Samsung Electronics 10-year stock price changes: An exciting stock journey explored with an error bar graph

Hello, everyone interested in investing in stocks! Today we have a really exciting topic for you. We're talking about the 10-year stock price of Samsung Electronics.Errorbar Graph' You've probably looked at a stock chart and thought, "Uh, what does this mean?"

삼성전자 10년 주가 변동 그래프 - 에러바 포함
(Samsung Electronics 10-year stock price change graph - with error bars)

Today's post will answer those questions, plus give you a chance to try out the Python You'll also get a taste of the world of data analysis as you plot graphs in code. Let's follow Samsung Electronics' 10-year stock price journey.

Samsung Electronics 10-Year Stock Price: A Rollercoaster Journey

Samsung Electronics is an iconic South Korean company and a global player, so its stock price is always a hot topic of interest. How has its stock price fared over the past decade?

If you look at Samsung Electronics' stock price from 2014 to 2024, it's a roller coaster ride. The company's stock price hit a record high in early 2021, earning the nickname "90,000 electrons," but it's been on a downward spiral ever since, breaking investors' hearts.

Samsung Electronics stock price volatility in an error bar graph

We're going to use our own Python code to plot an error bar graph of the 10-year stock price of Samsung Electronics, which is a great visual representation of the volatility of data. It's very useful because you can see at a glance how much the stock price has fluctuated along with its average value.

import yfinance as yf
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

Import # Samsung Electronics data (last 10 years)
ticker = "005930.KS"
data = yf.download(ticker, period="10y")

Calculate # monthly mean and standard deviation
data['Month'] = data.index.to_period('M')
monthly_data = data.groupby('Month').agg({
    'Adj Close': ['mean', 'std']
}).reset_index()

# Change multi-level columns to a single level
monthly_data.columns = ['Month', 'mean', 'std']
monthly_data['Month'] = monthly_data['Month'].astype(str)

Prepare the # data
months = monthly_data['Month']
mean_prices = monthly_data['mean']
std_prices = monthly_data['std']

Generate a # error bar graph
plt.figure(figsize=(15, 8))
plt.errorbar(months, mean_prices, yerr=std_prices, fmt='o', capsize=5, capthick=2, label='Monthly Prices')

Styling the # graph
plt.title("Samsung Electronics Monthly Stock Prices with Error Bars (10 Years)", fontsize=15)
plt.xlabel("Month", fontsize=12)
plt.ylabel("Stock Price (KRW)", fontsize=12)
plt.xticks(rotation=90)
plt.legend()

Set the # y-axis range
plt.ylim(mean_prices.min() - std_prices.max(), mean_prices.max() + std_prices.max())

Add the # grid
plt.grid(True, linestyle='--', alpha=0.7)

Output the # graph
plt.tight_layout()
plt.show()

Code commentary

  1. Import the required libraries.
  2. Use yfinance to download 10-year stock price data for Samsung Electronics (005930.KS).
  3. Group the data by month, and calculate the average stock price and standard deviation for each month.
  4. Create an error bar graph using matplotlib, where each point represents the average stock price per month and the error bars represent the standard deviation.
  5. Set the graph's title, axis labels, and more, and rotate the x-axis label 90 degrees for better readability.
  6. Adjust the range of the y-axis to fit the data, and add a grid to improve readability.
  7. Finally, display the graph on the screen.

Samsung Electronics 10-year stock price analysis: What does it tell us?

This error bar graph shows us the volatility of Samsung Electronics' stock price at a glance. A long error bar indicates that the stock price fluctuated a lot during the month, while a short error bar indicates that it was relatively stable.

Of particular note is the high share price at the beginning of 2021 and the subsequent decline. You can clearly see the peak of the so-called "90,000 electrons" and the changes since then in this graph. It's also easy to see the recent share price trends in this graph.

Implications for investors

삼성전자 10년 주가 분석 시사점

By analyzing Samsung Electronics' 10-year stock price, we can draw some important conclusions:

  1. The importance of investing for the long term: Don't get caught up in short-term fluctuations.
  2. Manage volatility: Understand the volatility of stock prices and plan your investment strategy accordingly.
  3. Identify industry trends: Consider how changes in the semiconductor market will affect Samsung Electronics stock price.

Closing thoughts

Today, we analyzed the 10-year stock price of Samsung Electronics using an error bar graph, which reminded us of the volatility of the stock market and the importance of investing for the long term. Why not try this method of analysis yourself? The world of investing is always exciting!

Finally, remember that investing should always be done with caution. This analysis is only a guide, and the actual investment decision is up to you. Always synthesize different information, seek professional advice, and invest wisely. We wish you the best of luck on your investment journey!

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