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MongoDB
Buy, Hold or Sell?

Let's analyse Mongodb together

PenkeI guess you are interested in MongoDB. 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 MongoDB. 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 Mongodb (30 sec.)










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

How much money do you get?

How much money do you get?
€0.00
When do you have the money?
1 year
How often do you get paid?
0.0%

What is your share worth?

Current worth
€13.71
Expected worth in 1 year
€17.94
How sure are you?
47.6%

+ What do you gain per year?

Total Gains per Share
€4.23
Return On Investment
1.2%

For what price can you sell your share?

Current Price per Share
€344.70
Expected price per share
€303.40 - €472.80
How sure are you?
50%

1. Valuation of Mongodb (5 min.)




Live pricePrice per Share (EOD)

€344.70

Intrinsic Value Per Share

€45.67 - €54.85

Total Value Per Share

€59.38 - €68.56

2. Growth of Mongodb (5 min.)




Is Mongodb growing?

Current yearPrevious yearGrowGrow %
How rich?$1b$691.2m$237.3m25.6%

How much money is Mongodb making?

Current yearPrevious yearGrowGrow %
Making money-$44.1m-$86.3m$42.1m95.6%
Net Profit Margin-10.6%-27.4%--

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

3. Financial Health of Mongodb (5 min.)




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

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

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

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

Speculation

The Price per Share of Mongodb is €344.70. 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 Mongodb.
  • 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 Mongodb, 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 €13.71. Based on the TTM, the Book Value Change Per Share is €1.06 per quarter. Based on the YOY, the Book Value Change Per Share is €0.23 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 €0.00 per quarter.
Based on historical numbers we can estimate the returns while holding a share of Mongodb.

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 Eps-0.76-0.2%-0.61-0.2%-1.19-0.3%-0.87-0.3%-0.84-0.2%
Usd Book Value Change Per Share1.390.4%1.130.3%0.250.1%0.550.2%0.700.2%
Usd Dividend Per Share0.000.0%0.000.0%0.000.0%0.000.0%0.000.0%
Usd Total Gains Per Share1.390.4%1.130.3%0.250.1%0.550.2%0.700.2%
Usd Price Per Share396.40-346.74-274.28-269.21-260.44-
Price to Earnings Ratio-130.14--155.73--59.31--84.13--90.25-
Price-to-Total Gains Ratio284.58-308.50-94.50-19.93-20.10-
Price to Book Ratio27.01-27.08-29.15--145.72--137.66-
Price-to-Total Gains Ratio284.58-308.50-94.50-19.93-20.10-

When do you get the money?

Usd Investment
$.00
Usd Price Per Share368.89794
Number of shares2
Gains per QuarterTrailing 12 Months5 Year
Usd Dividend Per Share0.000.00
Usd Book Value Change Per Share1.130.55
Usd Total Gains Per Share1.130.55
Gains per Quarter (2 shares)2.261.10
Gains per Year (2 shares)9.054.42
YearsReturn on Investment (TTM)Return on Investment (5Y)
 DividendBook Value gainTotal gainsDividendBook Value gainTotal gains
Broker costs---10---10
109-104-6
2018809-2
3027170132
4036260186
50453502210
60544402714
70635303118
80726203522
90817104026
100908004430

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 Share0.04.00.00.0%0.012.00.00.0%0.020.00.00.0%0.021.00.00.0%0.021.00.00.0%
Book Value Change Per Share4.00.00.0100.0%9.03.00.075.0%9.011.00.045.0%10.011.00.047.6%10.011.00.047.6%
Dividend per Share0.00.04.00.0%0.00.012.00.0%0.00.020.00.0%0.00.021.00.0%0.00.021.00.0%
Total Gains per Share4.00.00.0100.0%9.03.00.075.0%9.011.00.045.0%10.011.00.047.6%10.011.00.047.6%

Fundamentals of Mongodb

About MongoDB

MongoDB, Inc., together with its subsidiaries, provides general purpose database platform worldwide. The company provides MongoDB Atlas, a hosted multi-cloud database-as-a-service solution; MongoDB Enterprise Advanced, a commercial database server for enterprise customers to run in the cloud, on-premises, or in a hybrid environment; and Community Server, a free-to-download version of its database, which includes the functionality that developers need to get started with MongoDB. It offers professional services comprising consulting and training. The company was formerly known as 10gen, Inc. and changed its name to MongoDB, Inc. in August 2013. MongoDB, Inc. was incorporated in 2007 and is headquartered in New York, New York.

Fundamental data was last updated by Penke on 2024-04-18 05:16:05.

Financial Health

Profitability Details
 Compared to previous yearCompared to industry
The company is making a huge loss.
Using its assets, the company is very inefficient in making profit.
Using its investors money, the company is very inefficient in making profit.
Operating Efficiency Details
 Compared to previous yearCompared to industry
The company is operating very inefficient.
The company is inefficient in keeping operating costs low.
Liquidity Details
 Compared to previous yearCompared to industry
The company is very able to pay all its short-term debts.
The company is very able to pay all its short-term debts with the most liquid assets.
Solvency Details
 Compared to previous yearCompared to industry
The company is able to pay all its debts by selling its assets.
The company is just able to pay all its debts with equity.

Valuation

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

1.1. Profitability of MongoDB.

1.1. Profitability
1.1.1. Net Profit Margin

Measures how much net profit Mongodb earns for each €1 of revenue.

  • Above 10% is considered healthy but always compare Mongodb to the Software - Infrastructure industry mean.
  • A Net Profit Margin of -12.1% means that €-0.12 for each €1 in revenue is generated as profit.

