Datawalk Competitors

DAT Stock

47.90 1.90 4.13%

Datawalk SA competes with Banco Santander, UniCredit SpA, CEZ As, Polski Koncern, and Dino Polska; as well as few others. Analyzing Datawalk competition allows you to expand the diversification possibilities of your existing portfolios and to get a better perspective on locking in new positions. Investors sometimes prefer comparable analysis of Datawalk to its intrinsic valuation because they are able to contrast its competitors on a relative basis. Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in housing.

You can use the Comparative Equity Analysis module to analyze the advantages of investing in your portfolio's related equities across multiple sectors and thematic ideas. Please use the input box below to enter symbols for particular investments you would like to analyze. With the equity comparison module, you can estimate the relative effect of Datawalk competition on your existing holdings.

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Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Datawalk's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.

Datawalk Competition Correlation Matrix

Typically, diversification allows investors to combine positions across different asset classes to reduce overall portfolio risk. Correlation between Datawalk and its competitors represents the degree of relationship between the price movements of corresponding stocks. A correlation of about +1.0 implies that the price of Datawalk and its corresponding peer move in tandem. A correlation of -1.0 means that prices move in opposite directions. A correlation of close to zero suggests that the price movements of assets are uncorrelated; in other words, the historical price movement of Datawalk SA does not affect the price movement of the other competitor.

	SAN	UCG	CEZ	PKN	DNP	ALE	SPL	KGH	PCO	PEO
SAN		0.62	0.34	-0.51	0.34	-0.31	0.28	-0.02	-0.14	-0.04	SAN
UCG	0.62		0.21	-0.41	0.16	-0.11	0.16	0.12	-0.09	-0.04	UCG
CEZ	0.34	0.21		-0.81	0.7	-0.78	-0.23	-0.66	-0.71	-0.49	CEZ
PKN	-0.51	-0.41	-0.81		-0.67	0.7	0.09	0.63	0.67	0.38	PKN
DNP	0.34	0.16	0.7	-0.67		-0.85	-0.04	-0.64	-0.45	-0.27	DNP
ALE	-0.31	-0.11	-0.78	0.7	-0.85		0.37	0.71	0.61	0.63	ALE
SPL	0.28	0.16	-0.23	0.09	-0.04	0.37		0.12	0.18	0.83	SPL
KGH	-0.02	0.12	-0.66	0.63	-0.64	0.71	0.12		0.85	0.34	KGH
PCO	-0.14	-0.09	-0.71	0.67	-0.45	0.61	0.18	0.85		0.41	PCO
PEO	-0.04	-0.04	-0.49	0.38	-0.27	0.63	0.83	0.34	0.41		PEO
	SAN	UCG	CEZ	PKN	DNP	ALE	SPL	KGH	PCO	PEO

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High positive correlations

PCO	+ 0.85	KGH
PEO	+ 0.83	SPL
KGH	+ 0.71	ALE
DNP	+ 0.7	CEZ
ALE	+ 0.7	PKN
PCO	+ 0.67	PKN

High negative correlations

ALE	- 0.85	DNP
PKN	- 0.81	CEZ
ALE	- 0.78	CEZ
PCO	- 0.71	CEZ
DNP	- 0.67	PKN
KGH	- 0.66	CEZ

Risk-Adjusted Indicators

There is a big difference between Datawalk Stock performing well and Datawalk Company doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Datawalk's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.

	Mean Deviation	Jensen Alpha	Sortino Ratio	Treynor Ratio	Semi Deviation	Expected Shortfall	Potential Upside	Value @Risk	Maximum Drawdown
SAN	1.12	0.20	0.04	(0.37)	1.60	(1.09)	2.22	(2.38)	6.88
UCG	1.35	0.13	0.00	(0.17)	1.75	(1.80)	3.41	(4.30)	9.81
CEZ	1.19	0.15	0.06	0.59	1.30	(1.49)	2.82	(2.09)	11.82
PKN	1.30	(0.17)	0.00	0.61	0.00	0.00	2.39	(2.98)	10.33
DNP	1.91	0.39	0.18	1.09	1.53	(2.36)	5.03	(2.72)	16.97
ALE	1.59	(0.34)	0.00	(0.71)	0.00	0.00	2.66	(4.65)	15.02
SPL	1.37	0.06	(0.02)	(4.39)	1.87	(1.29)	3.71	(2.88)	11.50
KGH	1.63	0.03	0.00	0.05	0.00	0.00	3.84	(3.17)	14.11
PCO	1.74	0.03	(0.01)	0.17	2.12	(1.86)	3.43	(3.30)	14.00
PEO	1.57	(0.01)	(0.05)	(0.13)	1.89	(1.63)	3.31	(3.17)	11.43

