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).
ARCB’s FA Score shows that 1 FA rating(s) are green whileRXO’s FA Score has 1 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.
ARCB’s TA Score shows that 5 TA indicator(s) are bullish while RXO’s TA Score has 3 bullish TA indicator(s).
ARCB (@Trucking) experienced а -1.10% price change this week, while RXO (@Trucking) price change was -4.25% for the same time period.
The average weekly price growth across all stocks in the @Trucking industry was -3.56%. For the same industry, the average monthly price growth was +4.75%, and the average quarterly price growth was +0.29%.
ARCB is expected to report earnings on Feb 04, 2025.
RXO is expected to report earnings on Feb 05, 2025.
The trucking industry provides road transportation delivery and logistical services, including moving large quantities of raw materials, works in process, and finished goods —often from manufacturing plants to retail distribution centers. Trucks are also used in the construction industry, as they transport large amounts of rocks, concrete, and other building materials used in construction. Trucks in the U.S. are responsible for the majority of freight movement over land, and therefore play an important role in the manufacturing, transportation, and warehousing industries. The business could be affected by economic cycles, since it is closely linked with manufacturing, retail and construction. Some of the major trucking companies in the U.S. are Old Dominion Freight Line, Inc., J.B. Hunt Transport Services, Inc., and XPO Logistics, Inc.
ARCB | RXO | ARCB / RXO | |
Capitalization | 2.61B | 4.42B | 59% |
EBITDA | N/A | N/A | - |
Gain YTD | -6.866 | 18.186 | -38% |
P/E Ratio | 13.89 | 670.67 | 2% |
Revenue | N/A | N/A | - |
Total Cash | 127M | N/A | - |
Total Debt | 422M | N/A | - |
ARCB | ||
---|---|---|
OUTLOOK RATING 1..100 | 15 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 51 Fair valued | |
PROFIT vs RISK RATING 1..100 | 20 | |
SMR RATING 1..100 | 56 | |
PRICE GROWTH RATING 1..100 | 52 | |
P/E GROWTH RATING 1..100 | 91 | |
SEASONALITY SCORE 1..100 | n/a |
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.
ARCB | RXO | |
---|---|---|
RSI ODDS (%) | 2 days ago79% | 2 days ago88% |
Stochastic ODDS (%) | 2 days ago74% | 2 days ago68% |
Momentum ODDS (%) | 2 days ago80% | 2 days ago80% |
MACD ODDS (%) | 2 days ago81% | 2 days ago76% |
TrendWeek ODDS (%) | 2 days ago69% | 2 days ago71% |
TrendMonth ODDS (%) | 2 days ago79% | 2 days ago67% |
Advances ODDS (%) | 5 days ago78% | 10 days ago0% |
Declines ODDS (%) | 2 days ago72% | 4 days ago71% |
BollingerBands ODDS (%) | 2 days ago66% | 2 days ago50% |
Aroon ODDS (%) | 2 days ago68% | 2 days ago64% |
A.I.dvisor indicates that over the last year, ARCB has been closely correlated with ODFL. These tickers have moved in lockstep 73% of the time. This A.I.-generated data suggests there is a high statistical probability that if ARCB jumps, then ODFL could also see price increases.
Ticker / NAME | Correlation To ARCB | 1D Price Change % | ||
---|---|---|---|---|
ARCB | 100% | -1.21% | ||
ODFL - ARCB | 73% Closely correlated | -0.96% | ||
TFII - ARCB | 64% Loosely correlated | -1.16% | ||
CVLG - ARCB | 61% Loosely correlated | -1.95% | ||
SNDR - ARCB | 55% Loosely correlated | -2.21% | ||
KNX - ARCB | 54% Loosely correlated | -2.08% | ||
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A.I.dvisor indicates that over the last year, RXO has been loosely correlated with XPO. These tickers have moved in lockstep 41% of the time. This A.I.-generated data suggests there is some statistical probability that if RXO jumps, then XPO could also see price increases.
Ticker / NAME | Correlation To RXO | 1D Price Change % | ||
---|---|---|---|---|
RXO | 100% | -1.26% | ||
XPO - RXO | 41% Loosely correlated | -0.39% | ||
SAIA - RXO | 35% Loosely correlated | +0.95% | ||
MRTN - RXO | 33% Loosely correlated | -2.38% | ||
PTSI - RXO | 33% Poorly correlated | N/A | ||
ARCB - RXO | 31% Poorly correlated | -1.21% | ||
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