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Monalisa
Buy, Hold or Sell?

Let's analyse Monalisa together

PenkeI guess you are interested in Monalisa. Buy, hold or sell? I don't know! However, I do recommend doing research before doing anything. I will help you with that.

I'm going to help you getting a better view of Monalisa. At the end you don't have to ask anyone for trading advice. You can make your own decision, with more confidence, the odds in your favor, backed by data.

You can find me behind Let's Analyse Together in the top-right of each section.

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Quick analysis of Monalisa (30 sec.)










What can you expect buying and holding a share of Monalisa? (30 sec.)

How much money do you get?

How much money do you get?
₩0.07
When do you have the money?
1 year
How often do you get paid?
28.6%

What is your share worth?

Current worth
₩2,223.27
Expected worth in 1 year
₩2,323.63
How sure are you?
85.7%

+ What do you gain per year?

Total Gains per Share
₩200.36
Return On Investment
6.8%

For what price can you sell your share?

Current Price per Share
₩2,960.00
Expected price per share
₩2,967 - ₩3,178
How sure are you?
50%

1. Valuation of Monalisa (5 min.)




Live pricePrice per Share (EOD)

₩2,960.00

Intrinsic Value Per Share

₩1,498.84 - ₩1,768.82

Total Value Per Share

₩3,722.11 - ₩3,992.09

2. Growth of Monalisa (5 min.)




Is Monalisa growing?

Current yearPrevious yearGrowGrow %
How rich?$56.8m$53.6m$2.3m4.2%

How much money is Monalisa making?

Current yearPrevious yearGrowGrow %
Making money$1.6m$408.6k$1.1m74.5%
Net Profit Margin7.1%1.9%--

How much money comes from the company's main activities?

3. Financial Health of Monalisa (5 min.)




4. Comparing to competitors in the Household & Personal Products industry (5 min.)




  Industry Rankings (Household & Personal Products)  


Richest
#118 / 187

Most Revenue
#134 / 187

Most Profit
#98 / 187

What can you expect buying and holding a share of Monalisa? (5 min.)

Welcome investor! Monalisa's management wants to use your money to grow the business. In return you get a share of Monalisa.

What can you expect buying and holding a share of Monalisa?

First you should know what it really means to hold a share of Monalisa. And how you can make/lose money.

Speculation

The Price per Share of Monalisa is ₩2,960. The market price reflects what other people think it is worth; not what it's really worth. Your job is to find out if the market price is fair, overpriced, or underpriced. I will help you with that.

If you buy blind, there is a 50% chance of making or losing money by selling the stock in the future. However, we can look at a few things to determine the odds in our favor:

  • The fundamentals: the financial health trends of Monalisa.
  • The technials: based on market psychology, we can make a calculated estimate of what the price will do in the future. We can do this through technical analysis. We can calculate the probabilities and the expected value (millionaire math). That's called speculation.
  • The book value: what is the market price compared to it's book value.

Investing

If you really want to invest in Monalisa, you will have to let go of the thought of selling in the future. If you have to sell the share for less than you bought it, it can still be a good investment. Focus on what it means to hold the stock forever:

  • You own a part of the company. The equity of this part can grow or shrink. The current Book Value per Share is ₩2,223.27. Based on the TTM, the Book Value Change Per Share is ₩25.09 per quarter. Based on the YOY, the Book Value Change Per Share is ₩16.30 per quarter.
  • You may receive quarterly/yearly dividend in the form of additional shares.
  • You may receive quarterly/yearly dividend in the form of cash. Based on the TTM the Dividend per Share is ₩25.00 per quarter.
Based on historical numbers we can estimate the returns while holding a share of Monalisa.

How much money are you going to get?

 MRQTTMYOY5Y10Y
 % of Price per Share% of Price per Share% of Price per Share% of Price per Share% of Price per Share
Usd Eps0.030.0%0.040.0%0.010.0%0.020.0%0.020.0%
Usd Book Value Change Per Share0.030.0%0.020.0%0.010.0%0.020.0%0.060.0%
Usd Dividend Per Share0.000.0%0.020.0%0.000.0%0.000.0%0.010.0%
Usd Total Gains Per Share0.030.0%0.040.0%0.010.0%0.020.0%0.070.0%
Usd Price Per Share1.84-1.91-2.19-2.78-3.04-
Price to Earnings Ratio15.96-16.46-57.87-49.35-55.37-
Price-to-Total Gains Ratio63.45-6.95-229.82-150.56-190.34-
Price to Book Ratio1.18-1.25-1.49-2.04-2.27-
Price-to-Total Gains Ratio63.45-6.95-229.82-150.56-190.34-

When do you get the money?

Usd Investment
$.00
Usd Price Per Share2.072
Number of shares482
Gains per QuarterTrailing 12 Months5 Year
Usd Dividend Per Share0.020.00
Usd Book Value Change Per Share0.020.02
Usd Total Gains Per Share0.040.02
Gains per Quarter (482 shares)16.909.06
Gains per Year (482 shares)67.6036.24
YearsReturn on Investment (TTM)Return on Investment (5Y)
 DividendBook Value gainTotal gainsDividendBook Value gainTotal gains
Broker costs---10---10
134345872926
26768126135962
3101102194208898
413513526227118134
516916933034147170
620220339840177206
723623746647206242
827027153454236278
930430560261265314
1033733967067295350

How sure are you?

Based on the past periods, how sure are you to get value out of your investment.

Linear %
 Trailing 12 Months3Y5 Year10 YearALLTIME
  % % % % %
Earnings Per Share4.00.00.0100.0%12.00.00.0100.0%20.00.00.0100.0%26.02.00.092.9%26.02.00.092.9%
Book Value Change Per Share2.02.00.050.0%9.03.00.075.0%16.04.00.080.0%20.08.00.071.4%20.08.00.071.4%
Dividend per Share1.00.03.025.0%1.00.011.08.3%1.00.019.05.0%8.00.020.028.6%8.00.020.028.6%
Total Gains per Share3.01.00.075.0%10.02.00.083.3%17.03.00.085.0%24.04.00.085.7%24.04.00.085.7%

Fundamentals of Monalisa

About Monalisa

Monalisa Co., Ltd engages in the production and sale of hygiene products in South Korea. It offers sanitary tissue, bathroom tissue, facial tissue, wet tissue, and kitchen towel products, as well as wet wipes, adult diapers, baby diapers, masks, napkins, jumbo rolls, and paper towels under the Bellagio, The Rich House, and Nox Premium brand names. The company was founded in 1977 and is headquartered in Seoul, South Korea.

Fundamental data was last updated by Penke on 2024-03-24 09:53:05.

Financial Health

Profitability Details
 Compared to previous yearCompared to industry
The company is making a profit.
Using its assets, the company is less efficient in making profit.
Using its investors money, the company is inefficient in making profit.
Operating Efficiency Details
 Compared to previous yearCompared to industry
The company is inefficient in keeping operating costs low.
Liquidity Details
 Compared to previous yearCompared to industry
The company is able to pay all its short-term debts.
The company is just not able to pay all its short-term debts with the most liquid assets.
Solvency Details
 Compared to previous yearCompared to industry
The company is very able to pay all its debts by selling its assets.
The company is very able to pay all its debts with equity.

Valuation

Valuation Details
 Compared to previous yearCompared to industry
Based on the equity, the company is underpriced.
Based on the earnings, the company is fair priced.
Based on how much money comes from the company's main activities, the company is expensive.

1.1. Profitability of Monalisa.

1.1. Profitability
1.1.1. Net Profit Margin

Measures how much net profit Monalisa earns for each ₩1 of revenue.

  • Above 10% is considered healthy but always compare Monalisa to the Household & Personal Products industry mean.
  • A Net Profit Margin of 4.5% means that ₩0.05 for each ₩1 in revenue is generated as profit.

Let's take a look of the Net Profit Margin trends of Monalisa:

  • The MRQ is 4.5%. The company is making a profit. +1
  • The TTM is 7.1%. The company is making a profit. +1
Trends
Current periodCompared to+/- 
MRQ4.5%TTM7.1%-2.6%
TTM7.1%YOY1.9%+5.2%
TTM7.1%5Y4.2%+3.0%
5Y4.2%10Y3.4%+0.7%
Compared to industry (Household & Personal Products)
PeriodCompanyIndustry (mean)+/- 
MRQ4.5%4.5%+0.0%
TTM7.1%5.3%+1.8%
YOY1.9%4.5%-2.6%
5Y4.2%5.2%-1.0%
10Y3.4%6.1%-2.7%
1.1.2. Return on Assets

Shows how efficient Monalisa is using its assets to generate profit.

