time: Phoenix for privacy-preserving transfers based on UTXO, and Moonlight as a transparent account. Users can choose based on the scenario, because in finance the needs for confidentiality and openness are simply not the same. Technically, Dusk has just upgraded to a three-layer modular design: the bottom layer handles consensus and settlement, the middle layer maintains compatibility with the Ethereum ecosystem, and the top layer provides privacy-preserving application functionality. On top of that, Zedger manages the securities lifecycle, and Citadel performs zero-knowledge identity verification. The whole system redesigns compliance, privacy, and settlement together.

In terms of rollout, the mainnet is scheduled to launch in January 2025, in partnership with the Netherlands’ NPEX exchange, with plans to put hundreds of millions of euros in securities on-chain. These are the timelines—there are already clear dates.

But the issues are also obvious. The biggest thing that makes me cautious is centralized risk: the EVM layer is driven by a single sequencer, similar to the “backbone” of Ethereum L2. While the sequencer is cheap, it’s also fragile—and it’s the thing you’re tied to. If a regulatory committee were summoned through a legal entity, decentralization would be hard to guarantee. Another problem is that the market isn’t buying it. Right now, on-chain activity is still dominated by old playbooks like spot trading and lending. Privacy-and-compliance isn’t a must-have need for most people, so the technical advantages don’t yet map to real demand.

My view is that Dusk hasn’t taken the wrong direction, but we’re in the “technology waiting for the market” stage. I’ll put it near the top of my watchlist, waiting for NPEX assets to truly pick up momentum—and for the real usage share of privacy-preserving transactions.

When major financial institutions’ clearing systems run on a public chain, do you think they’ll choose full transparency or privacy with tiered levels? Let’s discuss in the comments.
#dusk $DUSK @Dusk

#Binance Safety Thursday
Choose C.
After stolen on-chain assets are recovered, the success rate is extremely low. The “experts” who proactively private-message you are basically second-time scammers. Instead of risking it to verify, it’s better to block them directly, keep the evidence, and report to the authorities. Ironclad rules for survival in the crypto world: don’t pay, don’t give out private keys, and don’t hold onto fantasies.

When I looked at privacy projects before, I always felt something was off. Either it’s as fully anonymous as Monero—so regulators take one look and shake their heads. Or it’s like Zcash’s “selective disclosure,” but in practice the bar is too high, and institutions can’t really play with it. It wasn’t until I saw how traditional financial institutions handle equities and bonds—wanting privacy while still needing compliance—that I realized where the problem actually was. Most blockchains treat “privacy” and “compliance” as a binary choice, but the real financial world needs both.

What caught my attention about Dusk is that it doesn’t dodge this contradiction. It uses Phoenix for privacy transactions on UTXOs, and Moonlight runs transparent accounts—two legs, both moving. Zedger manages the issuance and lifecycle of regulated assets, while Citadel enables zero-knowledge identity selective disclosure. DuskEVM is compatible with the Ethereum ecosystem, lowering the development barrier. This architecture weaves privacy, compliance, and auditability together. @Dusk

But on the flip side, I also have concerns. First, the performance cost of zero-knowledge proofs—whether generating proofs’ speed and the Gas fees can support large-scale adoption is still a big question. Second, the idea that validators need KYC has been criticized by many as “not decentralized enough.” But from another perspective, that’s precisely the prerequisite for institutions to actually enter the space—when problems happen, you know who to contact. Third, and biggest of all, the RWA track hasn’t really taken off yet. No matter how refined the technology is, without a massive amount of real assets being put on-chain, it’s still just an “overbuilt test highway.” Dusk’s mainnet has been live for over a year, and its market cap is currently under $30 million—suggesting the market is still watching from the sidelines.

When I look at Dusk, I’m not looking at how big it is right now—I’m looking at whether the direction it’s betting on is right: writing compliance into the protocol layer, not patching it on after the fact. Its collaboration with NPEX is already pushing Europe’s first blockchain securities trading platform. If this path works, the value logic won’t be the same as that of “privacy coins” anymore. When one day Wall Street’s clearing system truly runs on a public chain, do you think they’ll choose full transparency—or this kind of privacy-tiered approach? Let’s talk in the comments. #dusk $DUSK

I deposited some USDC in Aave. I thought I’d be able to relax—but when the market moved, borrowing demand picked up and the interest rate jumped from around 4% to almost 9% within a few days. I didn’t actually lose money, but that feeling of having no idea what the rate will be tomorrow is really uncomfortable. So when I looked at @TermMax , the one thing I cared about most was whether it can provide the “certainty” I want, and what I would need to trade off to get that certainty.

