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).
FERG’s FA Score shows that 1 FA rating(s) are green while.
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.
FERG’s TA Score shows that 5 TA indicator(s) are bullish.
FERG (@Wholesale Distributors) experienced а -3.62% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Wholesale Distributors industry was -2.72%. For the same industry, the average monthly price growth was -1.21%, and the average quarterly price growth was +2.40%.
FERG is expected to report earnings on Dec 10, 2024.
Companies in this industry handle the wholesale shipments for the manufacturer of a product. They have warehouses and distribution centers, and they ship products directly to the retailer. Digitization, increasing competition, emerging customer demand, and product innovation are some of shifts that the industry has been facing in recent times – something that is potentially creating needs/opportunities for business model revisions or transformations. Data, analytics, and technology are becoming increasingly important for whole distributors in anticipating and analyzing consumer needs, and therefore planning their business strategies accordingly. Fastenal Company, W.W. Grainger, Inc., Genuine Parts Company and Pool Corporation are some of the largest names in the business.
FERG | ||
---|---|---|
OUTLOOK RATING 1..100 | 76 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 57 Fair valued | |
PROFIT vs RISK RATING 1..100 | 17 | |
SMR RATING 1..100 | 88 | |
PRICE GROWTH RATING 1..100 | 54 | |
P/E GROWTH RATING 1..100 | 36 | |
SEASONALITY SCORE 1..100 | 95 |
Tickeron ratings are formulated such that a rating of 1 designates the most successful stocks in a given industry, while a rating of 100 points to the least successful stocks for that industry.
FERG | |
---|---|
RSI ODDS (%) | 3 days ago43% |
Stochastic ODDS (%) | 3 days ago48% |
Momentum ODDS (%) | 3 days ago69% |
MACD ODDS (%) | 3 days ago45% |
TrendWeek ODDS (%) | 3 days ago45% |
TrendMonth ODDS (%) | 3 days ago58% |
Advances ODDS (%) | 12 days ago65% |
Declines ODDS (%) | 3 days ago49% |
BollingerBands ODDS (%) | 3 days ago43% |
Aroon ODDS (%) | 3 days ago67% |
A.I.dvisor indicates that over the last year, FERG has been loosely correlated with CNM. These tickers have moved in lockstep 64% of the time. This A.I.-generated data suggests there is some statistical probability that if FERG jumps, then CNM could also see price increases.
Ticker / NAME | Correlation To FERG | 1D Price Change % | ||
---|---|---|---|---|
FERG | 100% | -1.61% | ||
CNM - FERG | 64% Loosely correlated | +1.43% | ||
BXC - FERG | 62% Loosely correlated | -0.78% | ||
AIT - FERG | 61% Loosely correlated | -1.42% | ||
BECN - FERG | 60% Loosely correlated | -2.18% | ||
SITE - FERG | 58% Loosely correlated | -1.53% | ||
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A.I.dvisor indicates that over the last year, JCTR has been loosely correlated with FERG. These tickers have moved in lockstep 54% of the time. This A.I.-generated data suggests there is some statistical probability that if JCTR jumps, then FERG could also see price increases.
Ticker / NAME | Correlation To JCTR | 1D Price Change % | ||
---|---|---|---|---|
JCTR | 100% | N/A | ||
FERG - JCTR | 54% Loosely correlated | -1.61% | ||
HOOD - JCTR | 51% Loosely correlated | +0.31% | ||
AFRM - JCTR | 44% Loosely correlated | +5.53% | ||
TOST - JCTR | 43% Loosely correlated | +0.59% | ||
HAYW - JCTR | 40% Loosely correlated | +1.97% | ||
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