def analyze_moving_averages(self, market_pair, exchange):
ma_analyzer = MovingAverages()
period_count = self.ma_config["period_count"]
historical_data = self.__exchange_interface.get_historical_data(
market_pair=market_pair,
exchange=exchange,
period_count=period_count,
time_unit=self.ma_config["time_unit"])
sma_value = ma_analyzer.get_sma_value(period_count, historical_data)
ema_value = ma_analyzer.get_ema_value(period_count, historical_data)
is_sma_trending = ma_analyzer.is_sma_trending(
sma_value, self.ma_config["sma_threshold"])
is_ema_trending = ma_analyzer.is_ema_trending(
ema_value, self.ma_config["ema_threshold"])
ma_data = {
'sma_value': sma_value,
'ema_value': ema_value,
'is_sma_trending': is_sma_trending,
'is_ema_trending': is_ema_trending
}
return ma_data
def analyze_sma(self, market_pair, exchange, hot_thresh=0, cold_thresh=0):
ma_analyzer = MovingAverages()
period_count = 15
historical_data = self.day_historical_data[0:period_count]
sma_value = ma_analyzer.get_sma_value(period_count, historical_data)
is_sma_trending = ma_analyzer.is_sma_trending(sma_value, hot_thresh)
sma_data = {
'values': (sma_value,),
'is_hot': is_sma_trending,
'is_cold': False
}
return sma_data