Introduce a horizontal scrolling carousel for testimonials on the landing page. Update the admin dashboard to fetch and display existing testimonials, enabling their management.
Introduces start and end date input fields to the SignalHistory component, allowing users to filter displayed signals by date range. This improves the usability and relevance of historical signal data.
Refines Firestore and Storage rules to enforce stricter access controls for signals and user-uploaded files. Updates user data handling to ensure root administrator privileges are correctly applied and enforced. Organizes uploaded scan files into user-specific directories within storage.
Introduces unit tests for Firestore security rules and adds error handling to data fetching hooks. This enhances the robustness and security of the application by validating access control logic and providing feedback on data retrieval failures.
Includes:
- Setup for Firestore unit testing.
- Basic tests for signal query and user collection access.
- Error logging for `testimonials` and `notifications` data fetching.
- Updates to `firestore.rules` for stricter access checks.
- Adds necessary development dependencies for testing.
Integrates a testimonial system to display user results and feedback. This includes:
- Adding a new `testimonials` collection in Firestore.
- Implementing frontend components for displaying and submitting testimonials.
- Modifying the Gemini service to use the `gemini-3.1-pro-preview` model for enhanced analysis.
- Updating the `PlansView` with a new WhatsApp contact number.
- Enhancing the `AdminDashboard` to include testimonial creation capabilities.
Adds a `NotificationManager` component to the application that listens for new trading signals from Firestore. When a new signal is detected, it requests notification permission from the user and displays a browser notification if permission is granted.
This change enhances user experience by providing immediate alerts for potential trading opportunities.
Also includes minor UI and styling adjustments in `AnalysisView` and `LandingPage` for improved clarity and consistency.
Refactor AI analysis to support different modes (Technical, Fundamental, Hybrid) and introduce richer data points in the `Signal` and `AnalysisResponse` interfaces. This improves the granularity and detail of the AI's market insights.
Remove the `MarketTicker` component from the main layout and simplify the `Navbar` by removing the 'Plans' tab. These changes streamline the user interface.
Introduce a market ticker component to display real-time Forex data.
Refine AI analysis prompts for Gemini to focus on speed and key institutional patterns.
Improve loading state with a visible logo animation.
Add user avatar and ID display in the Navbar.
Implement hourly refresh for signal history to ensure data freshness.
Optimize CSS with a new marquee animation and adjust font sizes.
Strengthen error handling and unsubscribe logic for Firestore listeners.
Set up the basic React project structure, including necessary dependencies, configuration files, and initial styling for the QuantScan AI Forex Pro scanner. This commit establishes the foundation for building the frontend application.
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