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ARCB vs TPOR
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 ARCB is a StrongBuy and TPOR is a Buy.
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).
ARCB’s FA Score shows that 1 FA rating(s) are green while.
- ARCB’s FA Score: 1 green, 4 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.
ARCB’s TA Score shows that 4 TA indicator(s) are bullish.
- ARCB’s TA Score: 4 bullish, 3 bearish.
Price Growth
ARCB (@Trucking) experienced а +11.57% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Trucking industry was +3.18%. For the same industry, the average monthly price growth was +31.07%, and the average quarterly price growth was +53.95%.
Reported Earning Dates
ARCB is expected to report earnings on Aug 05, 2026.
Industries' Descriptions
@Trucking (+3.18% weekly)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 | ||
|---|---|---|
OUTLOOK RATING 1..100 | 46 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 68 Overvalued | |
PROFIT vs RISK RATING 1..100 | 49 | |
SMR RATING 1..100 | 87 | |
PRICE GROWTH RATING 1..100 | 35 | |
P/E GROWTH RATING 1..100 | 2 | |
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.
| ARCB | TPOR | |
|---|---|---|
| RSI ODDS (%) | 4 days ago 77% | 4 days ago 90% |
| Stochastic ODDS (%) | 4 days ago 74% | 4 days ago 90% |
| Momentum ODDS (%) | 4 days ago 81% | 4 days ago 89% |
| MACD ODDS (%) | 4 days ago 79% | 4 days ago 90% |
| TrendWeek ODDS (%) | 4 days ago 75% | 4 days ago 90% |
| TrendMonth ODDS (%) | 4 days ago 74% | 4 days ago 90% |
| Advances ODDS (%) | 4 days ago 73% | 4 days ago 90% |
| Declines ODDS (%) | N/A | 13 days ago 90% |
| BollingerBands ODDS (%) | 4 days ago 79% | 4 days ago 90% |
| Aroon ODDS (%) | 4 days ago 75% | 4 days ago 88% |
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TPOR and
Correlation & Price change
A.I.dvisor indicates that over the last year, TPOR has been closely correlated with SAIA. These tickers have moved in lockstep 75% of the time. This A.I.-generated data suggests there is a high statistical probability that if TPOR jumps, then SAIA could also see price increases.
| Ticker / NAME | Correlation To TPOR | 1D Price Change % | ||
|---|---|---|---|---|
| TPOR | 100% | +2.38% | ||
| SAIA - TPOR | 75% Closely correlated | -0.88% | ||
| ODFL - TPOR | 72% Closely correlated | -0.81% | ||
| XPO - TPOR | 72% Closely correlated | +0.30% | ||
| ARCB - TPOR | 72% Closely correlated | +0.21% | ||
| FDX - TPOR | 71% Closely correlated | +0.09% | ||
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