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).
FFPP’s FA Score shows that 1 FA rating(s) are green whileTDCSF’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.
FFPP’s TA Score shows that 5 TA indicator(s) are bullish.
FFPP (@Computer Communications) experienced а +11.11% price change this week, while TDCSF (@Computer Communications) price change was 0.00% for the same time period.
The average weekly price growth across all stocks in the @Computer Communications industry was +0.86%. For the same industry, the average monthly price growth was +21.46%, and the average quarterly price growth was +57.03%.
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.
FFPP | TDCSF | FFPP / TDCSF | |
Capitalization | 173M | 459M | 38% |
EBITDA | N/A | 4.96B | - |
Gain YTD | 150.000 | 13.636 | 1,100% |
P/E Ratio | N/A | 17.84 | - |
Revenue | N/A | 42.2B | - |
Total Cash | N/A | 13.4B | - |
Total Debt | N/A | 600M | - |
FFPP | ||
---|---|---|
OUTLOOK RATING 1..100 | 50 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 29 Undervalued | |
PROFIT vs RISK RATING 1..100 | 100 | |
SMR RATING 1..100 | 100 | |
PRICE GROWTH RATING 1..100 | 37 | |
P/E GROWTH RATING 1..100 | 100 | |
SEASONALITY SCORE 1..100 | 50 |
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.
FFPP | TDCSF | |
---|---|---|
RSI ODDS (%) | 4 days ago71% | N/A |
Stochastic ODDS (%) | 4 days ago79% | N/A |
Momentum ODDS (%) | 4 days ago70% | N/A |
MACD ODDS (%) | 4 days ago57% | N/A |
TrendWeek ODDS (%) | 4 days ago63% | 4 days ago22% |
TrendMonth ODDS (%) | 4 days ago64% | 4 days ago23% |
Advances ODDS (%) | 5 days ago84% | N/A |
Declines ODDS (%) | N/A | N/A |
BollingerBands ODDS (%) | N/A | N/A |
Aroon ODDS (%) | N/A | N/A |
A.I.dvisor tells us that FFPP and MRINQ have been poorly correlated (+24% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that FFPP and MRINQ's prices will move in lockstep.
Ticker / NAME | Correlation To FFPP | 1D Price Change % | ||
---|---|---|---|---|
FFPP | 100% | N/A | ||
MRINQ - FFPP | 24% Poorly correlated | +44.23% | ||
TRAK - FFPP | 20% Poorly correlated | +0.97% | ||
ZCMD - FFPP | 20% Poorly correlated | -2.02% | ||
KGDEY - FFPP | 20% Poorly correlated | -11.53% | ||
TDCSF - FFPP | 20% Poorly correlated | N/A | ||
More |
A.I.dvisor indicates that over the last year, TDCSF has been closely correlated with JAPPF. These tickers have moved in lockstep 74% of the time. This A.I.-generated data suggests there is a high statistical probability that if TDCSF jumps, then JAPPF could also see price increases.
Ticker / NAME | Correlation To TDCSF | 1D Price Change % | ||
---|---|---|---|---|
TDCSF | 100% | N/A | ||
JAPPF - TDCSF | 74% Closely correlated | N/A | ||
MRINQ - TDCSF | 46% Loosely correlated | +44.23% | ||
PSHPF - TDCSF | 31% Poorly correlated | N/A | ||
IPNAF - TDCSF | 29% Poorly correlated | N/A | ||
SPNUF - TDCSF | 27% Poorly correlated | N/A | ||
More |