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).
SLQT’s FA Score shows that 0 FA rating(s) are green whileWTW’s FA Score has 2 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.
SLQT’s TA Score shows that 5 TA indicator(s) are bullish while WTW’s TA Score has 4 bullish TA indicator(s).
SLQT (@Insurance Brokers/Services) experienced а +8.97% price change this week, while WTW (@Insurance Brokers/Services) price change was -0.14% for the same time period.
The average weekly price growth across all stocks in the @Insurance Brokers/Services industry was -3.30%. For the same industry, the average monthly price growth was +0.75%, and the average quarterly price growth was +0.21%.
SLQT is expected to report earnings on Feb 10, 2025.
WTW is expected to report earnings on Feb 06, 2025.
Insurance brokers sell, solicit, or negotiate insurance for compensation. General insurance brokers mostly cater to insurances on car, house etc. (versus life). Brokers are also often instrumental in helping small employers find health insurance, particularly in more competitive markets. Additionally, brokers may also provide risk assessments, insurance consulting services, insurance-related regulatory and legislative update services. Some of the major names in this industry include Marsh & McLennan Companies, Inc., Aon plc and Verisk Analytics Inc.
SLQT | WTW | SLQT / WTW | |
Capitalization | 338M | 28B | 1% |
EBITDA | 56.5M | 2.02B | 3% |
Gain YTD | 86.131 | 32.639 | 264% |
P/E Ratio | 6.88 | 27.48 | 25% |
Revenue | 1.16B | 9.48B | 12% |
Total Cash | 10.8M | 1.42B | 1% |
Total Debt | 724M | 5.94B | 12% |
WTW | ||
---|---|---|
OUTLOOK RATING 1..100 | 19 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 86 Overvalued | |
PROFIT vs RISK RATING 1..100 | 15 | |
SMR RATING 1..100 | 92 | |
PRICE GROWTH RATING 1..100 | 20 | |
P/E GROWTH RATING 1..100 | 36 | |
SEASONALITY SCORE 1..100 | 65 |
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.
SLQT | WTW | |
---|---|---|
RSI ODDS (%) | 2 days ago90% | 2 days ago49% |
Stochastic ODDS (%) | 2 days ago90% | 2 days ago49% |
Momentum ODDS (%) | 2 days ago75% | 2 days ago57% |
MACD ODDS (%) | N/A | 2 days ago55% |
TrendWeek ODDS (%) | 2 days ago79% | 2 days ago49% |
TrendMonth ODDS (%) | 2 days ago83% | 2 days ago50% |
Advances ODDS (%) | 2 days ago80% | 9 days ago0% |
Declines ODDS (%) | N/A | N/A |
BollingerBands ODDS (%) | 2 days ago90% | 2 days ago62% |
Aroon ODDS (%) | 2 days ago90% | 2 days ago48% |
A.I.dvisor tells us that SLQT and EHTH have been poorly correlated (+33% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that SLQT and EHTH's prices will move in lockstep.
Ticker / NAME | Correlation To SLQT | 1D Price Change % | ||
---|---|---|---|---|
SLQT | 100% | +3.24% | ||
EHTH - SLQT | 33% Poorly correlated | -3.95% | ||
CRVL - SLQT | 29% Poorly correlated | -1.12% | ||
BRO - SLQT | 27% Poorly correlated | -0.45% | ||
WTW - SLQT | 22% Poorly correlated | -0.17% | ||
GOCO - SLQT | 21% Poorly correlated | -2.36% | ||
More |
A.I.dvisor indicates that over the last year, WTW has been loosely correlated with BRO. These tickers have moved in lockstep 57% of the time. This A.I.-generated data suggests there is some statistical probability that if WTW jumps, then BRO could also see price increases.