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

  • The MRQ is -12.1%. The company is making a huge loss. -2
  • The TTM is -10.6%. The company is making a huge loss. -2
Trends
Current periodCompared to+/- 
MRQ-12.1%TTM-10.6%-1.5%
TTM-10.6%YOY-27.4%+16.7%
TTM-10.6%5Y-31.9%+21.3%
5Y-31.9%10Y-30.8%-1.2%
1.1.2. Return on Assets

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

  • Above 5% is considered healthy but always compare Mongodb to the Software - Infrastructure industry mean.
  • -1.9% Return on Assets means that Mongodb generated €-0.02 profit for each $1 in assets.

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

  • The MRQ is -1.9%. Using its assets, the company is very inefficient in making profit. -2
  • The TTM is -1.6%. Using its assets, the company is very inefficient in making profit. -2
Trends
Current periodCompared to+/- 
MRQ-1.9%TTM-1.6%-0.3%
TTM-1.6%YOY-3.5%+1.9%
TTM-1.6%5Y-3.8%+2.1%
5Y-3.8%10Y-3.6%-0.1%
1.1.3. Return on Equity

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

  • Above 15%-20% is considered healthy but always compare Mongodb to the Software - Infrastructure industry mean.
  • -5.2% Return on Equity means Mongodb generated €-0.05 for each €1 the owners (shareholders) invested.

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

  • The MRQ is -5.2%. Using its investors money, the company is very inefficient in making profit. -2
  • The TTM is -4.8%. Using its investors money, the company is very inefficient in making profit. -2
Trends
Current periodCompared to+/- 
MRQ-5.2%TTM-4.8%-0.4%
TTM-4.8%YOY-12.6%+7.8%
TTM-4.8%5Y-39.1%+34.3%
5Y-39.1%10Y-37.4%-1.7%

1.2. Operating Efficiency of MongoDB.

1.2. Operating Efficiency
1.2.1. Operating Margin

Measures how efficient Mongodb is operating .

  • Measures how much profit Mongodb 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 Mongodb to the Software - Infrastructure 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 MongoDB:

  • The MRQ is 0.0%. The data is not here.
Trends
Current periodCompared to+/- 
MRQ-TTM-7.5%+7.5%
TTM-7.5%YOY-27.4%+19.8%
TTM-7.5%5Y-26.8%+19.3%
5Y-26.8%10Y-25.7%-1.1%
1.2.2. Operating Ratio

Measures how efficient Mongodb is keeping operating costs low.

  • Below 1 is considered healthy (always compare to Software - Infrastructure industry mean).
  • An Operation Ratio of 1.41 means that the operating costs are €1.41 for each €1 in net sales.

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

  • The MRQ is 1.405. The company is inefficient in keeping operating costs low. -1
  • The TTM is 1.393. The company is inefficient in keeping operating costs low. -1
Trends
Current periodCompared to+/- 
MRQ1.405TTM1.393+0.012
TTM1.393YOY1.547-0.154
TTM1.3935Y1.575-0.182
5Y1.57510Y1.552+0.023

1.3. Liquidity of MongoDB.

1.3. Liquidity
1.3.1. Current Ratio

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

  • Above 1.5 is considered healthy (always compare to Software - Infrastructure industry mean).
  • A Current Ratio of 4.40 means the company has €4.40 in assets for each €1 in short-term debts.

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

  • The MRQ is 4.402. The company is very able to pay all its short-term debts. +2
  • The TTM is 4.453. The company is very able to pay all its short-term debts. +2
Trends
Current periodCompared to+/- 
MRQ4.402TTM4.453-0.051
TTM4.453YOY4.019+0.434
TTM4.4535Y4.056+0.397
5Y4.05610Y4.027+0.029
1.3.2. Quick Ratio

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

  • Above 1 is considered healthy but always compare Mongodb to the Software - Infrastructure industry mean.
  • A Quick Ratio of 2.73 means the company can pay off €2.73 for each €1 in debt (using most liquid assets).

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

  • The MRQ is 2.726. The company is very able to pay all its short-term debts with the most liquid assets. +2
  • The TTM is 2.978. The company is very able to pay all its short-term debts with the most liquid assets. +2
Trends
Current periodCompared to+/- 
MRQ2.726TTM2.978-0.252
TTM2.978YOY2.609+0.368
TTM2.9785Y2.367+0.611
5Y2.36710Y2.3670.000

1.4. Solvency of MongoDB.

1.3. Liquidity
1.4.1. Debt to Asset Ratio

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

  • Below 1 (100%) is considered healthy but always compare Mongodb to Software - Infrastructure industry mean.
  • A Debt to Asset Ratio of 0.63 means that Mongodb assets are financed with 62.7% credit (debt) and the remaining percentage (100% - 62.7%) is financed by its owners/shareholders. 

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

  • The MRQ is 0.627. The company is able to pay all its debts by selling its assets. +1
  • The TTM is 0.657. The company is able to pay all its debts by selling its assets. +1
Trends
Current periodCompared to+/- 
MRQ0.627TTM0.657-0.029
TTM0.657YOY0.722-0.065
TTM0.6575Y0.787-0.130
5Y0.78710Y0.780+0.007
1.4.2. Debt to Equity Ratio

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

  • Below 2 is considered healthy but always compare Mongodb to the Software - Infrastructure industry mean.
  • A Debt to Equity ratio of 168.4% means that company has €1.68 debt for each €1 in shareholders equity.

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

  • The MRQ is 1.684. The company is just able to pay all its debts with equity.
  • The TTM is 1.929. The company is just able to pay all its debts with equity.
Trends
Current periodCompared to+/- 
MRQ1.684TTM1.929-0.245
TTM1.929YOY2.598-0.669
TTM1.9295Y7.785-5.856
5Y7.78510Y7.499+0.286

2. Market Valuation of MongoDB

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 Mongodb generates.

  • Above 15 is considered overpriced but always compare Mongodb to the Software - Infrastructure industry mean.
  • A PE ratio of -130.14 means the investor is paying €-130.14 for every €1 in earnings.

