from pinance import Pinance symbol = "OGEN" stock = Pinance(symbol) stock.get_quotes() print((stock.quotes_data))
alldata = []
try:
for stock in static.equitties_train:
mydata = quandl.get_table('ZACKS/MKTV', ticker=stock)
if len(mydata) > 0:
mydata['date'] = pd.to_datetime(mydata['per_end_date'])
mc = mydata.set_index('date')[['mkt_val'
]].sort_index().iloc[-1]['mkt_val']
alldata.append((stock, round(mc)))
else:
alldata.append((stock, 'nan'))
except:
print(alldata)
#this is the good one
from pinance import Pinance
alldata = []
try:
for stock in static.equitties_train:
share = Pinance(stock)
try:
share.get_quotes()
mc = share.quotes_data['marketCap']
except:
alldata.append((stock, 'nan'))
continue
alldata.append((stock, round(mc / 1000000)))
except:
print(alldata)
from pinance import Pinance
symbol = "VALO.BA"
valo = Pinance("VALO.BA")
edn = Pinance("EDN.BA")
agro = Pinance("AGRO.BA")
valo.get_quotes()
edn.get_quotes()
agro.get_quotes()
print("precio " + valo.quotes_data['longName'] + ": ",
valo.quotes_data['regularMarketPrice'])
print("precio " + edn.quotes_data['longName'] + ": ",
edn.quotes_data['regularMarketPrice'])
print("precio " + agro.quotes_data['longName'] + ": ",
agro.quotes_data['regularMarketPrice'])
print("\nAshishM's trading account has", AshishM_TradingAccount.balance, "dollars.")
# Amount to be allocated for each stock.
stock_allocation = AshishM_TradingAccount.balance/10
print("\nThe amount to be allocated to invest in each of the dogs of the dow stock is", stock_allocation,"dollars.\n")
dogs_of_dow = ["VZ", "IBM", "XOM", "GE", "CVX", "KO", "PG", "PFE", "MRK", "CSCO"]
for each_symbol in dogs_of_dow:
stock_list = Pinance(each_symbol)
symbol = each_symbol
stock = Pinance(symbol)
stock.get_quotes()
# Get price of stocks from dogs_of_dow list.
#dog 1 price
dog1 = dogs_of_dow[0]
print("dog1 is", dog1)
dog1_price = Pinance(dog1)
dog1_price.get_quotes()
dog1price = dog1_price.quotes_data['regularMarketPrice']
print("Price of dog1 is", dog1price,"\n")
#dog 2 price
from time import sleep
from pinance import Pinance
symbols = ["AAPL", "FDX", "MSFT", "AMZN", "GIS"]
while True:
beginning_up = "<message type=\"scroll\" color=\"#00ff00\">"
beginning_down = "<message type=\"scroll\" color=\"#ff0000\">"
end = "</message>"
ups = ""
downs = ""
for i in range(len(symbols)):
stock = Pinance(symbols[i])
stock.get_quotes()
if stock.quotes_data['regularMarketChangePercent'] >= 0:
ups += (stock.quotes_data['symbol'] + " - " + str(stock.quotes_data['postMarketPrice']) + " " + str(
"{0:.2f}".format(stock.quotes_data['regularMarketChangePercent'])) + "% ↑ ")
else:
downs += (stock.quotes_data['symbol'] + " - " + str(stock.quotes_data['postMarketPrice']) + " " + str(
"{0:.2f}".format(stock.quotes_data['regularMarketChangePercent'])) + "% ↓ ")
if ups != "":
file = open("/tmp/led-source-news", 'w')
file.write(beginning_up + ups + end)
file.close()
print(ups)
sleep(60)
if downs != "":
file = open("/tmp/led-source-news", 'w')
from pinance import Pinance
import pandas as pd
stock1 = 'HDFC'
stock2 = 'HDFC.NS'
first = Pinance(stock1)
second = Pinance(stock2)
first.get_quotes()
second.get_quotes()
second.get_news()
df1 = pd.DataFrame(data=first.quotes_data, index=[0])
df2 = pd.DataFrame(data=second.quotes_data, index=[0])
df1 = (df1.T)
df2 = (df2.T)
df1.to_excel("DataQuality\hdfc.xls")
df2.to_excel("DataQuality\hdfcNS.xls")
df3 = pd.DataFrame(data=second.news_data, index=[0])
df3 = (df3.T)
df3.to_excel(r"DataQuality\news.xls")