  • Above 5% is considered healthy but always compare Monalisa to the Household & Personal Products industry mean.
  • 1.5% Return on Assets means that Monalisa generated ₩0.02 profit for each $1 in assets.

Let's take a look of the Return on Assets trends of Monalisa:

  • The MRQ is 1.5%. Using its assets, the company is less efficient in making profit.
  • The TTM is 2.3%. Using its assets, the company is less efficient in making profit.
Trends
Current periodCompared to+/- 
MRQ1.5%TTM2.3%-0.7%
TTM2.3%YOY0.6%+1.7%
TTM2.3%5Y1.4%+0.9%
5Y1.4%10Y1.1%+0.2%
Compared to industry (Household & Personal Products)
PeriodCompanyIndustry (mean)+/- 
MRQ1.5%1.4%+0.1%
TTM2.3%1.5%+0.8%
YOY0.6%1.4%-0.8%
5Y1.4%1.7%-0.3%
10Y1.1%1.9%-0.8%
1.1.3. Return on Equity

Shows how efficient Monalisa is using its investors money to generate profit.

  • Above 15%-20% is considered healthy but always compare Monalisa to the Household & Personal Products industry mean.
  • 1.8% Return on Equity means Monalisa generated ₩0.02 for each ₩1 the owners (shareholders) invested.

Let's take a look of the Return on Equity trends of Monalisa:

  • The MRQ is 1.8%. Using its investors money, the company is inefficient in making profit. -1
  • The TTM is 2.8%. Using its investors money, the company is inefficient in making profit. -1
Trends
Current periodCompared to+/- 
MRQ1.8%TTM2.8%-1.0%
TTM2.8%YOY0.8%+2.1%
TTM2.8%5Y1.7%+1.1%
5Y1.7%10Y1.4%+0.3%
Compared to industry (Household & Personal Products)
PeriodCompanyIndustry (mean)+/- 
MRQ1.8%3.0%-1.2%
TTM2.8%3.1%-0.3%
YOY0.8%2.7%-1.9%
5Y1.7%3.2%-1.5%
10Y1.4%3.6%-2.2%

1.2. Operating Efficiency of Monalisa.

1.2. Operating Efficiency
1.2.1. Operating Margin

Measures how efficient Monalisa is operating .

  • Measures how much profit Monalisa makes for each ₩1 of sales after paying variable costs (production costs, wages, etc) but before taxes.
  • Above 15% is considered healthy but always compare Monalisa to the Household & Personal Products industry mean.
  • An Operating Margin of 0.0% means the company generated ₩0.00  for each ₩1 in revenue (before taxes).

Let's take a look of the Operating Margin trends of Monalisa:

  • The MRQ is 0.0%. The data is not here.
Trends
Current periodCompared to+/- 
MRQ-TTM-0.0%
TTM-YOY-0.0%
TTM-5Y3.8%-3.8%
5Y3.8%10Y3.3%+0.5%
Compared to industry (Household & Personal Products)
PeriodCompanyIndustry (mean)+/- 
MRQ-7.9%-7.9%
TTM-5.3%-5.3%
YOY-7.1%-7.1%
5Y3.8%7.6%-3.8%
10Y3.3%8.1%-4.8%
1.2.2. Operating Ratio

Measures how efficient Monalisa is keeping operating costs low.

  • Below 1 is considered healthy (always compare to Household & Personal Products industry mean).
  • An Operation Ratio of 1.68 means that the operating costs are ₩1.68 for each ₩1 in net sales.

Let's take a look of the Operating Ratio trends of Monalisa:

  • The MRQ is 1.678. The company is inefficient in keeping operating costs low. -1
  • The TTM is 1.708. The company is inefficient in keeping operating costs low. -1
Trends
Current periodCompared to+/- 
MRQ1.678TTM1.708-0.030
TTM1.708YOY1.763-0.055
TTM1.7085Y1.725-0.017
5Y1.72510Y1.734-0.009
Compared to industry (Household & Personal Products)
PeriodCompanyIndustry (mean)+/- 
MRQ1.6781.296+0.382
TTM1.7081.201+0.507
YOY1.7631.132+0.631
5Y1.7251.150+0.575
10Y1.7341.076+0.658

1.3. Liquidity of Monalisa.

1.3. Liquidity
1.3.1. Current Ratio

Measures if Monalisa is able to pay off Short-term Debt.

  • Above 1.5 is considered healthy (always compare to Household & Personal Products industry mean).
  • A Current Ratio of 3.34 means the company has ₩3.34 in assets for each ₩1 in short-term debts.

Let's take a look of the Current Ratio trends of Monalisa:

  • The MRQ is 3.345. The company is very able to pay all its short-term debts. +2
  • The TTM is 2.810. The company is able to pay all its short-term debts. +1
Trends
Current periodCompared to+/- 
MRQ3.345TTM2.810+0.535
TTM2.810YOY1.958+0.852
TTM2.8105Y2.394+0.416
5Y2.39410Y2.640-0.246
Compared to industry (Household & Personal Products)
PeriodCompanyIndustry (mean)+/- 
MRQ3.3451.744+1.601
TTM2.8101.744+1.066
YOY1.9581.651+0.307
5Y2.3941.693+0.701
10Y2.6401.686+0.954
1.3.2. Quick Ratio

Measures if Monalisa is able to pay off Short-term Debt but only using the most liquid assets.

  • Above 1 is considered healthy but always compare Monalisa to the Household & Personal Products industry mean.
  • A Quick Ratio of 1.06 means the company can pay off ₩1.06 for each ₩1 in debt (using most liquid assets).

Let's take a look of the Quick Ratio trends of Monalisa:

  • The MRQ is 1.057. The company is just able to pay all its short-term debts with the most liquid assets.
  • The TTM is 0.802. The company is just not able to pay all its short-term debts with the most liquid assets. -1
Trends
Current periodCompared to+/- 
MRQ1.057TTM0.802+0.255
TTM0.802YOY0.825-0.023
TTM0.8025Y0.935-0.133
5Y0.93510Y1.088-0.154
Compared to industry (Household & Personal Products)
PeriodCompanyIndustry (mean)+/- 
MRQ1.0570.797+0.260
TTM0.8020.794+0.008
YOY0.8250.786+0.039
5Y0.9350.921+0.014
10Y1.0880.939+0.149

1.4. Solvency of Monalisa.

1.3. Liquidity
1.4.1. Debt to Asset Ratio

Measures how much % of Monalisa assets are financed with debt.

  • Below 1 (100%) is considered healthy but always compare Monalisa to Household & Personal Products industry mean.
  • A Debt to Asset Ratio of 0.16 means that Monalisa assets are financed with 16.2% credit (debt) and the remaining percentage (100% - 16.2%) is financed by its owners/shareholders. 

Let's take a look of the Debt to Asset Ratio trends of Monalisa:

  • The MRQ is 0.162. The company is very able to pay all its debts by selling its assets. +2
  • The TTM is 0.188. The company is very able to pay all its debts by selling its assets. +2
Trends
Current periodCompared to+/- 
MRQ0.162TTM0.188-0.026
TTM0.188YOY0.211-0.024
TTM0.1885Y0.202-0.014
5Y0.20210Y0.192+0.010
Compared to industry (Household & Personal Products)
PeriodCompanyIndustry (mean)+/- 
MRQ0.1620.439-0.277
TTM0.1880.446-0.258
YOY0.2110.463-0.252
5Y0.2020.439-0.237
10Y0.1920.441-0.249
1.4.2. Debt to Equity Ratio

Measures if Monalisa is able to pay off its debts by using shareholders equity.

  • Below 2 is considered healthy but always compare Monalisa to the Household & Personal Products industry mean.
  • A Debt to Equity ratio of 19.4% means that company has ₩0.19 debt for each ₩1 in shareholders equity.

Let's take a look of the Debt to Equity Ratio trends of Monalisa:

  • The MRQ is 0.194. The company is very able to pay all its debts with equity. +2
  • The TTM is 0.232. The company is very able to pay all its debts with equity. +2
Trends
Current periodCompared to+/- 
MRQ0.194TTM0.232-0.038
TTM0.232YOY0.268-0.036
TTM0.2325Y0.254-0.022
5Y0.25410Y0.238+0.015
Compared to industry (Household & Personal Products)
PeriodCompanyIndustry (mean)+/- 
MRQ0.1940.783-0.589
TTM0.2320.787-0.555
YOY0.2680.806-0.538
5Y0.2540.820-0.566
10Y0.2380.815-0.577

2. Market Valuation of Monalisa

2.1. Earnings Per Share
2.1. Price to Earnings Ratio

Measures how much money you pay for each share for every ₩1 in earnings Monalisa generates.

