termmax's niche is fixed-rate tokenized debt, and it's not actually alone there — pendle, notional, and term finance are all circling the same problem from different angles. pendle splits yield-bearing assets into principal and yield tokens. notional runs fcash through liquidity pools. termmax's own solution is the range order amm, curators posting segmented pricing curves that borrowers and lenders match against directly.
i went back and forth on why that specific approach over an auction model or a pure yield-split, and i think it comes down to control — a range order setter can shape exactly where liquidity sits on the curve instead of just accepting a clearing price. that's more hands-on for market makers, which cuts both ways: better rates when someone's actually managing the curve well, worse ones if nobody bothers to update it as conditions shift.
haven't actually run the same trade size through pendle and termmax side by side to compare real execution, so this is a structural read, not a backtested one 📐
#termmax @TermMax
i went back and forth on why that specific approach over an auction model or a pure yield-split, and i think it comes down to control — a range order setter can shape exactly where liquidity sits on the curve instead of just accepting a clearing price. that's more hands-on for market makers, which cuts both ways: better rates when someone's actually managing the curve well, worse ones if nobody bothers to update it as conditions shift.
haven't actually run the same trade size through pendle and termmax side by side to compare real execution, so this is a structural read, not a backtested one 📐
#termmax @TermMax
