Skip to content

This study delves into the impact of COVID-19 on Netflix's stock performance from 2019 to 2022 by analyzing various key indicators. The indicators used in the analysis include the daily number of cases and deaths, data drift, and traditional stock market metrics.

License

Notifications You must be signed in to change notification settings

theidari/Netflix_Through_the_Pandemic

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

          It is no secret that Netflix, Inc. is the champion in the online streaming revolution. Its streaming platform allows users to watch ad-free content anytime and anywhere over the Internet. Its content library includes television shows, documentaries, and feature films covering a wide range of genres and languages. As of now, Netflix has over 208m paid subscribers worldwide, 74m of whom are in the USA. Such unlimited access to digital content has given rise to a growing trend known as “binge-watching”; the consumption of multiple episodes of a show in one sitting. For instance, Nielson has reported that 361,000 Netflix subscribers have seen all nine episodes of Stranger Things season 2 in one sitting within 24 h of its release.

Project Overview

Project Idea:
This project explores the impact of COVID-19 on Netflix's stock price from 2019 to 2022 through different indicators. These indicators include variables like the number of daily cases and the number of deaths.


Questions
Q1 Is there a relationship between the stock price vs. number of daily cases/death worldwide?
Q2 Is there a relationship between the stock price a week after the case count/death count vs. number of daily cases worldwide?
Q3 Is there a relationship between the stock price vs. number of daily cases/deaths by stock indicator?
Q4 Is the price movement an industry-wide trend?
compare Netflix with their main competitor Disney+

Methods, Software and Attribution

python v.3.9.13
jupyter notebook v.6.4.12 Visual Studio v.1.73.1 PowerPoint v.16.0.14026.20298
pandas v.1.4.4 SciPy v.1.9.3 Matplotlib v.3.6.0 yfinance 0.1.89 NumPy v.1.23.4 plotly 5.11.0 DateTime 4.7

How to Use

          Before start, you will need install the libraries, for example:
# yahoo finance installation
pip install yfinance

Team Members

     Ji Yeol (Eric) Yang
     Ali Taghipour Heidari
     Hammad Ahmed

TOP PAGE

Results


          Netflix Close Price from 2019 to end of 2022 and Covid-19 daily cases and deaths at the same time are are shown in figure [1] and figure [2] in order.

Fig [1]: Netflix Close Price Pre/During/Post Pandemic

Fig [2]: Covid-19 Daily Cases and Deaths


          Stock price vs. Number of daily cases showed weak negative correlation (-0.06) with statistical insignificance (p-value is 0.1129).But, Stock price vs. Number of deaths showed positive moderate correlation (0.69) with statistical significance.figure [3]

Fig [3]: Stock price vs. Number of Cases and Deaths

Same as pervious result, after a week lagged stock price vs. Number of daily cases showed weak negative correlation (-0.07) with statistical insignificance (p-value is 0.0784).But, Stock price vs. Number of deaths showed positive moderate correlation (0.69) with statistical significance.figure [4]

Fig [4]: Stock price vs. Number of Cases and Deaths a week after lagged


1. Simple Moving Average (SMA) Indicator
          SMA is the easiest moving average to construct. It is simply the average price over the specified period. The average is called "moving" because it is plotted on the chart bar by bar, forming a line that moves along the chart as the average value changes. figure [5] shows monthly and seasenaly moving average for netflix stock.

Fig [5]: Netflix SMA & Buy/Sell signal


For the SMA Indicator depending on the true buy and sell signal, we broke the time into 4 stages, 2020/01/22 to 2020/11/23 (A), 2020/12/29 to 2021/04/01 (B), 2021/07/15 to 2021/12/31 (C), and 2022/01/01 to 2022/06/09. From 2020/01/22 to 2020/11/23 (A) Netflix price vs. the Number of daily cases/ deaths, showed a moderate to strong positive correlation (0.75 Cases / 0.67 Deaths) with statistical significance. But this result is not repeated from 2020/12/29 to 2021/12/31 (B, C). in this point, Netflix price vs. the Number of daily cases/ deaths has a negative very-week and week correlation in most parts (B: -0.3 Cases / 0.2 Deaths and C: -0.17 Cases) with statistical insignificance (p-value: 0.116 and 0.059) except (C:-0.57 Deaths) with moderate negative correlation with statistical significance. In the last part (D), Netflix price vs. the Number of daily cases/ deaths showed a strong positive correlation (0.82 Cases / 0.71 Deaths) with statistical significance. Figure [6]