What attracted me to TermMax is that it breaks a single debt into three parts: FT, XT, and GT. FT is like a zero-coupon bond—you redeem 1 unit of the debt token at maturity. GT is a loan position in NFT form, recording the collateral and the debt. XT works with FT to maintain a value balance, and it goes to zero at maturity. Borrowers lock collateral to mint GT and FT, then sell FT at a discount to obtain liquidity. Lenders buy FT, and at maturity redeem it at face value—the difference is the lender’s profit. This design turns “fixed income” from a concept into an on-chain asset that can be traded independently.

What I’m also most interested in is the V2 order book. Previously, fixed-rate market depth might look decent, but if you try to hit it with a large order, liquidity can fall apart. V2 aggregates Range Orders and Limit Orders into a single transaction: lenders post the lowest interest rate they’re willing to accept, and borrowers set the highest cost they can tolerate. In effect, it hands the question of “how the rate is determined” directly to the market.

That said, there’s also a downside to consider. The FT/XT/GT mechanism is indeed novel, but novelty also means complexity. If anything goes wrong in any part of the settlement process at maturity, losses could result. Also, if the collateral is a highly volatile asset, what the lender receives at maturity may not be a stablecoin but a pile of collateral assets. While physical delivery avoids a chain-reaction liquidation cascade, the lender still has to decide whether to hold or sell. This isn’t a flaw—it’s a fact you need to know in advance.

Also, not every market has much depth. Some markets have only a few dozen to a couple hundred USDT on the Lend side, but the Borrow side might have hundreds of thousands. The interest rate tells you what the price is, and the depth tells you whether that price actually matters to your trade.

My view is: prioritize mainstream assets and markets with conservative collateralization ratios. If the yield is clearly higher than similar pools, assume it’s a risk premium first.

If, after you lend, you receive a bunch of volatile assets at maturity, have you already thought about how you’d handle them?
#termmax

A few years ago I deposited some money in a floating-rate agreement. The APY looked great at the time—then the market swung and the interest rate first rose and then fell. When I finally tried to withdraw, the pool utilization spiked to over 90%, and the withdrawal slippage ate up nearly half a month of my returns. After that, I understood one thing: the real cost of on-chain lending isn’t the interest rate number—it’s that you have no idea what tomorrow will look like.

So when I looked at @TermMax , my first reaction wasn’t, “Fixed rates are so nice.” It was, how does it handle this uncertainty?

Let me start with what I agree with.

TermMax turns the term into an explicit variable. Lenders buy FT and clearly know which day the funds are locked until and how much will be redeemed at maturity. Borrowers open GT, and they know exactly when they must repay and what the cost will be. Range Order expresses the interest-rate range via a Pricing Curve, so supply and demand match by term and expectations rather than being priced by a single liquidity pool. What catches my attention is that this design puts “who bears the mismatch, and for how long” into the contract instead of hiding it behind a utilization curve.

But I don’t think that means there’s no risk.

The biggest cost is liquidity. During the lock-up period, if you want to leave, you can only sell the FT on the secondary market. The price will fluctuate with the remaining term and current interest rates—this is duration risk. You think you’ve locked in your yield; when market rates rise, your FT on the secondary market trades at a discount. Maturity is a hard constraint, not a soft reminder. Contract loopholes, oracle anomalies, and thinner market depth around or before maturity—none of these have been eliminated.

There’s also the physical delivery after GT triggers liquidation. The collateral assets are transferred directly to the lender rather than being sold off in the market. That’s good for the system—it removes a round of sell pressure—but what the lender receives isn’t necessarily stablecoins. It could be a pile of volatile assets, and then the lender has to handle disposing of them.

My takeaway is this: TermMax’s value isn’t the “fixed income” outcome itself. It lies in making the mismatch risk that floating-rate agreements implicitly allocate to everyone explicit and selectable. You trade away flexibility to exit at any time in exchange for certainty—and that trade-off is laid out plainly, much more honest than those agreements that are “withdrawable anytime” but, in extreme cases, you might not be able to get out.

One question for you: would you rather accept a pre-agreed lock-up period, or the “flexibility” of nominally being able to withdraw anytime, even if in extreme situations you may not be able to?
#termmax