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).
IGGHY’s FA Score shows that 3 FA rating(s) are green whilePWP’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.
PWP’s TA Score shows that 4 TA indicator(s) are bullish.
IGGHY (@Investment Banks/Brokers) experienced а -0.15% price change this week, while PWP (@Investment Banks/Brokers) price change was +3.36% for the same time period.
The average weekly price growth across all stocks in the @Investment Banks/Brokers industry was -1.31%. For the same industry, the average monthly price growth was +11.59%, and the average quarterly price growth was +22.68%.
PWP is expected to report earnings on Feb 06, 2025.
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.
IGGHY | PWP | IGGHY / PWP | |
Capitalization | 3.69B | 728M | 506% |
EBITDA | 552M | -97.87M | -564% |
Gain YTD | 23.592 | 109.321 | 22% |
P/E Ratio | 8.27 | N/A | - |
Revenue | 1B | 649M | 155% |
Total Cash | 1B | 338M | 297% |
Total Debt | 316M | 176M | 180% |
IGGHY | ||
---|---|---|
OUTLOOK RATING 1..100 | 50 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 13 Undervalued | |
PROFIT vs RISK RATING 1..100 | 29 | |
SMR RATING 1..100 | 19 | |
PRICE GROWTH RATING 1..100 | 45 | |
P/E GROWTH RATING 1..100 | 49 | |
SEASONALITY SCORE 1..100 | 75 |
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.
PWP | |
---|---|
RSI ODDS (%) | 4 days ago67% |
Stochastic ODDS (%) | 4 days ago63% |
Momentum ODDS (%) | 4 days ago73% |
MACD ODDS (%) | 4 days ago64% |
TrendWeek ODDS (%) | 4 days ago76% |
TrendMonth ODDS (%) | 4 days ago73% |
Advances ODDS (%) | 5 days ago76% |
Declines ODDS (%) | 19 days ago68% |
BollingerBands ODDS (%) | 4 days ago50% |
Aroon ODDS (%) | 4 days ago80% |
A.I.dvisor tells us that IGGHY and MCO have been poorly correlated (+21% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that IGGHY and MCO's prices will move in lockstep.
Ticker / NAME | Correlation To IGGHY | 1D Price Change % | ||
---|---|---|---|---|
IGGHY | 100% | N/A | ||
MCO - IGGHY | 21% Poorly correlated | -1.82% | ||
PWP - IGGHY | 17% Poorly correlated | -1.87% | ||
LNSTY - IGGHY | 13% Poorly correlated | -0.21% | ||
PIPR - IGGHY | 11% Poorly correlated | +1.42% | ||
SPXCY - IGGHY | 7% Poorly correlated | -3.73% | ||
More |
A.I.dvisor indicates that over the last year, PWP has been closely correlated with MC. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if PWP jumps, then MC could also see price increases.