Historical Data Scalping from Yahoo Finance
Budget: $30 – $250 USD
I need help with extracting and processing historical data from Yahoo Finance for scalping purposes. The data should be for the last 6 months, with a daily frequency. The highest values from this period are of particular interest to me.
Key Requirements:
- Use Python to scrape the necessary data
- Update Google Sheets with the scalping results, specifically from cells A2 to A2500
- Deliver the data in the specified format: nohup.out
I would appreciate a quick turnaround and communication on how we can accomplish this efficiently. Ideal candidates for this project should have experience with data scraping, Python programming, and Google Sheets integration.
Key Requirements:
- Use Python to scrape the necessary data
- Update Google Sheets with the scalping results, specifically from cells A2 to A2500
- Deliver the data in the specified format: nohup.out
I would appreciate a quick turnaround and communication on how we can accomplish this efficiently. Ideal candidates for this project should have experience with data scraping, Python programming, and Google Sheets integration.