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Datalex
Buy, Hold or Sell?

Let's analyse Datalex together

PenkeI guess you are interested in Datalex. 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 Datalex. 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 Datalex (30 sec.)










What can you expect buying and holding a share of Datalex? (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?
50.0%

What is your share worth?

Current worth
€-0.07
Expected worth in 1 year
€-0.35
How sure are you?
60.0%

+ What do you gain per year?

Total Gains per Share
€-0.29
Return On Investment
-59.7%

For what price can you sell your share?

Current Price per Share
€0.48
Expected price per share
€0.45 - €0.48
How sure are you?
50%

1. Valuation of Datalex (5 min.)




Live pricePrice per Share (EOD)

€0.48

Intrinsic Value Per Share

€-0.45 - €0.96

Total Value Per Share

€-0.52 - €0.89

2. Growth of Datalex (5 min.)




Is Datalex growing?

Current yearPrevious yearGrowGrow %
How rich?-$9.2m$892k-$10.1m-109.6%

How much money is Datalex making?

Current yearPrevious yearGrowGrow %
Making money-$11.4m-$4.8m-$6.5m-57.5%
Net Profit Margin-48.7%-19.1%--

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

3. Financial Health of Datalex (5 min.)




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

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

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

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

Speculation

The Price per Share of Datalex is €0.48. 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 Datalex.
  • 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 Datalex, 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 €-0.07. Based on the TTM, the Book Value Change Per Share is €-0.07 per quarter. Based on the YOY, the Book Value Change Per Share is €0.17 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 Datalex.

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-0.09-18.0%-0.09-18.0%-0.04-7.7%-0.12-25.8%-0.05-9.6%
Usd Book Value Change Per Share-0.08-16.0%-0.08-16.0%0.1938.6%-0.09-17.8%-0.03-6.3%
Usd Dividend Per Share0.000.0%0.000.0%0.000.0%0.011.2%0.012.2%
Usd Total Gains Per Share-0.08-16.0%-0.08-16.0%0.1938.6%-0.08-16.6%-0.02-4.1%
Usd Price Per Share0.58-0.58-1.02-1.12-1.84-
Price to Earnings Ratio-6.69--6.69--27.67--12.60-37.26-
Price-to-Total Gains Ratio-7.53--7.53-5.48--7.15-28.65-
Price to Book Ratio-8.25--8.25-151.18-19.35-13.85-
Price-to-Total Gains Ratio-7.53--7.53-5.48--7.15-28.65-

When do you get the money?

Usd Investment
$.00
Usd Price Per Share0.513552
Number of shares1947
Gains per QuarterTrailing 12 Months5 Year
Usd Dividend Per Share0.000.01
Usd Book Value Change Per Share-0.08-0.09
Usd Total Gains Per Share-0.08-0.08
Gains per Quarter (1947 shares)-149.36-154.91
Gains per Year (1947 shares)-597.42-619.63
YearsReturn on Investment (TTM)Return on Investment (5Y)
 DividendBook Value gainTotal gainsDividendBook Value gainTotal gains
Broker costs---10---10
10-597-60745-665-630
20-1195-120490-1329-1250
30-1792-1801135-1994-1870
40-2390-2398180-2659-2490
50-2987-2995225-3323-3110
60-3585-3592270-3988-3730
70-4182-4189315-4653-4350
80-4779-4786360-5317-4970
90-5377-5383405-5982-5590
100-5974-5980450-6647-6210

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 Share0.01.00.00.0%0.03.00.00.0%0.05.00.00.0%5.05.00.050.0%6.011.00.035.3%
Book Value Change Per Share0.01.00.00.0%1.02.00.033.3%1.04.00.020.0%6.04.00.060.0%8.09.00.047.1%
Dividend per Share0.00.01.00.0%0.00.03.00.0%1.00.04.020.0%5.00.05.050.0%5.00.012.029.4%
Total Gains per Share0.01.00.00.0%1.02.00.033.3%1.04.00.020.0%6.04.00.060.0%8.09.00.047.1%

Fundamentals of Datalex

About Datalex

Datalex plc develops and sells various distribution and retailing software products and solutions to the airline industry in Ireland, the Americas, the Asia Pacific, the United Kingdom, and rest of European countries. The company operates in two segments, E-Business and TPF Consulting. It offers Datalex Direct, a customer-centric digital commerce product for travel retailing through airlines' direct channels; Datalex Merchandiser that enables airlines to deploy intelligent merchandising strategies across channels and touchpoints, generates ancillary revenue, and optimizes traveler engagement at various point in their journey; Datalex NDC, which offers order management for indirect channel using NDC; and Datalex Dynamic, which creates and optimizes capabilities by allowing airlines to build customer centric, contextualized, and personalized offers for air and non-air products. The company also provides Datalex China Shopping and Pricing Engine, an air shopping and pricing solution for Chinese airlines; and Datalex Pricing AI, a real-time pricing product. In addition, it delivers professional and hosting services; and offers online payment processing connectivity services. Further, the company provides IT consultancy services to airlines; and develops and sells computer software. The company was founded in 1985 and is headquartered in Dublin, Ireland.

