def get_link(ticker_symbol, page=None):
"""
Gets the article for the target ticker symbol
:param ticker_symbol: The ticker symbol of the interested stock (e.g., "AAPL", "GOOG", "MSFT")
:param page: html tree structure based on the html markup of the scraped website
:return: a string of the percentage of bearish sentiment as listed on a stock's StockTwits page
"""
if page is None:
page = scrape_page(BLOOMBERG_URL + ticker_symbol)
sentiment = page.xpath(LINK_XPATH)
if not sentiment:
return None
else:
return sentiment[0].replace("\n", "")
def get_bullish_sentiment(ticker_symbol, page=None):
"""
Gets the bullish sentiment of the target ticker symbol
:param ticker_symbol: The ticker symbol of the interested stock (e.g., "AAPL", "GOOG", "MSFT")
:param page: html tree structure based on the html markup of the scraped website
:return: a string of the pe rcentage of bullish sentiment as listed on a stock's StockTwit's page
"""
if page is None:
page = scrape_page(BASE_URL + ticker_symbol)
sentiment = page.xpath(BULLISH_SENTIMENT_XPATH)
if not sentiment:
return None
else:
return sentiment[0].replace("\n", "") + " Bullish"
def get_sentiment(ticker_symbol, page=None):
"""
Gets both the bullish and bearish sentiment of the target ticker symbol
:param ticker_symbol: The ticker symbol of the interested stock (e.g., "AAPL", "GOOG", "MSFT")
:param page: html tree structure based on the html markup of the scraped website
:return: a tuple of strings containing both the bullish and bearish sentiment as listed on a stock's
StockTwits page
"""
if page is None:
page = scrape_page(BASE_URL + ticker_symbol)
#get strings
bullish_sentiment = get_bullish_sentiment(ticker_symbol, page)
bearish_sentiment = get_bearish_sentiment(ticker_symbol, page)
price = get_price(ticker_symbol, page)
name = get_name(ticker_symbol, page)
title = get_title(ticker_symbol, page)
article = get_article(ticker_symbol, page)
link = get_link(ticker_symbol, page)
my_trader = Robinhood()
logged_in = my_trader.login(username=username, password=password)
description = my_trader.get_fundamentals(ticker_symbol)
news = my_trader.get_news(ticker_symbol)
#see strings for verification
#print(bullish_sentiment);
#print(bearish_sentiment);
#find digits in string
bull = int(''.join(list(filter(str.isdigit, bullish_sentiment))))
bear = int(''.join(list(filter(str.isdigit, bearish_sentiment))))
#price=int(''.join(list(filter(str.isdigit, price))))
#print(bull)
#print(bear)
return Response({
"bullish": bull,
"bearish": bear,
"price": price,
"name": name,
"description": description,
"news": news
})
'''