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

  • The EOD is -121.112. Based on the earnings, the company is expensive. -2
  • The MRQ is -130.141. Based on the earnings, the company is expensive. -2
  • The TTM is -155.731. Based on the earnings, the company is expensive. -2
Trends
Current periodCompared to+/- 
EOD-121.112MRQ-130.141+9.030
MRQ-130.141TTM-155.731+25.590
TTM-155.731YOY-59.312-96.419
TTM-155.7315Y-84.130-71.601
5Y-84.13010Y-90.252+6.122
2.2. Price To Free Cash Flow Ratio

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

  • The EOD is 129.446. Based on how much money comes from the company's main activities, the company is expensive. -2
  • The MRQ is 139.098. Based on how much money comes from the company's main activities, the company is expensive. -2
  • The TTM is 25.873. Based on how much money comes from the company's main activities, the company is underpriced. +1
Trends
Current periodCompared to+/- 
EOD129.446MRQ139.098-9.651
MRQ139.098TTM25.873+113.225
TTM25.873YOY60.277-34.405
TTM25.8735Y-84.257+110.130
5Y-84.25710Y-80.245-4.012
2. Book Value per Share
2.3. Price to Book Ratio

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

  • At or below 1 is considered healthy (always compare to Software - Infrastructure industry mean).
  • A PB ratio of 27.01 means the investor is paying €27.01 for each €1 in book value.

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

  • The EOD is 25.133. Based on the equity, the company is expensive. -2
  • The MRQ is 27.007. Based on the equity, the company is expensive. -2
  • The TTM is 27.081. Based on the equity, the company is expensive. -2
Trends
Current periodCompared to+/- 
EOD25.133MRQ27.007-1.874
MRQ27.007TTM27.081-0.073
TTM27.081YOY29.148-2.067
TTM27.0815Y-145.716+172.796
5Y-145.71610Y-137.662-8.054
2. Total Gains per Share

3. Summary

3.1. Key Performance Indicators

The key performance indicators of MongoDB 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--1.3021.057+23%0.234+457%0.516+152%0.653+99%
Book Value Per Share--13.71511.912+15%8.868+55%5.857+134%5.740+139%
Current Ratio--4.4024.453-1%4.019+10%4.056+9%4.027+9%
Debt To Asset Ratio--0.6270.657-4%0.722-13%0.787-20%0.780-20%
Debt To Equity Ratio--1.6841.929-13%2.598-35%7.785-78%7.499-78%
Dividend Per Share----0%-0%-0%-0%
Eps---0.712-0.566-20%-1.108+56%-0.816+15%-0.781+10%
Free Cash Flow Per Share--0.6660.370+80%-0.065+110%0.023+2858%0.023+2858%
Free Cash Flow To Equity Per Share--0.8930.493+81%0.032+2689%1.198-25%1.198-25%
Gross Profit Margin--1.0001.0000%1.0000%1.0000%1.0000%
Intrinsic Value_10Y_max--54.849--------
Intrinsic Value_10Y_min--45.668--------
Intrinsic Value_1Y_max--1.141--------
Intrinsic Value_1Y_min--1.119--------
Intrinsic Value_3Y_max--6.748--------
Intrinsic Value_3Y_min--6.375--------
Intrinsic Value_5Y_max--16.356--------
Intrinsic Value_5Y_min--14.896--------
Market Cap25104881548.800-7%26976640921.60023597277696.000+14%18665701566.400+45%18320409302.336+47%17723622565.791+52%
Net Profit Margin---0.121-0.106-12%-0.274+126%-0.319+164%-0.308+154%
Operating Margin----0.0750%-0.2740%-0.2680%-0.2570%
Operating Ratio--1.4051.393+1%1.547-9%1.575-11%1.552-9%
Pb Ratio25.133-7%27.00727.0810%29.148-7%-145.716+640%-137.662+610%
Pe Ratio-121.112+7%-130.141-155.731+20%-59.312-54%-84.130-35%-90.252-31%
Price Per Share344.700-7%370.400324.000+14%256.288+45%251.547+47%243.352+52%
Price To Free Cash Flow Ratio129.446-7%139.09825.873+438%60.277+131%-84.257+161%-80.245+158%
Price To Total Gains Ratio264.836-7%284.582308.499-8%94.504+201%19.934+1328%20.100+1316%
Quick Ratio--2.7262.978-8%2.609+4%2.367+15%2.367+15%
Return On Assets---0.019-0.016-15%-0.035+80%-0.038+94%-0.036+87%
Return On Equity---0.052-0.048-7%-0.126+143%-0.391+654%-0.374+621%
Total Gains Per Share--1.3021.057+23%0.234+457%0.516+152%0.653+99%
Usd Book Value--1068983526.776928505996.025+15%691205711.009+55%456533262.538+134%447391899.818+139%
Usd Book Value Change Per Share--1.3931.131+23%0.250+457%0.552+152%0.699+99%
Usd Book Value Per Share--14.67812.749+15%9.491+55%6.268+134%6.143+139%
Usd Dividend Per Share----0%-0%-0%-0%
Usd Eps---0.761-0.606-20%-1.186+56%-0.873+15%-0.836+10%
Usd Free Cash Flow--51888734.32828850602.284+80%-5053474.126+110%1490942.366+3380%1419945.111+3554%
Usd Free Cash Flow Per Share--0.7120.396+80%-0.069+110%0.024+2858%0.024+2858%
Usd Free Cash Flow To Equity Per Share--0.9560.527+81%0.034+2689%1.282-25%1.282-25%
Usd Market Cap26867244233.526-7%28870401114.29625253806590.259+14%19976033816.361+45%19606502035.360+47%18967820869.909+52%
Usd Price Per Share368.898-7%396.402346.745+14%274.279+45%269.205+47%260.436+52%
Usd Profit---55459716.045-44149773.952-20%-86349057.891+56%-63566174.540+15%-60885926.358+10%
Usd Revenue--457999655.030420750595.746+9%321008356.429+43%242645407.649+89%235677459.992+94%
Usd Total Gains Per Share--1.3931.131+23%0.250+457%0.552+152%0.699+99%
 EOD+3 -5MRQTTM+19 -13YOY+30 -25Y+27 -510Y+27 -5

