I am trying to create growth rates for thirty days after download the data from yahoo finance. I used the following codes and a function but my output prints the same numbers for all days ( 1-30) days of growth. any help is appreciated.

# Extracting data from yahoo finance
    
    import pandas as pd
    import requests
    import yfinance as yf
    import numpy as np
    import matplotlib.pyplot as plt
    import time
    import datetime

    symbols = ['MSFT', 'HD', 'TSLA']
    stocks_df = pd.DataFrame({'A' : []})
    symbols_daily = yf.download(symbols,
                     period = "max",
                     interval = "1d")
    for i,ticker in enumerate(symbols):
    print(i,ticker)

  # Work with stock prices
  historyPrices = yf.download(tickers = ticker,
                     period = "max",
                     interval = "1d")

  # generate features for historical prices, and what we want to predict
  historyPrices['Ticker'] = ticker
  historyPrices['Year']= historyPrices.index.year
  historyPrices['Month'] = historyPrices.index.month
  historyPrices['Weekday'] = historyPrices.index.weekday
  historyPrices['Date'] = historyPrices.index.date

  if stocks_df.empty:
    stocks_df = historyPrices
  else:
    stocks_df = pd.concat([stocks_df, historyPrices], ignore_index=True) and 

I created the function: 
**# function to create growth**

    def get_growth_df(df:pd.DataFrame)->pd.DataFrame:
      for i in range(1, 31):
        df['future_growth_'+str(i)+'d'] = df['Adj Close'].shift(-1) / df['Adj Close']
        GROWTH_KEYS = [k for k in df.columns if k.startswith('future_growth_')]
      return df[GROWTH_KEYS]

get_growth_df(historyPrices).describe()

it gives me the same values for each of the thirty days.

I am expecting something like this for each of the thirty days growth.
enter image description here