Stock Volatility Analyzer App

@ashrafsbai6655

Hi there, I checked your requirements and guarantee you that i have relevant experience in Python,AI and data science it's gonna be done within the highest quality . Let's contact via chat so that I can start work immediately

@Web1devloper

As a data analyst with over 8 years of industry experience, I pride myself on my ability to convert intricate datasets into insights that drive tangible results. I'm well-versed in all your preferred tools, including Python and Excel, and have a deep understanding of statistical analysis. This makes me more than capable to take up the task at hand; building a bespoke program for your stock volatility analysis. My approach to data-centric projects involves prioritizing functionality and accuracy while ensuring clean, actionable output. I have extensive expertise in handling disparate datasets with comprehensive accuracy checks – a skill that will be incredibly beneficial when aggregating the NSE data and computing various statistical measures like standard deviations and averages. Finally, my knack for creating dynamic dashboards, like using Power BI or Tableau, will make your stock volatility analyzer app a valuable asset. As you witness unprecedented shifts in market volatility during these unprecedented times, my solution will provide you with the exact details and trends about the required index sets from Nifty100 to Nifty500 in real-time. Let's leverage my skills to transform your raw NSE data into clear, coherent reports that effortlessly paint an insightful picture about market volatility for smarter investing choices.

@dushyant317

I am a seasoned software developer with 13 years of experience, holding a degree from IIT Delhi. My expertise aligns perfectly with the required skills for your project. I have successfully delivered complex solutions across diverse domains with a focus on quality and scalability. I bring strong problem-solving ability, hands-on technical depth, and client-centric delivery. I am confident I can add value to your project and deliver results within timelines.

@Salman0217

Subject: Excited to Bring Your Project to Life! ? Dear [Sir/Madam], I’m thrilled about your project and would love to collaborate! As a new freelancer, I’m dedicated to delivering top-quality work and building a strong portfolio by exceeding your expectations. Why Choose Me? ✅ 3+ Years of Experience: Skilled in PHP, Java, Kotlin, HTML, and JavaScript, with a background at Builder.ai. ✅ Comprehensive Skills: App development, website design, SAP conversion, and more. ✅ Cutting-Edge Solutions: Leveraging the latest technologies like AI and secure authentication. ✅ Quick Communication: Fast and seamless interactions to ensure smooth progress. Services I Offer: ✅ App Development: Expertise in Flutter, Java, Kotlin. ✅ Website Development: Modern, responsive designs. ✅ SAP Conversion: Efficient and accurate transformations. ✅ Graphic Design: Creative logos and banners. ✅ SEO & Marketing: Effective SEO, SMO, and SMM strategies. Skills and Tools: ✅ Languages: Java, JavaScript, PHP, Python. ✅ Frameworks: Laravel, React.js, Django. ✅ Databases: MySQL, PostgreSQL. ✅ Tools: Git, Docker, AWS. I’m passionate about delivering exceptional results and innovative solutions tailored to your needs. Let’s work together to bring your vision to life! Best regards, Rohen singh ? 7734815980

@calibe2

I am a perfect fit for your project. I have extensive experience in developing automated data extraction tools utilizing Python libraries such as pandas, yfinance, and openpyxl. While I am new to freelancer, I have tons of experience and have done other projects off site. I can create a Windows-based utility that pulls end-of-day price data from NSE for user-defined time windows and generates daily returns, standard deviations, and momentum rankings for stocks in chosen index baskets. The data will be exported to Excel for easy analysis and sharing. I would love to chat more about your project! Regards, Calib Els

