A comprehensive iOS financial app that provides real-time stock market data, financial statements, ratios, and investment analysis tools.

• Stock Quotes: Real-time stock prices and market data
• Financial Statements: Income statements, balance sheets, and cash flow statements
• Financial Ratios: Comprehensive ratio analysis and calculations
• Enterprise Values: Company valuation metrics
• Key Metrics: Essential financial performance indicators
• Company Ratings: Investment recommendations and ratings
• Stock Charts: Interactive price charts with multiple timeframes

• US Stocks: Complete coverage of US stock market
• Major Indexes: S&P 500, Dow Jones, NASDAQ tracking
• Cryptocurrencies: Real-time crypto prices and news
• ETFs & Funds: Exchange-traded funds and mutual funds
• Futures: Commodity and financial futures
• Forex: Foreign exchange rates and analysis

• Financial News: Latest market news and company updates
• Economic Calendar: Earnings announcements and economic events
• Company News: Stock-specific news and developments
• Market Analysis: Expert insights and market commentary

• Earnings Calendar: Upcoming earnings releases
• Economic Events: Important economic indicators and events
• Market Holidays: Trading calendar and market closures

• Watchlist: Custom stock portfolios
• Financial Definitions: Educational content for financial terms
• Multi-language Support: English, Chinese (Simplified/Traditional), Japanese
• Offline Caching: Data persistence for offline access
• Dark Mode Support: Modern UI with dark theme

• Swift: Primary programming language
• UIKit: iOS user interface framework
• Core Data: Local data persistence
• Alamofire: Network requests and API integration

• SnapKit: Auto Layout DSL
• Kingfisher: Image loading and caching
• Charts: Interactive charting library
• SwiftyJSON: JSON parsing
• Localize-Swift: Internationalization
• JTAppleCalendar: Calendar functionality
• MJRefresh: Pull-to-refresh functionality

• Financial Modeling Prep API: Real-time financial data provider
• Google Mobile Ads: Advertisement integration
• Firebase: Analytics and crash reporting

• iOS 11.0+
• Xcode 12.0+
• Swift 5.0+
• CocoaPods

1. Clone the repository

   git clone https://github.com/banghuazhao/finance-go.git
   cd finance-go

2. Install dependencies

   cd finance-go
   pod install

3. Open the workspace

   open finance-go.xcworkspace

4. Configure API Keys

   • Add your Financial Modeling Prep API key in Constants.swift
   • Configure Firebase settings if needed

5. Build and run

   • Select your target device or simulator
   • Press Cmd + R to build and run

finance-go/
├── finance-go/
│   ├── Home/                 # Main dashboard and stock views
│   ├── News/                 # News and articles
│   ├── Calendars/            # Economic calendar
│   ├── More/                 # Settings and additional features
│   ├── Tool/                 # Utilities and extensions
│   ├── Resource/             # Static data files
│   └── Assets.xcassets/      # App icons and images
├── Podfile                   # CocoaPods dependencies
└── README.md                 # This file

The app supports multiple languages:

• English (en)
• Chinese Simplified (zh-Hans)
• Chinese Traditional (zh-Hant)
• Japanese (ja)

Localization files are located in the respective .lproj folders.

• Financial Modeling Prep API: Real-time financial data and statements
• Market APIs: Stock quotes, crypto prices, forex rates
• News APIs: Financial news and market updates

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

This project is licensed under the MIT License - see the LICENSE file for details.

Banghua Zhao

• GitHub: @banghuazhao

• Financial Modeling Prep for providing comprehensive financial data APIs
• The open-source community for the excellent libraries used in this project
• All contributors and users who have provided feedback and suggestions

⭐ If you find this project helpful, please give it a star on GitHub!