def main():
inputPositions = input('Please give a list of shares that you would like to buy. The input can be something like [1, 10, 100, 1000]. Type in \'quit\' to quit the program.\n')
if inputPositions == 'quit':
return
# check 1st input string
checkInput(inputPositions)
# convert 1st input string to a list
inputStrSplit = inputPositions[1:-1].strip().split(',')
shares_list = []
for share in inputStrSplit:
shares_list.append(int(share))
# check 2nd input string
num_trails = input('Please give a number of trails that you would like to simulate. For example, 10000.Type in \'quit\' to quit the program.\n')
if num_trails == 'quit':
return
# run Investment class
print('Calculating...')
inv = Investment(shares_list, int(num_trails))
inv.calcPositionValue()
inv.calcCumulativeReturn()
inv.calcDailyReturn()
inv.calcDailyReturnMean()
inv.calcDailyReturnStd()
inv.saveResults()
print('Done. Results are saved.')
def calcCumulativeReturn(self):
inv = Investment('[1, 10, 100, 1000]', 100, 17)
inv.setSeed()
inv.calcPositionValue()
inv.calcCumulativeReturn()
inv.calcDailyReturn()
inv.calcDailyReturnMean()
self.assertEqual(np.round(inv.daily_mean, 4), np.array([0.1, 0.024, 0.0212, 0.0177]))
def calcCumulativeReturn(self):
inv = Investment('[1, 10, 100, 1000]', 100, 17)
inv.setSeed()
inv.calcPositionValue()
inv.calcCumulativeReturn()
inv.calcDailyReturn()
inv.calcDailyReturnMean()
self.assertEqual(np.round(inv.daily_mean, 4),
np.array([0.1, 0.024, 0.0212, 0.0177]))
def calcCumulativeReturn(self):
inv = Investment('[1, 10, 100, 1000]', 100, 17)
inv.setSeed()
inv.calcPositionValue()
inv.calcCumulativeReturn()
inv.calcDailyReturn()
inv.calcDailyReturnMean()
inv.calcDailyReturnStd()
self.assertEqual(inv.daily_std, np.array([0.995 , 0.3829, 0.1005, 0.0346]))
def calcCumulativeReturn(self):
inv = Investment('[1, 10, 100, 1000]', 100, 17)
inv.setSeed()
inv.calcPositionValue()
inv.calcCumulativeReturn()
inv.calcDailyReturn()
inv.calcDailyReturnMean()
inv.calcDailyReturnStd()
self.assertEqual(inv.daily_std,
np.array([0.995, 0.3829, 0.1005, 0.0346]))
