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).
FHNGY’s FA Score shows that 2 FA rating(s) are green whileKTYCF’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.
FHNGY’s TA Score shows that 2 TA indicator(s) are bullish while KTYCF’s TA Score has 3 bullish TA indicator(s).
FHNGY (@Department Stores) experienced а +2.75% price change this week, while KTYCF (@Specialty Stores) price change was +8.82% for the same time period.
The average weekly price growth across all stocks in the @Department Stores industry was +0.95%. For the same industry, the average monthly price growth was +2.37%, and the average quarterly price growth was +7.93%.
The average weekly price growth across all stocks in the @Specialty Stores industry was +3.20%. For the same industry, the average monthly price growth was +2.85%, and the average quarterly price growth was +3.65%.
A department store sells a wide variety of consumer goods under different “departments,” including (but not necessarily limited to) apparel, household appliances, home furnishings, personal care products, cosmetics, consumer electronics. During healthy macroeconomic conditions, consumers typically won’t shy away from big-ticket purchases; but during a downturn, consumer spending might get limited to the most necessary/daily essentials. Several department stores purchase items on bulk from manufacturers for resale to consumers at a profit. Some of the largest department stores companies in the U.S. include Kohl’s Corporation, Macy’s Inc., and Ollie’s Bargain Outlet Holdings Inc.
@Specialty Stores (+3.20% 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.
FHNGY | KTYCF | FHNGY / KTYCF | |
Capitalization | 2.31B | 124M | 1,863% |
EBITDA | 12.2B | 955K | 1,277,487% |
Gain YTD | -18.853 | 82.003 | -23% |
P/E Ratio | 12.94 | N/A | - |
Revenue | 58.3B | 99.3M | 58,711% |
Total Cash | 3.23B | 19.6M | 16,469% |
Total Debt | 23.4B | 18.5M | 126,486% |
FHNGY | KTYCF | |
---|---|---|
RSI ODDS (%) | N/A | 4 days ago77% |
Stochastic ODDS (%) | 4 days ago69% | 4 days ago60% |
Momentum ODDS (%) | 4 days ago74% | 4 days ago66% |
MACD ODDS (%) | N/A | 4 days ago62% |
TrendWeek ODDS (%) | 4 days ago70% | 4 days ago67% |
TrendMonth ODDS (%) | 4 days ago76% | 4 days ago68% |
Advances ODDS (%) | N/A | 4 days ago66% |
Declines ODDS (%) | N/A | N/A |
BollingerBands ODDS (%) | 4 days ago82% | 4 days ago71% |
Aroon ODDS (%) | 4 days ago73% | 4 days ago74% |
A.I.dvisor tells us that FHNGY and VBREY have been poorly correlated (+7% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that FHNGY and VBREY's prices will move in lockstep.
Ticker / NAME | Correlation To FHNGY | 1D Price Change % | ||
---|---|---|---|---|
FHNGY | 100% | N/A | ||
VBREY - FHNGY | 7% Poorly correlated | +1.10% | ||
JZXN - FHNGY | 5% Poorly correlated | -2.40% | ||
BARK - FHNGY | 5% Poorly correlated | -5.04% | ||
LNBY - FHNGY | 5% Poorly correlated | -27.33% | ||
JUMSF - FHNGY | 2% Poorly correlated | N/A | ||
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A.I.dvisor tells us that KTYCF and HZO have been poorly correlated (+24% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that KTYCF and HZO's prices will move in lockstep.
Ticker / NAME | Correlation To KTYCF | 1D Price Change % | ||
---|---|---|---|---|
KTYCF | 100% | +4.79% | ||
HZO - KTYCF | 24% Poorly correlated | +2.03% | ||
BARK - KTYCF | 5% Poorly correlated | -5.04% | ||
FHNGY - KTYCF | 1% Poorly correlated | N/A | ||
JZXN - KTYCF | 1% Poorly correlated | -2.40% | ||
OLPX - KTYCF | -0% Poorly correlated | -2.60% | ||
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