3.2. Fundamental Score

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

Penke's Stock Scanner

  
  
IndicatorConditionValue
Price to Earnings Ratio (EOD)Between0-15-121.112
Price to Book Ratio (EOD)Between0-125.133
Net Profit Margin (MRQ)Greater than0-0.121
Operating Margin (MRQ)Greater than00.000
Quick Ratio (MRQ)Greater than12.726
Current Ratio (MRQ)Greater than14.402
Debt to Asset Ratio (MRQ)Less than10.627
Debt to Equity Ratio (MRQ)Less than11.684
Return on Equity (MRQ)Greater than0.15-0.052
Return on Assets (MRQ)Greater than0.05-0.019
Total3/10 (30.0%)

3.3. Technical Score

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

Penke's Symbol Scanner

  
  
IndicatorConditionValue
OpenGreater thanClose344.450
Total0/1 (0.0%)



Reversals in quarterly reports

I have detected a reversal (positive to negative, negative to positive) in the following values of the quarterly reports.

 2023-01-312023-04-302023-07-312023-10-312024-01-31
Total Other Income Expense Net 10,7134,97415,687-1,67614,010-12,9261,084-2,087-1,004



Latest Balance Sheet

Balance Sheet of 2024-01-31. Currency in USD. All numbers in thousands.

Summary
Total Assets2,869,642
Total Liabilities1,800,653
Total Stockholder Equity1,068,989
 As reported
Total Liabilities 1,800,653
Total Stockholder Equity+ 1,068,989
Total Assets = 2,869,642

Assets

Total Assets2,869,642
Total Current Assets2,483,636
Long-term Assets386,006
Total Current Assets
Cash And Cash Equivalents 802,959
Short-term Investments 1,212,448
Net Receivables 325,610
Other Current Assets 50,107
Total Current Assets  (as reported)2,483,636
Total Current Assets  (calculated)2,391,124
+/- 92,512
Long-term Assets
Property Plant Equipment 90,407
Goodwill 69,679
Intangible Assets 3,957
Long-term Assets Other 217,847
Long-term Assets  (as reported)386,006
Long-term Assets  (calculated)381,890
+/- 4,116

Liabilities & Shareholders' Equity

Total Current Liabilities564,220
Long-term Liabilities1,236,433
Total Stockholder Equity1,068,989
Total Current Liabilities
Accounts payable 9,905
Total Current Liabilities  (as reported)564,220
Total Current Liabilities  (calculated)9,905
+/- 554,315
Long-term Liabilities
Long term Debt 1,143,273
Capital Lease Obligations Min Short Term Debt40,715
Long-term Liabilities Other 41,661
Long-term Liabilities  (as reported)1,236,433
Long-term Liabilities  (calculated)1,225,649
+/- 10,784
Total Stockholder Equity
Total Stockholder Equity (as reported)1,068,989
Total Stockholder Equity (calculated)0
+/- 1,068,989
Other
Capital Stock73
Common Stock Shares Outstanding 72,741
Net Debt 340,314
Net Invested Capital 2,212,262
Net Working Capital 1,919,416
Property Plant and Equipment Gross 115,198



Balance Sheet

Currency in USD. All numbers in thousands.

