Stock Market Scanner Web App Case Study
Explore a stock market scanning web application focused on US and Indian markets. Learn about its product architecture, dashboards and development approach.
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AI Pulse is an application in the Eishwar codebase with stock search, scanner views, account access and subscription workflows. This is a product architecture overview, not a client success story or a claim about investment returns.
Organizing a market research workflow
The scanner groups symbols into momentum, breakout and reversal watchlists. The implementation contains both US symbols and Indian exchange-qualified symbols. Authenticated users can move from a scanner or watchlist to a stock detail view. Actual data availability depends on the configured market-data service.
Architecture and implementation
The application uses Laravel controllers, Blade views, a dedicated authentication guard and service classes for stock information and behaviour analysis. Subdomain routes separate the AI Pulse interface from the main company website. Subscription and account routes provide the foundation for a gated application experience.
Development scope illustrated
This product demonstrates the connection between a web interface, authenticated account workflows, data-service integration and subscription access. No performance benchmark, trading result or production uptime claim is made in this overview.
Explore the application
Visit AI Pulse to review the product; some tools require an account. Discuss AI SaaS development or API integration for a related application scope.