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In this video, I build a lightweight AI agent in Python that analyzes my Trading 212 and Kraken portfolios using the OpenRouter Python SDK. Instead of manually reviewing assets, performance, and risk, we use a small and efficient GPT-mini model to automate portfolio assessment with AI. This is a practical example of how OpenRouter lets you quickly experiment with multiple LLMs while keeping costs low — perfect for finance automation, AI agents, and developer workflows. 💡 What you'll learn: • How to use the OpenRouter Python SDK • How to build a simple AI agent in Python • Portfolio analysis for crypto & stocks • Using lightweight LLMs for real-world automation • Structuring AI-powered finance tools 📦 Project Repository: https://github.com/Mozes721/crossfoli... 📚 OpenRouter Python SDK: https://openrouter.ai/docs/sdks/pytho... ⚙️ Environment Variables export OPENAI_API_BASE=https://openrouter.ai/api/v1 export OPENAI_API_KEY=your-openrouter-api-key 🔑 API Key Setup • Create an account on OpenRouter • Generate an API key • Use it as your OPENAI_API_KEY 🛠️ Tools & Tech: • Python • OpenRouter • GPT-Mini model • Trading 212 • Kraken • AI Agents • Finance Automation This video is ideal if you're interested in AI agents, Python automation, or building real-world AI tools for finance. ⚠️ This is not financial advice — for educational purposes only. #AI #AIAgent #Python #OpenRouter #LLM #FinanceAutomation #AIProgramming #Crypto #Stocks #PortfolioAnalysis #PythonAutomation #AIForDevs #AIInFinance #DeveloperTools #OpenSource #FinTech