invest in stocks in python

To invest in stocks in Python, we can use the pandas library to fetch stock data and do analysis on it. Here's an example of how to fetch stock data using the yfinance library:

main.py
import yfinance as yf

# fetch stock data for Apple Inc.
stock = yf.Ticker("AAPL")
stock_data = stock.history(period="max")
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Once we have the stock data, we can compute various metrics such as moving averages, relative strength index (RSI), and other technical indicators. Here's an example of how to compute the 20-day moving average:

main.py
import pandas as pd

# compute the 20-day moving average
stock_data["20d"] = pd.Series(stock_data["Close"]).rolling(window=20).mean()
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We can also plot the stock data and the moving average:

main.py
import matplotlib.pyplot as plt

# plot the stock data and the 20-day moving average
plt.plot(stock_data["Close"])
plt.plot(stock_data["20d"])
plt.show()
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This is just a basic example of how to invest in stocks using Python. There are many more sophisticated methods and strategies for investing in stocks that can be implemented using Python.