def price_stream_alert():
""" Function for streaming the price
"""
w = SGXDataExtract()
w.process_all_data()
#make this to excel table for easier
#group together
price_limit_reach_watchlist = [
['OV8', 0.83, 'greater'],
['OV8', 0.78, 'lower'],
['P13', 0.19, 'lower'],
['O23', 1.65, 'lower'],
['C2PU', 2.20, 'lower'],
['U96', 4.55, 'lower'],
['BS6', 1.46, 'greater'],
['U96', 4.42, 'lower'],
['BN4', 9.60, 'greater'],
['S05', 0.9, 'greater'],
['N4E', 0.355, 'greater'],
['BS6', 1.35, 'lower'],
['U96', 4.35, 'lower'],
['T12', 0.341, 'lower'],
['BS6', 1.39, 'lower'],
['AGS', 0.85, 'greater'],
['N4E', 0.33, 'lower'],
['B2F', 3.65, 'greater'],
['S63', 3.48, 'lower'],
['AGS', 0.819, 'greater'],
['B2F', 3.4, 'lower'],
['J69U', 2.02, 'lower'],
['S63', 3.75, 'lower'],
['C22', 1.1, 'lower'],
]
w.set_stock_to_watchlist(price_limit_reach_watchlist,
watchlist_type='curr_price')
api_key_path = r'C:\Users\356039\Desktop\running bat\pushbullet_api\key.txt'
with open(api_key_path, 'r') as f:
apiKey = f.read()
p = PushBullet(apiKey)
## for price set alert
w.scan_price_limit_alert()
if len(w.price_limit_alerts_df) > 0:
p.pushNote('all',
'Price alert',
w.price_limit_alerts_df.to_string(),
recipient_type="random1")
print 'completed'
def price_stream_alert():
""" Function for streaming the price
"""
w = SGXDataExtract()
w.process_all_data()
# make this to excel table for easier
# group together
price_limit_reach_watchlist = [
["OV8", 0.83, "greater"],
["OV8", 0.78, "lower"],
["P13", 0.19, "lower"],
["O23", 1.65, "lower"],
["C2PU", 2.20, "lower"],
["U96", 4.55, "lower"],
["BS6", 1.46, "greater"],
["U96", 4.42, "lower"],
["BN4", 9.60, "greater"],
["S05", 0.9, "greater"],
["N4E", 0.355, "greater"],
["BS6", 1.35, "lower"],
["U96", 4.35, "lower"],
["T12", 0.341, "lower"],
["BS6", 1.39, "lower"],
["AGS", 0.85, "greater"],
["N4E", 0.33, "lower"],
["B2F", 3.65, "greater"],
["S63", 3.48, "lower"],
["AGS", 0.819, "greater"],
["B2F", 3.4, "lower"],
["J69U", 2.02, "lower"],
["S63", 3.75, "lower"],
["C22", 1.1, "lower"],
]
w.set_stock_to_watchlist(price_limit_reach_watchlist, watchlist_type="curr_price")
api_key_path = r"C:\Users\356039\Desktop\running bat\pushbullet_api\key.txt"
with open(api_key_path, "r") as f:
apiKey = f.read()
p = PushBullet(apiKey)
## for price set alert
w.scan_price_limit_alert()
if len(w.price_limit_alerts_df) > 0:
p.pushNote("all", "Price alert", w.price_limit_alerts_df.to_string(), recipient_type="random1")
print "completed"
def shortsell_notification(self):
""" Use for alerts on shortsell information.
Identify top ten short sell plus target stock short sell information.
"""
## get the current price df so can combined with the shortsell info
self.process_all_data()
merged_shortsell_df = pandas.merge(
self.shortsell_info_df, self.sgx_curr_price_df, left_on="Security", right_on="CompanyName"
)
## add in additional columns
merged_shortsell_df["shortsell_vol_per"] = (
merged_shortsell_df["Short Sale Volume"] / merged_shortsell_df["DailyVolume"]
)
merged_shortsell_df["ranked_percent_vol_shortsell"] = merged_shortsell_df["shortsell_vol_per"].rank(
method="min", ascending=False
)
top_shortsell_df = merged_shortsell_df[merged_shortsell_df["ranked_shortsell"].isin(range(1, 16))]
top_shortsell_df = top_shortsell_df.sort(columns="ranked_shortsell", ascending=True)
top_shortsell_df = top_shortsell_df[["Security", "Short Sale Volume", "shortsell_lastdate"]]
shortsell_top15_shtver = top_shortsell_df.to_string()
api_key_path = r"C:\Users\356039\Desktop\running bat\pushbullet_api\key.txt"
with open(api_key_path, "r") as f:
apiKey = f.read()
p = PushBullet(apiKey)
if shortsell_top15_shtver:
p.pushNote("all", "Shortsell top10", shortsell_top15_shtver, recipient_type="random1")
## display for target watchlist
tar_watchlist_shortsell_df = merged_shortsell_df[
merged_shortsell_df["Security"].isin(self.companyname_watchlist)
]
tar_watchlist_shortsell_df = tar_watchlist_shortsell_df[
["Security", "Short Sale Volume", "ranked_shortsell", "shortsell_vol_per", "ranked_percent_vol_shortsell"]
]
tar_watchlist_shortsell_df = tar_watchlist_shortsell_df[
tar_watchlist_shortsell_df["ranked_shortsell"].isin(range(1, 100))
]
tar_watchlist_shortsell_df = tar_watchlist_shortsell_df.sort(columns="ranked_shortsell", ascending=True)
tar_watchlist_shortsell_shtver = tar_watchlist_shortsell_df.to_string()
if tar_watchlist_shortsell_shtver:
p.pushNote("all", "Shortsell targetwatchlist", tar_watchlist_shortsell_shtver, recipient_type="random1")
def retrieve_and_notify(self):
""" Send notification of the required data. Required pushbullet account.
