Stock Market Forecasting Platform for Financial Experts and Traders to Access Prediction Signals and Algorithms
A web-based stock market forecasting platform that delivers prediction signals through a subscription model, built by adapting legacy models from desktop solutions.
Accessible from any device, breaking Windows-only limitations.
Built on modern web technologies ensuring future growth and scalability.
Flexible subscription model enabling regular access to forecasting signals.
The Idea Behind the Project
A web-based application for stock market forecasting, built by adapting legacy models from an existing desktop solution. The platform delivers prediction signals through a subscription model, providing users with a lightweight forecasting tool accessible from any device.
The MVP version enables financial experts and traders to access forecasting algorithms and receive prediction signals through a responsive web interface, ensuring mobile and desktop compatibility while maintaining the core functionality of the original desktop application.
Project Challenges
The client came to us with a legacy desktop application built on .NET and C++ that was limited to Windows users only, preventing broader market access.
Main challenges:
- Desktop product worked only on Windows, limiting user base
- No subscription model for regular access to financial signals
- Need to migrate legacy models to a modern web platform
- Requirement for mobile and desktop responsiveness
- Some algorithms initially hardcoded in JavaScript needed proper integration
Provided Solutions
Data Lake Implementation
We implemented a comprehensive Data Lake solution for seamless integration with financial data sources, enabling the platform to access and process large volumes of market data efficiently.
Legacy Code Migration
We successfully migrated and adapted legacy forecasting models from the desktop .NET/C++ application to a modern web-based architecture, preserving core algorithmic functionality while enabling broader platform access.
Subscription System
We developed a flexible subscription model that allows users to access forecasting signals and algorithms on a recurring basis, providing a sustainable revenue stream and regular user engagement.
Responsive Web Platform
We built a responsive web application optimized for both mobile and desktop devices, ensuring users can access forecasting tools from anywhere, breaking free from Windows-only limitations.
Key Features Overview
Subscription Model
Users can subscribe to receive regular prediction signals and access forecasting algorithms through a flexible subscription system.
Legacy Model Integration
Successfully adapted and migrated forecasting models from desktop .NET/C++ solutions to modern web architecture.
Data Lake Integration
Comprehensive data integration system that connects with financial data sources for accurate forecasting.
Responsive Design
Mobile and desktop responsive interface ensuring optimal user experience across all devices.