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).
ACLS’s FA Score shows that 0 FA rating(s) are green whileCOST’s FA Score has 4 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.
ACLS’s TA Score shows that 5 TA indicator(s) are bullish while COST’s TA Score has 6 bullish TA indicator(s).
ACLS (@Semiconductors) experienced а +11.30% price change this week, while COST (@Discount Stores) price change was -1.74% for the same time period.
The average weekly price growth across all stocks in the @Semiconductors industry was +10.37%. For the same industry, the average monthly price growth was -1.32%, and the average quarterly price growth was -10.81%.
The average weekly price growth across all stocks in the @Discount Stores industry was +1.44%. For the same industry, the average monthly price growth was +8.63%, and the average quarterly price growth was +6.54%.
ACLS is expected to report earnings on Jul 30, 2025.
COST is expected to report earnings on May 30, 2025.
The semiconductor industry manufacturers all chip-related products, including research and development. These chips are used in innumerable electronic devices, including computers, cell phones, smartphones, and GPSs. Intel Corporation, NVIDIA Corp., and Broadcomm are some of the prominent players in this industry. Semiconductor companies usually tend to do well during periods of healthy economic growth, thereby inducing further research and development in the industry – which in turn augurs well for productivity and growth in the economy. In the near future, demand for semiconductor products (and possibly innovation within the segment) should only expand further, with the proliferation of 5G, autonomous vehicles, IoT, and various AI-driven electronics set to herald a new, advanced chapter in the technology-driven world as we know it. With burgeoning prospects comes great competition. In 2015, SIA estimated that U.S. semiconductor industry ranks as the second most competitive U.S. industry out of 2882 U.S. industries designated manufacturers by the U.S. Census Bureau.
@Discount Stores (+1.44% 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.
ACLS | COST | ACLS / COST | |
Capitalization | 3.64B | 434B | 1% |
EBITDA | 297M | 12.6B | 2% |
Gain YTD | -30.442 | 6.914 | -440% |
P/E Ratio | 15.15 | 57.12 | 27% |
Revenue | 1.13B | 264B | 0% |
Total Cash | 506M | 13.2B | 4% |
Total Debt | 45.2M | 8.04B | 1% |
ACLS | COST | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 27 | 89 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 50 Fair valued | 50 Fair valued | |
PROFIT vs RISK RATING 1..100 | 78 | 4 | |
SMR RATING 1..100 | 43 | 30 | |
PRICE GROWTH RATING 1..100 | 89 | 32 | |
P/E GROWTH RATING 1..100 | 89 | 24 | |
SEASONALITY SCORE 1..100 | 50 | 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.
ACLS's Valuation (50) in the Electronic Production Equipment industry is in the same range as COST (50) in the Specialty Stores industry. This means that ACLS’s stock grew similarly to COST’s over the last 12 months.
COST's Profit vs Risk Rating (4) in the Specialty Stores industry is significantly better than the same rating for ACLS (78) in the Electronic Production Equipment industry. This means that COST’s stock grew significantly faster than ACLS’s over the last 12 months.
COST's SMR Rating (30) in the Specialty Stores industry is in the same range as ACLS (43) in the Electronic Production Equipment industry. This means that COST’s stock grew similarly to ACLS’s over the last 12 months.
COST's Price Growth Rating (32) in the Specialty Stores industry is somewhat better than the same rating for ACLS (89) in the Electronic Production Equipment industry. This means that COST’s stock grew somewhat faster than ACLS’s over the last 12 months.
COST's P/E Growth Rating (24) in the Specialty Stores industry is somewhat better than the same rating for ACLS (89) in the Electronic Production Equipment industry. This means that COST’s stock grew somewhat faster than ACLS’s over the last 12 months.
ACLS | COST | |
---|---|---|
RSI ODDS (%) | 4 days ago75% | 6 days ago56% |
Stochastic ODDS (%) | 4 days ago83% | 4 days ago33% |
Momentum ODDS (%) | 4 days ago71% | 4 days ago80% |
MACD ODDS (%) | 4 days ago76% | 4 days ago62% |
TrendWeek ODDS (%) | 4 days ago78% | 4 days ago41% |
TrendMonth ODDS (%) | 4 days ago81% | 4 days ago65% |
Advances ODDS (%) | 4 days ago81% | 20 days ago66% |
Declines ODDS (%) | 13 days ago78% | 5 days ago38% |
BollingerBands ODDS (%) | 4 days ago81% | N/A |
Aroon ODDS (%) | 4 days ago74% | 4 days ago35% |
A.I.dvisor indicates that over the last year, ACLS has been closely correlated with VECO. These tickers have moved in lockstep 81% of the time. This A.I.-generated data suggests there is a high statistical probability that if ACLS jumps, then VECO could also see price increases.
Ticker / NAME | Correlation To ACLS | 1D Price Change % | ||
---|---|---|---|---|
ACLS | 100% | -2.49% | ||
VECO - ACLS | 81% Closely correlated | -1.37% | ||
LRCX - ACLS | 79% Closely correlated | +0.21% | ||
AMAT - ACLS | 79% Closely correlated | -0.50% | ||
NVMI - ACLS | 79% Closely correlated | -0.31% | ||
KLAC - ACLS | 79% Closely correlated | -0.13% | ||
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A.I.dvisor indicates that over the last year, COST has been loosely correlated with WMT. These tickers have moved in lockstep 61% of the time. This A.I.-generated data suggests there is some statistical probability that if COST jumps, then WMT could also see price increases.
Ticker / NAME | Correlation To COST | 1D Price Change % | ||
---|---|---|---|---|
COST | 100% | +0.14% | ||
WMT - COST | 61% Loosely correlated | +0.14% | ||
OLLI - COST | 35% Loosely correlated | +0.21% | ||
BJ - COST | 31% Poorly correlated | +2.72% | ||
PSMT - COST | 28% Poorly correlated | -0.52% | ||
DLMAF - COST | 20% Poorly correlated | -0.02% | ||
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