Fundamental data was last updated by Penke on 2024-04-21 04:32:05.

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.
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 unable 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 unable to pay all its debts by selling its assets.

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 expensive.

1.1. Profitability of Datalex.

1.1. Profitability
1.1.1. Net Profit Margin

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

  • Above 10% is considered healthy but always compare Datalex to the Software - Application industry mean.
  • A Net Profit Margin of -48.7% means that €-0.49 for each €1 in revenue is generated as profit.

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

  • The MRQ is -48.7%. The company is making a huge loss. -2
  • The TTM is -48.7%. The company is making a huge loss. -2
Trends
Current periodCompared to+/- 
MRQ-48.7%TTM-48.7%0.0%
TTM-48.7%YOY-19.1%-29.6%
TTM-48.7%5Y-44.5%-4.2%
5Y-44.5%10Y-18.2%-26.3%
1.1.2. Return on Assets

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

  • Above 5% is considered healthy but always compare Datalex to the Software - Application industry mean.
  • -73.0% Return on Assets means that Datalex generated €-0.73 profit for each $1 in assets.

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

  • The MRQ is -73.0%. Using its assets, the company is very inefficient in making profit. -2
  • The TTM is -73.0%. Using its assets, the company is very inefficient in making profit. -2
Trends
Current periodCompared to+/- 
MRQ-73.0%TTM-73.0%0.0%
TTM-73.0%YOY-23.0%-50.0%
TTM-73.0%5Y-64.1%-8.8%
5Y-64.1%10Y-28.4%-35.7%
1.1.3. Return on Equity

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

  • Above 15%-20% is considered healthy but always compare Datalex to the Software - Application industry mean.
  • 0.0% Return on Equity means Datalex generated €0.00 for each €1 the owners (shareholders) invested.

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

  • The MRQ is 0.0%. The data is not here.
Trends
Current periodCompared to+/- 
MRQ-TTM-0.0%
TTM-YOY-546.4%+546.4%
TTM-5Y-109.3%+109.3%
5Y-109.3%10Y-49.6%-59.7%

1.2. Operating Efficiency of Datalex.

1.2. Operating Efficiency
1.2.1. Operating Margin

Measures how efficient Datalex is operating .

  • Measures how much profit Datalex 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 Datalex to the Software - Application 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 Datalex:

  • The MRQ is 0.0%. The data is not here.
Trends
Current periodCompared to+/- 
MRQ-TTM-0.0%
TTM-YOY-1.8%+1.8%
TTM-5Y-27.4%+27.4%
5Y-27.4%10Y-9.8%-17.6%
1.2.2. Operating Ratio

Measures how efficient Datalex is keeping operating costs low.

  • Below 1 is considered healthy (always compare to Software - Application industry mean).
  • An Operation Ratio of 2.22 means that the operating costs are €2.22 for each €1 in net sales.

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

  • The MRQ is 2.220. The company is inefficient in keeping operating costs low. -1
  • The TTM is 2.220. The company is inefficient in keeping operating costs low. -1
Trends
Current periodCompared to+/- 
MRQ2.220TTM2.2200.000
TTM2.220YOY1.139+1.081
TTM2.2205Y1.414+0.807
5Y1.41410Y1.161+0.253

1.3. Liquidity of Datalex.

1.3. Liquidity
1.3.1. Current Ratio

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

  • Above 1.5 is considered healthy (always compare to Software - Application industry mean).
  • A Current Ratio of 0.53 means the company has €0.53 in assets for each €1 in short-term debts.

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

  • The MRQ is 0.535. The company is unable to pay all its short-term debts. -2
  • The TTM is 0.535. The company is unable to pay all its short-term debts. -2
Trends
Current periodCompared to+/- 
MRQ0.535TTM0.5350.000
TTM0.535YOY1.434-0.899
TTM0.5355Y0.666-0.131
5Y0.66610Y1.586-0.919
1.3.2. Quick Ratio

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

  • Above 1 is considered healthy but always compare Datalex to the Software - Application industry mean.
  • A Quick Ratio of 0.05 means the company can pay off €0.05 for each €1 in debt (using most liquid assets).

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

  • The MRQ is 0.049. The company is just not able to pay all its short-term debts with the most liquid assets. -1
  • The TTM is 0.049. The company is just not able to pay all its short-term debts with the most liquid assets. -1
Trends
Current periodCompared to+/- 
MRQ0.049TTM0.0490.000
TTM0.049YOY1.434-1.385
TTM0.0495Y0.550-0.501
5Y0.55010Y1.414-0.864

1.4. Solvency of Datalex.

1.3. Liquidity
1.4.1. Debt to Asset Ratio

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

  • Below 1 (100%) is considered healthy but always compare Datalex to Software - Application industry mean.
  • A Debt to Asset Ratio of 1.59 means that Datalex assets are financed with 159.1% credit (debt) and the remaining percentage (100% - 159.1%) is financed by its owners/shareholders. 