@khawar92

I can develop a lightweight Windows utility that fetches NSE end-of-day data for Nifty 100/200/500 over any user-defined window. The tool will calculate daily returns, average return, and standard deviation for each stock, plus compute momentum using the formula Current Close – Close n periods ago. You’ll get: Volatility rankings (lowest → highest stdev, with quick Top/Bottom 20 view) Momentum rankings (highest → lowest) Excel export with raw data, analytics, and both ranking tables, neatly formatted and ready to share Tech stack: Python (pandas, numpy, requests, openpyxl/xlsxwriter). I’ll package it into a single Windows .exe so you don’t need Python installed. Optional minimal GUI for easy selection of universe, date range, and output path. Deliverables: Executable utility + source code Example Excel workbook Short guide for setup and usage Timeline: 3–4 days (first working build in 2 days, then polish + Excel formatting). Questions: Do you prefer adjusted close or official close? Would you like simple charts in Excel for volatility/momentum? I can start right away and will ensure accurate results with a professional finish. Best regards, Khawar Malik

@Samra9290

Hi! I can build a Windows-based utility to fetch NSE end-of-day price data for Nifty 100, 200, or 500 and generate the analytics you’ve outlined. The tool will be accurate, efficient, and export all results neatly into an Excel workbook for easy review and sharing. Key Features I’ll Implement: • Automatic fetching of NSE end-of-day data for user-defined look-back periods (e.g., 15 days, 1 month). • Daily returns, average returns, and standard deviation calculations for each stock. • Volatility ranking (least → most volatile), with quick filter to show top/bottom 20. • Momentum calculation using the formula (Current Close − Close n periods ago) with ranking. • Export of raw data and both ranking tables to a clean, well-formatted Excel file (via openpyxl). • (Optional) Simple GUI for user-friendly selection of index basket and time window. Tech Stack: Python (pandas, requests/yfinance, openpyxl, tkinter for GUI if required). The solution will be packaged into a standalone Windows executable so you don’t need to run code manually. Why me? • Strong experience in Python + financial data analysis. • Skilled in automating workflows and Excel reporting. • Detail-oriented approach to ensure accuracy in financial metrics. I can deliver a working version quickly and refine it based on your feedback. Let’s connect to discuss the look-back flexibility, formatting preferences, and any additional metrics you’d like included. Best regards, Samra

@Hugopm73

Hello, I would be glad to help you with this project. I have strong experience working with Python (pandas, yfinance) and I can implement all the analytical requirements you mentioned: Data retrieval from NSE for any user-defined window (e.g., 15 trading days or a month). Return calculations: daily returns, average returns, and standard deviation. Ranking by volatility (lowest → highest stdev, with option to filter top/bottom 20). Momentum calculation using your specified formula. Export to Excel: both raw data and ranking tables will be neatly formatted in a workbook for auditing or sharing. The analytical part—data processing, calculations, and exporting—will be robust and accurate. The GUI, if needed, would be simple and functional (not highly polished visually, but clear enough to run the workflow smoothly). The focus will be on correctness, performance, and reliability of the results. The analytical part—data processing, calculations, and exporting—will be robust and accurate. I can provide a working prototype quickly that meets all your functional needs. If desired, I would be happy to take on additional work to refine the GUI and add robust documentation, ensuring the program is user-friendly and maintainable. The GUI, if included in the prototype, would be simple but functional—the focus will be on correctness, performance, and reliability of the results. Looking forward to collaborating with you. Best regards, Hugo

@atulfreelancer21

Hello, I’m Atul. I can develop a Windows-based utility that pulls end-of-day NSE data for Nifty 100/200/500 over any user-defined period. Using my expertise in Python, Pandas, Selenium, yfinance, and openpyxl, I’ll automate data fetching, compute daily/average returns, volatility, and momentum, and generate ranked lists (least/most volatile, top momentum). All outputs will be exported to a well-formatted Excel workbook for easy sharing and audit. I can also add a simple GUI (Tkinter/PyQt) for universe selection and quick filtering (top/bottom 20). With strong experience across Python, Django REST, MySQL/PostgreSQL, AI/ML, automation, and data processing, I ensure a robust, accurate, and extendable solution. The tool will run smoothly on Windows, and I’ll provide clear handover notes so you can use and expand it confidently.

