Fandamental Statistics and Data Science. The scope of this project was to create a statistical report that compiles real- time data on stock prices for prominent US corporations such as Microsoft, Apple and Tesla in order to analyse the performance of their stock, by performing a descriptive and regression analysis.

1. STOCK PRICE
ANALYSIS
Atsuya Shimokawa

2. AGENDA
Analyze data
Excel
Visualize data
Python
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3. Project Description
STOCK PRICE ANALYSIS
Analyzing live data stock values of major companies
(Microsoft, Apple, Tesla) from 2018 to 2023 sourced
from Yahoo Finance.
Time series data is a series of data points indexed in
time order. Time series data is every where, so
manipulation them is important for any data analyst
or data scientist.
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4. ANALYZE DATA
i n E x c e l

5. Histograms / Descriptive Statistics
Tesla
Mean 131.7902812
Standard Error 3.272219195
Median 97.6400035
Mode 23.620667
Standard Deviation 116.9789759
Sample Variance 13684.08079
Kurtosis -1.260371058
Skewness 0.468792298
Range 398.038668
Minimum 11.931333
Maximum 409.970001
Sum 168427.9793
Count 1278
Microsoft
Mean 190.8267835
Standard Error 2.103222362
Median 198.8247145
Mode 89.883148
Standard Deviation 75.18836093
Sample Variance 5653.28962
Kurtosis -1.310573841
Skewness 0.140260764
Range 259.869614
Minimum 80.055191
Maximum 339.924805
Sum 243876.6293
Count 1278
Apple
Mean 97.38823308
Standard Error 1.302620443
Median 94.1483495
Mode 41.246353
Standard Deviation 46.56754217
Sample Variance 2168.535984
Kurtosis -1.580637888
Skewness 0.123055369
Range 146.650146
Minimum 34.309586
Maximum 180.959732
Sum 124462.1619
Count 1278

6. Stock Price Trend Analysis
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0
50
100
150
200
250
300
350
400
450
Date
1/25/2018
2/20/2018
3/15/2018
4/10/2018
5/3/2018
5/29/2018
6/21/2018
7/17/2018
8/9/2018
9/4/2018
9/27/2018
10/22/2018
11/14/2018
12/11/2018
1/7/2019
1/31/2019
2/26/2019
3/21/2019
4/15/2019
5/9/2019
6/4/2019
6/27/2019
7/23/2019
8/15/2019
9/10/2019
10/3/2019
10/28/2019
11/20/2019
12/16/2019
1/10/2020
2/5/2020
3/2/2020
3/25/2020
4/20/2020
5/13/2020
6/8/2020
7/1/2020
7/27/2020
8/19/2020
9/14/2020
10/7/2020
10/30/2020
11/24/2020
12/18/2020
1/14/2021
2/9/2021
3/5/2021
3/30/2021
4/23/2021
5/18/2021
6/11/2021
7/7/2021
7/30/2021
8/24/2021
9/17/2021
10/12/2021
11/4/2021
11/30/2021
12/23/2021
1/19/2022
2/11/2022
3/9/2022
4/1/2022
4/27/2022
5/20/2022
6/15/2022
7/12/2022
8/4/2022
8/29/2022
9/22/2022
10/17/2022
11/9/2022
12/5/2022
12/29/2022
1/25/2023
Growth Comparison of Microsoft, Tesla & Apple
MSFT Tesla Apple