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

  • The MRQ is 1.591. The company is unable to pay all its debts by selling its assets. -2
  • The TTM is 1.591. The company is unable to pay all its debts by selling its assets. -2
Trends
Current periodCompared to+/- 
MRQ1.591TTM1.5910.000
TTM1.591YOY0.958+0.633
TTM1.5915Y1.545+0.046
5Y1.54510Y0.906+0.639
1.4.2. Debt to Equity Ratio

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

  • Below 2 is considered healthy but always compare Datalex to the Software - Application industry mean.
  • A Debt to Equity ratio of 0.0% means that company has €0.00 debt for each €1 in shareholders equity.

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

  • The MRQ is 0.000. The data is not here.
Trends
Current periodCompared to+/- 
MRQ-TTM-0.000
TTM-YOY22.784-22.784
TTM-5Y4.557-4.557
5Y4.55710Y2.463+2.094

2. Market Valuation of Datalex

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 Datalex generates.

  • Above 15 is considered overpriced but always compare Datalex to the Software - Application industry mean.
  • A PE ratio of -6.69 means the investor is paying €-6.69 for every €1 in earnings.

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

  • The EOD is -5.944. Based on the earnings, the company is expensive. -2
  • The MRQ is -6.687. Based on the earnings, the company is expensive. -2
  • The TTM is -6.687. Based on the earnings, the company is expensive. -2
Trends
Current periodCompared to+/- 
EOD-5.944MRQ-6.687+0.743
MRQ-6.687TTM-6.6870.000
TTM-6.687YOY-27.669+20.982
TTM-6.6875Y-12.598+5.911
5Y-12.59810Y37.256-49.854
2.2. Price To Free Cash Flow Ratio

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

  • The EOD is -11.508. Based on how much money comes from the company's main activities, the company is expensive. -2
  • The MRQ is -12.946. Based on how much money comes from the company's main activities, the company is expensive. -2
  • The TTM is -12.946. Based on how much money comes from the company's main activities, the company is expensive. -2
Trends
Current periodCompared to+/- 
EOD-11.508MRQ-12.946+1.438
MRQ-12.946TTM-12.9460.000
TTM-12.946YOY-63.582+50.635
TTM-12.9465Y-26.873+13.927
5Y-26.87310Y4.375-31.248
2. Book Value per Share
2.3. Price to Book Ratio

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

  • At or below 1 is considered healthy (always compare to Software - Application industry mean).
  • A PB ratio of -8.25 means the investor is paying €-8.25 for each €1 in book value.

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

  • The EOD is -7.338. Based on the equity, the company is expensive. -2
  • The MRQ is -8.255. Based on the equity, the company is expensive. -2
  • The TTM is -8.255. Based on the equity, the company is expensive. -2
Trends
Current periodCompared to+/- 
EOD-7.338MRQ-8.255+0.917
MRQ-8.255TTM-8.2550.000
TTM-8.255YOY151.185-159.440
TTM-8.2555Y19.355-27.610
5Y19.35510Y13.854+5.501
2. Total Gains per Share

3. Summary

3.1. Key Performance Indicators

The key performance indicators of Datalex 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---0.072-0.0720%0.173-141%-0.080+11%-0.028-60%
Book Value Per Share---0.065-0.0650%0.006-1141%-0.083+26%0.099-166%
Current Ratio--0.5350.5350%1.434-63%0.666-20%1.586-66%
Debt To Asset Ratio--1.5911.5910%0.958+66%1.545+3%0.906+76%
Debt To Equity Ratio----0%22.784-100%4.557-100%2.463-100%
Dividend Per Share----0%-0%0.005-100%0.010-100%
Eps---0.081-0.0810%-0.034-57%-0.116+43%-0.043-47%
Free Cash Flow Per Share---0.042-0.0420%-0.015-64%-0.036-13%-0.008-81%
Free Cash Flow To Equity Per Share---0.042-0.0420%0.039-207%-0.013-70%-0.004-89%
Gross Profit Margin--1.0001.0000%1.086-8%1.103-9%0.494+102%
Intrinsic Value_10Y_max--0.956--------
Intrinsic Value_10Y_min---0.452--------
Intrinsic Value_1Y_max--0.015--------
Intrinsic Value_1Y_min---0.039--------
Intrinsic Value_3Y_max--0.106--------
Intrinsic Value_3Y_min---0.123--------
Intrinsic Value_5Y_max--0.272--------
Intrinsic Value_5Y_min---0.213--------
Market Cap63688800.000-13%71649900.00071649900.0000%126050750.000-43%139321903.700-49%228766189.050-69%
Net Profit Margin---0.487-0.4870%-0.191-61%-0.445-9%-0.182-63%
Operating Margin----0%-0.0180%-0.2740%-0.0980%
Operating Ratio--2.2202.2200%1.139+95%1.414+57%1.161+91%
Pb Ratio-7.338+11%-8.255-8.2550%151.185-105%19.355-143%13.854-160%
Pe Ratio-5.944+11%-6.687-6.6870%-27.669+314%-12.598+88%37.256-118%
Price Per Share0.480-13%0.5400.5400%0.950-43%1.050-49%1.724-69%
Price To Free Cash Flow Ratio-11.508+11%-12.946-12.9460%-63.582+391%-26.873+108%4.375-396%
Price To Total Gains Ratio-6.695+11%-7.531-7.5310%5.484-237%-7.154-5%28.650-126%
Quick Ratio--0.0490.0490%1.434-97%0.550-91%1.414-97%
Return On Assets---0.730-0.7300%-0.230-69%-0.641-12%-0.284-61%
Return On Equity----0%-5.4640%-1.0930%-0.4960%
Total Gains Per Share---0.072-0.0720%0.173-141%-0.074+4%-0.018-74%
Usd Book Value---9286329.932-9286329.9320%892031.693-1141%-11718416.341+26%14060999.570-166%
Usd Book Value Change Per Share---0.077-0.0770%0.185-141%-0.085+11%-0.030-60%
Usd Book Value Per Share---0.070-0.0700%0.007-1141%-0.088+26%0.106-166%
Usd Dividend Per Share----0%-0%0.006-100%0.011-100%
Usd Eps---0.086-0.0860%-0.037-57%-0.124+43%-0.046-47%
Usd Free Cash Flow---5921210.373-5921210.3730%-2121075.359-64%-5129782.255-13%-1095538.923-81%
Usd Free Cash Flow Per Share---0.045-0.0450%-0.016-64%-0.039-13%-0.008-81%
Usd Free Cash Flow To Equity Per Share---0.045-0.0450%0.042-207%-0.013-70%-0.005-89%
Usd Market Cap68140647.120-13%76658228.01076658228.0100%134861697.425-43%149060504.769-49%244756945.665-69%
Usd Price Per Share0.514-13%0.5780.5780%1.016-43%1.123-49%1.845-69%
Usd Profit---11464407.316-11464407.3160%-4874173.173-57%-16422383.467+43%-6116617.316-47%
Usd Revenue--23537836.27023537836.2700%25473905.056-8%33465989.004-30%41262065.989-43%
Usd Total Gains Per Share---0.077-0.0770%0.185-141%-0.080+4%-0.020-74%
 EOD+2 -6MRQTTM+0 -0YOY+3 -295Y+13 -2110Y+6 -28

