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CANG vs MS
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 CANG is a Hold and MS is a Hold.
| CANG | MS | CANG / MS | |
| Capitalization | 75.1M | 337B | 0% |
| EBITDA | -564.06M | N/A | - |
| Gain YTD | -87.800 | 22.747 | -386% |
| P/E Ratio | 11.51 | 17.32 | 66% |
| Revenue | 557M | 73.1B | 1% |
| Total Cash | 10.1M | 4.29B | 0% |
| Total Debt | 51.1M | 422B | 0% |
CANG | MS | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 42 | 74 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 69 Overvalued | 88 Overvalued | |
PROFIT vs RISK RATING 1..100 | 100 | 8 | |
SMR RATING 1..100 | 99 | 5 | |
PRICE GROWTH RATING 1..100 | 65 | 42 | |
P/E GROWTH RATING 1..100 | 29 | 42 | |
SEASONALITY SCORE 1..100 | 24 | 75 |
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.
CANG's Valuation (69) in the Packaged Software industry is in the same range as MS (88) in the Investment Banks Or Brokers industry. This means that CANG’s stock grew similarly to MS’s over the last 12 months.
MS's Profit vs Risk Rating (8) in the Investment Banks Or Brokers industry is significantly better than the same rating for CANG (100) in the Packaged Software industry. This means that MS’s stock grew significantly faster than CANG’s over the last 12 months.
MS's SMR Rating (5) in the Investment Banks Or Brokers industry is significantly better than the same rating for CANG (99) in the Packaged Software industry. This means that MS’s stock grew significantly faster than CANG’s over the last 12 months.
MS's Price Growth Rating (42) in the Investment Banks Or Brokers industry is in the same range as CANG (65) in the Packaged Software industry. This means that MS’s stock grew similarly to CANG’s over the last 12 months.
CANG's P/E Growth Rating (29) in the Packaged Software industry is in the same range as MS (42) in the Investment Banks Or Brokers industry. This means that CANG’s stock grew similarly to MS’s over the last 12 months.
| CANG | MS | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 89% | N/A |
| Stochastic ODDS (%) | 2 days ago 76% | 2 days ago 57% |
| Momentum ODDS (%) | 2 days ago 80% | 2 days ago 56% |
| MACD ODDS (%) | 2 days ago 83% | 2 days ago 55% |
| TrendWeek ODDS (%) | 2 days ago 82% | 2 days ago 55% |
| TrendMonth ODDS (%) | 2 days ago 82% | 2 days ago 55% |
| Advances ODDS (%) | 9 days ago 80% | 9 days ago 65% |
| Declines ODDS (%) | 3 days ago 87% | 3 days ago 58% |
| BollingerBands ODDS (%) | 2 days ago 82% | 2 days ago 75% |
| Aroon ODDS (%) | 2 days ago 84% | N/A |
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).
CANG’s FA Score shows that 1 FA rating(s) are green while MS’s FA Score has 2 green FA rating(s).
- CANG’s FA Score: 1 green, 4 red.
- MS’s FA Score: 2 green, 3 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.
CANG’s TA Score shows that 4 TA indicator(s) are bullish while MS’s TA Score has 2 bullish TA indicator(s).
- CANG’s TA Score: 4 bullish, 6 bearish.
- MS’s TA Score: 2 bullish, 6 bearish.
Price Growth
CANG (@Investment Banks/Brokers) experienced а -16.44% price change this week, while MS (@Investment Banks/Brokers) price change was -1.53% for the same time period.
The average weekly price growth across all stocks in the @Investment Banks/Brokers industry was -3.95%. For the same industry, the average monthly price growth was +8.81%, and the average quarterly price growth was +2.71%.
Reported Earning Dates
CANG is expected to report earnings on Dec 01, 2026.
MS is expected to report earnings on Oct 14, 2026.
Industries' Descriptions
@Investment Banks/Brokers (-3.95% 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.
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CANG and
Correlation & Price change
A.I.dvisor tells us that CANG and BMNR have been poorly correlated (+32% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that CANG and BMNR's prices will move in lockstep.
| Ticker / NAME | Correlation To CANG | 1D Price Change % | ||
|---|---|---|---|---|
| CANG | 100% | +1.67% | ||
| BMNR - CANG | 32% Poorly correlated | +3.43% | ||
| HOOD - CANG | 32% Poorly correlated | -0.67% | ||
| NMR - CANG | 30% Poorly correlated | +3.04% | ||
| CIFR - CANG | 29% Poorly correlated | +5.71% | ||
| MS - CANG | 29% Poorly correlated | +0.81% | ||
More | ||||
MS and
Correlation & Price change
A.I.dvisor indicates that over the last year, MS has been closely correlated with GS. These tickers have moved in lockstep 85% of the time. This A.I.-generated data suggests there is a high statistical probability that if MS jumps, then GS could also see price increases.