Fig [6]: Stock price vs. Number of Cases and Deaths by SMA & Buy/Sell signal

2. IchimokuCloud Indicator
          The IchimokuKinko Hyo, or Ichimoku for short, is a technical indicator that is used to gauge momentum along with future areas of support and resistance.
Fig [7]: Netflix IchimokuCloud


For the IchimokuCloud Indicator depending on gauge momentum, we broke the time into 3 stages, 2020/01/22 to 2020/12/31(A), 2021/01/01 to 2021/08/31 (B), and 2021/09/01 to 2022/02/01 (C). From 2020/01/22 to 2020/12/31 (main covid year) Netflix price vs. the Number of daily cases/ deaths showed a strong positive correlation (0.75 Cases / 0.69 Deaths) with statistical significance. But this result is not repeated in the next 2 years (B, C). B has a very-week correlation (-0.05 Cases / 0.06 Deaths) with statistical insignificance (p-value: 0.481 and 0.417) and C has a strong negative correlation for Cases (-0.82) and negative week correlation for deaths (0.49) with statistical significance. Figure [8]

Fig [8]: Stock price vs. Number of Cases and Deaths by IchimokuCloud

3. Average directional index (ADX) Indicator
          ADX stands for Average Directional Movement Index and can be used to help measure the overall strength of a trend. The ADX indicator is an average of expanding price range values. The ADX is a component of the Directional Movement System developed by Welles Wilder.
Fig [9]: Netflix ADX


For the Average directional index (ADX) Indicator depending on ADX of less than 25% because it is not used by traders and the trend is not strong enough, we had 3 steps around the covid year, ADX 14 Days < 25% (A), ADX Month < 25% (B), and Both ADX < 25% (C). All these steps showed moderate correlation with statistical significance.Figure [10]

Fig [10]: Stock price vs. Number of Cases and Deaths by ADX

4. Stochastic Oscillator
          The stochastic oscillator is a momentum indicator that is widely used in forex trading to pinpoint potential trend reversals. This indicator measures momentum by comparing the close price to the trading range over a given period.

Fig [11]: Netflix Stochastic Oscillator


For the Stochastic Oscillator Indicator depending on the trading range, we had 2 steps around the covid year, 20%<oscillator< 80% (A), 20%>oscillator> 80% (B). Both oscillators showed a moderate positive correlation (A: 0.5 and B:0.68) in Death with statistical significance.

Fig [12]: Stock price vs. Number of Cases and Deaths by Stochastic Oscillator

5. Relative Strength Index(RSI) Indicator
          Readings below 30 generally indicate that the stock is oversold, while readings above 70 indicate that it is overbought. Traders will often place this RSI chart below the price chart for the security, so they can compare its recent momentum against its market price.

Fig [11]: Netflix RSI


For RSI Indicator depending on the trader’s behavior, we had 2 steps around the covid year, regular 30%oscillator> 70% (B). similar to stochastic oscillator behaviors showed a moderate to strong positive correlation (A: 0.5 and B:0.7) in Death with statistical significance.
Fig [14]: Stock price vs. Number of Cases and Deaths by RSI


          Netflix's stock closing price is more than Disney's stock closing price.

Fig [15]: Netflix stock price vs. Disney's stock price

          Netflix's stock movement is oppositely related to Disney's stock movement.
Fig [16]: Netflix vs. Disney's Movement



Documents and Reference

Documents

Data Source
[1] Netflix Stock Price Data set 2002-2022
[2] Daily confirmed COVID-19 cases and deaths, World
[3] Yahoo! Finance

Code
[1]Functions
[2]Main Code

Result Output
[1]Figures

Result DataFrame
[1]Stock Analaysis

Reference

[1]10 Trading Indicators Every Trader Should Know
[2]ADX

TOP PAGE

About

This study delves into the impact of COVID-19 on Netflix's stock performance from 2019 to 2022 by analyzing various key indicators. The indicators used in the analysis include the daily number of cases and deaths, data drift, and traditional stock market metrics.

Topics

Resources

License

Stars

Watchers

Forks

Contributors 4

  •  
  •  
  •  
  •