3.2. Fundamental Score

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

Penke's Stock Scanner

  
  
IndicatorConditionValue
Price to Earnings Ratio (EOD)Between0-15-5.944
Price to Book Ratio (EOD)Between0-1-7.338
Net Profit Margin (MRQ)Greater than0-0.487
Operating Margin (MRQ)Greater than00.000
Quick Ratio (MRQ)Greater than10.049
Current Ratio (MRQ)Greater than10.535
Debt to Asset Ratio (MRQ)Less than11.591
Debt to Equity Ratio (MRQ)Less than10.000
Return on Equity (MRQ)Greater than0.150.000
Return on Assets (MRQ)Greater than0.05-0.730
Total1/10 (10.0%)

3.3. Technical Score

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

Penke's Symbol Scanner

  
  
IndicatorConditionValue
RsiGreater than5047.385
Ma 20Greater thanMa 500.474
Ma 50Greater thanMa 1000.513
Ma 100Greater thanMa 2000.549
OpenGreater thanClose0.470
Total0/5 (0.0%)



Latest Balance Sheet

Balance Sheet of 2022-12-31. Currency in USD. All numbers in thousands.

Summary
Total Assets15,710
Total Liabilities24,996
Total Stockholder Equity-9,286
 As reported
Total Liabilities 24,996
Total Stockholder Equity+ -9,286
Total Assets = 15,710

Assets

Total Assets15,710
Total Current Assets9,790
Long-term Assets5,920
Total Current Assets
Cash And Cash Equivalents 6,536
Net Receivables 889
Total Current Assets  (as reported)9,790
Total Current Assets  (calculated)7,425
+/- 2,365
Long-term Assets
Property Plant Equipment 790
Intangible Assets 4,891
Long-term Assets  (as reported)5,920
Long-term Assets  (calculated)5,681
+/- 239

Liabilities & Shareholders' Equity

Total Current Liabilities18,306
Long-term Liabilities6,690
Total Stockholder Equity-9,286
Total Current Liabilities
Short Long Term Debt 5,940
Accounts payable 3,650
Total Current Liabilities  (as reported)18,306
Total Current Liabilities  (calculated)9,590
+/- 8,716
Long-term Liabilities
Long term Debt 481
Capital Lease Obligations Min Short Term Debt6,421
Long-term Liabilities  (as reported)6,690
Long-term Liabilities  (calculated)6,902
+/- 212
Total Stockholder Equity
Total Stockholder Equity (as reported)-9,286
Total Stockholder Equity (calculated)0
+/- 9,286
Other
Capital Stock13,529
Common Stock Shares Outstanding 132,677
Net Invested Capital -2,865
Net Working Capital -8,516
Property Plant and Equipment Gross 3,944



Balance Sheet

Currency in USD. All numbers in thousands.

