I need a developer who can tap into Zerodha’s Kite Connect WebSocket stream, pull live tick data, and run meaningful analyses on price movements and overall market trends in real time. My goal is to see actionable insights the moment they unfold—whether that is volatility spikes, sudden sentiment shifts, or momentum changes—so speed and accuracy are critical. Here is what I expect: • A clean, well-structured Python script (Pandas, NumPy, websocket-client, or similar) that authenticates with my Kite Connect keys, subscribes to chosen instruments, and processes ticks on the fly. • Real-time calculations such as percentage change, moving averages, and any other quick indicators you feel add value to spotting trends as they happen. • A lightweight console or simple web dashboard (Flask, Streamlit, etc.) to display the live metrics and optionally push alerts when predefined thresholds are crossed. • Clear, commented code plus a short README so I can extend the logic or change instruments without hassle. If you have previous experience with Zerodha’s API and streaming market data, that will help us move fast. Once the core analytics loop is solid, I’m happy to discuss further enhancements, but for this engagement I’m focused purely on real-time price and trend analysis.