The problem
The client wanted chart screenshots to become structured analysis that people could review on a phone.
← Selected work
Fintech mobile
iTrade
iTrade turns a chart screenshot into an organised breakdown of trading signals, with visual cues and written analysis. QPOI built the iOS and Android app, including image capture, saved analysis history and subscriptions.
- Sector
- Fintech
- Platform
- iOS + Android
- Stack
- React Native (Expo)
- Duration
- 3 months
- Engagement
- MVP engineering
- Status
- Launched
The project at a glance
What QPOI delivered
QPOI connected image capture, analysis and saved history with subscriptions and store submission.
Delivery evidence
An iOS and Android MVP was delivered. Completed analyses and images are saved on-device for later review.
Capture-and-analyse pipeline, as builtView diagramHide diagram
1.0
The challenge
The client wanted traders to submit a chart screenshot and review its analysis on a phone, without entering chart data by hand. The result needed a clear structure that could be scanned on a small screen.
That meant preparing large images for upload, translating model responses into consistent interface sections, and saving each analysis for later review. QPOI also handled the subscriptions, advertising and store submission needed to release the app.
2.0
Core features
2.1
Image capture and AI analysis
Chart screenshots are resized and compressed on the phone before a vision model analyses them. This reduces the image payload sent for each request.
2.2
Analysis with a consistent structure
The model returns structured data that the app renders as signal sections and written explanations. Each result uses the same presentation, making separate analyses easier to compare.
2.3
Local-first history
Saved analyses and image history handled locally on-device, reducing backend complexity and giving users quick access to previous setups.
2.4
Visual cues and written explanations
The result screen combines visual signal cues with a written breakdown of the chart analysis. It presents the model output for the trader to review.
3.0
Mobile engineering fundamentals
3.1
Image optimisation
On-device resizing and compression reduce image memory use and the size of requests sent to the model.
3.2
Saved analysis history
Images hashed and stored locally, allowing offline review of past setups.
3.3
Compliance
Managed App Store review for AI content, user-generated-content rules, and ATT privacy.
4.0
Outcome
- Delivered an MVP for iOS and Android
- Connected screenshot capture, model analysis and structured result screens
- Integrated subscriptions, advertising and the store submission requirements
- Saved images and previous analyses on-device for offline review
Built with
- React Native (Expo)
- TypeScript
- Gemini 1.5 Flash
- RevenueCat
- AdMob
- Expo Camera
- AsyncStorage
Next project
Noto