Artificial Competitors

Pink Sheets . USA . 
Stock . Artificial Intelligence Technology
AITX Stock  USD 0  0.0002  7.14%   
Artificial Intelligence competes with Rigetti Computing, Quantum Computing, IONQ, Desktop Metal, and Quantum; as well as few others. The company conducts business under Technology sector and is part of Computer Hardware industry. Analyzing Artificial Intelligence 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 Artificial Intelligence to its intrinsic valuation because they are able to contrast its competitors on a relative basis. Check out Artificial Intelligence Correlation with its peers.
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 Artificial Intelligence 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 Artificial Intelligence'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.
Hype
Prediction
LowEstimatedHigh
0.0008.58
Details
Intrinsic
Valuation
LowRealHigh
0.0008.58
Details
Naive
Forecast
LowNextHigh
0.00005908.58
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
000
Details

Artificial Intelligence Competition Correlation Matrix

Typically, diversification allows investors to combine positions across different asset classes to reduce overall portfolio risk. Correlation between Artificial Intelligence and its competitors represents the degree of relationship between the price movements of corresponding pink sheets. A correlation of about +1.0 implies that the price of Artificial 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 Artificial Intelligence does not affect the price movement of the other competitor.
Click cells to compare fundamentals   Check Volatility   Backtest Portfolio
High positive correlations   
QBTS
+ 0.96
QUBT
CAN
+ 0.91
IONQ
QBTS
+ 0.89
RGTI
IONQ
+ 0.88
RGTI
CAN
+ 0.88
QBTS
QBTS
+ 0.87
IONQ
  
High negative correlations   
QBTS
- 0.44
DM
DM
- 0.43
QUBT
CAN
- 0.42
DM
SSYS
- 0.4
DM
DM
- 0.3
IONQ
DM
- 0.29
RGTI

Risk-Adjusted Indicators

There is a big difference between Artificial Pink Sheet performing well and Artificial Intelligence 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 Artificial Intelligence'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 DeviationJensen AlphaSortino RatioTreynor RatioSemi DeviationExpected ShortfallPotential UpsideValue @RiskMaximum Drawdown
RGTI  6.59  1.16  0.26  0.37  5.28 
(8.88)
 17.57 
(8.82)
 31.98 
QUBT  10.60  4.30  0.53  1.56  6.71 
(14.81)
 29.35 
(10.40)
 122.30 
IONQ  5.74  2.13  0.43  1.01  4.08 
(6.89)
 16.30 
(6.53)
 47.83 
DM  1.74 (0.10) 0.00  1.80  0.00 
 0.00 
 2.86 
(4.44)
 23.02 
QMCO  11.25  2.81  0.40  0.41  7.21 
(13.07)
 19.76 
(10.51)
 51.59 
QBTS  6.20  1.37  0.35  0.45  4.22 
(9.10)
 15.58 
(6.93)
 50.10 
SSYS  3.00  0.15  0.08  0.20  3.02 
(3.56)
 9.26 
(4.95)
 25.45 
DDD  4.27  0.20  0.09  0.19  4.77 
(5.12)
 11.73 
(6.21)
 31.04 
HPQ  1.31  0.03  0.02  0.15  1.62 
(1.30)
 2.22 
(2.63)
 6.13 
CAN  5.91  0.67  0.16  0.30  5.83 
(7.22)
 13.04 
(9.01)
 49.75 
All Fundamental Data