 Trend2022-12-312021-12-312020-12-312019-12-312018-12-312017-12-312016-12-312015-12-312014-12-312013-12-312012-12-312011-12-312010-12-312009-12-312008-12-312007-12-312000-12-31
> Total Assets 
182,552
48,106
45,919
39,754
37,824
36,806
39,025
42,615
46,683
52,039
63,331
70,165
33,709
22,559
20,816
21,215
15,710
15,71021,21520,81622,55933,70970,16563,33152,03946,68342,61539,02536,80637,82439,75445,91948,106182,552
   > Total Current Assets 
103,928
32,781
26,544
20,760
20,962
20,887
22,690
27,704
29,637
33,410
39,473
35,358
18,692
12,859
10,367
12,924
9,790
9,79012,92410,36712,85918,69235,35839,47333,41029,63727,70422,69020,88720,96220,76026,54432,781103,928
       Cash And Cash Equivalents 
83,987
19,206
14,816
10,458
11,108
12,537
14,628
16,878
18,341
17,231
24,320
16,153
8,380
3,051
3,025
8,251
6,536
6,5368,2513,0253,0518,38016,15324,32017,23118,34116,87814,62812,53711,10810,45814,81619,20683,987
       Short-term Investments 
0
0
0
0
0
0
0
0
0
4,577
0
0
0
0
0
0
0
00000004,577000000000
       Net Receivables 
13,512
0
0
0
0
0
0
0
10,612
10,836
14,323
18,238
8,213
9,277
7,011
4,673
889
8894,6737,0119,2778,21318,23814,32310,83610,612000000013,512
       Inventory 
100
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0000000000000000100
       Other Current Assets 
6,329
13,575
11,728
10,302
9,854
8,350
8,062
10,826
11,296
11,602
15,153
19,205
10,312
9,808
7,342
4,673
0
04,6737,3429,80810,31219,20515,15311,60211,29610,8268,0628,3509,85410,30211,72813,5756,329
   > Long-term Assets 
0
15,325
19,375
18,994
16,862
15,919
16,335
14,911
17,046
18,629
23,858
34,807
15,017
9,700
10,449
8,291
5,920
5,9208,29110,4499,70015,01734,80723,85818,62917,04614,91116,33515,91916,86218,99419,37515,3250
       Property Plant Equipment 
8,749
1,157
789
549
638
1,184
1,674
1,403
1,706
1,461
2,275
2,286
2,536
6,866
5,123
1,436
790
7901,4365,1236,8662,5362,2862,2751,4611,7061,4031,6741,1846385497891,1578,749
       Goodwill 
64,400
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
000000000000000064,400
       Long Term Investments 
10,510
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
000000000000000010,510
       Intangible Assets 
15,763
14,168
18,586
18,445
16,224
14,735
13,821
12,442
13,954
15,437
19,178
26,630
140
228
1,798
3,669
4,891
4,8913,6691,79822814026,63019,17815,43713,95412,44213,82114,73516,22418,44518,58614,16815,763
       Other Assets 
0
0
0
0
0
0
0
0
1,386
1,731
2,405
5,891
12,341
2,606
3,528
3,186
0
03,1863,5282,60612,3415,8912,4051,7311,38600000000
> Total Liabilities 
23,397
6,677
5,799
4,768
4,803
7,636
8,038
8,698
11,143
12,473
20,492
22,832
43,084
39,682
44,514
20,323
24,996
24,99620,32344,51439,68243,08422,83220,49212,47311,1438,6988,0387,6364,8034,7685,7996,67723,397
   > Total Current Liabilities 
22,432
6,677
5,799
4,768
4,557
7,098
7,525
8,362
10,412
12,296
19,595
21,636
30,426
29,396
33,404
9,014
18,306
18,3069,01433,40429,39630,42621,63619,59512,29610,4128,3627,5257,0984,5574,7685,7996,67722,432
       Short-term Debt 
7,975
0
0
0
122
430
708
555
913
751
336
334
366
13,376
17,009
891
0
089117,00913,3763663343367519135557084301220007,975
       Short Long Term Debt 
7,975
0
0
0
0
0
0
0
0
0
0
0
0
12,421
15,733
891
5,940
5,94089115,73312,4210000000000007,975
       Accounts payable 
9,526
6,677
5,799
4,593
4,345
6,588
2,624
2,966
2,483
2,176
6,964
7,067
7,431
7,216
4,220
632
3,650
3,6506324,2207,2167,4317,0676,9642,1762,4832,9662,6246,5884,3454,5935,7996,6779,526
       Other Current Liabilities 
4,931
0
0
175
90
80
4,193
4,841
7,016
9,369
12,295
14,235
22,629
8,804
12,175
7,491
0
07,49112,1758,80422,62914,23512,2959,3697,0164,8414,1938090175004,931
   > Long-term Liabilities 
0
0
0
0
246
538
513
336
731
177
897
1,196
12,658
10,286
11,110
11,309
6,690
6,69011,30911,11010,28612,6581,1968971777313365135382460000
       Other Liabilities 
0
0
0
0
0
0
0
0
0
0
439
922
11,763
4,799
6,292
10,414
0
010,4146,2924,79911,7639224390000000000
       Deferred Long Term Liability 
0
0
0
0
0
0
0
0
0
0
0
0
11,656
2,351
2,863
2,867
0
02,8672,8632,35111,656000000000000
> Total Stockholder Equity
159,155
41,429
40,120
34,986
33,021
29,170
30,987
33,917
35,540
39,566
42,839
47,333
-9,375
-17,123
-23,698
892
-9,286
-9,286892-23,698-17,123-9,37547,33342,83939,56635,54033,91730,98729,17033,02134,98640,12041,429159,155
   Common Stock
6,527
7,165
7,165
7,165
7,165
7,171
7,484
7,675
7,722
7,797
7,858
7,955
8,072
8,460
8,477
13,477
0
013,4778,4778,4608,0727,9557,8587,7977,7227,6757,4847,1717,1657,1657,1657,1656,527
   Retained Earnings Total Equity00000000000000000
   Accumulated Other Comprehensive Income 00000000000000000
   Capital Surplus 00000000000000000
   Treasury Stock00000000000000000
   Other Stockholders Equity 
-4,280
187,850
188,049
187,740
187,922
188,010
1,624
2,763
3,121
5,107
5,888
7,000
7,783
11,892
11,777
37,604
0
037,60411,77711,8927,7837,0005,8885,1073,1212,7631,624188,010187,922187,740188,049187,850-4,280



