Python Charting Stocks/Forex for Technical Analysis Part 3 - Free intra-day stock data

TL;DR

Learn how to acquire stock price data for multiple stocks and at a higher granularity, and get insights on continuously pulling the data.

Transcript

what's going on everybody welcome to part three of stock price acquisition where we left off we hold the open high low close of one day data from Yahoo Finance we pulled it for Apple and this is the data file that we we got here it's about what it looks like to 49 lines of price information and just as a quick aside oh if you wanted higher granular... Read More

Key Insights

• ⌛ Programming can be used to acquire stock price data for multiple stocks, saving time and effort.
• 👻 The granularity of the data can be adjusted, allowing for more detailed analysis at smaller intervals.
• 📣 Continuous data pulling is crucial to avoid gaps in historical stock price data.
• ❓ Pulling data too frequently may not be efficient, especially when the website is overloaded.
• 🧑‍🦽 Manual data retrieval is still an option for acquiring data for a single stock.
• 🌥️ Using a database like SQLite3 can be an alternative for managing a large bulk of stock price data.
• 🧡 Pulling stock price data from Yahoo Finance provides access to a range of historical data.

Questions & Answers

Q: How can we acquire stock price data for multiple stocks using programming?

By using a for loop and adding the stock symbols to a list, we can automate the process of acquiring stock price data for multiple stocks. The function will iterate through each stock in the list and retrieve the data accordingly.

Q: Can we change the granularity of the stock price data?

Yes, the granularity of the data can be changed from daily to smaller intervals, such as five-minute intervals. This allows for more detailed analysis and tracking of stock price movements throughout the day.

Q: What is the benefit of continuously pulling stock price data?

Continuous data pulling ensures that there are no gaps in the historical stock price data. By running a program in a loop, the data can be pulled continuously, ensuring up-to-date and accurate information for analysis.

Q: How frequently can we pull the stock price data?

The frequency of data pulling depends on the desired granularity and the purpose of analysis. For example, for five-minute interval data, the program can be set to pull data every five minutes. However, it is important to consider the efficiency of frequent data pulling and avoid overloading the website.

Summary & Key Takeaways

• The content demonstrates how to acquire stock price data for multiple stocks using programming, saving time and effort compared to manual data retrieval.

• It also shows how to change the granularity of the data from daily to five-minute intervals, allowing for more detailed analysis.

• The content highlights the importance of continuously pulling data to avoid gaps and demonstrates how to create a loop to achieve this.