Real-Time Nifty Options Feed

@Ussama91

I'll create a reliable script that pulls price, volume, open interest, and strike price for all live Nifty option contracts from the NSE website, refreshing every five minutes, and deliver the data in JSON or CSV format. I'll use official NSE endpoints, handle session tokens and anti-scraping measures, and provide a configuration file for tweaking refresh intervals and output paths. I'll deliver well-commented source code, a brief README, sample output, and proof of successful looping over a full market hour. My experience with market-data collectors, especially for NSE, will be an added advantage. Waiting for your response in chat! Best Regards.

@bhartimalu

Hello, I can develop a reliable script for real-time Nifty options data. - Experience: I've worked on similar projects, ensuring accurate data retrieval. - Plan: 1. Gather requirements 2. Develop the script 3. Test for reliability 4. Deploy and monitor - Tech Stack: Python, APIs, and WebSockets. - Timeline: 2 weeks with regular updates. Choose me for my commitment to quality and timely delivery. What specific data sources do you prefer? Any particular platform for deployment? Regards, Bharti M.

@fatimamahsud1

Hi Hello, I have experience building market-data collectors and exchange scrapers, including handling session tokens, rotating headers, cookies, and NSE-specific request flows to avoid interruptions during trading hours. I can deliver a compact, production-ready Python script that pulls price, volume, open interest, and strike price for all live Nifty option contracts directly from official NSE endpoints wherever possible. The solution will include: Automatic refresh every 5 minutes (configurable via a simple config file) Clean JSON or CSV output (your choice) Robust session handling and retry logic to manage NSE anti-scraping behavior Structured logging to confirm each successful cycle Proof of continuous operation over at least one full trading hour You’ll receive fully commented code, a clear README (Windows & Linux setup), a sample live output file, and validation logs showing uninterrupted looping. Ready to get this running reliably throughout market hours.

@GobindSawarn

As a seasoned developer with a knack for turning business ideas into efficient and robust software solutions, I believe I'm an excellent fit for your project. My extensive experience in building financial marketplace applications, especially those related to the NSE, will guarantee a sophisticated approach to the task at hand. Leveraging my proficiency in Python and web scraping techniques, I'll craft a streamlined, well-documented code that will pull data from the official NSE endpoints consistently throughout the trading day. My work will handle all session tokens, cookies, and possible anti-scraping obstacles to ensure an uninterrupted flow of data. I am flexible enough to implement the data feed in either JSON or CSV format as per your convenience. Furthermore, my expertise in developing maintainable solutions will be instrumental in crafting an easy-to-use configuration file that lets you modify variables like refresh interval and output path with minimal effort. You can trust me to deliver not just a working script, but an intuitively designed system that offers longevity. Choose me for this project, and let's construct a dependable platform that matches your vision while providing tangible value for years to come.

@prabhathk5

Thanks for sharing the details. I’ve reviewed your requirement and would be glad to discuss it further. I’m Prabhath, an experienced MQL4/MQL5, Pine Script, Python, and C++ developer specializing in automated trading systems and institutional-grade algorithmic solutions. I develop Expert Advisors, indicators, dashboards, data tools, and custom trading utilities for MT4/MT5, TradingView, and standalone platforms. Along with MQL5 systems, I also build fully automated trading software in Python and C++ for Indian stock markets and global exchanges (US, EU, and others). These solutions can be tailored for stocks, indices, futures, forex, and crypto based on project needs. As an active trader, I work with ICT, SMT, market structure, liquidity models, order blocks, FVGs, VWAP, and volume-based logic, ensuring each strategy follows the client’s trading methodology. My expertise includes institutional-grade EA and indicator development, ICT/SMT-based trading systems, Pine Script automation, Python and C++ systems for Indian and global markets, backtesting, paper trading and live trade integration, strategy optimization, and low-latency execution. I also fix, optimize, and enhance existing trading systems to make them stable and production-ready. Where permitted, I can share demos or walkthroughs of previously completed projects while respecting client confidentiality. Thank you for your time and consideration.

@Sahyadri96

Completed projects till now 1) Python + DhanAPI +Excel + VBA option scalping strategy 2) Python 21 EMA and 9 EMA crossover strategy on DhanAPI 3) Google sheet + FyersAPI trading 4) Google sheet + Algomojo + Upstox 5) Tradetron Banknifty option scalping strategy 6) Excel 2600 NSE 10 years data 7) Copytrading using python 8) Tradetron Supertrend + MACD Crossover Strategy 9) Dhan option chain with Greeks in Google spreadsheet via Google Appscript 10) Backtesting of Nifty options for wait and trade strategy 11) Trigger orders for Dhan Nifty options 12) Shoonya API:- Wait and trade strategy 13) Tradetron: RSI + ADX + EMA strategy 14) Python Moving avarage channel trading Algo 15) Kotak Neo: Turtle scalping strategy for options 16) Fyers Filtered option chain in Excel I can deliver any project in Trading. Readymade setups for Python available

@Hemantt841

With over 15 years of experience in software development and digital solutions, I have successfully delivered 200+ projects for startups, mid-size companies, and enterprise-level clients across various industries. My expertise spans full-stack development, API integration, and data processing, making me well-suited for your needs. For this project, I will leverage my skills in Python to create a compact script that efficiently pulls the required data points from the NSE website. I will ensure that the solution handles session tokens and anti-scraping measures, providing a reliable feed that refreshes every five minutes. The output will be structured in either JSON or CSV format, based on your preference, and I will include a configuration file for easy adjustments to the refresh interval and output path.

