I need a full-flow system that listens to TradingView webhook alerts, translates each alert into orders for three separate segments—F&O stocks, index options (Nifty 50, Sensex, Banknifty), and long-term stock investments—and shows everything on a custom web dashboard. Core logic will sit in Python. The strategies already exist in TradingView; their alerts will carry the payload you map into the order manager. The code should recognise the indicators I work with—Moving Averages and RSI—so parameter changes on those indicators in TradingView are reflected in position sizing and entry/exit logic on the Python side. Two trading modes are required: • Paper trading for safe strategy iteration • Seamless switch to live trading once validated On the front end I want a responsive dashboard (browser based) where I can: • watch live positions update in real time • review closed trades with P&L breakdowns • filter and export historical data per segment If broker integration is needed for live deployment, structure the code so connectors can be added or swapped without rewriting the strategy layer; I’ll finalise the broker choice during development. Key deliverables 1. Python backend that receives TradingView webhook JSON and routes orders by segment. 2. REST or Socket layer linking backend to the dashboard with sub-second updates. 3. Web dashboard that presents live trades, past trades, and complete history with basic analytics. 4. Toggle switch between paper and live trading plus clear status indicator. 5. Installation guide and brief hand-over session so I can extend indicator parameters on my own. Acceptance criteria • Alert arrives → order placed or simulated within 1 s. • Dashboard refreshes automatically; no manual reloads needed. • All three segments can run concurrently without conflict. • Code is clean, modular, and documented. That’s the scope—once these items are in place I can move straight into strategy tuning and deployment.