Stock Prices Data Collection

@imraz2016

Hi there already i have checked project details job is clear so please contact me then i will show you sample, thank you

@livegoodlife

Hello there, I am experienced in web scraping and building scripts or a Windows desktop application using Python. I am also experienced in large data scraping from a given website, bypassing IP, Captcha, and anti-bot or cloud flair protection. Please message me to discuss this project in detail. Best Regards Enamul

@farhanyoussef18

Youssef, Full-Time Freelancer with Python Programming expertise specializing in web scraping, automation, and data extraction. I understand your need for a clean, well-structured spreadsheet of stock prices from Yahoo Finance, including both the most recent quote and five years of historical daily closing prices. I can develop an automated Python solution to accurately collect and organize this data, arranging it into an Excel workbook with separate tabs for each ticker and then exporting it to CSV. Leveraging tools like Playwright or Selenium, I will ensure precise extraction, correct YYYY-MM-DD formatting, and meticulous validation to double-check for splits and missing trading days. I have successfully completed similar data extraction and automation projects, ensuring high data accuracy.

@w3saddam

Hi there,I am ready to start stock data colletion Please kindly drop me a message for further discussion.100% accuracy will be delivered with a time frame and suitable budget. waiting for your reply thanks.

@ameenulhaq66

Hi Susan, Thank you for considering my proposal. With over 8 years of real-world Excel experience, I am well-equipped to assist you with this project. I have carefully reviewed your requirements and am confident in my ability to deliver accurate and well-structured stock price data. I would like to connect with you in chat to discuss your project further and ensure that I fully understand your needs. Regards

@jinufeb14

Drawing on my extensive background in data analysis and processing, I have the skills and experience you need to successfully complete your project. My fluency in Python, along with my knowledge of pandas and yfinance, makes me well-suited to efficiently gather and validate this stock price data. I assure you I will double-check for any splits or missing trading days so that your dataset is clean and accurate. Additionally, my proficiency with Excel will allow me to not only compile a well-structured, single workbook with separate tabs for each ticker, but also export it to CSV as per your request. My attention to detail will ensure that the format aligns with the YYYY-MM-DD standard, and that all relevant data fields including Date, Open, High, Low, Close, Adj Close, and Volume are carefully included. One last strength I've developed over years as a Freelancer is efficient time-management. Thus, I guarantee meeting your deadline of delivering finished files within three days of receiving the tickerlist. Don't hesitate to trust this important task to me—JINU (Ranked #6986 in freelancer), your go-to tech-savvy virtual assistant who delivers quality work on time.

@GdevDataSceince

Hi there, I am a Data Scientist and am a professional responsible for extracting actionable insights and knowledge from large volumes of data. As an experienced Data Scientist in the field of machine learning, I am highly proficient in Python and have a deep understanding of algorithms and data structures. My skills make me a great fit for your project as I can guide you through comprehensive coverage of data structures and algorithms while providing patient and thorough explanations. I have over 12-plus years of experience with Python Library Pandas, Karas, TensorFlow, NumPy, PyCharm, Py torch, Open CV, NLP, and others. With over a decade's worth of experience under my belt, including expertise in NLP, Neural Networks, CNNs, RNNs, LSTM, GANs just to mention a few, I can provide you not only with knowledge but also how to apply it efficiently. Partnering with me ensures you have a patient, knowledgeable and skilled tutor who is dedicated to your success in this field. My top priority is to provide a high quality of work, https://www.freelancer.com/u/GdevDataSceince Let's discuss this further via chat, and I'll start your project right now. Thanks Gdev

@mattafareed4848

Hello I can create a clean Excel workbook and CSV files with the most recent quote and full historical daily prices (past five years) for all your tickers using Python with yfinance, ensuring all fields—Date, Open, High, Low, Close, Adj Close, Volume—are accurate, consistently formatted, and checked for splits or missing days; each ticker will have its own tab, and I’ll validate all data against Yahoo Finance before delivery within three days. Regards Muhammad

@derrickmulwa

Hi, I am a senior data analyst with six years experience building accurate, audit ready financial datasets for research and reporting. My work focuses on price integrity, corporate actions, and reproducible data pipelines. I will pull live quotes and over five years of daily OHLCV data directly from Yahoo Finance using Python and yfinance, verify splits and adjusted prices, align trading calendars, and standardize dates to YYYY MM DD. Each ticker will be delivered in its own Excel worksheet with a matching CSV export. I am interested in delivering this quickly with strict validation and clean structure. Regards, Derrick.

@zafarfarooq612

Hello, I can deliver exactly what you’re looking for: a clean, audit-ready Excel workbook built exclusively from Yahoo Finance, with one tab per ticker containing a current snapshot quote plus at least five years of complete daily OHLCV history in a consistent YYYY-MM-DD format, alongside a matching CSV export. I’ll use a reproducible Python workflow (pandas + yfinance) to pull the data directly from Yahoo Finance, then validate each ticker for stock splits, missing trading days, and decimal consistency by cross-checking against Yahoo’s web view before final delivery. Every sheet will be structured identically (Date, Open, High, Low, Close, Adj Close, Volume), clearly labeled, and free of gaps so you can use it immediately for analysis. Once you send the ticker list, I can complete and deliver both files well within the three-day window. Regards, Zafar

@carlitanjuguna05

Hi there, I’m excited about the opportunity to assist you in compiling a clean and well-structured dataset of stock prices from Yahoo Finance. With extensive experience in data processing and financial modeling, I am fully equipped to meet your requirements effectively. I will utilize Python with the yfinance package to extract the most recent quotes and a comprehensive historical series of daily closing prices for the tickers you provide. Each ticker will have its own Excel tab formatted in the YYYY-MM-DD format, ensuring clarity and consistency. I will double-check for any discrepancies such as splits or missing trading days, and I will export the final workbook to CSV to ensure you have a seamless transition to further analysis. I can deliver the completed files within three days of receiving your ticker list. How would you like to proceed with providing the symbols?