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Datawalk Competitive Analysis

The better you understand Datawalk competitors, the better chance you have of utilizing it as a position in your portfolios. From an individual investor's perspective, Datawalk's competitive analysis can cover a whole range of metrics. Some of these will be more critical depending on who you are as an investor and how you react to market volatility. However, if you are locking your investment sandscape to a long-term horizon, comparing the fundamental indicator across Datawalk's competition over several years is one of the best ways to analyze its investment potential.

Better Than Average

Worse Than Peers

View Performance Chart

	DAT	SAN	UCG	CEZ	PKN	DNP	ALE	SPL	KGH	PCO
	4.13 47.90 Datawalk	0.60 20.12 Banco	0.61 165.66 UniCredit	1.19 162.00 CEZ	0.68 49.20 Polski	1.08 404.40 Dino	1.25 29.06 Allegroeu	0.44 474.30 Santander	0.16 127.00 KGHM	1.35 17.23 Pepco
Market Volatility (90 Days Market Risk)	Not too volatile	Very steady	Very steady	Very steady	Very steady	Very steady	Very steady	Very steady	Very steady	Not too volatile
Market Performance (90 Days Performance)	Insignificant	OK	Modest	OK	Very Weak	Good	Very Weak	Weak	Very Weak	Weak
Odds of Financial Distress (Probability Of Bankruptcy)	Unknown	Low	Low	Low	Low	Low	About Average	Low	Low	Low
Current Valuation (Equity Enterprise Value)	Over Valued	Over Valued	Over Valued	Fairly Valued	Over Valued	Under Valued	Fairly Valued	Over Valued	Over Valued	Over Valued
Buy or Sell Advice (Average Analysts Consensus)	Not Available	Not Available	Not Available	Not Available	Not Available	Not Available	Not Available	Not Available	Not Available	Not Available
Trade Advice (90 Days Macroaxis Advice)	Strong Sell	Strong Sell	Strong Sell	Hold	Strong Sell	Strong Buy	Sell	Strong Sell	Strong Sell	Strong Sell
Net Asset		1.73 T	857.8 B	1.18 T	106.75 B	7.17 B	16.87 B	244.88 B	48.03 B	4 B
Profit Margin		0.23	0.35	0.2	0.11	0.0578	-0.25	0.24	0.2	0.036
EBITDA		28.87 B	N/A	55.27 B	19.45 B	1.27 B	2.1 B	N/A	10.06 B	669.9 M
Operating Margin		0.37	0.42	N/A	0.12	0.0781	0.15	0.53	0.13	0.0594
Price To Book		0.51	0.4	4.78	0.84	9.63	3.1	1.01	0.8	4.52
Current Valuation		N/A	N/A	104.74 B	80.18 B	38.7 B	34.32 B	N/A	30.06 B	29.69 B
Beta		1.42	1.7	0.51	0.8	0.51	0.76	1.05	1.44	N/A
Number Of Employees		206.46 K	10	27.5 K	35.42 K	35.65 K	3.61 K	10	33.5 K	43.21 K
Shares Outstanding		16.76 B	1.94 B	536.79 M	1.16 B	98.04 M	1.06 B	102.82 M	200 M	575 M
Cash Flow From Operations		56.69 B	(7.52 B)	59.16 B	13.29 B	1.33 B	1.41 B	(3.9 B)	4.27 B	363.31 M
Annual Yield		0.0315	0.0284	0.0467	0.0551	N/A	N/A	0.0094	0.0224	N/A
Total Debt		280.34 B	N/A	95.92 B	13.74 B	1.03 B	5.36 B	N/A	4.9 B	546.2 M
Return On Equity		0.11	0.1	0.41	0.35	0.31	-0.21	0.11	0.23	0.16
Z Score		0.6	N/A	0.6	4.0	21.4	3.0	N/A	3.0	28.0
Return On Asset		0.0065	0.0073	0.0306	0.12	0.12	0.0402	0.0119	0.0564	0.0475
Book Value Per Share		5.38	28.9	N/A	137.23	39.52	8.39	277.11	161.03	1.99
Total Asset		1.73 T	857.8 B	1.18 T	106.75 B	7.17 B	16.87 B	244.88 B	48.03 B	4 B
Target Price		N/A	N/A	818.0	83.72	384.86	31.14	292.57	114.37	53.03
