AN vs SYLD
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 SYLD is a StrongBuy.
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 6 TA indicator(s) are bullish.
- AN’s TA Score: 6 bullish, 3 bearish.
Price Growth
AN (@Specialty Stores) experienced а +1.84% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Specialty Stores industry was +2.50%. For the same industry, the average monthly price growth was +2.01%, and the average quarterly price growth was +3.16%.
Reported Earning Dates
AN is expected to report earnings on Feb 13, 2025.
Industries' Descriptions
@Specialty Stores (+2.50% 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 | 80 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 91 Overvalued | |
PROFIT vs RISK RATING 1..100 | 12 | |
SMR RATING 1..100 | 30 | |
PRICE GROWTH RATING 1..100 | 54 | |
P/E GROWTH RATING 1..100 | 19 | |
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 | SYLD | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 75% | 2 days ago 84% |
| Stochastic ODDS (%) | 2 days ago 65% | 2 days ago 73% |
| Momentum ODDS (%) | 2 days ago 70% | 2 days ago 90% |
| MACD ODDS (%) | 2 days ago 77% | 2 days ago 90% |
| TrendWeek ODDS (%) | 2 days ago 73% | 2 days ago 87% |
| TrendMonth ODDS (%) | 2 days ago 73% | 2 days ago 87% |
| Advances ODDS (%) | 2 days ago 72% | 2 days ago 85% |
| Declines ODDS (%) | 5 days ago 66% | 8 days ago 80% |
| BollingerBands ODDS (%) | 2 days ago 88% | 2 days ago 84% |
| Aroon ODDS (%) | 2 days ago 67% | 2 days ago 85% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| RBLD | 72.14 | 1.50 | +2.13% |
| First Trust Alerian US NextGen InfrasETF | |||
| DIV | 19.09 | 0.28 | +1.49% |
| Global X SuperDividend™ US ETF | |||
| GUNR | 39.65 | 0.32 | +0.81% |
| FlexShares Mstar Glbl Upstrm Nat Res ETF | |||
| RPHS | 10.65 | 0.08 | +0.71% |
| Regents Park Hedged Market Strategy ETF | |||
| ISVL | 35.43 | 0.10 | +0.28% |
| iShares Intl Dev Sm Cp Val Fctr 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 82% 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.