 Trend2024-01-312023-10-312023-07-312023-04-302023-01-312022-10-312022-07-312022-04-302022-01-312021-10-312021-07-312021-04-302021-01-312020-10-312020-07-312020-04-302020-01-312019-10-312019-07-312019-04-302019-01-31
> Total Assets 
733,476
734,241
741,597
734,985
1,328,567
1,336,842
1,355,163
1,355,861
1,407,495
1,377,627
2,281,411
2,351,612
2,449,588
2,434,541
2,451,598
2,467,186
2,588,893
2,580,525
2,648,234
2,694,017
2,869,642
2,869,6422,694,0172,648,2342,580,5252,588,8932,467,1862,451,5982,434,5412,449,5882,351,6122,281,4111,377,6271,407,4951,355,8611,355,1631,336,8421,328,567734,985741,597734,241733,476
   > Total Current Assets 
566,236
567,189
533,373
525,621
1,113,196
1,100,406
1,104,823
1,103,786
1,141,887
1,096,022
1,996,111
2,054,570
2,117,402
2,096,307
2,108,514
2,122,255
2,236,584
2,232,294
2,294,962
2,320,593
2,483,636
2,483,6362,320,5932,294,9622,232,2942,236,5842,122,2552,108,5142,096,3072,117,4022,054,5701,996,1111,096,0221,141,8871,103,7861,104,8231,100,4061,113,196525,621533,373567,189566,236
       Cash And Cash Equivalents 
147,831
158,060
186,684
151,307
706,192
700,645
469,492
414,762
429,697
407,055
1,160,996
748,140
473,904
456,275
651,420
999,674
455,826
721,787
607,175
477,675
802,959
802,959477,675607,175721,787455,826999,674651,420456,275473,904748,1401,160,996407,055429,697414,762469,492700,645706,192151,307186,684158,060147,831
       Short-term Investments 
318,139
318,346
249,369
274,560
280,326
276,372
505,404
551,539
528,045
527,988
653,829
1,054,746
1,352,019
1,372,420
1,144,192
787,858
1,380,804
1,181,641
1,293,926
1,447,036
1,212,448
1,212,4481,447,0361,293,9261,181,6411,380,804787,8581,144,1921,372,4201,352,0191,054,746653,829527,988528,045551,539505,404276,372280,326274,560249,369318,346318,139
       Net Receivables 
72,808
61,600
66,783
67,506
85,554
80,760
87,193
91,784
135,176
100,646
120,152
182,701
195,383
164,885
213,267
231,260
285,192
211,575
272,392
271,679
325,610
325,610271,679272,392211,575285,192231,260213,267164,885195,383182,701120,152100,646135,17691,78487,19380,76085,55467,50666,78361,60072,808
       Other Current Assets 
0
0
0
19,717
24,219
25,737
27,453
30,090
36,619
39,595
43,358
49,537
63,523
66,754
72,069
77,446
83,550
82,867
84,140
36,982
50,107
50,10736,98284,14082,86783,55077,44672,06966,75463,52349,53743,35839,59536,61930,09027,45325,73724,21919,717000
   > Long-term Assets 
34,611
167,052
208,224
209,364
215,371
236,436
250,340
252,075
265,608
281,605
285,300
297,042
332,186
338,234
343,084
344,931
352,309
348,231
353,272
373,424
386,006
386,006373,424353,272348,231352,309344,931343,084338,234332,186297,042285,300281,605265,608252,075250,340236,436215,371209,364208,224167,05234,611
       Property Plant Equipment 
0
72,687
71,327
71,569
69,463
90,879
102,635
100,497
96,951
105,925
104,078
104,088
104,370
108,009
108,022
102,974
99,035
95,284
96,084
94,073
90,407
90,40794,07396,08495,28499,035102,974108,022108,009104,370104,088104,078105,92596,951100,497102,63590,87969,46371,56971,32772,6870
       Goodwill 
41,878
41,878
55,484
55,484
55,830
55,830
55,830
55,830
55,830
57,775
57,775
57,775
57,775
57,775
57,779
57,779
57,779
57,779
57,779
69,679
69,679
69,67969,67957,77957,77957,77957,77957,77957,77557,77557,77557,77557,77555,83055,83055,83055,83055,83055,48455,48441,87841,878
       Intangible Assets 
15,894
14,223
40,102
36,982
34,779
32,650
30,525
28,400
26,275
27,493
25,198
22,903
20,608
18,313
16,018
13,723
11,428
9,133
6,838
7,127
3,957
3,9577,1276,8389,13311,42813,72316,01818,31320,60822,90325,19827,49326,27528,40030,52532,65034,77936,98240,10214,22315,894
       Other Assets 
0
38,264
41,311
45,329
55,299
57,077
61,350
66,848
86,052
89,012
96,649
109,476
144,633
146,437
153,565
161,155
174,267
186,035
179,471
0
0
00179,471186,035174,267161,155153,565146,437144,633109,47696,64989,01286,05266,84861,35057,07755,29945,32941,31138,2640
> Total Liabilities 
468,910
486,373
502,254
516,150
1,245,709
1,273,801
1,307,012
1,334,057
1,412,528
1,645,991
1,607,687
1,688,707
1,782,888
1,761,662
1,783,430
1,782,904
1,849,385
1,788,096
1,763,149
1,726,477
1,800,653
1,800,6531,726,4771,763,1491,788,0961,849,3851,782,9041,783,4301,761,6621,782,8881,688,7071,607,6871,645,9911,412,5281,334,0571,307,0121,273,8011,245,709516,150502,254486,373468,910
   > Total Current Liabilities 
164,637
178,167
189,002
204,522
242,384
241,017
252,661
271,539
354,541
328,681
347,903
432,199
526,735
503,722
524,897
517,807
588,512
532,567
512,296
489,563
564,220
564,220489,563512,296532,567588,512517,807524,897503,722526,735432,199347,903328,681354,541271,539252,661241,017242,384204,522189,002178,167164,637
       Accounts payable 
2,153
2,080
2,658
2,124
2,849
3,184
3,631
3,644
4,144
4,358
4,564
5,237
5,234
6,204
7,303
7,734
8,295
7,986
8,156
9,340
9,905
9,9059,3408,1567,9868,2957,7347,3036,2045,2345,2374,5644,3584,1443,6443,6313,1842,8492,1242,6582,0802,153
       Other Current Liabilities 
0
0
0
137,789
167,498
173,067
176,165
179,322
221,404
231,040
230,219
279,241
352,001
351,914
350,709
364,159
428,747
387,206
348,355
0
0
00348,355387,206428,747364,159350,709351,914352,001279,241230,219231,040221,404179,322176,165173,067167,498137,789000
   > Long-term Liabilities 
304,273
308,206
313,252
311,628
1,003,325
1,032,784
1,054,351
1,062,518
1,057,987
1,317,310
1,259,784
1,256,508
1,256,153
1,257,940
1,258,533
1,265,097
1,260,873
1,255,529
1,250,853
1,236,914
1,236,433
1,236,4331,236,9141,250,8531,255,5291,260,8731,265,0971,258,5331,257,9401,256,1531,256,5081,259,7841,317,3101,057,9871,062,5181,054,3511,032,7841,003,325311,628313,252308,206304,273
       Long term Debt 
216,858
220,079
223,356
226,690
911,075
923,098
935,292
947,652
937,729
1,192,488
1,136,697
1,135,684
1,136,521
1,137,361
1,138,200
1,139,042
1,139,880
1,140,727
1,141,574
1,142,423
1,143,273
1,143,2731,142,4231,141,5741,140,7271,139,8801,139,0421,138,2001,137,3611,136,5211,135,6841,136,6971,192,488937,729947,652935,292923,098911,075226,690223,356220,079216,858
       Capital Lease Obligations Min Short Term Debt
0
13,402
12,731
13,224
11,863
33,630
43,736
40,815
41,438
52,267
50,297
48,370
46,791
48,950
49,600
45,906
44,950
44,216
46,397
42,723
40,715
40,71542,72346,39744,21644,95045,90649,60048,95046,79148,37050,29752,26741,43840,81543,73633,63011,86313,22412,73113,4020
       Other Liabilities 
0
15,552
19,289
15,455
24,880
22,004
23,345
22,758
26,807
25,900
27,974
29,256
31,752
32,470
33,426
43,705
41,039
26,145
31,543
0
0
0031,54326,14541,03943,70533,42632,47031,75229,25627,97425,90026,80722,75823,34522,00424,88015,45519,28915,5520
       Long-term Liabilities Other 
69,399
62,748
61,605
61,179
60,035
59,286
60,509
61,040
59,129
61,651
60,641
60,920
57,665
56,652
55,339
54,374
52,980
53,046
51,127
42,790
41,661
41,66142,79051,12753,04652,98054,37455,33956,65257,66560,92060,64161,65159,12961,04060,50959,28660,03561,17961,60562,74869,399
> Total Stockholder Equity
264,566
247,868
239,343
218,835
82,858
63,041
48,151
21,804
-5,033
-268,364
673,724
662,905
666,700
672,879
668,168
684,282
739,508
792,429
885,085
967,540
1,068,989
1,068,989967,540885,085792,429739,508684,282668,168672,879666,700662,905673,724-268,364-5,03321,80448,15163,04182,858218,835239,343247,868264,566
   Common Stock
0
55
56
57
57
58
59
60
61
62
66
67
67
68
69
69
70
71
72
0
0
007271706969686767666261605958575756550
   Retained Earnings Total Equity000000000000000000000
   Accumulated Other Comprehensive Income 000000000000000000000
   Capital Surplus 000000000000000000000
   Treasury Stock000000000000000000000
   Other Stockholders Equity 
0
-103
-332
189
225
998
69
-337
-704
-760
-280
-1,292
-2,928
-4,679
-4,194
-3,791
-905
834
-4,042
0
0
00-4,042834-905-3,791-4,194-4,679-2,928-1,292-280-760-704-33769998225189-332-1030



