Real-Time Financial Analysis System Development

University Assignment – Artificial Intelligence / Data Analysis with Python I have a university assignment and I am looking for someone who can help me build the project. The project requirements are: Build a distributed system using Python (Backend) and React (Frontend). The Python server should stream real-time stock or currency data to the React application using WebSockets or Server-Sent Events (SSE). The server should analyze the incoming data in real time using Pandas or NumPy and calculate technical indicators such as: SMA (Simple Moving Average) EMA (Exponential Moving Average) RSI Volatility indicators The system must include background tasks using Asyncio or Celery. The React application should include: A smart dashboard displaying: Live raw data Real-time charts Alert notifications Dynamic charts using libraries such as: Recharts [login to view URL] ApexCharts The system should generate business recommendations (BUY / SELL / HOLD) based on at least three parameters: Trend analysis using moving averages. Risk assessment based on price volatility. Portfolio optimization with a fictional budget (e.g., $10,000) to determine how much to buy. The application should also display: Recommendation (BUY / SELL / HOLD) Confidence score (%) Automatically generated explanation for the decision. Additional mandatory requirements: Detect and handle incorrect or noisy data (outliers). Implement a What-If Analysis feature that allows changing the risk level (Low/Medium/High) and recalculating recommendations in real time. This is a university project assignment, so the code should be well-structured and functional.

Project ID: 40539824