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).
PFTA’s FA Score shows that 1 FA rating(s) are green while.
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.
PFTA’s TA Score shows that 1 TA indicator(s) are bullish.
PFTA (@Financial Conglomerates) experienced а 0.00% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Financial Conglomerates industry was -0.30%. For the same industry, the average monthly price growth was +5.14%, and the average quarterly price growth was +30.89%.
PFTA is expected to report earnings on Mar 13, 2023.
Financial conglomerates usually encompass a wide range of financial services including (not necessarily limited to) investment banking, insurance, capital raising/underwriting, trading of financial securities, investment advisory services, wealth management of high net-worth individuals, and retail banking. Think Citigroup, American Express Company, ING Group.
PFTA | SPCX | |
---|---|---|
RSI ODDS (%) | N/A | N/A |
Stochastic ODDS (%) | 2 days ago19% | 2 days ago76% |
Momentum ODDS (%) | 2 days ago7% | 2 days ago80% |
MACD ODDS (%) | 2 days ago4% | 2 days ago49% |
TrendWeek ODDS (%) | 2 days ago17% | 2 days ago72% |
TrendMonth ODDS (%) | 2 days ago7% | 2 days ago71% |
Advances ODDS (%) | N/A | 7 days ago46% |
Declines ODDS (%) | N/A | 2 days ago75% |
BollingerBands ODDS (%) | N/A | 2 days ago76% |
Aroon ODDS (%) | N/A | N/A |
A.I.dvisor indicates that over the last year, PFTA has been loosely correlated with BRKH. These tickers have moved in lockstep 59% of the time. This A.I.-generated data suggests there is some statistical probability that if PFTA jumps, then BRKH could also see price increases.
Ticker / NAME | Correlation To PFTA | 1D Price Change % | ||
---|---|---|---|---|
PFTA | 100% | N/A | ||
BRKH - PFTA | 59% Loosely correlated | +0.52% | ||
GLLI - PFTA | 39% Loosely correlated | +0.37% | ||
IVCPU - PFTA | 37% Loosely correlated | N/A | ||
EVE - PFTA | 34% Loosely correlated | N/A | ||
BYNO - PFTA | 28% Poorly correlated | -0.04% | ||
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A.I.dvisor tells us that SPCX and ECDA have been poorly correlated (+11% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that SPCX and ECDA's prices will move in lockstep.
Ticker / NAME | Correlation To SPCX | 1D Price Change % | ||
---|---|---|---|---|
SPCX | 100% | -0.51% | ||
ECDA - SPCX | 11% Poorly correlated | +0.22% | ||
TRUG - SPCX | 10% Poorly correlated | -22.12% | ||
BLEU - SPCX | 9% Poorly correlated | N/A | ||
HAIA - SPCX | 9% Poorly correlated | N/A | ||
PFTA - SPCX | 9% Poorly correlated | N/A | ||
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