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Merge pull request #5 from andrewkdinh/stockData

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Stock data
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Andrew Dinh 2018-12-24 21:38:11 +00:00 committed by GitHub
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5 changed files with 210 additions and 87 deletions
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2
.gitignore vendored
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@ -1,3 +1,5 @@
__pycache__/StockData.cpython-37.pyc
__pycache__/
*.pyc
quickstart.py
creds.json

144
StockData.py
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@ -3,26 +3,44 @@
# Python 3.6.1
# Description: Returns all available dates and prices for each stock requested.
'''
Available API's: Can it do mutual funds?
IEX: No
Alpha Vantage (AV): Yes
Tiingo: Yes
Barchart: No
'''
# Alpha Vantage API Key: O42ICUV58EIZZQMU
# Barchart API Key: a17fab99a1c21cd6f847e2f82b592838
# Barchart API Key: a17fab99a1c21cd6f847e2f82b592838 # Possible other one? f40b136c6dc4451f9136bb53b9e70ffa
# Tiingo API Key: 2e72b53f2ab4f5f4724c5c1e4d5d4ac0af3f7ca8
# Tradier API Key: n26IFFpkOFRVsB5SNTVNXicE5MPD
# If you're going to take these API keys and abuse it, you should really reconsider your life priorities
apiAV = 'O42ICUV58EIZZQMU'
apiBarchart = 'a17fab99a1c21cd6f847e2f82b592838'
apiTiingo = '2e72b53f2ab4f5f4724c5c1e4d5d4ac0af3f7ca8' # Limited to 400 requests/day
#apiBarchart = 'a17fab99a1c21cd6f847e2f82b592838' # 150 getHistory queries per day
apiBarchart = 'f40b136c6dc4451f9136bb53b9e70ffa'
apiTiingo = '2e72b53f2ab4f5f4724c5c1e4d5d4ac0af3f7ca8'
apiTradier = 'n26IFFpkOFRVsB5SNTVNXicE5MPD'
'''
Monthly Bandwidth = 5 GB
Hourly Requests = 500
Daily Requests = 20,000
Symbol Requests = 500
'''
import requests, json
import requests, json, socket
import importlib.util, sys # To check whether a package is installed
from datetime import datetime
class Stock:
def __init__(self, newName = '', newfirstLastDates = [], newAbsFirstLastDates = [], newfinalDatesAndClose = [], newAllLists = []):
def __init__(self, newName = '', newFirstLastDates = [], newAbsFirstLastDates = [], newFinalDatesAndClose = [], newAllLists = []):
self.name = newName # Name of stock
self.firstLastDates = newfirstLastDates # Dates that at least 2 sources have (or should it be all?) - Maybe let user decide
self.firstLastDates = newFirstLastDates # Dates that at least 2 sources have (or should it be all?) - Maybe let user decide
self.absFirstLastDates = newAbsFirstLastDates # Absolute first and last dates from all sources
self.finalDatesAndClose = newfinalDatesAndClose # All available dates
self.finalDatesAndClose = newFinalDatesAndClose # All available dates
self.allLists = newAllLists
'''
Format:
# List from each source containing: [firstDate, lastDate, allDates, values, timeFrame]
@ -31,32 +49,16 @@ class Stock:
values (close) = ['164.6307', 164.6307]
timeFrame = [days, weeks, years]
'''
self.allLists = newAllLists
'''
def set(self, newName, newfirstLastDates, newAbsFirstLastDates, newDates, newListIEX, newListAV, newListTiingo):
def set(self, newName, newFirstLastDates, newAbsFirstLastDates, newFinalDatesAndClose, newAllLists):
self.name = newName # Name of stock
self.firstLastDates = newfirstLastDates # Dates that at least 2 sources have (or should it be all?) - Maybe let user decide
self.firstLastDates = newFirstLastDates # Dates that at least 2 sources have (or should it be all?) - Maybe let user decide
self.absFirstLastDates = newAbsFirstLastDates # Absolute first and last dates from all sources
self.dates = newDates # All available dates
self.finalDatesAndClose = newFinalDatesAndClose
self.allLists = newAllLists
# List from each source containing: ['firstDate', 'lastDate', allDates, values]
self.listIEX = newListIEX # Dates available from IEX
self.listAV = newListAV # Dates available from AV
self.listTiingo = newListTiingo # Dates available from Tiingo
def setFirstLastDates(newFirstLastDates):
self.firstLastDates = newFirstLastDates
def setAbsFirstLastDates(newAbsFirstLastDates):
