A sophisticated Next.js application designed to visualize global Foreign Aid flows and derive actionable investment insights from geopolitical financial patterns.
- Sankey Flow Visualization: Interactive mapping of aid from Donor nations to Recipient nations using high-fidelity OECD/World Bank data.
- Investment Catalyst: An AI-driven engine that analyzes aid patterns (e.g., shifts in semiconductor investment or regional infrastructure support) to identify market opportunities.
- Live Market Integration: Combines aid data with real-world market tickers (ETFs like GDX, EZA, ICVT, LIT, TAN) to provide context on how geopolitical spending correlates with market trends.
- Deep Metrics: Granular transaction analysis, including total volume, year-over-year trends, and sector-specific breakdowns.
- Modern UI/UX: Built with a sleek, dark-themed aesthetic using Shadcn UI and Nivo charts for professional-grade data visualization.
- Framework: Next.js 14+ (App Router)
- Styling: Tailwind CSS
- Components: Shadcn UI / Lucide React
- Data Visualization: @nivo/sankey / @nivo/line
- Logic: Custom investment analysis algorithms for trend detection.
The application integrates real proxy data based on OECD CRS (Creditor Reporting System) and World Bank 2022-2024 statistics. It specifically tracks:
- Infrastructure & Energy: Correlation between utility aid and energy sector ETFs (e.g., TAN, LIT).
- Emerging Markets: Aid-driven catalysts for regional funds (e.g., EZA).
- Market Resilience: Real-time price tracking for related financial instruments via the integrated market data API.
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Clone & Install:
git clone https://github.com/maxfritzhand/foreignaidquerying.git cd foreignaidquerying pnpm install -
Run Development Server:
pnpm dev
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Open http://localhost:3000 to explore the platform.
fetch_real_data.py: Fetches and processes high-fidelity aid data from OECD/World Bank sources.fetch_market_data.py: Updates local market pricing for the Investment Catalyst engine.generate_mock_data.py: Utility for generating development datasets.