Artificial Intelligence Competitive Analysis

The better you understand Artificial Intelligence competitors, the better chance you have of utilizing it as a position in your portfolios. From an individual investor's perspective, Artificial Intelligence'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 Artificial Intelligence'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
AITX RGTI QUBT IONQ DM QMCO QBTS SSYS DDD HPQ
 7.14 
 0 
Artificial
 9.09 
 2.40 
Rigetti
 1.50 
 6.75 
Quantum
 5.09 
 32.21 
IONQ
 0.98 
 4.14 
Desktop
 3.66 
 17.86 
Quantum
 1.48 
 2.74 
QBTS
 0.21 
 9.55 
Stratasys
 13.49 
 2.95 
DDD
 11.36 
 34.66 
HP
Market Volatility
(90 Days Market Risk)
Out of control
Dangerous
Dangerous
Slightly risky
Relatively risky
Dangerous
Dangerous
Somewhat reliable
Risky
Very steady
Market Performance
(90 Days Performance)
Weak
Good
Solid
Strong
Very Weak
Good
Solid
OK
OK
OK
Odds of Financial Distress
(Probability Of Bankruptcy)
Very High
Below Average
Low
Below Average
Very High
Quite High
Quite High
Low
About Average
Low
Current Valuation
(Equity Enterprise Value)
Over Valued
Under Valued
Over Valued
Over Valued
Over Valued
Over Valued
Under Valued
Under Valued
Under Valued
Over Valued
Buy or Sell Advice
(Average Analysts Consensus)
Not Available
Strong Buy
Strong Buy
Buy
Hold
Hold
Strong Buy
Strong Buy
Buy
Buy
Trade Advice
(90 Days Macroaxis Advice)
Strong Sell
Cautious Hold
Cautious Hold
Hold
Strong Sell
Hold
Hold
Sell
Strong Sell
Hold
Current Ratio
0.95
10.4
0.97
30.11
4.32
1.16
0.64
3.92
5.52
0.76
Net Asset
9.28 M
159.91 M
78.73 M
555.43 M
458 M
187.62 M
59.36 M
1.13 B
980.19 M
37 B
Profit Margin
N/A
N/A
N/A
N/A
-2.17
-0.18
N/A
-0.19
-0.76
0.0533
EBITDA
(45.84 M)
(62.2 M)
(25.26 M)
(147.38 M)
(268.66 M)
(16.17 M)
(80.83 M)
(35.61 M)
(68.18 M)
4.46 B
Operating Margin
-8.79
-7.29
-53.84
-4.29
-0.87
-0.23
-8.63
-0.18
-0.24
0.0749
Current Valuation
65.52 M
352.96 M
920.49 M
6.35 B
245.99 M
202.19 M
630.2 M
568.48 M
538.81 M
44.09 B
Price To Book
N/A
3.44
15.06
15.22
1.89
N/A
32.55
0.82
1.2
N/A
Retained Earnings
N/A
(353.76 M)
(149.72 M)
(352.07 M)
(1.63 B)
(827.38 M)
(483.06 M)
(2.2 B)
(1.11 B)
(2.36 B)
Current Asset
N/A
N/A
N/A
N/A
95.8 M
N/A
N/A
547.07 M
432.47 M
18.47 B
Five Year Return
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
2.9
Beta
5.29
2.14
1.63
1.89
0.6
2.76
0.95
1.22
1.65
1.09
Number Of Employees
85
134
39
324
950
770
200
1.98 K
1.93 K
58 K
Shares Outstanding
5.38 B
192.3 M
115.09 M
216.39 M
33.34 M
4.85 M
224.02 M
71.39 M
133.57 M
963.41 M
Cash Flow From Operations
(14.83 M)
(50.58 M)
(19.94 M)
(78.81 M)
(115 M)
(10.16 M)
(60.65 M)
(61.65 M)
(80.67 M)
3.57 B
Annual Yield
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
0.0282
Total Debt
20.31 M
30.57 M
3.34 M
8.11 M
143.95 M
119.98 M
72.65 M
18.66 M
386.07 M
10.74 B
Return On Equity
N/A
-0.51
-0.34
-0.37
-1.53
N/A
-34.94
-0.13
-0.63
N/A
Z Score
-12.0
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
Return On Asset
-1.02
-0.26
-0.18
-0.25
-0.24
-0.12
-1.03
-0.039
-0.0544
0.0705
Book Value Per Share
-0.006
0.64
0.64
2.02
2.17
-25.35
-0.15
12.7
2.86
-1.44
Number Of Shares Shorted
N/A
25.67 M
4.36 M
38.02 M
2.78 M
188.35 K
16.1 M
1.55 M
8.48 M
38.06 M
Current Liabilities
N/A
N/A
N/A
N/A
60 M
N/A
N/A
172.73 M
145.47 M
18.81 B
Total Asset
9.28 M
159.91 M
78.73 M
555.43 M
458 M
187.62 M
59.36 M
1.13 B
980.19 M
37 B
Debt To Equity
N/A
0.18
0.11
0.007
0.16
N/A
N/A
0.013
0.64
0.88
Short Ratio
N/A
2.31
1.88
1.34
10.55
4.64
2.59
3.79
3.75
6.19
Target Price
N/A
3.0
8.5
18.58
5.0
5.0
2.96
