We're opening up Hyperprop Deep Liquidity to the entire industry. For free.

We're opening up Hyperprop Deep Liquidity to the entire industry. For free.

It's time for the perpetual prop trading industry to work toward a common standard for market data and simulated trade execution.

That's why we're announcing that Hyperprop Deep Liquidity, our consolidated order book for simulated perpetual futures trading, will be available for other prop firms, trading platforms and developers to use, completely free of charge.

By combining liquidity from multiple centralized and on-chain exchanges, we're building a shared market reference that makes simulated trading more consistent, realistic and verifiable.

We want other platforms to benefit from the same technology, because we believe a more transparent trading environment is better for everyone.

Why does the industry need a shared standard?

When you place an order on a perpetual futures prop trading account, your trade is typically simulated.

That means the platform needs to calculate the price at which your order would have been filled.

The problem is that different platforms can use completely different fill models. Some use the last traded price. Others use the best available quote or apply a fixed limit to slippage.

These approaches often ignore something important: how much liquidity is actually available at each price.

In real markets, a large order doesn't necessarily fill at one price. It may need to consume liquidity across several price levels.

When simulators ignore that, trading results can become unrealistic. And when every platform uses its own model, traders have no common reference against which to compare their fills.

But the problem goes beyond individual trades.

Think about all the tools traders use today.

AI agents connected to trading accounts. Automated strategies and bots. Trading journals, analytics platforms and trade copiers.

All these tools depend on the market data and execution results provided by the platforms they're connected to.

When those platforms use different market references and fill models, problems start to appear.

A strategy tested on one platform may behave differently on another. A trading journal may struggle to reconcile results across accounts supposedly trading the same market. A copied trade may receive a different fill from the original.

The result? Inconsistent data, unreliable comparisons and trading results that are difficult to verify.

As trading becomes increasingly automated and connected across platforms, having a common market reference becomes even more important.

We think the industry can do better.

What we're building with Hyperprop Deep Liquidity

Hyperprop Deep Liquidity combines market depth from multiple centralized and on-chain exchanges into one consolidated order book.

Instead of relying on a single price, it uses the available depth across those markets to calculate more realistic simulated fills.

It also accounts for differences between exchanges, checks the quality of incoming data and updates the consolidated order book every 100 milliseconds.

The result is a shared market reference designed around realistic execution, consistency and transparency.

And importantly, the methodology behind Hyperprop Deep Liquidity is public, so the rules used to construct the market and calculate fills can be examined.

We've published the technical details in our Hyperprop Deep Liquidity whitepaper, including how market data is consolidated, how simulated fills are calculated and how we plan to keep the system transparent and verifiable.

Why make it free for other companies?

Because we don't believe every prop firm needs to reinvent the same technology.

If every platform develops its own market feed and execution model, we end up with a fragmented industry where traders can experience different simulated market conditions depending on where they trade.

Imagine instead if multiple prop firms could build their trading environments around the same reliable market reference.

Traders would have a clearer basis for understanding and comparing execution. Firms could spend less time building market data infrastructure and more time improving their products.

And the industry could work toward a common standard rather than a collection of disconnected systems.

We would rather help create a better standard for everyone than keep this technology exclusively for ourselves.

How other platforms will be able to use Hyperprop Deep Liquidity

We're planning to provide free API access to Hyperprop Deep Liquidity market data, allowing prop firms, trading platforms and developers to integrate the feed into their own systems.

They'll be able to build their own trading experiences around the consolidated market data, without having to develop the entire underlying feed themselves.

Access to the market data feed will be completely free.

Using the same market data doesn't automatically mean every platform will produce identical fills. Execution rules matter too. But sharing a transparent reference is an important first step toward greater consistency.

Hyperprop Deep Liquidity will launch on Hyperprop first, with broader access planned as the infrastructure becomes available.

Let's build a better standard together

Hyperprop is building a trading platform, but we don't believe the future of prop trading should depend on everyone building their own version of the same market.

We want to encourage collaboration, transparency and more realistic simulated trading conditions across the industry.

Our methodology is public. Our ambition is to make the market feed freely available to other companies. And we're inviting the industry to help move this forward.

One shared market reference. A more transparent industry. A better trading experience for everyone.

Let's build it together.

Learn more about Hyperprop Deep Liquidity

Want to understand how Hyperprop Deep Liquidity works?

Explore our official documentation for an overview of the technology and trading experience.

For a deeper technical explanation, read the Hyperprop Deep Liquidity whitepaper, covering order-book consolidation, simulated execution, market data and transparency.