AI Auto-Trading App Development

I am building a fully automated trading application that delivers live buy-sell signals and can execute those signals on a user’s behalf. The core requirement is an AI engine that analyses market data and applies a trend-following strategy, then places orders automatically through the Pocket Option exchange.

The app must be available on iOS, Android and a responsive web dashboard, with a consistent UI across all three. Users need to switch easily between multiple time frames and trade pairs—Ethereum OTC is the priority, but the architecture should allow me to add further pairs later without major refactoring.

Real-time streaming prices, secure API authentication, user account management, push notifications for every executed trade, and detailed trade logs are all essential. I also want an admin panel where I can adjust strategy parameters, set risk limits and monitor system health in real time.

Deliverables
• Cross-platform mobile apps (Swift/SwiftUI or React Native for iOS, Kotlin or React Native for Android) plus a web dashboard (React or Vue preferred)
• AI trend-following module, trained and back-tested, exposed through a clean service layer
• Pocket Option API integration for order routing, balance checks and trade history
• Live charting component with selectable time frames
• Admin console with strategy and risk controls
• Full source code in a private Git repository, install guides and a short video walk-through of key features

Acceptance will be based on:
1. Seamless sign-up/login and exchange connection
2. Accurate, latency-free signal generation and matching order execution
3. Successful end-to-end test trades on an Ethereum OTC pair in both sandbox and live environments
4. Code quality, documentation and the ability to deploy the web dashboard to my cloud account in one command

If you have experience with AI trading logic, mobile/web app stacks and exchange integrations, I’d like to see a brief outline of your proposed tech stack and timeline.