def main_func(self, cutoff):
StocksController = NasdaqController(True)
list_of_tickers = StocksController.getList()
currentDate = datetime.datetime.strptime(
date.today().strftime("%Y-%m-%d"), "%Y-%m-%d")
start_time = time.time()
for x in tqdm(list_of_tickers):
d = (self.find_anomalies_two(self.getData(x), cutoff))
if d['Dates']:
for i in range(len(d['Dates'])):
if self.days_between(str(currentDate)[:-9], str(d['Dates'][i])) <= 3:
self.customPrint(d, x)
def main_func(self, cutoff):
StocksController = NasdaqController(True)
list_of_tickers = StocksController.getList()
currentDate = datetime.datetime.strptime(
date.today().strftime("%Y-%m-%d"), "%Y-%m-%d")
start_time = time.time()
manager = multiprocessing.Manager()
positive_scans = manager.list()
with parallel_backend('loky', n_jobs=multiprocessing.cpu_count()):
Parallel()(delayed(self.parallel_wrapper)(x, cutoff, currentDate, positive_scans) for x in tqdm(list_of_tickers) )
print("\n\n\n\n--- this took %s seconds to run ---" %
(time.time() - start_time))
return positive_scans
def main_func(self):
positive_scans = True
StocksController = NasdaqController(True)
list_of_tickers = StocksController.getList()
currentDate = datetime.datetime.strptime(
date.today().strftime("%Y-%m-%d"), "%Y-%m-%d")
start_time = time.time()
if (config.SEND_EMAIL):
EmailResults.SendMessage("Bot started working", "BOT LOG",
config.send_to_log_email)
pass
else:
print("Bot started working")
manager = multiprocessing.Manager()
positive_scans = manager.list()
if (config.RUN_BOT):
with parallel_backend('loky', n_jobs=multiprocessing.cpu_count()):
Parallel()(delayed(self.parallel_wrapper)(x, currentDate,
positive_scans)
for x in tqdm(list_of_tickers, miniters=1))
else:
#This is to debug main process with just one stock
self.parallel_wrapper("TSLA", currentDate, positive_scans)
body = ""
if (os.path.isfile(R'data\botAnalysisHistory.csv')):
yesterdays_score = Testing.backTestYesterdaysResults()
body = "Yesterdays score was a " + str(yesterdays_score) + "!"
body += "\n---This bot took " + str(
(time.time() - start_time) / 60) + " Minutes to run.---"
if (config.SEND_EMAIL):
EmailResults.SendMessage(body, "BOT LOG", config.send_to_log_email)
else:
print(body)
print(len(positive_scans))
#self.writeToCsv(positive_scans)
return positive_scans
autopct='%1.1f%%',
shadow=True,
startangle=90,
textprops={
'fontsize': 17,
'weight': 'bold'
})
plt.title('Calls vs. Puts')
print(spacer)
# get all stock tickers
#from get_all_tickers import get_tickers as gt
#list_of_tickers = gt.get_tickers(NYSE=True, NASDAQ=True, AMEX=True)
StocksController = NasdaqController(True)
list_of_tickers = StocksController.getList()
tickerList = []
r_item = [
'A', 'ON', 'IT', 'FOR', 'AT', 'ARE', 'BE', 'ALL', 'SO', 'GO', 'OR', 'CAN',
'HE', 'NOW', 'OUT', 'AN', 'HAS', 'BY', 'ONE', 'SEE', 'GOOD', 'BIG', 'ANY',
'NEW', 'AM', 'NEXT', 'WELL', 'PUMP', 'EVER', 'RUN', 'VERY', 'PLAY', 'DD',
'POST', 'ELSE', 'LOVE', 'TELL', 'BEST', 'LIFE', 'HOPE', 'TWO', 'NICE',
'BIT', 'MAN', 'TRUE', 'FUN', 'LOW', 'TECH', 'CAR', 'STAY', 'EOD', 'JOB',
'FLAT', 'OLD', 'RTX', 'HOME', 'OW', 'JOE', 'BEAT', 'WOW', 'X', 'ATH',
'SAVE', 'EAT', 'HUGE', 'PER', 'LIVE', 'CARE', 'PEAK', 'TURN', 'PLUS',
'HEAR', 'GAIN', 'BRO', 'RH', 'JUST', 'NEED', 'KNOW'
]
def main():
spacer = "\n\n************************************\n\n"
reddit = praw.Reddit(client_id=secret.client_id,
client_secret=secret.client_secret,
user_agent=secret.user_agent)
start = time.time()
print(spacer)
subreddit = reddit.subreddit("wallstreetbets")
print("Accessing: " + subreddit.display_name.upper())
