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Boeing and Airbus Stock Market Preliminary Analysis and Buy/Sell simulation

Introduction

We live in the digitized era where more operations are done with computers. This is the same even for stock trading as many people are utilising machine learning and AI to develop new trading strategies.

This project explores the Boeing and Airbus stock data sets downloaded in csv format from Yahoo finance. Here we will learn about the basics of stock market technical analysis, basic python programming utilising the pandas, numpy, matplotlib, and plotly libraries for data analysis uses.

Understanding the data

Source: Guide to Technical Analysis https://www.investopedia.com/terms/t/technical-analysis-of-stocks-and-trends.asp

Here are some basic knowledge I have compiled from various sources as a simple literature review for this project.

Volume:

Measures the number of shares traded in a stock or contracts traded in futures or options. Volume can be an indicator of market strength, as rising markets on increasing volume are typically viewed as strong and healthy.

Open, High, Low, Close:

Measures the stock price when the market opens and closes along with the highest and lowest prices it has reached throughout the day. These are used for generating candlestick charts and they tell investors whether the closing price was higher or lower than the opening price (black/red if the stock closed lower, white/green if the stock closed higher).

Adj Close (Adjusted Close):

The adjusted closing price amends a stock's closing price to reflect that stock's value after accounting for any corporate actions. This factors in corporate actions, such as stock splits, dividends, and rights offerings that would overally affect the extrinsic value of the stock.

Objectives

  • Explore the field of stock market and finnancial analytics.
  • Learn basic understanding of stock market data and preliminary stock price analysis.
  • Practice data science techniques using Python and its libraries on a real world data set.

Contents

  • Data preparation and cleaning
  • Exploratory Data Analysis and Visualisation
  • Asking and Answering Questions:
    • How to measure the rate of return of each stocks?
    • What did Covid do to these stocks?
    • Run a comparison between the curent pandemic and the previous 2007 financial crisis.
  • Simple algorithimic trading simulation
project_name = "Stock-Market-Analysis-Eric" # change this
!pip install jovian --upgrade -q
import jovian