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).
NIOIF’s FA Score shows that 0 FA rating(s) are green whilePSNYW’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.
PSNYW’s TA Score shows that 3 TA indicator(s) are bullish.
NIOIF (@Motor Vehicles) experienced а -2.75% price change this week, while PSNYW (@Motor Vehicles) price change was -35.70% for the same time period.
The average weekly price growth across all stocks in the @Motor Vehicles industry was -1.60%. For the same industry, the average monthly price growth was -5.15%, and the average quarterly price growth was -13.04%.
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.
NIOIF | PSNYW | NIOIF / PSNYW | |
Capitalization | 26.7B | 3.31B | 806% |
EBITDA | -17.04B | -479.74M | 3,551% |
Gain YTD | -51.684 | -37.417 | 138% |
P/E Ratio | N/A | N/A | - |
Revenue | 50B | 2.83B | 1,767% |
Total Cash | 32.6B | 951M | 3,428% |
Total Debt | 28.4B | 2.97B | 956% |
PSNYW | |
---|---|
RSI ODDS (%) | 2 days ago90% |
Stochastic ODDS (%) | 2 days ago90% |
Momentum ODDS (%) | 2 days ago90% |
MACD ODDS (%) | 2 days ago90% |
TrendWeek ODDS (%) | 2 days ago90% |
TrendMonth ODDS (%) | 2 days ago90% |
Advances ODDS (%) | N/A |
Declines ODDS (%) | 2 days ago90% |
BollingerBands ODDS (%) | 2 days ago90% |
Aroon ODDS (%) | 2 days ago90% |
A.I.dvisor tells us that NIOIF and DRPRY have been poorly correlated (+22% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that NIOIF and DRPRY's prices will move in lockstep.
Ticker / NAME | Correlation To NIOIF | 1D Price Change % | ||
---|---|---|---|---|
NIOIF | 100% | -16.55% | ||
DRPRY - NIOIF | 22% Poorly correlated | +0.13% | ||
GELYY - NIOIF | 21% Poorly correlated | +1.30% | ||
DRPRF - NIOIF | 20% Poorly correlated | +2.30% | ||
VFS - NIOIF | 12% Poorly correlated | -5.34% | ||
PSNYW - NIOIF | 6% Poorly correlated | -29.81% | ||
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A.I.dvisor indicates that over the last year, PSNYW has been loosely correlated with PSNY. These tickers have moved in lockstep 33% of the time. This A.I.-generated data suggests there is some statistical probability that if PSNYW jumps, then PSNY could also see price increases.
Ticker / NAME | Correlation To PSNYW | 1D Price Change % | ||
---|---|---|---|---|
PSNYW | 100% | -29.81% | ||
PSNY - PSNYW | 33% Loosely correlated | N/A | ||
TSLA - PSNYW | 27% Poorly correlated | -5.77% | ||
WKHS - PSNYW | 22% Poorly correlated | -14.49% | ||
CENN - PSNYW | 21% Poorly correlated | +3.01% | ||
NIU - PSNYW | 21% Poorly correlated | -1.96% | ||
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