Last Dividend Paid		N/A	N/A	N/A	3.5	N/A	N/A	N/A	3.0	N/A
Shares Owned By Institutions		30.84	43.98	4.2	15.08	21.6	38.07	11.72	29.68	8.19
Market Capitalization		282.76 B	179.97 B	112.51 B	73.7 B	35.23 B	31.25 B	29.61 B	26.72 B	24.78 B
Price To Earnings To Growth		13.26	N/A	N/A	N/A	N/A	N/A	N/A	N/A	N/A
Price To Sales		5.21	8.16	1.2	0.34	2.06	3.49	2.5	0.73	1.09
Net Income		9.61 B	6.46 B	13.43 B	11.12 B	805.3 M	1.09 B	1.11 B	6.16 B	173.6 M
Earnings Per Share		2.56	15.82	21.28	40.1	10.28	0.63	20.45	33.3	1.39
Shares Owned By Insiders		0.53	8.58	69.7	16.8	51.16	33.16	67.4	31.79	78.88
Revenue		54.22 B	18.27 B	236.14 B	131.34 B	13.36 B	5.35 B	9.05 B	29.8 B	4.82 B
Gross Profit		41.27 B	18.27 B	102.01 B	20.55 B	3.32 B	2.42 B	11.49 B	6.57 B	1.97 B
Day Typical Price	46.5	20.12	170.44	161.63	49.25	406.77	28.95	472.73	127.27	17.03
Accumulation Distribution	0.11	0.0123	0.0797	0.0129	0.0135	0.0173	0.0236	0.0137	0.0202	0.0495
Market Facilitation Index	5.2	0.25	14.34	2.1	0.67	7.1	0.69	6.5	2.6	0.86
Daily Balance Of Power	0.3654	0.48	(0.07)	0.9048	0.4925	(0.62)	0.5217	0.3231	(0.08)	0.2674
Period Momentum Indicator	1.9	0.12	(1.02)	1.9	0.33	(4.40)	0.36	2.1	(0.20)	0.23
Rate Of Daily Change	1.04	1.01	0.99	1.01	1.01	0.99	1.01	1.0	1.0	1.01
Day Median Price	45.8	20.13	172.83	161.45	49.28	407.95	28.9	471.95	127.4	16.93
Price Action Indicator	3.05	0.055	(7.68)	1.5	0.09	(5.75)	0.34	3.4	(0.50)	0.42
Relative Strength Index	69.49	42.59	28.81	65.95	47.01	64.92	30.31	39.57	31.65	42.99
Coefficient Of Variation	4448.68	869.63	2052.13	973.69	(937.83)	640.85	(841.64)	2959.33	(8,116)	3590.19
Mean Deviation	3.09	1.12	1.35	1.19	1.3	1.91	1.59	1.37	1.63	1.74
Jensen Alpha	0.1356	0.2045	0.1313	0.1471	(0.17)	0.3911	(0.34)	0.0565	0.0336	0.0269
Total Risk Alpha	(0.53)	(0.02)	(0.16)	(0.05)	(0.41)	0.0788	(0.61)	(0.18)	(0.33)	(0.25)
Sortino Ratio	0.0041	0.0382	(0)	0.0566	N/A	0.1828	N/A	(0.02)	N/A	(0.01)
Downside Variance	11.65	3.78	4.91	2.18	N/A	3.38	N/A	3.83	N/A	4.85
Standard Deviation	5.08	1.52	1.97	1.79	1.74	2.8	2.46	1.93	2.31	2.46
Kurtosis	13.79	1.03	0.9649	4.87	1.45	8.18	7.12	2.21	2.87	4.65
Potential Upside	6.3	2.22	3.41	2.82	2.39	5.03	2.66	3.71	3.84	3.43
Treynor Ratio	(0.30)	(0.37)	(0.17)	0.5898	0.6142	1.09	(0.71)	(4.39)	0.0481	0.1669
Maximum Drawdown	34.35	6.88	9.81	11.82	10.33	16.97	15.02	11.5	14.11	14.0
Variance	25.76	2.3	3.87	3.2	3.02	7.82	6.05	3.74	5.34	6.04
Market Risk Adjusted Performance	(0.29)	(0.36)	(0.16)	0.5998	0.6242	1.1	(0.70)	(4.38)	0.0581	0.1769
Risk Adjusted Performance	0.0249	0.0886	0.0416	0.0804	(0.07)	0.1205	(0.08)	0.0307	(0)	0.0272
Skewness	2.76	(0.82)	(0.24)	1.19	(0.30)	2.03	(2.05)	0.6018	(0.68)	1.11
Semi Deviation	3.18	1.6	1.75	1.3	N/A	1.53	N/A	1.87	N/A	2.12
Information Ratio	0.0028	0.049	(0)	0.0467	(0.16)	0.1202	(0.16)	(0.02)	(0.06)	(0.01)
Value At Risk	(5.04)	(2.38)	(4.30)	(2.09)	(2.98)	(2.72)	(4.65)	(2.88)	(3.17)	(3.30)
Expected Short fall	(4.36)	(1.09)	(1.80)	(1.49)	N/A	(2.36)	N/A	(1.29)	N/A	(1.86)
Downside Deviation	3.41	1.95	2.22	1.48	N/A	1.84	N/A	1.96	N/A	2.2
Semi Variance	10.12	2.56	3.05	1.68	N/A	2.34	N/A	3.5	N/A	4.49