@mohjib092

I can deliver a clean, accurate Yahoo Finance dataset exactly as specified. I’ll use Python (pandas + yfinance) to pull the latest quotes and 5+ years of daily historical data, validate for splits, missing days, and decimal accuracy, and format everything consistently (YYYY-MM-DD). You’ll receive a single Excel workbook with one tab per ticker plus a CSV export, fully checked and gap-free, within 1 day of receiving the symbols. Ready to start as soon as you share the list.

@dtk507

Hello! I understand you're looking to compile a clean spreadsheet of stock prices using Yahoo Finance. I will gather the most recent quotes and historical daily closing prices for each ticker you provide, ensuring a fully structured Excel workbook. Each ticker will have its own tab with the specified data points formatted in YYYY-MM-DD. To ensure accuracy, I'll use Python with the yfinance library, validating the data to match Yahoo Finance, checking for splits and missing days. The final workbook will be exported to CSV as well. Regards, Davide

@GraphicsHub2k24

Dedicated Freelancer Ready to Elevate Your Project for Stock Prices Data Collection. I have a solid background in Market Research, Excel, Statistics, Data Analysis, Python, Data Processing, Financial Modeling and Data Collection, I bring valuable expertise to your project. I have successfully completed many projects with 100% client satisfaction. Clear and timely communication is my priority. I believe in keeping you informed throughout the project lifecycle. I am available for a discussion at your earliest convenience. Please feel free to contact me to further discuss your project details. Thank you for considering my bid. I am excited about the opportunity to contribute to the success of your project. Please visit my portfolio to check my previous work samples, here - https://www.freelancer.com/u/GraphicsHub2k24?page=portfolio&w=f&ngsw-bypass= Best regards, Muhammad Asim Khan

@MSaadJaved

Hi Susan R., I am very interested in this stock data task. I am a data analyst with experience pulling financial time series and preparing clean Excel workbooks. I will use Python with pandas and yfinance to get the latest quote and at least five years of daily closing prices from Yahoo Finance. Each ticker will get its own sheet with Date, Open, High, Low, Close, Adj Close, and Volume in YYYY-MM-DD format. I will check values against Yahoo pages, detect and adjust for splits, and scan for missing trading days or misplaced decimals. I will also export the workbook to CSV. Please send the ticker list and I will begin. Best regards, Saad J.

@maksymh31

Hello, I will deliver a single Excel workbook (one tab per ticker) plus CSV exports containing Date, Open, High, Low, Close, Adj Close and Volume in YYYY-MM-DD. For each ticker I'll capture the live quote at pull time and download a full daily history (≥5 years) using Python with pandas and yfinance. My workflow: pull current quote and history, normalize formats, detect and account for splits via adjusted close, verify every value against Yahoo Finance pages, check for missing trading days versus market holidays, and correct misplaced decimals. I will perform automated sanity checks and a manual spot-check before export. To start, send the ticker list and your preferred timezone for the live quote capture; I’ll begin immediately and deliver completed files within 3 days of receipt. Do you have a preferred timezone cutoff for capturing the “most recent” quote, and will your ticker list include exchange suffixes (e.g., .L, .TO) or should I assume US tickers by default? Best regards,

@jesica46

Hello there, I have carefully read your project description and I’m confident that I can complete your Python project efficiently and professionally. I have strong experience in developing Python scripts for automation, data processing, and problem-solving. Here’s what you can expect from my work: ✅ Clean, optimized, and well-documented Python code ✅ Fast and reliable performance ✅ Regular updates during the project ✅ On-time delivery and unlimited revisions until you are satisfied I’m ready to start right away and can complete the task within your deadline. Please feel free to share more details about your project so I can tailor the solution perfectly for your needs. Looking forward to working with you! Best regards,

@prashanpatel557

Hello, I can deliver exactly what you’re looking for: a clean, validated stock price dataset sourced strictly from Yahoo Finance, organized and ready for analysis. How I’ll do it • Use a reliable pipeline (Python + yfinance / pandas) to pull: • Latest live quote at fetch time • Full historical daily OHLCV data (minimum 5 years) • Automatically adjust for splits and corporate actions (Adj Close verified) • Normalize all dates to YYYY-MM-DD • Validate for: • Missing trading days • Decimal / volume inconsistencies • Incomplete history Deliverables • One Excel workbook with: • Separate tab per ticker • Columns: Date, Open, High, Low, Close, Adj Close, Volume • One CSV export (either combined or per ticker, as you prefer) • Data cross-checked against Yahoo Finance to ensure accuracy Timeline • Delivery within 3 days after receiving the ticker list Why this works • Fully reproducible and auditable process • No scraping hacks, official Yahoo Finance data access • Clean structure, ready for modeling or reporting Share the ticker list and any formatting preferences, and I’ll get started immediately.

@KirtikaKataria

Hi, I’ve gone through the details and I’m confident in delivering exactly what you need for compiling a clean, well-structured spreadsheet of stock prices from Yahoo Finance. For this project, I plan to utilize Python with pandas and yfinance to collect the most recent quote and historical daily closing prices for each ticker. I will ensure that the data is accurately captured, free of gaps, and matches the information on Yahoo Finance. Prior to submission, I will double-check for splits and missing trading days to maintain data integrity. You will receive a single Excel workbook with separate tabs per ticker, showcasing the required data fields in the specified format. Additionally, I will export the workbook to CSV for your convenience. Let’s connect to finalize the brief and begin. Best regards, Kirtika