Python code for index option buying nifty sensex and bank nifty Script

@mayankinnovative

Dear Hiring Manager, Thank you for sharing your requirement. I understand you’re looking to build a lightweight yet reliable Python-based system that scrapes live and historical Indian stock-market data directly from official exchange sources and feeds it into a single dashboard for analysis and strategy testing. I’d be glad to help you design and implement this end-to-end. Here’s how I would approach the project: → Build a clean, maintainable Python scraping layer to extract live and historical data from official Indian exchange websites → Handle different indices, symbols, and timeframes in a structured and reusable way → Ensure scraping logic is robust, rate-limited, and aligned with publicly available data access patterns → Normalize and store data in a structured format suitable for fast querying and analysis → Design a dashboard where you can: → Select index or instrument → Choose timeframes (intraday, daily, historical ranges) → Apply and compare different trading or analysis strategies → Visualize results clearly using charts and summary metrics → Keep the script lightweight and modular so strategies and data sources can be extended later without rewriting core logic From a technical standpoint, the focus will be on reliability, clarity, and extensibility rather than over-engineering. The scraping layer, data handling, and dashboard logic will be cleanly separated so each part can evolve independently. Best Regards, Mayank Saluja

@Algokage

Hello, With 5+ years of experience in Python development and financial data scraping, I can create a lightweight script to fetch live and historical Indian market data from official sources. The dashboard will allow seamless selection of indices, time frames, and strategies. I’ll use efficient libraries like BeautifulSoup, Pandas, and Plotly for scraping, data handling, and visualization. For reliability, I’ll implement error handling and caching mechanisms. Let me know if you’d like to see samples of similar projects. Thanks, Adegoke M.

@bagdenavdeep

I can build a lightweight, reliable Python solution to scrape live and historical Indian market data directly from official stock exchange sources and present it through a unified, easy-to-use dashboard. The system will support index selection, multiple timeframes, and strategy-based views, with a clean data pipeline designed for accuracy and low latency. With 9+ years of software development experience, strong Python fluency, and deep familiarity with Indian market data (NSE/BSE), I’ve built data-driven trading and analytics tools that are stable and scalable. The solution will be modular, easy to extend, and optimized for real-time and historical analysis.

@Hemanta013

Inconsistent data pipelines and manual strategy validation waste hours; you need deterministic backtesting with zero data gaps. I will build a Python-based dashboard using Streamlit that scrapes NSE/BSE data via official APIs (with headless browser fallback for rate-limit resilience), stores tick data in a local SQLite database for instant historical lookups, and surfaces interactive strategy comparisons across multiple timeframes. The system will handle market holidays, corporate actions, and missing data gracefully, with explicit logging for every scrape attempt to ensure data integrity and reproducibility. Confirm your priority indices and top three strategies so I can deliver a working prototype within 24 hours.

@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

@phpxpert89

Hello mituldodiya, I checked your project, and it looks interesting. This is something we already work on, so the requirements are clear from the start. We mainly work on Python, Web Scraping, Financial Analysis, Data Visualization, Data Analysis, API Development, Data Collection, Pandas We focus on making things simple, reliable, and actually useful in real life not overcomplicated stuff. Let’s connect in chat and see if we’re a good fit for this. Best Regards, Ali nawaz

@pavels45

I can build a lightweight, reliable Python solution to collect live and historical Indian market data directly from official stock-exchange sources and centralize everything into a single interactive dashboard. The project will include a modular data-collection layer designed for stability (error handling, retries, validation and clean data normalization), ensuring long-term reliability even when source structures change. Historical and live data will be stored efficiently (CSV/Parquet or database, as preferred) and prepared for analysis and backtesting. On top of this, I will develop a user-friendly dashboard where you can select indices, timeframes and trading strategies. The dashboard will allow performance comparison, strategy visualization, and key metrics such as returns, drawdowns and risk measures. I focus on clean, well-documented code, scalable architecture and maintainable solutions. If scraping restrictions exist, I prioritize official downloadable data or compliant endpoints to guarantee robustness. Happy to discuss exchanges, data frequency and strategy requirements to deliver a solution that fits your exact needs.

