I need a Python-based copy-trading system focused on day trading equities and FnO instruments. My goal is to have one “master” account pushing trades in real time to multiple “slave” accounts, with latency low enough to keep fills within the same candle. Core functions I expect: • Fully automated order replication—entries, partial exits, stop-loss and target modifications. • Instant trade-signal alerts via Telegram or WebSocket so I can monitor activity even when terminals are closed. • Ongoing performance tracking that aggregates P&L by symbol and by account, exports to CSV and displays a quick dashboard in a lightweight web UI. The code should be clean, modular and well-commented so I can extend it later. I already have API keys for my broker; please wire the solution to REST as well as WebSocket endpoints for market data. SQLite is fine for local storage—use Pandas for data handling and Plotly/Dash (or a similarly lean framework) for visual summaries. Acceptance criteria: 1. Master-slave architecture proven with three dummy accounts in a sandbox. 2. Average replication delay below 300 ms on local network. 3. Dashboard shows real-time positions and end-of-day reports without manual refresh. 4. README with setup steps and environment requirements (Python ≥3.10, virtualenv, dependency list). If you have prior experience writing broker-agnostic trade copiers or latency-sensitive bots, that will help us move faster. Let me know your proposed timeline and any clarifying questions.