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CANG vs NCPL
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 NCPL is a StrongBuy.
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).
CANG’s FA Score shows that 0 FA rating(s) are green whileNCPL’s FA Score has 0 green FA rating(s).
- CANG’s FA Score: 0 green, 5 red.
- NCPL’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.
CANG’s TA Score shows that 3 TA indicator(s) are bullish while NCPL’s TA Score has 3 bullish TA indicator(s).
- CANG’s TA Score: 3 bullish, 4 bearish.
- NCPL’s TA Score: 3 bullish, 3 bearish.
Price Growth
CANG (@Investment Banks/Brokers) experienced а -14.29% price change this week, while NCPL (@Investment Banks/Brokers) price change was -17.15% for the same time period.
The average weekly price growth across all stocks in the @Investment Banks/Brokers industry was -7.41%. For the same industry, the average monthly price growth was -9.08%, and the average quarterly price growth was +2.06%.
Reported Earning Dates
CANG is expected to report earnings on Mar 05, 2026.
Industries' Descriptions
@Investment Banks/Brokers (-7.41% 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.
| CANG | NCPL | CANG / NCPL | |
| Capitalization | 395M | 5.06M | 7,813% |
| EBITDA | 5.02M | -29.22M | -17% |
| Gain YTD | -24.000 | -2.304 | 1,042% |
| P/E Ratio | 11.51 | N/A | - |
| Revenue | 1.79B | 798K | 224,812% |
| Total Cash | 2.52B | 1.68M | 149,703% |
| Total Debt | 834M | 2.42M | 34,463% |
CANG | NCPL | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 57 | 93 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 75 Overvalued | 72 Overvalued | |
PROFIT vs RISK RATING 1..100 | 100 | 100 | |
SMR RATING 1..100 | 89 | 99 | |
PRICE GROWTH RATING 1..100 | 95 | 65 | |
P/E GROWTH RATING 1..100 | 39 | 100 | |
SEASONALITY SCORE 1..100 | 85 | 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.
NCPL's Valuation (72) in the null industry is in the same range as CANG (75) in the Packaged Software industry. This means that NCPL’s stock grew similarly to CANG’s over the last 12 months.
NCPL's Profit vs Risk Rating (100) in the null industry is in the same range as CANG (100) in the Packaged Software industry. This means that NCPL’s stock grew similarly to CANG’s over the last 12 months.
CANG's SMR Rating (89) in the Packaged Software industry is in the same range as NCPL (99) in the null industry. This means that CANG’s stock grew similarly to NCPL’s over the last 12 months.
NCPL's Price Growth Rating (65) in the null industry is in the same range as CANG (95) in the Packaged Software industry. This means that NCPL’s stock grew similarly to CANG’s over the last 12 months.
CANG's P/E Growth Rating (39) in the Packaged Software industry is somewhat better than the same rating for NCPL (100) in the null industry. This means that CANG’s stock grew somewhat faster than NCPL’s over the last 12 months.
| CANG | NCPL | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 80% | N/A |
| Stochastic ODDS (%) | 2 days ago 84% | 2 days ago 85% |
| Momentum ODDS (%) | 2 days ago 81% | 2 days ago 88% |
| MACD ODDS (%) | 2 days ago 84% | 2 days ago 75% |
| TrendWeek ODDS (%) | 2 days ago 81% | 2 days ago 90% |
| TrendMonth ODDS (%) | 2 days ago 82% | 2 days ago 90% |
| Advances ODDS (%) | N/A | 9 days ago 77% |
| Declines ODDS (%) | 4 days ago 86% | 2 days ago 90% |
| BollingerBands ODDS (%) | 2 days ago 82% | N/A |
| Aroon ODDS (%) | 2 days ago 83% | 2 days ago 90% |
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CANG and
Correlation & Price change
A.I.dvisor indicates that over the last year, CANG has been closely correlated with ANY. These tickers have moved in lockstep 77% of the time. This A.I.-generated data suggests there is a high statistical probability that if CANG jumps, then ANY could also see price increases.
| Ticker / NAME | Correlation To CANG | 1D Price Change % | ||
|---|---|---|---|---|
| CANG | 100% | -3.39% | ||
| ANY - CANG | 77% Closely correlated | -4.83% | ||
| HIVE - CANG | 73% Closely correlated | -7.10% | ||
| MARA - CANG | 71% Closely correlated | -8.51% | ||
| BTBT - CANG | 64% Loosely correlated | -8.29% | ||
| NCPL - CANG | 63% Loosely correlated | -6.58% | ||
More | ||||
NCPL and
Correlation & Price change
A.I.dvisor indicates that over the last year, NCPL has been loosely correlated with CANG. These tickers have moved in lockstep 63% of the time. This A.I.-generated data suggests there is some statistical probability that if NCPL jumps, then CANG could also see price increases.
| Ticker / NAME | Correlation To NCPL | 1D Price Change % | ||
|---|---|---|---|---|
| NCPL | 100% | -6.58% | ||
| CANG - NCPL | 63% Loosely correlated | -3.39% | ||
| HIVE - NCPL | 61% Loosely correlated | -7.10% | ||
| ANY - NCPL | 60% Loosely correlated | -4.83% | ||
| AURE - NCPL | 56% Loosely correlated | +0.55% | ||
| MARA - NCPL | 55% Loosely correlated | -8.51% | ||
More | ||||