Metric launches new DEX with Chainlink Data Streams for pricing

Metric, the decentralized exchange aggregator that quietly routed over $5 billion in trades across nine chains, is stepping out of stealth mode with something bigger: its own DEX, powered by Chainlink Data Streams for real-time pricing.

The new exchange is designed to trade tokenized stocks, ETFs, commodities, and real-world assets using reference prices pulled from Chainlink’s low-latency data infrastructure. Instead of relying on the internal state of liquidity pools to determine what an asset is worth, Metric’s DEX will lean on external, verifiable price feeds.

From aggregator to exchange

Metric spent the better part of a year operating under the radar as an aggregator across multiple EVM-compatible chains. In the quarter leading up to July 2026, the platform processed more than $5 billion in trade volume, with roughly $2 billion of that coming in the final month alone.

The platform’s pitch to liquidity providers centers on capital efficiency, with the team targeting capital turnover rates of approximately 450x monthly on active pools.

Why external price feeds change the game

Traditional AMMs like Uniswap or Curve derive prices from the ratio of assets sitting in a pool. This works reasonably well for liquid crypto pairs, but it creates problems for assets that don’t have deep on-chain liquidity, like tokenized equities or commodities. Thin pools mean wide spreads, stale prices, and easy targets for arbitrageurs who can pick off liquidity providers.

Chainlink Data Streams use a pull-based model where price data is computed off-chain and delivered on-demand with cryptographic proof. For real-world assets, this distinction is critical. A tokenized share of Apple stock needs to trade at something close to its actual market price, not whatever the last on-chain swap implied.

The integration also enables 24/7 trading for assets that traditionally only move during market hours. Because the price feeds operate around the clock, Metric’s DEX can theoretically offer continuous markets for tokenized securities and commodities regardless of whether the NYSE or CME is open.

The RWA context

The challenge has always been infrastructure. Putting a stock on a blockchain is the easy part. Trading it efficiently, with accurate pricing and sufficient liquidity, is where most projects hit a wall. Metric is essentially arguing that the pricing layer is the bottleneck, and that plugging in high-quality external data solves the hardest piece of the puzzle.

For liquidity providers, external pricing reduces the risk of adverse selection — the technical term for getting picked off by faster traders who know the “real” price before the pool does. If the pool’s price is always anchored to a reliable external feed, the information asymmetry shrinks, and providing liquidity becomes a less dangerous proposition.

Protocols like GMX and dYdX have already proven that oracle-based pricing can support significant derivatives volume. Metric is applying a similar philosophy to spot markets for a broader range of asset types.

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