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stockstats.py
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from pprint import pprint
from pathlib import Path
import os
import pandas as pan
from openpyxl.workbook import Workbook
from openpyxl import load_workbook
import sys
from openpyxl.utils.dataframe import dataframe_to_rows
import argparse, sys
from datetime import datetime, timedelta
from openpyxl.utils.cell import get_column_letter, column_index_from_string
import json
import requests
import time
from bs4 import BeautifulSoup
import finviz
import numpy as np
import tweepy
import snscrape.modules.twitter as sntwitter
from iextoken import token
def createSheets(name, book):
print("create sheets")
headings = ["Date", "Symbol", "Last", "High Since date", "Date of High", "Last High CD"] # all values must be strings
ws1 = book.create_sheet(name)
i = 1
for item in headings:
#print(item)
ws1.cell(row = 1, column = i).value = item
i=i+1
def getNumDaysStr(date, append, offset):
lastDate = date
lastTradeDateUrl = "https://cloud.iexapis.com/stable/ref-data/us/dates/trade/last/1?token="+token
lastTradeRes = requests.get(lastTradeDateUrl)
#print(type(lastTradeRes))
lastTradeDate = lastTradeRes.json()[0]["date"]
# print(type(lastTradeDate))
# print(lastTradeDate)
lastTradeDateDate = datetime.strptime(lastTradeDate, "%Y-%m-%d")
numdays = (lastTradeDateDate - lastDate).days
numdays += append + offset
print("Numdays", numdays)
rangeToUse = ""
if (numdays < 32):
rangeToUse = "1m"
elif (numdays >= 32 and numdays < 64):
rangeToUse = "3m"
elif (numdays >= 64 and numdays < 127):
rangeToUse = "6m"
elif (numdays >= 127 and numdays < 254):
rangeToUse = "1y"
elif (numdays >= 254 and numdays < 508):
rangeToUse = "2y"
elif (numdays >= 508 and numdays < 1270):
rangeToUse = "5y"
else:
rangeToUse = "max"
return rangeToUse
def getNumDaysStrMax(date, append, offset):
try:
lastDate = date
lastTradeDateUrl = "https://cloud.iexapis.com/stable/ref-data/us/dates/trade/last/1?token="+token
lastTradeRes = requests.get(lastTradeDateUrl)
#print(type(lastTradeRes))
lastTradeDate = lastTradeRes.json()[0]["date"]
# print(type(lastTradeDate))
# print(lastTradeDate)
lastTradeDateDate = datetime.strptime(lastTradeDate, "%Y-%m-%d")
numdays = (lastTradeDateDate - lastDate).days
numdays += append + offset
print("Numdays", numdays)
rangeToUse = ""
if (numdays < 30):
rangeToUse = "1m"
elif (numdays >= 30 and numdays < 90):
rangeToUse = "3m"
elif (numdays >= 90 and numdays < 180):
rangeToUse = "6m"
elif (numdays >= 180 and numdays < 365):
rangeToUse = "1y"
elif (numdays >= 365 and numdays < 730):
rangeToUse = "2y"
elif (numdays >= 730 and numdays < 1825):
rangeToUse = "5y"
else:
rangeToUse = "max"
return rangeToUse, numdays, lastTradeDateDate
except Exception as ex:
print(ex)
return None
def calcIndicator(url, date, offset):
try:
data = requests.get(url).json()
indicatorArr = data['indicator']
chart = data['chart']
index = 0
for close in chart:
closeDate = close['date']
#closeDateConv = closeDate.split("-")[0]+closeDate.split("-")[1]+closeDate.split("-")[2]
closeDateConvTime = datetime.strptime(closeDate, "%Y-%m-%d")
#print("index:", index, "val: ", indicatorArr[0][index])
if (closeDateConvTime == date):
print(date)
index-=offset
val = indicatorArr[0][index]
#print("Length of indicator: ", len(indicatorArr), "Length of chart: ", len(chart), "index: ", index)
# if (normalized and val!=None):
# val /= fclose
print("indicator found at ", date, "val= ", val)
if (val == None):
return "#N/A"
return val
index+=1
except Exception as ex:
print(ex)
return "#N/A"
def calcAvgVol(data, date, period):
try:
index = 0
canLoop = False
volArray = []
count = 0
exactVolume = 0
for close in data:
if (count >= period):
break
closeDate = close['date']
volume = close['volume']
if (canLoop):
volArray.append(float(volume))
count+=1
#closeDateConv = closeDate.split("-")[0]+closeDate.split("-")[1]+closeDate.split("-")[2]
