PTVLF 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 PTVLF 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).
PTVLF’s FA Score shows that 2 FA rating(s) are green whileSVV’s FA Score has 0 green FA rating(s).
- PTVLF’s FA Score: 2 green, 3 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
PTVLF (@Specialty Stores) experienced а 0.00% price change this week, while SVV (@Specialty Stores) price change was -9.44% for the same time period.
The average weekly price growth across all stocks in the @Specialty Stores industry was -2.12%. For the same industry, the average monthly price growth was -0.72%, and the average quarterly price growth was +0.04%.
Reported Earning Dates
SVV is expected to report earnings on Nov 07, 2024.
Industries' Descriptions
@Specialty Stores (-2.12% 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.
| PTVLF | SVV | PTVLF / SVV | |
| Capitalization | 1.64B | 3.12B | 52% |
| EBITDA | 204M | 202M | 101% |
| Gain YTD | -3.406 | -43.728 | 8% |
| P/E Ratio | 24.39 | 56.82 | 43% |
| Revenue | 989M | 1.5B | 66% |
| Total Cash | 12.2M | 180M | 7% |
| Total Debt | 572M | 1.29B | 44% |
| SVV | |
|---|---|
| RSI ODDS (%) | 2 days ago 67% |
| Stochastic ODDS (%) | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 90% |
| MACD ODDS (%) | 2 days ago 86% |
| TrendWeek ODDS (%) | 2 days ago 87% |
| TrendMonth ODDS (%) | 2 days ago 87% |
| Advances ODDS (%) | 8 days ago 76% |
| Declines ODDS (%) | 16 days ago 87% |
| BollingerBands ODDS (%) | 2 days ago 83% |
| Aroon ODDS (%) | 2 days ago 90% |
PTVLF and
Correlation & Price change
A.I.dvisor tells us that PTVLF and FNEDF have been poorly correlated (+15% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that PTVLF and FNEDF's prices will move in lockstep.
| Ticker / NAME | Correlation To PTVLF | 1D Price Change % | ||
|---|---|---|---|---|
| PTVLF | 100% | N/A | ||
| FNEDF - PTVLF | 15% Poorly correlated | N/A | ||
| SPEV - PTVLF | 3% Poorly correlated | -21.92% | ||
| CTNT - PTVLF | 1% Poorly correlated | -9.96% | ||
| SVV - PTVLF | 1% Poorly correlated | +0.82% | ||
| EICCF - PTVLF | 0% Poorly correlated | N/A | ||
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 39% 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.