  • Above 15 is considered overpriced but always compare Monalisa to the Household & Personal Products industry mean.
  • A PE ratio of 15.96 means the investor is paying ₩15.96 for every ₩1 in earnings.

Let's take a look of the Price to Earnings Ratio trends of Monalisa:

  • The EOD is 17.998. Based on the earnings, the company is fair priced.
  • The MRQ is 15.961. Based on the earnings, the company is fair priced.
  • The TTM is 16.461. Based on the earnings, the company is fair priced.
Trends
Current periodCompared to+/- 
EOD17.998MRQ15.961+2.037
MRQ15.961TTM16.461-0.500
TTM16.461YOY57.873-41.412
TTM16.4615Y49.354-32.893
5Y49.35410Y55.375-6.020
Compared to industry (Household & Personal Products)
PeriodCompanyIndustry (mean)+/- 
EOD17.99818.942-0.944
MRQ15.96120.226-4.265
TTM16.46117.720-1.259
YOY57.87317.035+40.838
5Y49.35418.342+31.012
10Y55.37521.760+33.615
2.2. Price To Free Cash Flow Ratio

Let's take a look of the Price To Free Cash Flow Ratio trends of Monalisa:

  • The EOD is 40.510. Based on how much money comes from the company's main activities, the company is fair priced.
  • The MRQ is 35.925. Based on how much money comes from the company's main activities, the company is fair priced.
  • The TTM is -31.378. Based on how much money comes from the company's main activities, the company is expensive. -2
Trends
Current periodCompared to+/- 
EOD40.510MRQ35.925+4.585
MRQ35.925TTM-31.378+67.304
TTM-31.378YOY10.902-42.281
TTM-31.3785Y-223.738+192.360
5Y-223.73810Y-130.961-92.778
Compared to industry (Household & Personal Products)
PeriodCompanyIndustry (mean)+/- 
EOD40.5108.125+32.385
MRQ35.9258.927+26.998
TTM-31.3788.857-40.235
YOY10.9025.662+5.240
5Y-223.7387.145-230.883
10Y-130.9619.472-140.433
2. Book Value per Share
2.3. Price to Book Ratio

Measures if the stock price of Monalisa is to cheap or to expensive compared to its book value.

  • At or below 1 is considered healthy (always compare to Household & Personal Products industry mean).
  • A PB ratio of 1.18 means the investor is paying ₩1.18 for each ₩1 in book value.

Let's take a look of the Price to Book Ratio trends of Monalisa:

  • The EOD is 1.331. Based on the equity, the company is underpriced. +1
  • The MRQ is 1.181. Based on the equity, the company is underpriced. +1
  • The TTM is 1.245. Based on the equity, the company is underpriced. +1
Trends
Current periodCompared to+/- 
EOD1.331MRQ1.181+0.151
MRQ1.181TTM1.245-0.064
TTM1.245YOY1.494-0.249
TTM1.2455Y2.039-0.794
5Y2.03910Y2.266-0.227
Compared to industry (Household & Personal Products)
PeriodCompanyIndustry (mean)+/- 
EOD1.3311.550-0.219
MRQ1.1811.779-0.598
TTM1.2451.827-0.582
YOY1.4941.937-0.443
5Y2.0392.144-0.105
10Y2.2662.673-0.407
2. Total Gains per Share

3. Summary

3.1. Key Performance Indicators

The key performance indicators of Monalisa compared to the Most Recent Quarter (MRQ).

 End of day+/-Most Recent QuarterTrailing 12 Months+/-Year-Over-Year+/-5 Year+/-10 Year+/-
Book Value Change Per Share--41.37225.091+65%16.297+154%21.853+89%79.403-48%
Book Value Per Share--2223.2712189.471+2%2097.068+6%1982.296+12%1946.344+14%
Current Ratio--3.3452.810+19%1.958+71%2.394+40%2.640+27%
Debt To Asset Ratio--0.1620.188-14%0.211-23%0.202-19%0.192-15%
Debt To Equity Ratio--0.1940.232-16%0.268-28%0.254-24%0.238-19%
Dividend Per Share---25.000-100%-0%5.000-100%18.750-100%
Eps--41.11562.526-34%15.968+157%34.321+20%28.461+44%
Free Cash Flow Per Share--18.26731.042-41%22.935-20%20.917-13%19.814-8%
Free Cash Flow To Equity Per Share--18.26731.042-41%22.935-20%20.917-13%7.314+150%
Gross Profit Margin--1.0001.0000%1.0000%1.0000%1.0000%
Intrinsic Value_10Y_max--1768.820--------
Intrinsic Value_10Y_min--1498.840--------
Intrinsic Value_1Y_max--98.049--------
Intrinsic Value_1Y_min--96.261--------
Intrinsic Value_3Y_max--354.956--------
Intrinsic Value_3Y_min--337.651--------
Intrinsic Value_5Y_max--684.635--------
Intrinsic Value_5Y_min--630.265--------
Market Cap108219968000.000+11%95972100000.00099582479000.000-4%114481005000.000-16%145000132800.000-34%158589068285.714-39%
Net Profit Margin--0.0450.071-37%0.019+136%0.042+8%0.034+31%
Operating Margin----0%-0%0.038-100%0.033-100%
Operating Ratio--1.6781.708-2%1.763-5%1.725-3%1.734-3%
Pb Ratio1.331+11%1.1811.245-5%1.494-21%2.039-42%2.266-48%
Pe Ratio17.998+11%15.96116.461-3%57.873-72%49.354-68%55.375-71%
Price Per Share2960.000+11%2625.0002723.750-4%3131.250-16%3966.000-34%4337.679-39%
Price To Free Cash Flow Ratio40.510+11%35.925-31.378+187%10.902+230%-223.738+723%-130.961+465%
Price To Total Gains Ratio71.545+11%63.4486.946+813%229.819-72%150.556-58%190.339-67%
Quick Ratio--1.0570.802+32%0.825+28%0.935+13%1.088-3%
Return On Assets--0.0150.023-32%0.006+158%0.014+14%0.011+36%
Return On Equity--0.0180.028-34%0.008+143%0.017+8%0.014+30%
Total Gains Per Share--41.37250.091-17%16.297+154%26.853+54%98.153-58%
Usd Book Value--56899206.77056034174.361+2%53669338.975+6%50732023.880+12%49811931.800+14%
Usd Book Value Change Per Share--0.0290.018+65%0.011+154%0.015+89%0.056-48%
Usd Book Value Per Share--1.5561.533+2%1.468+6%1.388+12%1.362+14%
Usd Dividend Per Share---0.017-100%-0%0.003-100%0.013-100%
Usd Eps--0.0290.044-34%0.011+157%0.024+20%0.020+44%
Usd Free Cash Flow--467498.892794455.209-41%586962.241-20%535314.886-13%507097.248-8%
Usd Free Cash Flow Per Share--0.0130.022-41%0.016-20%0.015-13%0.014-8%
Usd Free Cash Flow To Equity Per Share--0.0130.022-41%0.016-20%0.015-13%0.005+150%
Usd Market Cap75753977.600+11%67180470.00069707735.300-4%80136703.500-16%101500092.960-34%111012347.800-39%
Usd Price Per Share2.072+11%1.8381.907-4%2.192-16%2.776-34%3.036-39%
Usd Profit--1052240.3011600213.164-34%408674.235+157%878360.987+20%728387.403+44%
Usd Revenue--23254825.42622708008.454+2%21152266.471+10%20724012.531+12%20544100.028+13%
Usd Total Gains Per Share--0.0290.035-17%0.011+154%0.019+54%0.069-58%
 EOD+4 -4MRQTTM+15 -19YOY+22 -105Y+22 -1310Y+19 -16

3.2. Fundamental Score

Let's check the fundamental score of Monalisa based on Penke's default stock scanner.

Penke's Stock Scanner

  
  
IndicatorConditionValue
Price to Earnings Ratio (EOD)Between0-1517.998
Price to Book Ratio (EOD)Between0-11.331
Net Profit Margin (MRQ)Greater than00.045
Operating Margin (MRQ)Greater than00.000
Quick Ratio (MRQ)Greater than11.057
Current Ratio (MRQ)Greater than13.345
Debt to Asset Ratio (MRQ)Less than10.162
Debt to Equity Ratio (MRQ)Less than10.194
Return on Equity (MRQ)Greater than0.150.018
Return on Assets (MRQ)Greater than0.050.015
Total5/10 (50.0%)

3.3. Technical Score

Let's check the technical score of Monalisa based on Penke's default Symbol scanner.

