The Challenge Indian brokers whitelist by IP. A multi-user trading platform therefore cannot just call broker APIs from one server — every user needs their own trusted network identity. What We Built Web platform for options strategy execution across multiple brokers Per-user Elastic IP proxy architecture so each account meets

The Challenge Course enquiries arrive by phone, in Hindi and Punjabi, often outside office hours. Missed calls are lost students — but staffing every call is expensive. What We Built Voice agent architecture for inbound and outbound enquiry calls Native Hindi, Punjabi and English handling — not English-only with an

The Challenge Strategy research dies when every backtest takes hours. Testing a parameter sweep in MT5’s built-in tester meant waiting overnight to learn one thing. What We Built A vectorized backtesting framework in Python using array operations instead of bar-by-bar loops Parameter sweeps and optimisation runs across large historical datasets

The Challenge Grid trading is easy to code badly. Naive grids blow up on trends, weekend gaps and margin spikes. The strategy needed real risk engineering, not just entry logic. What We Built MT5 Expert Advisors with dynamic and percentage-based grid spacing Grouped hedging and progressive lot sizing Trailing stops

The Challenge The institute’s site was on Wix: slow, limited SEO control, and hard to extend with custom lead capture. Growth needed a platform the team actually owned. What We Built Complete rebuild on Next.js 14 with a structured data layer Lead capture API wired into the enquiry workflow Full

The Challenge Running automated strategies reliably means more than good signals. Bots must survive restarts, network drops and broker API limits — and keep executing while markets move. Indian brokers also whitelist by IP, so cloud hosting cannot be improvised. What We Built A platform for deploying and monitoring live