Python API Algo Trading Platform

I need a Python-driven algorithmic trading platform that can communicate seamlessly with Kotak Neo and Navia broker APIs. The core of the job is wiring up reliable, low-latency API wrappers and a modular strategy engine so I can slot in my own Mean Reversion, Momentum, Arbitrage, and Range Breakout scripts without touching the framework each time.

For day-to-day use I want a lightweight UI (web or desktop—whichever is faster for you to deliver) that streams live market data, lets me trigger or override trades with simple buttons, and shows a performance analytics dashboard so I can review P&L, drawdowns, hit-rate, and latency in one glance.

Technically, I’m comfortable with common libraries such as pandas, NumPy, TA-Lib, and WebSocket/REST clients; feel free to leverage them as long as everything is cleanly structured and documented. Robust exception handling, logging, and a small test suite would be appreciated so I can maintain or extend the system in-house later.

Deliverables
• Fully commented Python source code, separated into API layer, strategy engine, and UI
• Simple installer or environment file so I can spin the stack up quickly
• Instructions for adding new strategies and mapping them to the UI
• A quick demo session proving live data feed, automated order flow, manual trade buttons, and real-time analytics

If this sounds like a project you can knock out efficiently, let’s get started.