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).
PSNY’s FA Score shows that 0 FA rating(s) are green whileWKHS’s FA Score has 0 green FA rating(s).
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.
PSNY’s TA Score shows that 4 TA indicator(s) are bullish while WKHS’s TA Score has 4 bullish TA indicator(s).
PSNY (@Motor Vehicles) experienced а -16.23% price change this week, while WKHS (@Motor Vehicles) price change was -18.48% for the same time period.
The average weekly price growth across all stocks in the @Motor Vehicles industry was -0.89%. For the same industry, the average monthly price growth was +0.42%, and the average quarterly price growth was -8.85%.
PSNY is expected to report earnings on Feb 27, 2025.
WKHS is expected to report earnings on Aug 06, 2024.
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.
PSNY | WKHS | PSNY / WKHS | |
Capitalization | 3.31B | 73.1M | 4,532% |
EBITDA | -479.74M | -111.24M | 431% |
Gain YTD | -59.969 | -88.056 | 68% |
P/E Ratio | N/A | 3.20 | - |
Revenue | 2.83B | 13.1M | 21,603% |
Total Cash | 951M | 25.8M | 3,686% |
Total Debt | 2.97B | 29M | 10,241% |
WKHS | ||
---|---|---|
OUTLOOK RATING 1..100 | 72 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 67 Overvalued | |
PROFIT vs RISK RATING 1..100 | 100 | |
SMR RATING 1..100 | 98 | |
PRICE GROWTH RATING 1..100 | 65 | |
P/E GROWTH RATING 1..100 | 100 | |
SEASONALITY SCORE 1..100 | n/a |
Tickeron ratings are formulated such that a rating of 1 designates the most successful stocks in a given industry, while a rating of 100 points to the least successful stocks for that industry.
PSNY | WKHS | |
---|---|---|
RSI ODDS (%) | 2 days ago74% | 2 days ago90% |
Stochastic ODDS (%) | 2 days ago69% | 2 days ago76% |
Momentum ODDS (%) | 2 days ago80% | 2 days ago90% |
MACD ODDS (%) | 2 days ago81% | 2 days ago90% |
TrendWeek ODDS (%) | 2 days ago73% | 2 days ago90% |
TrendMonth ODDS (%) | 2 days ago79% | 2 days ago90% |
Advances ODDS (%) | 10 days ago78% | 10 days ago84% |
Declines ODDS (%) | 2 days ago79% | 2 days ago90% |
BollingerBands ODDS (%) | 2 days ago69% | 2 days ago74% |
Aroon ODDS (%) | 2 days ago80% | 3 days ago86% |
A.I.dvisor indicates that over the last year, PSNY has been loosely correlated with NIO. These tickers have moved in lockstep 35% of the time. This A.I.-generated data suggests there is some statistical probability that if PSNY jumps, then NIO could also see price increases.
Ticker / NAME | Correlation To PSNY | 1D Price Change % | ||
---|---|---|---|---|
PSNY | 100% | -6.39% | ||
NIO - PSNY | 35% Loosely correlated | +2.71% | ||
PSNYW - PSNY | 31% Poorly correlated | -9.10% | ||
GP - PSNY | 30% Poorly correlated | -1.34% | ||
LI - PSNY | 30% Poorly correlated | +2.75% | ||
WKHS - PSNY | 30% Poorly correlated | -3.86% | ||
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A.I.dvisor indicates that over the last year, WKHS has been loosely correlated with GP. These tickers have moved in lockstep 40% of the time. This A.I.-generated data suggests there is some statistical probability that if WKHS jumps, then GP could also see price increases.
Ticker / NAME | Correlation To WKHS | 1D Price Change % | ||
---|---|---|---|---|
WKHS | 100% | -3.86% | ||
GP - WKHS | 40% Loosely correlated | -1.34% | ||
PSNY - WKHS | 30% Poorly correlated | -6.39% | ||
RIVN - WKHS | 28% Poorly correlated | -4.17% | ||
HYZN - WKHS | 27% Poorly correlated | -9.68% | ||
GM - WKHS | 25% Poorly correlated | -2.09% | ||
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