Partnership Announcement: Titan Trading

Data Stands on Irys

"Give me a place to stand, and I will move the Earth."
— Archimedes, describing Irys

In ancient Greece, Archimedes believed that with the right lever and the right fulcrum, he could move anything. It was a physics problem. But the principle holds in finance, too.

In trading, the lever is data.

The question is: where does it stand?

Most trading systems—especially those driven by bots—generate extraordinary volumes of intelligence. Training datasets. Backtests. Execution logic. Market signals. But that intelligence rarely gets stored in a way that's visible, composable, or usable beyond its original context. It stays inside dashboards, buried in logs, or lost entirely.

Titan Trading Platform saw that gap.

They'd already built the most widely used auto-trading platform in Japan—$4.8 billion in volume, 24/7 strategy execution, and a user interface that made trading bots feel intuitive.

But they wanted to take the next step.

Not just faster bots. Smarter systems.

And for that, they needed a place for their data to stand.

Enter Irys.

The Shift: From Data to Value

Every trading system depends on information. That much is obvious. But what's less obvious is what happens to that information after it's used.

Some of it gets stored, briefly, on a server. Some ends up in a spreadsheet, on a machine in someone's office. Some disappears altogether. Even in high-volume, high-performance systems, the data that built the strategy often fades as soon as the strategy is deployed.

It's a kind of forgetting that's built into previous generation infrastructure.

Irys was created to solve that—not only by storing data more securely, but by changing what stored data can do and doing so at a meaningfully low cost. When data stands on top of Irys, it can be structured. It can carry rules, instructions, and context. It's written to a blockchain where smart contracts can read it, reference it, and use it to drive value in new ways.

This is the shift.

With Irys, Titan's datasets gain structure. They carry a signature, a timestamp, a clear record of where they came from and how they've changed. What was once just historical context becomes functional context that other systems can recognize, reference, and respond to.

Eventually, that same data won't just inform strategy. It will manage its own use. Who can access it, when, and under what terms. Not through a platform. Through the data itself.

Of course, not all of that happens at once. The first step of our partnership is simple: Titan is moving its full archive of datasets onto Irys. That move alone dramatically lowers costs, improves retrieval, and adds cryptographic certainty to everything that gets stored.

But it also sets something in motion.

Because once the data is there—structured, reusable, and verified—it unlocks more. It can be programmed. Licensed. Combined with other systems. And the consequence of this is a system where data starts to build on itself.

This is the kind infrastructural change that compounds and accelerates value over time.

The Bigger Picture

If the first wave of algorithmic trading was about speed, this next one is about memory. About building systems that react, yes, but also recall. Systems that improve, adapt, and prove their work.

Titan already gave traders the tools to automate.

Now, with Irys, it's giving the data that those tools generate a foundation:

a place to stand.

And from that place, trading intelligence becomes something else entirely: a source of lasting value. Irys.