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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