CLILF vs FPH
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 CLILF is a Hold and FPH is a Sell.
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).
CLILF’s FA Score shows that 1 FA rating(s) are green whileFPH’s FA Score has 0 green FA rating(s).
- CLILF’s FA Score: 1 green, 4 red.
- FPH’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.
FPH’s TA Score shows that 1 TA indicator(s) are bullish.
- FPH’s TA Score: 1 bullish, 4 bearish.
Price Growth
CLILF (@Real Estate Development) experienced а 0.00% price change this week, while FPH (@Real Estate Development) price change was +4.00% for the same time period.
The average weekly price growth across all stocks in the @Real Estate Development industry was -1.07%. For the same industry, the average monthly price growth was -3.02%, and the average quarterly price growth was +8.82%.
Reported Earning Dates
FPH is expected to report earnings on Oct 17, 2024.
Industries' Descriptions
@Real Estate Development (-1.07% weekly)Activities range from the renovation and re-lease of existing buildings to the purchase of raw land and the sale of developed land or parcels to others. Demand for land development business is driven by GDP growth, employment rates, interest rates, and access to/cost of capital. For individual companies in this industry, proper cost estimation and successful bidding play critical roles in their profitability. Large companies could potentially have greater access to capital, while smaller companies can specialize in a specific geographic area or market niche. CBRE Group, VICI Properties Inc and Brookfield Property Partners L.P. are some of the large companies in this industry.
| CLILF | FPH | CLILF / FPH | |
| Capitalization | 13.2B | 218M | 6,055% |
| EBITDA | 1.96B | 46.1M | 4,249% |
| Gain YTD | -9.722 | 27.036 | -36% |
| P/E Ratio | 22.52 | 4.16 | 542% |
| Revenue | 2.88B | 212M | 1,357% |
| Total Cash | N/A | 354M | - |
| Total Debt | N/A | 633M | - |
FPH | ||
|---|---|---|
OUTLOOK RATING 1..100 | 63 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 92 Overvalued | |
PROFIT vs RISK RATING 1..100 | 100 | |
SMR RATING 1..100 | 79 | |
PRICE GROWTH RATING 1..100 | 44 | |
P/E GROWTH RATING 1..100 | 39 | |
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.
| FPH | |
|---|---|
| RSI ODDS (%) | N/A |
| Stochastic ODDS (%) | 10 days ago 76% |
| Momentum ODDS (%) | 10 days ago 83% |
| MACD ODDS (%) | N/A |
| TrendWeek ODDS (%) | 10 days ago 76% |
| TrendMonth ODDS (%) | 10 days ago 74% |
| Advances ODDS (%) | N/A |
| Declines ODDS (%) | 12 days ago 79% |
| BollingerBands ODDS (%) | N/A |
| Aroon ODDS (%) | 10 days ago 74% |
CLILF and
Correlation & Price change
A.I.dvisor tells us that CLILF and ACNDF have been poorly correlated (+26% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that CLILF and ACNDF's prices will move in lockstep.
| Ticker / NAME | Correlation To CLILF | 1D Price Change % | ||
|---|---|---|---|---|
| CLILF | 100% | N/A | ||
| ACNDF - CLILF | 26% Poorly correlated | -5.42% | ||
| SWPFF - CLILF | 23% Poorly correlated | +3.80% | ||
| FPH - CLILF | 21% Poorly correlated | +1.30% | ||
| AWCA - CLILF | 11% Poorly correlated | N/A | ||
| OMH - CLILF | 6% Poorly correlated | -1.88% | ||
More | ||||
FPH and
Correlation & Price change
A.I.dvisor tells us that FPH and JOE have been poorly correlated (+30% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that FPH and JOE's prices will move in lockstep.
| Ticker / NAME | Correlation To FPH | 1D Price Change % | ||
|---|---|---|---|---|
| FPH | 100% | +1.30% | ||
| JOE - FPH | 30% Poorly correlated | -0.75% | ||
| RMR - FPH | 28% Poorly correlated | +0.41% | ||
| HHH - FPH | 26% Poorly correlated | +0.37% | ||
| EXPI - FPH | 26% Poorly correlated | +0.08% | ||
| COMP - FPH | 23% Poorly correlated | +2.22% | ||
More | ||||