Markus Rene Pae markusrenepae

math + finance + coding -> what could ever go wrong?

markusrenepae / Client.java

Created April 1, 2017 00:02

Server_project

	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 / Client.java

Created April 2, 2017 12:35

Klient

	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 / scores.py

Created December 28, 2019 16:31

This gist is for my Medium article and is about using linear regression in scoring systems.

	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 / gifcreator.py

Last active December 29, 2019 21:48

This gist is for my medium article about creating GIF images.

	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 / symbols.txt

Created December 31, 2019 00:33

List of symbols for medium article

markusrenepae / correlation.py

Created December 31, 2019 01:07

Code for medium correlation article.

	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 / simulator.py

Created January 2, 2020 22:22

This gist is for another medium article and is about an investment simulator.

	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 / sudoku.py

Last active September 4, 2020 18:24

This is a sudoku-solving code snippet. Used for my Medium article.

markusrenepae / mc.py

Created January 16, 2020 22:55

This gist is for MC simulation, at least the basics of it. Usage: Medium article

	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 / numpy1.py

Created January 18, 2020 00:26

First code snippet for Medium article about Numpy

	import numpy as np
	import time

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

	numpy_lst = np.array(native_lst)