markusrenepae

import java.io.DataInputStream;
import java.io.DataOutputStream;
import java.io.IOException;
import java.net.Socket;

/**
 * Created by Markus on 01/04/2017.
 */
public class Client {
    public static void main(String[] args) throws IOException {

markusrenepae

package CRS;

import java.io.DataInputStream;
import java.io.DataOutputStream;
import java.io.IOException;
import java.net.Socket;
import java.time.Instant;
import java.time.ZonedDateTime;
import java.time.temporal.ChronoUnit;
import java.util.Objects;

markusrenepae

import numpy as np
import matplotlib.pyplot as plt

def average(lst): 
    return sum(lst) / len(lst)
    
  
def findss(lst):
    # finds the sum of squares
    ss = 0

markusrenepae

import imageio
import os
import matplotlib.pyplot as plt

lst1 = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]
lst2 = [5, 4, 3, 5, 6, 5, 8, 7, 8, 10, 5, 6]
lst3 = [9, 6, 6, 7, 6, 4, 6, 9, 11, 8, 7, 4]


def createfiles():

markusrenepae

MSFT
AAPL
AMZN
FB
JPM
GOOGL
GOOG
JNJ
V
PG

markusrenepae

import pandas as pd

stocks = []
f = open("symbols.txt", "r")
for line in f:
    stocks.append(line.strip())

f.close()

volumes = pd.read_csv("volume.csv")

markusrenepae

import pandas as pd
import numpy as np
import datetime as dt
import math
import warnings

warnings.filterwarnings("ignore")

prices = pd.read_csv("adjclose.csv", index_col="Date", parse_dates=True)
volumechanges = pd.read_csv("volume.csv", index_col="Date", parse_dates=True).pct_change()*100

markusrenepae

import pyautogui as pag
import time
import copy

sudoku =    [[0, 0, 0, 0, 0, 0, 0, 0, 0], 
            [0, 0, 0, 0, 0, 0, 0, 0, 0], 
            [0, 0, 0, 0, 0, 0, 0, 0, 0], 
            [0, 0, 0, 0, 0, 0, 0, 0, 0], 
            [0, 0, 0, 0, 0, 0, 0, 0, 0], 
            [0, 0, 0, 0, 0, 0, 0, 0, 0], 

markusrenepae

import numpy as np
import pandas as pd
from pandas_datareader import data as wb
import matplotlib.pyplot as plt
from scipy.stats import norm

ticker = 'BA'
data = pd.DataFrame()
data[ticker] = wb.DataReader(ticker, data_source='yahoo', start='2015-1-1')['Adj Close']
plt.figure(figsize=(10,6))

markusrenepae

import numpy as np
import time

length = 10
native_lst = [i for i in range(length)]

numpy_lst = np.array(native_lst)