Penke's Symbol Scanner

  
  
IndicatorConditionValue
RsiGreater than5054.741
Ma 20Greater thanMa 502,885.418
Ma 50Greater thanMa 1002,877.865
Ma 100Greater thanMa 2002,761.103
OpenGreater thanClose3,030.000
Total5/5 (100.0%)



Latest Balance Sheet

Balance Sheet of 2023-12-31. Currency in KRW. All numbers in thousands.

Summary
Total Assets97,045,385
Total Liabilities15,760,804
Total Stockholder Equity81,284,582
 As reported
Total Liabilities 15,760,804
Total Stockholder Equity+ 81,284,582
Total Assets = 97,045,385

Assets

Total Assets97,045,385
Total Current Assets47,559,248
Long-term Assets49,486,137
Total Current Assets
Cash And Cash Equivalents 19,711,773
Short-term Investments 2,000,000
Net Receivables 13,024,938
Inventory 12,137,114
Other Current Assets 0
Total Current Assets  (as reported)47,559,248
Total Current Assets  (calculated)46,873,826
+/- 685,423
Long-term Assets
Property Plant Equipment 42,184,839
Intangible Assets 294,415
Long-term Assets  (as reported)49,486,137
Long-term Assets  (calculated)42,479,254
+/- 7,006,883

Liabilities & Shareholders' Equity

Total Current Liabilities14,218,402
Long-term Liabilities1,542,402
Total Stockholder Equity81,284,582
Total Current Liabilities
Accounts payable 2,010,061
Other Current Liabilities 1
Total Current Liabilities  (as reported)14,218,402
Total Current Liabilities  (calculated)2,010,062
+/- 12,208,340
Long-term Liabilities
Capital Lease Obligations Min Short Term Debt995,847
Long-term Liabilities  (as reported)1,542,402
Long-term Liabilities  (calculated)995,847
+/- 546,555
Total Stockholder Equity
Retained Earnings 55,440,755
Total Stockholder Equity (as reported)81,284,582
Total Stockholder Equity (calculated)55,440,755
+/- 25,843,826
Other
Capital Stock18,885,628
Common Stock Shares Outstanding 36,561
Net Invested Capital 81,284,582
Net Working Capital 33,340,846
Property Plant and Equipment Gross 105,202,743



Balance Sheet

Currency in KRW. All numbers in thousands.

