I need a full-cycle implementation of an indicator-based trading algorithm for the Groww platform. The strategy’s signals revolve around the On-Balance Volume (OBV) indicator, and everything must run in Python and live on Groww Cloud so it can execute hands-free once deployed. Here is what the job covers: • Strategy logic – Code the OBV signal generation exactly as I describe and structure it so additional indicators can be slotted in later without rewriting the core. – Keep the code clean, commented, and back-testable (pandas, NumPy, ta-lib or any equivalent libraries are fine). • Groww integration – Handle authentication, streaming data, order placement, position tracking, and risk limits through Groww’s official API endpoints. – Build in logging and error handling so failures are clearly reported. • Cloud deployment – Containerise or otherwise package the script, configure environment variables and secrets, then spin it up on Groww Cloud. – Set up scheduling or event triggers and make sure the process auto-restarts if it stops. • Handover – Provide concise setup documentation and walk me through a short test on my sandbox account to prove it connects, logs in, and places mock orders when the OBV signal fires. Acceptance is straightforward: the code must run on Groww Cloud without manual intervention, place the correct trades from the OBV rules, and show clear logs. If that sounds like your wheelhouse, let’s get started right away.