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Call @TermMax . You can look at TVL, but千万别当成唯一评判标尺。
Now the balance-sheet locked-in data looks great, but a lot of funds are just quietly sitting in the pools. The share of genuinely active loans that actually get run is not that high. All kinds of activity incentives and liquidity that deposits tokens can boost TVL to very high levels in the short term—this is a common phenomenon in DeFi projects and does not equal real user demand.

Fixed-rate lending ultimately comes down to how well you can continuously match and close transactions. If funds flow in, that only shows the supply side is in place. You still need borrowers who are willing to pay the fixed cost for the term; only then can the interest-rate/borrowing market really work. Otherwise, you just have a good-looking product framework.

Also worth paying attention to is the problem of concentrated capital on-chain. Even if the project has deployed across multiple chains, deployment does not automatically mean there is corresponding ecosystem demand. A single migration of a large amount of funds can push up ranking positions, but the number of borrowing transactions and paid users may not rise at the same pace.

In the current market, with BTC and ETH recently fluctuating back and forth, many funds rotate between spot and DeFi pools. Many projects rely on incentives to stack data, and bubbles can easily obscure the true fundamentals. Going forward, when tracking, rather than just watching how locked-in figures move up and down, you should focus more on the active loan ratio, the actual executed trades, and whether the protocol’s revenue comes from real borrowing—not from short-term subsidies creating a mirage. #TermMax

@TermMax #termmax
If the interest rate of borrowing were no longer merely calculated automatically by an algorithm output, but instead could be set via user limit orders, matched, and determined through strategic interaction, then in the DeFi lending market, what exactly is being traded: the asset itself, or the right to use capital along the time dimension?

At first, I understood TermMax as simply a tool for fixed-rate lending and borrowing. But after rereading the V2 mechanism design more carefully, my view changed: at its core, it separates the time value of funds and prices it as a standalone tradable item. FT represents debt instruments that entitle repayment of principal upon maturity. XT is used to hedge fluctuations in debt. Borrowers can lock in forward financing costs early by selling their positions, without being passively pulled around by floating rates.

What truly brings about a qualitative shift is the order book mechanism. Limit orders let lenders specify the lowest lending interest rate they are willing to accept, while borrowers specify the highest borrowing cost they are willing to bear. Interval orders go a step further by allowing users to submit an entire rate range order directly. Interest rates are no longer an ancillary result derived after a borrowing event; they are the central game condition set before matching and trading.

On top of that, with order aggregators consolidating multi-source quotes to complete matching and execution, TermMax is already infinitely close to a native on-chain interest rate market—yet there is still a gap to a fully mature interest-rate exchange.

At the same time, we must not ignore real-world constraints: placing large numbers of orders does not automatically guarantee a fair price. Thin market depth, liquidity fragmentation across different maturity horizons, and admin pricing deviations could all cause interest rates on the board to be artificially too high or too low, disconnecting them from true market expectations.

Going forward, I will continue tracking two core signals: whether interest rates across each maturity can generate a continuous, stable yield curve, and whether users’ active limit orders can consistently produce enough competitive conditions for real matched trades to actually occur.

@TermMax #termmax
Looking back at the development of DeFi fixed-rate lending, the industry has clearly gone through several distinct shifts in its underlying model. At the beginning, most people basically bet on order-book matching. As the ecosystem gradually evolved, many projects started embracing AMM-based approaches. This isn’t just a change in technical configuration—it’s largely the result of real market demand forcing the transition.

TermMax originally also followed an order-book route: borrowers and lenders each post the interest rate and term they are willing to accept, and then the system matches them. In theory, this approach provides a very thorough price negotiation—because the execution price reflects both parties’ genuine intentions. But the shortcomings in practice are just as obvious. Fixed interest rates also have to be bound to specific maturity times, the number of possible condition combinations is large, and market depth is therefore very easy to dilute. When market activity is slow, orders can sit there for a long time; longer-term instruments are even more likely to face the embarrassing situation of having no buyers. User experience suffers significantly.

Moving to AMM, along with customizable pricing curves, is not simply copying an off-the-shelf Uniswap template. What it solves is the core contradiction: getting rid of the heavy dependence on counterparties. Market makers can set their own expected yield curves. All funds are pooled into a public reserve, and when users submit trades, they can be matched immediately. In essence, it involves a trade-off: sacrificing a small degree of pricing “perfection” in exchange for the continuity of liquidity—no longer having to passively wait for matching.

My understanding is that this evolutionary path is not unique to TermMax. It’s a step the industry can’t avoid if it wants to expand its user base. An order book works well for validating early, low-volume markets, but if you want ordinary users to be able to use and redeem whenever they want, you can’t do without the liquidity depth brought by AMMs. This is consistent with how spot markets develop—it's just that fixed-rate products come with more constraints, so the shift in model tends to happen later.

If you had to choose a fixed-rate product, would you care more about pricing that’s accurate enough, or would you prioritize having liquidity that can always execute trades?

Recently, I learned about the newly launched AERO put option vault by @TermMax . To be honest, I think the design of this product is pretty interesting. It combines option premiums and vault yield. After depositing USDC, the funds won’t just sit idle. On one hand, you can earn the premium from the options strategy; on the other hand, you can also get passive income from Morpho’s selected vaults. For idle stablecoins in hand, it offers yet another path worth trying.
One practical feature is that it comes with automatic take-profit and stop-loss, so you don’t need to spend a lot of time watching the market. That makes it much more user-friendly for ordinary participants.
However, while the returns look attractive, the risks must also be clearly understood. It is not a principal-guaranteed investment. If AERO experiences a sharp decline, it can lead to losses of principal, and all DeFi products come with potential smart contract risks that cannot be avoided.
So this vault is more suitable for people who can tolerate market volatility and want returns higher than ordinary demand deposits. If your funds cannot accept any loss at all and you are pursuing absolute safety, then it is best to avoid this kind of strategy product. 🤔
#termmax

I choose D

Reason: A large part of the uncertainty in the crypto market comes from regulation. The CLARITY Act being delayed means that hard new rules won’t be implemented in the short term, giving the entire industry room to breathe. Whether it’s tokenized stocks or other crypto assets, they can continue to develop in a relatively more permissive environment. Compared with market moves and product iterations, regulatory policy is the underlying variable that can determine the overall direction of the entire track.

#币安节气
It must be U and USD1 wealth management
High interest, and no fear of volatility—so good!