fxusd

fxUSD, xPOSITION, and sPOSITION are not three unrelated products, but different components of the same collateral system.

The f(x) official documentation explains that with sPOSITION added, the core invariant must take into account the collateral, collateral assets borrowed by shorts, the amount of fxUSD minted and locked, and the net value of xPOSITION and sPOSITION.

Therefore, looking only at the peg of $fxUSD or the leverage of a particular position is not enough to understand the system as a whole.
When evaluating the mechanism, first verify the overall value relationships, then examine the performance of individual products. Local stability does not mean you can skip checking the overall structure.#fxUSD #DeFi

Ladies, today the market is once again in chaos—within 24 hours, liquidations have broken 100 million USD. $BTC $ETH The volatility is huge, and stablecoin exchange demand is picking up.

I saw the Curve pool for fxUSD @protocol_fx doing $12.97 million in trading volume over the past 24 hours. At first glance, it looks like it’s starting to gain momentum. Although it’s only 183 trades, the potential is significant.

For those $12.97 million against $7.58 million in TVL, it basically turned over almost twice in a day. That suggests that when volatility spikes, capital really is using it for swaps and arbitrage.

However, the average per trade is close to $70,000. That definitely doesn’t look like small retail transactions—it looks more like aggregators, market makers, and arbitrage bots running.

Arbitrage isn’t fake. The spreads show up, and they help correct the price. And the fact that aggregators can route through it also indicates the pool has real competitiveness.

But arbitrage volume doesn’t necessarily mean users truly stick around.

Whether stablecoins can be genuinely adopted depends mainly on whether, during volatile periods, capital is willing to go through them—whether the price can hold—and how much trading volume and liquidity are left once things calm down.

#fxUSD This round of volatility has already passed the first two stages of testing; the third stage is the key. We need to see whether high trading volume can turn into sustained fees. With incentives reduced, we also have to see whether liquidity providers are still willing to stay.

Minting is just the starting point. The real “money-like” attribute depends on whether, in the messiest moments, capital is willing to go through it—and whether, after things get quiet, it’s still used. When you decide whether a stablecoin is truly being adopted, what matters most: supply and trading volume, or the usage demand that still exists even after the行情 ends?