Atlas - Web Trader

Atlas started with a simple signal. Advanced investors were already using desktop, but their workflow was split across tabs, tools, and paid platforms.

They needed more than a bigger trading screen. They needed a workspace where they could read data, follow markets, compare signals, and take action faster.

This shaped Atlas as a modular platform that could support different markets, layouts, and trading needs.

Atlas needed to evolve into a desktop-native trading platform while still working with Midas’ existing product logic and services.

The product had to support dense market data, fast decision-making, multiple trading behaviors, and future markets without losing consistency or becoming difficult to scale.

The challenge was to design a system that felt powerful for advanced users, readable for everyday use, and scalable enough to grow with new asset types.

Static screens were not enough to explain a product with many modules, states, and interactions.

We cloned a separate repository for AI prototyping, where we used Claude to update, test, and iterate on interactions.

Our workflow started in Figma by defining main scenarios, then evolved through AI-assisted prototyping to refine behaviors and flows, followed by team reviews to evaluate and improve the experience together.

Users can start with ready-made views or build their own setup from scratch.

Modules like watchlists, charts, positions, order history, depth, and option chains can be added depending on the user’s workflow.

The goal was to make customization powerful, but easy to start.

Atlas was built as a flexible trading terminal where users can customize the canvas, because different trading styles require different tools, layouts, and levels of information density.

Users can add, arrange, and combine modules based on how they trade. To make this scalable, I adapted the design system into a trading-specific structure that could support dense data, different screen sizes, dark and light modes, and future markets.

The system was built around three product layers:

Linked modules help users avoid repeating the same action across the workspace.

When modules share the same link color, changing the selected asset in one module updates the related modules with the same context.

This made the workspace feel connected while keeping the layout fully flexible.

Advanced trading workflows are naturally complex. Users need to follow price movement, compare signals, read market depth, manage positions, and act quickly.

The design challenge was not to reduce the amount of information, but to make it easier to digest and act on.

Atlas needed to support advanced use cases such as option metrics, chart analysis, PnL simulation tools, and faster trading flows for daily traders. Each surface had to keep information readable while bringing actions closer to the moment of decision.

The Atlas beta turned into a real feedback loop with active users.

More than 15,000 users logged in during the beta, and average daily orders increased by 7% in the post-beta window.

We analyzed 2,673 comments. Most feedback was request-driven, with 67% including a suggestion or feature request. We resolved 43% of negative and bug-related feedback during the beta, mostly around chart behavior, indicators, drawing tools, and table interactions.

The next iteration focused on chart improvements, TP/SL order types, the news / KAP module, and new markets.