class StockAnalysisServer:
def __init__(self):
self.data_reader = DataReader()
self.data_processor = DataProcessor()
def get_expected_stock_return_probablity(self,
ticker_name,
time_horizon,
base_amount,
finalAmount,
historic_data_years=1):
'''
This method computes the probability of the expected return
:param ticker_name: The ticker name the user wishes to return
:param time_horizon:The time horizon the user wishes to invest for
:param base_amount:The base amount the user wishes to start investing with
:param finalAmount:The final amount the user wishes to achieve
:param historic_data_years:The no of years the user wishes to use for base values calculation
:return:The probability of user achieving the target amount
'''
from_date = datetime.date.today() - relativedelta(
years=historic_data_years)
ticker_data = self.data_reader.fetch_ticker_data(
ticker_name, from_date) # '1/1/2017'
base_rate, volatility = self.data_processor.calc_base_rate_and_volatility_by_ticker(
ticker_data)
probablity_expected_return = self.data_processor.calc_expected_return_probablity_based_on_monte_carlo(
base_rate, volatility, time_horizon, base_amount, finalAmount)
return probablity_expected_return
