What is better to buy IBM or LNT or TCS
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).
IBM’s FA Score shows that 3 FA rating(s) are green whileLNT’s FA Score has 0 green FA rating(s), and TCS’s FA Score reflects 0 green FA rating(s).
- IBM’s FA Score: 3 green, 2 red.
- LNT’s FA Score: 0 green, 5 red.
- TCS’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.
IBM’s TA Score shows that 4 TA indicator(s) are bullish while LNT’s TA Score has 6 bullish TA indicator(s), and TCS’s TA Score reflects 6 bullish TA indicator(s).
- IBM’s TA Score: 4 bullish, 5 bearish.
- LNT’s TA Score: 6 bullish, 2 bearish.
- TCS’s TA Score: 6 bullish, 2 bearish.
Price Growth
IBM (@Information Technology Services) experienced а -0.85% price change this week, while LNT (@Electric Utilities) price change was +3.54% , and TCS (@Specialty Stores) price fluctuated +2.87% for the same time period.
The average weekly price growth across all stocks in the @Information Technology Services industry was +1.21%. For the same industry, the average monthly price growth was -0.81%, and the average quarterly price growth was +9.58%.
The average weekly price growth across all stocks in the @Electric Utilities industry was +1.25%. For the same industry, the average monthly price growth was +1.87%, and the average quarterly price growth was +10.04%.
The average weekly price growth across all stocks in the @Specialty Stores industry was +2.48%. For the same industry, the average monthly price growth was -3.65%, and the average quarterly price growth was +19.95%.
Reported Earning Dates
IBM is expected to report earnings on Jul 24, 2024.
LNT is expected to report earnings on Aug 01, 2024.
TCS is expected to report earnings on Jul 30, 2024.
Industries' Descriptions
@Information Technology Services (+1.21% weekly)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.
@Electric Utilities (+1.25% weekly)Electric utilities companies generate, transmit and distribute electricity to businesses/offices and residences. Companies may be owned by the government or investors or public shareholders, or a combination thereof. The industry also includes firms that buy and sell electricity. Companies in this industry typically require significant investments in infrastructure. Many firms in this industry pay substantial and regular dividends to shareholders. However, changes in interest rates (and their impact on debt burdens), natural disasters and changing commodity prices could be factors affecting energy utilities’ profit margins. NextEra Energy, Inc., Duke Energy Corporation, Dominion Energy Inc. and Southern Company are among U.S. electric utilities companies with the largest market capitalizations.
@Specialty Stores (+2.48% weekly)The specialty stores sector includes companies dedicated to the sale of retail products focused on a single product category, such as clothing, carpet, books, or office supplies. A specialty store could face intense competition from big-box departmental chains, and therefore offering an adequate collection of the product type it specializes in is key in maintaining/growing its market.
| IBM | LNT | TCS | |
| Capitalization | 152B | 12.7B | 58.8M |
| EBITDA | N/A | 1.78B | -166.32M |
| Gain YTD | 2.244 | 0.100 | -60.965 |
| P/E Ratio | 18.79 | 17.87 | 2.25 |
| Revenue | N/A | 4.03B | 901M |
| Total Cash | N/A | 62M | 16M |
| Total Debt | 59.9B | 9.51B | 563M |
IBM | LNT | TCS | ||
|---|---|---|---|---|
OUTLOOK RATING 1..100 | 50 | 50 | 50 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 6 Undervalued | 44 Fair valued | 42 Fair valued | |
PROFIT vs RISK RATING 1..100 | 23 | 45 | 100 | |
SMR RATING 1..100 | 29 | 69 | 97 | |
PRICE GROWTH RATING 1..100 | 56 | 52 | 94 | |
P/E GROWTH RATING 1..100 | 96 | 65 | 91 | |
SEASONALITY SCORE 1..100 | n/a | 28 | n/a |
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 (6) in the Information Technology Services industry is somewhat better than the same rating for TCS (42) in the Specialty Stores industry, and is somewhat better than the same rating for LNT (44) in the Electric Utilities industry. This means that IBM's stock grew somewhat faster than TCS’s and somewhat faster than LNT’s over the last 12 months.
IBM's Profit vs Risk Rating (23) in the Information Technology Services industry is in the same range as LNT (45) in the Electric Utilities industry, and is significantly better than the same rating for TCS (100) in the Specialty Stores industry. This means that IBM's stock grew similarly to LNT’s and significantly faster than TCS’s over the last 12 months.
IBM's SMR Rating (29) in the Information Technology Services industry is somewhat better than the same rating for LNT (69) in the Electric Utilities industry, and is significantly better than the same rating for TCS (97) in the Specialty Stores industry. This means that IBM's stock grew somewhat faster than LNT’s and significantly faster than TCS’s over the last 12 months.
LNT's Price Growth Rating (52) in the Electric Utilities industry is in the same range as IBM (56) in the Information Technology Services industry, and is somewhat better than the same rating for TCS (94) in the Specialty Stores industry. This means that LNT's stock grew similarly to IBM’s and somewhat faster than TCS’s over the last 12 months.
LNT's P/E Growth Rating (65) in the Electric Utilities industry is in the same range as TCS (91) in the Specialty Stores industry, and is in the same range as IBM (96) in the Information Technology Services industry. This means that LNT's stock grew similarly to TCS’s and similarly to IBM’s over the last 12 months.
| IBM | LNT | TCS | |
|---|---|---|---|
| RSI ODDS (%) | 4 days ago 83% | N/A | 4 days ago 82% |
| Stochastic ODDS (%) | 4 days ago 64% | 4 days ago 37% | 4 days ago 72% |
| Momentum ODDS (%) | 4 days ago 49% | 4 days ago 49% | 4 days ago 72% |
| MACD ODDS (%) | N/A | 4 days ago 53% | 4 days ago 72% |
| TrendWeek ODDS (%) | 4 days ago 47% | 4 days ago 47% | 4 days ago 74% |
| TrendMonth ODDS (%) | 4 days ago 41% | 4 days ago 44% | 4 days ago 86% |
| Advances ODDS (%) | 4 days ago 61% | 5 days ago 50% | 5 days ago 73% |
| Declines ODDS (%) | 6 days ago 44% | 11 days ago 50% | 11 days ago 88% |
| BollingerBands ODDS (%) | 4 days ago 72% | N/A | 4 days ago 81% |
| Aroon ODDS (%) | 4 days ago 34% | 4 days ago 34% | 4 days ago 89% |
LNT and
Correlation & Price change
A.I.dvisor indicates that over the last year, LNT has been closely correlated with AEE. These tickers have moved in lockstep 93% of the time. This A.I.-generated data suggests there is a high statistical probability that if LNT jumps, then AEE could also see price increases.