 Trend2023-12-312023-09-302023-06-302023-03-312022-12-312022-09-302022-06-302022-03-312021-12-312021-09-302021-06-302021-03-312020-12-312020-09-302020-06-302020-03-312019-12-312019-09-302019-06-302019-03-312018-09-302018-06-302018-03-312017-12-312017-09-302017-06-302017-03-312016-12-31
> Total Assets 
80,562,144
83,698,459
82,102,896
84,577,215
82,624,169
84,082,831
76,502,401
77,388,861
79,476,585
76,863,337
75,640,649
77,097,695
86,368,801
88,779,953
91,025,589
91,311,099
89,568,002
91,745,622
92,339,369
93,955,501
96,035,876
96,748,152
98,356,881
97,794,376
96,539,559
102,962,820
97,835,042
97,045,385
97,045,38597,835,042102,962,82096,539,55997,794,37698,356,88196,748,15296,035,87693,955,50192,339,36991,745,62289,568,00291,311,09991,025,58988,779,95386,368,80177,097,69575,640,64976,863,33779,476,58577,388,86176,502,40184,082,83182,624,16984,577,21582,102,89683,698,45980,562,144
   > Total Current Assets 
41,904,496
45,269,765
43,984,697
46,018,832
44,121,983
46,448,359
38,885,548
39,985,297
42,756,603
40,815,088
39,776,291
37,077,157
35,298,290
33,934,190
35,456,007
38,115,295
35,914,998
30,444,247
30,220,986
30,834,415
33,531,917
34,913,364
36,617,805
37,112,904
36,627,213
52,347,743
47,482,674
47,559,248
47,559,24847,482,67452,347,74336,627,21337,112,90436,617,80534,913,36433,531,91730,834,41530,220,98630,444,24735,914,99838,115,29535,456,00733,934,19035,298,29037,077,15739,776,29140,815,08842,756,60339,985,29738,885,54846,448,35944,121,98346,018,83243,984,69745,269,76541,904,496
       Cash And Cash Equivalents 
14,867,759
11,256,639
10,742,675
9,891,474
9,437,609
11,002,927
5,295,070
5,363,858
6,205,344
4,790,385
5,939,257
17,091,218
13,289,870
13,084,842
8,972,366
11,373,948
11,056,736
6,497,236
8,173,173
9,741,944
11,019,955
11,545,984
6,008,446
5,082,690
12,185,508
27,046,357
21,158,277
19,711,773
19,711,77321,158,27727,046,35712,185,5085,082,6906,008,44611,545,98411,019,9559,741,9448,173,1736,497,23611,056,73611,373,9488,972,36613,084,84213,289,87017,091,2185,939,2574,790,3856,205,3445,363,8585,295,07011,002,9279,437,6099,891,47410,742,67511,256,63914,867,759
       Short-term Investments 
3,000,000
3,000,000
3,000,000
3,000,000
3,000,000
3,000,000
3,000,000
3,000,000
12,500,000
12,500,000
11,504,112
0
0
0
0
0
0
0
0
0
0
0
7,498,860
7,490,466
0
0
0
2,000,000
2,000,0000007,490,4667,498,8600000000000011,504,11212,500,00012,500,0003,000,0003,000,0003,000,0003,000,0003,000,0003,000,0003,000,0003,000,000
       Net Receivables 
16,063,172
18,469,587
16,026,985
17,673,448
16,625,548
16,931,282
14,535,473
16,321,701
15,297,630
12,837,454
12,195,134
11,043,150
11,891,818
10,677,407
12,265,998
12,497,507
10,422,119
12,017,919
11,003,740
10,235,385
11,940,197
11,007,818
10,502,023
11,685,482
12,067,273
11,960,893
13,007,503
13,024,938
13,024,93813,007,50311,960,89312,067,27311,685,48210,502,02311,007,81811,940,19710,235,38511,003,74012,017,91910,422,11912,497,50712,265,99810,677,40711,891,81811,043,15012,195,13412,837,45415,297,63016,321,70114,535,47316,931,28216,625,54817,673,44816,026,98518,469,58716,063,172
       Inventory 
7,862,511
7,261,212
9,024,725
10,323,906
9,971,106
10,449,309
10,878,130
10,116,266
8,132,732
9,988,430
9,508,416
8,359,266
6,431,655
9,165,985
13,386,206
13,448,872
13,459,300
10,738,633
9,877,001
10,392,426
9,840,186
11,593,375
11,780,456
12,193,067
11,616,487
12,601,493
12,583,343
12,137,114
12,137,11412,583,34312,601,49311,616,48712,193,06711,780,45611,593,3759,840,18610,392,4269,877,00110,738,63313,459,30013,448,87213,386,2069,165,9856,431,6558,359,2669,508,4169,988,4308,132,73210,116,26610,878,13010,449,3099,971,10610,323,9069,024,7257,261,2127,862,511
       Other Current Assets 
47,512
232,331
28,040
14,706
11,352
5,040,857
26,175
164,967
0
0
-1
0
0
0
0
0
0
1
0
0
156,162
0
0
0
0
0
0
0
0000000156,162001000000-100164,96726,1755,040,85711,35214,70628,040232,33147,512
   > Long-term Assets 
0
0
0
0
0
0
0
0
36,719,982
36,048,249
35,864,359
40,020,538
51,070,511
54,845,763
55,569,582
53,195,804
53,653,005
61,301,375
62,118,382
63,121,086
62,503,959
61,834,788
61,739,075
60,681,472
59,912,346
50,615,077
50,352,368
49,486,137
49,486,13750,352,36850,615,07759,912,34660,681,47261,739,07561,834,78862,503,95963,121,08662,118,38261,301,37553,653,00553,195,80455,569,58254,845,76351,070,51140,020,53835,864,35936,048,24936,719,98200000000
       Property Plant Equipment 
37,430,658
36,753,116
36,404,415
36,819,257
36,901,221
36,522,904
36,285,373
35,968,872
0
0
0
0
0
0
0
0
0
0
0
0
0
0
45,302,085
44,420,312
43,595,768
43,177,472
42,936,420
42,184,839
42,184,83942,936,42043,177,47243,595,76844,420,31245,302,0850000000000000035,968,87236,285,37336,522,90436,901,22136,819,25736,404,41536,753,11637,430,658
       Long Term Investments 
1,515
1,515
1,515
1,515
1,515
1,515
1,515
1,515
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
000000000000000000001,5151,5151,5151,5151,5151,5151,5151,515
       Intangible Assets 
196,850
198,966
194,818
196,311
190,150
184,437
180,511
174,494
190,183
313,605
405,823
441,895
484,069
495,479
502,766
491,142
474,985
463,346
448,625
456,165
430,599
431,089
446,864
412,591
385,051
355,431
325,102
294,415
294,415325,102355,431385,051412,591446,864431,089430,599456,165448,625463,346474,985491,142502,766495,479484,069441,895405,823313,605190,183174,494180,511184,437190,150196,311194,818198,966196,850
       Long-term Assets Other 
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
-1
0
0
0
0
0000-100000000000000100000000
> Total Liabilities 
11,938,530
16,322,501
12,929,608
14,754,255
12,618,709
17,543,482
10,357,172
12,083,844
16,483,572
13,176,832
11,534,178
11,976,687
20,623,271
20,577,388
21,199,339
20,100,122
20,727,600
18,022,362
18,418,019
18,723,654
20,159,417
20,283,677
21,631,094
20,179,159
19,697,311
20,666,343
18,063,066
15,760,804
15,760,80418,063,06620,666,34319,697,31120,179,15921,631,09420,283,67720,159,41718,723,65418,418,01918,022,36220,727,60020,100,12221,199,33920,577,38820,623,27111,976,68711,534,17813,176,83216,483,57212,083,84410,357,17217,543,48212,618,70914,754,25512,929,60816,322,50111,938,530
   > Total Current Liabilities 
11,925,983
16,309,954
12,917,061
14,741,708
12,585,966
17,534,425
10,349,625
12,076,297
16,367,569
13,014,541
11,394,472
11,749,273
20,414,621
19,000,252
19,645,126
13,538,892
14,280,812
15,575,921
15,837,708
16,175,332
17,654,991
17,830,808
19,206,240
17,942,329
17,518,510
18,491,416
15,964,597
14,218,402
14,218,40215,964,59718,491,41617,518,51017,942,32919,206,24017,830,80817,654,99116,175,33215,837,70815,575,92114,280,81213,538,89219,645,12619,000,25220,414,62111,749,27311,394,47213,014,54116,367,56912,076,29710,349,62517,534,42512,585,96614,741,70812,917,06116,309,95411,925,983
       Short-term Debt 
500,000
500,000
500,000
500,000
500,000
500,000
500,000
0
500,000
500,000
500,000
500,000
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0000000000000000500,000500,000500,000500,0000500,000500,000500,000500,000500,000500,000500,000
       Short Long Term Debt 
500,000
500,000
500,000
500,000
500,000
500,000
500,000
0
500,000
500,000
500,000
500,000
5,500,000
5,500,000
5,000,000
0
0
5,000,000
5,000,000
5,000,000
5,000,000
5,000,000
5,000,000
5,000,000
2,000,000
2,000,000
0
0
002,000,0002,000,0005,000,0005,000,0005,000,0005,000,0005,000,0005,000,0005,000,000005,000,0005,500,0005,500,000500,000500,000500,000500,0000500,000500,000500,000500,000500,000500,000500,000
       Accounts payable 
0
0
5,591,340
6,483,772
5,870,217
7,156,111
4,175,668
5,286,628
7,557,162
6,146,181
4,252,767
4,961,719
4,877,774
5,002,859
5,777,456
4,435,651
3,914,486
3,333,541
3,614,631
4,006,501
5,100,832
4,989,389
5,450,690
5,044,487
5,778,719
5,462,238
4,499,657
2,010,061
2,010,0614,499,6575,462,2385,778,7195,044,4875,450,6904,989,3895,100,8324,006,5013,614,6313,333,5413,914,4864,435,6515,777,4565,002,8594,877,7744,961,7194,252,7676,146,1817,557,1625,286,6284,175,6687,156,1115,870,2176,483,7725,591,34000
       Other Current Liabilities 
11,425,983
15,809,954
4,974,174
5,701,703
1,337,176
4,903,989
821,461
1,211,734
1
0
0
0
-1
-1
-1
1
2
-1
0
-1
-1
1
0
-1
0
0
1
1
1100-101-1-10-121-1-1-100011,211,734821,4614,903,9891,337,1765,701,7034,974,17415,809,95411,425,983
   > Long-term Liabilities 
0
0
0
0
0
0
0
0
116,002
162,291
139,705
227,415
208,650
1,577,136
1,554,213
6,561,229
6,446,788
2,446,441
2,580,311
2,548,323
2,504,426
2,452,869
2,424,854
2,236,830
2,178,801
2,174,927
2,098,470
1,542,402
1,542,4022,098,4702,174,9272,178,8012,236,8302,424,8542,452,8692,504,4262,548,3232,580,3112,446,4416,446,7886,561,2291,554,2131,577,136208,650227,415139,705162,291116,00200000000
       Capital Lease Obligations 
0
0
0
0
0
0
0
0
376,558
419,499
355,172
423,239
371,940
1,200,016
1,228,111
1,374,432
1,231,138
1,163,508
1,334,366
1,332,176
1,270,732
1,239,159
1,240,066
1,212,800
1,165,528
1,127,958
1,048,578
995,847
995,8471,048,5781,127,9581,165,5281,212,8001,240,0661,239,1591,270,7321,332,1761,334,3661,163,5081,231,1381,374,4321,228,1111,200,016371,940423,239355,172419,499376,55800000000
       Long-term Liabilities Other 
0
0
0
0
0
0
0
0
0
0
0
-1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
7,547
0
07,54700000000000000-100000000000
> Total Stockholder Equity
68,623,614
67,375,958
69,173,288
69,822,959
70,005,460
66,539,349
66,145,229
65,305,017
62,993,013
63,686,505
64,106,471
65,121,006
65,745,530
68,202,564
69,826,249
71,210,977
68,840,402
73,723,260
73,921,349
75,231,846
75,876,459
76,464,474
76,725,787
77,615,218
76,842,247
82,296,478
79,771,976
81,284,582
81,284,58279,771,97682,296,47876,842,24777,615,21876,725,78776,464,47475,876,45975,231,84673,921,34973,723,26068,840,40271,210,97769,826,24968,202,56465,745,53065,121,00664,106,47163,686,50562,993,01365,305,01766,145,22966,539,34970,005,46069,822,95969,173,28867,375,95868,623,614
   Common Stock
18,885,628
18,885,628
18,885,628
18,885,628
18,885,628
18,885,628
18,885,628
18,885,628
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0000000000000000000018,885,62818,885,62818,885,62818,885,62818,885,62818,885,62818,885,62818,885,628
   Retained Earnings 
46,300,600
45,052,944
46,850,274
47,499,945
47,682,446
44,216,335
43,822,215
42,982,003
39,278,903
39,972,395
40,392,361
41,406,897
41,848,616
44,305,651
45,929,336
47,314,063
46,517,388
47,674,747
48,103,192
49,413,690
50,058,301
50,646,318
50,907,629
51,748,971
50,976,001
56,462,056
53,937,555
55,440,755
55,440,75553,937,55556,462,05650,976,00151,748,97150,907,62950,646,31850,058,30149,413,69048,103,19247,674,74746,517,38847,314,06345,929,33644,305,65141,848,61641,406,89740,392,36139,972,39539,278,90342,982,00343,822,21544,216,33547,682,44647,499,94546,850,27445,052,94446,300,600
   Capital Surplus 0000000000000000000000000000
   Treasury Stock0000000000000000000000000000
   Other Stockholders Equity 
1
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0000000000000000000000010001



Balance Sheet

Currency in KRW. All numbers in thousands.




Cash Flow

Currency in KRW. All numbers in thousands.




Income Statement

Currency in KRW. All numbers in thousands.


