Clean Competitors

OTC Stocks . USA . 
Stock . Clean Air Metals
CLRMF Stock  USD 0.07  0.0008  1.16%   
Clean Air Metals competes with Silver Range, Condor Resources, Lithoquest Resources, Alianza Minerals, and Riverside Resources; as well as few others. The company classifies itself under Basic Materials sector and is part of Other Precious Metals & Mining industry. Analyzing Clean Air 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 Clean Air to its intrinsic valuation because they are able to contrast its competitors on a relative basis. Check out Clean Air Correlation with its peers.

Clean Air vs True North Correlation

Very good diversification

The correlation between Clean Air Metals and TNGMF is -0.5 (i.e., Very good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Clean Air Metals and TNGMF in the same portfolio, assuming nothing else is changed.

Moving together with Clean OTC Stock

  0.9AGPPF Anglo American PlatinumPairCorr
  0.92ANGPY Valterra PlatinumPairCorr
  0.91IMPUY Impala Platinum HoldingsPairCorr
  0.91IMPUF Impala Platinum HoldingsPairCorr
  0.87BVN Compania de MinasPairCorr
Specify up to 10 symbols:
Hype
Prediction
LowEstimatedHigh
0.000.079.15
Details
Intrinsic
Valuation
LowRealHigh
0.000.069.14
Details
Naive
Forecast
LowNextHigh
00.079.15
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
0.060.070.08
Details

Clean Air Competition Correlation Matrix

Typically, diversification allows investors to combine positions across different asset classes to reduce overall portfolio risk. Correlation between Clean Air and its competitors represents the degree of relationship between the price movements of corresponding otcs. A correlation of about +1.0 implies that the price of Clean 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 Clean Air Metals does not affect the price movement of the other competitor.

High positive correlations

SGCPF
+ 0.78
RVSDF
RVSDF
+ 0.69
TARSF
SGCPF
+ 0.65
TARSF
MXROF
+ 0.64
RVSDF
GBRRF
+ 0.62
SGCPF
SGCPF
+ 0.58
MXROF
  

High negative correlations

TNGMF
- 0.56
SGCPF
TNGMF
- 0.56
RVSDF
SWYDF
- 0.55
CNRIF
TNGMF
- 0.54
TARSF
SWYDF
- 0.54
TARSF
TNGMF
- 0.54
CNRIF

Risk-Adjusted Indicators

There is a big difference between Clean OTC Stock performing well and Clean Air OTC Stock 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 Clean Air'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
SLRRF  7.97  1.45  0.06 (0.42) 9.98 
(18.85)
 25.00 
(18.18)
 83.33 
CNRIF  8.88  0.97  0.05 (3.24) 10.43 
(21.90)
 25.00 
(20.00)
 85.62 
CWVWF  19.27  7.44  0.20 (1.91) 12.31 
(97.77)
 20.00 
(20.00)
 580.30 
TARSF  5.13  0.62  0.10  0.49  4.81 
(8.05)
 13.33 
(10.00)
 29.41 
RVSDF  4.13  0.38  0.06  0.25  4.08 
(8.49)
 7.14 
(6.67)
 43.33 
MXROF  12.55  4.66  0.43  0.42  4.87 
(42.63)
 14.29 
(12.50)
 348.93 
SGCPF  11.11  2.37  0.13  0.48  11.05 
(18.20)
 35.08 
(20.73)
 83.16 
SWYDF  48.04  19.69  0.36  6.97  22.20 
(163.94)
 100.00 
(50.00)
 275.00 
GBRRF  5.81  0.57  0.09  0.18  5.24 
(12.04)
 14.08 
(9.42)
 94.32 
TNGMF  0.74 (0.40) 0.00 (6.43) 0.00 
 0.00 
 0.00 
 0.00 
 9.09 

