iTrade: AI-Powered Technical Analysis
How QPOI built a computer vision app that instantly analyzes financial charts for crypto, forex, and stock traders.
Duration
3 Months
Platforms
Mobile (iOS & Android)
Tech Stack
React Native (Expo), Gemini Flash
Engagement
MVP Engineering
The Challenge
Conducting deep technical analysis on mobile is notoriously difficult. Traders often spot setups on monitors but lack an easy way to capture and analyze them on the go.
The client needed a "Snap & Analyze" solution that could:
- See Charts: Identify trends and key levels using computer vision.
- Instant Analysis: Provide professional-grade breakdowns in seconds.
- Zero Friction: No manual data entry or complex configuration.
QPOI's Role: Full Mobile Architecture
- Computer Vision Pipeline
- Local-First Storage Engine
- Hybrid Monetization (Ads + Subs)
- Store Compliance & Publishing
Bridging Desktop Power & Mobile Convenience
We architected the entire application from the ground up, focusing on performance, privacy, and speed.
AI Computer Vision Pipeline
A robust image capture flow using Expo Camera that compresses and optimizes high-res chart images on-device before analysis, ensuring speed even on mobile data.
Structured AI Responses
Integrated Gemini 1.5 Flash with a prompt engineering layer that forces structured JSON output (support levels, sentiment score) for clean, interactive UI rendering.
Local-First Storage
A privacy-focused history system using AsyncStorage and FileSystem. User data stays on the device, keeping running costs near zero and ensuring privacy.
Dynamic Sentiment UI
The interface automatically adapts color schemes and iconography based on the AI's analysis (Green/Red), giving users immediate visual feedback on market sentiment.
Mobile Engineering Fundamentals
Image Optimization
Aggressive resizing/compression to minimize memory usage and API payload size.
Smart Caching
Images are hashed and stored locally, allowing offline review of past setups.
Compliance
Managed App Store review for AI content, "User Generated Content" rules, and ATT privacy.
Technology Stack
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