11.8
3.06
35.45
Last Dividend Paid
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
1.09
Shares Owned By Institutions
N/A
33.64
4.0
36.89
35.3
47.65
55.44
51.97
55.28
82.4
Market Capitalization
47.86 M
423.05 M
300.27 M
6.63 B
136.7 M
83.54 M
604.84 M
680.3 M
455.49 M
37.67 B
Price To Earnings To Growth
N/A
0.07
N/A
-1.01
-0.14
-1.66
N/A
1.6
2.98
4.25
Price To Earning
N/A
N/A
0.77
N/A
N/A
N/A
N/A
250.48
5.29
9.89
Price To Sales
25.34
35.57
2036.66
177.01
0.81
0.29
59.79
1.13
1.0
0.71
Net Income
(62.2 M)
(75.11 M)
(29.73 M)
(157.77 M)
(323.27 M)
(41.29 M)
(82.72 M)
(123.07 M)
(370.43 M)
3.26 B
Earnings Per Share
-0.016
-0.37
-0.26
-0.82
-11.15
-13.13
-0.41
-1.32
-2.67
2.85
Shares Owned By Insiders
N/A
3.3
26.55
9.83
38.48
13.74
1.78
19.34
2.9
0.2
Revenue
1.45 M
12.01 M
358.05 K
22.04 M
189.7 M
311.6 M
8.76 M
627.6 M
488.07 M
53.72 B
Working Capital
N/A
78.61 M
(1.44 M)
352.82 M
146.03 M
(118.16 M)
35.8 M
383.67 M
480.63 M
(6.51 B)
Cash And Equivalents
363.07 K
161.02 M
10.38 M
423.35 M
76.29 M
26.53 M
10.47 M
438.32 M
388.13 M
3.15 B
Cash Per Share
N/A
1.31
0.19
2.12
0.81
0.26
0.09
6.57
4.9
3.15
Gross Profit
974.18 K
10.23 M
74.71 K
1.1 M
20.99 M
133.94 M
4.25 M
280.24 M
214.23 M
11.51 B
Day Typical Price
0.0029
2.37
6.78
30.97
4.14
19.99
2.76
9.62
3.12
35.23
Accumulation Distribution
0.1
7.9 M
11.3 M
3 M
3155.34
1.9 M
2.6 M
0.0326
0.14
2.9 M
Market Facilitation Index
3.0E-4
N/A
N/A
N/A
0.0
0.0
N/A
0.32
0.5
N/A
Daily Balance Of Power
0.6667
0.625
0.0552
0.3852
0.3333
0.0778
0.1212
0.0625
(0.92)
(1.12)
Period Momentum Indicator
2.0E-4
0.2
0.1
1.56
0.04
0.63
0.04
0.02
(0.46)
(4.44)
Rate Of Daily Change
1.07
1.09
1.02
1.05
1.01
1.04
1.01
1.0
0.87
0.89
Day Median Price
0.0029
2.36
6.8
30.35
4.14
21.05
2.77
9.66
3.2
35.52
Price Action Indicator
3.0E-4
0.14
0.005
2.65
0.02
(2.88)
(0.01)
(0.10)
(0.48)
(3.08)
Relative Strength Index
42.22
73.02
86.04
79.28
13.75
55.32
75.18
73.47
59.04
51.53
Coefficient Of Variation
3448.69
596.61
378.58
319.91
(3,120)
616.48
491.96
1153.62
964.26
939.5
Mean Deviation
4.22
6.59
10.6
5.74
1.74
11.25
6.2
3.0
4.27
1.31
Jensen Alpha
0.3874
1.16
4.3
2.13
(0.10)
2.81
1.37
0.1493
0.2024
0.0324
Total Risk Alpha
(1.09)
0.0946
1.88
1.2
(0.59)
0.1063
0.4147
(0.33)
(0.31)
(0.09)
Sortino Ratio
0.0195
0.2602
0.5315
0.4324
N/A
0.4013
0.3509
0.0788
0.0889
0.0218
Downside Variance
33.9
38.0
72.95
28.3
N/A
93.57
25.05
11.03
26.32
3.02
Standard Deviation
8.41
10.35
17.68
7.78
3.04
24.74
9.28
4.52
5.66
1.58
Kurtosis
20.86
12.86
10.66
3.55
15.52
22.07
9.78
6.23
0.9398
(0.36)
Potential Upside
3.85
17.57
29.35
16.3
2.86
19.76
15.58
9.26
11.73
2.22
Treynor Ratio
(0.18)
0.3672
1.56
1.01
1.8
0.4051
0.4475
0.1977
0.1855
0.1514
Maximum Drawdown
64.29
31.98
122.3
47.83
23.02
51.59
50.1
25.45
31.04
6.13
Variance
70.67
107.08
312.56
60.47
9.24
611.93
86.16
20.46
31.99
2.5
Market Risk Adjusted Performance
(0.17)
0.3772
1.57
1.02
1.81
0.4151
0.4575
0.2077
0.1955
0.1614
Risk Adjusted Performance
0.0313
0.1374
0.2115
0.248
(0.02)
0.1337
0.1646
0.0746
0.0879
0.0865
Skewness
3.87
2.68
2.7
1.25
2.57
4.44
2.47
1.77
0.0487
(0.41)
Semi Deviation
4.22
5.28
6.71
4.08
N/A
7.21
4.22
3.02
4.77
1.62
Information Ratio
0.0135
0.155
0.2568
0.2958
(0.07)
0.1569
0.1892
0.0579
0.0807
0.0239
Value At Risk
(6.90)
(8.82)
(10.40)
(6.53)
(4.44)
(10.51)
(6.93)
(4.95)
(6.21)
(2.63)
Expected Short fall
(7.98)
(8.88)
(14.81)
(6.89)
N/A
(13.07)
(9.10)
(3.56)
(5.12)
(1.30)
Downside Deviation
5.82
6.16
8.54
5.32
N/A
9.67
5.01
3.32
5.13
1.74
Semi Variance
17.78
27.85
45.07
16.63
N/A
51.99
17.78
9.14
22.71
2.63