closeDateConvTime = datetime.strptime(closeDate, "%Y-%m-%d")
#print("index:", index, "val: ", indicatorArr[0][index])
if (closeDateConvTime == date):
print("exactdate volcalc", date)
volArray.append(float(volume))
exactVolume = float(volume)
count+=1
canLoop = True
index+=1
volAvg = np.average(volArray)
volStdDev = np.std(volArray)
print("Vol avg calculated for period ", count, "avg = ", volAvg, "stddev = ", volStdDev)
return volAvg, volStdDev, exactVolume
except Exception as ex:
print(ex)
return "#N/A"
def calcAtr(url, date, atrPeriod, avgAtrPeriod):
try:
canLoop = False
atrArray = []
count = 0
exactAtr = 0
data = requests.get(url).json()
indicatorArr = data['indicator'][0]
chart = data['chart']
indicatorArr.reverse()
chart.reverse()
index = 0
for close in chart:
if (count >= avgAtrPeriod):
break
closeDate = close['date']
if (canLoop):
val = float(indicatorArr[index])
atrArray.append(val)
count+=1
#closeDateConv = closeDate.split("-")[0]+closeDate.split("-")[1]+closeDate.split("-")[2]
closeDateConvTime = datetime.strptime(closeDate, "%Y-%m-%d")
#print("index:", index, "val: ", indicatorArr[0][index])
if (closeDateConvTime == date):
print("exactdate atrcalc", date)
val = float(indicatorArr[index])
atrArray.append(val)
exactAtr = val
count+=1
canLoop = True
index+=1
atrAvg = np.average(atrArray)
print("Atr avg calculated for period ", count, "avg = ", atrAvg, "atr = ", exactAtr)
return atrAvg, exactAtr
except Exception as ex:
print(ex)
return "#N/A"
def getStockData(sht, calcShOut, calcFloat, calcCountry, calcSector, calcIndustry, minrow, maxrow, calcOverwrite):
# auth = tweepy.AppAuthHandler(nhLX0Abge9AIkSrBhCXukZMvL, CRopEqY1RiFbiuH3IekyopYKDtIObaRwONIDEJLq6ehilirPb6)
# api = tweepy.API(auth)
themesxl = 'stockstats.xlsx'
xl = load_workbook(filename = themesxl)
stocks = xl[sht]
minRow = minrow
maxRow = maxrow
rowIndex = minRow
symbolCol = column_index_from_string("D")
priceAddedCol = column_index_from_string("F")
dateAddedCol = column_index_from_string("G")
lastPriceCol = column_index_from_string("H")
highestPriceCol = column_index_from_string("I")
highDateCol = column_index_from_string("J")
lastHighComputeCol = column_index_from_string("M")
manualOverrideCol = column_index_from_string("N")
daysElapsedCol = column_index_from_string("Q")
shOutCol = column_index_from_string("O")
floatCol = column_index_from_string("P")
countryCol = column_index_from_string("R")
sectorCol = column_index_from_string("S")
industryCol = column_index_from_string("T")
socialCol = column_index_from_string("U")
dateAddedVolumeCol = column_index_from_string("V")
rowIndex = minRow
for row in stocks.iter_rows(min_row=minRow, max_row=maxRow):
symbol = stocks.cell(rowIndex, symbolCol).value
print(symbol)
if (symbol != None and stocks.cell(rowIndex, manualOverrideCol).value == None):
# do last price calc
lastPrice = stocks.cell(rowIndex, lastPriceCol).value
url = 'https://cloud.iexapis.com/stable/stock/'+symbol+'/price?token=pk_5e8779cbd4a34bc89a43575e146be124'
data = requests.get(url).json()
stocks.cell(rowIndex, lastPriceCol).value = data
stocks.cell(rowIndex, lastPriceCol).number_format = "$0.00##"
# do high since date
stockHigh = stocks.cell(rowIndex, highestPriceCol).value
if (stockHigh == None):
stockHigh = stocks.cell(rowIndex, priceAddedCol).value
stocks.cell(rowIndex, highestPriceCol).value = stocks.cell(rowIndex, priceAddedCol).value
stocks.cell(rowIndex, highDateCol).value = stocks.cell(rowIndex, dateAddedCol).value
stocks.cell(rowIndex, highDateCol).number_format = "m/d/yyyy"
lastHighCompute = stocks.cell(rowIndex, lastHighComputeCol).value
# now get the date to look back
date = lastHighCompute
if (lastHighCompute == None):
date = stocks.cell(rowIndex, dateAddedCol).value
try:
rangetouse, numdays, lastTradeDate = getNumDaysStrMax(date, 0, 0)
except Exception as ex:
print(ex)
if (numdays > 0):
try:
url = 'https://cloud.iexapis.com/beta/stock/market/batch?symbols='+str(symbol)+'&types=chart&chartByDay=true&range=' + str(rangetouse) + '&chartLast='+str(numdays)+'&filter=date,high&token=pk_5e8779cbd4a34bc89a43575e146be124'
