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).
KAOOY’s FA Score shows that 1 FA rating(s) are green whileLCCTF’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.
KAOOY’s TA Score shows that 3 TA indicator(s) are bullish.
KAOOY (@Household/Personal Care) experienced а -1.71% price change this week, while LCCTF (@Household/Personal Care) price change was 0.00% for the same time period.
The average weekly price growth across all stocks in the @Household/Personal Care industry was +1.47%. For the same industry, the average monthly price growth was +1.09%, and the average quarterly price growth was +7.28%.
Household/Personal Care companies sell products for home cleaning and/or personal hygiene and grooming purposes. Products of this industry include detergents, shampoos, soaps, cosmetics, fabric conditioners and infant care fragrances. Procter & Gamble, Unilever, Estee Lauder and Colgate-Palmolive are some of the biggest names in the business. A lot of the products become a necessary part of people’s daily routine, and therefore the industry is relatively less vulnerable to macroeconomic downturns. At the same time, product quality, consumer safety, and ease of use are extremely critical factors for a company to survive competition and earn recognition in this industry.
KAOOY | LCCTF | KAOOY / LCCTF | |
Capitalization | 17.8B | 4.55B | 391% |
EBITDA | 192B | 411M | 46,715% |
Gain YTD | -1.641 | 74.510 | -2% |
P/E Ratio | 34.01 | 35.21 | 97% |
Revenue | 1.55T | 1.54B | 100,910% |
Total Cash | 220B | 421M | 52,257% |
Total Debt | 255B | 817M | 31,212% |
KAOOY | LCCTF | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 50 | 50 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 32 Undervalued | 54 Fair valued | |
PROFIT vs RISK RATING 1..100 | 100 | 29 | |
SMR RATING 1..100 | 76 | 59 | |
PRICE GROWTH RATING 1..100 | 61 | 41 | |
P/E GROWTH RATING 1..100 | 93 | 74 | |
SEASONALITY SCORE 1..100 | 75 | n/a |
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.
KAOOY's Valuation (32) in the null industry is in the same range as LCCTF (54). This means that KAOOY’s stock grew similarly to LCCTF’s over the last 12 months.
LCCTF's Profit vs Risk Rating (29) in the null industry is significantly better than the same rating for KAOOY (100). This means that LCCTF’s stock grew significantly faster than KAOOY’s over the last 12 months.
LCCTF's SMR Rating (59) in the null industry is in the same range as KAOOY (76). This means that LCCTF’s stock grew similarly to KAOOY’s over the last 12 months.
LCCTF's Price Growth Rating (41) in the null industry is in the same range as KAOOY (61). This means that LCCTF’s stock grew similarly to KAOOY’s over the last 12 months.
LCCTF's P/E Growth Rating (74) in the null industry is in the same range as KAOOY (93). This means that LCCTF’s stock grew similarly to KAOOY’s over the last 12 months.
KAOOY | |
---|---|
RSI ODDS (%) | 4 days ago61% |
Stochastic ODDS (%) | 4 days ago37% |
Momentum ODDS (%) | N/A |
MACD ODDS (%) | N/A |
TrendWeek ODDS (%) | 4 days ago65% |
TrendMonth ODDS (%) | 4 days ago64% |
Advances ODDS (%) | N/A |
Declines ODDS (%) | 4 days ago64% |
BollingerBands ODDS (%) | 4 days ago47% |
Aroon ODDS (%) | 4 days ago62% |
A.I.dvisor indicates that over the last year, KAOOY has been loosely correlated with UNICY. These tickers have moved in lockstep 36% of the time. This A.I.-generated data suggests there is some statistical probability that if KAOOY jumps, then UNICY could also see price increases.
Ticker / NAME | Correlation To KAOOY | 1D Price Change % | ||
---|---|---|---|---|
KAOOY | 100% | -0.50% | ||
UNICY - KAOOY | 36% Loosely correlated | -1.19% | ||
KSRYY - KAOOY | 34% Loosely correlated | -0.20% | ||
SSDOY - KAOOY | 32% Poorly correlated | -1.61% | ||
KAOCF - KAOOY | 28% Poorly correlated | N/A | ||
LRLCY - KAOOY | 25% Poorly correlated | -0.51% | ||
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A.I.dvisor tells us that LCCTF and KAOOY have been poorly correlated (+7% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that LCCTF and KAOOY's prices will move in lockstep.
Ticker / NAME | Correlation To LCCTF | 1D Price Change % | ||
---|---|---|---|---|
LCCTF | 100% | N/A | ||
KAOOY - LCCTF | 7% Poorly correlated | -0.50% | ||
KOSCF - LCCTF | 5% Poorly correlated | N/A | ||
KPTSF - LCCTF | 2% Poorly correlated | N/A | ||
SKIN - LCCTF | 2% Poorly correlated | -14.53% | ||
EWCZ - LCCTF | 1% Poorly correlated | -4.22% | ||
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