A quick live update on the FxRobotEasy project.
Right now, we’re moving forward on two major fronts at the same time.
The first is the new installer. Over the past few days, I’ve been deeply focused on the updated desktop version to make installing, updating, and launching our robots much simpler and more intuitive. The idea is very straightforward: fewer manual steps, less confusion, faster setup, and easier management of all products in one place.
The second is preparing for the full rollout of the strategy and the next stage of the entire ecosystem. I’m gradually getting closer to enabling cloud optimization and taking the way settings are handled to a completely different level.
What does that mean in practice?
If everything goes according to plan, the bots will be regularly run through the strategy tester for each trading instrument, and then receive the most up-to-date .set files automatically. In other words, users won’t have to constantly search for, download, tweak, and replace settings manually — the system will be able to handle that on its own.
This matters because one of the biggest challenges in algo trading is not launching the robot itself, but maintaining it afterward. When there are too many settings, when market conditions change, and when it’s unclear which setup is currently the best, the whole process becomes either too complicated or too chaotic. I want to simplify that.
To make this possible, a serious server infrastructure is already being prepared. Several powerful servers are now in operation, and this infrastructure will support the next stage: automatic optimization, regular parameter updates, and more adaptive bot logic.
But it’s important to say this honestly: this is not a magic button, and it’s not a holy grail. Even good optimization does not eliminate the fact that brokers can differ in quotes, execution, latency, and trading conditions. That’s why our approach remains the same: test first, look at the data, compare results, and only then make decisions.
That’s exactly why I’m currently putting so much attention not only into the robots themselves, but also into the infrastructure around them: installation, updates, servers, automation, ease of launch, and making the entire workflow smoother with less manual routine.
I’m sharing these screenshots for a reason — they show what the project development looks like from the inside. You can see the new desktop environment, the server side, and the groundwork being prepared for a smarter and more convenient bot management system.
If you’re interested in this kind of format, I can share more behind-the-scenes updates more often: what’s already done, what’s currently in development, which ideas are being tested, and where exactly we’re heading next.
