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rebot.py
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import requests
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from requests import get
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from bs4 import BeautifulSoup
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import pandas
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import itertools
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import streamlit as st
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def net_operating(rent, tax_rate, price):
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#Takes input as monthly mortgage amount and monthly rental amount
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#Uses managment expense, amount for repairs, vacancy ratio
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#Example input: net_operating(1000,1,400,200)
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#879.33
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#1000 - 16.67 (tax) - 100 (managment) - 4 (repairs)
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mortgage_amt = mortgage_monthly(price,20,3)
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prop_managment = rent * 0.10
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prop_tax = (price * (tax_rate/100)/12)
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prop_repairs = (price * 0.02)/12
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vacancy = (rent*0.02)
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#These sections are a list of all the expenses used and formulas for each
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net_income = rent - prop_managment - prop_tax - prop_repairs - vacancy - mortgage_amt
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#Summing up expenses
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output = [prop_managment, prop_tax, prop_repairs, vacancy, net_income]
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return output
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def down_payment(price,percent):
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#This function takes the price and the downpayment rate and returns the downpayment amount
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#Ie down_payment(100,20) returns 20
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amt_down = price*(percent/100)
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return(amt_down)
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def mortgage_monthly(price,years,percent):
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#This implements an approach to finding a monthly mortgage amount from the purchase price,
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#years and percent.
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#Sample input: (300000,20,4) = 2422
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#
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percent = percent /100
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down = down_payment(price,20)
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loan = price - down
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months = years*12
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interest_monthly = percent/12
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interest_plus = interest_monthly + 1
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exponent = (interest_plus)**(-1*months)
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subtract = 1 - exponent
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division = interest_monthly / subtract
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payment = division * loan
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return(payment)
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#to do
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def price_mine(pid):
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#Currently this function takes an input of a URL and returns the listing prices
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#The site it mines is remax
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#The input must be a string input, we can reformat the input to force this to work
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#Next we use regex to remove space and commas and dollar signs
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#need to get from a product id to a price
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prices = 0
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prices = float(prices)
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return prices
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def cap_rate(monthly_income, price):
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#This function takes net income, and price and calculates the cap rate
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#
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cap_rate = ((monthly_income*12) / price)*100
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return cap_rate
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def cash_on_cash(monthly_income, down_payment):
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cash_return = ((monthly_income*12)/down_payment)*100
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return cash_return
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# trial = input("Enter a URL to a Remax listing: ")
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# rent_amt = input("Enter the monthly rent price: ")
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# property_tax = input("Enter the tax rate: ")
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#We have to change these generic inputs to streamlit inputs
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rent_amt = st.sidebar.text_input("Enter the monthly rent price: ")
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property_tax = st.sidebar.text_input("Enter the tax rate: ")
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rent_amt = float(rent_amt)
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property_tax = float(property_tax)
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listing_notice = price_mine(1)
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mortgage = mortgage_monthly(listing_notice, 20, 3)
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cash = down_payment(listing_notice, 20)
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net_income = net_operating(rent_amt, property_tax , listing_notice)
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monthly_cash = net_income[4]
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cap_return = cap_rate(monthly_cash,listing_notice)
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cash_percent = cash_on_cash(monthly_cash,cash)
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# net_operating(rent, tax_rate, mortgage_amt, price):
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# print("INPUT: ")
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# print("The price of: ", listing_notice)
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# print("The monthly rent of : ", rent_amt)
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# print("The tax rate of : ", property_tax)
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# print("OUTPUTS: ")
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# print("Monthly mortgage of : ",mortgage)
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# print("Net operating income: ", net_income)
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# print("Cap rate of: ", cap_return," % ")
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# print("Cash return rate of: ", cash_percent, " % ")
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#We have to convert the above outputs to streamlit outputs
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