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).
EBAY’s FA Score shows that 1 FA rating(s) are green whileHTLD’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.
EBAY’s TA Score shows that 5 TA indicator(s) are bullish while HTLD’s TA Score has 3 bullish TA indicator(s).
EBAY (@Internet Retail) experienced а +2.51% price change this week, while HTLD (@Trucking) price change was -4.97% for the same time period.
The average weekly price growth across all stocks in the @Internet Retail industry was +35.10%. For the same industry, the average monthly price growth was +123.65%, and the average quarterly price growth was +111.70%.
The average weekly price growth across all stocks in the @Trucking industry was -3.16%. For the same industry, the average monthly price growth was -0.50%, and the average quarterly price growth was -2.76%.
EBAY is expected to report earnings on Oct 29, 2025.
HTLD is expected to report earnings on Oct 29, 2025.
The internet retail industry includes companies that sell products and services through the Internet. With more and more consumers using online retailers, the companies have seen a big increase in the use of their services. Some of the companies in the group are focused on selling business-to-business products and services. Others sell business-to-consumer products and services. Internet retailers offer a wide variety of products like books, apparel, and electronics. Some companies even specialize in only one or two categories. One potentially critical factor for players to thrive in this space is the quality and speed of product delivery. This requires an investment in efficient distribution networks. Things like logistics are important factors in the success in the extremely competitive industry. For a company to stay relevant in the industry it must have effective pricing strategies and upgraded websites. The websites must be easy to navigate and engaging for customers. In addition to the revenues generated from straight sales, internet retailers can generate revenue from subscription fees and advertising. Amazon.com, Inc., Alibaba Group, and JD.com are some of the global leaders.
@Trucking (-3.16% 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.
EBAY | HTLD | EBAY / HTLD | |
Capitalization | 35.6B | 690M | 5,159% |
EBITDA | 2.96B | 157M | 1,883% |
Gain YTD | 25.715 | -21.311 | -121% |
P/E Ratio | 18.56 | 52.32 | 35% |
Revenue | 10.3B | 997M | 1,033% |
Total Cash | 4.79B | N/A | - |
Total Debt | 7.18B | 206M | 3,484% |
EBAY | HTLD | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 69 | 4 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 77 Overvalued | 50 Fair valued | |
PROFIT vs RISK RATING 1..100 | 48 | 100 | |
SMR RATING 1..100 | 27 | 100 | |
PRICE GROWTH RATING 1..100 | 45 | 60 | |
P/E GROWTH RATING 1..100 | 11 | 100 | |
SEASONALITY SCORE 1..100 | n/a | 50 |
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.
HTLD's Valuation (50) in the Trucking industry is in the same range as EBAY (77) in the Other Consumer Services industry. This means that HTLD’s stock grew similarly to EBAY’s over the last 12 months.
EBAY's Profit vs Risk Rating (48) in the Other Consumer Services industry is somewhat better than the same rating for HTLD (100) in the Trucking industry. This means that EBAY’s stock grew somewhat faster than HTLD’s over the last 12 months.
EBAY's SMR Rating (27) in the Other Consumer Services industry is significantly better than the same rating for HTLD (100) in the Trucking industry. This means that EBAY’s stock grew significantly faster than HTLD’s over the last 12 months.
EBAY's Price Growth Rating (45) in the Other Consumer Services industry is in the same range as HTLD (60) in the Trucking industry. This means that EBAY’s stock grew similarly to HTLD’s over the last 12 months.
EBAY's P/E Growth Rating (11) in the Other Consumer Services industry is significantly better than the same rating for HTLD (100) in the Trucking industry. This means that EBAY’s stock grew significantly faster than HTLD’s over the last 12 months.
EBAY | HTLD | |
---|---|---|
RSI ODDS (%) | 2 days ago66% | 1 day ago89% |
Stochastic ODDS (%) | 2 days ago55% | 1 day ago75% |
Momentum ODDS (%) | 2 days ago66% | 1 day ago60% |
MACD ODDS (%) | 2 days ago77% | 1 day ago58% |
TrendWeek ODDS (%) | 2 days ago67% | 1 day ago67% |
TrendMonth ODDS (%) | 2 days ago56% | 1 day ago53% |
Advances ODDS (%) | 6 days ago67% | 6 days ago52% |
Declines ODDS (%) | 8 days ago60% | 1 day ago69% |
BollingerBands ODDS (%) | 2 days ago81% | 1 day ago81% |
Aroon ODDS (%) | 2 days ago63% | 1 day ago74% |
A.I.dvisor indicates that over the last year, EBAY has been loosely correlated with CVNA. These tickers have moved in lockstep 44% of the time. This A.I.-generated data suggests there is some statistical probability that if EBAY jumps, then CVNA could also see price increases.
Ticker / NAME | Correlation To EBAY | 1D Price Change % | ||
---|---|---|---|---|
EBAY | 100% | -0.53% | ||
CVNA - EBAY | 44% Loosely correlated | +0.31% | ||
ZLNDY - EBAY | 32% Poorly correlated | +0.25% | ||
CPNG - EBAY | 28% Poorly correlated | +1.70% | ||
CART - EBAY | 27% Poorly correlated | +1.37% | ||
BABA - EBAY | 27% Poorly correlated | +8.09% | ||
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A.I.dvisor indicates that over the last year, HTLD has been closely correlated with MRTN. These tickers have moved in lockstep 75% of the time. This A.I.-generated data suggests there is a high statistical probability that if HTLD jumps, then MRTN could also see price increases.
Ticker / NAME | Correlation To HTLD | 1D Price Change % | ||
---|---|---|---|---|
HTLD | 100% | -2.87% | ||
MRTN - HTLD | 75% Closely correlated | -2.60% | ||
WERN - HTLD | 75% Closely correlated | -2.86% | ||
CVLG - HTLD | 74% Closely correlated | -3.52% | ||
SNDR - HTLD | 71% Closely correlated | -3.13% | ||
KNX - HTLD | 68% Closely correlated | -2.91% | ||
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