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).
CHPT’s FA Score shows that 1 FA rating(s) are green whileXPEV’s FA Score has 0 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.
CHPT’s TA Score shows that 2 TA indicator(s) are bullish while XPEV’s TA Score has 6 bullish TA indicator(s).
CHPT (@Specialty Stores) experienced а -2.29% price change this week, while XPEV (@Motor Vehicles) price change was +5.07% for the same time period.
The average weekly price growth across all stocks in the @Specialty Stores industry was -0.37%. For the same industry, the average monthly price growth was +9.63%, and the average quarterly price growth was +6.89%.
The average weekly price growth across all stocks in the @Motor Vehicles industry was +3.72%. For the same industry, the average monthly price growth was +5.84%, and the average quarterly price growth was -11.43%.
CHPT is expected to report earnings on Dec 05, 2024.
XPEV is expected to report earnings on Mar 10, 2025.
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.
@Motor Vehicles (+3.72% weekly)Automobiles continue to be arguably the most popular form of passenger travel in the U.S., and major automobile makers have revenues and market capitalizations running into multi-billions. In recent years, the industry has been experiencing some path-breaking innovations like electric vehicles and self-driving technology. While there are long-standing companies like General Motors, Ford, and Toyota Motors operating in this space, there are also emerging/rapidly growing players like Tesla – which has had a major role in the growing popularity of the electric vehicle market. With technological advancements taking steam in the auto space, we’ve also witnessed collaborations (or talks of potential partnerships) of carmakers with tech behemoths like Google’s subsidiary, Waymo.
CHPT | XPEV | CHPT / XPEV | |
Capitalization | 800M | 7.74B | 10% |
EBITDA | -329.2M | -9.69B | 3% |
Gain YTD | -45.299 | -16.861 | 269% |
P/E Ratio | N/A | N/A | - |
Revenue | 559M | 21.1B | 3% |
Total Cash | 233M | 24.5B | 1% |
Total Debt | 315M | 14.2B | 2% |
CHPT | XPEV | |
---|---|---|
RSI ODDS (%) | N/A | 2 days ago90% |
Stochastic ODDS (%) | 2 days ago67% | 2 days ago82% |
Momentum ODDS (%) | 2 days ago68% | 2 days ago77% |
MACD ODDS (%) | N/A | 2 days ago90% |
TrendWeek ODDS (%) | 2 days ago82% | 2 days ago80% |
TrendMonth ODDS (%) | 2 days ago85% | 2 days ago78% |
Advances ODDS (%) | 23 days ago78% | 2 days ago81% |
Declines ODDS (%) | 7 days ago88% | 13 days ago88% |
BollingerBands ODDS (%) | N/A | 2 days ago80% |
Aroon ODDS (%) | N/A | 2 days ago73% |
A.I.dvisor indicates that over the last year, XPEV has been closely correlated with NIO. These tickers have moved in lockstep 72% of the time. This A.I.-generated data suggests there is a high statistical probability that if XPEV jumps, then NIO could also see price increases.
Ticker / NAME | Correlation To XPEV | 1D Price Change % | ||
---|---|---|---|---|
XPEV | 100% | +8.98% | ||
NIO - XPEV | 72% Closely correlated | +10.46% | ||
GELYY - XPEV | 63% Loosely correlated | +0.91% | ||
BYDDF - XPEV | 62% Loosely correlated | +1.97% | ||
BYDDY - XPEV | 62% Loosely correlated | +1.69% | ||
LI - XPEV | 61% Loosely correlated | +1.18% | ||
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