def compute_daily_change_for_range(symbol, start_date, end_date):
"""
Computes daily change in value over a range
:param symbol: (String) ticker symbol of the stock
:param start_date: (DateTime)
:param end_date: (DateTime)
:return: (list) List of daily changes
"""
symbol_data = yahoo_finance.get_stock_data(symbol, start_date, end_date)
closing_price = list(symbol_data["Close"])
# Data Integrity
if symbol.lower() in tickers:
closing_price = verify_data_with_quandl(
symbol, start_date, end_date, closing_price)
daily_change = []
if closing_price is None:
return daily_change
for i in range(0, len(closing_price) - 1):
cur = closing_price[i]
daily_change.append(((closing_price[i + 1] - cur) / cur) * 100)
return daily_change
def compute_daily_change_for_past_given_days(symbol, number_of_days_back):
"""
Computes daily change in value
:param symbol: (String) ticker symbol of the stock
:param number_of_days_back: (Int) number of days back from today
:return: (list) List of daily changes
"""
start_date = date.today() - timedelta(days=number_of_days_back)
end_date = date.today()
symbol_data = yahoo_finance.get_stock_data(symbol, start_date, end_date)
closing_price = list(symbol_data["Close"])
# Data Integrity
if symbol.lower() in tickers:
closing_price = verify_data_with_quandl(
symbol, start_date, end_date, closing_price)
daily_change = []
for i in range(0, len(closing_price) - 1):
cur = closing_price[i]
daily_change.append(
((closing_price[i + 1] - cur) / cur) * 100)
return daily_change
def get_stock_volume_traded_for_a_month(symbol):
"""
Gets the volume traded for the specified stock in the last month.
:param symbol: (str)
:return: (list) [ [date1, rri], [date2, rri], .... [date365, rri] ]
"""
start_date = date.today() - timedelta(days=30)
end_date = date.today()
volume_list = yahoo_finance.get_stock_data(
symbol, start_date, end_date)["Volume"]
return volume_list
def compute_daily_change_for_range(symbol, start_date, end_date): """ Parameter: symbol -> ticker symbol of the stock (Type -> String) start_date, end_date -> range you want to compute on (Type -> String) return: list of daily change (Type -> list float) """ symbol_data = yahoo_finance.get_stock_data(symbol, start_date, end_date) closing_price = list(symbol_data["Close"]) daily_change = [] for i in range(0, len(closing_price)-1): daily_change.append(((closing_price[i+1] - closing_price[i])/closing_price[i])*100) return daily_change
def get_price_for_number_of_days_back_from_today(symbol, number_of_days_back):
"""
Returns a list of closing prices
:param symbol: (String) ticker symbol of the stock
:param number_of_days_back: (int) number of days back from today
:return: (float) daily closing prices
"""
start_date = date.today() - timedelta(days=number_of_days_back)
end_date = date.today()
symbol_data = yahoo_finance.get_stock_data(symbol, start_date, end_date)
graphing_tuples = []
value_timestamps = symbol_data.index
values = symbol_data["Close"]
for i in range(len(values)):
graphing_tuples.append((value_timestamps[i], round(values[i], 3)))
return graphing_tuples
def compute_daily_change_for_range(symbol, start_date, end_date):
"""
Parameter: symbol -> ticker symbol of the stock (Type -> String)
start_date, end_date -> range you want to compute on (Type -> String)
return: list of daily change (Type -> list float)
"""
symbol_data = yahoo_finance.get_stock_data(symbol, start_date, end_date)
closing_price = list(symbol_data["Close"])
daily_change = []
for i in range(0, len(closing_price) - 1):
daily_change.append(
((closing_price[i + 1] - closing_price[i]) / closing_price[i]) *
100)
return daily_change
def compute_daily_change_for_past_given_days(symbol, number_of_days_back): """ Parameter: symbol -> ticker symbol of the stock (Type -> String) number_of_days_back -> number of days back from today for which you want the daily change (Type -> integer) return: list of daily change (Type -> list float) """ start_date = date.today() - timedelta(days=number_of_days_back) end_date = date.today() symbol_data = yahoo_finance.get_stock_data(symbol, start_date, end_date) closing_price = list(symbol_data["Close"]) daily_change = [] for i in range(0, len(closing_price)-1): daily_change.append(((closing_price[i+1] - closing_price[i])/closing_price[i])*100) return daily_change
def compute_daily_change_for_past_given_days(symbol, number_of_days_back):
"""
Parameter: symbol -> ticker symbol of the stock (Type -> String)
number_of_days_back -> number of days back from today
for which you want the daily change
(Type -> integer)
return: list of daily change (Type -> list float)
"""
start_date = date.today() - timedelta(days=number_of_days_back)
end_date = date.today()
symbol_data = yahoo_finance.get_stock_data(symbol, start_date, end_date)
closing_price = list(symbol_data["Close"])
daily_change = []
for i in range(0, len(closing_price) - 1):
daily_change.append(
((closing_price[i + 1] - closing_price[i]) / closing_price[i]) *
100)
return daily_change