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, 2022-12-31)

Gross Profit (+$)
totalRevenue23,537
Cost of Revenue-17,136
Gross Profit6,4016,401
 
Operating Income (+$)
Gross Profit6,401
Operating Expense-35,121
Operating Income-11,584-28,720
 
Operating Expense (+$)
Research Development-
Selling General Administrative17,985
Selling And Marketing Expenses-
Operating Expense35,12117,985
 
Net Interest Income (+$)
Interest Income-
Interest Expense-367
Other Finance Cost-0
Net Interest Income-367
 
Pretax Income (+$)
Operating Income-11,584
Net Interest Income-367
Other Non-Operating Income Expenses-
Income Before Tax (EBT)-11,404-11,584
EBIT - interestExpense = -367
-11,464
-11,097
Interest Expense367
Earnings Before Interest and Taxes (EBIT)--11,037
Earnings Before Interest and Taxes (EBITDA)-9,108
 
After tax Income (+$)
Income Before Tax-11,404
Tax Provision-60
Net Income From Continuing Ops-11,464-11,464
Net Income-11,464
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-367
 

Technical Analysis of Datalex
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 Datalex. The general trend of Datalex is BEARISH with 85.7% 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 Datalex'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 (-85.7%) Bearish trend (85.7%)
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 Datalex.

The long score for the Support & Resistance is 0/1.
The longshort score for the Support & Resistance is -1/(-1 +1).

  • Around resistance: The price is trading arround resistance levels. This can be considered as a potential exit level. -1

The bullish price targets are: 0.48 < 0.48 < 0.48.

The bearish price targets are: 0.45 > 0.45.

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Datalex 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 Datalex. The current mas is .

The long score for the Moving Averages is 1/14.
The longshort score for the Moving Averages is -12/(-14 +14).

  • MA 20 trending down: The MA 20 is trending down. -1
  • Close > MA 20: The price is above the MA 20. +1
  • MA 20 < MA 50: The MA 20 is lower than the MA 50. -1
  • MA 20 < MA 100: The MA 20 is lower than the MA 100. -1
  • MA 20 < MA 200: The MA 20 is lower than the MA 200. -1
  • MA 50 trending down: The MA 50 is trending down. -1
  • Close < MA 50: The price is below the MA 50. -1
  • MA 50 < MA 100: The MA 50 is lower than the MA 100. -1
  • MA 50 < MA 200: The MA 50 is lower than the MA 200. -1
  • MA 100 trending down: The MA 100 is trending down. -1
  • Close < MA 100: The price is below the MA 100. -1
  • MA 100 < MA 200: The MA 100 is lower than the MA 200. -1
  • MA 200 trending down: The MA 200 is trending down. -1
  • Close < MA 200: The price is below 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

Datalex 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 Datalex. The current macd is -0.01209369.

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 Datalex price going up in the near term. +2
  • MACD < 0: The MACD is below the zero line (centerline), it indicates a bearish signal for Datalex. This means that the short-term moving average is lower than the long-term moving average, signaling negative momentum and suggesting a higher likelihood of the Datalex price continuing to fall in the near future. It indicates that sellers are gaining control, and there is negativism in the market, leading to potential price decreases. -1
  • Trending up: The MACD line is trending up. This indicates that the short-term moving average is rising faster than the long-term moving average, suggesting positive momentum in the market. This signals that buyers are becoming more active and confident, leading to potential price increases as traders anticipate further gains and are willing to buy at higher prices. +1
Datalex Daily Moving Average Convergence/Divergence (MACD) ChartDatalex 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 Datalex. The current adx is 54.55.

The long score for the Directional Movement Index (DMI) is 0/7.
The longshort score for the Directional Movement Index (DMI) is -3/(-7 +7).

