Demonstration of the funds_py package

Project Link: github.com/joaopm33/funds_py

Documentation: joaopm33.github.io/fundspy/docs/fundspy.html

Author: Joao Penido Monteiro

Linkedin: linkedin.com/in/joao-penido-monteiro/

1. Import the needed libraries

from fundspy.fundspy import returns, cum_returns, volatility, drawdown, corr_benchmark, beta, alpha, sharpe, sortino, capture_ratio
import pandas as pd
import sqlite3
import plotly.express as px

pd.set_option('display.max_rows', 20)
pd.set_option('display.max_columns', 500)
pd.options.display.float_format = '{:,.4f}'.format

2. Connect to the database

#connects to the database
con = sqlite3.connect(r"investments_database.db")