mirror of
https://github.com/andrewkdinh/fund-indicators.git
synced 2024-11-21 14:54:17 -08:00
Reduced logging
This commit is contained in:
Andrew Dinh
parent
457379c3ba
commit
67faa403eb
@ -35,12 +35,13 @@ python main.py
|
||||
```
|
||||
|
||||
- Common mutual funds are listed in `stocks.txt`
|
||||
- Configure and rename `config.example.json` to `config.json` if you would like to skip beginning questions (only for advanced users)
|
||||
- Configure and rename `config.example.json` to `config.json` if you would like to skip some beginning questions (only for advanced users)
|
||||
|
||||
## Planned Features
|
||||
|
||||
- Graphical user interface (GUI)
|
||||
- Multithreading/asynchronous requests
|
||||
- Option to change amount to log (DEBUG, INFO, ERRORS)
|
||||
|
||||
## Contributing
|
||||
|
||||
|
||||
69
main.py
69
main.py
@ -83,6 +83,7 @@ class Stock:
|
||||
removeOutliers = True
|
||||
sourceList = ['Yahoo', 'Alpha Vantage', 'IEX', 'Tiingo']
|
||||
plotIndicatorRegression = False
|
||||
timePlotIndicatorRegression = 5 # seconds
|
||||
config = 'N/A'
|
||||
|
||||
# BENCHMARK VALUES
|
||||
@ -169,7 +170,7 @@ class Stock:
|
||||
values.append(value)
|
||||
listIEX.append(values)
|
||||
|
||||
print(len(listIEX[0]), 'dates and', len(listIEX[1]), "close values")
|
||||
# print(len(listIEX[0]), 'dates and', len(listIEX[1]), "close values")
|
||||
return listIEX
|
||||
|
||||
def AV(self):
|
||||
@ -204,7 +205,7 @@ class Stock:
|
||||
values.append(float(value))
|
||||
# listAV.append(values)
|
||||
listAV.append(list(reversed(values)))
|
||||
print(len(listAV[0]), 'dates and', len(listAV[1]), "close values")
|
||||
# print(len(listAV[0]), 'dates and', len(listAV[1]), "close values")
|
||||
|
||||
return listAV
|
||||
|
||||
@ -258,8 +259,7 @@ class Stock:
|
||||
# Used loop from finding dates
|
||||
listTiingo.append(values)
|
||||
|
||||
print(len(listTiingo[0]), 'dates and',
|
||||
len(listTiingo[1]), "close values")
|
||||
# print(len(listTiingo[0]), 'dates and', len(listTiingo[1]), "close values")
|
||||
return listTiingo
|
||||
|
||||
def Yahoo(self):
|
||||
@ -304,8 +304,7 @@ class Stock:
|
||||
else:
|
||||
break
|
||||
|
||||
print(len(listYahoo[0]), 'dates and',
|
||||
len(listYahoo[1]), "close values")
|
||||
# print(len(listYahoo[0]), 'dates and', len(listYahoo[1]), "close values")
|
||||
return listYahoo
|
||||
|
||||
def datesAndClose(self):
|
||||
@ -354,7 +353,7 @@ class Stock:
|
||||
return datesAndCloseList
|
||||
|
||||
def datesAndCloseFitTimeFrame(self):
|
||||
print('\nShortening list to fit time frame')
|
||||
# print('\nShortening list to fit time frame')
|
||||
# Have to do this because if I just make dates = self.allDates & closeValues = self.allCloseValues, then deleting from dates & closeValues also deletes it from self.allDates & self.allCloseValues (I'm not sure why)
|
||||
dates = []
|
||||
closeValues = []
|
||||
@ -367,8 +366,7 @@ class Stock:
|
||||
# print(self.timeFrame, ' months ago: ', firstDate, sep='')
|
||||
closestDate = Functions.getNearest(dates, firstDate)
|
||||
if closestDate != firstDate:
|
||||
print('Closest date available for ' +
|
||||
str(self.name) + ':' + ' ' + str(closestDate))
|
||||
# print('Closest date available to ' + str(self.timeFrame) + ' months ago: ' + str(closestDate))
|
||||
firstDate = closestDate
|
||||
else:
|
||||
print(self.name, 'has a close value for', firstDate)
|
||||
@ -780,10 +778,6 @@ class Stock:
|
||||
elif Stock.indicator == 'Market Capitalization':
|
||||
indicatorValue = str(
|
||||
input(Stock.indicator + ' of ' + self.name + ': '))
|
||||
else:
|
||||
cprint(
|
||||
'Something is wrong. Indicator was not found. Ending program', 'white', 'on_red')
|
||||
exit()
|
||||
|
||||
if Functions.strintIsFloat(indicatorValue) is True:
|
||||
indicatorValueFound = True
|
||||
@ -1250,7 +1244,7 @@ def returnMain(benchmark, listOfStocks):
|
||||
listOfStocks[i].name + ' from list of stocks', 'yellow')
|
||||
del listOfStocks[i]
|
||||
if len(listOfStocks) == 0:
|
||||
print('No stocks fit time frame. Ending program')
|
||||
# print('No stocks fit time frame. Ending program')
|
||||
cprint('No stocks fit time frame. Ending program',
|
||||
'white', 'on_red')
|
||||
exit()
|
||||
@ -1281,7 +1275,7 @@ def returnMain(benchmark, listOfStocks):
|
||||
str(len(listOfStocks)), 'green')
|
||||
if len(listOfStocks) < 2:
|
||||
# print('Cannot proceed to the next step. Exiting program')
|
||||
cprint('Cannot proceed to the next step. Exiting program',
|
||||
cprint('Unable to proceed. Exiting program',
|
||||
'white', 'on_red')
|
||||
exit()
|
||||
|
||||
@ -1400,8 +1394,9 @@ def plot_regression_line(x, y, b, i):
|
||||
plt.ylabel(listOfReturnStrings[i])
|
||||
|
||||
# function to show plot
|
||||
t = Stock.timePlotIndicatorRegression
|
||||
plt.show(block=False)
|
||||
for i in range(3, 0, -1):
|
||||
for i in range(t, 0, -1):
|
||||
if i == 1:
|
||||
sys.stdout.write('Keeping plot open for ' +
|
||||
str(i) + ' second \r')
|
||||
@ -1453,19 +1448,23 @@ def indicatorMain(listOfStocks):
|
||||
listOfStocks[i])
|
||||
except:
|
||||
print('Error retrieving indicator data')
|
||||
listOfStocks[i].indicatorValue = 'N/A'
|
||||
print('')
|
||||
print('\nWould you like to enter a ' + str(Stock.indicator) + ' value for ' + str(listOfStocks[i].name) + '?')
