Python Download Historical Stock Data & Save to CSV (eod Library & Pandas) | Part 3 💾
@MattMacarty
🐍 Python Download Historical Stock Data & Save to CSV (eod Library & Pandas) | Part 3
Welcome to Part 3 of the **Python Stock Analysis Course**!
In this video, we move from curating a list of stock symbols (Part 2) to the crucial step of *downloading and saving historical price data* for analysis.
You will learn how to replace cumbersome API calls with a cleaner, class-based approach using the dedicated *`eod` Python library* (for EODHistoricalData). We then write a robust function to process the downloaded data and save it locally as clean *CSV files* with a Datetime index.
🎯 Key Learning Outcomes:
1. *Simplify API Calls:* Install and use the *`eod` Python library* to handle API endpoint communication more efficiently than direct URL calls.
2. *Date Range Setup:* Define default start and end dates to retrieve a consistent time period of historical data (e.g., 13 months).
3. *Data Processing:* Convert the raw downloaded data into a *Pandas DataFrame**, set a **DatetimeIndex* for time-series analysis, and drop unnecessary columns.
4. *Local Storage:* Create a function that loops through a list of tickers, downloads data for each, and saves it to a designated local folder (`data_files`) as individual **CSV files**.
⏱️ Video Chapters (Jump Ahead!):
0:00 - Introduction & Course Review (Tickers acquired, now need data)
0:43 - *Installing and Importing the `eod` API Client Library*
1:48 - Setting up Default Start & End Dates (e.g., 13 months of data)
2:56 - Defining the `get_data` Function (Arguments: Tickers, API Key, Path)
4:30 - Instantiating the API Client and Looping Through Tickers
5:18 - Making the API Call for *End-of-Day (EOD) Prices*
5:42 - *Setting the DatetimeIndex in Pandas*
6:14 - Saving the Cleaned Data to a *Local CSV File*
7:00 - Printing Download Status and Skipped Tickers
7:45 - Testing the Function with Energy Sector Stocks
10:48 - Preview of Part 4: Processing the Downloaded Data (Returns, Plotting)
🔗 Course Series & Resources:
*Part 1 (Tickers List):* [ • **Python Stock Tickers: Download ALL Excha... ]( • **Python Stock Tickers: Download ALL Excha... )
*Part 2 (Filtering):* [ • Python Data Curation: Filter Stock Tickers... ]( • Python Data Curation: Filter Stock Tickers... )
*Get the Code:*
https://github.com/mjmacarty/python-s...
**Disclaimer: This video is for educational purposes only. The information provided should not be construed as investment advice. **
\#PythonForFinance \#HistoricalData \#APICall \#Pandas \#PythonTutorial \#CSVExport \#eodLibrary \#StockDataDownload \#Part3