Lovable Prompt Creator - AI Prompt Generator

## APPLICATION OVERVIEW
This project is a web application designed to provide intelligent market analysis through image recognition of binary market data. Users will interact with the app to receive actionable insights based on their selections of time intervals for trading, with a focus on a minimalist and modern design.

## CORE FEATURES
1. **User Authentication**: Login screen allowing users to input their credentials, with functionality for account management.
2. **Market Analysis**: The app will read and analyze market data through screenshots, providing users with accurate trading recommendations.
3. **Time Interval Selection**: Buttons for users to choose trading intervals of 30 seconds, 1 minute, 5 minutes, 10 minutes, and 30 minutes.
4. **Action Selection and Research**: Users can search for and select various actions they wish to follow, displaying relevant data on a dedicated screen.
5. **Data Storage**: A database to save daily trading history, allowing users to view past performance through charts and separate windows.
6. **User Dashboard**: A clean interface displaying market analysis results and user-selected actions.

## DESIGN SPECIFICATIONS
- **Visual Style**: minimalist - Clean, simple design with plenty of white space, minimal color palette, and focus on typography.
- **Color Mode**: Light theme with dark text on light backgrounds.
- **Primary Color**: #1978E5 (accent for buttons, links, highlights).
- **Typography**: Use Inter from Google Fonts for headings, Inter for body text and UI elements.
- **Border Radius**: 8px (moderately rounded) for buttons, cards, and inputs.
- **Layout**: The main layout should feature a header for navigation, a central area for market analysis and trading buttons, and a sidebar for user-selected actions and history.

## TECHNICAL REQUIREMENTS
- **Framework**: React with TypeScript.
- **Styling**: Tailwind CSS.
- **UI Components**: shadcn/ui.
- **State Management**: Redux or Context API for managing user data and market analysis results.

## IMPLEMENTATION STEPS
1. **Set Up Project**: Initialize a new React project with TypeScript. Install Tailwind CSS and configure it.
2. **Create Authentication Module**: Develop the login component to handle user input and authentication.
3. **Integrate Image Recognition**: Implement functionality to read and analyze market data from user-uploaded images.
4. **Develop Time Interval Selection**: Create buttons for the user to select various trading intervals.
5. **Build Action Selection Interface**: Design a user-friendly interface for searching and selecting different actions to follow.
6. **Set Up Database**: Implement a database solution to store user trading history, using an appropriate backend service.
7. **Design User Dashboard**: Create the dashboard layout to display market analysis and user data efficiently.

## USER EXPERIENCE
Users will first interact with the login screen to access their accounts. Upon logging in, they will be greeted with a dashboard featuring options to upload images for market analysis and select trading intervals. The app will provide concise insights based on their input, along with a history of past trades that can be viewed in separate windows. The overall user experience will prioritize simplicity and fast access to key features, ensuring that the application is both effective and enjoyable to use.