data = requests.get(url).json()
currHigh = stockHigh
highDate = ""
minDate = stocks.cell(rowIndex, dateAddedCol).value
#print(url)
for stock in data.items():
for chart in stock[1].items():
for close in chart[1]:
highDateConv = datetime.strptime(close['date'], "%Y-%m-%d")
if ((highDateConv - minDate).days <= 0):
break
currHigh = float(close['high'])
if (currHigh > stockHigh):
stockHigh = currHigh
highDate = close['date']
if (stocks.cell(rowIndex, dateAddedVolumeCol).value == None):
url = "https://cloud.iexapis.com/stable/stock/"+str(symbol)+"/chart/date/"+datetime.strftime(minDate, "%Y%m%d")+"?chartByDay=true&chartCloseOnly=true&token="+token
data1 = requests.get(url).json()
calc = float(data1[0]["volume"])
stocks.cell(rowIndex, dateAddedVolumeCol).value = calc
if (highDate != ""):
print("new high found ", stockHigh, highDate)
stocks.cell(rowIndex, highestPriceCol).value = stockHigh
stocks.cell(rowIndex, highestPriceCol).number_format = "$0.00##"
highDateConv = datetime.strptime(highDate, "%Y-%m-%d")
elapsed = (highDateConv - stocks.cell(rowIndex, dateAddedCol).value).days
stocks.cell(rowIndex, highDateCol).value = highDateConv
stocks.cell(rowIndex, highDateCol).number_format = "m/d/yyyy"
stocks.cell(rowIndex, daysElapsedCol).value = elapsed
else:
print("no new high for this period")
stocks.cell(rowIndex, lastHighComputeCol).value = lastTradeDate
stocks.cell(rowIndex, lastHighComputeCol).number_format = "m/d/yyyy"
except Exception as ex:
print(ex)
else:
print("No data to load")
# do key stats
try:
if (stocks.cell(rowIndex, socialCol).value == None):
#https://github.com/igorbrigadir/twitter-advanced-search
#tweetarchive
minDate = stocks.cell(rowIndex, dateAddedCol).value
dBack = minDate - timedelta(days=5)
# tweets=tweepy.Cursor(api.search_full_archive,environment_name="tweetarchive", query="$"+symbol, fromDate=date_since_pro).items(numTweets)
# api.search_full_archive("tweetarchive", query="$"+symbol, fromDate=date_since_pro).items(numTweets)
minDateStr = datetime.strftime(minDate, "%Y-%m-%d")
firstDateStr = datetime.strftime(dBack, "%Y-%m-%d")
#$aht since:2021-01-01 until:2021-05-01
# Creating list to append tweet data to
tweets_list2 = []
searchStr = "$"+symbol+" since:"+firstDateStr+ " until:"+minDateStr
print(searchStr)
# Using TwitterSearchScraper to scrape data and append tweets to list
for i,tweet in enumerate(sntwitter.TwitterSearchScraper(searchStr).get_items()):
if i>500:
break
tweets_list2.append([tweet.date, tweet.id, tweet.content, tweet.user.username])
# Creating a dataframe from the tweets list above
tweets_df2 = pan.DataFrame(tweets_list2, columns=['Datetime', 'Tweet Id', 'Text', 'Username'])
print("tweets: ",tweets_df2.size)
stocks.cell(rowIndex, socialCol).value = tweets_df2.size
if (calcShOut and (calcOverwrite or stocks.cell(rowIndex, shOutCol).value == None)):
# shares out
url = "https://cloud.iexapis.com/stable/stock/"+symbol+"/stats/sharesOutstanding?token="+token
data = requests.get(url).json()
stocks.cell(rowIndex, shOutCol).value = data
print(data)
if (calcSector and (calcOverwrite or stocks.cell(rowIndex, sectorCol).value == None)):
# sector
url = "https://cloud.iexapis.com/stable/stock/"+symbol+"/company?filter=sector&token="+token
data = requests.get(url).json()
stocks.cell(rowIndex, sectorCol).value = data['sector']
print(data['sector'])
#stocks.cell(rowIndex, floatCol).value = floatVar
fin = finviz.get_stock(symbol)
if (calcFloat and (calcOverwrite or stocks.cell(rowIndex, floatCol).value == None)):
# shares out
floatVar = fin["Shs Float"]
if (floatVar.endswith("M")):
floatVar = float(floatVar.split("M")[0]) * 1000000
elif (floatVar.endswith("B")):
floatVar = float(floatVar.split("B")[0]) * 1000000000
elif (floatVar.endswith("K")):
floatVar = float(floatVar.split("K")[0]) * 1000
if (floatVar != "-"):
stocks.cell(rowIndex, floatCol).value = floatVar
