def analyze_rsi(self, market_pair, period_count=1000, time_unit='1h'):
rsi_analyzer = RelativeStrengthIndex()
historical_data = self.exchange_interface.get_historical_data(
market_pair=market_pair,
period_count=period_count,
time_unit=time_unit)
rsi_value = rsi_analyzer.find_rsi(historical_data, period_count)
return rsi_value
def analyze_rsi(self, coin_pair, period_count=18, time_unit='1h'):
rsi_analyzer = RelativeStrengthIndex()
historical_data = self.exchange_aggregator.get_historical_data(
coin_pair=coin_pair,
period_count=period_count,
time_unit=time_unit
)
rsi_value = rsi_analyzer.find_rsi(historical_data)
return rsi_value
def analyze_rsi(self, market_pair, exchange, hot_thresh=0, cold_thresh=0):
rsi_analyzer = RelativeStrengthIndex()
period_count = 14
historical_data = self.day_historical_data[0:period_count]
rsi_value = rsi_analyzer.get_rsi_value(historical_data, period_count)
is_overbought = rsi_value >= cold_thresh
is_oversold = rsi_value <= hot_thresh
rsi_data = {
'values': (rsi_value,),
'is_cold': is_overbought,
'is_hot': is_oversold
}
return rsi_data
def analyze_rsi(self, market_pair, exchange):
rsi_analyzer = RelativeStrengthIndex()
historical_data = self.__exchange_interface.get_historical_data(
market_pair=market_pair,
exchange=exchange,
period_count=self.rsi_config['period_count'],
time_unit=self.rsi_config['time_unit'])
rsi_value = rsi_analyzer.get_rsi_value(historical_data,
self.rsi_config['period_count'])
is_overbought = rsi_value >= self.rsi_config['overbought']
is_oversold = rsi_value <= self.rsi_config['oversold']
rsi_data = {
'value': rsi_value,
'is_overbought': is_overbought,
'is_oversold': is_oversold
}
return rsi_data