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COST vs FSTA
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 COST is a StrongBuy and FSTA is a Hold.
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).
COST’s FA Score shows that 2 FA rating(s) are green while.
- COST’s FA Score: 2 green, 3 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.
COST’s TA Score shows that 4 TA indicator(s) are bullish.
- COST’s TA Score: 4 bullish, 6 bearish.
Price Growth
COST (@Discount Stores) experienced а -3.73% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Discount Stores industry was -0.72%. For the same industry, the average monthly price growth was -0.68%, and the average quarterly price growth was +10.83%.
Reported Earning Dates
COST is expected to report earnings on Dec 11, 2025.
Industries' Descriptions
@Discount Stores (-0.72% weekly)Companies in the discount stores industry specialize in offering substantial discounts on a vast array of retail products. Some companies in this industry also operate general merchandise warehouse clubs. Products sold at discount stores are typically similar to those of any department store, but the pricing of the goods is generally much lower (and hence the name “discount”). Think Dollar General Corporation, Dollar Tree, Inc. and Five Below, Inc. Many discount stores target low-income households and/or price-sensitive consumers as their potential market. Discount stores’ profitability could hinge on factors like competitive pricing, sufficient locations, healthy revenue per square foot, and effective advertisement. These store operators could have an edge over other retailers during financial crises or recessions, when many consumers could be looking for less expensive alternatives.
COST | ||
|---|---|---|
OUTLOOK RATING 1..100 | 67 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 96 Overvalued | |
PROFIT vs RISK RATING 1..100 | 8 | |
SMR RATING 1..100 | 30 | |
PRICE GROWTH RATING 1..100 | 57 | |
P/E GROWTH RATING 1..100 | 52 | |
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.
| COST | FSTA | |
|---|---|---|
| RSI ODDS (%) | N/A | N/A |
| Stochastic ODDS (%) | 2 days ago 58% | 2 days ago 80% |
| Momentum ODDS (%) | 2 days ago 51% | 2 days ago 68% |
| MACD ODDS (%) | 2 days ago 57% | 2 days ago 79% |
| TrendWeek ODDS (%) | 2 days ago 43% | 2 days ago 73% |
| TrendMonth ODDS (%) | 2 days ago 63% | 2 days ago 69% |
| Advances ODDS (%) | 3 days ago 65% | 3 days ago 78% |
| Declines ODDS (%) | 5 days ago 40% | 5 days ago 72% |
| BollingerBands ODDS (%) | 2 days ago 55% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 54% | 2 days ago 64% |
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| JUNM | 33.76 | -0.01 | -0.03% |
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COST and
Correlation & Price change
A.I.dvisor indicates that over the last year, COST has been closely correlated with WMT. These tickers have moved in lockstep 71% of the time. This A.I.-generated data suggests there is a high statistical probability that if COST jumps, then WMT could also see price increases.
| Ticker / NAME | Correlation To COST | 1D Price Change % | ||
|---|---|---|---|---|
| COST | 100% | -0.21% | ||
| WMT - COST | 71% Closely correlated | +0.31% | ||
| BJ - COST | 37% Loosely correlated | +0.35% | ||
| OLLI - COST | 34% Loosely correlated | -0.76% | ||
| PSMT - COST | 28% Poorly correlated | -0.35% | ||
| DLTR - COST | 25% Poorly correlated | -1.95% | ||
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FSTA and
Correlation & Price change
A.I.dvisor indicates that over the last year, FSTA has been closely correlated with PG. These tickers have moved in lockstep 77% of the time. This A.I.-generated data suggests there is a high statistical probability that if FSTA jumps, then PG could also see price increases.
| Ticker / NAME | Correlation To FSTA | 1D Price Change % | ||
|---|---|---|---|---|
| FSTA | 100% | -0.68% | ||
| PG - FSTA | 77% Closely correlated | -0.18% | ||
| KO - FSTA | 71% Closely correlated | -0.71% | ||
| CL - FSTA | 69% Closely correlated | -1.76% | ||
| COST - FSTA | 67% Closely correlated | -0.21% | ||
| PEP - FSTA | 67% Closely correlated | -1.58% | ||
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