print(floatVar)
if (calcCountry and (calcOverwrite or stocks.cell(rowIndex, countryCol).value == None)):
# shares out
country = fin['Country']
print(country)
stocks.cell(rowIndex, countryCol).value = country
if (calcIndustry and (calcOverwrite or stocks.cell(rowIndex, industryCol).value == None)):
# industry
industry = fin['Industry']
print(industry)
stocks.cell(rowIndex, industryCol).value = industry
except Exception as ex:
print(ex)
rowIndex+=1
#xl.save(themesxl)
try:
xl.save(themesxl)
except Exception as ex:
failed = True
while(failed):
print(ex)
stri = input("Save failed, try again...? Press any key to try again")
try:
xl.save(themesxl)
failed = False
except Exception as ex:
failed = True
xl.close()
def loadIndicators(sht, minrow, maxrow):
themesxl = 'stockstats.xlsx'
# bs for future use
xl = load_workbook(filename = themesxl)
sheet_names = xl.sheetnames # a list of existing sheet names
stocks = xl[sht]
themeRow = 1
minRow = minrow
maxRow = maxrow
minCol = column_index_from_string('Y')
maxCol = column_index_from_string("CQ")
symbolCol = column_index_from_string("D")
dateAddedCol = column_index_from_string("G")
fClose = column_index_from_string("X")
volumeatclosecol = column_index_from_string("V")
#sma
sma200Col = column_index_from_string("Y")
sma100Col = column_index_from_string("Z")
sma50Col = column_index_from_string("AA")
dma50Col = column_index_from_string("AB")
sma20Col = column_index_from_string("AC")
sma14Col = column_index_from_string("AD")
sma8Col = column_index_from_string("AE")
#slope
lrs200Col = column_index_from_string("AF")
lrs100Col = column_index_from_string("AG")
lrs50Col = column_index_from_string("AH")
lrs50dCol = column_index_from_string("AI")
lrs20Col = column_index_from_string("AJ")
lrs14Col = column_index_from_string("AK")
lrs8Col = column_index_from_string("AL")
#diff
diff200_100 = column_index_from_string("AM")
diff200_50 = column_index_from_string("AN")
diff200_50d = column_index_from_string("AO")
diff200_20 = column_index_from_string("AP")
diff200_14 = column_index_from_string("AQ")
diff200_8 = column_index_from_string("AR")
diff100_50 = column_index_from_string("AS")
diff100_50d = column_index_from_string("AT")
diff100_20 = column_index_from_string("AU")
diff100_14 = column_index_from_string("AV")
diff100_8 = column_index_from_string("AW")
diff50d_50 = column_index_from_string("AX")
diff50d_20 = column_index_from_string("AY")
diff50d_14 = column_index_from_string("AZ")
diff50d_8 = column_index_from_string("BA")
diff50_20 = column_index_from_string("BB")
diff50_14 = column_index_from_string("BC")
diff50_8 = column_index_from_string("BD")
diff20_14 = column_index_from_string("BE")
diff20_8 = column_index_from_string("BF")
diff14_8 = column_index_from_string("BG")
diffall = column_index_from_string("BH")
volumeAvg5Col = column_index_from_string("BK")
volumeAvg10Col = column_index_from_string("BL")
volumeAvg20Col = column_index_from_string("BM")
volumeAvg50Col = column_index_from_string("BN")
volumeAvg100Col = column_index_from_string("BO")
volumeAvg200Col = column_index_from_string("BP")
rsi14Col = column_index_from_string("BQ")
unfilledGapAboveCol = column_index_from_string("BR")
unfilledGapBelowCol = column_index_from_string("BS")
accuDistLineCol = column_index_from_string("BT")
accuDistOscCol = column_index_from_string("BU")
atrCol = column_index_from_string("BV")
avgAtrCol = column_index_from_string("BW")
deltaAvgAtr_AtrCol = column_index_from_string("BX")
chaikinVol10Col = column_index_from_string("BY")
chaikinVol50Col = column_index_from_string("BZ")
bbandsUpperCol = column_index_from_string("CA")
bbandsLowerCol = column_index_from_string("CB")
bbandsMiddleCol = column_index_from_string("CC")
bbandsDeltaCol = column_index_from_string("CD")
macdValueCol = column_index_from_string("CE")
macdSignalCol = column_index_from_string("CF")
macdHistoCol = column_index_from_string("CG")
macdValueSlopeCol = column_index_from_string("CH")
