Nifty Data Subscription Site
Budget / Salary₹1,500–12,500
TypeFreelance project
LocationRemote
Posted1 hour ago
I need a clean, intuitive website where subscribers can log in and view my after-market Nifty data behind a paywall. All content must update from a single Excel or CSV file that I’ll upload through an admin panel—no manual field-by-field entry and no automatic API pulls for now.
Core features
• Secure user registration, payment gateway integration, and subscription management (monthly and yearly plans).
• A responsive dashboard that presents the uploaded data in tables and interactive charts (think closing prices, option metrics, max-pain lines, PCR, support/resistance—whatever columns exist in the file should display automatically).
• Admin area with a “Upload new file” button: once I select the CSV/Excel, the site replaces yesterday’s data and refreshes every chart. Validation must catch bad or missing columns before anything goes live.
• SEO-friendly structure, fast loading, and a layout simple enough for non-technical traders to navigate on mobile and desktop alike.
Acceptance criteria
1. I can upload a sample CSV, log in as a subscriber, and see the new numbers immediately.
2. Attempting to access data without an active subscription redirects to the checkout page.
3. The site scores 90+ on Google PageSpeed for both mobile and desktop.
Stack is your choice—Laravel, Django, Node, or anything comparable—as long as it is well-documented so future enhancements (like automated data pulls) are straightforward.
Core features
• Secure user registration, payment gateway integration, and subscription management (monthly and yearly plans).
• A responsive dashboard that presents the uploaded data in tables and interactive charts (think closing prices, option metrics, max-pain lines, PCR, support/resistance—whatever columns exist in the file should display automatically).
• Admin area with a “Upload new file” button: once I select the CSV/Excel, the site replaces yesterday’s data and refreshes every chart. Validation must catch bad or missing columns before anything goes live.
• SEO-friendly structure, fast loading, and a layout simple enough for non-technical traders to navigate on mobile and desktop alike.
Acceptance criteria
1. I can upload a sample CSV, log in as a subscriber, and see the new numbers immediately.
2. Attempting to access data without an active subscription redirects to the checkout page.
3. The site scores 90+ on Google PageSpeed for both mobile and desktop.
Stack is your choice—Laravel, Django, Node, or anything comparable—as long as it is well-documented so future enhancements (like automated data pulls) are straightforward.
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