Python Script for NASDAQ Data Analysis
Budget: $30 – $250 USD
I need three Python scripts for an analysis project involving NASDAQ data . These scripts will scrape stock prices and dividends from free stock data site (i.e., NASDAQ.com), place the data in a single-sheet Excel file, and create a line graph similar to an attachment I will provide (Untitled.png).
Script 1: Download stock prices (for a year - Download Historical Data.png) and dividend data (for a year) for a given stock
Script 2: save data to a single-sheet Excel file
Script 3: Create a chart in the Excel file
The ideal freelancer for this project should have:
- Extensive experience with Python, particularly with libraries for web scraping and data analysis.
- Proficiency in creating and manipulating Excel files with Python.
- Skills in data visualization, particularly in creating line graphs.
Please provide examples of similar projects you have completed in your bid.
Sample data:
Historical quotes: https://www.nasdaq.com/market-activity/stocks/aapl/historical?page=1&rows_per_page=10&timeline=y1
Dividend data: https://www.nasdaq.com/market-activity/stocks/aapl/dividend-history
Script 1: Download stock prices (for a year - Download Historical Data.png) and dividend data (for a year) for a given stock
Script 2: save data to a single-sheet Excel file
Script 3: Create a chart in the Excel file
The ideal freelancer for this project should have:
- Extensive experience with Python, particularly with libraries for web scraping and data analysis.
- Proficiency in creating and manipulating Excel files with Python.
- Skills in data visualization, particularly in creating line graphs.
Please provide examples of similar projects you have completed in your bid.
Sample data:
Historical quotes: https://www.nasdaq.com/market-activity/stocks/aapl/historical?page=1&rows_per_page=10&timeline=y1
Dividend data: https://www.nasdaq.com/market-activity/stocks/aapl/dividend-history