Launching today
Raytrade Studio
Market Making in Three Clicks. Smart. Actually affordable.
24 followers
Market Making in Three Clicks. Smart. Actually affordable.
24 followers
Raytrade Studio is a platform to run production-ready market-making strategies: deployment, risk controls, monitoring, and exchange connectivity, all in one place. Run bots, monitor performance, and manage risk from one dashboard. Built for crypto projects and trading desks who want professional market making without maintaining infrastructure or paying enterprise fees. Currently supports Coinbase, Binance, Kraken, Kucoin and MEXC.
Happy to be a part of this launch 🚀
The "BotOps" framing from Helder is spot on. What really pushed us to ship this was realizing how much time and money teams were wasting on infrastructure that has nothing to do with their actual strategy edge.
Market making is hard enough. Having to also maintain exchange connectors, monitor positions, and deal with ops fires at 2am is a different job entirely. Raytrade Studio is our answer to that.
If you're running a crypto project or trading desk and spending more time managing infrastructure than improving your strategies, give it a shot. We support Coinbase, Binance, Kraken, Kucoin, and MEXC today, with more exchanges on the way.
Happy to answer any questions about how we use it ourselves at LayerX.
CreateOS
Well done team, best of luck with the launch!
@eric_nodeops Thank you Eric!
RayTradeStudio started as an internal tool to solve our own pain points managing liquidity bots. Observability, analytics, and control were scattered or nonexistent. But once we saw it working, something clicked:
"This isn't just an internal fix, it's a product. A full management stack for bot observability, analytics, control, and operational excellence" 📊🔧
We're entering an era where agents are becoming human proxies, automating everything from trading to workflows ⚡ And as bot adoption scales, so does the complexity of managing them.
That's why I believe a new software category is emerging, one I'd call BotOps .
Platforms purpose-built for the operational lifecycle of autonomous agents. Deployment, monitoring, performance analytics, incident response, version control, the same rigor we brought to DevOps, now applied to bots 🔄
Think of it this way: BotOps is to autonomous agents what DevOps is to software delivery 🎯
RayTradeStudio is our take on BotOps for trading 📈 But the pattern is universal. Wherever bots operate at scale, BotOps platforms will follow 🌍
The era of BotOps is here. Time to build the infrastructure that keeps the bots running right ⚙️🔥