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).
BQ’s FA Score shows that 0 FA rating(s) are green whileMNSO’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.
BQ’s TA Score shows that 5 TA indicator(s) are bullish while MNSO’s TA Score has 2 bullish TA indicator(s).
BQ (@Specialty Stores) experienced а -2.59% price change this week, while MNSO (@Specialty Stores) price change was -15.26% for the same time period.
The average weekly price growth across all stocks in the @Specialty Stores industry was -2.09%. For the same industry, the average monthly price growth was -0.72%, and the average quarterly price growth was +19.14%.
BQ is expected to report earnings on Sep 14, 2023.
MNSO is expected to report earnings on Feb 26, 2025.
The specialty stores sector includes companies dedicated to the sale of retail products focused on a single product category, such as clothing, carpet, books, or office supplies. A specialty store could face intense competition from big-box departmental chains, and therefore offering an adequate collection of the product type it specializes in is key in maintaining/growing its market.
BQ | MNSO | BQ / MNSO | |
Capitalization | 1.12M | 6.48B | 0% |
EBITDA | -61.01M | 2.68B | -2% |
Gain YTD | 4.485 | -14.863 | -30% |
P/E Ratio | N/A | 23.98 | - |
Revenue | 1.09B | 12.5B | 9% |
Total Cash | N/A | N/A | - |
Total Debt | N/A | N/A | - |
BQ | MNSO | |
---|---|---|
RSI ODDS (%) | N/A | N/A |
Stochastic ODDS (%) | 2 days ago90% | 2 days ago86% |
Momentum ODDS (%) | 2 days ago87% | 2 days ago78% |
MACD ODDS (%) | 2 days ago74% | 2 days ago79% |
TrendWeek ODDS (%) | 2 days ago90% | 2 days ago83% |
TrendMonth ODDS (%) | 2 days ago90% | 2 days ago87% |
Advances ODDS (%) | 8 days ago0% | N/A |
Declines ODDS (%) | 2 days ago90% | 4 days ago83% |
BollingerBands ODDS (%) | 2 days ago90% | 2 days ago90% |
Aroon ODDS (%) | 2 days ago90% | N/A |
A.I.dvisor tells us that BQ and UCAR have been poorly correlated (+20% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that BQ and UCAR's prices will move in lockstep.
A.I.dvisor tells us that MNSO and UCAR have been poorly correlated (+24% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that MNSO and UCAR's prices will move in lockstep.
Ticker / NAME | Correlation To MNSO | 1D Price Change % | ||
---|---|---|---|---|
MNSO | 100% | -6.35% | ||
UCAR - MNSO | 24% Poorly correlated | +8.86% | ||
CMEIF - MNSO | 23% Poorly correlated | N/A | ||
HD - MNSO | 21% Poorly correlated | -1.09% | ||
WFAFY - MNSO | 21% Poorly correlated | +1.55% | ||
WSM - MNSO | 21% Poorly correlated | +1.01% | ||
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