|
||||
r = Functions.trueOrFalse()
|
||||
if r is True:
|
||||
listOfStocks[i].indicatorValue = 'Remove'
|
||||
else:
|
||||
listOfStocks[i].indicatorValue = 'N/A'
|
||||
|
||||
if listOfStocks[i].indicatorValue == 'N/A':
|
||||
listOfStocks[i].indicatorValue = Stock.indicatorManual(
|
||||
listOfStocks[i])
|
||||
elif listOfStocks[i].indicatorValue == 'Stock':
|
||||
elif listOfStocks[i].indicatorValue == 'Stock' or listOfStocks[i].indicatorValue == 'Remove':
|
||||
cprint('Removing ' +
|
||||
listOfStocks[i].name + ' from list of stocks', 'yellow')
|
||||
del listOfStocks[i]
|
||||
if len(listOfStocks) < 2:
|
||||
# print('Not able to go to the next step. Ending program')
|
||||
cprint('Not able to go to the next step. Ending program',
|
||||
cprint('Unable to proceed. Ending program',
|
||||
'white', 'on_red')
|
||||
exit()
|
||||
else:
|
||||
@ -1473,6 +1472,7 @@ def indicatorMain(listOfStocks):
|
||||
listOfStocks[i].indicatorValue)
|
||||
listOfStocksIndicatorValues.append(listOfStocks[i].indicatorValue)
|
||||
i = i + 1
|
||||
print('')
|
||||
|
||||
# Remove outliers
|
||||
if Stock.removeOutliers is True:
|
||||
@ -1543,7 +1543,7 @@ def indicatorMain(listOfStocks):
|
||||
print('\n', end='')
|
||||
for i in range(0, len(Stock.indicatorCorrelation), 1):
|
||||
formula = ''.join(
|
||||
('y = ', str(round(float(Stock.indicatorRegression[i][0]), 2)), 'x + ', str(round(float(Stock.indicatorRegression[i][1]), 2))))
|
||||
('f(x) = ', str(round(float(Stock.indicatorRegression[i][0]), 2)), 'x + ', str(round(float(Stock.indicatorRegression[i][1]), 2))))
|
||||
print('Linear regression equation for ' + Stock.indicator.lower() + ' and ' +
|
||||
listOfReturnStrings[i].lower() + ': ' + formula)
|
||||
|
||||
@ -1574,15 +1574,32 @@ def plotIndicatorRegression():
|
||||
print(
|
||||
'matplotlib is not installed. \nIf you would like to install' +
|
||||
' it (and have a display), run `pip install matplotlib`')
|
||||
return False
|
||||
Stock.plotIndicatorRegression = False
|
||||
else:
|
||||
print('\nWould you like to plot indicator linear regression '
|
||||
'results?')
|
||||
plotLinear = Functions.trueOrFalse()
|
||||
if plotLinear is True:
|
||||
return True
|
||||
Stock.plotIndicatorRegression = True
|
||||
else:
|
||||
return False
|
||||
Stock.plotIndicatorRegression = False
|
||||
else:
|
||||
Stock.plotIndicatorRegression = False
|
||||
|
||||
# Ask for how long
|
||||
if Stock.plotIndicatorRegression is True:
|
||||
timeFound = False
|
||||
print('')
|
||||
while timeFound is False:
|
||||
x = str(input('How long would you like to keep the graph up (seconds)? '))
|
||||
if Functions.stringIsInt(x) is True:
|
||||
if int(x) > 0:
|
||||
Stock.timePlotIndicatorRegression = int(x)
|
||||
timeFound = True
|
||||
else:
|
||||
print('Please choose a number greater than zero')
|
||||
else:
|
||||
print('Please choose an integer')
|
||||
|
||||
|
||||
def main():
|
||||
@ -1640,8 +1657,8 @@ def main():
|
||||
Stock.removeOutliers = outlierChoice()
|
||||
|
||||
# Check if matplotlib is installed and if so, ask user if
|
||||
# they want to plot
|
||||
Stock.plotIndicatorRegression = plotIndicatorRegression()
|
||||
# they want to plot and for how long
|
||||
plotIndicatorRegression()
|
||||
|
||||
else:
|
||||
if Stock.config['Check Packages'] is not False:
|
||||
|
||||
Loading…
Reference in New Issue
Block a user