Fetch the Stock Market Data for HighCharts

import json
import datetime, time
from datetime import date
import http.client

symbolList = ["MMM", "AXP", "AAPL", "BA", "CAT", "CVX", "CSCO", "KO", "DIS", "DD", "XOM", "GE", "GS", "HD", "IBM", "INTC", "JNJ", "JPM", "MCD", "MRK", "MSFT", "NKE", "PFE", "PG", "TRV", "UTX", "UNH", "VZ", "V", "WMT"]

def httpRequest(stockSymbol, numberOfDays):
    conn = http.client.HTTPConnection("dev.markitondemand.com:80")
    url = "/Api/v2/InteractiveChart/json?parameters={'Normalized':false,'NumberOfDays':" + str(numberOfDays) + ",'DataPeriod':'Day','Elements':[{'Symbol':'" + stockSymbol +  "','Type':'price','Params':['c']}]}"
    conn.request("GET", url)
    response = conn.getresponse().read()
    return response.decode('ascii')

def convertYahooFinanceToHighChartsJSON(jsonData): #YAHOO Finance JSON File Has a Specific Structure, and the HighStock Chart Has It's Own as Well. I have to Convert between the two
    #file = open(jsonFile) # open the json file
    #jsonData = file.read() # read the data
    counter = 0
    jsonDict = json.loads(jsonData) # convert JSON string to array
    resultDict = [] # this is where the result is
    exportFile = open(jsonDict["Elements"][0]["Symbol"] + ".json", "w")
    for record in range(len(jsonDict["Dates"])): # data we need is under query-result-quote
        #print(record)
        tempList = [] # for every quote we need to sore [JSTIMESTAMP, PRICE]
        recordList = jsonDict["Dates"][record][0:10].split("-") # split every date into components so they can be put into the datetime.date() function for the conversion to JS Time Stamp
        if int(recordList[0]) < 2010 or int(recordList[0]) > 2014:
            counter += 1
            continue
        tempDate = datetime.date(int(recordList[0]), int(recordList[1]), int(recordList[2]))
        jsDate = int(time.mktime(tempDate.timetuple())*1000)
        tempList.append(jsDate)
        tempList.append((float(jsonDict["Elements"][0]["DataSeries"]["close"]["values"][record])\
                        +float(jsonDict["Elements"][0]["DataSeries"]["close"]["values"][record]))/2) # average of high and low prices will be the value for a specific day
        if tempList != []:
            resultDict.append(tempList)
    print(counter)
    resultDict.sort()
    result = json.dumps(resultDict)
    exportFile.write(result)

exportFile.close()
    return result

for symbol in symbolList:
    print(symbol)
    jsonData = httpRequest(symbol, 2190)
    time.sleep(5)
    convertYahooFinanceToHighChartsJSON(jsonData)

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