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HAPN vs UPST
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 HAPN is a Hold and UPST is a Hold.
HAPN | ||
|---|---|---|
OUTLOOK RATING 1..100 | 69 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 97 Overvalued | |
PROFIT vs RISK RATING 1..100 | 100 | |
SMR RATING 1..100 | 14 | |
PRICE GROWTH RATING 1..100 | 64 | |
P/E GROWTH RATING 1..100 | 97 | |
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.
| HAPN | UPST | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 75% | 1 day ago 90% |
| Stochastic ODDS (%) | 1 day ago 71% | 1 day ago 83% |
| Momentum ODDS (%) | N/A | 3 days ago 87% |
| MACD ODDS (%) | N/A | 1 day ago 90% |
| TrendWeek ODDS (%) | 1 day ago 80% | 1 day ago 90% |
| TrendMonth ODDS (%) | 1 day ago 81% | 1 day ago 88% |
| Advances ODDS (%) | 11 days ago 78% | 10 days ago 85% |
| Declines ODDS (%) | 4 days ago 81% | 4 days ago 90% |
| BollingerBands ODDS (%) | 1 day ago 81% | 1 day ago 85% |
| Aroon ODDS (%) | 1 day ago 81% | 1 day ago 87% |
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).
HAPN’s FA Score shows that 1 FA rating(s) are green while UPST’s FA Score has 0 green FA rating(s).
- HAPN’s FA Score: 1 green, 4 red.
- UPST’s FA Score: 0 green, 5 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.
HAPN’s TA Score shows that 4 TA indicator(s) are bullish while UPST’s TA Score has 4 bullish TA indicator(s).
- HAPN’s TA Score: 4 bullish, 2 bearish.
- UPST’s TA Score: 4 bullish, 4 bearish.
Price Growth
HAPN (@Regional Banks) experienced а -2.44% price change this week, while UPST (@Savings Banks) price change was -5.97% for the same time period.
The average weekly price growth across all stocks in the @Regional Banks industry was -0.68%. For the same industry, the average monthly price growth was -1.35%, and the average quarterly price growth was +9.53%.
The average weekly price growth across all stocks in the @Savings Banks industry was -3.65%. For the same industry, the average monthly price growth was -5.96%, and the average quarterly price growth was +3.09%.
Reported Earning Dates
HAPN is expected to report earnings on Oct 28, 2026.
UPST is expected to report earnings on Nov 10, 2026.
Industries' Descriptions
@Regional Banks (-0.68% weekly)Regional banks have a smaller reach than major banks, and cater mostly to one region of a country, such as a state or within a group of states. They offer services often similar – albeit with some limitations/smaller scale – compared to major banks. Taking deposits, making loans, mortgages, leases, credit cards , fund management, insurance and investment banking. SunTrust Banks, State Street Corp., M&T Bank Corp. are some examples of U.S. regional banks.
@Savings Banks (-3.65% 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.
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| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| SDD | 9.50 | 0.10 | +1.06% |
| ProShares UltraShort SmallCap600 (SDD) | |||
| SQS | 28.17 | N/A | N/A |
| Sapient Quality Select ETF | |||
| NBFC | 49.28 | -0.03 | -0.05% |
| Neuberger Flexible Credit Income ETF (NBFC) | |||
| DEEP | 40.96 | -0.11 | -0.26% |
| Acquirers Small and Micro Deep Value ETF (DEEP) | |||
| INCE | 65.67 | -0.50 | -0.75% |
| Franklin Income Equity Focus ETF (INCE) | |||
HAPN and
Correlation & Price change
A.I.dvisor indicates that over the last year, HAPN has been loosely correlated with ASB. These tickers have moved in lockstep 62% of the time. This A.I.-generated data suggests there is some statistical probability that if HAPN jumps, then ASB could also see price increases.
| Ticker / NAME | Correlation To HAPN | 1D Price Change % | ||
|---|---|---|---|---|
| HAPN | 100% | -0.94% | ||
| ASB - HAPN | 62% Loosely correlated | -0.10% | ||
| ALLY - HAPN | 62% Loosely correlated | -0.50% | ||
| NAVI - HAPN | 58% Loosely correlated | N/A | ||
| SOFI - HAPN | 57% Loosely correlated | -1.19% | ||
| HRI - HAPN | 55% Loosely correlated | -1.92% | ||
More | ||||
UPST and
Correlation & Price change
A.I.dvisor indicates that over the last year, UPST has been closely correlated with AFRM. These tickers have moved in lockstep 73% of the time. This A.I.-generated data suggests there is a high statistical probability that if UPST jumps, then AFRM could also see price increases.
| Ticker / NAME | Correlation To UPST | 1D Price Change % | ||
|---|---|---|---|---|
| UPST | 100% | -0.65% | ||
| AFRM - UPST | 73% Closely correlated | -0.10% | ||
| SOFI - UPST | 69% Closely correlated | -1.19% | ||
| OMF - UPST | 54% Loosely correlated | -1.70% | ||
| HAPN - UPST | 54% Loosely correlated | -0.94% | ||
| COF - UPST | 52% Loosely correlated | -1.73% | ||
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