Artificial Intelligence Competition Performance Charts

Five steps to successful analysis of Artificial Intelligence Competition

Artificial Intelligence'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 Artificial Intelligence in relation to its competition. Artificial Intelligence's competition analysis typically involves several steps, including:
  • Identifying the key players in the market: This involves identifying the major competitors of Artificial Intelligence 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 Artificial Intelligence's competitive landscape.
  • Identifying opportunities and threats: This involves using the information gathered during the analysis to identify opportunities and threats to Artificial Intelligence, 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.

Complement your Artificial Intelligence position

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Computers
Computers Theme
Fama and French investing themes focus on testing asset pricing under different economic assumptions. The Computers theme has 61 constituents at this time.
You can either use a buy-and-hold strategy to lock in the entire theme or actively trade it to take advantage of the short-term price volatility of individual constituents. Macroaxis can help you discover thousands of investment opportunities in different asset classes. In addition, you can partner with us for reliable portfolio optimization as you plan to utilize Computers Theme or any other thematic opportunities.
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Additional Tools for Artificial Pink Sheet Analysis

When running Artificial Intelligence's price analysis, check to measure Artificial Intelligence'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 Artificial Intelligence is operating at the current time. Most of Artificial Intelligence's value examination focuses on studying past and present price action to predict the probability of Artificial Intelligence's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Artificial Intelligence's price. Additionally, you may evaluate how the addition of Artificial Intelligence to your portfolios can decrease your overall portfolio volatility.
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