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).
AEVA’s FA Score shows that 0 FA rating(s) are green whileTROO’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.
AEVA’s TA Score shows that 4 TA indicator(s) are bullish while TROO’s TA Score has 5 bullish TA indicator(s).
AEVA (@Computer Communications) experienced а -0.61% price change this week, while TROO (@Savings Banks) price change was +6.26% for the same time period.
The average weekly price growth across all stocks in the @Computer Communications industry was +2.18%. For the same industry, the average monthly price growth was +0.49%, and the average quarterly price growth was +24.66%.
The average weekly price growth across all stocks in the @Savings Banks industry was +2.73%. For the same industry, the average monthly price growth was +4.51%, and the average quarterly price growth was +20.32%.
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.
@Savings Banks (+2.73% weekly)A savings bank primary function is to take deposits and paying interest on those deposits. Originating in Europe during the 18th century, these banks were generally introduced to incentivize people of all stripes to save money and park them with banks. By the 1990s, the internet ushered in online savings banks that allowed savers to deposit/transact with banks digitally, without requiring to visit a branch office. Savings banks have potentially encouraged lower-income population to save and have access to a financial institution to earn interest on their money. New York Community Bancorp, Inc, Webster Financial Corporation, Washington Federal, Inc. are examples of savings banks.
AEVA | TROO | AEVA / TROO | |
Capitalization | 738M | 104M | 710% |
EBITDA | -130.9M | N/A | - |
Gain YTD | 175.789 | -48.232 | -364% |
P/E Ratio | N/A | N/A | - |
Revenue | 10.3M | N/A | - |
Total Cash | 81M | 3.11M | 2,602% |
Total Debt | 2.81M | 4K | 70,225% |
TROO | ||
---|---|---|
OUTLOOK RATING 1..100 | 28 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 29 Undervalued | |
PROFIT vs RISK RATING 1..100 | 100 | |
SMR RATING 1..100 | 94 | |
PRICE GROWTH RATING 1..100 | 64 | |
P/E GROWTH RATING 1..100 | 100 | |
SEASONALITY SCORE 1..100 | 85 |
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.
AEVA | TROO | |
---|---|---|
RSI ODDS (%) | 3 days ago81% | 4 days ago90% |
Stochastic ODDS (%) | 3 days ago84% | 3 days ago90% |
Momentum ODDS (%) | 7 days ago83% | 3 days ago86% |
MACD ODDS (%) | N/A | 3 days ago90% |
TrendWeek ODDS (%) | 3 days ago85% | 3 days ago87% |
TrendMonth ODDS (%) | 3 days ago87% | 3 days ago85% |
Advances ODDS (%) | 5 days ago83% | 7 days ago85% |
Declines ODDS (%) | 3 days ago89% | 4 days ago88% |
BollingerBands ODDS (%) | 3 days ago88% | 3 days ago89% |
Aroon ODDS (%) | 3 days ago88% | 7 days ago90% |
A.I.dvisor indicates that over the last year, AEVA has been loosely correlated with DSGX. These tickers have moved in lockstep 38% of the time. This A.I.-generated data suggests there is some statistical probability that if AEVA jumps, then DSGX could also see price increases.
Ticker / NAME | Correlation To AEVA | 1D Price Change % | ||
---|---|---|---|---|
AEVA | 100% | -1.36% | ||
DSGX - AEVA | 38% Loosely correlated | +0.39% | ||
ALKT - AEVA | 37% Loosely correlated | +1.90% | ||
PAR - AEVA | 37% Loosely correlated | +0.25% | ||
RNG - AEVA | 37% Loosely correlated | +0.75% | ||
IMMR - AEVA | 37% Loosely correlated | -1.67% | ||
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A.I.dvisor tells us that TROO and DH have been poorly correlated (+25% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that TROO and DH's prices will move in lockstep.
Ticker / NAME | Correlation To TROO | 1D Price Change % | ||
---|---|---|---|---|
TROO | 100% | +4.34% | ||
DH - TROO | 25% Poorly correlated | +1.84% | ||
MLNK - TROO | 24% Poorly correlated | N/A | ||
GRVY - TROO | 23% Poorly correlated | -0.17% | ||
AEVA - TROO | 22% Poorly correlated | -1.36% | ||
WK - TROO | 22% Poorly correlated | +2.51% | ||
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