I have this below code that calculates DEMA [Double Exponential Moving Average] based on the close price import backtrader as bt import pandas as pd class CalculateDema: def __init__(self, data, period): self.period = period self.data = data close = [] for i in self.data: close.append(i) self.df = pd.DataFrame(close) #self.df.reset_index(drop=True) def calculate_ema(self, data, period): return data.ewm(span=period, adjust=False).mean() def calculate_dema(self): ema1 = self.calculate_ema(self.df, self.period) ema2 = self.calculate_ema(ema1, self.period) dema = (2 * ema1) - ema2 dema_df = pd.DataFrame(dema) #dema_df = dema_df.reset_index(drop=True, inplace=True) #dema_df.set_index(drop=True) return dema Below is the code that gets the data returned to main funtion and tries to do a comparison dema = CalculateDema(data = self.dataclose, period = self.p.period) self.dema = dema.calculate_dema() Below is the output if i print self.dema[0] 0 56258.620924 1 56140.770683 2 56064.450842 3 56025.820675 4 55990.549055 ... 1496 56300.308681 1497 56291.186529 1498 56289.345639 1499 56289.648383 1500 56278.184361 Name: 0, Length: 1501, dtype: float64 Below is the code that checks whether close price is greater than or equal to dema and performs some operation if (self.dataclose[0] >= self.dema[0] and self.dataclose[0] >= self.donchian.dcm[0]): do something and at this point I am getting the below error if (self.dataclose[0] >= self.dema[0] and self.dataclose[0] >= self.donchian.dcm[0]): ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\My Drive\Python_\zero\Lib\site-packages\pandas\core\generic.py", line 1577, in __nonzero__ raise ValueError( ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all(). Continue reading...
