def __update_history(self):
#Getting current time stamp.
st = datetime.datetime.fromtimestamp(
time.time()).strftime('%Y-%m-%d-%H:%M:%S')
#Stamping the object
self.data['timeStamp'] = str(st)
#Getting the history file related to the market we are using.
history = FileReader.read_history(self.data['marketName'])
#Adding/updating data to history file
history['result'] = StatsGiver.get_market_candles(
self.data["marketName"], "DAY_1")
history['data'].append(self.data)
FileWriter.store_stats(
history, Parser.reverse_trade_string(self.data['marketName']))
time.sleep(1.1)
def create_nodes(self):
wallet = PInfo.get_wallet()
market = Parser.find_market_strings(self.mainCoin,
StatsGiver.get_market_summaries())
#usd = StatsGiver.convert_crypto_to_usd(self.mainCoin, next((x for x in wallet["result"] if x["Currency"] == self.mainCoin), None)["Available"])
investment_data = []
for i in market:
is_ok = False
while (is_ok == False):
if (Parser.is_valid_trade(i['MarketName'])):
data = StatsGiver.get_average_trade_extra(
Parser.reverse_trade_string(i['MarketName']), "DAY_1",
1)
if data != False and data != -1:
GF.pretty_print(data['answer'])
is_ok = True
investment_data.append(data['answer'])
FileWriter.store_stats(data['data']['result'],
i['MarketName'])
if (GF.CONFIG["MODE"] == 0):
time.sleep(2.0)
elif data == -1:
is_ok = False
print("Failed to get data")
if (GF.CONFIG["MODE"] == 0):
time.sleep(15)
else:
is_ok = True
print("NOT A VALID MARKET")
time.sleep(2.0)
else:
is_ok = True
#investment_data = FileReader.get_all_trade_data()
top_investments = []
# Now that I have all the data I need, I am going to loop through and pick out the best investments.
print("RESULTS I WANTED=-=-=-=-=-=-=-=-=-=")
top_investments = investment_data
# Sorting an finding what stats have value.
top_investments.sort(key=lambda x: int(x['nop-profit']))
profit_nop_range = (
float(top_investments[len(top_investments) - 1]['nop-profit']) -
float(top_investments[0]['nop-profit']))
profit_nop_value = 100 / profit_nop_range
top_investments.sort(key=lambda x: float(x['cpi']))
percent_range = (
float(top_investments[len(top_investments) - 1]['cpi']) -
float(top_investments[0]['cpi']))
percent_value = 100 / percent_range
"""top_investments.sort(key=lambda x: int(x['candleLength']))
candle_range = (float(top_investments[len(top_investments) - 1]['candleLength']) - float(top_investments[0]['candleLength']))
candle_value = 100 / candle_range"""
top_investments2 = []
for i in top_investments:
invest_value = (float(i['nop-profit']) * profit_nop_value) + (
float(i['cpi']) * percent_value)
i['investValue'] = invest_value
top_investments2.append(i)
top_investments2.sort(key=lambda x: x['investValue'])
#top_investments2.sort(key=lambda x: x['nop-profit'])
for i in top_investments2:
GF.pretty_print(i)
"""if(GF.CONFIG["MODE"] == 0):