def lookup(stock):
stock_data.append(finviz.get_stock(stock))
analyst_raw = {}
analyst_raw['symbol'] = stock
analyst_raw['info'] = finviz.get_analyst_price_targets(stock)
analyst_data.append(analyst_raw)
def database_function(UI, symbol):
analyst_ratings = finviz.get_analyst_price_targets(symbol)
infos = finviz.get_stock(symbol)
wv, mv = infos['Volatility'].split(" ")[0], infos['Volatility'].split(
" ")[1]
dic = [
symbol, infos['Price'], infos['Target Price'], infos['P/E'],
infos['Change'], infos['Perf Week'], infos['Perf Month'],
infos['Perf Quarter'], infos['Perf Half Y'], infos['Perf Year'], wv, mv
]
for i in range(len(UI.info)):
UI.info[i]["text"] = dic[i]
vol = float(mv.strip("%")) * 0.158745
price = float(infos['Price'])
price_1, price_2 = database(symbol, 900, price, vol)
for j in range(max(len(analyst_ratings), 5)):
a = analyst_ratings[j]
te = "Date: {} Analyst: {} Rating: {} Price from: {} to {}".format(
a["date"], a["analyst"], a["rating"], a["price_from"],
a["price_to"])
UI.ratings[j]["text"] = te
# UI.Labels["text"] = " Symbol: {} Last Price: {} Weekly Volitality: {}% Monthly Volitality: {}%".format(symbol, cur_price,vol,day_vol)
#UI.status['text'] ="Downloading options data"
UI.loadoptions(symbol, price_1, price_2, price)
UI.Data["state"] = "normal"
def analyst_df(ticker: str) -> DataFrame:
"""[summary]
Parameters
----------
ticker : str
Stock ticker
Returns
-------
DataFrame
[description]
"""
try:
d_finviz_analyst_price = finviz.get_analyst_price_targets(ticker)
df_fa = pd.DataFrame.from_dict(d_finviz_analyst_price)
df_fa.set_index("date", inplace=True)
except Exception as e:
print(e)
print(
"Encountered a potential connectivity issue trying to access Finviz."
)
return df_fa
def get_price_targets(ticker):
try:
targets = finviz.get_analyst_price_targets(ticker)
targets = pd.DataFrame(targets)
targets.columns = [
'Date', 'Category', 'Analyst', 'Rating', 'Price From', 'Price To'
]
targets = targets.set_index('Date')
return targets
except Exception as e:
return e
def analyst_df(s_ticker: str) -> DataFrame:
try:
d_finviz_analyst_price = finviz.get_analyst_price_targets(s_ticker)
df_fa = pd.DataFrame.from_dict(d_finviz_analyst_price)
df_fa.set_index("date", inplace=True)
except Exception as e:
print(e)
print(
"Encountered a potential connectivity issue trying to access Finviz."
)
return df_fa
def get_analyst_data(ticker: str) -> DataFrame:
"""Get analyst data. [Source: Finviz]
Parameters
----------
ticker : str
Stock ticker
Returns
-------
df_fa: DataFrame
Analyst price targets
"""
d_finviz_analyst_price = finviz.get_analyst_price_targets(ticker)
df_fa = pd.DataFrame.from_dict(d_finviz_analyst_price)
df_fa.set_index("date", inplace=True)
return df_fa
def analyst(l_args, s_ticker):
parser = argparse.ArgumentParser(
prog='analyst',
description=
"""Print analyst prices and ratings of the company. The following fields
are expected: date, analyst, category, price from, price to, and rating.
[Source: Finviz]""")
(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_analyst_price = finviz.get_analyst_price_targets(s_ticker)
df_fa = pd.DataFrame.from_dict(d_finviz_analyst_price)
df_fa.set_index("date", inplace=True)
print(df_fa)
print("")
'openInterest', 'percentChange', 'ask', 'bid','volume', 'lastTradeDate', ]
res, dates = get_first_option(symbol)
ls = []
print("Processing date:",
"{: %Y-%m-%d}".format(datetime.fromtimestamp(dates[0] + 1)))
add_options_to_list(res, ls)
#now add the remaining ones.
for i in range(1, len(dates)):
print("Processing date:",
"{: %Y-%m-%d}".format(datetime.fromtimestamp(dates[i] + 1)))
res = get_option(symbol, dates[i])
add_options_to_list(res, ls)
df = pd.DataFrame(ls, columns=cols)
df.to_csv(symbol + "_options.csv", index=False)
# symbol = sys.argv[1]
# get_all_options(symbol)
import finviz
print(finviz.get_analyst_price_targets('AAPL'))
# print(finviz.get_stock('AMD'))
# print(finviz.get_news('AAPL')[-5:])
from main import Portfolio
import finviz
import json
portfolio1 = Portfolio("StockFund")
portfolio1.addStocks('TSLA', 4)
portfolio1.addStocks('CAT', 1)
print(str(portfolio1.name))
portfolio1.calculateEarnings(portfolio1.stocks)
finvizResults = str(
finviz.get_analyst_price_targets('CAT')[0]['date']) + ", Firm: " + str(
finviz.get_analyst_price_targets('CAT')[0]
['analyst']) + ", Rating: " + str(
finviz.get_analyst_price_targets('CAT')[0]['rating'])
print(finvizResults)
#print(finvizResults['Price'])
import sys
sys.path.insert(0, 'finviz')
import finviz
result = finviz.get_analyst_price_targets(sys.argv[1])
for x in range(len(result)):
print(result[x])
def analyst_df(s_ticker: str) -> DataFrame:
d_finviz_analyst_price = finviz.get_analyst_price_targets(s_ticker)
df_fa = pd.DataFrame.from_dict(d_finviz_analyst_price)
df_fa.set_index("date", inplace=True)
return df_fa
def response():
return finviz.get_analyst_price_targets(ticker)
