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TW vs WBIG
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 TW is a Buy and WBIG is a StrongBuy.
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 undervalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
TW’s FA Score shows that 0 FA rating(s) are green while.
- TW’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.
TW’s TA Score shows that 5 TA indicator(s) are bullish.
- TW’s TA Score: 5 bullish, 2 bearish.
Price Growth
TW (@Investment Banks/Brokers) experienced а +2.95% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Investment Banks/Brokers industry was -4.68%. For the same industry, the average monthly price growth was -5.84%, and the average quarterly price growth was +22.95%.
Reported Earning Dates
TW is expected to report earnings on Jan 29, 2026.
Industries' Descriptions
@Investment Banks/Brokers (-4.68% weekly)These banks specialize in underwriting (helping companies with debt financing or equity issuances), IPOs, facilitating mergers and other corporate reorganizations and acting as a broker or financial advisor for institutions. They might also trade securities on their own accounts. Investment banks potentially thrive on expanding its network of clients, since that could help them increase profits. Goldman Sachs, Morgan Stanley and CME Group Inc are some of the largest investment banking companies.
TW | ||
|---|---|---|
OUTLOOK RATING 1..100 | 4 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 97 Overvalued | |
PROFIT vs RISK RATING 1..100 | 43 | |
SMR RATING 1..100 | 72 | |
PRICE GROWTH RATING 1..100 | 63 | |
P/E GROWTH RATING 1..100 | 88 | |
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.
| TW | WBIG | |
|---|---|---|
| RSI ODDS (%) | 8 days ago 86% | 4 days ago 66% |
| Stochastic ODDS (%) | 3 days ago 55% | 3 days ago 74% |
| Momentum ODDS (%) | 3 days ago 73% | 3 days ago 76% |
| MACD ODDS (%) | 3 days ago 62% | 3 days ago 72% |
| TrendWeek ODDS (%) | 3 days ago 66% | 3 days ago 76% |
| TrendMonth ODDS (%) | 3 days ago 62% | 3 days ago 72% |
| Advances ODDS (%) | 4 days ago 62% | 3 days ago 76% |
| Declines ODDS (%) | 10 days ago 58% | 24 days ago 69% |
| BollingerBands ODDS (%) | 3 days ago 67% | N/A |
| Aroon ODDS (%) | 3 days ago 57% | 3 days ago 72% |
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TW and
Correlation & Price change
A.I.dvisor indicates that over the last year, TW has been loosely correlated with ICE. These tickers have moved in lockstep 51% of the time. This A.I.-generated data suggests there is some statistical probability that if TW jumps, then ICE could also see price increases.
WBIG and
Correlation & Price change
A.I.dvisor indicates that over the last year, WBIG has been closely correlated with OMF. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if WBIG jumps, then OMF could also see price increases.
| Ticker / NAME | Correlation To WBIG | 1D Price Change % | ||
|---|---|---|---|---|
| WBIG | 100% | +0.34% | ||
| OMF - WBIG | 70% Closely correlated | +1.05% | ||
| OBDC - WBIG | 61% Loosely correlated | +0.25% | ||
| CARR - WBIG | 56% Loosely correlated | -1.72% | ||
| VTRS - WBIG | 43% Loosely correlated | -1.70% | ||
| TW - WBIG | 31% Poorly correlated | -0.40% | ||
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