Latest Income Statement (annual, 2023-12-31)

Gross Profit (+$)
totalRevenue129,760,048
Cost of Revenue-98,337,167
Gross Profit31,422,88131,422,881
 
Operating Income (+$)
Gross Profit31,422,881
Operating Expense-123,274,223
Operating Income6,485,826-91,851,341
 
Operating Expense (+$)
Research Development0
Selling General Administrative19,079,273
Selling And Marketing Expenses0
Operating Expense123,274,22319,079,273
 
Net Interest Income (+$)
Interest Income797,493
Interest Expense-120,559
Other Finance Cost-0
Net Interest Income676,934
 
Pretax Income (+$)
Operating Income6,485,826
Net Interest Income676,934
Other Non-Operating Income Expenses0
Income Before Tax (EBT)11,637,1666,485,826
EBIT - interestExpense = -120,559
9,144,075
9,264,634
Interest Expense120,559
Earnings Before Interest and Taxes (EBIT)011,757,725
Earnings Before Interest and Taxes (EBITDA)0
 
After tax Income (+$)
Income Before Tax11,637,166
Tax Provision-2,493,091
Net Income From Continuing Ops9,144,0759,144,075
Net Income9,144,075
Net Income Applicable To Common Shares0
 
Non-recurring Events
Discontinued Operations0
Extraordinary Items0
Effect of Accounting Charges0
Other Items0
Non Recurring0
Other Operating Expenses0
Total Other Income/Expenses Net0-676,934
 

Technical Analysis of Monalisa
The psychology behind the price

Technical indicators reflecting market sentiment and the collective psychology of you and other traders. Your emotions and other traders' emotions, such as fear and greed, play a significant role in driving price movements.

General trend

First of all, I'm going to put something in the back of your mind. One of the most stable factors that gives you more confidence as a trader: the general trend of Monalisa. The general trend of Monalisa is BULLISH with 100.0% confidence. It is very important for your mental being to use each indicator with this in mind. But beware, also the general trend flips once in a while! You can use moving averages to determine Monalisa's overall trend. For convenience I use the most commonly used moving averages: 20, 50, 100 & 200. Of course you can use other moving averages or other indicators to determine the trend.

Indicator phases

Some of the indicators I use have 3 zones: overbought, oversold and neutral. Transitions between these zones (market phases) provide valuable trading signals and insights. Expecially with the general trend mind, I use the highlighted phases:

Indicator zone transitionsBullish trend (100.0%) Bearish trend (-100.0%)
Overbought to neutralBullish pullback=Bearish reversal
Upper to lower neutralBullish correction=Bearish continuation
Nuetral to oversoldOversold=Oversold
Oversold to neutralBullish reversal=Bearish correction
Lower to upper neutralBullish continuation=Bearish pullback
Nuetral to overboughtOverbought=Overbought

1. Price Targets

1.1 Support & Resistance

Support and resistance are levels on a price chart that act as barriers or zones where the price of an asset tends to stop, reverse, or experience a significant amount of buying or selling pressure.

Support is a price level at which demand for an asset is strong enough to prevent the price from falling further.
Resistance is a price level at which selling pressure becomes significant enough to prevent the price of an asset from rising further.


Score

Let's take a look at the Support & Resistance of Monalisa.

The long score for the Support & Resistance is 1/1.
The longshort score for the Support & Resistance is 1/(-1 +1).

  • Around support: The price is currently trading around a support level. This can be considered as a potential entry level. +1

The bullish price targets are: 3,095 < 3,165 < 3,178.

The bearish price targets are: 3,006 > 3,001 > 2,967.

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Monalisa Daily Support & Resistance Chart

2. Trend Indicators

2.1 Moving Averages

Shows the moving average of the selected period.

  • Moving averages are lagging trend indicators.
  • There are many types of moving averages.
  • Moving averages are also used within other indicators.

Score

Let's take a look at the Moving Averages of Monalisa. The current mas is .

The long score for the Moving Averages is 14/14.
The longshort score for the Moving Averages is 14/(-14 +14).

  • MA 20 trending up: The MA 20 is trending up. +1
  • Close > MA 20: The price is above the MA 20. +1
  • MA 20 > MA 50: The MA 20 is higher than the MA 50. +1
  • MA 20 > MA 100: The MA 20 is higher than the MA 100. +1
  • MA 20 > MA 200: The MA 20 is higher than the MA 200. +1
  • MA 50 trending up: The MA 50 is trending up. +1
  • Close > MA 50: The price is above the MA 50. +1
  • MA 50 > MA 100: The MA 50 is higher than the MA 100. +1
  • MA 50 > MA 200: The MA 50 is higher than the MA 200. +1
  • MA 100 trending up: The MA 100 is trending up. +1
  • Close > MA 100: The price is above the MA 100. +1
  • MA 100 > MA 200: The MA 100 is higher than the MA 200. +1
  • MA 200 trending up: The MA 200 is trending up. +1
  • Close > MA 200: The price is above the MA 200. +1

Directionalities and relatives.

Moving AverageAmount of candlesTrendPrice +/-vs. MA 50vs. MA 100vs. MA 200
MA 2020
MA 5050-
MA 100100--
MA 200200---

Explanation: https://www.youtube.com/watch?v=xwW8h0lrQ-I

Monalisa Daily Moving Averages Chart
2.2 Moving Average Convergence/Divergence (MACD)

Shows the momentum of the selected period based on two moving averages.

  • MACD is a lagging momentum indicator.
  • Uses two moving averages.
  • Can show buy or sell signals based on momentum.
  • Can show overbought. and oversold. levels.

Score

Let's take a look at the Moving Average Convergence/Divergence (MACD) of Monalisa. The current macd is 51.30.

The long score for the Moving Average Convergence/Divergence (MACD) is 3/4.
The longshort score for the Moving Average Convergence/Divergence (MACD) is 2/(-4 +4).

  • MACD line > signal line: The MACD line is above the signal line, which indicates a bullish signal in the market. This means that the positive momentum is currently stronger than the average momentum, suggesting that buyers are more active than sellers, and there's a higher probability of the Monalisa price going up in the near term. +2
  • MACD > 0: The MACD is above the zero line (centerline), it indicates a bullish signal for Monalisa. This means that the short-term moving average is higher than the long-term moving average, signaling positive momentum and suggesting a higher likelihood of the Monalisa price continuing to rise in the near future. It indicates that buyers are gaining control, and there is optimism in the market, leading to potential price increases. +1
  • Trending down: The MACD line is trending down. This indicates that the short-term moving average is falling faster than the long-term moving average, suggesting negative momentum in the market. This signals that sellers are becoming more active and insecure, leading to potential price decreases as traders anticipate further losses and are willing to sell at lower prices. -1
Monalisa Daily Moving Average Convergence/Divergence (MACD) ChartMonalisa Daily Moving Average Convergence/Divergence (MACD) Chart
2.3 Directional Movement Index (DMI)

The DMI is a collection of 3 indicators: +DI (Plus Direction Indicator), -DI (Minus Direction Indicator) and ADX (Average Directional Index). The ADX helps you determine the strength of a trend.


Score

Let's take a look at the Directional Movement Index (DMI) of Monalisa. The current adx is 32.94.

The long score for the Directional Movement Index (DMI) is 4/7.
The longshort score for the Directional Movement Index (DMI) is 4/(-7 +7).

  • PLUS_ID > MINUS_DI: The +DI line is above the -DI line. This indicates a bullish signal in the market, as the positive directional movement is currently stronger than the negative directional movement, showing that buyers have the upper hand. Market psychology suggests that traders are optimistic, expecting further price increases, and are more willing to buy Monalisa shares, leading to potential upward momentum in its price. +1
  • PLUS_ID > MINUS_DI && ADX > 25 && ADX trending up: The ADX is above 25 and indicates a strong bullish trend. The ADX is trending up, so the bullish trend is strengthening.
Monalisa Daily Directional Movement Index (DMI) Chart
2.4 Parabolic SAR

Shows the current trend and potential entry and exit signals.

  • Parabolic SAR (stop and reverse) is a lagging trend indicator.
  • Shows the current trend.
  • Shows potential entry signals.
  • Shows  potential exit signals.
  • Can be used to place trailing stoplosses..

Score

Let's take a look at the Parabolic SAR of Monalisa. The current sar is 2,798.

The long score for the Parabolic SAR is 1/1.
The longshort score for the Parabolic SAR is 1/(-1 +1).

  • Close > SAR: The price is above the SAR. It's generally considered a bullish signal. +1
Monalisa Daily Parabolic SAR Chart

3. Momentum Indicators

3.1 Relative Strength Index (RSI)

Measures the speed and change of price movements.