Datawalk Competition Performance Charts

Five steps to successful analysis of Datawalk Competition

Datawalk's competitive analysis is the process of researching and evaluating its competitive landscape. It provides an understanding of the strengths, weaknesses, opportunities, and threats (SWOT) faced by Datawalk SA in relation to its competition. Datawalk's competition analysis typically involves several steps, including:

Identifying the key players in the market: This involves identifying the major competitors of Datawalk in the market, both direct and indirect, as well as new entrants and disruptive technologies.
Assessing the strengths and weaknesses of each competitor: This involves evaluating each competitor's strengths and weaknesses in areas such as product offerings, market share, brand recognition, financial performance, and distribution channels.
Understanding the competitive environment: This involves evaluating the regulatory environment, economic conditions, and other factors that may impact Datawalk's competitive landscape.
Identifying opportunities and threats: This involves using the information gathered during the analysis to identify opportunities and threats to Datawalk SA, and developing a strategy to address them.
Evaluating the competitive landscape: This involves understanding the competitive dynamics of the market, such as pricing, marketing, and distribution strategies, as well as analyzing the competitive advantage of each competitor.

Competitive analysis is an essential tool for businesses to stay ahead of the competition and can be used to inform decision-making and strategy development. By understanding the competitive landscape and staying informed about the activities of competitors, a company can make more informed decisions and improve its overall performance.

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Additional Tools for Datawalk Stock Analysis

When running Datawalk's price analysis, check to measure Datawalk's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Datawalk is operating at the current time. Most of Datawalk's value examination focuses on studying past and present price action to predict the probability of Datawalk's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Datawalk's price. Additionally, you may evaluate how the addition of Datawalk to your portfolios can decrease your overall portfolio volatility.

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