def get_watchlist_symbols():
"""
Returns: Tickers for stocks on the watchlist
"""
watchlist_names = []
tickers = []
# diction = robin.get_all_watchlists(info=None)
# specific WatchList to evaluate (can also do all if remove)
watchlist = 'My First List'
for name in robin.get_all_watchlists(info="results"):
watchlist_names.append(name["display_name"])
# Can iterate through all watchlists, but this is set for a specific
for name in watchlist_names:
if name == watchlist:
print("NAME", name, "------------------------------------------")
lists = robin.account.get_watchlist_by_name(name)["results"]
# print("Lists", lists)
# print("TESTING", lists[1].get('instrument'))
for item in lists:
tickers.append(item.get('symbol'))
# TODO why would I need to do it by url??
# instrument_data = robin.get_instrument_by_url(
# item.get('instrument'))
# symbol = instrument_data['symbol']
# tickers.append(symbol)
return tickers
def get_watchlist_symbols():
"""
Returns: the symbol for each stock in your watchlist as a list of strings
"""
my_list_names = []
symbols = []
for name in r.get_all_watchlists(info='name'):
my_list_names.append(name)
for name in my_list_names:
list = r.get_watchlist_by_name(name)
for item in list:
instrument_data = r.get_instrument_by_url(item.get('instrument'))
symbol = instrument_data['symbol']
symbols.append(symbol)
return symbols
us_holidays = holidays.UnitedStates()
'''
Robinhood includes dividends as part of your net gain. This script removes
dividends from net gain to figure out how much your stocks/options have paid
off.
Note: load_portfolio_profile() contains some other useful breakdowns of equity.
Print profileData and see what other values you can play around with.
'''
#!!! Fill out username and password
username = '******'
password = '******'
#!!!
login = r.login(username, password)
hey = r.get_all_watchlists()
print()
print(hey)
stockList = r.build_holdings()
stocksArray = []
stocknumber = 0
class trajectory:
#print info to console
debug = True
#ideal slope for trajectory calculations
#compositon of slope score (percentages)