"""
self.process_all_data()
self.joined_relevent_sgx_data()
print 'list of company going ex date in 7 days'
self.get_company_going_ex_date(7)
#make this to user defined target.
#cannot remove as depend on scheduling
# hence self.announce_watchlist will not take effect.
#get from excel
## target_stock_list = ['E28','564','C2PU','S6NU','P07', 'SV3U',
## '573','544','P40U',
## 'P13','S19','P07','E02', 'BN4','BS6','U96','J69U','S05', 'AGS',
## 'N4E','AJBU','T8JU','O23','T12',
## 'OV8','500', 'SV3U']
print 'target announcmenet'
self.filter_key_announcement(self.announce_watchlist)
from pyPushBullet.pushbullet import PushBullet
api_key_path = r'C:\Users\356039\Desktop\running bat\pushbullet_api\key.txt'
with open(api_key_path, 'r') as f:
apiKey = f.read()
p = PushBullet(apiKey)
# to send all- change the recipent_type to arbitiary text
p.pushNote('all',
'Ex Date Info',
self.div_ex_date_shtver,
recipient_type="random1")
if self.filtered_announ_shtver:
p.pushNote('all',
'Announcement Info',
self.filtered_announ_shtver,
recipient_type="random1")
## for price set alert
self.retrieve_curr_price_df()
self.scan_price_limit_alert()
if len(self.price_limit_alerts_df) > 0:
p.pushNote('all',
'Price alert',
self.price_limit_alerts_df.to_string(),
recipient_type="random1")
def shortsell_notification(self):
""" Use for alerts on shortsell information.
Identify top ten short sell plus target stock short sell information.
"""
## get the current price df so can combined with the shortsell info
self.process_all_data()
merged_shortsell_df = pandas.merge(self.shortsell_info_df,
self.sgx_curr_price_df,
left_on='Security',
right_on='CompanyName')
## add in additional columns
merged_shortsell_df['shortsell_vol_per'] = merged_shortsell_df[
'Short Sale Volume'] / merged_shortsell_df['DailyVolume']
merged_shortsell_df[
'ranked_percent_vol_shortsell'] = merged_shortsell_df[
'shortsell_vol_per'].rank(method='min', ascending=False)
top_shortsell_df = merged_shortsell_df[
merged_shortsell_df['ranked_shortsell'].isin(range(1, 16))]
top_shortsell_df = top_shortsell_df.sort(columns='ranked_shortsell',
ascending=True)
top_shortsell_df = top_shortsell_df[[
'Security', 'Short Sale Volume', 'shortsell_lastdate'
]]
shortsell_top15_shtver = top_shortsell_df.to_string()
api_key_path = r'C:\Users\356039\Desktop\running bat\pushbullet_api\key.txt'
with open(api_key_path, 'r') as f:
apiKey = f.read()
p = PushBullet(apiKey)
if shortsell_top15_shtver:
p.pushNote('all',
'Shortsell top10',
shortsell_top15_shtver,
recipient_type="random1")
## display for target watchlist
tar_watchlist_shortsell_df = merged_shortsell_df[
merged_shortsell_df['Security'].isin(self.companyname_watchlist)]
tar_watchlist_shortsell_df = tar_watchlist_shortsell_df[[
'Security', 'Short Sale Volume', 'ranked_shortsell',
'shortsell_vol_per', 'ranked_percent_vol_shortsell'
]]
tar_watchlist_shortsell_df = tar_watchlist_shortsell_df[
tar_watchlist_shortsell_df['ranked_shortsell'].isin(range(1, 100))]
tar_watchlist_shortsell_df = tar_watchlist_shortsell_df.sort(
columns='ranked_shortsell', ascending=True)
tar_watchlist_shortsell_shtver = tar_watchlist_shortsell_df.to_string()
if tar_watchlist_shortsell_shtver:
p.pushNote('all',
'Shortsell targetwatchlist',
tar_watchlist_shortsell_shtver,
recipient_type="random1")
def retrieve_and_notify(self):
""" Send notification of the required data. Required pushbullet account.
"""
self.process_all_data()
self.joined_relevent_sgx_data()
print "list of company going ex date in 7 days"
self.get_company_going_ex_date(7)
# make this to user defined target.
# cannot remove as depend on scheduling
# hence self.announce_watchlist will not take effect.
# get from excel
## target_stock_list = ['E28','564','C2PU','S6NU','P07', 'SV3U',
## '573','544','P40U',
## 'P13','S19','P07','E02', 'BN4','BS6','U96','J69U','S05', 'AGS',
## 'N4E','AJBU','T8JU','O23','T12',
## 'OV8','500', 'SV3U']
print "target announcmenet"
self.filter_key_announcement(self.announce_watchlist)
from pyPushBullet.pushbullet import PushBullet
api_key_path = r"C:\Users\356039\Desktop\running bat\pushbullet_api\key.txt"
with open(api_key_path, "r") as f:
apiKey = f.read()
p = PushBullet(apiKey)
# to send all- change the recipent_type to arbitiary text
p.pushNote("all", "Ex Date Info", self.div_ex_date_shtver, recipient_type="random1")
if self.filtered_announ_shtver:
p.pushNote("all", "Announcement Info", self.filtered_announ_shtver, recipient_type="random1")
## for price set alert
self.retrieve_curr_price_df()
self.scan_price_limit_alert()
if len(self.price_limit_alerts_df) > 0:
p.pushNote("all", "Price alert", self.price_limit_alerts_df.to_string(), recipient_type="random1")