high52WkCol = column_index_from_string("CI")
high52WkPercCol = column_index_from_string("CJ")
low52WkCol = column_index_from_string("CK")
low52WkPercCol = column_index_from_string("CL")
onBalanceVolCol = column_index_from_string("CM")
variance10Col = column_index_from_string("CN")
variance20Col = column_index_from_string("CO")
variance50Col = column_index_from_string("CP")
williamsADCol = column_index_from_string("CQ")
# loop column in combined sheet
rowIndex = minRow
for row in stocks.iter_rows(min_row=minRow, max_row=maxRow):
colIndex = minCol
first = 0
second = 0
third = 0
fourth = 0
fifth = 0
sixth = 0
seventh = 0
eighth = 0
ninth = 0
tenth = 0
eleventh = 0
twelveth = 0
thirteenth = 0
fourtheenth = 0
fifteenth = 0
sixteenth = 0
seventeenth = 0
eigtheenth = 0
nineteenth = 0
twentieth = 0
twentifirst = 0
canContinue = True
for column in stocks.iter_cols(min_row=minRow, min_col=minCol, max_col=maxCol):
# set theme name to theme value
symbol = stocks.cell(rowIndex, symbolCol).value
date = stocks.cell(rowIndex, dateAddedCol).value
if (stocks.cell(rowIndex, fClose).value == None and canContinue):
try:
url = "https://cloud.iexapis.com/stable/stock/"+symbol+"/chart/date/"+date.strftime("%Y%m%d")+"?chartByDay=true&chartCloseOnly=false&token="+token
data = requests.get(url).json()
print(url, data)
stocks.cell(rowIndex, fClose).value = data[0]['fClose']
canContinue = True
except Exception as ex:
print(ex)
canContinue = False
if (stocks.cell(rowIndex, colIndex).value == None and stocks.cell(rowIndex, colIndex).value != "#N/A" and canContinue):
#print(rowIndex, get_column_letter(colIndex))
if (colIndex == sma200Col):
rangeToUse = getNumDaysStr(date, 200, 0)
url = "https://cloud.iexapis.com/stable/stock/" + symbol + "/indicator/sma?range="+rangeToUse+"&indicatorOnly=false&input1=200&token="+token
# '=IF($A${0}="Total%", {1}, IF($A${2}="(+/-)", {3}, {4}))'.format(typeRow, combinedSum, typeRow, combinedSign/count, combinedSign)
#print(url)
calc = calcIndicator(url, date, 0)
if (calc != None):
stocks.cell(rowIndex, colIndex).value = calc
elif (colIndex == sma100Col):
rangeToUse = getNumDaysStr(date, 100,0)
url = "https://cloud.iexapis.com/stable/stock/" + symbol + "/indicator/sma?range="+rangeToUse+"&indicatorOnly=false&input1=100&token="+token
calc = calcIndicator(url, date, 0)
if (calc != None):
stocks.cell(rowIndex, colIndex).value = calc
elif (colIndex == sma50Col):
rangeToUse = getNumDaysStr(date, 50, 0)
url = "https://cloud.iexapis.com/stable/stock/" + symbol + "/indicator/sma?range="+rangeToUse+"&indicatorOnly=false&input1=50&token="+token
calc = calcIndicator(url, date, 0)
if (calc != None):
stocks.cell(rowIndex, colIndex).value = calc
elif (colIndex == dma50Col):
rangeToUse = getNumDaysStr(date, 60, 10)
url = "https://cloud.iexapis.com/stable/stock/" + symbol + "/indicator/sma?range="+rangeToUse+"&indicatorOnly=false&input1=50&token="+token
calc = calcIndicator(url, date, 10)
if (calc != None):
stocks.cell(rowIndex, colIndex).value = calc
elif (colIndex == sma20Col):
rangeToUse = getNumDaysStr(date, 20, 0)
url = "https://cloud.iexapis.com/stable/stock/" + symbol + "/indicator/sma?range="+rangeToUse+"&indicatorOnly=false&input1=20&token="+token
calc = calcIndicator(url, date, 0)
if (calc != None):
stocks.cell(rowIndex, colIndex).value = calc
elif (colIndex == sma14Col):
rangeToUse = getNumDaysStr(date, 14, 0)
url = "https://cloud.iexapis.com/stable/stock/" + symbol + "/indicator/sma?range="+rangeToUse+"&indicatorOnly=false&input1=14&token="+token
calc = calcIndicator(url, date, 0)
if (calc != None):
stocks.cell(rowIndex, colIndex).value = calc
elif (colIndex == sma8Col):
rangeToUse = getNumDaysStr(date, 8, 0)
url = "https://cloud.iexapis.com/stable/stock/" + symbol + "/indicator/sma?range="+rangeToUse+"&indicatorOnly=false&input1=8&token="+token
calc = calcIndicator(url, date, 0)
if (calc != None):
stocks.cell(rowIndex, colIndex).value = calc
elif (colIndex == lrs200Col):
rangeToUse = getNumDaysStr(date, 200, 0)
