Created
May 17, 2020 13:03
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Stock returns for Tesla for a 5 yr period
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| # -*- coding: utf-8 -*- | |
| """ | |
| Created on Tue May 12 20:26:35 2020 | |
| @author: User | |
| """ | |
| import numpy as np | |
| import pandas as pd | |
| import matplotlib.pyplot as plt | |
| tesla = pd.read_csv('C:\\Users\\User\\Dropbox\\My PC (DESKTOP-78513LN)\\Desktop\\Python programming\\Python for Financial analysis & Algo trading\\Python-for-Finance-Repo-master\\07-Stock-Market-Analysis-Capstone-Project\\Tesla_Stock.csv') | |
| tesla.head() | |
| tesla['Open'].plot(label='Tesla', title = 'Opening prices') | |
| tesla['Volume'].plot(label='Tesla', title = 'Volumes Traded') | |
| plt.legend() | |
| tesla['Volume'].argmax() | |
| tesla['Total Traded'] = tesla['Open']*tesla['Volume'] | |
| tesla['Total Traded'].plot(label='Tesla') | |
| tesla['MA50']= tesla['Open'].rolling(50).mean() | |
| tesla['MA200']= tesla['Open'].rolling(200).mean() | |
| tesla[['Open', 'MA50', 'MA200']].plot() | |
| #from mpl_finance import candlestick_ohlc | |
| #from matplotlib.dates import DateFormatter,date2num, WeekdayLocator, DayLocator, MONDAY | |
| #tesla_reset = tesla.loc['2012-01'].reset_index() | |
| tesla['returns'] = tesla['Close'].pct_change() | |
| tesla['returns'].hist(bins=100, label= 'Tesla') | |
| tesla['Cumulative Returns'] = (1+ tesla['returns']).cumprod() | |
| tesla['Cumulative Returns'].plot(label='Tesla') |
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