def getStockInfoList(ticker_symbol_list):
stock = YahooFinancials(ticker_symbol_list)
stock_info = stock.get_stock_price_data()
return_info = dict()
result = dict()
weeks_ago = (datetime.datetime.today() -
datetime.timedelta(days=14)).strftime('%Y-%m-%d')
tomorrow = (datetime.datetime.today() +
datetime.timedelta(days=1)).strftime('%Y-%m-%d')
stock_price = stock.get_historical_stock_data(weeks_ago, tomorrow, "daily")
for i in range(len(ticker_symbol_list)):
fullname = stock_info[ticker_symbol_list[i]]['longName']
return_info['symbol'] = ticker_symbol_list[i]
return_info['company'] = fullname
return_info['quantity'] = 0
for j in range(5):
return_info.setdefault('dates', []).append(stock_price[
ticker_symbol_list[i]]['prices'][j]['formatted_date'])
return_info.setdefault('prices', []).append(
stock_price[ticker_symbol_list[i]]['prices'][j]['close'])
result.setdefault('stocks', []).append(return_info)
return_info = {}
return result
def get_stock_prices():
global stock_dict
global stream
while True:
print("#### UPDATING STOCK PRICES")
current = YahooFinancials(stocks)
stock_dict = current.get_stock_price_data()
print("#### DONE UPDATING STOCK PRICES")
time.sleep(600)
def defaultapi(ticker):
tick = YF(ticker)
print(tick.get_stock_summary_data())
print(mark)
print(tick.get_stock_quote_type_data())
print(mark)
print(tick.get_stock_price_data())
print(mark)
print(tick.get_current_price())
print(mark)
print(tick.get_dividend_rate())
try:
r = tick._cache.keys()
except AttributeError:
pass
else:
print(mark)
print(r)
def extraction(output_data, WATCHLIST):
# Run Yahoo API with 1 indexes at a time.
# can run multiple as well
n = 1
for category in WATCHLIST:
category_name = category.pop(0)
output_data.append(category_name)
while len(category) > 0:
index_to_search = category[0:n]
category = category[n:]
process_from_yahoo = YahooFinancials(index_to_search)
result_data = process_from_yahoo.get_stock_price_data()
extract(output_data, result_data)
# append an empty column to use that to add a row in excel
output_data.append(" ")
print(t)
yesterday = today - datetime.timedelta(days=1)
y = str(yesterday.year) + '-' + str(yesterday.month) + '-' + str(yesterday.day)
print(y)
# open file a read contents to a list
f = open(str(path) + 'StockList.txt.txt')
try:
tickers = list(f)
finally:
f.close()
# iterate list of tickers
for ticker in tickers:
ticker = ticker.rstrip("\n")
print('Ticker: ' + ticker)
#tsla_df.head()p
ticker_path = (str(path) + str(ticker) + '.csv')
if os.path.exists(ticker_path):
print("File exist")
else:
print("File does not exist pulling all historical data")
yahoo_financials = YahooFinancials(ticker)
yahoo_financials.get_stock_price_data(reformat=True)
data = yahoo_financials.get_historical_price_data(
start_date='1900-01-01', end_date=t, time_interval='daily')
tsla_df = pd.DataFrame(data[ticker]['prices'])
tsla_df = tsla_df.drop('date', axis=1).set_index('formatted_date')
tsla_df.to_csv(ticker_path, header=True)
tsla_df['close'][135]
len(tsla_df)
import yahoo-finance
from yahoo_finance import Share
yahoo = Share('YHOO')
yahoo.get_price()
>>> print yahoo.get_open()
yahoo_finance.Share("SBI.NSE")
symbol = yahoo_finance.Share("GOOG")
google_data = symbol.get_historical("2019-06-01", "2019-06-30")
google_df = pd.DataFrame(google_data)
# Output data into CSV
google_df.to_csv("/home/username/google_stock_data.csv")
#
pip install yahoofinancials
from yahoofinancials import YahooFinancials
tech_stocks = ['AAPL', 'MSFT', 'INTC']
bank_stocks = ['WFC', 'BAC', 'C']
yahoo_financials_tech = YahooFinancials(tech_stocks)
yahoo_financials_banks = YahooFinancials(bank_stocks)
yahoo_financials_tech
ech_cash_flow_data_an = yahoo_financials_tech.get_financial_stmts('annual', 'cash')
bank_cash_flow_data_an = yahoo_financials_banks.get_financial_stmts('annual', 'cash')
banks_net_ebit = yahoo_financials_banks.get_ebit()
tech_stock_price_data = yahoo_financials_tech.get_stock_price_data()
daily_bank_stock_prices = yahoo_financials_banks.get_historical_price_data('2008-09-15', '2018-09-15', 'daily')
daily_bank_stock_prices
#https://pypi.org/project/yahoofinancials/
def pull_yahoo_data(stock_tickers):
yahoo_list = []
for i in stock_tickers:
yh = YahooFinancials(i)
yahoo_list.append(yh.get_stock_price_data())
return yahoo_list