url = "https://cloud.iexapis.com/stable/stock/" + symbol + "/indicator/linregslope?range="+rangeToUse+"&indicatorOnly=false&input1=200&token="+token
calc = calcIndicator(url, date, 0)
if (calc != None):
stocks.cell(rowIndex, colIndex).value = '=IF($Z$3="yes", {0}/$X{1}, {2})'.format(calc, rowIndex, calc)
elif (colIndex == lrs100Col):
rangeToUse = getNumDaysStr(date, 100, 0)
url = "https://cloud.iexapis.com/stable/stock/" + symbol + "/indicator/linregslope?range="+rangeToUse+"&indicatorOnly=false&input1=100&token="+token
calc = calcIndicator(url, date, 0)
if (calc != None):
stocks.cell(rowIndex, colIndex).value = '=IF($Z$3="yes", {0}/$X{1}, {2})'.format(calc, rowIndex, calc)
elif (colIndex == lrs50Col):
rangeToUse = getNumDaysStr(date, 50, 0)
url = "https://cloud.iexapis.com/stable/stock/" + symbol + "/indicator/linregslope?range="+rangeToUse+"&indicatorOnly=false&input1=50&token="+token
calc = calcIndicator(url, date, 0)
if (calc != None):
stocks.cell(rowIndex, colIndex).value = '=IF($Z$3="yes", {0}/$X{1}, {2})'.format(calc, rowIndex, calc)
elif (colIndex == lrs50dCol):
rangeToUse = getNumDaysStr(date, 60, 10)
url = "https://cloud.iexapis.com/stable/stock/" + symbol + "/indicator/linregslope?range="+rangeToUse+"&indicatorOnly=false&input1=50&token="+token
calc = calcIndicator(url, date, 10)
if (calc != None):
stocks.cell(rowIndex, colIndex).value = '=IF($Z$3="yes", {0}/$X{1}, {2})'.format(calc, rowIndex, calc)
elif (colIndex == lrs20Col):
rangeToUse = getNumDaysStr(date, 20, 0)
url = "https://cloud.iexapis.com/stable/stock/" + symbol + "/indicator/linregslope?range="+rangeToUse+"&indicatorOnly=false&input1=20&token="+token
calc = calcIndicator(url, date, 0)
if (calc != None):
stocks.cell(rowIndex, colIndex).value = '=IF($Z$3="yes", {0}/$X{1}, {2})'.format(calc, rowIndex, calc)
elif (colIndex == lrs14Col):
rangeToUse = getNumDaysStr(date, 14, 0)
url = "https://cloud.iexapis.com/stable/stock/" + symbol + "/indicator/linregslope?range="+rangeToUse+"&indicatorOnly=false&input1=14&token="+token
calc = calcIndicator(url, date, 0)
if (calc != None):
stocks.cell(rowIndex, colIndex).value = '=IF($Z$3="yes", {0}/$X{1}, {2})'.format(calc, rowIndex, calc)
elif (colIndex == lrs8Col):
rangeToUse = getNumDaysStr(date, 8, 0)
url = "https://cloud.iexapis.com/stable/stock/" + symbol + "/indicator/linregslope?range="+rangeToUse+"&indicatorOnly=false&input1=8&token="+token
calc = calcIndicator(url, date, 0)
if (calc != None):
stocks.cell(rowIndex, colIndex).value = '=IF($Z$3="yes", {0}/$X{1}, {2})'.format(calc, rowIndex, calc)
# diff200_100 = column_index_from_string("AM")
# diff200_50 = column_index_from_string("AN")
# diff200_50d = column_index_from_string("AO")
# diff200_20 = column_index_from_string("AP")
# diff200_14 = column_index_from_string("AQ")
# diff200_8 = column_index_from_string("AR")
# diff100_50 = column_index_from_string("AS")
# diff100_50d = column_index_from_string("AT")
# diff100_20 = column_index_from_string("AU")
# diff100_14 = column_index_from_string("AV")
# diff100_8 = column_index_from_string("AW")
# diff50d_50 = column_index_from_string("AX")
# diff50d_20 = column_index_from_string("AY")
# diff50d_14 = column_index_from_string("AZ")
# diff100_8 = column_index_from_string("BA")
# diff50_20 = column_index_from_string("BB")
# diff50_14 = column_index_from_string("BC")
# diff50_8 = column_index_from_string("BD")
# diff20_14 = column_index_from_string("BE")
# diff20_8 = column_index_from_string("BF")
# diff14_8 = column_index_from_string("BG")
# diffall = column_index_from_string("BH")
elif (colIndex == diff200_100):
first = stocks.cell(rowIndex, sma200Col).value
second = stocks.cell(rowIndex, sma100Col).value
print(first, second)
if (first != None and second != None):
try:
numerator = abs(first - second)
stocks.cell(rowIndex, colIndex).value = '=IF($Z$3="yes", {0}/$X{1}, {2})'.format(numerator, rowIndex, numerator)
first = numerator
except Exception as ex:
print(ex)