print("Getting posts / comments from " + subreddit.display_name.upper())
print(spacer)
masterSET = []
commentCounter = 0
toolbar_width = 25
# setup toolbar
sys.stdout.write("[%s]" % (" " * toolbar_width))
sys.stdout.flush()
# return to start of line, after '['
sys.stdout.write("\b" * (toolbar_width + 1))
for submission in subreddit.hot(limit=25): # .hot, .new
for sub in submission.title.upper().split(" "):
masterSET.append(sub)
commentCounter += 1
submission.comments.replace_more(limit=25)
for comment in submission.comments.list():
for sub2 in comment.body.upper().split(" "):
masterSET.append(sub2)
commentCounter += 1
sys.stdout.write("-")
sys.stdout.flush()
sys.stdout.write("]\n") # this ends the progress bar
print("Analyzing")
print(spacer)
callCount = sum('CALL' in s for s in masterSET)
putCount = sum('PUT' in s for s in masterSET)
print("Call Count: " + str(callCount))
print("Put Count: " + str(putCount))
print("Total Comments Analyzed: " + str(commentCounter))
sentiment = "WSB is "
print(spacer)
if (callCount > putCount):
sentiment += "BULLISH by " + \
str(round(100*(callCount/(callCount + putCount)), 1)) + "%"
else:
sentiment += "BEARISH by " + \
str(round(100*(putCount/(callCount + putCount)), 1)) + "%"
print(sentiment)
"""
slices = [callCount, putCount]
names = ['Calls', 'Puts']
colors = ['springgreen', 'lightcoral']
plt.figure(0)
plt.pie(slices, labels=names, colors=colors, autopct='%1.1f%%',
shadow=True, startangle=90, textprops={'fontsize': 17, 'weight': 'bold'})
plt.title('Calls vs. Puts')
"""
print(spacer)
# get all stock tickers
# from get_all_tickers import get_tickers as gt
# list_of_tickers = gt.get_tickers(NYSE=True, NASDAQ=True, AMEX=True)
StocksController = NasdaqController(True)
list_of_tickers = StocksController.getList()
tickerList = []
r_item = [
'A', 'ON', 'IT', 'FOR', 'AT', 'ARE', 'BE', 'ALL', 'SO', 'GO', 'OR',
'CAN', 'HE', 'NOW', 'OUT', 'AN', 'HAS', 'BY', 'ONE', 'SEE', 'GOOD',
'BIG', 'ANY', 'NEW', 'AM', 'NEXT', 'WELL', 'PUMP', 'EVER', 'RUN',
'VERY', 'PLAY', 'DD', 'POST', 'ELSE', 'LOVE', 'TELL', 'BEST', 'LIFE',
'HOPE', 'TWO', 'NICE', 'BIT', 'MAN', 'TRUE', 'FUN', 'LOW', 'TECH',
'CAR', 'STAY', 'EOD', 'JOB', 'FLAT', 'OLD', 'RTX', 'HOME', 'OW', 'JOE',
'BEAT', 'WOW', 'X', 'ATH', 'SAVE', 'EAT', 'HUGE', 'PER', 'LIVE',
'CARE', 'PEAK', 'TURN', 'PLUS', 'HEAR', 'GAIN', 'BRO', 'RH', 'JUST',
'NEED', 'KNOW'
]
main_list = [
item for item in masterSET if item in list_of_tickers
if item not in r_item
]
most_occur = Counter(main_list).most_common(12)
mainFrame = pd.DataFrame(most_occur)
mainFrame.columns = ['Ticker', 'Frequency']
# temp = mainFrame.plot(kind='bar', x='Ticker', y='Frequency')
plt.figure(figsize=(15, 7))
dateformat = date.today().strftime("%B %d, %Y")
# dateformat = "July 24, 2020"
ax = sb.barplot(x='Ticker', y='Frequency', data=mainFrame)
plt.title("WSB DAILY: THE MOST POPULAR TICKERS ON R/WSB TODAY",
fontsize=20)
annotation = ('--------- Summary ---------\n' + sentiment + '\nCalls: ' +
str(callCount) + '\nPuts: ' + str(putCount) + '\nAnalyzed ' +
str(commentCounter) + ' comments' + '\nToday is: ' +
dateformat + '\n---------------------------')
plt.text(0.9,
0.5,
annotation,
horizontalalignment='center',
verticalalignment='top',
transform=ax.transAxes)
plt.subplots_adjust(left=0.06,
bottom=0.07,
right=0.97,
top=0.94,
wspace=None,
hspace=None)
print(spacer)
end = time.time()
print("Run time: " + str(round(end - start, 2)) + " seconds")
fileTitle = datetime.today().strftime('"%m-%d-%Y"')
fileTitle = fileTitle[1:-1]
plt.savefig('history/' + fileTitle + '.png')