predictor.py

def decider(row):
    if row['Drop 7'] < row['Up 7'] and row['Mean Change 7'] > 0 and row['Change'] > 0:
        return 0 #invest/hold or put in 100 investment if none
    #Withdraw 50%
    elif row['Drop 7'] < row['Up 7'] and row['Mean Change 7'] > 0 and row['Change'] < 0:
        return -50
    #Withdraw 75%
    elif row['Drop 7'] < row['Up 7'] and row['Mean Change 7'] < 0 or row['Change'] < 0:
        return -75
    #invest 50% more
    elif row['Drop 7'] > row['Up 7'] and row['Mean Change 7'] < 0 and row['Change'] > 0:
        return 50
    #all out
    elif row['Drop 7'] > row['Up 7'] and row['Mean Change 7'] < 0 and row['Change'] < 0:
        return -100
    else:
        return 50
df['Predict'] = df.apply(decider, axis=1)
df.head()