elif (colIndex == diff200_50):
first = stocks.cell(rowIndex, sma200Col).value
second = stocks.cell(rowIndex, sma50Col).value
if (first != None and second != None):
try:
numerator = abs(first - second)
stocks.cell(rowIndex, colIndex).value = '=IF($Z$3="yes", {0}/$X{1}, {2})'.format(numerator, rowIndex, numerator)
second = numerator
except Exception as ex:
print(ex)
elif (colIndex == diff200_50d):
first = stocks.cell(rowIndex, sma200Col).value
second = stocks.cell(rowIndex, dma50Col).value
if (first != None and second != None):
try:
numerator = abs(first - second)
stocks.cell(rowIndex, colIndex).value = '=IF($Z$3="yes", {0}/$X{1}, {2})'.format(numerator, rowIndex, numerator)
third = numerator
except Exception as ex:
print(ex)
elif (colIndex == diff200_20):
first = stocks.cell(rowIndex, sma200Col).value
second = stocks.cell(rowIndex, sma20Col).value
if (first != None and second != None):
try:
numerator = abs(first - second)
stocks.cell(rowIndex, colIndex).value = '=IF($Z$3="yes", {0}/$X{1}, {2})'.format(numerator, rowIndex, numerator)
fourth = numerator
except Exception as ex:
print(ex)
elif (colIndex == diff200_14):
first = stocks.cell(rowIndex, sma200Col).value
second = stocks.cell(rowIndex, sma14Col).value
if (first != None and second != None):
try:
numerator = abs(first - second)
stocks.cell(rowIndex, colIndex).value = '=IF($Z$3="yes", {0}/$X{1}, {2})'.format(numerator, rowIndex, numerator)
fifth = numerator
except Exception as ex:
print(ex)
elif (colIndex == diff200_8):
first = stocks.cell(rowIndex, sma200Col).value
second = stocks.cell(rowIndex, sma8Col).value
if (first != None and second != None):
try:
numerator = abs(first - second)
stocks.cell(rowIndex, colIndex).value = '=IF($Z$3="yes", {0}/$X{1}, {2})'.format(numerator, rowIndex, numerator)
sixth = numerator
except Exception as ex:
print(ex)
elif (colIndex == diff100_50):
first = stocks.cell(rowIndex, sma100Col).value
second = stocks.cell(rowIndex, sma50Col).value
if (first != None and second != None):
try:
numerator = abs(first - second)
stocks.cell(rowIndex, colIndex).value = '=IF($Z$3="yes", {0}/$X{1}, {2})'.format(numerator, rowIndex, numerator)
seventh = numerator
except Exception as ex:
print(ex)
elif (colIndex == diff100_50d):
first = stocks.cell(rowIndex, sma100Col).value
second = stocks.cell(rowIndex, dma50Col).value
if (first != None and second != None):
try:
numerator = abs(first - second)
stocks.cell(rowIndex, colIndex).value = '=IF($Z$3="yes", {0}/$X{1}, {2})'.format(numerator, rowIndex, numerator)
eighth = numerator
except Exception as ex:
print(ex)
elif (colIndex == diff100_20):
first = stocks.cell(rowIndex, sma100Col).value
second = stocks.cell(rowIndex, sma20Col).value
if (first != None and second != None):
try:
numerator = abs(first - second)
stocks.cell(rowIndex, colIndex).value = '=IF($Z$3="yes", {0}/$X{1}, {2})'.format(numerator, rowIndex, numerator)
ninth = numerator
except Exception as ex:
print(ex)
elif (colIndex == diff100_14):
first = stocks.cell(rowIndex, sma100Col).value
second = stocks.cell(rowIndex, sma14Col).value
if (first != None and second != None):
try:
numerator = abs(first - second)
stocks.cell(rowIndex, colIndex).value = '=IF($Z$3="yes", {0}/$X{1}, {2})'.format(numerator, rowIndex, numerator)
tenth = numerator
except Exception as ex:
print(ex)
elif (colIndex == diff100_8):
first = stocks.cell(rowIndex, sma100Col).value
second = stocks.cell(rowIndex, sma8Col).value
if (first != None and second != None):
try:
numerator = abs(first - second)
stocks.cell(rowIndex, colIndex).value = '=IF($Z$3="yes", {0}/$X{1}, {2})'.format(numerator, rowIndex, numerator)
eleventh = numerator
except Exception as ex:
print(ex)
elif (colIndex == diff50d_50):
first = stocks.cell(rowIndex, dma50Col).value
second = stocks.cell(rowIndex, sma50Col).value
if (first != None and second != None):
try:
numerator = abs(first - second)
stocks.cell(rowIndex, colIndex).value = '=IF($Z$3="yes", {0}/$X{1}, {2})'.format(numerator, rowIndex, numerator)
