I want to turn live market data from Zerodha Kite’s WebSocket into fully automated option trades. The core of the job is wiring the real-time feed to my strategy logic, then pushing confirmed orders back through the Kite API without human intervention. Here’s the flow I have in mind: • Stream option prices and Greeks through the WebSocket, filter the ticks I need, and drop them into an in-memory data structure that the strategy can query in microseconds. • Run my existing “data feed intake and trading” rules on every tick; the logic is written in Python pseudocode and needs to be production-ready. • When the rules signal a trade, fire the order instantly, handle partial fills, exits, and error responses, and log everything for audit. I’ll provide API keys, strategy logic, and the VPS credentials. You’ll provide a clean, well-commented Python 3.x codebase that I can run headless on Ubuntu, plus a short README so I can redeploy it quickly. Acceptance criteria 1. WebSocket stays connected during a full market session and auto-reconnects on drops. 2. Latency from tick receipt to order placement is under 200 ms on my VPS. 3. All trades appear correctly in Kite’s orderbook and the local log within one second. If you’ve already built automated trading modules on Kite, show me a sample repo or a short demo clip and we can move fast.