I want to build a Python-based trading algorithm that can execute index options orders on the Indian market in real time. The core requirement is seamless, low-latency integration with the AngelOne API so that the script can place, modify, and square-off positions the moment a signal is generated. My signals and position sizing logic are ready; what I need from you is production-ready code that handles the full trade-life-cycle—connect, authenticate, stream prices, fire orders, confirm fills, and gracefully handle disconnections. Although back-testing and advanced risk modules may come later, this first milestone is strictly about real-time trading execution done right.Let me be very clear that I have already got few algos developed by someone buut the only issue I have been facing is that my trading strategy is very very price sensitive (speciallly closing prices in 2 min timeframe on nifty options) and its based on closing prices of nifty options 2 min candles, so the most mandatory and NON-NEGOTIABLE PART IS THAT THE CLOSING PRICES LIVE FETCHED DATA MUST MATCH WITH BROKER CHART CLOSING PRICES AND ACCORDINGLY ENTRY SIGNAL WILL BE GENERATED. morever, even after completion of project, whenever I will get stuck up or require some modification in the code, person should be in contact with me and for such each one time service, fees will be given based on work (negotiable). Key deliverables: • Clean, well-commented Python scripts that connect to AngelOne and trade index options live • A config file or section where I can drop my own strategy parameters without touching core logic • deploying live in amazon aws. If you’ve already worked with AngelOne’s REST/WebSocket endpoints and understand the nuances of Indian index options (expiry handling, strike formatting, slippages,lot sizes, etc.), your experience will be invaluable.