@ALIJAFFAR1900

I will do the job in exchange for a strong review. I may be new on Freelancer, but I’m not new to building real trading systems. I’ve already developed robust Python trading applications for Meta platforms and Binance, including fast order execution, live price monitoring, and automated strategies. For your Zerodha project, I can deliver: ⚡ Ultra‑fast LTP checks (multiple times per second) ? Clean looping logic that ignores already‑executed options ? Integration with your existing Zerodha login code ? Easy-to-edit configuration for symbols, trigger prices, and quantities ? Clear execution logs (“Order executed…”) I’m currently building my reputation here, so I’m happy to work at a very low rate — even close to zero — in exchange for a strong review. What matters most to me is delivering a solution that works flawlessly and earns your trust. If you’d like, I can start immediately and share a first working version within a few hours. Looking forward to helping you speed up your trading workflow.

@richardc493

╔════════════════════════════════════════════════════════════╗ ║ I'M READY TO BUILD YOUR INDIAN STOCK MARKET DASHBOARD. ║ ╚════════════════════════════════════════════════════════════╝ Hello, Thank you for posting this project. I've reviewed your requirements and I'm confident I can build a reliable Python scraping tool and dashboard for Indian market data. Here's how I can help: - 5+ years Python development with web scraping expertise - Experience scraping NSE, BSE and official Indian stock exchange sites - Expert in BeautifulSoup, Selenium, Scrapy for reliable data extraction - Dashboard development using Streamlit or Dash What you can expect: ✔ Lightweight Python script for live and historical data scraping ✔ Reliable scraping from official stock exchange sources ✔ Interactive dashboard with index selection ✔ Timeframe filtering options ✔ Multiple strategy comparison features ✔ Clean, maintainable code ✔ Error handling for reliable data collection My approach: - Build scraping script respecting exchange site limits - Create efficient data storage (CSV/SQLite) - Develop intuitive dashboard interface - Implement filters for index, timeframe, strategies - Test thoroughly with real market data I've built similar scraping tools for financial data and trading dashboards before. Can provide examples. Happy to start with the scraping script as a milestone for evaluation. Thank you for considering my proposal. Best regards

@Yakshith90

Hi, I have reviewed your project and i am confident that i can build you this app and i have over 5 years of experience in python coding and api. I will deliver this project in 4 days. I am ready to build this project as fast as you accept my bid. Thanks

@ragulr10

I can build a Python-based solution to analyze Indian index data (NIFTY, BANK NIFTY, SENSEX) for options buying strategies. The work will include collecting and structuring historical market data, cleaning and processing it using Pandas, and enabling selection of index, timeframe, and basic strategy parameters. I will also provide a lightweight dashboard (Streamlit or similar) to visualize price movement, indicators, and summary results in a clear and usable format. The code will be modular, documented, and easy to extend later. I have hands-on experience with Python, Pandas, and data analysis projects, and I focus on accuracy, clean data pipelines, and practical outputs rather than overcomplicated scripts. I communicate clearly, follow agreed scope, and deliver stable, working solutions that clients can easily understand and use.

@Rahul77799

Hello, I’m interested in helping you build a reliable and lightweight Python script to scrape live and historical Indian market data from official stock exchange sources and integrate it into a customizable dashboard. I have experience working with Python for data scraping, automation, and analysis, including using tools like Requests, BeautifulSoup, Selenium, Pandas, and APIs. I can ensure the data is collected accurately, efficiently, and in compliance with website structures. What I can deliver: A clean and optimized Python scraper for official exchange data Automated collection of live and historical market data Structured storage for easy analysis An interactive dashboard to: Select indices Choose time frames Apply different trading strategies Visualize performance Well-documented, maintainable code Why choose me: Strong background in Python and data handling Focus on reliability and performance Clean, scalable implementation Regular updates and clear communication On-time delivery I understand the importance of accurate market data for strategy building, and I’ll make sure the solution is stable, efficient, and easy to use. I’d be happy to discuss your exact requirements and customize the system to match your trading workflow. Looking forward to working with you. Best regards, Rahul