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ONEW vs SPWH
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 ONEW is a Hold and SPWH is a Hold.
ONEW | SPWH | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 56 | 90 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 30 Undervalued | 48 Fair valued | |
PROFIT vs RISK RATING 1..100 | 100 | 100 | |
SMR RATING 1..100 | 97 | 96 | |
PRICE GROWTH RATING 1..100 | 79 | 76 | |
P/E GROWTH RATING 1..100 | 14 | 2 | |
SEASONALITY SCORE 1..100 | 85 | 40 |
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.
ONEW's Valuation (30) in the null industry is in the same range as SPWH (48) in the Specialty Stores industry. This means that ONEW’s stock grew similarly to SPWH’s over the last 12 months.
ONEW's Profit vs Risk Rating (100) in the null industry is in the same range as SPWH (100) in the Specialty Stores industry. This means that ONEW’s stock grew similarly to SPWH’s over the last 12 months.
SPWH's SMR Rating (96) in the Specialty Stores industry is in the same range as ONEW (97) in the null industry. This means that SPWH’s stock grew similarly to ONEW’s over the last 12 months.
SPWH's Price Growth Rating (76) in the Specialty Stores industry is in the same range as ONEW (79) in the null industry. This means that SPWH’s stock grew similarly to ONEW’s over the last 12 months.
SPWH's P/E Growth Rating (2) in the Specialty Stores industry is in the same range as ONEW (14) in the null industry. This means that SPWH’s stock grew similarly to ONEW’s over the last 12 months.
| ONEW | SPWH | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 74% | 2 days ago 75% |
| Momentum ODDS (%) | 2 days ago 79% | 2 days ago 88% |
| MACD ODDS (%) | 2 days ago 83% | 2 days ago 84% |
| TrendWeek ODDS (%) | 2 days ago 81% | 2 days ago 85% |
| TrendMonth ODDS (%) | 2 days ago 81% | 2 days ago 86% |
| Advances ODDS (%) | 11 days ago 78% | 11 days ago 72% |
| Declines ODDS (%) | 3 days ago 83% | 4 days ago 83% |
| BollingerBands ODDS (%) | 2 days ago 73% | 2 days ago 89% |
| Aroon ODDS (%) | 2 days ago 76% | N/A |
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 overvalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
ONEW’s FA Score shows that 2 FA rating(s) are green while SPWH’s FA Score has 1 green FA rating(s).
- ONEW’s FA Score: 2 green, 3 red.
- SPWH’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.
ONEW’s TA Score shows that 6 TA indicator(s) are bullish while SPWH’s TA Score has 2 bullish TA indicator(s).
- ONEW’s TA Score: 6 bullish, 3 bearish.
- SPWH’s TA Score: 2 bullish, 7 bearish.
Price Growth
ONEW (@Specialty Stores) experienced а -2.53% price change this week, while SPWH (@Specialty Stores) price change was -5.13% for the same time period.
The average weekly price growth across all stocks in the @Specialty Stores industry was -0.08%. For the same industry, the average monthly price growth was -1.85%, and the average quarterly price growth was +6.19%.
Reported Earning Dates
ONEW is expected to report earnings on Nov 12, 2026.
SPWH is expected to report earnings on Dec 09, 2026.
Industries' Descriptions
@Specialty Stores (-0.08% weekly)The specialty stores sector includes companies dedicated to the sale of retail products focused on a single product category, such as clothing, carpet, books, or office supplies. A specialty store could face intense competition from big-box departmental chains, and therefore offering an adequate collection of the product type it specializes in is key in maintaining/growing its market.
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| MGMT | 48.97 | 0.46 | +0.95% |
| Ballast Small/Mid Cap ETF (MGMT) | |||
| FV | 73.77 | 0.38 | +0.51% |
| First Trust Dorsey Wright Focus 5 ETF (FV) | |||
| MTUL | 58.08 | N/A | N/A |
| ETRACS 2x Leveraged MSCI US Momentum Factor TR ETN (MTUL) | |||
| SPIN | 33.44 | -0.04 | -0.13% |
| State Street US Equity Premium Income ETF (SPIN) | |||
| HYBL | 27.40 | -0.17 | -0.62% |
| State Street Blackstone High Income ETF (HYBL) | |||
ONEW and
Correlation & Price change
A.I.dvisor indicates that over the last year, ONEW has been loosely correlated with AN. These tickers have moved in lockstep 55% of the time. This A.I.-generated data suggests there is some statistical probability that if ONEW jumps, then AN could also see price increases.
| Ticker / NAME | Correlation To ONEW | 1D Price Change % | ||
|---|---|---|---|---|
| ONEW | 100% | +1.26% | ||
| AN - ONEW | 55% Loosely correlated | +4.80% | ||
| RUSHA - ONEW | 54% Loosely correlated | +0.83% | ||
| ABG - ONEW | 54% Loosely correlated | +3.58% | ||
| FND - ONEW | 51% Loosely correlated | +0.48% | ||
| PAG - ONEW | 51% Loosely correlated | +1.25% | ||
More | ||||
SPWH and
Correlation & Price change
A.I.dvisor indicates that over the last year, SPWH has been loosely correlated with LE. These tickers have moved in lockstep 46% of the time. This A.I.-generated data suggests there is some statistical probability that if SPWH jumps, then LE could also see price increases.
| Ticker / NAME | Correlation To SPWH | 1D Price Change % | ||
|---|---|---|---|---|
| SPWH | 100% | -1.77% | ||
| LE - SPWH | 46% Loosely correlated | +2.04% | ||
| HNST - SPWH | 43% Loosely correlated | -2.14% | ||
| CPRT - SPWH | 39% Loosely correlated | +0.04% | ||
| CWH - SPWH | 32% Poorly correlated | -0.20% | ||
| ONEW - SPWH | 29% Poorly correlated | +1.26% | ||
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