During your Stock Data Crawling Project, how did you ensure the accuracy and reliability of the data collected from different sources? What verification methods did you implement?

"Certainly! The interviewer asked how I ensured the accuracy of the data collected the Stock I approachedData Validation**: I implemented multiple verification methods to cross-check the data against reliable financial databases. This included comparing real-time stock prices with trusted sources like brokerage websites.

2. **Error Handling**: I set up a robust error handling system that logged any discrepancies or issues during the crawling process, which allowed us to quickly identify and fix problems as they arose.

3. **Continuous Monitoring**: I developed a monitoring system that regularly updated with the latest data to ensure we were working with the most current information. This involved using `crontab` to schedule periodic crawls.

4. **Testing and Feedback Loops**: I established a testing phase where we would sample the data collected and get feedback from analysts using it. This kept us aligned with user needs and improved our data collection approaches based on real-world application.

In summary, by implementing data validation, error handling, continuous monitoring, and testing, we ensured that the information collected was both accurate and reliable for our stock trend analysis. This proactive approach not only strengthened our data integrity but also enhanced the overall value of our insights for researchers."