#termmax @TermMax People who have done bond over-the-counter trading will naturally be more wary of the two characters “term/maturity.” The difficulty usually isn’t in calculating interest, but in whether there will be enough counterparties to take the trade when it comes due. The real pain point in the fixed-income market has never been pricing; it’s that every maturity date is an independent trading market, yet the total market liquidity is limited.$RE
At first, I understood that @TermMax’s fixed-rate framework is mainly meant to solve the problem of uncontrolled returns caused by floating interest rates. After carefully reading through the document, I realized that while it addresses the old issue, it also introduces a more troublesome structural contradiction.$SKYAI
Let’s first clarify the underlying mechanism: the protocol hard-codes the token identity—at any moment, 1 FT + 1 XT is equivalent to 1 debt token. This isn’t an equilibrium price derived from market bargaining; it’s an identity relationship written into the contract’s foundation. FT can be directly redeemed for debt tokens at maturity; in contrast, XT has no redemption value after maturity—its value will go to zero.
The fee design is also quite clean: the 2% protocol fee is charged only on the interest portion and does not touch the principal. For example, in a one-year loan position with an annualized 10% rate, the actual cost is only 0.20% of the principal. If you choose a shorter term, the fee will be even lower. Looking purely at the pricing logic, there’s hardly anything wrong—but the true risk doesn’t lie in pricing.
A fixed-term model means that for each maturity cycle, you have to maintain a separate order book. 30 days, 90 days, 180 days—each becomes an independent trading pool, and each pool has its own trading depth. With the same amount of capital, placing it in a floating-rate pool preserves a complete piece of liquidity; switching to a multi-maturity fixed-rate market fragments and cuts it up. The more possible maturity dates there are, the richer users’ choices become, but the liquidity of each individual pool becomes thinner.
This architecture brings two unavoidable costs—features inherent to fixed-maturity products rather than a simple design bug.
First is the rollover/maturity extension risk. After the borrower’s term ends, they must either settle the debt or choose to roll it over (extend the borrowing). When a large number of positions mature at the same time, the market faces concentrated rollover demand. At that point, the cost of finding counterparties for the trade can rise sharply.
At first, I understood that @TermMax’s fixed-rate framework is mainly meant to solve the problem of uncontrolled returns caused by floating interest rates. After carefully reading through the document, I realized that while it addresses the old issue, it also introduces a more troublesome structural contradiction.$SKYAI
Let’s first clarify the underlying mechanism: the protocol hard-codes the token identity—at any moment, 1 FT + 1 XT is equivalent to 1 debt token. This isn’t an equilibrium price derived from market bargaining; it’s an identity relationship written into the contract’s foundation. FT can be directly redeemed for debt tokens at maturity; in contrast, XT has no redemption value after maturity—its value will go to zero.
The fee design is also quite clean: the 2% protocol fee is charged only on the interest portion and does not touch the principal. For example, in a one-year loan position with an annualized 10% rate, the actual cost is only 0.20% of the principal. If you choose a shorter term, the fee will be even lower. Looking purely at the pricing logic, there’s hardly anything wrong—but the true risk doesn’t lie in pricing.
A fixed-term model means that for each maturity cycle, you have to maintain a separate order book. 30 days, 90 days, 180 days—each becomes an independent trading pool, and each pool has its own trading depth. With the same amount of capital, placing it in a floating-rate pool preserves a complete piece of liquidity; switching to a multi-maturity fixed-rate market fragments and cuts it up. The more possible maturity dates there are, the richer users’ choices become, but the liquidity of each individual pool becomes thinner.
This architecture brings two unavoidable costs—features inherent to fixed-maturity products rather than a simple design bug.
First is the rollover/maturity extension risk. After the borrower’s term ends, they must either settle the debt or choose to roll it over (extend the borrowing). When a large number of positions mature at the same time, the market faces concentrated rollover demand. At that point, the cost of finding counterparties for the trade can rise sharply.