Clean Air Competitive Analysis

The better you understand Clean Air competitors, the better chance you have of utilizing it as a position in your portfolios. From an individual investor's perspective, Clean Air'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 Clean Air'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
CLRMF SLRRF CNRIF CWVWF TARSF RVSDF MXROF SGCPF SWYDF GBRRF
 1.16 
 0.07 
Clean
 7.14 
 0.15 
Silver
 14.29 
 0.12 
Condor
 13.64 
 0.19 
Lithoquest
 7.14 
 0.26 
Alianza
 5.88 
 0.18 
Riverside
 3.13 
 0.31 
Max
 58.33 
 0.1 
Solstice
 900.00 
 0 
Stornoway
 4.17 
 0.07 
Gabriel
Market Volatility
(90 Days Market Risk)
Out of control
Out of control
Out of control
Out of control
Out of control
Out of control
Out of control
Out of control
Out of control
Out of control
Market Performance
(90 Days Performance)
Good
Fair
Soft
Fair
Fair
Fair
Fair
Good
Good
Soft
Odds of Financial Distress
(Probability Of Bankruptcy)
Low
Moderate
Low
Strong
High
Moderate
Strong
Average
Average
Risky
Current Valuation
(Equity Enterprise Value)
Over Valued
Over Valued
Over Valued
Over Valued
Over Valued
Over Valued
Over 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)
Cautious Hold
Strong Sell
Strong Sell
Strong Sell
Sell
Hold
Cautious Hold
Cautious Hold
Cautious Hold
Strong Sell
Current Ratio
2.64
10.37
7.47
1.87
1.21
1.72
25.55
12.49
0.7
1.31
Net Asset
35.06 M
10.28 M
6.33 M
2.68 M
N/A
16.32 M
3.23 M
22.08 M
1.13 B
6.79 M
Profit Margin
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
-2.29
N/A
EBITDA
(1.63 M)
4.29 M
(360.12 K)
(4.66 M)
(835.81 K)
(144.43 K)
(5.01 M)
(1.41 M)
(126.11 M)
(14.63 M)
Current Valuation
18.84 M
7.37 M
7.55 M
1.81 M
2.82 M
2.5 M
18.61 M
8.8 M
248.67 M
209.67 M
Price To Book
0.69
1.11
1.57
20.53
0.69
0.76
1.76
0.61
N/A
149.19
Operating Margin
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
-0.73
N/A
Retained Earnings
N/A
N/A
N/A
N/A
(9.7 M)
N/A
(13.15 M)
N/A
N/A
N/A
Current Asset
N/A
N/A
N/A
N/A
29 K
N/A
195 K
N/A
N/A
N/A
Beta
0.36
-0.0825
1.09
-0.45
0.4
1.13
1.62
1.69
-0.21
0.0933
Number Of Employees
4
16
11
5
11
16
12
1
556
18
Shares Outstanding
223.6 M
89.15 M
126.88 M
124.26 M
158.95 M
74.45 M
161.88 M
186.2 M
926.58 M
1 B
Cash Flow From Operations
(1.79 M)
(475.31 K)
(341.42 K)
(3.7 M)
(1.34 M)
(1.05 M)
(4.44 M)
(1.02 M)
6.99 M
(11.35 M)
Total Debt
912.95 K
28.88 K
40 K
N/A
N/A
33.6 K
N/A
40 K
N/A
88.22 M
Return On Equity
-0.1
0.27
0.21
-4.3
-0.28
-0.0179
-0.44
-0.12
-3.12
-3.4
Z Score
12.0
N/A
N/A
-3.3
-4.2
N/A
-8.9
N/A
N/A
-6.0
Return On Asset
-0.0387
-0.1
0.0107
-1.92
-0.14
-0.0203
-0.27
-0.0482
-0.14
-0.57
Book Value Per Share
0.18
0.12
0.059
0.002
0.044
0.16
0.15
0.12
-0.11
-0.002
Current Liabilities
N/A
N/A
N/A
N/A
94 K
N/A
289 K
N/A
N/A
N/A
Total Asset
35.06 M
10.28 M
6.33 M
2.68 M
2.65 M
16.32 M
3.23 M
22.08 M
1.13 B
6.79 M
Debt To Equity
0.023
0.002
0.006
N/A
N/A
0.003
69.4
0.001
136.0
N/A
Shares Owned By Institutions
27.87
N/A
9.48
17.0
4.26
16.99
9.6
0.68
14.43
57.65
Market Capitalization
18.71 M
9.28 M
16.98 M
3.23 M
4.76 M
7.2 M
25.45 M
10.45 M
3.06 M
160.47 M
Price To Earning
N/A
29.85
N/A
N/A
-1.67
3.53
-9.18
N/A
9.52
-1.51
Price To Sales
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
0.0104
N/A
Net Income
(2.17 M)
4.29 M
119.53 K
(4.49 M)
(939.12 K)
(207.59 K)
(5.08 M)
(1.94 M)
(329.35 M)
(19.9 M)
Earnings Per Share
-0.01
0.02
0.01
-0.01
-0.005
-0.001
-0.038
-0.01
-0.56
-0.011
Shares Owned By Insiders
14.53
42.41
16.89
8.26
20.74
5.11
7.09
40.24
25.89
13.22
Revenue
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
165.49 M
N/A
Working Capital
N/A
N/A
N/A
N/A
(65 K)
N/A
(94 K)
N/A
N/A
N/A
Cash And Equivalents
3.13 M
1.13 M
338.32 K
885.76 K
310.81 K
7.58 M
21.23 M