7. REGRESSION ANALYSIS STOCK PRICE ANALYSIS
S&P 500 Microsoft
Beta Value: 1.2139
R-squared: 0.603
Apple
Beta Value: 1.3292
R-squared: 0.548
Tesla
Beta Value: 1.8178
R-squared of 0.231
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8. REGRESSION
ANALYSIS
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-0.1
-0.08
-0.06
-0.04
-0.02
0
0.02
0.04
0.06
0.08
-0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4
Tesla v/s SP500 Line Fit Plot
SUMMARY
OUTPUT
Regression Statistics
Multiple R 0.480470574
R Square 0.230851972
Adjusted R
Square 0.230248719
Standard Error 0.038267462
Observations 1277
ANOVA
df SS MS F
Significance
F
Regression 1 0.5603936 0.5603936 382.67831 9.9458E-75
Residual 1275 1.8671083 0.0014644
Total 1276 2.4275019
Coefficients
Standard
Error t Stat P-value Lower 95%
Upper
95%
Lower
95.0%
Upper
95.0%
Intercept 0.002159773 0.0010711 2.0163539 0.0439723 5.8406E-05 0.004261 5.84E-05 0.0042611
SP%chng 1.817793486 0.0929239 19.562165 9.946E-75 1.63549285 2.000094 1.635493 2.0000941

9. REGRESSION
ANALYSIS
9
-0.1
-0.08
-0.06
-0.04
-0.02
0
0.02
0.04
0.06
0.08
-0.1 -0.05 0 0.05 0.1 0.15
Apple v/s SP500 Line Fit Plot
SUMMARY
OUTPUT
Regression Statistics
Multiple R 0.740343
R Square 0.548108
Adjusted R
Square 0.547754
Standard Error 0.01392
Observations 1277
ANOVA
df SS MS F Significance F
Regression 1 0.299633 0.299633 1546.471 3.6639E-222
Residual 1275 0.247034 0.000194
Total 1276 0.546667
Coefficien
ts
Standard
Error t Stat P-value Lower 95%
Upper
95%
Lower
95.0%
Upper
95.0%
Intercept 0.000835 0.00039 2.142642 0.032331 7.04483E-05 0.001599 7.04E-05 0.001599
SP%chng 1.329207 0.0338 39.3252 3.7E-222 1.262896286 1.395517 1.262896 1.395517

10. REGRESSION
ANALYSIS
10
-0.1
-0.08
-0.06
-0.04
-0.02
0
0.02
0.04
0.06
0.08
-0.1 -0.08 -0.06 -0.04 -0.02 0 0.02 0.04 0.06 0.08 0.1
Microsoft v/s SP500 Line Fit Plot
SUMMARY
OUTPUT
Regression Statistics
Multiple R 0.776762
R Square 0.603359
Adjusted R
Square 0.603048
Standard
Error 0.011351
Observations 1277
ANOVA
df SS MS F Significance F
Regression 1 0.2499 0.2499 1939.496 2.7341E-258
Residual 1275 0.164281 0.000129
Total 1276 0.414181
Coefficie
nts
Standard
Error t Stat P-value Lower 95%
Upper
95%
Lower
95.0% Upper 95.0%
Intercept 0.000669 0.000318 2.106468 0.035359 4.59562E-05 0.001293 4.6E-05 0.001292595
SP%chng 1.213895 0.027564 44.03971 2.7E-258 1.159819823 1.26797 1.15982 1.267969977

11. VISUALIZE DATA
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I executed stock information using the yfinance API and
visualized different aspects of it using seaborn and
matplotlib.

12. Standard benchmarks for investors
Closing price Volume of sale Moving average

13. Daily return – histogram / kde plot

14. Daily percentage return of two stocks.
A stock compared to itself and other.

15. Relation on daily returns between all the
stocks

16. CORRELATION PLOT STOCK PRICE ANALYSIS
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17. STANDARD DEVIATION OF RETURNS
HOW MUCH VALUE DO WE PUT AT RISK
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18. Summary
This presentation provides a
comprehensive analysis of the stock
market performance of three major tech
giants – Microsoft, Apple, and Tesla –
over the period from 2018 to 2023.
The analysis presented a
multidimensional view of financial risk
in the stock market. While Microsoft
emerged as a relatively stable entity,
Apple showcased consistent growth
with moderate volatility. Tesla, on the
other hand, stood out for its high-risk,
high-reward profile.
STOCK
PRICE
ANALYSIS
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19. THANK YOU
STOCK
PRICE
ANALYSIS
Atsuya Shimokawa
Harry.s1227@gmail.com
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