Balance Sheet

Currency in USD. All numbers in thousands.




Cash Flow

Currency in USD. All numbers in thousands.




Income Statement

Currency in USD. All numbers in thousands.


Latest Income Statement (annual, 2024-01-31)

Gross Profit (+$)
totalRevenue1,683,011
Cost of Revenue-424,485
Gross Profit1,258,5261,258,526
 
Operating Income (+$)
Gross Profit1,258,526
Operating Expense-1,916,743
Operating Income-233,732-658,217
 
Operating Expense (+$)
Research Development515,940
Selling General Administrative976,318
Selling And Marketing Expenses-
Operating Expense1,916,7431,492,258
 
Net Interest Income (+$)
Interest Income80,238
Interest Expense-9,387
Other Finance Cost-0
Net Interest Income70,851
 
Pretax Income (+$)
Operating Income-233,732
Net Interest Income70,851
Other Non-Operating Income Expenses-
Income Before Tax (EBT)-163,516-233,097
EBIT - interestExpense = -9,387
-176,600
-167,213
Interest Expense9,387
Earnings Before Interest and Taxes (EBIT)--154,129
Earnings Before Interest and Taxes (EBITDA)-
 
After tax Income (+$)
Income Before Tax-163,516
Tax Provision-13,084
Net Income From Continuing Ops-176,600-176,600
Net Income-176,600
Net Income Applicable To Common Shares-
 
Non-recurring Events
Discontinued Operations-
Extraordinary Items-
Effect of Accounting Charges-
Other Items-
Non Recurring-
Other Operating Expenses-
Total Other Income/Expenses Net-635-70,851
 

Technical Analysis of Mongodb
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 Mongodb. The general trend of Mongodb is UNKNOWN with 0.0% 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 Mongodb'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 StateBullish trend Bearish trend
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 MongoDB.

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: 362.00 < 393.20 < 472.80.

The bearish price targets are: 337.05 > 305.00 > 303.40.

Tweet this
MongoDB 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 MongoDB. The current mas is .

Directionalities and relatives.

Moving AverageAmount of candlesTrendPrice +/-vs. MA 50vs. MA 100vs. MA 200

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

MongoDB 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 MongoDB.

MongoDB Daily Moving Average Convergence/Divergence (MACD) ChartMongoDB 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 MongoDB. The current adx is .

MongoDB 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 MongoDB.

MongoDB 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 MongoDB.

MongoDB Daily Relative Strength Index (RSI) ChartMongoDB 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 MongoDB.

MongoDB Daily Stochastic Oscillator ChartMongoDB 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 MongoDB.

MongoDB Daily Commodity Channel Index (CCI) ChartMongoDB 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 MongoDB.

MongoDB Daily Chande Momentum Oscillator (CMO) ChartMongoDB 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 MongoDB.

MongoDB Daily Williams %R ChartMongoDB 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 MongoDB.

MongoDB 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 MongoDB.

MongoDB Daily Average True Range (ATR) ChartMongoDB 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 MongoDB.

MongoDB Daily On-Balance Volume (OBV) ChartMongoDB 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 MongoDB.

MongoDB Daily Money Flow Index (MFI) ChartMongoDB Daily Money Flow Index (MFI) Chart

6. Summary

6.1. Notifications

TypeNotificationDate
PenkeCurrently no notifications for MongoDB.

