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).
AFRM’s FA Score shows that 0 FA rating(s) are green whileNET’s FA Score has 0 green FA rating(s), and SNOW’s FA Score reflects 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.
AFRM’s TA Score shows that 6 TA indicator(s) are bullish while NET’s TA Score has 3 bullish TA indicator(s), and SNOW’s TA Score reflects 2 bullish TA indicator(s).
AFRM (@Savings Banks) experienced а +5.96% price change this week, while NET (@Computer Communications) price change was -7.89% , and SNOW (@Packaged Software) price fluctuated -2.55% for the same time period.
The average weekly price growth across all stocks in the @Savings Banks industry was -1.10%. For the same industry, the average monthly price growth was +1.80%, and the average quarterly price growth was +9.43%.
The average weekly price growth across all stocks in the @Computer Communications industry was +0.16%. For the same industry, the average monthly price growth was +4.33%, and the average quarterly price growth was +19.46%.
The average weekly price growth across all stocks in the @Packaged Software industry was -0.95%. For the same industry, the average monthly price growth was +4.98%, and the average quarterly price growth was +9.12%.
AFRM is expected to report earnings on Aug 27, 2026.
NET is expected to report earnings on Oct 29, 2026.
SNOW is expected to report earnings on Sep 02, 2026.
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.
@Computer Communications (+0.16% weekly)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.
@Packaged Software (-0.95% weekly)Packaged software comprises multiple software programs bundled together and sold as a group. For example, Microsoft Office includes multiple applications such as Excel, Word, and PowerPoint. In some cases, buying a bundled product is cheaper than purchasing each item individually[s20] . Microsoft Corporation, Oracle Corp. and Adobe are some major American packaged software makers.
| AFRM | NET | SNOW | |
| Capitalization | 26.1B | 98.8B | 110B |
| EBITDA | 1.12B | 138M | -936.8M |
| Gain YTD | 4.723 | 40.796 | 44.520 |
| P/E Ratio | 70.86 | N/A | N/A |
| Revenue | 3.97B | 2.33B | 5.03B |
| Total Cash | 2.48B | 4.16B | 2.96B |
| Total Debt | 9.09B | 3.53B | 2.77B |
NET | SNOW | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 79 | 80 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 85 Overvalued | 92 Overvalued | |
PROFIT vs RISK RATING 1..100 | 53 | 88 | |
SMR RATING 1..100 | 92 | 99 | |
PRICE GROWTH RATING 1..100 | 38 | 35 | |
P/E GROWTH RATING 1..100 | 100 | 100 | |
SEASONALITY SCORE 1..100 | 50 | 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.
NET's Valuation (85) in the null industry is in the same range as SNOW (92) in the Other Consumer Services industry. This means that NET’s stock grew similarly to SNOW’s over the last 12 months.
NET's Profit vs Risk Rating (53) in the null industry is somewhat better than the same rating for SNOW (88) in the Other Consumer Services industry. This means that NET’s stock grew somewhat faster than SNOW’s over the last 12 months.
NET's SMR Rating (92) in the null industry is in the same range as SNOW (99) in the Other Consumer Services industry. This means that NET’s stock grew similarly to SNOW’s over the last 12 months.
SNOW's Price Growth Rating (35) in the Other Consumer Services industry is in the same range as NET (38) in the null industry. This means that SNOW’s stock grew similarly to NET’s over the last 12 months.
SNOW's P/E Growth Rating (100) in the Other Consumer Services industry is in the same range as NET (100) in the null industry. This means that SNOW’s stock grew similarly to NET’s over the last 12 months.
| AFRM | NET | SNOW | |
|---|---|---|---|
| RSI ODDS (%) | 2 days ago 80% | 2 days ago 78% | 2 days ago 84% |
| Stochastic ODDS (%) | 2 days ago 87% | 2 days ago 90% | 2 days ago 77% |
| Momentum ODDS (%) | 2 days ago 87% | 2 days ago 77% | 2 days ago 80% |
| MACD ODDS (%) | 2 days ago 87% | 2 days ago 80% | 2 days ago 84% |
| TrendWeek ODDS (%) | 2 days ago 86% | 2 days ago 78% | 2 days ago 78% |
| TrendMonth ODDS (%) | 2 days ago 85% | 2 days ago 81% | 2 days ago 75% |
| Advances ODDS (%) | 13 days ago 83% | 14 days ago 83% | 20 days ago 76% |
| Declines ODDS (%) | 9 days ago 86% | 2 days ago 78% | 2 days ago 77% |
| BollingerBands ODDS (%) | N/A | 2 days ago 67% | 2 days ago 81% |
| Aroon ODDS (%) | 2 days ago 84% | 2 days ago 83% | 2 days ago 68% |
A.I.dvisor indicates that over the last year, AFRM has been closely correlated with COIN. These tickers have moved in lockstep 81% of the time. This A.I.-generated data suggests there is a high statistical probability that if AFRM jumps, then COIN could also see price increases.
| Ticker / NAME | Correlation To AFRM | 1D Price Change % | ||
|---|---|---|---|---|
| AFRM | 100% | +1.39% | ||
| COIN - AFRM | 81% Closely correlated | +4.28% | ||
| CLSK - AFRM | 71% Closely correlated | +6.87% | ||
| RIOT - AFRM | 70% Closely correlated | +6.50% | ||
| UPST - AFRM | 69% Closely correlated | +2.31% | ||
| SOFI - AFRM | 62% Loosely correlated | +4.17% | ||
More | ||||
A.I.dvisor indicates that over the last year, NET has been closely correlated with COIN. These tickers have moved in lockstep 66% of the time. This A.I.-generated data suggests there is a high statistical probability that if NET jumps, then COIN could also see price increases.
| Ticker / NAME | Correlation To NET | 1D Price Change % | ||
|---|---|---|---|---|
| NET | 100% | -0.99% | ||
| COIN - NET | 66% Closely correlated | +4.28% | ||
| CLSK - NET | 64% Loosely correlated | +6.87% | ||
| AFRM - NET | 62% Loosely correlated | +1.39% | ||
| SNOW - NET | 62% Loosely correlated | -1.78% | ||
| HUBS - NET | 59% Loosely correlated | -2.65% | ||
More | ||||
A.I.dvisor indicates that over the last year, SNOW has been closely correlated with MDB. These tickers have moved in lockstep 67% of the time. This A.I.-generated data suggests there is a high statistical probability that if SNOW jumps, then MDB could also see price increases.
| Ticker / NAME | Correlation To SNOW | 1D Price Change % | ||
|---|---|---|---|---|
| SNOW | 100% | -1.78% | ||
| MDB - SNOW | 67% Closely correlated | +0.55% | ||
| COIN - SNOW | 63% Loosely correlated | +4.28% | ||
| NET - SNOW | 62% Loosely correlated | -0.99% | ||
| CLSK - SNOW | 61% Loosely correlated | +6.87% | ||
| ESTC - SNOW | 59% Loosely correlated | -3.41% | ||
More | ||||