AN vs RETL
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 AN is a StrongBuy and RETL is a StrongSell.
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).
AN’s FA Score shows that 3 FA rating(s) are green while.
- AN’s FA Score: 3 green, 2 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.
AN’s TA Score shows that 4 TA indicator(s) are bullish.
- AN’s TA Score: 4 bullish, 5 bearish.
Price Growth
AN (@Specialty Stores) experienced а -9.24% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Specialty Stores industry was -3.21%. For the same industry, the average monthly price growth was -0.60%, and the average quarterly price growth was -1.83%.
Reported Earning Dates
AN is expected to report earnings on Oct 25, 2024.
Industries' Descriptions
@Specialty Stores (-3.21% weekly)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.
AN | ||
|---|---|---|
OUTLOOK RATING 1..100 | 50 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 87 Overvalued | |
PROFIT vs RISK RATING 1..100 | 11 | |
SMR RATING 1..100 | 26 | |
PRICE GROWTH RATING 1..100 | 55 | |
P/E GROWTH RATING 1..100 | 25 | |
SEASONALITY SCORE 1..100 | 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.
| AN | RETL | |
|---|---|---|
| RSI ODDS (%) | 7 days ago 68% | N/A |
| Stochastic ODDS (%) | 4 days ago 70% | 4 days ago 90% |
| Momentum ODDS (%) | 4 days ago 69% | 4 days ago 90% |
| MACD ODDS (%) | 4 days ago 58% | 4 days ago 90% |
| TrendWeek ODDS (%) | 4 days ago 64% | 4 days ago 90% |
| TrendMonth ODDS (%) | 4 days ago 62% | 4 days ago 90% |
| Advances ODDS (%) | 15 days ago 72% | 22 days ago 90% |
| Declines ODDS (%) | 4 days ago 66% | 4 days ago 90% |
| BollingerBands ODDS (%) | 4 days ago 71% | 4 days ago 90% |
| Aroon ODDS (%) | 4 days ago 77% | N/A |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| PWZ | 25.12 | 0.12 | +0.48% |
| Invesco California AMT-Free Muni Bd ETF | |||
| THYF | 52.11 | -0.01 | -0.03% |
| T. Rowe Price U.S. High Yield ETF | |||
| DSEP | 39.60 | -0.06 | -0.16% |
| FT Cboe Vest US Equity Dp Bffr ETF Sep | |||
| MGC | 194.35 | -3.52 | -1.78% |
| Vanguard Mega Cap ETF | |||
| COPJ | 19.80 | -0.57 | -2.80% |
| Sprott Junior Copper Miners ETF | |||
AN and
Correlation & Price change
A.I.dvisor indicates that over the last year, AN has been closely correlated with PAG. These tickers have moved in lockstep 84% of the time. This A.I.-generated data suggests there is a high statistical probability that if AN jumps, then PAG could also see price increases.
RETL and
Correlation & Price change
A.I.dvisor indicates that over the last year, RETL has been closely correlated with PAG. These tickers have moved in lockstep 79% of the time. This A.I.-generated data suggests there is a high statistical probability that if RETL jumps, then PAG could also see price increases.
| Ticker / NAME | Correlation To RETL | 1D Price Change % | ||
|---|---|---|---|---|
| RETL | 100% | -4.99% | ||
| PAG - RETL | 79% Closely correlated | -2.32% | ||
| ABG - RETL | 78% Closely correlated | -3.85% | ||
| AN - RETL | 76% Closely correlated | -2.55% | ||
| SCVL - RETL | 73% Closely correlated | -1.13% | ||
| CWH - RETL | 73% Closely correlated | -3.61% | ||
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