def get_news_markdown(ticker_symbol, count):
"""
Returns a markdown text string which has `count` top news sources.
Parameters
----------
ticker_symbol: str
Stock Ticker Sumbol Value
count: int
Number of news items to return
Returns
-------
joined_str: str
String containing markdown news sources
"""
news = finviz.get_news(ticker_symbol)[:count]
joined_str = ''
i = 1
for news_item in news:
title = news_item[0]
url = news_item[1]
joined_str += str(i) + '. [' + title + '](' + url + ')\n'
i += 1
return joined_str
def news(l_args, s_ticker):
parser = argparse.ArgumentParser(
prog='news',
description=
"""Prints latest news about company, including title and web link.
[Source: Finviz]""")
parser.add_argument('-n',
"--num",
action="store",
dest="n_num",
type=check_positive,
default=5,
help='Number of latest news being printed.')
(ns_parser, l_unknown_args) = parser.parse_known_args(l_args)
if l_unknown_args:
print(
f"The following args couldn't be interpreted: {l_unknown_args}\n")
return
d_finviz_news = finviz.get_news(s_ticker)
i = 0
for s_news_title, s_news_link in {*d_finviz_news}:
print(f"-> {s_news_title}")
print(f"{s_news_link}\n")
i += 1
if i > (ns_parser.n_num - 1):
break
print("")
def scrape(request):
# scraping for ticker name
company = request.GET['company']
r = requests.get(
'https://www.marketwatch.com/tools/quotes/lookup.asp?siteID=mktw&Lookup='
+ company + '&Country=All&Type=All')
soup = bs4.BeautifulSoup(r.text, "lxml")
table = soup.find('div', class_='results')
rows = table.find_all('td', class_='bottomborder')
use = rows[0].text
ticker = yf.Ticker(use)
# converting into csv and json files
hist = ticker.history(period="max")
hist.to_csv('hist.csv')
hist.to_json('hist.json')
# Scraping details from Yahoo finance
l = requests.get('https://in.finance.yahoo.com/quote/' + use + '?p=' +
use + '&.tsrc=fin-srch')
soup2 = bs4.BeautifulSoup(l.text, "lxml")
div1 = soup2.find('div', class_='Mt(15px)').text
div1_1 = soup2.find(
'div',
class_=
'quote-header-section Cf Pos(r) Mb(5px) Maw($maxModuleWidth) Miw($minGridWidth) smartphone_Miw(ini) Miw(ini)!--tab768 Miw(ini)!--tab1024 Mstart(a) Mend(a) Px(20px) smartphone_Pb(0px) smartphone_Mb(0px)'
)
div2_1 = div1_1.find('div',
class_='My(6px) Pos(r) smartphone_Mt(6px)').text
# plotting graph of close price
df = pd.read_csv('hist.csv', )
df['movavg'] = df['Close'].rolling(window=30).mean()
fig = plt.line(df,
x='Date',
y='Close',
title='Detailed Graph',
hover_name='Date')
fig.add_scatter(x=df['Date'],
y=df['movavg'],
mode='lines',
name='Moving Average')
fig.add_scatter(x=df['Date'], y=df['Open'], mode='lines', name='Open')
fig.add_scatter(x=df['Date'], y=df['High'], mode='lines', name='High')
fig.add_scatter(x=df['Date'], y=df['Low'], mode='lines', name='Low')
fig.add_scatter(x=df['Date'],
y=df['Volume'],
mode='lines',
name='Volume',
visible='legendonly')
graph = fig.to_html(full_html=False)
#Scraping for sentiment analysis
# data preprocessing
news = finviz.get_news(use)
df = pd.DataFrame(news, columns=['text', 'link'])
df.to_csv("News.csv") # news data scraped and saved to csv file
return render(request, "userhome.html", {
'div1': div1,
'div2_1': div2_1,
'graph': graph
})
def get_news(ticker):
try:
news = finviz.get_news(ticker)
news = pd.DataFrame(news, columns=['Headline', 'Link'])
news = news.set_index('Headline')
return news
except Exception as e:
return e
def get_news(ticker: str) -> List[Any]:
"""Get news from Finviz
Parameters
----------
ticker : str
Stock ticker
Returns
-------
List[Any]
News
"""
return finviz.get_news(ticker)
def get_news(ticker: str) -> Dict:
"""Get news from Finviz
Parameters
----------
ticker : str
Stock ticker
Returns
-------
Dict
News
"""
return finviz.get_news(ticker)
def news(other_args: List[str], ticker: str):
"""Display news for a given stock ticker
Parameters
----------
other_args : List[str]
argparse other args - ["-n", "10"]
ticker : str
Stock ticker
"""
parser = argparse.ArgumentParser(
add_help=False,
prog="news",
description="""
Prints latest news about company, including title and web link. [Source: Finviz]
""",
)
parser.add_argument(
"-n",
"--num",
action="store",
dest="n_num",
type=check_positive,
default=5,
help="Number of latest news being printed.",
)
try:
ns_parser = parse_known_args_and_warn(parser, other_args)
if not ns_parser:
return
d_finviz_news = finviz.get_news(ticker)
i = 0
for s_news_title, s_news_link in {*d_finviz_news}:
print(f"-> {s_news_title}")
print(f"{s_news_link}\n")
i += 1
if i > (ns_parser.n_num - 1):
break
print("")
except Exception as e:
print(e)
print("")
return
def news(l_args, s_ticker):
parser = argparse.ArgumentParser(
add_help=False,
prog="news",
description="""
Prints latest news about company, including title and web link. [Source: Finviz]
""",
)
parser.add_argument(
"-n",
"--num",
action="store",
dest="n_num",
type=check_positive,
default=5,
help="Number of latest news being printed.",
)
try:
ns_parser = parse_known_args_and_warn(parser, l_args)
if not ns_parser:
return
d_finviz_news = finviz.get_news(s_ticker)
i = 0
for s_news_title, s_news_link in {*d_finviz_news}:
print(f"-> {s_news_title}")
print(f"{s_news_link}\n")
i += 1
if i > (ns_parser.n_num - 1):
break
print("")
except Exception as e:
print(e)
print("")
return
async def get_stock_news(stock: str):
try:
news = finviz.get_news(stock)
return {"success": True, "news": news[0:5]}
except requests.exceptions.HTTPError:
return {"success": False, "message": "Not Found"}
def response():
return finviz.get_news(ticker)
import sys
sys.path.insert(0, 'finviz')
import finviz
result = finviz.get_news(sys.argv[1])
for x in range(len(result)):
print(result[x])
