Kerala Web NSE Scanner Development
Budget: $250 – $750 USD
I need a web-based intraday stock scanner for the NSE that streams real-time prices while also letting me dig into short-term historical data for quick comparisons. The interface has to recognise two roles: an admin panel where I can manage symbols, user accounts, and data-feed keys, and a standard user view that focuses purely on scanning and visualisation.
Core scope
• Real-time price tracking sourced through a licensed NSE feed or any broker API you already work with.
• Lightweight historical data analysis (up to a few weeks back) for each symbol so users can overlay recent price behaviour on today’s action.
• Clean, responsive web UI that runs in any modern browser.
• Role-based authentication: admins create or block users, adjust symbol lists and refresh intervals, while regular users simply log in, run scans, filter results and export to CSV.
Optional but nice to have
If you already have logic for basic buy/sell signal generation, flag it in your proposal—this can become phase two.
Tech stack is up to you; Python (FastAPI, Django), Node.js or similar are fine as long as the finished product is easy to maintain and deploy on a cloud host or an on-prem server. Source code, installation guide, and a brief user manual are part of the final hand-off.
Because on-site coordination will speed things up, I would prefer developers based in Kerala and available for occasional in-person or video catch-ups during business hours IST. If you have live demos or past NSE projects, include a link so I can see the latency and UI responsiveness first-hand.
Core scope
• Real-time price tracking sourced through a licensed NSE feed or any broker API you already work with.
• Lightweight historical data analysis (up to a few weeks back) for each symbol so users can overlay recent price behaviour on today’s action.
• Clean, responsive web UI that runs in any modern browser.
• Role-based authentication: admins create or block users, adjust symbol lists and refresh intervals, while regular users simply log in, run scans, filter results and export to CSV.
Optional but nice to have
If you already have logic for basic buy/sell signal generation, flag it in your proposal—this can become phase two.
Tech stack is up to you; Python (FastAPI, Django), Node.js or similar are fine as long as the finished product is easy to maintain and deploy on a cloud host or an on-prem server. Source code, installation guide, and a brief user manual are part of the final hand-off.
Because on-site coordination will speed things up, I would prefer developers based in Kerala and available for occasional in-person or video catch-ups during business hours IST. If you have live demos or past NSE projects, include a link so I can see the latency and UI responsiveness first-hand.