Analysis and predictions AFRM vs RIOT
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To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is AFRM is a Buy and RIOT is a Hold.
Long-Term Analysis
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 whileRIOT’s FA Score has 0 green FA rating(s).
- AFRM’s FA Score: 0 green, 5 red.
- RIOT’s FA Score: 0 green, 5 red.
Short-Term Analysis
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 RIOT’s TA Score has 6 bullish TA indicator(s).
- AFRM’s TA Score: 6 bullish, 3 bearish.
- RIOT’s TA Score: 6 bullish, 4 bearish.
Price Growth
AFRM (@Packaged Software) experienced а +12.46% price change this week, while RIOT (@Investment Banks/Brokers) price change was +13.54% for the same time period.
The average weekly price growth across all stocks in the @Packaged Software industry was +1.87%. For the same industry, the average monthly price growth was +5.62%, and the average quarterly price growth was +6.15%.
The average weekly price growth across all stocks in the @Investment Banks/Brokers industry was +7.10%. For the same industry, the average monthly price growth was +17.10%, and the average quarterly price growth was +219.95%.
Reported Earning Dates
AFRM is expected to report earnings on Feb 08, 2024.
RIOT is expected to report earnings on Mar 13, 2024.
Industries' Descriptions
@Packaged Software (+1.87% 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.
@Investment Banks/Brokers (+7.10% weekly)These banks specialize in underwriting (helping companies with debt financing or equity issuances), IPOs, facilitating mergers and other corporate reorganizations and acting as a broker or financial advisor for institutions. They might also trade securities on their own accounts. Investment banks potentially thrive on expanding its network of clients, since that could help them increase profits. Goldman Sachs, Morgan Stanley and CME Group Inc are some of the largest investment banking companies.
| AFRM | RIOT | AFRM / RIOT | |
| Capitalization | 8.86B | 2.44B | 363% |
| EBITDA | -522.78M | 350M | -149% |
| Gain YTD | 296.810 | 335.398 | 88% |
| P/E Ratio | N/A | 75.19 | - |
| Revenue | 1.72B | 262M | 658% |
| Total Cash | 2.1B | 442M | 475% |
| Total Debt | 5.68B | 21.9M | 25,945% |
RIOT | ||
|---|---|---|
OUTLOOK RATING 1..100 | 21 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 89 Overvalued | |
PROFIT vs RISK RATING 1..100 | 76 | |
SMR RATING 1..100 | 95 | |
PRICE GROWTH RATING 1..100 | 34 | |
P/E GROWTH RATING 1..100 | 87 | |
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.
| AFRM | RIOT | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 79% | 1 day ago 86% |
| Stochastic ODDS (%) | 1 day ago 84% | 1 day ago 90% |
| Momentum ODDS (%) | 3 days ago 90% | 1 day ago 88% |
| MACD ODDS (%) | 3 days ago 90% | 1 day ago 86% |
| TrendWeek ODDS (%) | 1 day ago 84% | 1 day ago 88% |
| TrendMonth ODDS (%) | 1 day ago 85% | 1 day ago 89% |
| Advances ODDS (%) | 4 days ago 83% | 3 days ago 89% |
| Declines ODDS (%) | N/A | 24 days ago 90% |
| BollingerBands ODDS (%) | 1 day ago 90% | 1 day ago 88% |
| Aroon ODDS (%) | 1 day ago 83% | 1 day ago 90% |
| 1 Day | |||
|---|---|---|---|
| CRYPTO / NAME | Price $ | Chg $ | Chg % |
| PLA.X | 0.218117 | 0.001887 | +0.87% |
| PlayDapp cryptocurrency | |||
| DREP.X | 0.263663 | 0.001565 | +0.60% |
| Drep [new] cryptocurrency | |||
| XMR.X | 170.638600 | -0.796646 | -0.46% |
| Monero cryptocurrency | |||
| BETA.X | 0.063018 | -0.000808 | -1.27% |
| Beta Finance cryptocurrency | |||
| BAT.X | 0.237813 | -0.007010 | -2.86% |
| Basic Attention Token cryptocurrency | |||
AFRM and
Correlation & Price change
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% | +0.48% | ||
| COIN - AFRM | 81% Closely correlated | -3.97% | ||
| CLSK - AFRM | 71% Closely correlated | -0.81% | ||
| RIOT - AFRM | 70% Closely correlated | -2.51% | ||
| COMP - AFRM | 61% Loosely correlated | +3.91% | ||
| HOOD - AFRM | 60% Loosely correlated | +7.12% | ||
More | ||||
RIOT and
Correlation & Price change
A.I.dvisor indicates that over the last year, RIOT has been closely correlated with MARA. These tickers have moved in lockstep 86% of the time. This A.I.-generated data suggests there is a high statistical probability that if RIOT jumps, then MARA could also see price increases.
| Ticker / NAME | Correlation To RIOT | 1D Price Change % | ||
|---|---|---|---|---|
| RIOT | 100% | -2.51% | ||
| MARA - RIOT | 86% Closely correlated | +1.70% | ||
| MSTR - RIOT | 79% Closely correlated | -1.48% | ||
| CLSK - RIOT | 76% Closely correlated | -0.81% | ||
| BTBT - RIOT | 76% Closely correlated | -0.15% | ||
| BITF - RIOT | 75% Closely correlated | +1.03% | ||
More | ||||