Enhance Python NIFTY Trading Automation System

Hi, We have an existing Python-based NIFTY options automation system running on AWS EC2. The system takes NIFTY spot-based signals from a TradingView-replica swing-zone strategy and executes weekly NIFTY CE/PE option trades through Dhan broker APIs. The strategy engine, live signal runner, paper/live executor, Dhan order placement, FastAPI backend, and control-center app are already built. The system has also been live-tested. We are not looking for someone to create a strategy from scratch. The main requirement is to stabilize the production execution architecture. The current blockers are: Slow exit execution after SL/TP/TSL conditions. Broker reconciliation failure where Dhan shows position exited/flat but local runtime still shows open position. Stale [login to view URL] and pending exit state. Backend/app status mismatch. Need to ensure lot size and mode come only from backend/mobile app control. Need to cleanly separate or document paper/live report paths. Need live-readiness checklist and robust logs. The code is hosted on AWS under: Plain text /home/ubuntu/nifty_automation Main services: Plain text [login to view URL] [login to view URL] [login to view URL] Main files include: Plain text [login to view URL] backtest/[login to view URL] backtest/[login to view URL] execution/[login to view URL] engine/execution/[login to view URL] engine/execution/[login to view URL] backend/ control-center/ We need a freelancer who can audit the existing system, fix broker reconciliation, reduce exit latency, stabilize backend/app status, and prepare the system for safe daily live trading. Please do not rewrite the strategy first. The first priority is execution reliability.

Project ID: 40495307