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GIGM vs LYFT
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 GIGM is a StrongBuy and LYFT is a Hold.
GIGM | LYFT | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 21 | 54 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 90 Overvalued | 36 Fair valued | |
PROFIT vs RISK RATING 1..100 | 100 | 100 | |
SMR RATING 1..100 | 92 | 11 | |
PRICE GROWTH RATING 1..100 | 72 | 61 | |
P/E GROWTH RATING 1..100 | 17 | 100 | |
SEASONALITY SCORE 1..100 | n/a | 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.
LYFT's Valuation (36) in the Packaged Software industry is somewhat better than the same rating for GIGM (90) in the Recreational Products industry. This means that LYFT’s stock grew somewhat faster than GIGM’s over the last 12 months.
LYFT's Profit vs Risk Rating (100) in the Packaged Software industry is in the same range as GIGM (100) in the Recreational Products industry. This means that LYFT’s stock grew similarly to GIGM’s over the last 12 months.
LYFT's SMR Rating (11) in the Packaged Software industry is significantly better than the same rating for GIGM (92) in the Recreational Products industry. This means that LYFT’s stock grew significantly faster than GIGM’s over the last 12 months.
LYFT's Price Growth Rating (61) in the Packaged Software industry is in the same range as GIGM (72) in the Recreational Products industry. This means that LYFT’s stock grew similarly to GIGM’s over the last 12 months.
GIGM's P/E Growth Rating (17) in the Recreational Products industry is significantly better than the same rating for LYFT (100) in the Packaged Software industry. This means that GIGM’s stock grew significantly faster than LYFT’s over the last 12 months.
| GIGM | LYFT | |
|---|---|---|
| RSI ODDS (%) | N/A | 1 day ago 78% |
| Stochastic ODDS (%) | 1 day ago 74% | 1 day ago 85% |
| Momentum ODDS (%) | 1 day ago 67% | 1 day ago 88% |
| MACD ODDS (%) | 1 day ago 56% | 1 day ago 83% |
| TrendWeek ODDS (%) | 1 day ago 52% | 1 day ago 85% |
| TrendMonth ODDS (%) | 1 day ago 53% | 1 day ago 85% |
| Advances ODDS (%) | N/A | 11 days ago 78% |
| Declines ODDS (%) | 10 days ago 55% | 1 day ago 82% |
| BollingerBands ODDS (%) | 1 day ago 53% | 1 day ago 83% |
| Aroon ODDS (%) | 1 day ago 56% | 1 day ago 65% |
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 overvalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
GIGM’s FA Score shows that 1 FA rating(s) are green while LYFT’s FA Score has 1 green FA rating(s).
- GIGM’s FA Score: 1 green, 4 red.
- LYFT’s FA Score: 1 green, 4 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.
GIGM’s TA Score shows that 3 TA indicator(s) are bullish while LYFT’s TA Score has 6 bullish TA indicator(s).
- GIGM’s TA Score: 3 bullish, 5 bearish.
- LYFT’s TA Score: 6 bullish, 5 bearish.
Price Growth
GIGM (@Electronics/Appliances) experienced а -5.00% price change this week, while LYFT (@Packaged Software) price change was -5.86% for the same time period.
The average weekly price growth across all stocks in the @Electronics/Appliances industry was +0.79%. For the same industry, the average monthly price growth was -5.80%, and the average quarterly price growth was +9.36%.
The average weekly price growth across all stocks in the @Packaged Software industry was -0.34%. For the same industry, the average monthly price growth was -7.07%, and the average quarterly price growth was +10.83%.
Reported Earning Dates
LYFT is expected to report earnings on Nov 11, 2026.
Industries' Descriptions
@Electronics/Appliances (+0.79% weekly)TVs, telephones, washing machines, home speakers and even home-office equipment like computers and printers…the list is virtually endless when it comes to consumer electronics and appliances. And, with ‘smarthomes’ increasingly becoming the reality, we could see a sharp surge in high-tech gadgets (including robotic appliances) making their way into our homes– and therefore spelling plenty opportunities in the related industries. Consumers account for 70% of US GDP, and their purchases of high-functioning electronics could make significant dents in the economy’s health. Sony Corp., Whirlpool and iRobot are some of the major consumer electronics/appliances makers.
@Packaged Software (-0.34% 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.
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| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| DLUX | 50.13 | -0.02 | -0.05% |
| DoubleLine Ultrashort Income ETF (DLUX) | |||
| JPIE | 45.12 | -0.22 | -0.49% |
| JPMorgan Income ETF (JPIE) | |||
| GTOP | 51.12 | -0.42 | -0.81% |
| Goldman Sachs Technology Opportunities ETF (GTOP) | |||
| MDPL | 28.02 | -0.24 | -0.85% |
| Monarch Dividend Plus ETF (MDPL) | |||
| PYPG | 6.92 | -0.11 | -1.56% |
| Leverage Shares 2X Long PYPL Daily ETF (PYPG) | |||
GIGM and
Correlation & Price change
A.I.dvisor tells us that GIGM and ARBE have been poorly correlated (+27% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that GIGM and ARBE's prices will move in lockstep.
| Ticker / NAME | Correlation To GIGM | 1D Price Change % | ||
|---|---|---|---|---|
| GIGM | 100% | +0.76% | ||
| ARBE - GIGM | 27% Poorly correlated | -2.28% | ||
| LYFT - GIGM | 26% Poorly correlated | -0.87% | ||
| VS - GIGM | 25% Poorly correlated | +0.91% | ||
| VERI - GIGM | 23% Poorly correlated | +0.78% | ||
| BLIN - GIGM | 22% Poorly correlated | -0.64% | ||
More | ||||
LYFT and
Correlation & Price change
A.I.dvisor indicates that over the last year, LYFT has been loosely correlated with UBER. These tickers have moved in lockstep 58% of the time. This A.I.-generated data suggests there is some statistical probability that if LYFT jumps, then UBER could also see price increases.
| Ticker / NAME | Correlation To LYFT | 1D Price Change % | ||
|---|---|---|---|---|
| LYFT | 100% | -0.87% | ||
| UBER - LYFT | 58% Loosely correlated | -0.67% | ||
| EVCM - LYFT | 53% Loosely correlated | +3.23% | ||
| COIN - LYFT | 51% Loosely correlated | -1.46% | ||
| TOST - LYFT | 49% Loosely correlated | +0.54% | ||
| SNPS - LYFT | 46% Loosely correlated | +0.93% | ||
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