Hello friends. In this demo I will show how to calculate the moving average of a company’s stocks. In finance, this means the average of a section of stock volumes, which moves through every section of a company’s stock. In this demo, I will use AAPL(Apple)’s stocks.
Here is the demo:
Here is the code:
import numpy as np from matplotlib import pyplot as plt import csv mavg2 =  calcedStockDates1 =  stockDates =  stockFind =  dataDates =  data =  def getShares(): iterate = 0 with open('aapl2.csv', 'r') as csvfile: reader = csv.reader(csvfile, delimiter = ' ', quotechar = '|') for row in reader: if iterate != 0: string = ', '.join(row); data = string.split(",") dataDates = string.split("-") stockDates.append(int(dataDates)) stockFind.append(int(data)) iterate += 1 def calcMavg(rnge): mvg =  for i in range(len(stockFind) - rnge): if i != 0: avg = 0 for n in range(rnge): avg += stockFind[i + n] mvg.append(avg/rnge) return mvg def calcCsds(rnge): csds =  for i in range(len(stockFind) - rnge): if i != 0: csds.append(stockDates[i + rnge]) return csds def plotMavg(mvg,csds): plt.plot(csds, mvg, linestyle='-', marker='*') getShares() mavg = calcMavg(5) calcedStockDates1 = calcCsds(5) plotMavg(mavg, calcedStockDates1) plt.title("Moving average calculation (* = mavg)") plt.xlabel("Every five days from start") plt.ylabel("Mavg") plt.show()</pre> <pre>