SCREENER Web App

I’m building a simple web-based SCREENER tool
I need a flexible options screener capable of rapidly filtering live option chains and exporting results for alerts or further analysis. Key requirements:
• Customizable Filters – I want to filter and sort option contracts based on custom logic (I will provide the scanning criteria) and parameters such as OI change, volume change, days to expiry, and implied volatility (IV/IVP). It should also allow for the addition of new metrics later without rewriting the entire program.
• Asset-Class Agnostic – The screener should work by default for index options (NIFTY, BANKNIFTY, FINNIFTY, SENSEX , f &O STOCKS ) and equity options but should be adaptable to other markets (provided my data provider supports them).
• Clean and Simple Interface – A lightweight web dashboard or an Excel/Google Sheets front-end would be ideal; it must be fast and allow for immediate changes to the criteria.
• ​​Reliable Data – Please integrate a primary options API for my broker (UPSTOX) and structure the code so that I can switch providers simply by editing a configuration file.
• Output – The filtered list should be visible on the dashboard, downloadable as a CSV, and capable of sending alerts via Telegram. Additionally, a brief summary (Greeks, Bid/Ask, Open Interest, IV, IVP, etc.) should be displayed on the screen.
* Front-end: a clean, responsive interface built
Back-end: connect to a well-documented market data BROKER API
Acceptance Criteria
1. The screener must have the capability to auto-load the current day's option chain in real-time, apply multiple filters simultaneously, and deliver results within microseconds without buffering. 2. Adding a new filter via configuration or script edits should not disrupt existing functionality. 3. Clear setup notes so I can run the screener again on another machine using the same API key. 4. I will conduct a 2-day live market test to ensure it works perfectly and does not generate false signals.

Please keep the code modular (Python, Node, or any other mainstream language), include comments in key sections, and provide a brief README upon completion.
Key deliverables:
• Source code (front-end and back-end) fully commented
• Deployed demo link for live testing
• Setup guide so I can host it myself (Docker or plain Node is fine)
• Short read-me outlining where to plug in my own API key

I value quick load times, straightforward navigation, and clean code architecture. Let me know your chosen stack, any past examples, and an estimated timeline to get a functioning MVP online.





Front-end: a clean, responsive interface built with React, Vue, or another modern JS framework you’re comfortable with.
Back-end: connect to a well-documented market data API such as IEX Cloud, Alpha Vantage, or Yahoo Finance; feel free to recommend the most stable option for real-time queries.

Key deliverables:
• Source code (front-end and back-end) fully commented
• Deployed demo link for live testing
• Setup guide so I can host it myself (Docker or plain Node is fine)
• Short read-me outlining where to plug in my own API key

I value quick load times, straightforward navigation, and clean code architecture. Let me know your chosen stack, any past examples, and an estimated timeline to get a functioning MVP online.