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ECDA vs SSM
To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is ECDA is a StrongBuy and SSM is a Hold.
Long-Term Analysis
It is best to consider a long-term outlook for a ticker by using Fundamental Analysis (FA) ratings. The rating of 1 to 100, where 1 is best and 100 is worst, is divided into thirds. The first third (a green rating of 1-33) indicates that the ticker is undervalued; the second third (a grey number between 34 and 66) means that the ticker is valued fairly; and the last third (red number of 67 to 100) reflects that the ticker is undervalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
ECDA’s FA Score shows that 0 FA rating(s) are green whileSSM’s FA Score has 0 green FA rating(s).
- ECDA’s FA Score: 0 green, 5 red.
- SSM’s FA Score: 0 green, 5 red.
Short-Term Analysis
It is best to consider a short-term outlook for a ticker by using Technical Analysis (TA) indicators. We use Odds of Success as the percentage of outcomes which confirm successful trade signals in the past.
If the Odds of Success (the likelihood of the continuation of a trend) for each indicator are greater than 50%, then the generated signal is confirmed. A green percentage from 90% to 51% indicates that the ticker is in a bullish trend. A red percentage from 90% - 51% indicates that the ticker is in a bearish trend. All grey percentages are below 50% and are considered not to confirm the trend signal.
ECDA’s TA Score shows that 5 TA indicator(s) are bullish while SSM’s TA Score has 4 bullish TA indicator(s).
- ECDA’s TA Score: 5 bullish, 3 bearish.
- SSM’s TA Score: 4 bullish, 4 bearish.
Price Growth
ECDA (@Motor Vehicles) experienced а +17.50% price change this week, while SSM (@Motor Vehicles) price change was -32.90% for the same time period.
The average weekly price growth across all stocks in the @Motor Vehicles industry was +1.23%. For the same industry, the average monthly price growth was +3.90%, and the average quarterly price growth was +23.84%.
Industries' Descriptions
@Motor Vehicles (+1.23% weekly)Automobiles continue to be arguably the most popular form of passenger travel in the U.S., and major automobile makers have revenues and market capitalizations running into multi-billions. In recent years, the industry has been experiencing some path-breaking innovations like electric vehicles and self-driving technology. While there are long-standing companies like General Motors, Ford, and Toyota Motors operating in this space, there are also emerging/rapidly growing players like Tesla – which has had a major role in the growing popularity of the electric vehicle market. With technological advancements taking steam in the auto space, we’ve also witnessed collaborations (or talks of potential partnerships) of carmakers with tech behemoths like Google’s subsidiary, Waymo.
| ECDA | SSM | ECDA / SSM | |
| Capitalization | 7.82M | 14.2M | 55% |
| EBITDA | -5.74M | 65.1M | -9% |
| Gain YTD | -85.729 | 19320.000 | -0% |
| P/E Ratio | 68.90 | N/A | - |
| Revenue | 25.2M | 51K | 49,412% |
| Total Cash | 605K | 339K | 178% |
| Total Debt | 23.5M | 15.9M | 148% |
| ECDA | SSM | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| Stochastic ODDS (%) | 3 days ago 66% | 3 days ago 88% |
| Momentum ODDS (%) | 3 days ago 76% | 3 days ago 90% |
| MACD ODDS (%) | 3 days ago 59% | N/A |
| TrendWeek ODDS (%) | 3 days ago 53% | 3 days ago 90% |
| TrendMonth ODDS (%) | 3 days ago 90% | 3 days ago 82% |
| Advances ODDS (%) | 3 days ago 65% | N/A |
| Declines ODDS (%) | 11 days ago 84% | 4 days ago 90% |
| BollingerBands ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| Aroon ODDS (%) | 3 days ago 90% | 3 days ago 90% |
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ECDA and
Correlation & Price change
A.I.dvisor tells us that ECDA and CENN have been poorly correlated (+21% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that ECDA and CENN's prices will move in lockstep.
| Ticker / NAME | Correlation To ECDA | 1D Price Change % | ||
|---|---|---|---|---|
| ECDA | 100% | +17.09% | ||
| CENN - ECDA | 21% Poorly correlated | -1.41% | ||
| RACE - ECDA | 20% Poorly correlated | -0.28% | ||
| LVWR - ECDA | 14% Poorly correlated | -3.01% | ||
| NIOIF - ECDA | 13% Poorly correlated | +3.28% | ||
| BYDDF - ECDA | 11% Poorly correlated | -1.76% | ||
More | ||||
SSM and
Correlation & Price change
A.I.dvisor tells us that SSM and ZK have been poorly correlated (+7% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that SSM and ZK's prices will move in lockstep.
| Ticker / NAME | Correlation To SSM | 1D Price Change % | ||
|---|---|---|---|---|
| SSM | 100% | +11.48% | ||
| ZK - SSM | 7% Poorly correlated | -0.78% | ||
| FLYE - SSM | 5% Poorly correlated | -10.91% | ||
| LOBO - SSM | 5% Poorly correlated | +5.10% | ||
| LOT - SSM | 4% Poorly correlated | -0.75% | ||
| ECDA - SSM | 1% Poorly correlated | +17.09% |