Title: Development of AI-Driven Portfolio Management MVP - 11/08/2023 22:03 EDT

Description: Greetings, talented developers! We are in the process of launching an innovative finance platform that combines artificial intelligence with unique portfolio management strategies. Our goal is to create a robust MVP that showcases the core features of our solution. Key Features of the MVP: User Registration & Profile Management: Allow users to register, set up profiles, and input their financial objectives. AI-driven Portfolio Recommendations: Based on user inputs, the AI should provide portfolio suggestions, integrating our core-satellite strategy. Real-time Market Data Analysis: The platform should pull and analyze real-time market data to adjust portfolio recommendations. Option and Derivative Strategy Integration: Implement basic functionality for users to view how options and derivatives are utilized in portfolio strategies. Basic User Dashboard: Display portfolio performance, AI suggestions, and market data in an intuitive user interface. Requirements: Proven experience in developing finance-related applications or platforms. Strong expertise in AI/Machine Learning integration. Familiarity with real-time market data APIs. Excellent communication skills and the ability to provide regular updates. If you believe you have the necessary skills and experience, please provide: A brief overview of how you'd approach this project. Estimated timeline for MVP development. Portfolio or examples of related work. Your quoted price for the project. Thank you for your interest, and we look forward to collaborating with a skilled developer who shares our vision for the future of finance! Technologies: Backend: Python (Django or Flask frameworks). Python is known for its capabilities in data analytics, machine learning, and AI, which will be central to your platform. Django and Flask are both powerful web frameworks, with Django being more "batteries-included" and Flask being more lightweight. Frontend: React or Vue.js. Both are modern frontend libraries/frameworks that can provide a dynamic and responsive user experience. Database: PostgreSQL or MySQL. Both are robust relational database systems. PostgreSQL has some advanced features and is known for scalability. Cloud Hosting: AWS or Azure. Both offer a vast array of cloud services, including machine learning and AI services, which could be beneficial for your platform. AI/Machine Learning: TensorFlow or PyTorch. These are two of the most popular deep learning frameworks. You can deploy models created using these frameworks on cloud platforms like AWS. APIs for Data Retrieval: Since you mentioned tracking investments, you might want to consider integration with APIs that provide financial data. Security: Ensure encryption (like SSL), regular security audits, and compliance checks, especially if