Download Case Study: AI-Driven Stock Prediction Platform for Smarter Trading

80%

Increase in user retention

100%

Customization for every fitness level

20%

Boost in workout completion rates

Overview

Our client, a leading AI stock prediction company, wanted to reach more people by creating a mobile app. Their website was good, but it wasn't as easy to use on a phone as a dedicated app. We were tasked with developing a mobile application that would replicate the core functionalities of their web platform while providing a tailored experience for mobile users.

Challenges

The client aimed to convert their website into a mobile application, creating a trading platform that enables users to make data-driven decisions in their financial activities.

Develop an AI-driven platform that aids users in making data-informed decisions.
A system with real-time stock price updates
Build a high-performing mobile application with a robust, scalable, and secure architecture.

Stage

Mobile Design

About

This project showcases an AI-driven stock prediction platform built to deliver timely, data-backed insights for traders. By analyzing market trends, historical performance, and real-time signals, the system provides actionable forecasts and intuitive dashboards. It empowers users to make informed decisions, reduce guesswork, and navigate market volatility with greater confidence and clarity.

Solution

Our team worked closely with the client, from UI/UX design to application development, and our team proposed the following solution to the client.

A cross-platform application using React Native, that enabled us to develop an app for both Android and iOS in record time.
Efficient caching strategies and asynchronous data fetching to handle real-time market data without compromising application speed.
Development of An advanced AI algorithm to run within the mobile environment
Leverage techniques such as model pruning and quantization to reduce the computational load for real-time data processing.

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