def is6hEMA1226Bull(self):
try:
if isinstance(self.ema1226_6h_cache, pd.DataFrame):
df_data = self.ema1226_6h_cache
elif self.exchange == 'coinbasepro':
api = CBPublicAPI()
df_data = api.getHistoricalData(self.market, 21600)
self.ema1226_6h_cache = df_data
elif self.exchange == 'binance':
api = BPublicAPI()
df_data = api.getHistoricalData
self.ema1226_6h_cache = df_data(self.market, '6h')
else:
return False
ta = TechnicalAnalysis(df_data)
if 'ema12' not in df_data:
ta.addEMA(12)
if 'ema26' not in df_data:
ta.addEMA(26)
df_last = ta.getDataFrame().copy().iloc[-1, :]
df_last['bull'] = df_last['ema12'] > df_last['ema26']
return bool(df_last['bull'])
except Exception:
return False
def getHistoricalData(self,
market,
granularity,
iso8601start='',
iso8601end=''):
if self.exchange == 'coinbasepro':
api = CBPublicAPI()
return api.getHistoricalData(market, granularity, iso8601start,
iso8601end)
elif self.exchange == 'binance':
api = BPublicAPI()
if iso8601start != '' and iso8601end != '':
return api.getHistoricalData(
market, granularity,
str(
datetime.strptime(
iso8601start,
'%Y-%m-%dT%H:%M:%S.%f').strftime('%d %b, %Y')),
str(
datetime.strptime(
iso8601end,
'%Y-%m-%dT%H:%M:%S.%f').strftime('%d %b, %Y')))
else:
return api.getHistoricalData(market, granularity)
else:
return pd.DataFrame()
def is1hSMA50200Bull(self):
try:
if self.isSimulation() and isinstance(self.sma50200_1h_cache,
pd.DataFrame):
df_data = self.sma50200_1h_cache
if self.exchange == 'coinbasepro':
api = CBPublicAPI()
df_data = api.getHistoricalData(self.market, 3600)
self.sma50200_1h_cache = df_data
elif self.exchange == 'binance':
api = BPublicAPI()
df_data = api.getHistoricalData(self.market, '1h')
self.sma50200_1h_cache = df_data
else:
return False
ta = TechnicalAnalysis(df_data)
if 'sma50' not in df_data:
ta.addSMA(50)
if 'sma200' not in df_data:
ta.addSMA(200)
df_last = ta.getDataFrame().copy().iloc[-1, :]
df_last['bull'] = df_last['sma50'] > df_last['sma200']
return bool(df_last['bull'])
except Exception:
return False
def getHistoricalData(self,
market,
granularity: int,
iso8601start='',
iso8601end=''):
if self.exchange == 'coinbasepro':
api = CBPublicAPI()
if iso8601start != '' and iso8601end == '':
return api.getHistoricalData(
market, to_coinbase_pro_granularity(granularity),
iso8601start)
elif iso8601start != '' and iso8601end != '':
return api.getHistoricalData(
market, to_coinbase_pro_granularity(granularity),
iso8601start, iso8601end)
else:
return api.getHistoricalData(
market, to_coinbase_pro_granularity(granularity))
elif self.exchange == 'binance':
api = BPublicAPI()
if iso8601start != '' and iso8601end != '':
return api.getHistoricalData(
market, to_binance_granularity(granularity), iso8601start,
iso8601end)
else:
return api.getHistoricalData(
market, to_binance_granularity(granularity))
else:
return pd.DataFrame()
def getTicker(self, market):
if self.exchange == 'coinbasepro':
api = CBPublicAPI()
return api.getTicker(market)
elif self.exchange == 'binance':
api = BPublicAPI()
return api.getTicker(market)
else:
return None
def getTime(self):
if self.exchange == 'coinbasepro':
return CBPublicAPI().getTime()
elif self.exchange == 'binance':
try:
return BPublicAPI().getTime()
except ReadTimeoutError:
return ''
else:
return ''
def is6hSMA50200Bull(self):
try:
if self.exchange == 'coinbasepro':
api = CBPublicAPI()
df_data = api.getHistoricalData(self.market, 21600)
elif self.exchange == 'binance':
api = BPublicAPI()
df_data = api.getHistoricalData(self.market, '6h')
else:
return False
ta = TechnicalAnalysis(df_data)
ta.addSMA(50)
ta.addSMA(200)
df_last = ta.getDataFrame().copy().iloc[-1, :]
df_last['bull'] = df_last['sma50'] > df_last['sma200']
return bool(df_last['bull'])
except Exception:
return False
def is1hEMA1226Bull(self):
try:
if self.exchange == 'coinbasepro':
api = CBPublicAPI()
df_data = api.getHistoricalData(self.market, 3600)
elif self.exchange == 'binance':
api = BPublicAPI()
