Integrated Multi-Account Manager, Auto Scanner, and Economic Calendar modules. Refined UI with a institutional design language, enhanced visual consistency via global styles, and improved error handling for third-party API services. Added date filtering presets to the signal history module.
- Integrate react-joyride for user onboarding tours
- Add sonner for enhanced toast notifications
- Update AI analysis service to support preferred trading styles
- Refactor navbar layout and downgrade firebase dependencies for stability
- Downgrade Firebase SDK to v10 for stability
- Implement global auto-trades tracking in Firestore
- Add advanced trading settings to AutoTradingView
- Enhance server-side Deriv data fetching logic
- Added global Deriv token and stake settings to Admin Dashboard.
- Enhanced symbol normalization in the Yahoo Finance worker.
- Refined error logging across services and added a trade diagnostic test script.
- Add auto-trading database collections and Firestore rules
- Update Gemini service prompt for SMC/Institutional focus
- Add MetaApi integration and Yahoo Finance symbol mapping
- Implement auto-trade state management in AutoTradingView
Provide clearer instructions for users on how to keep the automated scanner running 24/7 by suggesting external scheduling services.
Refactor the server-side auto-scanner logic to use `runTransaction` for atomic updates of `lastAutoScan`, preventing potential race conditions and ensuring greater reliability.
Re-architect the auto-scanner functionality to run as a background worker on the server, utilizing Firebase for storing Telegram settings. This change improves reliability and scalability by decoupling the scanning process from the client.
Additionally, update the landing page copy to better reflect the enhanced features of the AI, such as adaptive learning and multi-timeframe analysis, and adjust gamification descriptions.
Adds OneSignal for push notifications and new AI strategy parameters like trailing stop, winrate learning, and multi-time frame analysis. Also updates build scripts and dependencies.
Updated package.json scripts to use Vite for development and building, removing esbuild dependency.
Migrated Gemini AI service logic from a backend API to direct integration using the Google GenAI library. This centralizes AI analysis within the application, improving performance and maintainability.
Switches the AI model used for analysis from `gemini-3.1-pro-preview` to `gemini-2.5-flash`. This change aims to leverage the newer, potentially more cost-effective and performant model for the QuantScan AI analysis endpoint.
This commit centralizes Gemini API interaction into a new `server.ts` file and removes it from the client-side `geminiService.ts`.
It also updates the build process in `package.json` to use `esbuild` for bundling the server code, enabling a more robust build pipeline.
The `index.html` has been cleaned up by removing unnecessary OneSignal SDK initialization.
Additionally, dev dependencies have been updated, including `esbuild` to version `0.28.0`.
A new `test2.ts` file is added for testing Gemini API connectivity.
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