  • Leading momentum indicator, meaning the signals are instant.
  • Ranges between 0 and 100.
  • Above 70 is considered overbought.
  • Below 30 is considered oversold.
  • Above or below 50 can also be used to determine price trend or support and resistance.
  • RSI divergence looks at a deviation between RSI and price movement. Penketrading automatically calculates RSI divergences.
  • Can be used in many different ways

Score

Let's take a look at the Relative Strength Index (RSI) of Monalisa. The current rsi is 54.74. The current phase is Continuation in bull market.

The long score for the Relative Strength Index (RSI) is 3/13.
The longshort score for the Relative Strength Index (RSI) is 2/(-13 +13).

  • Continuation in bull market: Uptrend continues after a consolidation or pullback. Hold or add to existing positions.
  • Trending down: The RSI is trending down. -1
Monalisa Daily Relative Strength Index (RSI) ChartMonalisa Daily Relative Strength Index (RSI) Chart
3.2 Stochastic Oscillator

Compares a certain price to multiple prices ranging over time.

  • Leading momentum indicator, meaning the signals are instant.
  • Used to determine overbought and oversold areas much like the RSI.
  • Ranges between 0 and 100.
  • Above 80 is considered overbought.
  • Below 20 is considered oversold.
  • Consists of two lines named K and D.
  • K compares the highest high and lowest low on the selected price range.
  • The D line is a moving average of the K line.
  • Can be used to spot divergences

Score

Let's take a look at the Stochastic Oscillator of Monalisa. The current phase is Continuation in bull market.

The long score for the Stochastic Oscillator is 1/6.
The longshort score for the Stochastic Oscillator is -2/(-6 +6).

  • STOCH > 50: The STOCH %K is above 50. There are more buyers than sellers. +1
  • STOCH %K line < STOCH %D line: The STOCH %K line is below the STOCH %D line, which indicates a bearish signal in the market. This means that the negative momentum is currently stronger than the average momentum, suggesting that sellers are more active than buyers, and there's a higher probability of the Monalisa price going down in the near term. -2
  • Trending down: The STOCH %K is trending down. -1
Monalisa Daily Stochastic Oscillator ChartMonalisa Daily Stochastic Oscillator Chart
3.3 Commodity Channel Index (CCI)

Measures the difference between the current price and the historical average price.

  • Lagging or leading Momentum indicator
  • When the CCI is above zero, the price is above the historical average
  • When the CCI is below zero, the price is below the historical average
  • Used for spotting trends
    • If the CCI moves from negative or near zero to positive 100 that might indicate an uptrend
    • If the CCI moves from positive or near zero to negative -100 that might indicate a downtrend

Score

Let's take a look at the Commodity Channel Index (CCI) of Monalisa. The current cci is 75.72.

Monalisa Daily Commodity Channel Index (CCI) ChartMonalisa Daily Commodity Channel Index (CCI) Chart
3.4 Chande Momentum Oscillator (CMO)

Measures the difference between the sum of recent gains and the sum of recent losses. Then divides the result by the sum of all price movements in that period.

  • Lagging momentum indicator
  • Ranges between +100 and -100
  • Considered overbought above +50
  • Considered oversold below -50
  • It's possible to add a moving average that acts as a signal line

Score

Let's take a look at the Chande Momentum Oscillator (CMO) of Monalisa. The current cmo is 5.1600431.

The long score for the Chande Momentum Oscillator (CMO) is 1/1.
The longshort score for the Chande Momentum Oscillator (CMO) is 1/(-1 +1).

  • CMO > 0: The CMO is above 0, the momentum of the price is positive, indicating a potential uptrend in the price. +1
Monalisa Daily Chande Momentum Oscillator (CMO) ChartMonalisa Daily Chande Momentum Oscillator (CMO) Chart
3.5 Williams %R

 Shows the current price relative to the highest high over the last 14 days.
 

  • Lagging momentum indicator
  • Ranging between 0 and -100
  • Above -20 is considered overbought
  • Below -80 is considered oversold
  • Is prone to give false signals

Score

Let's take a look at the Williams %R of Monalisa. The current willr is -49.15583964.

The long score for the Williams %R is 0/1.
The longshort score for the Williams %R is 0/(-1 +1).

  • WILLR between -80 and -20: The Williams %R is between -80 and -20. This indicates that Monalisa is trading in a neutral price range, neither oversold nor overbought, suggesting a balanced market condition without any extreme price signals.
Monalisa Daily Williams %R ChartMonalisa Daily Williams %R Chart

4. Volatility Indicators

4.1 Bollinger Bands

Shows if the price is to high or to low relative to an average.

  • Lagging volatility indicator
  • Uses 3 bands: one upper, one lower and one in the middle
  • Works best when the middle band reflects an intermediate trend (MA20).
  • When the price is moving closer to the upper band, the market might be overbought
  • When the price is moving closer to the lower band, the market might be oversold 

Score

Let's take a look at the Bollinger Bands of Monalisa.

Monalisa Daily Bollinger Bands Chart
4.2 Average True Range (ATR)
Measures market volatility
  • Leading volatility indicator
  • Can be used to determine stop-loss positions
  • Calculated by:
    • Current high minus the current low
    • Current high minus the previous close
    • Current low minus the previous close
  • The larger the range of the candles, the greater the ATR value

Score

Let's take a look at the Average True Range (ATR) of Monalisa. The current atr is 106.26.

Monalisa Daily Average True Range (ATR) ChartMonalisa Daily Average True Range (ATR) Chart

5. Volume Indicators

5.1 On-Balance Volume (OBV)

 Measures market volatility

  • Leading momentum indicator
  • Calculation:
    • If the closing price is above the previous closing price: OBV = previous OBV + current volume
    • If the closing price is below the previous closing price: OBV = previous OBV - current volume
    • If the closing price is the same as the previous closing price than the OBV is the same.
  • Can be used to confirm price trends
  • Can be used with divergences

Score

Let's take a look at the On-Balance Volume (OBV) of Monalisa. The current obv is 145,047,121.

Monalisa Daily On-Balance Volume (OBV) ChartMonalisa Daily On-Balance Volume (OBV) Chart
5.2 Money Flow Index (MFI)

Measures the flow of money in and out of a security

  • Lagging momentum indicator
  • Looks like RSI but uses volume as an extra metric (RSI only considers price)
  • Above 80 is considered overbought
  • Below 20 is considered oversold
  • Can be used with divergences

Score

Let's take a look at the Money Flow Index (MFI) of Monalisa. The current mfi is 86.21.

The long score for the Money Flow Index (MFI) is 2/2.
The longshort score for the Money Flow Index (MFI) is 2/(-2 +2).

  • MFI > 50: +1
  • MFI > 80: +1
Monalisa Daily Money Flow Index (MFI) ChartMonalisa Daily Money Flow Index (MFI) Chart

6. Summary

6.1. Notifications

TypeNotificationDate
PenkeCurrently no notifications for Monalisa.

6.2. Trading Signals

Below you will find trading signals as the indicator is commonly used. This doesn't mean you should use it that way. Learn from these, but don't use them blindly. I recommend using at least 4 indicators, 1 from each category: trend, momentum, volatility and volume.

