def descriptive_mode(dataset,start_date,end_date,company_name,company):
print("\n"+"*" *100)
print(f"Thanks for Choosing Descriptive Stock Analysis Option. You can choose \n1.Basic Statistics Analysis for {company_name}\n2.Advanced Statistics Analysis for {company_name} \n3.Compare Stockes between different companies \n4.Main Menu\n")
print("\n"+"*" *100)
option = input("Choose from the above option\nEnter your Option:")
try:
if option == "1":
basic_stats(dataset,start_date,end_date,company_name,company)
elif option == "2":
advanced_stats(dataset,start_date,end_date,company_name,company)
elif option == "3":
comparestocks(dataset,start_date,end_date,company_name,company)
elif option == "4":
hm.mainmenu(dataset,start_date,end_date,company_name,company)
else:
print(f"Guess, You have entered the wrong option, Please try again !!! You can choose \n1.For Stock Analysis for {company}\n 2.Stock Prediction for {company} \n3.Main Menu\n")
print("\n")
descriptive_mode(dataset,start_date,end_date,company_name,company)
except ValueError:
print("Enter the correct option from below menu")
descriptive_mode(dataset,start_date,end_date,company_name,company)
def predictive_mode(dataset, start_date, end_date, company_name, company):
print("*" * 100)
print(
f"Thanks for Choosing Predictive Stock Analysis Option. You can choose \n1.Prediction using Linear Regression for {company_name} \n2.Prediction using ARIMA Model for {company_name} \n3.Main Menu\n"
)
print("*" * 100)
option = input("Choose from the above option\nEnter your Option:\n")
try:
if option == "1":
linear_mode(dataset, start_date, end_date, company_name, company)
predictive_mode(dataset, start_date, end_date, company_name,
company)
elif option == "2":
arima_model(dataset, start_date, end_date, company_name, company)
predictive_mode(dataset, start_date, end_date, company_name,
company)
elif option == "3":
hm.mainmenu(dataset, start_date, end_date, company_name, company)
else:
print(
f"Guess, You have entered the wrong option, Please try again !!! You can choose \n1.Prediction using Linear Regression for {company_name} \n2.Prediction using ARIMA Model for {company_name} \n3.Main Menu\n"
)
print("\n")
predictive_mode(dataset, start_date, end_date, company_name,
company)
except ValueError:
print("Please select from given below options")
predictive_mode(dataset, start_date, end_date, company_name, company)
def plotData(dataset, start_date, end_date, company_name, company):
print("*" * 100)
print(
f"Thanks for Choosing Descriptive Stock Analysis Option. You can choose \n1.Time Series \n2.Trend Lines for {company_name} \n3.Candle Stick View of Close price for {company_name}\n4.Histograms for High and Low \n5.Main Menu\n"
)
option = input("Choose from the above option?\nEnter your Option:")
print("*" * 100)
try:
if option == "1":
timeSeries(dataset, start_date, end_date, company_name, company)
plotData(dataset, start_date, end_date, company_name, company)
elif option == "2":
trendlines(dataset, start_date, end_date, company_name, company)
plotData(dataset, start_date, end_date, company_name, company)
elif option == "3":
candle_stick_ohlc(dataset, start_date, end_date, company_name,
company)
plotData(dataset, start_date, end_date, company_name, company)
elif option == "4":
graph(dataset)
plotData(dataset, start_date, end_date, company_name, company)
elif option == "5":
hm.mainmenu(dataset, start_date, end_date, company_name, company)
else:
print(
f"Guess, You have entered the wrong option, Please try again !!! You can choose \n1.Time Series and Trend Lines for {company_name} \n2.Candle Stick View of Close price for {company_name}\n3.Main Menu\n"
)
print("\n")
plotData(dataset, start_date, end_date, company_name, company)
except ValueError:
print("***Wrong choice, Please try again....***\n\n")
plotData(dataset, start_date, end_date, company_name, company)