  • PLUS_ID < MINUS_DI: The +DI line is below the -DI line. This indicates a bearish signal in the market, as the negative directional movement is currently stronger than the positive directional movement, showing that sellers have the upper hand. Market psychology suggests that traders are pessimistic, expecting further price decreases, and are more willing to sell Datalex shares, leading to potential downward momentum in its price. -1
  • PLUS_ID < MINUS_DI && ADX > 25 && ADX trending down: The ADX is above 25 and indicates a strong bearish trend. The ADX is declining, the bearish trend is weakening. Could be a potential reversal to the upside. -2
Datalex 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 Datalex. The current sar is 0.45.

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
Datalex 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 Datalex. The current rsi is 47.39. The current phase is Continuation in bear market.

The long score for the Relative Strength Index (RSI) is 0/13.
The longshort score for the Relative Strength Index (RSI) is -3/(-13 +13).

  • Continuation in bear market: Downtrend continues after a consolidation or pullback. Hold or add to short positions.
Datalex Daily Relative Strength Index (RSI) ChartDatalex 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 Datalex. The current phase is Overbought in bear market.

The long score for the Stochastic Oscillator is 5/6.
The longshort score for the Stochastic Oscillator is 4/(-6 +6).

  • STOCH > 50: The STOCH %K is above 50. There are more buyers than sellers. +1
  • STOCH > 80: The STOCH %K is above 80 and overbought. +2
  • STOCH %K line > STOCH %D line: The STOCH %K line is above the STOCH %D 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 Datalex price going up in the near term. +2
  • Trending down: The STOCH %K is trending down. -1
Datalex Daily Stochastic Oscillator ChartDatalex 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 Datalex. The current cci is 35.73.

Datalex Daily Commodity Channel Index (CCI) ChartDatalex 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 Datalex. The current cmo is 5.49623207.

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
Datalex Daily Chande Momentum Oscillator (CMO) ChartDatalex 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 Datalex. The current willr is 0.

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

  • WILLR > -20: The Williams %R is above -20. This indicates that the price is in overbought territory, suggesting a potential price correction or trend reversal to the downside. +1
Datalex Daily Williams %R ChartDatalex 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 Datalex.

Datalex 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 Datalex. The current atr is 0.01441444.

Datalex Daily Average True Range (ATR) ChartDatalex 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 Datalex. The current obv is -1,851,272.

Datalex Daily On-Balance Volume (OBV) ChartDatalex 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 Datalex. The current mfi is 28.93.

The long score for the Money Flow Index (MFI) is 0/2.
The longshort score for the Money Flow Index (MFI) is -1/(-2 +2).

  • MFI < 50: -1
Datalex Daily Money Flow Index (MFI) ChartDatalex Daily Money Flow Index (MFI) Chart

6. Summary

6.1. Notifications

TypeNotificationDate
PenkeCurrently no notifications for Datalex.

