#termmax Fixed-rate borrowing looks reassuring, but the easiest thing to overlook is market depth. TermMax now uses Limit Orders across all markets, so lenders can set the minimum acceptable interest rate and borrowers can set the maximum acceptable interest rate—both sides can lock in the price. The question is: how much real capital actually supports the locked number? If a certain term has only a small number of orders, then just a few larger chunks of money can push the rate very low or very high. In that case, “fixed interest rate” is less about discovering a market price and more like a temporary quote set by a handful of participants.$SNDKB
I’ve encountered similar situations: when a short-term market has sparse order postings, a single loan cap rate can push the成交 price far away from the floating-rate level. On the surface, the borrower appears to get a low interest rate, but that rate doesn’t really represent anything meaningful. Locking an interest rate doesn’t mean locking a fair price. In other words, when order depth isn’t sufficient, the so-called market interest rate is easily distorted—it doesn’t reflect supply and demand, but rather the quoting power of a few individual order submitters.$SPCXB
This made me revisit the Order Aggregator in TermMax. While it can search for better execution across different orders, if the entire pool is shallow, even the best aggregation can only choose among a small set of quotes. The real key isn’t whether there are limit-priced orders; it’s whether there is enough independent capital behind those limit orders. As participation grows and quotes become denser, the成交 price may start to approach the true capital cost.
So when I look at TermMax, I don’t just focus on whether the rate is high or low. I also look at the thickness of posted orders and the level of quote competition. If, for a subsequent term, orders keep increasing and the FT成交 price can form a stable relationship with the floating rate, that suggests fixed rates are starting to reach market consensus; otherwise, it’s more suitable for small-cap trials, not for large-cap cost assessment. #TermMax @TermMax still has a long road ahead—the threshold of liquidity is one you can’t bypass.
I’ve encountered similar situations: when a short-term market has sparse order postings, a single loan cap rate can push the成交 price far away from the floating-rate level. On the surface, the borrower appears to get a low interest rate, but that rate doesn’t really represent anything meaningful. Locking an interest rate doesn’t mean locking a fair price. In other words, when order depth isn’t sufficient, the so-called market interest rate is easily distorted—it doesn’t reflect supply and demand, but rather the quoting power of a few individual order submitters.$SPCXB
This made me revisit the Order Aggregator in TermMax. While it can search for better execution across different orders, if the entire pool is shallow, even the best aggregation can only choose among a small set of quotes. The real key isn’t whether there are limit-priced orders; it’s whether there is enough independent capital behind those limit orders. As participation grows and quotes become denser, the成交 price may start to approach the true capital cost.
So when I look at TermMax, I don’t just focus on whether the rate is high or low. I also look at the thickness of posted orders and the level of quote competition. If, for a subsequent term, orders keep increasing and the FT成交 price can form a stable relationship with the floating rate, that suggests fixed rates are starting to reach market consensus; otherwise, it’s more suitable for small-cap trials, not for large-cap cost assessment. #TermMax @TermMax still has a long road ahead—the threshold of liquidity is one you can’t bypass.
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