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).
NPSNY’s FA Score shows that 2 FA rating(s) are green whileQQQFF’s FA Score has 0 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.
NPSNY’s TA Score shows that 4 TA indicator(s) are bullish.
NPSNY (@Internet Retail) experienced а -16.59% price change this week, while QQQFF (@Internet Software/Services) price change was 0.00% for the same time period.
The average weekly price growth across all stocks in the @Internet Retail industry was -5.84%. For the same industry, the average monthly price growth was -6.47%, and the average quarterly price growth was -12.30%.
The average weekly price growth across all stocks in the @Internet Software/Services industry was -4.55%. For the same industry, the average monthly price growth was -6.35%, and the average quarterly price growth was -10.87%.
NPSNY is expected to report earnings on Jun 20, 2025.
The internet retail industry includes companies that sell products and services through the Internet. With more and more consumers using online retailers, the companies have seen a big increase in the use of their services. Some of the companies in the group are focused on selling business-to-business products and services. Others sell business-to-consumer products and services. Internet retailers offer a wide variety of products like books, apparel, and electronics. Some companies even specialize in only one or two categories. One potentially critical factor for players to thrive in this space is the quality and speed of product delivery. This requires an investment in efficient distribution networks. Things like logistics are important factors in the success in the extremely competitive industry. For a company to stay relevant in the industry it must have effective pricing strategies and upgraded websites. The websites must be easy to navigate and engaging for customers. In addition to the revenues generated from straight sales, internet retailers can generate revenue from subscription fees and advertising. Amazon.com, Inc., Alibaba Group, and JD.com are some of the global leaders.
@Internet Software/Services (-4.55% weekly)Companies in this industry typically license software on a subscription basis and it is centrally hosted. Such products usually go by the names web-based software, on-demand software and hosted software. Cloud computing has emerged as a major force in this space, making it possible to save files to a remote database (without requiring them to be saved on local storage device); as long as a device has access to the web, it can access the data and the software programs to run it. This has in many cases facilitated cost efficiency, speed and security of data for businesses and consumers. Alphabet Inc., Facebook, Inc. and Yahoo! Inc. are some well-known names in the internet software/services industry.
NPSNY | QQQFF | NPSNY / QQQFF | |
Capitalization | 36.4B | 787K | 4,625,159% |
EBITDA | N/A | -174.41K | - |
Gain YTD | -4.926 | 113.235 | -4% |
P/E Ratio | 11.33 | N/A | - |
Revenue | N/A | 7.32M | - |
Total Cash | 1.19B | 57.4K | 2,066,202% |
Total Debt | 16.9B | 1.99M | 847,968% |
NPSNY | QQQFF | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 56 | 33 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 37 Fair valued | 51 Fair valued | |
PROFIT vs RISK RATING 1..100 | 59 | 100 | |
SMR RATING 1..100 | 14 | 100 | |
PRICE GROWTH RATING 1..100 | 57 | 35 | |
P/E GROWTH RATING 1..100 | 13 | 100 | |
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.
NPSNY's Valuation (37) in the null industry is in the same range as QQQFF (51). This means that NPSNY’s stock grew similarly to QQQFF’s over the last 12 months.
NPSNY's Profit vs Risk Rating (59) in the null industry is somewhat better than the same rating for QQQFF (100). This means that NPSNY’s stock grew somewhat faster than QQQFF’s over the last 12 months.
NPSNY's SMR Rating (14) in the null industry is significantly better than the same rating for QQQFF (100). This means that NPSNY’s stock grew significantly faster than QQQFF’s over the last 12 months.
QQQFF's Price Growth Rating (35) in the null industry is in the same range as NPSNY (57). This means that QQQFF’s stock grew similarly to NPSNY’s over the last 12 months.
NPSNY's P/E Growth Rating (13) in the null industry is significantly better than the same rating for QQQFF (100). This means that NPSNY’s stock grew significantly faster than QQQFF’s over the last 12 months.
NPSNY | |
---|---|
RSI ODDS (%) | 2 days ago85% |
Stochastic ODDS (%) | 2 days ago71% |
Momentum ODDS (%) | 2 days ago67% |
MACD ODDS (%) | 2 days ago66% |
TrendWeek ODDS (%) | 2 days ago67% |
TrendMonth ODDS (%) | 2 days ago68% |
Advances ODDS (%) | 22 days ago69% |
Declines ODDS (%) | 2 days ago69% |
BollingerBands ODDS (%) | 2 days ago90% |
Aroon ODDS (%) | 2 days ago75% |
A.I.dvisor indicates that over the last year, NPSNY has been closely correlated with PROSY. These tickers have moved in lockstep 91% of the time. This A.I.-generated data suggests there is a high statistical probability that if NPSNY jumps, then PROSY could also see price increases.
Ticker / NAME | Correlation To NPSNY | 1D Price Change % | ||
---|---|---|---|---|
NPSNY | 100% | -2.43% | ||
PROSY - NPSNY | 91% Closely correlated | -0.89% | ||
TCEHY - NPSNY | 80% Closely correlated | -2.32% | ||
TCTZF - NPSNY | 65% Loosely correlated | -3.10% | ||
NAPRF - NPSNY | 31% Poorly correlated | N/A | ||
BIDU - NPSNY | 28% Poorly correlated | -3.64% | ||
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A.I.dvisor tells us that QQQFF and RCRRF have been poorly correlated (+8% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that QQQFF and RCRRF's prices will move in lockstep.
Ticker / NAME | Correlation To QQQFF | 1D Price Change % | ||
---|---|---|---|---|
QQQFF | 100% | N/A | ||
RCRRF - QQQFF | 8% Poorly correlated | +11.49% | ||
NAPRF - QQQFF | 5% Poorly correlated | N/A | ||
PROSY - QQQFF | 4% Poorly correlated | -0.89% | ||
PRSNF - QQQFF | 4% Poorly correlated | +58.83% | ||
NPSNY - QQQFF | 3% Poorly correlated | -2.43% | ||
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