Live Nifty Options Excel Logger

@AbhyudayaCodes

Hi, Sir/Madam ! Warm Greetings !! We are a team of expert algo trading systems developers, having vast experience in algo trading field, mainly using Python. We have built the following types of algos: > NSE/MCX Markets > Algos trading F&O, Stocks, Spreads, Straddles, Cryptos & Commodities > Indicator/price movement based algos > Desktop/server based > Multi client systems > Systems with Stop loss, Trailing SL, Target Profit, Martingale, Qty Splitter, Multi Timeframe, Stock Screening, etc. > Have built custom timeframes and indicators > Brokers like Zerodha, Fyers, Angel One, IB, etc. > Chart patterns like Heikin Ashi, Renko, Marubozu, etc. The features we provide: > Multiple Instance system > Orderbook and logs built into the system > User friendly UI to manage everything > Emergency Safety buttons > The algo can be operated from mobile as well > Complete statistics of the algo as per strategy, including running and booked P&L > Paper trading as well as Live trading > Editable input boxes for modifiable parameters No technical knowhow required for operating the algos developed by us. We focus on delivering quality to our clients, keeping in mind safety, security, aesthetics, scalibility, etc. Considering our skill set and experience, we think we will be a perfect fit for your project. Looking forward to working with you ... Message us to discuss further

@archanaoswal

I can build you a robust, self-contained solution that captures the full Nifty option-chain directly from NSE every minute and writes it into a clean Excel workbook—ready for your back-testing and historical analysis. I’ve delivered several market-data automation tools earlier, and my clients consistently highlight my accuracy, reliability, and clean coding style. You’ll get a solution that runs unattended on a standard Windows laptop. What I Will Deliver ✔ Real-time option-chain fetcher in VBA ✔ Full CE + PE chain, all strikes, LTPs, OIs, volumes, IVs, Greeks (if available) ✔ Automatic one-minute refresh during market hours ✔ Timestamped snapshots stored directly in Excel (XLSX) ✔ Smart retry + error handling for network failures ✔ Clean, analysis-friendly Excel layout ✔ Inline comments + a short Quick Start guide Why Choose Me Strong expertise in Excel + VBA + Python, especially for market-data automation Proven track record: my past clients consistently rate my work 5-stars for reliability and accuracy I deliver clean, stable, production-ready scripts that keep running without babysitting Fast responses, clear communication, zero confusion

@sumitwebrainbows

As an experienced .NET developer and seasoned software engineer, building a reliable, self-sufficient solution for your Nifty option-chain logging project aligns perfectly with my skillset. I'm deft in converting complex data-processing requirements into intuitive, user-friendly applications, making it easier for you to run systematic back-tests on the historical ticks. My proficiency in managing web development projects with strict adherence to delivery timelines ensures that your project will be well-organized with timestamps identifying each NSE snapshot, capturing all relevant information including strikes, calls, puts, and any additional Greeks available. My expertise extends to dealing gracefully with network hiccups as well; I'll make sure your solution automatically reconnects and continues fetching data. Moreover, my work is always supported by a comprehensive README or inline comments to make it hassle-free for you to run the collector on any standard Windows laptop. Throughout the 14 years of my career in web application development with .NET, I have learned the significance of building long-lasting relationships through consistently exceeding client expectations. That's the commitment you're signing up for if you choose me!

@PatoPro

As a Data Scientist with an expert proficiency in Python, I possess the skills and knowledge necessary to execute your Live Nifty Options Excel Logger project flawlessly. My strong background in Machine Learning, Data Analysis, and Data Visualization guarantees that not only will your options data be collected from the NSE in real-time, but it will also be clean, well-organized and ready for efficient back-tests. Having worked extensively with Pandas, NumPy and Scikit Learn libraries, I am confident in my ability to collect all essential data points including time stamps, option strikes as well as put and call values, etc. Furthermore, my statistical analysis expertise will ensure the included Greeks are as comprehensive as possible. One critical aspect of the project you highlighted is the ability to handle network hiccups gracefully. Thanks to my experience in building predictive models and dealing with messy data, I have developed robust error-handling strategies that enable smooth data pulls even in adverse conditions. Lastly, I will provide both clear instructions and a powerful XLSX sample for easy replication of my work on any standard Windows laptop. With me at the helm of this project, you can rest easy knowing your historical tick collection is being expertly taken care of. Let's get started!

@MSoliha

Hello! I can build a fully automated, self-contained solution that fetches the complete NIFTY option chain directly from the NSE every minute and writes it into a clean Excel workbook, exactly as described. The collector will timestamp each snapshot, capture all strikes, calls/puts, and available Greeks, handle reconnections gracefully, and generate a minute-wise historical dataset ready for back-testing. I can deliver this in Python or VBA with a simple one-click start, and I will also include a short README so you can run it on any standard Windows laptop. You will receive the source code, a working XLSX populated with example minute-by-minute data, and a script that auto-updates during market hours without manual clicks. Once Excel fills itself every 60 seconds, the project is complete—exactly according to your acceptance criteria.

@pankajsiwachs1

i am perfect because of perfection and dedication toward my work and well experienced in my work thats why i am good for this work.

@harshabollisetti

Hello, I can deliver a complete, self-contained solution that automatically collects the full NIFTY option-chain directly from the NSE and writes it into a single Excel workbook every minute—exactly as you described. Why I’m a great fit: ✔ Strong experience with data automation, and Excel integration ✔ Ability to build stable collectors in Python, VBA. ✔ Focus on reliability: retries, error handling, and clean data formatting ✔ Proven background in systematic trading tools and tick-level history building What I will deliver: • A script that fetches all strikes, calls, puts, and available Greeks in real time • Automatic timestamping and 1-minute refresh during market hours • Graceful recovery from network failures • A clean XLSX file (append or overwrite) ready for back-testing • Full source code + README so you can run it on any Windows laptop • A working sample Excel file with at least one hour of collected data Once you can launch the script and watch Excel update itself every 60 seconds, your project is complete. I’m ready to start immediately and can provide a quick draft within a day. Looking forward to working with you!

@richpartha

Hello, I can understand your requirements, however I need more information as below. 1. If you are looking for an incremental entire options (call/put) data for a month-wise or quarter wise in a file, since excel has limit of 10 lakhs row we can accommodate. If you share the source of the link, I can have better understanding. 2. Data range from and to of strike rate Happy to connect!

@msgkiller

I will do everything for you from development to support and also provide other software help with more project

@DikshanK3

Hi, I hope you're doing great. I'd like to work on your Nifty Option-Chain real-time data collector. I can build a stable, automated, bot-bypass enabled solution exactly as you described. ✔ What I will deliver Real-time option chain collector (NSE) Auto refresh every 60 seconds Full strike table with Calls/Puts & Greeks Timestamped snapshots Excel output in append mode(one workbook, historical data grows daily), can be changed Error-handling + retry logic (auto recovers from 401/403) 100% bot-bypass: Session cookies Browser-like User-Agent Automatic homepage prefetch Smart retry with backoff Clean code with comments + quick start guide Fully tested on Windows ✔ Tech stack I will use Python (Requests, OpenPyXL / Pandas) ✔ Why choose me I focus on stable & reliable data collection I’ve already worked with NSE’s anti-bot behaviour Clean, simple, easy-to-run setup I'm ready to start immediately and deliver a working version quickly. Looking forward to working with you.