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FERG vs PIO
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 FERG is a Buy and PIO is a Hold.
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).
FERG’s FA Score shows that 3 FA rating(s) are green while.
- FERG’s FA Score: 3 green, 2 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.
FERG’s TA Score shows that 4 TA indicator(s) are bullish.
- FERG’s TA Score: 4 bullish, 4 bearish.
Price Growth
FERG (@Wholesale Distributors) experienced а +0.88% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Wholesale Distributors industry was -0.27%. For the same industry, the average monthly price growth was +2.20%, and the average quarterly price growth was -0.98%.
Industries' Descriptions
@Wholesale Distributors (-0.27% weekly)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 | 50 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 60 Fair valued | |
PROFIT vs RISK RATING 1..100 | 18 | |
SMR RATING 1..100 | 33 | |
PRICE GROWTH RATING 1..100 | 40 | |
P/E GROWTH RATING 1..100 | 32 | |
SEASONALITY SCORE 1..100 | 46 |
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 | PIO | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 39% | 3 days ago 89% |
| Stochastic ODDS (%) | 3 days ago 50% | 3 days ago 71% |
| Momentum ODDS (%) | 3 days ago 71% | 3 days ago 85% |
| MACD ODDS (%) | 3 days ago 60% | 3 days ago 76% |
| TrendWeek ODDS (%) | 3 days ago 67% | 3 days ago 78% |
| TrendMonth ODDS (%) | 3 days ago 66% | 3 days ago 82% |
| Advances ODDS (%) | 6 days ago 66% | 4 days ago 86% |
| Declines ODDS (%) | 26 days ago 52% | N/A |
| BollingerBands ODDS (%) | 3 days ago 50% | N/A |
| Aroon ODDS (%) | 3 days ago 65% | 3 days ago 82% |
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FERG and
Correlation & Price change
A.I.dvisor indicates that over the last year, FERG has been loosely correlated with CNM. These tickers have moved in lockstep 66% 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% | -0.41% | ||
| CNM - FERG | 66% Loosely correlated | -1.06% | ||
| AIT - FERG | 61% Loosely correlated | -1.99% | ||
| WSO - FERG | 58% Loosely correlated | -2.51% | ||
| BXC - FERG | 57% Loosely correlated | -4.41% | ||
| SITE - FERG | 56% Loosely correlated | -3.66% | ||
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PIO and
Correlation & Price change
A.I.dvisor indicates that over the last year, PIO has been closely correlated with PNR. These tickers have moved in lockstep 72% of the time. This A.I.-generated data suggests there is a high statistical probability that if PIO jumps, then PNR could also see price increases.
| Ticker / NAME | Correlation To PIO | 1D Price Change % | ||
|---|---|---|---|---|
| PIO | 100% | -1.36% | ||
| PNR - PIO | 72% Closely correlated | -2.32% | ||
| VLTO - PIO | 65% Loosely correlated | -1.45% | ||
| XYL - PIO | 64% Loosely correlated | -1.41% | ||
| FERG - PIO | 62% Loosely correlated | -0.41% | ||
| AOS - PIO | 62% Loosely correlated | -0.68% | ||
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