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).
SPNUF’s FA Score shows that 1 FA rating(s) are green whileSTLFF’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.
SPNUF’s TA Score shows that 2 TA indicator(s) are bullish while STLFF’s TA Score has 1 bullish TA indicator(s).
SPNUF (@Computer Communications) experienced а 0.00% price change this week, while STLFF (@Electronics/Appliances) price change was -9.70% for the same time period.
The average weekly price growth across all stocks in the @Computer Communications industry was +0.40%. For the same industry, the average monthly price growth was +21.05%, and the average quarterly price growth was +56.00%.
The average weekly price growth across all stocks in the @Electronics/Appliances industry was +0.17%. For the same industry, the average monthly price growth was -3.45%, and the average quarterly price growth was +12.92%.
Computer communications industry develops technology that allows computing devices to exchange data with each other using connections/data links between nodes. Common types of computer network include Cloud (IAN), Internet, Wide (WAN, Local (LAN)/Wireless(WLAN) etc. The industry is an ever-more important part of technology, and is set to become even bigger as the Internet of Things (IoT) rapidly forays into the various aspects of our lives. Cisco Systems, Inc., Palo Alto Networks, Inc. and Arista Networks, Inc., Fortinet, Inc. are some of the major computer communications companies.
@Electronics/Appliances (+0.17% weekly)TVs, telephones, washing machines, home speakers and even home-office equipment like computers and printers…the list is virtually endless when it comes to consumer electronics and appliances. And, with ‘smarthomes’ increasingly becoming the reality, we could see a sharp surge in high-tech gadgets (including robotic appliances) making their way into our homes– and therefore spelling plenty opportunities in the related industries. Consumers account for 70% of US GDP, and their purchases of high-functioning electronics could make significant dents in the economy’s health. Sony Corp., Whirlpool and iRobot are some of the major consumer electronics/appliances makers.
SPNUF | STLFF | SPNUF / STLFF | |
Capitalization | 1.52B | 261M | 584% |
EBITDA | N/A | 1.7B | - |
Gain YTD | 19.156 | -33.422 | -57% |
P/E Ratio | 215.25 | 1148.97 | 19% |
Revenue | N/A | 6.24B | - |
Total Cash | N/A | 912M | - |
Total Debt | N/A | 5.1B | - |
SPNUF | ||
---|---|---|
OUTLOOK RATING 1..100 | 50 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 83 Overvalued | |
PROFIT vs RISK RATING 1..100 | 100 | |
SMR RATING 1..100 | 42 | |
PRICE GROWTH RATING 1..100 | 47 | |
P/E GROWTH RATING 1..100 | 9 | |
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.
SPNUF | STLFF | |
---|---|---|
RSI ODDS (%) | N/A | 4 days ago56% |
Stochastic ODDS (%) | 4 days ago30% | N/A |
Momentum ODDS (%) | N/A | 4 days ago57% |
MACD ODDS (%) | 4 days ago39% | N/A |
TrendWeek ODDS (%) | 4 days ago34% | 4 days ago55% |
TrendMonth ODDS (%) | 4 days ago34% | 4 days ago52% |
Advances ODDS (%) | N/A | N/A |
Declines ODDS (%) | N/A | N/A |
BollingerBands ODDS (%) | N/A | N/A |
Aroon ODDS (%) | N/A | 4 days ago66% |
A.I.dvisor indicates that over the last year, SPNUF has been closely correlated with SPMYY. These tickers have moved in lockstep 82% of the time. This A.I.-generated data suggests there is a high statistical probability that if SPNUF jumps, then SPMYY could also see price increases.
Ticker / NAME | Correlation To SPNUF | 1D Price Change % | ||
---|---|---|---|---|
SPNUF | 100% | N/A | ||
SPMYY - SPNUF | 82% Closely correlated | N/A | ||
VERB - SPNUF | 58% Loosely correlated | -14.98% | ||
CVOSF - SPNUF | 54% Loosely correlated | N/A | ||
STRM - SPNUF | 42% Loosely correlated | +0.27% | ||
TDCSF - SPNUF | 28% Poorly correlated | N/A | ||
More |
A.I.dvisor tells us that STLFF and SYZLF have been poorly correlated (+5% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that STLFF and SYZLF's prices will move in lockstep.
Ticker / NAME | Correlation To STLFF | 1D Price Change % | ||
---|---|---|---|---|
STLFF | 100% | N/A | ||
SYZLF - STLFF | 5% Poorly correlated | +0.03% | ||
SWISF - STLFF | 5% Poorly correlated | -11.08% | ||
SPNUF - STLFF | 2% Poorly correlated | N/A | ||
STBEF - STLFF | 2% Poorly correlated | N/A | ||
TMICY - STLFF | 1% Poorly correlated | -1.41% | ||
More |