@rajk271

Hello, I am currently working on a similar project which fetches in all 4 types of data - Stocks/Indices, Futures, OptionChain (snapshot of the day), and FII-DII, both current and as achieved as upto 1st Jan 2020. So, to make this app I would take around 4 days as currently I have the standalone python streamlit app for this, and coversion to some standalone app in Nodejs, Javascript will take 4 days. Lemme know when to start. Always happy to help

@aayushr45

As an experienced web and app developer with a knack for building high-performance applications, I am confident that I am the best fit for your Nifty Options Feed project. My core skill in Python aligns perfectly with your preference, but I'm open to other technologies as well if that would better suit your requirements. Having previously developed market-data collectors and worked extensively with data extraction from various sources including APIs, web scraping, and handling session tokens, I am well-equipped to handle challenges like anti-scraping quirks and ensure uninterrupted flow of the feed throughout the trading day. I understand that reliability is crucial in this domain - one missed update can cost significant financial losses. Rest assured, once I provide you the solution, it will be thoroughly tested to prove its efficiency over an extended period. My commitment to clean code, optimized performance, and secure architecture emphasizes that I value not just immediate deliveries but long-term usage and agility of my projects. Contact me now so we can discuss your needs further and how my skills can bring value to your business!

@rahulb617

hi , i have recently done a similar project were all the data of nse of symbols from fyers were getting fetched during live data according to the threshold u selected and the data is getting stored automatically in JSON format i can show u the project thanku

@miqueiasstudio

Hello, I fully understand your needs and can deliver a compact, reliable Python script that pulls live Nifty options data (price, volume, open interest, and strike price) directly from NSE endpoints and refreshes automatically every five minutes with consistent JSON or CSV output. Based on my past experience, the most importance is maintaining session stability and handling NSE’s dynamic headers, cookies, and token validation. Market data scripts often fail due to session expiration or request throttling rather than logic errors, so resilience and clean retry handling are critical. I will proceed with the project in the following manner: ✔ Analyze NSE’s official endpoints, implement proper session initialization (headers, cookies, token handling), and structure efficient data extraction for all live Nifty option contracts ✔ Build an auto-refresh loop with configurable interval, structured logging, and exception handling to ensure uninterrupted operation during market hours ✔ Provide a configuration file for refresh timing and output path, generate sample output (JSON or CSV), and demonstrate successful execution over a continuous one-hour market session Before the starting, could you confirm: * Preferred output format (JSON or CSV) * Whether this will run on a local machine or VPS/server * Your Python version preference (if any) * Whether you need historical archiving or snapshot-only output Looking forward to discussing more in detail on chat! ✅ Best Regards

@sinchana0123

Hello, I have experience building reliable market-data collectors and handling session-based endpoints, including anti-scraping protections. I can develop a compact Python script that pulls live Nifty option-chain data (price, volume, open interest, strike) directly from NSE’s official endpoints using proper session initialization, headers, and cookie handling to ensure uninterrupted operation. The script will refresh automatically every five minutes, include configurable settings (refresh interval and output path), and export consistent JSON or CSV snapshots. I’ll also implement logging, retry logic, and validation to ensure stability over extended market hours. You’ll receive well-documented code, a clear README for Windows/Linux setup, a live sample output file, and proof of continuous execution for at least one full trading hour. Looking forward to discussing the details.

@myupwork989

Senior Full Stack Developer | 12+ Years Experience Hi there, I have carefully reviewed your project requirements. With over 12 years of experience developing high-performance, functional web applications, I am confident in my ability to deliver a robust solution for your business. Drawing from my experience, the primary challenges in this project are maintaining session persistence and navigating the NSE’s dynamic security layers, including rotating headers, cookies, and token validation. Because market data scrapers typically falter due to request throttling or session timeouts—rather than logic flaws—I prioritize building a resilient architecture with robust retry mechanisms. Execution Plan Phase 1: Session & Extraction Architecture I will analyze the NSE endpoints to implement a secure initialization layer (managing tokens and cookies) and develop a streamlined extraction process for all active Nifty option chain contracts. Phase 2: Resilience & Automation To ensure 100% uptime during market hours, I will develop an automated refresh loop featuring configurable polling intervals, detailed diagnostic logging, and advanced error handling to prevent script crashes. Phase 3: Delivery & Validation The final package will include a flexible configuration file for user-defined settings (refresh rates/file paths). I will provide sample data in JSON or CSV format and include a recording or log demonstrating a flawless, continuous one-hour live session.