2.38 M
21.34 M
8.49 M
Cash Per Share
0.01
0.01
N/A
0.01
N/A
0.1
0.13
0.01
0.02
0.01
Gross Profit
(10.98 K)
(137.62 K)
(51.69 K)
N/A
(33.7 K)
(4.66 K)
(181.64 K)
(10.05 K)
33.82 M
N/A
Day Typical Price
0.069
0.15
0.12
0.19
0.27
0.18
0.31
0.0883
7.0E-4
0.0717
Accumulation Distribution
9020.62
N/A
N/A
N/A
8556.14
N/A
N/A
8000.0
5508.9
1397.13
Daily Balance Of Power
(0.13)
9.2 T
0
0
(1.00)
9.2 T
0
1.75
1.0
0.56
Period Momentum Indicator
(0.0008)
0.01
(0.02)
(0.03)
(0.02)
0.01
(0.01)
0.035
9.0E-4
0.0028
Rate Of Daily Change
0.99
1.07
0.86
0.86
0.93
1.06
0.97
1.58
10.0
1.04
Day Median Price
0.0694
0.15
0.12
0.19
0.27
0.18
0.31
0.085
6.0E-4
0.0725
Price Action Indicator
(0)
0.005
(0.01)
(0.01)
(0.02)
0.005
(0.01)
0.0275
9.0E-4
(0)
Relative Strength Index
52.15
56.25
46.95
49.38
48.32
53.88
69.01
54.94
68.76
48.42
Coefficient Of Variation
1011.03
1040.48
1536.46
977.72
971.68
1381.11
812.13
647.0
603.58
1579.68
Mean Deviation
6.63
7.97
8.88
19.27
5.13
4.13
12.55
11.11
48.04
5.81
Jensen Alpha
0.7719
1.45
0.9716
7.44
0.625
0.3833
4.66
2.37
19.69
0.5683
Total Risk Alpha
0.3598
0.5067
0.0868
3.1
0.2895
0.08
2.71
1.61
12.8
0.0469
Sortino Ratio
0.0965
0.0593
0.0458
0.1979
0.0973
0.0584
0.4278
0.1308
0.3563
0.0935
Downside Variance
78.22
458.65
399.97
1337.34
43.56
51.3
144.32
382.58
3078.55
57.61
Standard Deviation
9.17
13.77
14.89
71.27
6.76
6.51
42.17
16.9
119.63
12.05
Kurtosis
1.46
5.0
3.01
60.95
0.2514
9.08
61.91
2.27
46.52
32.87
Potential Upside
15.68
25.0
25.0
20.0
13.33
7.14
14.29
35.08
100.0
14.08
Treynor Ratio
0.3086
(0.42)
(3.24)
(1.91)
0.4892
0.2548
0.4233
0.4783
6.97
0.1755
Maximum Drawdown
51.61
83.33
85.62
580.3
29.41
43.33
348.93
83.16
275.0
94.32
Variance
84.07
189.53
221.62
5078.78
45.63
42.34
1778.46
285.52
14310.65
145.19
Market Risk Adjusted Performance
0.3186
(0.41)
(3.23)
(1.90)
0.4992
0.2648
0.4333
0.4883
6.98
0.1855
Risk Adjusted Performance
0.0818
0.08
0.0573
0.085
0.0845
0.062
0.1002
0.123
0.1316
0.0559
Skewness
0.4688
0.0945
0.4956
7.64
0.5742
1.93
7.75
0.6809
6.4
4.9
Semi Deviation
7.71
9.98
10.43
12.31
4.81
4.08
4.87
11.05
22.2
5.24
Information Ratio
0.0931
0.0923
0.0615
0.1015
0.0951
0.0643
0.1219
0.1514
0.1652
0.0589
Value At Risk
(14.10)
(18.18)
(20.00)
(20.00)
(10.00)
(6.67)
(12.50)
(20.73)
(50.00)
(9.42)
Expected Short fall
(7.71)
(18.85)
(21.90)
(97.77)
(8.05)
(8.49)
(42.63)
(18.20)
(163.94)
(12.04)
Downside Deviation
8.84
21.42
20.0
36.57
6.6
7.16
12.01
19.56
55.48
7.59
Semi Variance
59.42
99.55
108.81
151.64
23.14
16.62
23.71
122.15
492.9
27.45

Clean Air Competition Performance Charts

Five steps to successful analysis of Clean Air Competition

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

In addition to having Clean Air in your portfolios, you can quickly add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your investment opportunity, you can then find an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility.

Did You Try This Idea?

Run Banks Thematic Idea Now

Banks
Banks Theme
Large and small money and credit banks and credit services. The Banks theme has 39 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 Banks Theme or any other thematic opportunities.
View All  Next Launch

Other Information on Investing in Clean OTC Stock

Clean Air financial ratios help investors to determine whether Clean OTC Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Clean with respect to the benefits of owning Clean Air security.
Macroaxis helps investors of all levels and skills to maximize the upside of all their holdings and minimize the risk associated with market volatility, economic swings, and company-specific events. View terms and conditions
 
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