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).
IBM’s FA Score shows that 3 FA rating(s) are green whileSAIC’s FA Score has 3 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.
IBM’s TA Score shows that 5 TA indicator(s) are bullish while SAIC’s TA Score has 4 bullish TA indicator(s).
IBM (@Information Technology Services) experienced а -8.13% price change this week, while SAIC (@Information Technology Services) price change was -1.49% for the same time period.
The average weekly price growth across all stocks in the @Information Technology Services industry was +0.90%. For the same industry, the average monthly price growth was +13.22%, and the average quarterly price growth was +68.93%.
IBM is expected to report earnings on Jan 28, 2025.
SAIC is expected to report earnings on Dec 05, 2024.
The industry, whose total market cap runs into trillions, makes hardware/software that allows data to be stored, retrieved, transmitted, and manipulated on computers. With the ever-increasing relevance of data, the information technology (IT) industry has gained momentous growth over the years, and continues to thrive on innovation. Some of the behemoths in the industry are International Business Machines Corporation, Accenture, and VMware, Inc.
IBM | SAIC | IBM / SAIC | |
Capitalization | 203B | 6.82B | 2,976% |
EBITDA | 15.1B | 855M | 1,766% |
Gain YTD | 33.832 | 17.858 | 189% |
P/E Ratio | 24.40 | 24.91 | 98% |
Revenue | 62.4B | 7.26B | 859% |
Total Cash | 13.7B | 49M | 27,959% |
Total Debt | 59.8B | 2.22B | 2,695% |
IBM | SAIC | ||
---|---|---|---|
OUTLOOK RATING 1..100 | 65 | 83 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 11 Undervalued | 13 Undervalued | |
PROFIT vs RISK RATING 1..100 | 10 | 18 | |
SMR RATING 1..100 | 26 | 38 | |
PRICE GROWTH RATING 1..100 | 43 | 43 | |
P/E GROWTH RATING 1..100 | 96 | 12 | |
SEASONALITY SCORE 1..100 | 50 | 30 |
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.
IBM's Valuation (11) in the Information Technology Services industry is in the same range as SAIC (13). This means that IBM’s stock grew similarly to SAIC’s over the last 12 months.
IBM's Profit vs Risk Rating (10) in the Information Technology Services industry is in the same range as SAIC (18). This means that IBM’s stock grew similarly to SAIC’s over the last 12 months.
IBM's SMR Rating (26) in the Information Technology Services industry is in the same range as SAIC (38). This means that IBM’s stock grew similarly to SAIC’s over the last 12 months.
IBM's Price Growth Rating (43) in the Information Technology Services industry is in the same range as SAIC (43). This means that IBM’s stock grew similarly to SAIC’s over the last 12 months.
SAIC's P/E Growth Rating (12) in the Information Technology Services industry is significantly better than the same rating for IBM (96). This means that SAIC’s stock grew significantly faster than IBM’s over the last 12 months.
IBM | SAIC | |
---|---|---|
RSI ODDS (%) | 2 days ago73% | 2 days ago65% |
Stochastic ODDS (%) | 2 days ago61% | 2 days ago73% |
Momentum ODDS (%) | 2 days ago40% | 2 days ago59% |
MACD ODDS (%) | 2 days ago56% | 2 days ago51% |
TrendWeek ODDS (%) | 2 days ago46% | 2 days ago55% |
TrendMonth ODDS (%) | 2 days ago43% | 2 days ago61% |
Advances ODDS (%) | 7 days ago63% | 12 days ago69% |
Declines ODDS (%) | 2 days ago43% | 7 days ago55% |
BollingerBands ODDS (%) | 2 days ago64% | 2 days ago53% |
Aroon ODDS (%) | 2 days ago66% | 2 days ago58% |
A.I.dvisor indicates that over the last year, IBM has been loosely correlated with ACN. These tickers have moved in lockstep 42% of the time. This A.I.-generated data suggests there is some statistical probability that if IBM jumps, then ACN could also see price increases.
Ticker / NAME | Correlation To IBM | 1D Price Change % | ||
---|---|---|---|---|
IBM | 100% | -0.82% | ||
ACN - IBM | 42% Loosely correlated | +0.14% | ||
GIB - IBM | 40% Loosely correlated | +0.68% | ||
CTSH - IBM | 39% Loosely correlated | +0.21% | ||
EXLS - IBM | 35% Loosely correlated | +0.36% | ||
WNS - IBM | 34% Loosely correlated | +2.54% | ||
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A.I.dvisor indicates that over the last year, SAIC has been loosely correlated with LDOS. These tickers have moved in lockstep 55% of the time. This A.I.-generated data suggests there is some statistical probability that if SAIC jumps, then LDOS could also see price increases.
Ticker / NAME | Correlation To SAIC | 1D Price Change % | ||
---|---|---|---|---|
SAIC | 100% | +0.77% | ||
LDOS - SAIC | 55% Loosely correlated | +0.60% | ||
CACI - SAIC | 52% Loosely correlated | +0.08% | ||
DTSOF - SAIC | 44% Loosely correlated | N/A | ||
CNXC - SAIC | 37% Loosely correlated | -0.07% | ||
PSN - SAIC | 35% Loosely correlated | +0.46% | ||
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