self.absFirstLastDates = newAbsFirstLastDates
def setDates(newDates):
self.dates = newDates
def setListIEX(newListIEX):
self.listIEX = newListIEX
def setListAV(newListAV):
self.listAV = newListAV
def setListTiingo(newListTiingo):
self.listTiingo = newListTiingo
'''
def setName(self, newName):
self.name = newName
def getIEX(self):
url = ''.join(('https://api.iextrading.com/1.0/stock/', self.name, '/chart/5y'))
@ -64,6 +66,10 @@ class Stock:
print("\nSending request to:", url)
f = requests.get(url)
json_data = f.text
#print(json_data)
if (json_data == 'Unknown symbol'):
print("IEX not available")
return 'Not available'
loaded_json = json.loads(json_data)
listIEX = []
@ -91,8 +97,9 @@ class Stock:
date = line['date']
allDates.append(date)
listIEX.append(allDates)
#print(listIEX[1])
print("Uncomment above line in code to see output")
#print(listIEX[2])
print(len(listIEX[2]), "dates")
print("\nFinding close values for each date")
values = []
@ -103,7 +110,7 @@ class Stock:
values.append(value)
listIEX.append(values)
#print(listIEX[3])
print("Uncomment above line in code to see output")
print(len(listIEX[3]), "close values")
print("\nFinding time frame given [days, weeks, years]")
timeFrame = []
@ -129,6 +136,14 @@ class Stock:
f = requests.get(url)
json_data = f.text
loaded_json = json.loads(json_data)
#print(loaded_json)
#print(type(loaded_json)) # Dictionary
#print(len(loaded_json))
if len(loaded_json) == 1:
print("Alpha Vantage not available")
return 'Not available'
#print(loaded_json['Monthly Time Series'])
monthlyTimeSeries = loaded_json['Monthly Time Series']
#print(monthlyTimeSeries)
@ -147,7 +162,7 @@ class Stock:
print(listAV[0], ',', listAV[1])
print("\nFinding all dates given")
#print(listAV[2])
print("Uncomment above line in code to see output")
print(len(listAV[2]), "dates")
print("\nFinding close values for each date")
values = []
@ -161,7 +176,7 @@ class Stock:
#i = listOfDates[0]
#print(monthlyTimeSeries[i])
#print(listAV[3])
print("Uncomment above line in code to see output")
print(len(listAV[3]), "close values")
print("\nFinding time frame given [days, weeks, years]")
timeFrame = []
@ -199,6 +214,10 @@ class Stock:
requestResponse = requests.get(url, headers=headers)
#print(requestResponse.json())
loaded_json = requestResponse.json()
#print(len(loaded_json))
if len(loaded_json) == 1:
print("Tiingo not available")
return 'Not available'
#print(loaded_json)
'''
list1 = list(loaded_json)
@ -242,13 +261,13 @@ class Stock:
values.append(value)
listTiingo.append(dates)
#print(listTiingo[2])
print("Uncomment above line in code to see output")
print(len(listTiingo[2]), "dates")
print("Finding close values for each date")
# Used loop from finding dates
listTiingo.append(values)
#print(listTiingo[3])
print("Uncomment above line in code to see output")
print(len(listTiingo[3]), "close values")
print("Finding time frame given [days, weeks, years]")
timeFrame = []
@ -297,6 +316,7 @@ class Stock:
firstMonth = month
firstDay = day
#print(firstDate)
if len(listOfFirstDates) > 1:
for i in range(0, len(listOfLastDates),1):
date = listOfLastDates[i]
if i == 0:
@ -368,7 +388,7 @@ class Stock:
day = day + 1
if day == 32 and month == 12: # Next year
day = 1
month = 2
month = 1
year = year + 1
elif day == 32: # Next month
month = month + 1
@ -407,21 +427,39 @@ class Stock:
finalDatesAndClose.append(finalClose)
return finalDatesAndClose
def is_connected():
try:
# connect to the host -- tells us if the host is actually
# reachable
socket.create_connection(("www.andrewkdinh.com", 80))
return True
except OSError:
pass
return False
def main(self):
package_name = 'requests'
packages = ['requests']
for i in range(0, len(packages), 1):
package_name = packages[i]
spec = importlib.util.find_spec(package_name)
if spec is None:
print(package_name +" is not installed\nPlease type in 'pip install -r requirements.txt' to install all required packages")
# Makes list with ['firstDate', 'lastDate', [allDates], values]
# Test internet connection
internetConnection = Stock.is_connected()
if internetConnection == False:
print("\nNo internet connection!")
