Leverage updates came at the same time as the volume milestone. It gives more control for active strategies without changing the risk approach. Ekiden is adjusting based on real trading. That kind of responsiveness is worth noting. @ekidenfi worth watching atm #Ekiden #Crypto

Most perp DEXs compete on the same things like more leverage, more markets, deeper liquidity, faster execution. @ekidenfi is taking a different angle. It is building the first CLOB-based derivatives exchange on @CantonNetwork, with one feature that immediately changes the trading environment which is positions and account activity are not public by default. That matters because one of DeFi’s biggest weaknesses for professional traders is transparency. On most chains, large positions, liquidation levels, wallet activity and trading behaviour can all be reconstructed from public data. Ekiden is trying to bring perpetual markets into an environment where traders can still get onchain settlement without broadcasting their entire book to the market. And @CantonNetwork is what makes that possible. — ● Canton uses a need-to-know data model. Instead of every transaction being visible to everyone on the network, participants only see the information they are entitled to see. So the trading flow becomes closer to: Trader -> Ekiden CLOB -> confidential execution -> Canton settlement while individual positions and account activity stay outside the public view. That is a very different model from most crypto-native perp venues. Ekiden mainnet is already live, although access is still invite-only and the first rollout is focused on active traders. Less than two weeks after launch, the exchange has reached: • $3.3M+ trading volume • $329K+ TVL • $115K+ open interest • current perpetual markets include $BTC , $ETH , $HYPE , $CC with leverage up to 20x. Those numbers are still early, but the more interesting part is the market structure being tested underneath them. — ● Ekiden is not built like a simple AMM-based perp venue. It uses an institutional-style central limit order book. That gives professional traders access to the kind of execution model they already understand: • Limit orders • Order-book liquidity • Market-making strategies • Algorithmic execution And the infrastructure goes deeper. Ekiden exposes REST and WebSocket APIs, which means market makers and trading firms can connect programmatically instead of relying on a frontend. That matters if Canton’s derivatives market is going to attract professional liquidity. Retail traders care about the interface but professional traders care about latency, API access, execution quality and information leakage. Ekiden is clearly being designed around the second group. — ● The account architecture is also worth noting. Ekiden uses account abstraction to separate: • network identity • funding • trading activity That separation can make institutional trading infrastructure much cleaner. A firm does not necessarily want the same address used for identity, custody, funding and every individual trade. Separating those layers gives traders more flexibility around permissions and operational security. Combined with Canton’s privacy model, it starts looking closer to how institutional trading systems are normally structured. And this is why Ekiden is interesting within the broader @CantonNetwork thesis. Canton already has institutional activity across areas like: • Treasuries • Repo • Collateral • Securities lending • Digital cash But public DeFi and trading infrastructure on the network are still early. If Canton wants to become a broader capital-markets network, it eventually needs more than tokenized assets and settlement. It also needs actual markets around those assets and @ekidenfi is attacking the derivatives layer. The bigger opportunity is not simply offering BTC or ETH perps on another chain. It is building the trading infrastructure that could eventually support confidential derivatives around tokenized financial assets.