def start_trading(self, Tmode=False):
global ml
now = datetime.datetime.now(TZ)
Notify.info("Trading has begun")
self.logger.info("Trading has begun")
count = 1
if not Tmode:
while now.time() < self.pack_up or self.is_dev_mode:
try:
for trader in self.traders:
trader.run()
self.logger.info(f"Completed round {count}")
sleep(self.period)
except Exception as e:
Notify.fatal("Trading has been aborted")
self.logger.critical(
"Trade abort due to unexpected error : ", e)
quit(0)
finally:
now = datetime.datetime.now(TZ)
count += 1
else:
Notify.info("Confirming access to live stock price...")
self.logger.info("Confirming access to live stock price...")
for trader in self.traders:
try:
get_live_price(trader.ticker)
except Exception as e:
Notify.fatal(
"Error in fetching live stock price. Aborting")
self.logger.critical(
"Error in fetching live stock price : ", e)
def start_trading(self, Tmode=False):
global ml
now = datetime.datetime.now(TZ)
Notify.info("Trading has begun")
ml.info("Trading has begun")
count = 1
if not Tmode:
while now.time() < PACK_UP or DEV_MODE:
try:
for trader in self.traders:
trader.run()
ml.info("Completed round #", count)
sleep(PERIOD_INTERVAL)
except Exception as e:
Notify.fatal("Trading has been aborted")
ml.critical("Trade abort due to unexpected error : ", e)
quit(0)
finally:
now = datetime.datetime.now(TZ)
count += 1
else:
Notify.info("Confirming access to live stock price...")
ml.info("Confirming access to live stock price...")
for trader in self.traders:
try:
get_live_price(trader.ticker)
except Exception as e:
Notify.fatal(
"Error in fetching live stock price. Aborting")
ml.critical("Error in fetching live stock price : ", e)
def get_initial_data(self):
try:
self.price.append(get_live_price(self.ticker))
self.logger.debug("Successfully fetched live price")
except SysCallError:
Notify.warn(
f"[Trader #{self.number} {self.ticker}]: Encountered SysCallError while initialising parameters, trying recursion"
)
self.logger.warning("Encountered SysCallError, trying recursion")
self.get_initial_data()
except Exception as e:
Notify.warn(
f"[Trader #{self.number} {self.ticker}]: Exception in getting initial data, trying recursion"
)
self.logger.error("Trying recursion due to uncommon Exception : ",
e)
self.get_initial_data()
def update_price(self):
try:
new_price = get_live_price(self.ticker)
self.price.append(new_price)
self.logger.info(
"Successfully fetched price, local database updated")
except SysCallError:
Notify.warn(
f"[Trader #{self.number} {self.ticker}] : Encountered SysCallError in updating price, trying recursion"
)
self.logger.warning(
"Encountered SysCallError while fetching live price, trying recursion"
)
self.update_price()
except Exception as e:
Notify.warn(
f"[Trader #{self.number} {self.ticker}] : Exception in updating price, trying recursion"
)
self.logger.error(
"Trying recursion, encountered uncommon exception : ", e)
self.update_price()
def fetch_stocks():
"""
Find relevant stocks to focus on for trading
Returns:
Deque of tickers of relevant stocks
"""
global ml
# url to grab data from
url = f'https://finance.yahoo.com/gainers?count={NUM_OF_STOCKS_TO_SEARCH}'
# request header
headers = {
'user-agent':
'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/79.0.3945.130 Safari/537.36'
}
try:
src = requests.get(url=url, headers=headers).content
except Exception as e:
src = None
Notify.fatal(
"Trade abort due to unexpected error. Check activity log for details"
)
master_logger.critical("Encountered error : ", e)
quit(0)
# soup object of source code
soup = BeautifulSoup(src, "html.parser")
rows = soup.find('table').tbody.find_all('tr')
# initialisations
stocks_temp = dict()
# check previous day's closing status
prev_data = json.loads(open("database/user_info.json").read())
get_sells(stocks_temp, prev_data, "stocks_to_sell")
get_buys(stocks_temp, prev_data, "stocks_to_buy_back")
# set counter
count = len(stocks_temp)
stocks = deque()
# iterate over rows in web page
for tr in rows:
# exit if
if count == NUM_OF_STOCKS_TO_FOCUS:
break
else:
row_data = tr.find_all('td')
ticker = row_data[0].text.strip()
price = get_live_price(ticker)
# split ticker for checking if same stock of different stock exchange is selected or not
stock_name = ""
stock_ex = "US"
stock_name = ticker #ticker.split(".")
if price >= PENNY_STOCK_THRESHOLD and stock_name not in stocks_temp:
stocks_temp[stock_name] = stock_ex
count += 1
# get back ticker
for stock in stocks_temp:
stocks.append(f"{stock}")
# stocks.append(f"{stock}.{stocks_temp[stock]}")
# return deque of stocks to focus on
return stocks