df_data = api.getHistoricalData(self.market, '1h')
else:
return False
ta = TechnicalAnalysis(df_data)
ta.addEMA(12)
ta.addEMA(26)
df_last = ta.getDataFrame().copy().iloc[-1, :]
df_last['bull'] = df_last['ema12'] > df_last['ema26']
return bool(df_last['bull'])
except Exception:
return False
def is6hEMA1226Bull(self, iso8601end: str = ''):
try:
if self.isSimulation() and isinstance(self.ema1226_6h_cache,
pd.DataFrame):
df_data = self.ema1226_6h_cache[(self.ema1226_6h_cache['date']
<= iso8601end)]
elif self.exchange == 'coinbasepro':
api = CBPublicAPI()
df_data = api.getHistoricalData(self.market, 21600)
self.ema1226_6h_cache = df_data
elif self.exchange == 'binance':
api = BPublicAPI()
df_data = api.getHistoricalData(self.market, '6h')
self.ema1226_6h_cache = df_data
else:
return False
ta = TechnicalAnalysis(df_data)
if 'ema12' not in df_data:
ta.addEMA(12)
if 'ema26' not in df_data:
ta.addEMA(26)
df_last = ta.getDataFrame().copy().iloc[-1, :]
df_last['bull'] = df_last['ema12'] > df_last['ema26']
Logger.debug("---- EMA1226 6H Check----")
if self.isSimulation():
Logger.debug("simdate: " + str(df_last['date']))
Logger.debug("ema12 6h: " + str(df_last['ema12']))
Logger.debug("ema26 6h: " + str(df_last['ema26']))
Logger.debug("bull 6h: " +
str(df_last['ema12'] > df_last['ema26']))
return bool(df_last['bull'])
except Exception:
return False
def is1hSMA50200Bull(self, iso8601end: str = ''):
try:
if self.isSimulation() and isinstance(self.sma50200_1h_cache,
pd.DataFrame):
df_data = self.sma50200_1h_cache[(
self.sma50200_1h_cache['date'] <= iso8601end)]
elif self.exchange == 'coinbasepro':
api = CBPublicAPI()
df_data = api.getHistoricalData(self.market, 3600)
self.sma50200_1h_cache = df_data
elif self.exchange == 'binance':
api = BPublicAPI()
df_data = api.getHistoricalData(self.market, '1h')
self.sma50200_1h_cache = df_data
else:
return False
ta = TechnicalAnalysis(df_data)
if 'sma50' not in df_data:
ta.addSMA(50)
if 'sma200' not in df_data:
ta.addSMA(200)
df_last = ta.getDataFrame().copy().iloc[-1, :]
Logger.debug("---- SMA50200 1H Check----")
if self.isSimulation():
Logger.debug("simdate: " + str(df_last['date']))
Logger.debug("sma50 1h: " + str(df_last['sma50']))
Logger.debug("sma200 1h: " + str(df_last['sma200']))
Logger.debug("bull 1h: " +
str(df_last['sma50'] > df_last['sma200']))
df_last['bull'] = df_last['sma50'] > df_last['sma200']
return bool(df_last['bull'])
except Exception:
return False
def isCryptoRecession(self):
try:
if self.exchange == 'coinbasepro':
api = CBPublicAPI()
df_data = api.getHistoricalData(self.market, 86400)
elif self.exchange == 'binance':
api = BPublicAPI()
df_data = api.getHistoricalData(self.market, '1d')
else:
return False # if there is an API issue, default to False to avoid hard sells
if len(df_data) <= 200:
return False # if there is unsufficient data, default to False to avoid hard sells
ta = TechnicalAnalysis(df_data)
ta.addSMA(50)
ta.addSMA(200)
df_last = ta.getDataFrame().copy().iloc[-1, :]
df_last['crypto_recession'] = df_last['sma50'] < df_last['sma200']
return bool(df_last['crypto_recession'])
except Exception:
return False
maker_fee_rate = float(
fees["maker_fee_rate"].to_string(index=False).strip()
)
taker_fee_rate = float(
fees["taker_fee_rate"].to_string(index=False).strip()
)
if len(orders) > 0:
last_order = orders.iloc[-1:]
last_buy_order = last_order[last_order.action == "buy"]
last_buy_order = last_buy_order.reset_index(drop=True)
if len(last_buy_order) > 0:
print(last_buy_order.to_string(index=False))
api = CBPublicAPI()
ticker = api.getTicker(market)
current_price = ticker[1]
market = last_buy_order["market"].to_string(index=False).strip()
buy_type = last_buy_order["type"].to_string(index=False).strip()
buy_size = round(
float(last_buy_order["size"].to_string(index=False).strip()), 8
)
buy_filled = round(
float(last_buy_order["filled"].to_string(index=False).strip()),
8,
)
buy_fees = round(
float(last_buy_order["fees"].to_string(index=False).strip()), 8
)