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
2023-12-01 00:00:00STOCH SHORT EXITThe %K line crosses above the %D line.
WILLR LONG ENTRY SHORT CLOSE-20 crossover to upside
ATR LONG ENTRY SHORT CLOSEPrice closed above (close + ATR).
2023-12-04 00:00:00RSI SHORT ENTRY LONG CLOSE70 crossover to downside
STOCH LONG EXITThe %K line crosses below the %D line.
2023-12-05 00:00:00STOCH SHORT EXITThe %K line crosses above the %D line.
WILLR LONG ENTRY SHORT CLOSE-20 crossover to upside
BB SHORT ENTRY LONG CLOSEPrice closed above the lower band.
2023-12-06 00:00:00SAR SHORT ENTRY LONG CLOSEThe price broke the SAR to the downside
RSI SHORT ENTRY LONG CLOSE70 crossover to downside
STOCH 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
ATR SHORT ENTRY LONG CLOSEPrice closed below (close - ATR).
2023-12-07 00:00:00MACD SHORT ENTRY LONG CLOSEThe MACD line crosses below the signal line.
2023-12-08 00:00:00DMI SHORT ENTRY LONG CLOSEThe +DI crossed the -DI to the downside. The trend is reversing to a down trend.
STOCH SHORT EXITThe %K line crosses above the %D line.
CCI SHORT ENTRY LONG CLOSE-100 crossover to downside
2023-12-11 00:00:00DMI LONG ENTRY SHORT CLOSEThe +DI crossed the -DI to the upside. The trend is reversing to an up trend.
ATR LONG ENTRY SHORT CLOSEPrice closed above (close + ATR).
2023-12-13 00:00:00CMO LONG ENTRY SHORT CLOSEZero line crossover to upside
2023-12-18 00:00:00STOCH LONG EXITThe %K line crosses below the %D line.
2023-12-19 00:00:00CMO SHORT ENTRY LONG CLOSEZero line crossover to downside
2023-12-21 00:00:00STOCH SHORT EXITThe %K line crosses above the %D line.
CMO LONG ENTRY SHORT CLOSEZero line crossover to upside
MFI SHORT ENTRY LONG CLOSE20 crossover to downside
2023-12-22 00:00:00STOCH LONG EXITThe %K line crosses below the %D line.
CMO SHORT ENTRY LONG CLOSEZero line crossover to downside
2023-12-27 00:00:00SAR LONG ENTRY SHORT CLOSEThe price broke the SAR to the upside.
STOCH SHORT EXITThe %K line crosses above the %D line.
CMO LONG ENTRY SHORT CLOSEZero line crossover to upside
2024-01-02 00:00:00DMI SHORT ENTRY LONG CLOSEThe +DI crossed the -DI to the downside. The trend is reversing to a down trend.
SAR 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
ATR SHORT ENTRY LONG CLOSEPrice closed below (close - ATR).
2024-01-03 00:00:00BB LONG ENTRY SHORT CLOSEPrice closed below the lower band.
2024-01-05 00:00:00STOCH SHORT EXITThe %K line crosses above the %D line.
2024-01-10 00:00:00CMO LONG ENTRY SHORT CLOSEZero line crossover to upside
ATR LONG ENTRY SHORT CLOSEPrice closed above (close + ATR).
2024-01-11 00:00:00DMI LONG ENTRY SHORT CLOSEThe +DI crossed the -DI to the upside. The trend is reversing to an up trend.
SAR LONG ENTRY SHORT CLOSEThe price broke the SAR to the upside.
2024-01-12 00:00:00STOCH LONG EXITThe %K line crosses below the %D line.
CMO SHORT ENTRY LONG CLOSEZero line crossover to downside
2024-01-16 00:00:00MACD LONG ENTRY SHORT CLOSEThe MACD line crosses above the signal line.
STOCH SHORT EXITThe %K line crosses above the %D line.
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).
2024-01-18 00:00:00STOCH LONG EXITThe %K line crosses below the %D line.
2024-01-19 00:00:00STOCH SHORT EXITThe %K line crosses above the %D line.
WILLR LONG ENTRY SHORT CLOSE-20 crossover to upside
2024-01-22 00:00:00CCI LONG ENTRY SHORT CLOSE100 crossover to upside
ATR LONG ENTRY SHORT CLOSEPrice closed above (close + ATR).
2024-01-23 00:00:00STOCH LONG EXITThe %K line crosses below the %D line.
2024-01-26 00:00:00CMO SHORT ENTRY LONG CLOSEZero line crossover to downside
2024-01-29 00:00:00STOCH SHORT EXITThe %K line crosses above the %D line.
CCI LONG ENTRY SHORT CLOSE100 crossover to 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).
2024-01-31 00:00:00STOCH LONG EXITThe %K line crosses below the %D line.
ATR SHORT ENTRY LONG CLOSEPrice closed below (close - ATR).
2024-02-02 00:00:00STOCH 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
BB SHORT ENTRY LONG CLOSEPrice closed above the lower band.
ATR LONG ENTRY SHORT CLOSEPrice closed above (close + ATR).
2024-02-05 00:00:00STOCH LONG EXITThe %K line crosses below the %D line.
2024-02-06 00:00:00WILLR LONG ENTRY SHORT CLOSE-20 crossover to upside
2024-02-07 00:00:00STOCH SHORT EXITThe %K line crosses above the %D line.
MFI LONG ENTRY SHORT CLOSE80 crossover to upside
2024-02-08 00:00:00ATR LONG ENTRY SHORT CLOSEPrice closed above (close + ATR).
2024-02-09 00:00:00ATR LONG ENTRY SHORT CLOSEPrice closed above (close + ATR).
2024-02-12 00:00:00STOCH LONG EXITThe %K line crosses below the %D line.
2024-02-13 00:00:00RSI SHORT ENTRY LONG CLOSE70 crossover to downside
2024-02-14 00:00:00STOCH SHORT EXITThe %K line crosses above the %D line.
