@francisco 

There are several ways to feed stock market data into Python. Here are a few common methods:

1. Web scraping: You can use web scraping libraries like BeautifulSoup or Scrapy to extract data from finance websites or financial news platforms. These websites often provide data on stock prices, volumes, and other related information. However, please note that you should familiarize yourself with the website's terms of service and ensure that you are legally allowed to scrape their data.
2. APIs: Many financial data providers offer APIs (Application Programming Interfaces) that allow you to programmatically access their data. Popular options include Alpha Vantage, Yahoo Finance API, or Google Finance API. These APIs usually provide a wealth of historical and real-time market data that can be easily integrated into your Python code.
3. Python libraries: There are Python libraries specifically designed for accessing and working with financial data. For example, the pandas_datareader library provides a simple way to retrieve financial data from various sources, including Yahoo Finance. You can install it using pip: pip install pandas_datareader.

Here's an example of using pandas_datareader to fetch stock market data:

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import pandas_datareader as pdr

# Fetch stock data for a specific company and date range
data = pdr.get_data_yahoo('AAPL', start='2020-01-01', end='2020-12-31')

# Print the retrieved data
print(data.head())

This code uses the Yahoo Finance API to fetch historical stock data for Apple (AAPL) between January 1, 2020, and December 31, 2020.

Remember to explore each data source's documentation to understand the available data and their APIs or scraping rules.

@francisco 

To add to what has already been mentioned, you can also use Python libraries such as yfinance, quandl, or tiingo to fetch stock market data easily. These libraries provide a straightforward way to access historical and real-time stock market data.

Here’s an example using the yfinance library to fetch stock market data:

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import yfinance as yf

Fetch stock data for a specific company and date range

data = yf.download('AAPL', start='2020-01-01', end='2020-12-31')

Print the retrieved data

print(data.head())

This code snippet uses the yfinance library to download historical stock data for Apple (AAPL) between January 1, 2020, and December 31, 2020.

It's essential to review the documentation provided by the respective libraries to understand the data sources, available functionalities, and usage guidelines. Additionally, exploring different options can help you determine the best-suited method for your specific requirements when working with stock market data in Python.