return
listOfFirstLastDates = []
self.allLists = []
# IEX
print("\nIEX")
listIEX = Stock.getIEX(self)
#print(listIEX)
if listIEX != 'Not available':
listOfFirstLastDates.append((listIEX[0], listIEX[1]))
self.allLists.append(listIEX)
@ -429,42 +467,46 @@ class Stock:
print("\nAlpha Vantage (AV)")
listAV = Stock.getAV(self)
#print(listAV)
if listAV != 'Not available':
listOfFirstLastDates.append((listAV[0], listAV[1]))
self.allLists.append(listAV)
# COMMENTED OUT FOR NOW B/C LIMITED TO 400 REQUESTS/DAY
# COMMENTED OUT FOR NOW B/C LIMITED
'''
print("\nTiingo")
listTiingo = Stock.getTiingo(self)
#print(listTiingo)
if listTiingo != 'Not available':
listOfFirstLastDates.append((listTiingo[0], listTiingo[1]))
self.allLists.append(listTiingo)
'''
#print(self.allLists)
#print(listOfFirstLastDates)
if (len(self.allLists) > 0):
print("\n")
print(len(self.allLists), "available sources for", self.name)
self.absFirstLastDates = Stock.getFirstLastDate(self, listOfFirstLastDates)
print("\nThe absolute first date with close values is:", self.absFirstLastDates[0])
print("The absolute last date with close values is:", self.absFirstLastDates[1])
print("\nCombining dates and finding average close values")
print("\nCombining dates and averaging close values")
self.finalDatesAndClose = Stock.getFinalDatesAndClose(self) # Returns [List of Dates, List of Corresponding Close Values]
#print("All dates available:", self.finalDatesAndClose[0])
#print("All close values:\n", self.finalDatesAndClose[1])
print("Uncomment above line in code to see output")
finalDates = self.finalDatesAndClose[0]
finalClose = self.finalDatesAndClose[1]
print(len(finalDates), "unique dates:", finalDates[len(finalDates)-1], "...", finalDates[0])
print(len(finalClose), "close values:", finalClose[len(finalClose)-1], "...", finalClose[0])
#print("Uncomment above line in code to see output")
else:
print("No sources have data for", self.name)
def main(): # For testing purposes
stockName = 'aapl'
stockName = 'spy'
stock1 = Stock(stockName)
print("Finding available dates and close values for", stock1.name)
Stock.main(stock1)
def imported(): # When this file has been imported
# Add stuff here
return
if __name__ == "__main__":
main()
else:
imported()

54
listGoogle.py Normal file
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@ -0,0 +1,54 @@
# https://support.google.com/docs/answer/3093281?hl=en
# Historical data cannot be downloaded or accessed via the Sheets API or Apps Script. If you attempt to do so, you will see a #N/A error in place of the values in the corresponding cells of your spreadsheet.
import gspread, time, webbrowser, msvcrt
from oauth2client.service_account import ServiceAccountCredentials
def main():
scope = ['https://spreadsheets.google.com/feeds',
'https://www.googleapis.com/auth/drive']
credentials = ServiceAccountCredentials.from_json_keyfile_name('creds.json', scope)
gc = gspread.authorize(credentials)
'''
# Just by ID:
#sheet = gc.open_by_key('1YS8qBQCXKNfSgQgXeUdSGOd6lM2wm-inV0_1YE36vQM')
sheet = gc.open_by_url('https://docs.google.com/spreadsheets/d/1YS8qBQCXKNfSgQgXeUdSGOd6lM2wm-inV0_1YE36vQM')
worksheet = sheet.get_worksheet(0)
worksheet.update_acell('B1', 'bingo!')
#worksheet.update_cell(1, 2, 'Bingo!')
val = worksheet.acell('B1').value
#val = worksheet.cell(1, 2).value
print(val)
'''
url = 'https://docs.google.com/spreadsheets/d/1YS8qBQCXKNfSgQgXeUdSGOd6lM2wm-inV0_1YE36vQM'
surl = 'https://www.andrewkdinh.com/u/listGoogle'
print("Opening", url)
#webbrowser.open(surl)
sheet = gc.open_by_url(url)
worksheet = sheet.get_worksheet(0)
print('Writing Google Finance function to A1')
worksheet.update_cell(1, 1, '=GOOGLEFINANCE("GOOG", "price", DATE(2014,1,1), DATE(2014,12,31), "DAILY")')
print('\nOpening link to the Google Sheet. Please download the file as comma-separated values (.csv) and move it to the directory of this Python file',
'\nFile > Download as > Comma-separated values(.csv,currentsheet)')
print("If the link did not open, please go to", surl)
print("Press any key to continue")
#time.sleep(45)
'''
for i in range(60, 0, -1):
print(i, end='\r')
time.sleep(1)
'''
waiting = True
while waiting == True:
if msvcrt.kbhit():
waiting = False
print("e")
#val = worksheet.acell('A1').value
#print(val)
if __name__ == '__main__':
main()

27
main.py
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@ -15,4 +15,29 @@ Gives correlation value using equation at the end (from 0 to 1)
FIRST TESTING WITH EXPENSE RATIO
'''
import StockData
from StockData import Stock
listOfStocks = []
numberOfStocks = int(input("How many stocks or mutual funds would you like to analyze? "))
for i in range(0, numberOfStocks, 1):
print("Stock", i+1, ": ", end='')
stockName = str(input())
listOfStocks.append(i)
listOfStocks[i] = Stock()
listOfStocks[i].setName(stockName)
#print(listOfStocks[i].name)
for i in range(0, numberOfStocks, 1):
print("\n")
print(listOfStocks[i].name)
Stock.main(listOfStocks[i])
#print(listOfStocks[0].name, listOfStocks[0].absFirstLastDates, listOfStocks[0].finalDatesAndClose)
print("\nWhich indicator would you like to look at? \n1. Expense Ratio")
indicator = str(input)
'''
stockName = 'IWV'
stock1 = Stock(stockName)
print("Finding available dates and close values for", stock1.name)
Stock.main(stock1)
'''