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).
EVGO’s FA Score shows that 0 FA rating(s) are green whileLE’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.
EVGO’s TA Score shows that 5 TA indicator(s) are bullish while LE’s TA Score has 7 bullish TA indicator(s).
EVGO (@Specialty Stores) experienced а +3.78% price change this week, while LE (@Apparel/Footwear Retail) price change was +3.84% for the same time period.
The average weekly price growth across all stocks in the @Specialty Stores industry was +0.63%. For the same industry, the average monthly price growth was +2.28%, and the average quarterly price growth was +14.51%.
The average weekly price growth across all stocks in the @Apparel/Footwear Retail industry was +2.94%. For the same industry, the average monthly price growth was +7.06%, and the average quarterly price growth was +5.38%.
EVGO is expected to report earnings on Mar 20, 2024.
LE is expected to report earnings on Mar 21, 2024.
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.@Apparel/Footwear Retail (+2.94% weekly)
Companies in the apparel and/or footwear retail industry sell clothing, accessories and footwear, for different age groups and genders. The industry’s product categories could range from basics, such as underwear, to luxury items. Some retailers source items from wholesalers or an apparel brand to sell in their stores; some others are licensed to make and market their own retail goods under particular brands. Several companies outsource production of clothing to developing/emerging economies where labor costs are relatively inexpensive. Apparel retail is often influenced by fashion trends, and many companies feel the need to adapt to what’s “in vogue” to retain customers and attract new ones. A major disruption in this industry has been the burgeoning trend in digital shopping – to compete with rapidly growing e-commerce, even traditional retail players are upping the ante on their online platforms. Much of the products’ performance in apparel/footwear retail is cyclical, i.e., economic boom times encourage consumer spending, while recessions induce thriftiness among people. Some large-cap U.S. apparel/footwear retail companies include TJX Companies Inc., Ross Stores, Inc., Lululemon Athletica Inc. and Burlington Stores, Inc.
|EVGO||LE||EVGO / LE|
overvalued / fair valued / undervalued
PROFIT vs RISK RATING
PRICE GROWTH RATING
P/E GROWTH RATING
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.
1 day ago90%
1 day ago83%
1 day ago90%
1 day ago85%
1 day ago84%
1 day ago74%
1 day ago87%
1 day ago81%
1 day ago84%
1 day ago78%
1 day ago82%
13 days ago79%
7 days ago82%
1 day ago88%
3 days ago86%
1 day ago88%
1 day ago80%
1 day ago76%
1 day ago82%
A.I.dvisor indicates that over the last year, EVGO has been loosely correlated with HNST. These tickers have moved in lockstep 51% of the time. This A.I.-generated data suggests there is some statistical probability that if EVGO jumps, then HNST could also see price increases.
A.I.dvisor indicates that over the last year, LE has been loosely correlated with DLTH. These tickers have moved in lockstep 54% of the time. This A.I.-generated data suggests there is some statistical probability that if LE jumps, then DLTH could also see price increases.