DateIndicatorSignal
2023-11-06STOCH LONG EXITThe %K line crosses below the %D line.
2023-11-09CMO SHORT ENTRY LONG CLOSEZero line crossover to downside
2023-11-10STOCH SHORT EXITThe %K line crosses above the %D line.
CMO LONG ENTRY SHORT CLOSEZero line crossover to upside
2023-11-13STOCH LONG EXITThe %K line crosses below the %D line.
2023-11-14STOCH SHORT EXITThe %K line crosses above the %D line.
2023-11-20STOCH LONG EXITThe %K line crosses below the %D line.
2023-11-21STOCH SHORT EXITThe %K line crosses above the %D line.
BB SHORT ENTRY LONG CLOSEPrice closed above the lower band.
2023-11-22STOCH LONG EXITThe %K line crosses below the %D line.
2023-11-24STOCH SHORT EXITThe %K line crosses above the %D line.
CCI LONG ENTRY SHORT CLOSE100 crossover to upside
2023-11-27WILLR LONG ENTRY SHORT CLOSE-20 crossover to upside
MFI LONG ENTRY SHORT CLOSE80 crossover to upside
2023-11-29STOCH LONG EXITThe %K line crosses below the %D line.
CMO SHORT ENTRY LONG CLOSEZero line crossover to downside
ATR SHORT ENTRY LONG CLOSEPrice closed below (close - ATR).
2023-11-30CMO LONG ENTRY SHORT CLOSEZero line crossover to upside
BB SHORT ENTRY LONG CLOSEPrice closed above the lower band.
2023-12-01STOCH SHORT EXITThe %K line crosses above the %D line.
CCI LONG ENTRY SHORT CLOSE100 crossover to upside
WILLR LONG ENTRY SHORT CLOSE-20 crossover to upside
2023-12-04STOCH LONG EXITThe %K line crosses below the %D line.
2023-12-07STOCH SHORT EXITThe %K line crosses above the %D line.
2023-12-08STOCH LONG EXITThe %K line crosses below the %D line.
MFI SHORT ENTRY LONG CLOSE80 crossover to downside
2023-12-12SAR SHORT ENTRY LONG CLOSEThe price broke the SAR to the downside
2023-12-13MACD SHORT ENTRY LONG CLOSEThe MACD line crosses below the signal line.
CMO SHORT ENTRY LONG CLOSEZero line crossover to downside
2023-12-18STOCH SHORT EXITThe %K line crosses above the %D line.
2023-12-19STOCH LONG EXITThe %K line crosses below the %D line.
2023-12-20STOCH SHORT EXITThe %K line crosses above the %D line.
CMO LONG ENTRY SHORT CLOSEZero line crossover to upside
2023-12-21STOCH LONG EXITThe %K line crosses below the %D line.
CMO SHORT ENTRY LONG CLOSEZero line crossover to downside
WILLR SHORT ENTRY LONG CLOSE-80 crossover to downside
2023-12-22CCI SHORT ENTRY LONG CLOSE-100 crossover to downside
2023-12-26STOCH SHORT EXITThe %K line crosses above the %D line.
2024-01-03MACD LONG ENTRY SHORT CLOSEThe MACD line crosses above the signal line.
SAR LONG ENTRY SHORT CLOSEThe price broke the SAR to the upside.
CCI LONG ENTRY SHORT CLOSE100 crossover to upside
CMO LONG ENTRY SHORT CLOSEZero line crossover to upside
BB SHORT ENTRY LONG CLOSEPrice closed above the lower band.
ATR LONG ENTRY SHORT CLOSEPrice closed above (close + ATR).
MFI LONG ENTRY SHORT CLOSE80 crossover to upside
2024-01-04RSI SHORT ENTRY LONG CLOSE70 crossover to downside
2024-01-05STOCH LONG EXITThe %K line crosses below the %D line.
2024-01-08STOCH SHORT EXITThe %K line crosses above the %D line.
2024-01-12RSI SHORT ENTRY LONG CLOSE70 crossover to downside
STOCH LONG EXITThe %K line crosses below the %D line.
2024-01-17STOCH LONG EXITThe %K line crosses below the %D line.
2024-01-18STOCH SHORT EXITThe %K line crosses above the %D line.
2024-01-23STOCH LONG EXITThe %K line crosses below the %D line.
MFI SHORT ENTRY LONG CLOSE80 crossover to downside
2024-01-24MACD SHORT ENTRY LONG CLOSEThe MACD line crosses below the signal line.
2024-01-25CMO SHORT ENTRY LONG CLOSEZero line crossover to downside
MFI LONG ENTRY SHORT CLOSE80 crossover to upside
2024-01-26STOCH SHORT EXITThe %K line crosses above the %D line.
CMO LONG ENTRY SHORT CLOSEZero line crossover to upside
2024-01-29MFI SHORT ENTRY LONG CLOSE80 crossover to downside
2024-01-31SAR SHORT ENTRY LONG CLOSEThe price broke the SAR to the downside
STOCH LONG EXITThe %K line crosses below the %D line.
CCI SHORT ENTRY LONG CLOSE-100 crossover to downside
CMO SHORT ENTRY LONG CLOSEZero line crossover to downside
WILLR SHORT ENTRY LONG CLOSE-80 crossover to downside
2024-02-02STOCH SHORT EXITThe %K line crosses above the %D line.
CMO LONG ENTRY SHORT CLOSEZero line crossover to upside
2024-02-05BB SHORT ENTRY LONG CLOSEPrice closed above the lower band.
2024-02-06STOCH LONG EXITThe %K line crosses below the %D line.
2024-02-07STOCH SHORT EXITThe %K line crosses above the %D line.
BB SHORT ENTRY LONG CLOSEPrice closed above the lower band.
2024-02-08STOCH LONG EXITThe %K line crosses below the %D line.
2024-02-13STOCH SHORT EXITThe %K line crosses above the %D line.
BB SHORT ENTRY LONG CLOSEPrice closed above the lower band.
2024-02-15MACD LONG ENTRY SHORT CLOSEThe MACD line crosses above the signal line.
CCI LONG ENTRY SHORT CLOSE100 crossover to upside
2024-02-16STOCH LONG EXITThe %K line crosses below the %D line.
2024-02-19STOCH SHORT EXITThe %K line crosses above the %D line.
2024-02-20STOCH LONG EXITThe %K line crosses below the %D line.
2024-02-21MACD SHORT ENTRY LONG CLOSEThe MACD line crosses below the signal line.
CMO SHORT ENTRY LONG CLOSEZero line crossover to downside
2024-02-23STOCH SHORT EXITThe %K line crosses above the %D line.
CMO LONG ENTRY SHORT CLOSEZero line crossover to upside
2024-02-26STOCH LONG EXITThe %K line crosses below the %D line.
CMO SHORT ENTRY LONG CLOSEZero line crossover to downside
2024-02-27WILLR SHORT ENTRY LONG CLOSE-80 crossover to downside
2024-02-28CCI SHORT ENTRY LONG CLOSE-100 crossover to downside
2024-02-29STOCH SHORT EXITThe %K line crosses above the %D line.
2024-03-04STOCH LONG EXITThe %K line crosses below the %D line.
CCI SHORT ENTRY LONG CLOSE-100 crossover to downside
2024-03-06STOCH SHORT EXITThe %K line crosses above the %D line.
2024-03-07DMI SHORT ENTRY LONG CLOSEThe +DI crossed the -DI to the downside. The trend is reversing to a down trend.
STOCH LONG EXITThe %K line crosses below the %D line.
ATR SHORT ENTRY LONG CLOSEPrice closed below (close - ATR).
MFI SHORT ENTRY LONG CLOSE20 crossover to downside
2024-03-08STOCH SHORT EXITThe %K line crosses above the %D line.
ATR LONG ENTRY SHORT CLOSEPrice closed above (close + ATR).
MFI LONG ENTRY SHORT CLOSE20 crossover to upside
2024-03-12STOCH LONG EXITThe %K line crosses below the %D line.
CCI SHORT ENTRY LONG CLOSE-100 crossover to downside
WILLR SHORT ENTRY LONG CLOSE-80 crossover to downside
2024-03-13STOCH SHORT EXITThe %K line crosses above the %D line.
2024-03-14DMI LONG ENTRY SHORT CLOSEThe +DI crossed the -DI to the upside. The trend is reversing to an up trend.
CMO LONG ENTRY SHORT CLOSEZero line crossover to upside
2024-03-15CMO SHORT ENTRY LONG CLOSEZero line crossover to downside
2024-03-18MACD LONG ENTRY SHORT CLOSEThe MACD line crosses above the signal line.
SAR LONG ENTRY SHORT CLOSEThe price broke the SAR to the upside.
CMO LONG ENTRY SHORT CLOSEZero line crossover to upside
WILLR LONG ENTRY SHORT CLOSE-20 crossover to upside
ATR LONG ENTRY SHORT CLOSEPrice closed above (close + ATR).
2024-03-20STOCH LONG EXITThe %K line crosses below the %D line.
CCI LONG ENTRY SHORT CLOSE100 crossover to upside
BB SHORT ENTRY LONG CLOSEPrice closed above the lower band.
ATR LONG ENTRY SHORT CLOSEPrice closed above (close + ATR).
MFI LONG ENTRY SHORT CLOSE80 crossover to upside
2024-03-21STOCH SHORT EXITThe %K line crosses above the %D line.
WILLR LONG ENTRY SHORT CLOSE-20 crossover to upside
2024-03-25STOCH LONG EXITThe %K line crosses below the %D line.

6.3. Candlestick Patterns

Monalisa Daily Candlestick Chart
DateCandlestick Pattern

6.4. Technical Score

Let's check the technical score of Monalisa based on Penke's default Symbol scanner.

Penke's Symbol Scanner

  
  
IndicatorConditionValue
RsiGreater than5054.741
Ma 20Greater thanMa 502,885.418
Ma 50Greater thanMa 1002,877.865
Ma 100Greater thanMa 2002,761.103
OpenGreater thanClose3,030.000
Total5/5 (100.0%)
Penke

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