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).
FNEDF’s FA Score shows that 0 FA rating(s) are green whileUCAR’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.
UCAR’s TA Score shows that 4 TA indicator(s) are bullish.
FNEDF (@Specialty Stores) experienced а 0.00% price change this week, while UCAR (@Specialty Stores) price change was -11.10% for the same time period.
The average weekly price growth across all stocks in the @Specialty Stores industry was -1.43%. For the same industry, the average monthly price growth was -0.73%, and the average quarterly price growth was +1.81%.
The specialty stores sector includes companies dedicated to the sale of retail products focused on a single product category, such as clothing, carpet, books, or office supplies. A specialty store could face intense competition from big-box departmental chains, and therefore offering an adequate collection of the product type it specializes in is key in maintaining/growing its market.
FNEDF | UCAR | FNEDF / UCAR | |
Capitalization | 635M | 3.89M | 16,307% |
EBITDA | N/A | N/A | - |
Gain YTD | -7.621 | -63.760 | 12% |
P/E Ratio | N/A | N/A | - |
Revenue | N/A | N/A | - |
Total Cash | N/A | N/A | - |
Total Debt | N/A | N/A | - |
UCAR | |
---|---|
RSI ODDS (%) | N/A |
Stochastic ODDS (%) | 1 day ago90% |
Momentum ODDS (%) | 1 day ago87% |
MACD ODDS (%) | 1 day ago82% |
TrendWeek ODDS (%) | 1 day ago90% |
TrendMonth ODDS (%) | 1 day ago82% |
Advances ODDS (%) | 9 days ago76% |
Declines ODDS (%) | N/A |
BollingerBands ODDS (%) | 1 day ago89% |
Aroon ODDS (%) | 1 day ago90% |
A.I.dvisor tells us that FNEDF and PTVLF have been poorly correlated (+15% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that FNEDF and PTVLF's prices will move in lockstep.
Ticker / NAME | Correlation To FNEDF | 1D Price Change % | ||
---|---|---|---|---|
FNEDF | 100% | N/A | ||
PTVLF - FNEDF | 15% Poorly correlated | N/A | ||
SVV - FNEDF | 2% Poorly correlated | N/A | ||
UCAR - FNEDF | 1% Poorly correlated | -6.99% | ||
EICCF - FNEDF | 0% Poorly correlated | N/A | ||
SPEV - FNEDF | -0% Poorly correlated | N/A | ||
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A.I.dvisor indicates that over the last year, UCAR has been closely correlated with JZXN. These tickers have moved in lockstep 79% of the time. This A.I.-generated data suggests there is a high statistical probability that if UCAR jumps, then JZXN could also see price increases.
Ticker / NAME | Correlation To UCAR | 1D Price Change % | ||
---|---|---|---|---|
UCAR | 100% | -6.99% | ||
JZXN - UCAR | 79% Closely correlated | N/A | ||
CRMT - UCAR | 25% Poorly correlated | -4.80% | ||
CHPT - UCAR | 24% Poorly correlated | N/A | ||
CVNA - UCAR | 23% Poorly correlated | -8.15% | ||
BQ - UCAR | 23% Poorly correlated | -6.86% | ||
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