Yahoo Finance - code in Python

#1.Importing the Library and Setting the Stock of Interest
import yfinance as yahooFinance
import pandas as pd
pd.set_option('display.max_rows', None)

total_energies = yahooFinance.Ticker("TTE.PA")


#2.Retrieving Stock Information
total_energies.info


#3.Holders
total_energies.major_holders
total_energies.institutional_holders


#4.Actions
total_energies.actions

total_energies.dividends
df = pd.DataFrame(total_energies.dividends)
df_new = df.groupby(['Date']).agg({'Dividends': 'sum'}).reset_index()
df_new['Date_in_Datetime'] = pd.to_datetime(df_new['Date'])
df_new['Year'] = df_new['Date_in_Datetime'].dt.year
df_converted= df_new.groupby(['Year']).agg({'Dividends': 'sum'}).reset_index()

import matplotlib.pyplot as plt #plot the dividends by years
plt.figure(figsize=(10, 6))
plt.bar(df_converted['Year'], df_converted['Dividends'])
plt.xlabel('Year')
plt.ylabel('Total Dividends')
plt.title('Dividends by Year')
plt.show()


total_energies.splits


#5.Financial Statements
total_energies.income_stmt
total_energies.quarterly_income_stmt

total_energies.balance_sheet
total_energies.quarterly_balance_sheet

total_energies.cash_flow
total_energies.quarterly_cashflow

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#QuantStats: Portfolio analytics for quants
%matplotlib inline
import quantstats as qs


# extend pandas functionality with metrics, etc.
qs.extend_pandas()

# fetch the daily returns for a stock
stock = qs.utils.download_returns('TTE.PA')
stock


# show sharpe ratio
qs.stats.sharpe(stock)


# or using extend_pandas() :)
stock.sharpe()


#Visualize stock performance
qs.plots.snapshot(stock, title='TotalEnergies Performance', show=True)