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DJT vs JFIN
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 DJT is a Hold and JFIN is a Hold.
| DJT | JFIN | DJT / JFIN | |
| Capitalization | 2.41B | 76.4M | 3,151% |
| EBITDA | -1.25B | 265M | -471% |
| Gain YTD | -34.592 | -75.172 | 46% |
| P/E Ratio | 145.56 | 2.08 | 7,012% |
| Revenue | 4.52M | 4.05B | 0% |
| Total Cash | 905M | 504M | 180% |
| Total Debt | 973M | 637M | 153% |
JFIN | ||
|---|---|---|
OUTLOOK RATING 1..100 | 50 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 13 Undervalued | |
PROFIT vs RISK RATING 1..100 | 100 | |
SMR RATING 1..100 | 77 | |
PRICE GROWTH RATING 1..100 | 95 | |
P/E GROWTH RATING 1..100 | 65 | |
SEASONALITY SCORE 1..100 | 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.
| DJT | JFIN | |
|---|---|---|
| RSI ODDS (%) | N/A | 2 days ago 89% |
| Stochastic ODDS (%) | 2 days ago 81% | 2 days ago 74% |
| Momentum ODDS (%) | 2 days ago 81% | 2 days ago 73% |
| MACD ODDS (%) | 2 days ago 81% | 2 days ago 84% |
| TrendWeek ODDS (%) | 2 days ago 82% | 2 days ago 80% |
| TrendMonth ODDS (%) | 2 days ago 80% | 2 days ago 78% |
| Advances ODDS (%) | 10 days ago 76% | 25 days ago 77% |
| Declines ODDS (%) | 26 days ago 80% | 3 days ago 81% |
| BollingerBands ODDS (%) | 2 days ago 83% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 63% | 2 days ago 81% |
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).
DJT’s FA Score shows that 1 FA rating(s) are green while JFIN’s FA Score has 1 green FA rating(s).
- DJT’s FA Score: 1 green, 4 red.
- JFIN’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.
DJT’s TA Score shows that 4 TA indicator(s) are bullish while JFIN’s TA Score has 4 bullish TA indicator(s).
- DJT’s TA Score: 4 bullish, 5 bearish.
- JFIN’s TA Score: 4 bullish, 4 bearish.
Price Growth
DJT (@Internet Software/Services) experienced а -3.99% price change this week, while JFIN (@Savings Banks) price change was -15.29% for the same time period.
The average weekly price growth across all stocks in the @Internet Software/Services industry was -2.63%. For the same industry, the average monthly price growth was -4.18%, and the average quarterly price growth was -3.90%.
The average weekly price growth across all stocks in the @Savings Banks industry was -2.79%. For the same industry, the average monthly price growth was -5.80%, and the average quarterly price growth was +9.53%.
Reported Earning Dates
JFIN is expected to report earnings on Nov 25, 2026.
Industries' Descriptions
@Internet Software/Services (-2.63% weekly)Companies in this industry typically license software on a subscription basis and it is centrally hosted. Such products usually go by the names web-based software, on-demand software and hosted software. Cloud computing has emerged as a major force in this space, making it possible to save files to a remote database (without requiring them to be saved on local storage device); as long as a device has access to the web, it can access the data and the software programs to run it. This has in many cases facilitated cost efficiency, speed and security of data for businesses and consumers. Alphabet Inc., Facebook, Inc. and Yahoo! Inc. are some well-known names in the internet software/services industry.
@Savings Banks (-2.79% 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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DJT and
Correlation & Price change
A.I.dvisor indicates that over the last year, DJT has been closely correlated with DJTWW. These tickers have moved in lockstep 78% of the time. This A.I.-generated data suggests there is a high statistical probability that if DJT jumps, then DJTWW could also see price increases.
| Ticker / NAME | Correlation To DJT | 1D Price Change % | ||
|---|---|---|---|---|
| DJT | 100% | -1.37% | ||
| DJTWW - DJT | 78% Closely correlated | -1.84% | ||
| UPXI - DJT | 40% Loosely correlated | +4.66% | ||
| RUM - DJT | 40% Loosely correlated | -2.65% | ||
| SNAP - DJT | 33% Poorly correlated | +2.90% | ||
| GENI - DJT | 32% Poorly correlated | +1.49% | ||
More | ||||
JFIN and
Correlation & Price change
A.I.dvisor indicates that over the last year, JFIN has been loosely correlated with QFIN. These tickers have moved in lockstep 35% of the time. This A.I.-generated data suggests there is some statistical probability that if JFIN jumps, then QFIN could also see price increases.
| Ticker / NAME | Correlation To JFIN | 1D Price Change % | ||
|---|---|---|---|---|
| JFIN | 100% | N/A | ||
| QFIN - JFIN | 35% Loosely correlated | N/A | ||
| LX - JFIN | 34% Loosely correlated | -0.37% | ||
| MOMO - JFIN | 30% Poorly correlated | -1.79% | ||
| DJT - JFIN | 28% Poorly correlated | -1.37% | ||
| WB - JFIN | 28% Poorly correlated | +0.30% | ||
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