shashankvemuri

import yfinance as yf
import datetime as dt
from pandas_datareader import data as pdr
import matplotlib.pyplot as plt
import numpy as np
import matplotlib.ticker as mticker
yf.pdr_override()

sma = 50
limit = 30

shashankvemuri

import numpy as np
import warnings
from pandas_datareader import data as pdr
import yfinance as yf
import datetime as dt
from yahoo_fin import stock_info as si
import pandas as pd
pd.set_option('display.max_rows', None)
warnings.filterwarnings("ignore")
yf.pdr_override()

shashankvemuri

def get_top_abs_correlations(df):
    au_corr = df.corr().abs().unstack()
    labels_to_drop = get_redundant_pairs(df)
    au_corr = au_corr.drop(labels=labels_to_drop).sort_values(ascending=False)
    return au_corr

print("\nTop Absolute Correlations")
print(get_top_abs_correlations(stocks_returns))

shashankvemuri

def get_redundant_pairs(df):
    pairs_to_drop = set()
    cols = df.columns
    for i in range(0, df.shape[1]):
        for j in range(0, i+1):
            pairs_to_drop.add((cols[i], cols[j]))
    return pairs_to_drop

def get_top_abs_correlations(df):
    au_corr = df.corr().abs().unstack()

shashankvemuri

dataset = pdr.get_data_yahoo(tickers, start, end)['Adj Close']
stocks_returns = np.log(dataset/dataset.shift(1))

print('\nCorrelation Matrix')
corr_matrix = stocks_returns.corr()
print (corr_matrix)

shashankvemuri

import numpy as np
import warnings
from pandas_datareader import data as pdr
import yfinance as yf
import datetime as dt
from yahoo_fin import stock_info as si
import pandas as pd
pd.set_option('display.max_rows', None)
warnings.filterwarnings("ignore")
yf.pdr_override()

shashankvemuri

# Importing necessary libraries
import time
import pandas as pd
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.chrome.service import Service
from webdriver_manager.chrome import ChromeDriverManager
from selenium.webdriver.common.by import By
from pandas_datareader import data as pdr
import yfinance as yf

shashankvemuri

import pandas as pd
import numpy as np
from bs4 import BeautifulSoup as soup
from urllib.request import Request, urlopen

pd.set_option('display.max_colwidth', 25)

# Input
symbol = input('Enter a ticker: ')
print ('Getting data for ' + symbol + '...\n')

shashankvemuri

def get_fundamentals():
    try:
        # Find fundamentals table
        fundamentals = pd.read_html(str(html), attrs = {'class': 'snapshot-table2'})[0]
        
        # Clean up fundamentals dataframe
        fundamentals.columns = ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9', '10', '11']
        colOne = []
        colLength = len(fundamentals)
        for k in np.arange(0, colLength, 2):

shashankvemuri

import pandas as pd
import numpy as np
from bs4 import BeautifulSoup as soup
from urllib.request import Request, urlopen

pd.set_option('display.max_colwidth', 25)

# Input
symbol = input('Enter a ticker: ')
print ('Getting data for ' + symbol + '...\n')