WILLR LONG ENTRY SHORT CLOSE-20 crossover to upside
2024-02-15 00:00:00STOCH LONG EXITThe %K line crosses below the %D line.
2024-02-16 00:00:00SAR SHORT ENTRY LONG CLOSEThe price broke the SAR to the downside
2024-02-19 00:00:00MFI SHORT ENTRY LONG CLOSE80 crossover to downside
2024-02-20 00:00:00MACD SHORT ENTRY LONG CLOSEThe MACD line crosses below the signal line.
CMO SHORT ENTRY LONG CLOSEZero line crossover to downside
ATR SHORT ENTRY LONG CLOSEPrice closed below (close - ATR).
2024-02-21 00:00:00WILLR SHORT ENTRY LONG CLOSE-80 crossover to downside
ATR SHORT ENTRY LONG CLOSEPrice closed below (close - ATR).
2024-02-22 00:00:00ATR LONG ENTRY SHORT CLOSEPrice closed above (close + ATR).
2024-02-23 00:00:00STOCH SHORT EXITThe %K line crosses above the %D line.
CMO LONG ENTRY SHORT CLOSEZero line crossover to upside
2024-02-26 00:00:00CMO SHORT ENTRY LONG CLOSEZero line crossover to downside
2024-02-27 00:00:00STOCH LONG EXITThe %K line crosses below the %D line.
2024-02-28 00:00:00WILLR SHORT ENTRY LONG CLOSE-80 crossover to downside
2024-02-29 00:00:00DMI SHORT ENTRY LONG CLOSEThe +DI crossed the -DI to the downside. The trend is reversing to a down trend.
STOCH SHORT EXITThe %K line crosses above the %D line.
MFI SHORT ENTRY LONG CLOSE20 crossover to downside
2024-03-01 00:00:00STOCH LONG EXITThe %K line crosses below the %D line.
WILLR SHORT ENTRY LONG CLOSE-80 crossover to downside
2024-03-05 00:00:00CCI SHORT ENTRY LONG CLOSE-100 crossover to downside
WILLR SHORT ENTRY LONG CLOSE-80 crossover to downside
BB LONG ENTRY SHORT CLOSEPrice closed below the lower band.
ATR SHORT ENTRY LONG CLOSEPrice closed below (close - ATR).
2024-03-07 00:00:00STOCH SHORT EXITThe %K line crosses above the %D line.
2024-03-08 00:00:00BB LONG ENTRY SHORT CLOSEPrice closed below the lower band.
ATR SHORT ENTRY LONG CLOSEPrice closed below (close - ATR).
2024-03-11 00:00:00STOCH LONG EXITThe %K line crosses below the %D line.
2024-03-13 00:00:00RSI LONG ENTRY SHORT CLOSE30 crossover to upside
STOCH SHORT EXITThe %K line crosses above the %D line.
2024-03-14 00:00:00STOCH LONG EXITThe %K line crosses below the %D line.
2024-03-18 00:00:00STOCH SHORT EXITThe %K line crosses above the %D line.
2024-03-20 00:00:00RSI LONG ENTRY SHORT CLOSE30 crossover to upside
2024-03-22 00:00:00STOCH LONG EXITThe %K line crosses below the %D line.
2024-03-26 00:00:00STOCH SHORT EXITThe %K line crosses above the %D line.
2024-03-28 00:00:00MACD LONG ENTRY SHORT CLOSEThe MACD line crosses above the signal line.
SAR LONG ENTRY SHORT CLOSEThe price broke the SAR to the upside.
MFI LONG ENTRY SHORT CLOSE20 crossover to upside
2024-04-02 00:00:00STOCH LONG EXITThe %K line crosses below the %D line.
WILLR SHORT ENTRY LONG CLOSE-80 crossover to downside
2024-04-03 00:00:00SAR SHORT ENTRY LONG CLOSEThe price broke the SAR to the downside
CCI SHORT ENTRY LONG CLOSE-100 crossover to downside
2024-04-04 00:00:00RSI LONG ENTRY SHORT CLOSE30 crossover to upside
STOCH SHORT EXITThe %K line crosses above the %D line.
2024-04-05 00:00:00SAR LONG ENTRY SHORT CLOSEThe price broke the SAR to the upside.
WILLR LONG ENTRY SHORT CLOSE-20 crossover to upside
ATR LONG ENTRY SHORT CLOSEPrice closed above (close + ATR).
2024-04-09 00:00:00STOCH LONG EXITThe %K line crosses below the %D line.
2024-04-11 00:00:00STOCH SHORT EXITThe %K line crosses above the %D line.
2024-04-15 00:00:00STOCH LONG EXITThe %K line crosses below the %D line.
2024-04-16 00:00:00STOCH SHORT EXITThe %K line crosses above the %D line.
2024-04-17 00:00:00STOCH LONG EXITThe %K line crosses below the %D line.
2024-04-18 00:00:00SAR SHORT ENTRY LONG CLOSEThe price broke the SAR to the downside
CCI SHORT ENTRY LONG CLOSE-100 crossover to downside
WILLR SHORT ENTRY LONG CLOSE-80 crossover to downside
BB LONG ENTRY SHORT CLOSEPrice closed below the lower band.
2024-04-19 00:00:00MFI SHORT ENTRY LONG CLOSE20 crossover to downside
2024-04-22 00:00:00STOCH 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
2024-04-23 00:00:00DMI LONG ENTRY SHORT CLOSEThe +DI crossed the -DI to the upside. The trend is reversing to an up trend.
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
WILLR LONG ENTRY SHORT CLOSE-20 crossover to upside
BB SHORT ENTRY LONG CLOSEPrice closed above the lower band.
ATR LONG ENTRY SHORT CLOSEPrice closed above (close + ATR).

6.3. Candlestick Patterns

MongoDB Daily Candlestick Chart
DateCandlestick Pattern

6.4. Technical Score

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

Penke's Symbol Scanner

  
  
IndicatorConditionValue
OpenGreater thanClose344.450
Total0/1 (0.0%)
Penke

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