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).
ATER’s FA Score shows that 0 FA rating(s) are green whileSOFI’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.
ATER’s TA Score shows that 6 TA indicator(s) are bullish while SOFI’s TA Score has 4 bullish TA indicator(s).
ATER (@Home Furnishings) experienced а -7.04% price change this week, while SOFI (@Savings Banks) price change was +2.08% for the same time period.
The average weekly price growth across all stocks in the @Home Furnishings industry was -0.33%. For the same industry, the average monthly price growth was +4.66%, and the average quarterly price growth was -1.00%.
The average weekly price growth across all stocks in the @Savings Banks industry was +0.51%. For the same industry, the average monthly price growth was +4.11%, and the average quarterly price growth was +18.89%.
SOFI is expected to report earnings on Nov 04, 2025.
The home furnishings industry includes companies that sell items like furniture, appliances, rugs, cooking utensils, and art objects. According to Mordor Intelligence, the U.S. home decor market is estimated to grow at CAGR 7.5% between 2019 and 2024. The market is being increasingly penetrated by e-commerce and m-commerce, while growing urbanization, and, consumers’ rising interest towards home decor are driving demand for the industry. Mohawk Industries, Inc., La-Z-Boy Incorporated, Leggett & Platt, Incorporated are some of the prominent companies in this space. Being usually discretionary for consumers, demand for furnishings could be affected by macroeconomic cycles.
@Savings Banks (+0.51% weekly)A savings bank primary function is to take deposits and paying interest on those deposits. Originating in Europe during the 18th century, these banks were generally introduced to incentivize people of all stripes to save money and park them with banks. By the 1990s, the internet ushered in online savings banks that allowed savers to deposit/transact with banks digitally, without requiring to visit a branch office. Savings banks have potentially encouraged lower-income population to save and have access to a financial institution to earn interest on their money. New York Community Bancorp, Inc, Webster Financial Corporation, Washington Federal, Inc. are examples of savings banks.
ATER | SOFI | ATER / SOFI | |
Capitalization | 9.65M | 30.6B | 0% |
EBITDA | -9.47M | N/A | - |
Gain YTD | -59.717 | 65.844 | -91% |
P/E Ratio | N/A | 51.08 | - |
Revenue | 85.7M | 3.06B | 3% |
Total Cash | 10.5M | N/A | - |
Total Debt | 7.61M | 4.04B | 0% |
ATER | ||
---|---|---|
OUTLOOK RATING 1..100 | 5 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 48 Fair valued | |
PROFIT vs RISK RATING 1..100 | 100 | |
SMR RATING 1..100 | 97 | |
PRICE GROWTH RATING 1..100 | 94 | |
P/E GROWTH RATING 1..100 | 100 | |
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.
ATER | SOFI | |
---|---|---|
RSI ODDS (%) | 3 days ago89% | 3 days ago87% |
Stochastic ODDS (%) | 3 days ago83% | 3 days ago86% |
Momentum ODDS (%) | 3 days ago82% | 3 days ago86% |
MACD ODDS (%) | 3 days ago89% | 3 days ago82% |
TrendWeek ODDS (%) | 3 days ago89% | 3 days ago83% |
TrendMonth ODDS (%) | 3 days ago89% | 3 days ago83% |
Advances ODDS (%) | 10 days ago84% | 7 days ago85% |
Declines ODDS (%) | 5 days ago90% | 5 days ago82% |
BollingerBands ODDS (%) | 3 days ago81% | 3 days ago73% |
Aroon ODDS (%) | 3 days ago90% | 3 days ago86% |
1 Day | |||
---|---|---|---|
ETFs / NAME | Price $ | Chg $ | Chg % |
DFVX | 71.40 | -0.23 | -0.32% |
Dimensional US Large Cap Vector ETF | |||
QLVE | 27.92 | -0.12 | -0.44% |
FlexShares EMs Quality Lw Vol ETF | |||
MSSM | 49.90 | -0.37 | -0.73% |
Morgan Stanley Pathway Sm-Md Cp Eq ETF | |||
ACES | 29.47 | -0.34 | -1.14% |
ALPS Clean Energy ETF | |||
MAGS | 59.79 | -0.84 | -1.39% |
Roundhill Magnificent Seven ETF |
A.I.dvisor tells us that ATER and MLKN have been poorly correlated (+31% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that ATER and MLKN's prices will move in lockstep.
Ticker / NAME | Correlation To ATER | 1D Price Change % | ||
---|---|---|---|---|
ATER | 100% | -4.28% | ||
MLKN - ATER | 31% Poorly correlated | +0.18% | ||
ETD - ATER | 30% Poorly correlated | -0.14% | ||
HNI - ATER | 29% Poorly correlated | -0.18% | ||
SN - ATER | 28% Poorly correlated | +0.61% | ||
MBC - ATER | 28% Poorly correlated | -0.70% | ||
More |
A.I.dvisor indicates that over the last year, SOFI has been closely correlated with OMF. These tickers have moved in lockstep 66% of the time. This A.I.-generated data suggests there is a high statistical probability that if SOFI jumps, then OMF could also see price increases.
Ticker / NAME | Correlation To SOFI | 1D Price Change % | ||
---|---|---|---|---|
SOFI | 100% | -1.92% | ||
OMF - SOFI | 66% Closely correlated | +0.44% | ||
AXP - SOFI | 66% Closely correlated | +1.31% | ||
ENVA - SOFI | 64% Loosely correlated | -0.37% | ||
AL - SOFI | 62% Loosely correlated | -0.74% | ||
SYF - SOFI | 61% Loosely correlated | -0.31% | ||
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