def export_completed_stock_orders(dir_path, file_name=None):
"""Write all completed orders to a csv file
:param dir_path: Absolute or relative path to the directory the file will be written.
:type dir_path: str
:param file_name: An optional argument for the name of the file. If not defined, filename will be stock_orders_{current date}
:type file_name: Optional[str]
"""
file_path = create_absolute_csv(dir_path, file_name, 'stock')
all_orders = orders.get_all_stock_orders()
with open(file_path, 'w', newline='') as f:
csv_writer = writer(f)
csv_writer.writerow([
'symbol', 'date', 'order_type', 'side', 'fees', 'quantity',
'average_price'
])
for order in all_orders:
if order['state'] == 'filled' and order['cancel'] is None:
csv_writer.writerow([
stocks.get_symbol_by_url(order['instrument']),
order['last_transaction_at'], order['type'], order['side'],
order['fees'], order['quantity'], order['average_price']
])
f.close()
def get_top_movers(info=None):
"""Returns a list of the Top 20 movers on Robin Hood.
:param info: Will filter the results to get a specific value.
:type info: Optional[str]
:returns: Returns a list of dictionaries of key/value pairs for each mover. If info parameter is provided, \
a list of strings is returned where the strings are the value of the key that matches info.
:Dictionary Keys: * ask_price
* ask_size
* bid_price
* bid_size
* last_trade_price
* last_extended_hours_trade_price
* previous_close
* adjusted_previous_close
* previous_close_date
* symbol
* trading_halted
* has_traded
* last_trade_price_source
* updated_at
* instrument
"""
url = urls.movers_top()
data = helper.request_get(url, 'regular')
data = helper.filter(data, 'instruments')
symbols = [stocks.get_symbol_by_url(x) for x in data]
data = stocks.get_quotes(symbols)
return(helper.filter(data, info))
def export_completed_stock_orders(file_path):
"""Write all completed orders to a csv file
:param file_path: absolute path to the location the file will be written.
:type file_path: str
"""
all_orders = orders.get_all_stock_orders()
with open(
f"{file_path}stock_orders_{dt.date.today().strftime('%b-%d-%Y')}.csv",
'w',
newline='') as f:
writer = csv.writer(f)
writer.writerow([
'symbol', 'date', 'order_type', 'side', 'fees', 'quantity',
'average_price'
])
for order in all_orders:
if order['state'] == 'filled' and order['cancel'] is None:
writer.writerow([
stocks.get_symbol_by_url(order['instrument']),
order['last_transaction_at'], order['type'], order['side'],
order['fees'], order['quantity'], order['average_price']
])
f.close()
def get_top_movers(info=None):
"""Returns a list of the Top 20 movers on Robin Hood.
:type info: Optional[str]
:returns: Returns a list of dictionaries of key/value pairs for each mover. If info parameter is provided, \
a list of strings is returned where the strings are the value of the key that matches info.
"""
url = urls.movers_top()
data = helper.request_get(url, 'regular')
data = helper.filter(data, 'instruments')
symbols = [stocks.get_symbol_by_url(x) for x in data]
data = stocks.get_quotes(symbols)
return(helper.filter(data, info))
def get_all_stocks_from_market_tag(tag, info=None):
"""Returns all the stock quote information that matches a tag category.
:param tag: The category to filter for. Examples include 'biopharmaceutical', 'upcoming-earnings', 'most-popular-under-25', and 'technology'.
:type tag: str
:param info: Will filter the results to get a specific value.
:type info: Optional[str]
:returns: Returns a list of dictionaries of key/value pairs for each mover. If info parameter is provided, \
a list of strings is returned where the strings are the value of the key that matches info.
:Dictionary Keys: * ask_price
* ask_size
* bid_price
* bid_size
* last_trade_price
* last_extended_hours_trade_price
* previous_close
* adjusted_previous_close
* previous_close_date
* symbol
* trading_halted
* has_traded
* last_trade_price_source
* updated_at
* instrument
"""
url = urls.market_category(tag)
data = helper.request_get(url, 'regular')
data = helper.filter(data, 'instruments')
if not data:
print('ERROR: "{}" is not a valid tag'.format(tag),
file=helper.get_output())
return [None]
symbols = [stocks.get_symbol_by_url(x) for x in data]
data = stocks.get_quotes(symbols)
return (helper.filter(data, info))