No sleep at 2 a.m. I couldn’t put down the TermMax docs, and while reading the section about the split between GT and FT, one detail made me pause and think through its pricing logic again.
The problem with traditional lending agreements is that the interest rate fluctuates in real time with the depth of the liquidity pool—both the lender and borrower are essentially betting on what the curve will look like in the next second. TermMax changes this by moving to an order book model: the lender posts an interest-rate curve, the borrower executes against that curve, and price discovery happens directly on-chain without having to guess based on the supply-demand ratio of the pool. Interest is split into FT, packaged, and sold upfront; the cost for the entire term is effectively locked at the moment of execution. Both sides get a definite number, not a projected range.
The liquidation mechanism follows the same logic too—when collateral liquidity is insufficient, it uses real asset transfers rather than dumping at market price, which helps reduce one layer of cascading risk where liquidation itself would otherwise break through the price again.
What I still haven’t fully worked out is whether the order-book model has enough depth to maintain high matching efficiency under extreme market conditions—that can only be confirmed through real stress tests.
#TermMax @TermMax
The problem with traditional lending agreements is that the interest rate fluctuates in real time with the depth of the liquidity pool—both the lender and borrower are essentially betting on what the curve will look like in the next second. TermMax changes this by moving to an order book model: the lender posts an interest-rate curve, the borrower executes against that curve, and price discovery happens directly on-chain without having to guess based on the supply-demand ratio of the pool. Interest is split into FT, packaged, and sold upfront; the cost for the entire term is effectively locked at the moment of execution. Both sides get a definite number, not a projected range.
The liquidation mechanism follows the same logic too—when collateral liquidity is insufficient, it uses real asset transfers rather than dumping at market price, which helps reduce one layer of cascading risk where liquidation itself would otherwise break through the price again.
What I still haven’t fully worked out is whether the order-book model has enough depth to maintain high matching efficiency under extreme market conditions—that can only be confirmed through real stress tests.
#TermMax @TermMax