FTFT vs SQ
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 FTFT is a Hold and SQ 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).
FTFT’s FA Score shows that 1 FA rating(s) are green whileSQ’s FA Score has 0 green FA rating(s).
- FTFT’s FA Score: 1 green, 4 red.
- SQ’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.
FTFT’s TA Score shows that 5 TA indicator(s) are bullish while SQ’s TA Score has 5 bullish TA indicator(s).
- FTFT’s TA Score: 5 bullish, 4 bearish.
- SQ’s TA Score: 5 bullish, 4 bearish.
Price Growth
FTFT (@Packaged Software) experienced а +20.03% price change this week, while SQ (@Packaged Software) price change was +10.54% for the same time period.
The average weekly price growth across all stocks in the @Packaged Software industry was +0.15%. For the same industry, the average monthly price growth was +5.05%, and the average quarterly price growth was +3.91%.
Reported Earning Dates
FTFT is expected to report earnings on Apr 04, 2023.
SQ is expected to report earnings on Feb 20, 2025.
Industries' Descriptions
@Packaged Software (+0.15% 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.
| FTFT | SQ | FTFT / SQ | |
| Capitalization | 19.7M | 52.1B | 0% |
| EBITDA | -11.58M | 790M | -1% |
| Gain YTD | -78.880 | 10.950 | -720% |
| P/E Ratio | N/A | 4073.00 | - |
| Revenue | 32M | 21.9B | 0% |
| Total Cash | 33.7M | 9.02B | 0% |
| Total Debt | 1.5M | 6.07B | 0% |
FTFT | SQ | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 69 | 66 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 99 Overvalued | 62 Fair valued | |
PROFIT vs RISK RATING 1..100 | 100 | 86 | |
SMR RATING 1..100 | 94 | 89 | |
PRICE GROWTH RATING 1..100 | 42 | 38 | |
P/E GROWTH RATING 1..100 | 1 | 100 | |
SEASONALITY SCORE 1..100 | n/a | 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.
SQ's Valuation (62) in the Information Technology Services industry is somewhat better than the same rating for FTFT (99) in the Beverages Non Alcoholic industry. This means that SQ’s stock grew somewhat faster than FTFT’s over the last 12 months.
SQ's Profit vs Risk Rating (86) in the Information Technology Services industry is in the same range as FTFT (100) in the Beverages Non Alcoholic industry. This means that SQ’s stock grew similarly to FTFT’s over the last 12 months.
SQ's SMR Rating (89) in the Information Technology Services industry is in the same range as FTFT (94) in the Beverages Non Alcoholic industry. This means that SQ’s stock grew similarly to FTFT’s over the last 12 months.
SQ's Price Growth Rating (38) in the Information Technology Services industry is in the same range as FTFT (42) in the Beverages Non Alcoholic industry. This means that SQ’s stock grew similarly to FTFT’s over the last 12 months.
FTFT's P/E Growth Rating (1) in the Beverages Non Alcoholic industry is significantly better than the same rating for SQ (100) in the Information Technology Services industry. This means that FTFT’s stock grew significantly faster than SQ’s over the last 12 months.
| FTFT | SQ | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 90% | 2 days ago 68% |
| Stochastic ODDS (%) | 2 days ago 82% | 2 days ago 73% |
| Momentum ODDS (%) | 2 days ago 86% | 2 days ago 80% |
| MACD ODDS (%) | 2 days ago 78% | 2 days ago 87% |
| TrendWeek ODDS (%) | 2 days ago 84% | 2 days ago 79% |
| TrendMonth ODDS (%) | 2 days ago 87% | 2 days ago 83% |
| Advances ODDS (%) | N/A | 3 days ago 78% |
| Declines ODDS (%) | 2 days ago 88% | 7 days ago 79% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 76% |
| Aroon ODDS (%) | 2 days ago 89% | 2 days ago 84% |
FTFT and
Correlation & Price change
A.I.dvisor indicates that over the last year, FTFT has been loosely correlated with BTDR. These tickers have moved in lockstep 42% of the time. This A.I.-generated data suggests there is some statistical probability that if FTFT jumps, then BTDR could also see price increases.
| Ticker / NAME | Correlation To FTFT | 1D Price Change % | ||
|---|---|---|---|---|
| FTFT | 100% | -14.11% | ||
| BTDR - FTFT | 42% Loosely correlated | -3.37% | ||
| ANY - FTFT | 37% Loosely correlated | -12.00% | ||
| DGHI - FTFT | 34% Loosely correlated | -6.93% | ||
| MSTR - FTFT | 33% Loosely correlated | -7.91% | ||
| SQ - FTFT | 28% Poorly correlated | -1.64% | ||
More | ||||
SQ and
Correlation & Price change
A.I.dvisor indicates that over the last year, SQ has been loosely correlated with AFRM. These tickers have moved in lockstep 56% of the time. This A.I.-generated data suggests there is some statistical probability that if SQ jumps, then AFRM could also see price increases.