twelveth = numerator
except Exception as ex:
print(ex)
elif (colIndex == diff50d_20):
first = stocks.cell(rowIndex, dma50Col).value
second = stocks.cell(rowIndex, sma20Col).value
if (first != None and second != None):
try:
numerator = abs(first - second)
stocks.cell(rowIndex, colIndex).value = '=IF($Z$3="yes", {0}/$X{1}, {2})'.format(numerator, rowIndex, numerator)
thirteenth = numerator
except Exception as ex:
print(ex)
elif (colIndex == diff50d_14):
first = stocks.cell(rowIndex, dma50Col).value
second = stocks.cell(rowIndex, sma14Col).value
if (first != None and second != None):
try:
numerator = abs(first - second)
stocks.cell(rowIndex, colIndex).value = '=IF($Z$3="yes", {0}/$X{1}, {2})'.format(numerator, rowIndex, numerator)
fourtheenth = numerator
except Exception as ex:
print(ex)
elif (colIndex == diff50d_8):
first = stocks.cell(rowIndex, dma50Col).value
second = stocks.cell(rowIndex, sma8Col).value
if (first != None and second != None):
try:
numerator = abs(first - second)
stocks.cell(rowIndex, colIndex).value = '=IF($Z$3="yes", {0}/$X{1}, {2})'.format(numerator, rowIndex, numerator)
fifteenth = numerator
except Exception as ex:
print(ex)
elif (colIndex == diff50_20):
first = stocks.cell(rowIndex, sma50Col).value
second = stocks.cell(rowIndex, sma20Col).value
if (first != None and second != None):
try:
numerator = abs(first - second)
stocks.cell(rowIndex, colIndex).value = '=IF($Z$3="yes", {0}/$X{1}, {2})'.format(numerator, rowIndex, numerator)
sixteenth = numerator
except Exception as ex:
print(ex)
elif (colIndex == diff50_14):
first = stocks.cell(rowIndex, sma50Col).value
second = stocks.cell(rowIndex, sma14Col).value
if (first != None and second != None):
try:
numerator = abs(first - second)
stocks.cell(rowIndex, colIndex).value = '=IF($Z$3="yes", {0}/$X{1}, {2})'.format(numerator, rowIndex, numerator)
seventeenth = numerator
except Exception as ex:
print(ex)
elif (colIndex == diff50_8):
first = stocks.cell(rowIndex, sma50Col).value
second = stocks.cell(rowIndex, sma8Col).value
if (first != None and second != None):
try:
numerator = abs(first - second)
stocks.cell(rowIndex, colIndex).value = '=IF($Z$3="yes", {0}/$X{1}, {2})'.format(numerator, rowIndex, numerator)
eigtheenth = numerator
except Exception as ex:
print(ex)
elif (colIndex == diff20_14):
first = stocks.cell(rowIndex, sma20Col).value
second = stocks.cell(rowIndex, sma14Col).value
if (first != None and second != None):
try:
numerator = abs(first - second)
stocks.cell(rowIndex, colIndex).value = '=IF($Z$3="yes", {0}/$X{1}, {2})'.format(numerator, rowIndex, numerator)
nineteenth = numerator
except Exception as ex:
print(ex)
elif (colIndex == diff20_8):
first = stocks.cell(rowIndex, sma20Col).value
second = stocks.cell(rowIndex, sma8Col).value
if (first != None and second != None):
try:
numerator = abs(first - second)
stocks.cell(rowIndex, colIndex).value = '=IF($Z$3="yes", {0}/$X{1}, {2})'.format(numerator, rowIndex, numerator)
twentieth = numerator
except Exception as ex:
print(ex)
elif (colIndex == diff14_8):
first = stocks.cell(rowIndex, sma14Col).value
second = stocks.cell(rowIndex, sma8Col).value
if (first != None and second != None):
try:
numerator = abs(first - second)
stocks.cell(rowIndex, colIndex).value = '=IF($Z$3="yes", {0}/$X{1}, {2})'.format(numerator, rowIndex, numerator)
twentifirst = numerator
except Exception as ex:
print(ex)
elif (colIndex == diffall):
try:
numerator = (first + second + third + fourth + fifth + sixth + seventh + eighth + ninth + tenth + eleventh + twelveth +thirteenth + fourtheenth + fifteenth + sixteenth + seventeenth + eigtheenth + nineteenth + twentieth + twentifirst)/21
stocks.cell(rowIndex, colIndex).value = '=IF($Z$3="yes", {0}/$X{1}, {2})'.format(numerator, rowIndex, numerator)
# first = 0
# second = 0
# third = 0
# fourth = 0
# fifth = 0
# sixth = 0
# seventh = 0
# eighth = 0
# ninth = 0
# tenth = 0
# eleventh = 0
# twelveth = 0
# thirteenth = 0