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
2023-12-05WILLR LONG ENTRY SHORT CLOSE-20 crossover to upside
2023-12-07SAR LONG ENTRY SHORT CLOSEThe price broke the SAR to the upside.
STOCH 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
2023-12-08MFI SHORT ENTRY LONG CLOSE80 crossover to downside
2023-12-13DMI LONG ENTRY SHORT CLOSEThe +DI crossed the -DI to the upside. The trend is reversing to an up trend.
BB SHORT ENTRY LONG CLOSEPrice closed above the lower band.
ATR LONG ENTRY SHORT CLOSEPrice closed above (close + ATR).
2023-12-14STOCH LONG EXITThe %K line crosses below the %D line.
2023-12-19DMI SHORT ENTRY LONG CLOSEThe +DI crossed the -DI to the downside. The trend is reversing to a down trend.
RSI SHORT ENTRY LONG CLOSE70 crossover to downside
ATR SHORT ENTRY LONG CLOSEPrice closed below (close - ATR).
2023-12-20STOCH SHORT EXITThe %K line crosses above the %D line.
2023-12-22STOCH LONG EXITThe %K line crosses below the %D line.
2023-12-29MACD SHORT ENTRY LONG CLOSEThe MACD line crosses below the signal line.
2024-01-03SAR SHORT ENTRY LONG CLOSEThe price broke the SAR to the downside
CMO SHORT ENTRY LONG CLOSEZero line crossover to downside
2024-01-05STOCH SHORT EXITThe %K line crosses above the %D line.
2024-01-09STOCH LONG EXITThe %K line crosses below the %D line.
CCI SHORT ENTRY LONG CLOSE-100 crossover to downside
2024-01-11STOCH SHORT EXITThe %K line crosses above the %D line.
CCI SHORT ENTRY LONG CLOSE-100 crossover to downside
2024-01-12STOCH LONG EXITThe %K line crosses below the %D line.
MFI SHORT ENTRY LONG CLOSE20 crossover to downside
2024-01-16CCI SHORT ENTRY LONG CLOSE-100 crossover to downside
2024-01-24STOCH LONG EXITThe %K line crosses below the %D line.
2024-01-26WILLR LONG ENTRY SHORT CLOSE-20 crossover to upside
2024-01-30CMO LONG ENTRY SHORT CLOSEZero line crossover to upside
2024-01-31MACD LONG ENTRY SHORT CLOSEThe MACD line crosses above the signal line.
2024-02-01MACD SHORT ENTRY LONG CLOSEThe MACD line crosses below the signal line.
STOCH 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).
2024-02-02CCI SHORT ENTRY LONG CLOSE-100 crossover to downside
2024-02-05WILLR SHORT ENTRY LONG CLOSE-80 crossover to downside
2024-02-07CCI SHORT ENTRY LONG CLOSE-100 crossover to downside
BB LONG ENTRY SHORT CLOSEPrice closed below the lower band.
ATR SHORT ENTRY LONG CLOSEPrice closed below (close - ATR).
MFI SHORT ENTRY LONG CLOSE20 crossover to downside
2024-02-08RSI LONG ENTRY SHORT CLOSE30 crossover to upside
ATR LONG ENTRY SHORT CLOSEPrice closed above (close + ATR).
MFI LONG ENTRY SHORT CLOSE20 crossover to upside
2024-02-12STOCH LONG EXITThe %K line crosses below the %D line.
2024-02-13CCI SHORT ENTRY LONG CLOSE-100 crossover to downside
BB LONG ENTRY SHORT CLOSEPrice closed below the lower band.
ATR SHORT ENTRY LONG CLOSEPrice closed below (close - ATR).
2024-02-22CCI SHORT ENTRY LONG CLOSE-100 crossover to downside
2024-02-26MACD 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).
2024-02-28STOCH 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).
2024-02-29STOCH 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).
2024-03-01MFI SHORT ENTRY LONG CLOSE20 crossover to downside
2024-03-04STOCH LONG EXITThe %K line crosses below the %D line.
2024-03-05CCI SHORT ENTRY LONG CLOSE-100 crossover to downside
CMO SHORT ENTRY LONG CLOSEZero line crossover to downside
ATR SHORT ENTRY LONG CLOSEPrice closed below (close - ATR).
2024-03-06MACD SHORT ENTRY LONG CLOSEThe MACD line crosses below the signal line.
2024-03-07STOCH SHORT EXITThe %K line crosses above the %D line.
2024-03-08STOCH LONG EXITThe %K line crosses below the %D line.
2024-03-11CCI SHORT ENTRY LONG CLOSE-100 crossover to downside
MFI LONG ENTRY SHORT CLOSE20 crossover to upside
2024-03-12STOCH SHORT EXITThe %K line crosses above the %D line.
2024-03-13STOCH LONG EXITThe %K line crosses below the %D line.
2024-03-19WILLR SHORT ENTRY LONG CLOSE-80 crossover to downside
2024-03-21SAR SHORT ENTRY LONG CLOSEThe price broke the SAR to the downside
CCI SHORT ENTRY LONG CLOSE-100 crossover to downside
2024-03-22MFI SHORT ENTRY LONG CLOSE20 crossover to downside
2024-03-25MFI LONG ENTRY SHORT CLOSE20 crossover to upside
2024-03-26CCI SHORT ENTRY LONG CLOSE-100 crossover to downside
ATR SHORT ENTRY LONG CLOSEPrice closed below (close - ATR).
2024-04-02STOCH LONG EXITThe %K line crosses below the %D line.
WILLR SHORT ENTRY LONG CLOSE-80 crossover to downside
ATR SHORT ENTRY LONG CLOSEPrice closed below (close - ATR).
2024-04-03MFI SHORT ENTRY LONG CLOSE20 crossover to downside
2024-04-04RSI LONG ENTRY SHORT CLOSE30 crossover to upside
STOCH SHORT EXITThe %K line crosses above the %D line.
ATR LONG ENTRY SHORT CLOSEPrice closed above (close + ATR).
2024-04-08STOCH LONG EXITThe %K line crosses below the %D line.
CCI SHORT ENTRY LONG CLOSE-100 crossover to downside
2024-04-10STOCH SHORT EXITThe %K line crosses above the %D line.
2024-04-11STOCH LONG EXITThe %K line crosses below the %D line.
WILLR SHORT ENTRY LONG CLOSE-80 crossover to downside
2024-04-15MACD LONG ENTRY SHORT CLOSEThe MACD line crosses above the signal line.
STOCH SHORT EXITThe %K line crosses above the %D line.
MFI LONG ENTRY SHORT CLOSE20 crossover to upside
2024-04-16MFI SHORT ENTRY LONG CLOSE20 crossover to downside
2024-04-19STOCH LONG EXITThe %K line crosses below the %D line.
2024-04-22MFI LONG ENTRY SHORT CLOSE20 crossover to upside
2024-04-23CCI 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).
2024-04-24MACD SHORT ENTRY LONG CLOSEThe MACD line crosses below the signal line.
2024-04-25MACD 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).
2024-04-26SAR LONG ENTRY SHORT CLOSEThe price broke the SAR to the upside.

6.3. Candlestick Patterns

Datalex Daily Candlestick Chart
DateCandlestick Pattern

6.4. Technical Score

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

Penke's Symbol Scanner

  
  
IndicatorConditionValue
RsiGreater than5047.385
Ma 20Greater thanMa 500.474
Ma 50Greater thanMa 1000.513
Ma 100Greater thanMa 2000.549
OpenGreater thanClose0.470
Total0/5 (0.0%)
Penke

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