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I need a small, reliable script that pulls historical option-chain data from NSE, aggregates the last-traded price (LTP) of every call and every put for each date/expiry, and then outputs the two totals side-by-side so I can quickly compare how calls and puts behaved over time. The focus is purely on historical analysis—no real-time streaming or alerting. I’m not interested in fancy visualisations; simple numeric results (CSV, Excel, or a neatly formatted table) and a brief comparison metric or ratio are perfect. Python with libraries such as requests, pandas, or nsepython is ideal, but I’m open to any language that can handle the NSE site’s quirks and respect its rate limits. Please include: • A script that can be rerun for any date range I specify. • Clear instructions on setup and execution. • Sample output covering a short date span to show that the totals calculate correctly. Accuracy and repeatability matter more than speed. If you’ve handled NSE data before, let me know—otherwise, outline how you’ll manage the exchange’s occasional redirects and captchas so the download stays stable.
Projekt-ID: 40276540
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10 Freelancer bieten im Durchschnitt ₹1.161 INR für diesen Auftrag

Hi, I specialize in Python scripts for financial data scraping and analysis, especially with Indian stock market sources. I have carefully reviewed your requirements for the NSE Option Chain LTP Analyzer. You need a clean and reliable script that fetches historical option chain data from the NSE website, aggregates the total last-traded price (LTP) for every call and every put across dates and expiries, and outputs the two totals side-by-side for easy comparison over time, including a simple comparison metric or ratio. The script will be fully reusable for any date range the user specifies and will export the results in CSV, Excel or a neatly formatted table. It will include proper handling of NSE redirects, occasional captchas and rate limits to ensure stable and repeatable downloads every time. I will deliver the complete script with clear setup and execution instructions plus a sample output covering a short date span so you can immediately verify the accuracy of the call and put totals. My focus is always on reliability, clean code and easy maintenance so you can run the analyzer whenever needed without issues. I am ready to start immediately once selected and deliver exactly what you described. Looking forward to working with you on this. Best regards
₹1.050 INR in 7 Tagen
3,0
3,0

You’re looking to analyze historical NSE option-chain data by aggregating last-traded prices for calls and puts across various expiry dates, outputting side-by-side totals for easy comparison without any real-time features or visualizations. I see you want a reliable Python script that handles date ranges flexibly and respects NSE’s rate limits while producing simple numeric results like CSV or Excel. With over 15 years of experience and more than 200 projects completed, I specialize in Python development, API integration, and data processing using pandas, perfectly suited for scraping and analyzing financial data. I’ve worked extensively with web scraping architectures that handle redirects and captchas, ensuring stable and repeatable data downloads. For this project, I will build a Python script using requests and pandas to pull and aggregate historical option-chain LTP data from NSE. The script will accept custom date ranges and output well-structured CSV files alongside a brief comparison ratio. I will provide clear setup instructions and sample outputs within a few days to ensure accuracy and repeatability. Feel free to reach out so we can discuss your specific date range needs and any additional preferences you might have.
₹660 INR in 7 Tagen
2,9
2,9

Hello Sir, I am Juned Ansari I have an experience 2 years in python,JavaScript I can work on this miliestone project. so please give a chance for this project I have completed in 3-4 days.
₹1.200 INR in 4 Tagen
0,0
0,0

I've worked extensively with financial data pipelines in Python — pulling, validating, and aggregating structured datasets at scale — and NSE's quirks (redirects, session headers, rate limits) are well within my wheelhouse. For this project I'll deliver a clean Python script using requests, pandas, and nsepython that fetches historical option-chain data for any date range you specify, aggregates total Call and Put LTP per date/expiry, and outputs a side-by-side CSV or Excel table with a simple C/P ratio. I'll include retry logic and configurable delays to keep downloads stable and repeatable. Setup instructions and verified sample output included. Ready to start immediately.
₹1.050 INR in 7 Tagen
0,0
0,0

Hello, I can create a Python script that retrieves historical NSE option-chain data, aggregates the LTP totals for calls and puts, and outputs the results side-by-side in CSV or Excel format. The script will allow you to specify any date range and expiry, and it will be designed to handle NSE request behavior and rate limits. I will also include clear setup instructions and provide a small sample output so you can verify the calculations. I focus on simple, reliable automation scripts that are easy to run and reuse. Best regards
₹3.300 INR in 2 Tagen
0,0
0,0

I’ve already built data scrapers for the NSE platform. The historical option-chain totals can be collected by pulling the NSE option-chain data for each date and expiry, then aggregating the LTP values for all call options and all put options separately. The script can iterate through the selected date range, extract the option rows, and compute two totals per date (Total Call LTP and Total Put LTP), along with a simple comparison metric such as a Call/Put ratio. The workflow would be: fetch the option-chain data for a specific date → parse all strike entries → sum the LTP values for calls and puts → store the totals in a structured dataset → repeat for the entire date range and export the results to CSV or Excel.
₹1.050 INR in 7 Tagen
0,0
0,0

Hello, I can create a simple script that pulls historical option-chain data from NSE and calculates the total LTP for calls and puts for each date/expiry. The script will output clear results in CSV or Excel so you can easily compare the totals over time. The script will be reusable for any date range you choose, and I will include clear setup and running instructions along with a sample output to verify the calculations. Although I haven’t worked with NSE data before, I’m comfortable using Python (requests, pandas) and handling API requests and data processing. I will ensure the script respects rate limits and works reliably. Thank you for considering my proposal.
₹600 INR in 7 Tagen
0,0
0,0

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