I’ve been looking at @TermMax , and one metric feels more interesting than TVL:
How much capital actually reaches maturity?
TermMax’s official model is fixed-rate, fixed-term lending and borrowing. Markets have explicit maturity dates, and lenders buy Fixed-Rate Tokens (FTs) at a discount, then redeem them for face value at maturity.
The live market page currently shows maturities like:
▶ Aug 30, 2026
▶ Sep 15, 2026
▶ Oct 16, 2026
▶ Nov 9, 2026
▶ Dec 13, 2026
And one live USDC/ynRWAx market, for example, shows 11.01% APY with maturity on Oct 16, 2026.
So when I see a big TVL number, I don’t think it tells the whole story.
The more diagnostic number might be:
Matured capital / total deployed capital
Because fixed-income liquidity has a time dimension.
A $10M position that gets rolled, exited, or replaced before maturity tells me something different from $10M that repeatedly survives the full term and settles as designed.
Most people track the first part of the system:
capital entering
I’d also track:
capital completing the term.
There’s a real reason to like this structure. Fixed-rate lending gives lenders a defined return, while the FT can be traded before maturity instead of forcing everyone to hold it to the end.
So I’m not saying early exits are bad.
I’m saying they change what TVL means.
A platform can have growing TVL while the underlying fixed-term capital is constantly rotating.
That’s why I’d want to see, over the next 3–6 months, how much capital actually reaches maturity, how much is withdrawn early, and how much gets rolled into a new maturity.
I’m genuinely not sure what the optimal number should be. It probably depends heavily on market type, maturity length, and whether users are lenders, borrowers, or vault allocators.
But if TermMax wants to prove that fixed-income liquidity works at scale, I think maturity completion rate is a much more interesting metric than headline TVL.
#TermMax $TMX $CYS
How much capital actually reaches maturity?
TermMax’s official model is fixed-rate, fixed-term lending and borrowing. Markets have explicit maturity dates, and lenders buy Fixed-Rate Tokens (FTs) at a discount, then redeem them for face value at maturity.
The live market page currently shows maturities like:
▶ Aug 30, 2026
▶ Sep 15, 2026
▶ Oct 16, 2026
▶ Nov 9, 2026
▶ Dec 13, 2026
And one live USDC/ynRWAx market, for example, shows 11.01% APY with maturity on Oct 16, 2026.
So when I see a big TVL number, I don’t think it tells the whole story.
The more diagnostic number might be:
Matured capital / total deployed capital
Because fixed-income liquidity has a time dimension.
A $10M position that gets rolled, exited, or replaced before maturity tells me something different from $10M that repeatedly survives the full term and settles as designed.
Most people track the first part of the system:
capital entering
I’d also track:
capital completing the term.
There’s a real reason to like this structure. Fixed-rate lending gives lenders a defined return, while the FT can be traded before maturity instead of forcing everyone to hold it to the end.
So I’m not saying early exits are bad.
I’m saying they change what TVL means.
A platform can have growing TVL while the underlying fixed-term capital is constantly rotating.
That’s why I’d want to see, over the next 3–6 months, how much capital actually reaches maturity, how much is withdrawn early, and how much gets rolled into a new maturity.
I’m genuinely not sure what the optimal number should be. It probably depends heavily on market type, maturity length, and whether users are lenders, borrowers, or vault allocators.
But if TermMax wants to prove that fixed-income liquidity works at scale, I think maturity completion rate is a much more interesting metric than headline TVL.
#TermMax $TMX $CYS