welcron 065950 Algorithm Investment Report

1. Performance Analysis of Algorithm (consolidated) 065950 Date
Period 3 months 100-m won
2016.12 2017.12 2018.12 Average 2018.12 2019.03 2019.06 2019.09 2019.12 2020.03
IFRS(Con) IFRS(Con) IFRS(Con) IFRS(Con) IFRS(Con) IFRS(Con) IFRS(Con) IFRS(Con) IFRS(Con) IFRS(Con) IFRS(Con)
Sales 2,515 3,786 3,948 3,416 1,143 761 975 966 946 926 961
O-profit 3 56 101 53 112 -8 44 -62 -124 -250 22
N-income -26 -64 65 -8 198 -23 10 -117 -600 -3,076 17
O-rate 0.1 1.5 2.6 1.4 9.8 -1.1 4.5 -6.4 -13.2 -26.9 1.7
N-rate -1.0 -1.7 1.6 -0.4 17.3 -3.0 1.0 -12.1 -63.4 -332.0 0.8
ROE -2.0 -5.1 4.6 -0.8 56.6 25.1 28.2 18.6 -11.5 -142.7 32.1
Debt-ratio 124.1 155.0 147.1 142.1 147.1 143.3 147.0 155.0 157.6 160.3 148.1
Quick-ratio 101.9 109.2 90.1 100.4 90.1 86.7 90.1 83.0 82.4 82.2 87.4
reserve-ratio 208.7 189.8 270.5 223.0 270.5 279.3 282.4 264.0 215.4 39.2 274.0
EPS -93 -229 232 -30 707 -82 36 -418 -2,143 -10,988 61
BPS 4,648 4,505 4,998 4,717 4,998 5,055 5,102 4,698 4,606 4,517 4,963
Dividends 0 0 0 0
2020-02-05
Major
Financial
Informatio
n
Recent Annual Performance Recent quarterly performance Estimate
Average
Gap
(Indication /
stock)
Color
High price ~ 65 %
High mid ~ 43 %
Mid ~ 21 %
Low mid ~ -1 %
Low price ~ -23 %
Indication price Range Current stock price Company score
10,235 W 10,235 W 8,665 W
8,665 W 8,665 W 7,094 W Evaluation
11,805 W 11,805 W~ 10,235 W
7,150 W
54.47,094 W 7,094 W 5,524 W
Mid
Normal
5,524 W 5,524 W 0 W
Industrial name of the company
The number of
All industries
Algorithm
Industry ranking
Total number of
listed companies
Algorithm
company ranking
Investment
opinion
Construction 79 17 3,122 763
5,524원
7,094원
8,665원
10,235원
11,805원
Mid 7,150원
-23%
-1%
21.2%
43.1%
65.1%
-30%
-20%
-10%
0.%
10.%
20.%
30.%
40.%
50.%
60.%
70.%
0W
2,000W
4,000W
6,000W
8,000W
10,000W
12,000W
14,000W
Low price Low mid Mid High mid High price
Indication price chart (Consolidated)
Indication price
welcron
Gap
welcron

2. [Price for scheduled purchasing]
Arbitrarily made
Algorithm stocks Trading Strategies (consolidated) 065950 Date
Period
Gap
(Indication /
stock)
Color
2020-02-05
3 months
Current stock price Evaluation
Stock price rise
probability score
Investment opinion Prospective purchase amount
7,150 W Mid 44.7 Normal 3,000,000 W
Suggested Purchase
Amount 1,143,383 W
Number of stocks
purchased 160
Indication price Range Buying / Selling Buying / Selling [Stocks]
High price 11,805 W 11,805 W~ ~ 10,235 W 65 % -744,470 W -63
High mid 10,235 W 10,235 W ~ 8,665 W 43 % -493,343 W -48
Mid 8,665 W 8,665 W ~ 7,094 W 21 % -242,216 W -28
Low mid 7,094 W 7,094 W ~ 5,524 W -1 % 8,911 W 1
low price 5,524 W 5,524 W ~ 0 W -23 % 260,038 W 47
Stock price rise
probability score
A Sector 49.8 51.5 63.8 45.3 34.1 52.3
44.7B Sector 36.3 12.5 13.8 45.3 29.6 25.2
Total average
2019.09.04 2019.10.07 2019.11.05 2019.12.03 2020.01.03 2020.02.04
43.0 32.0 38.8 16.9 31.9 38.8
47 % 18 %
2019.10.07 2019.11.05 2019.12.03 2020.01.03 2020.02.04
Total of
increase rate
Total score
A Sector 3 % 19 % -41 % -33 % 35 %
-16 % 42.0B Sector -190 % 9 % 70 % -53 % -17 %
Total average -34 % 17 % -130 %
50 52
64
45
34
52
36
13 14
45
30
25
43
32
39
17
32
39
0
10
20
30
40
50
60
70
2019.09.04 2019.10.07 2019.11.05 2019.12.03 2020.01.03 2020.02.04
Stock price rise probability score
A sector
B sector
Total average
3%
19%
-41% -33%
35%
-190%
9%
70%
-53%
-17%
-34%
17%
-130%
47%
18%
-250%
-200%
-150%
-100%
-50%
0%
50%
100%
2019.10.07 2019.11.05 2019.12.03 2020.01.03 2020.02.04
Increase rate of stock price rise
A sector
B sector
Total average
welcron

3. Compliance notice
① The information provided by The Algorithm Company Analysis
Consulting is obtained through reliable data and information and
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accuracy or completeness are not guaranteed. Furthermore, it
may change over time.Therefore, we are not legally responsible
for the results of the data provided by The Algorithm Company
Analysis Consulting because of information errors or omissions.
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information provided on it site are reference materials for
investment decisions and the final responsibility of investment is
up to users utilizing this information.
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transaction.
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⑤ Be sure to know about application period of this algorithm
analysis report in order to improve its accuracy.
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