FNEDF vs SVV
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 FNEDF is a Hold and SVV is a StrongSell.
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).
FNEDF’s FA Score shows that 0 FA rating(s) are green whileSVV’s FA Score has 0 green FA rating(s).
- FNEDF’s FA Score: 0 green, 5 red.
- SVV’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.
SVV’s TA Score shows that 2 TA indicator(s) are bullish.
- SVV’s TA Score: 2 bullish, 8 bearish.
Price Growth
FNEDF (@Specialty Stores) experienced а 0.00% price change this week, while SVV (@Specialty Stores) price change was -13.90% for the same time period.
The average weekly price growth across all stocks in the @Specialty Stores industry was -2.09%. For the same industry, the average monthly price growth was -0.74%, and the average quarterly price growth was +0.17%.
Reported Earning Dates
SVV is expected to report earnings on Nov 07, 2024.
Industries' Descriptions
@Specialty Stores (-2.09% weekly)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 | SVV | FNEDF / SVV | |
| Capitalization | 635M | 3.12B | 20% |
| EBITDA | N/A | 202M | - |
| Gain YTD | -7.621 | -45.455 | 17% |
| P/E Ratio | N/A | 56.82 | - |
| Revenue | N/A | 1.5B | - |
| Total Cash | N/A | 180M | - |
| Total Debt | N/A | 1.29B | - |
| SVV | |
|---|---|
| RSI ODDS (%) | 1 day ago 67% |
| Stochastic ODDS (%) | 1 day ago 78% |
| Momentum ODDS (%) | 1 day ago 86% |
| MACD ODDS (%) | 1 day ago 90% |
| TrendWeek ODDS (%) | 1 day ago 87% |
| TrendMonth ODDS (%) | 1 day ago 87% |
| Advances ODDS (%) | 8 days ago 76% |
| Declines ODDS (%) | 16 days ago 87% |
| BollingerBands ODDS (%) | 1 day ago 67% |
| Aroon ODDS (%) | 1 day ago 90% |
FNEDF and
Correlation & Price change
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 | -3.07% | ||
| UCAR - FNEDF | 1% Poorly correlated | +8.86% | ||
| EICCF - FNEDF | 0% Poorly correlated | N/A | ||
| SPEV - FNEDF | -0% Poorly correlated | -13.25% | ||
More | ||||
SVV and
Correlation & Price change
A.I.dvisor indicates that over the last year, SVV has been loosely correlated with RH. These tickers have moved in lockstep 41% of the time. This A.I.-generated data suggests there is some statistical probability that if SVV jumps, then RH could also see price increases.