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Mandala offers a dynamic exchange platform for cryptocurrency trading. The platform rose to prominence with its over-the-top security levels.
Mission
Mandala arose to connect the universe through the Blockchain. The platform aims to offer the market the most trusted digital asset exchange.
Impact
The platform built a dynamic environment whereby Mandala Token (MDX) provides specialized capabilities. Some include referral rewards, trading rebates and fee rebates.
About
Mandala is a Chicago-based acquired fintech company. The platform was born when users noted that many trading platforms were somehow unintuitive.
The suite offers a dedicated space and allows access to the most extensive liquidity pool worldwide.
In this context, Mandala focuses on providing a versatile, user-friendly and easy-to-use suite.
On the other hand, Mandala has a long-term goal of pushing the digital economy.
This goal encompasses evolving into a household name while being involved with regulated entities.
Mandala's goal was to design an exchange platform that combined accessible design with the power of traditional e-trading.
Deliver the functional, intuitive and scalable digital solutions that only leading companies can offer.
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Technology
At a tech level, we combined React and Modulus.io for the front and back ends.
We also used React Material-UI for design components and Sketch’s digital UI toolkit.
Mandala has prioritized preventing data breaches and loss of funds through hacking. To ensure security, we applied two-factor user authentication.
We knew that exchange platforms had large amounts of data that needed to be continuously updated.
This aspect became important when looking at the high price volatility in the cryptocurrency trading market.
Traders need to have the most up-to-date pricing information available.
Due to this requirement, we worked with WebSocket’s communications protocol. This tool allows a direct data flow from the server to the browser.
Strategy
The platform’s front end had already been started with custom React libraries when we started working on it.
We made sure that its design matched the backend functionalities.
We used Material UI to create a modern and intuitive design line for users.
Also, we incorporated an ML-based chatbot as an assistant widget.
As a result, we designed an attractive dashboard that also displayed large amounts of data.
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