@AnuragNagare

I want to apply for your project to build a Windows-based tool for analyzing NSE end-of-day price data. I have a strong background in Python, processing financial data, and reporting in Excel. I’ve developed similar tools for market analysis, risk modeling, and automated trading insights. ✅ Relevant Expertise I am skilled in pandas, yfinance, openpyxl, and NSE API wrappers for reliable price data extraction. I have experience building custom financial analytics pipelines for returns, volatility, momentum, and technical indicators. I can produce ranked analytics tables for the least and most volatile stocks, as well as top and bottom momentum stocks, directly into formatted Excel reports. My prior work in risk analytics and trading strategy automation guarantees accuracy and reproducibility. ✅ What You’ll Get A utility or script that fetches end-of-day NSE data for Nifty 100, 200, or 500 based on user-defined time periods, such as the last 15 days or one month. Calculations of daily returns, average return, and standard deviation, along with a ranking based on volatility. Automatic export to Excel with raw data and ranking tables in a well-formatted, shareable workbook. I will ensure the solution is accurate, well-documented, and easy to run on Windows. While functionality will be the main focus, I can add some polish to the user interface if needed. I look forward to helping you improve this workflow. Best regards, Anurag Nagare

@thenmozhi2115

Dear Client I saw your requirement regarding to develop a Stock Volatility Analysis Application development for NSE. I can develop this application ASAP based on your requirements. I developed similar Volatility Analysis Software Already. So I can do it earliest. Let share further details.

@AureliaStudio

I'm confident I'm the right fit to deliver outstanding results. I understand the need for a Windows-based utility to automatically pull Nifty 100, Nifty 200, or Nifty 500 stock data from NSE for specific time windows and perform calculations like daily returns, standard deviation, and momentum ranking. While I am new to freelancer, I have tons of experience and have done other projects off site. Thanks for the consideration, I would love to chat more about your project! Best wishes, Rico :)

@Apexoutsourcing

I am a perfect fit for your project, adept at creating automated tools for financial data analysis. I will develop a Windows utility in Python using pandas, yfinance, and openpyxl to fetch end-of-day price data from NSE for Nifty indexes. With expertise in calculating returns, standard deviation, and momentum, I will present the results in Excel for easy analysis and sharing. While new to Freelancer, I have vast experience outside the platform. I would love to chat more about your project! Regards, Jadey Pelser

@bizmanas

Hi there — I’d love to build your “Stock Volatility Analyzer App.” I’m a senior engineer with 18+ years in data engineering/analytics (⭐ 4.9 rating, strong repeat-client record). I’ve shipped multiple trading utilities on Windows using Python, pandas, NumPy, requests, openpyxl/xlsxwriter, PyInstaller—and I’m comfortable with NSE bhavcopy/index endpoints and reliable fallbacks to avoid throttling. Here’s how I’ll deliver it—accurate, fast, and audit-friendly: Data Ingestion: Pull EOD prices via NSE bhavcopy (CSV/JSON). Auto-detect trading days; robust retries, caching, and backoff. Dynamic Nifty 100/200/500 constituent fetch at run-time. Transforms: Compute daily returns, average return, standard deviation (population/sample as desired), and momentum for the look-back. Optional corporate-action awareness (splits/bonuses if you want). Ranking Logic: Two sortable tables—Volatility (low→high) with quick Top/Bottom 20 filters, and Momentum (high→low). Excel Export (polished): One workbook with sheets: RawPrices, Returns, VolatilityRank, MomentumRank, plus a summary sheet (universe, window, run timestamp). Nicely formatted (freeze panes, thousands/percent formats, conditional bars). UX: Simple GUI (Tkinter/PySimpleGUI) or config-driven CLI (your choice). Packaging: Single .exe via PyInstaller for easy Windows install; logging to file for reproducibility. Verification: Spot checks against sample tickers; unit tests for calculations; checksum of export.

@Patil9609

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 I can deliver any project in Trading. Readymade setups for Python available