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).
PDD’s FA Score shows that 1 FA rating(s) are green while.
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.
PDD’s TA Score shows that 4 TA indicator(s) are bullish.
PDD (@Internet Retail) experienced а -7.34% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Internet Retail industry was +2.17%. For the same industry, the average monthly price growth was -1.24%, and the average quarterly price growth was +0.40%.
PDD is expected to report earnings on Mar 12, 2025.
The internet retail industry includes companies that sell products and services through the Internet. With more and more consumers using online retailers, the companies have seen a big increase in the use of their services. Some of the companies in the group are focused on selling business-to-business products and services. Others sell business-to-consumer products and services. Internet retailers offer a wide variety of products like books, apparel, and electronics. Some companies even specialize in only one or two categories. One potentially critical factor for players to thrive in this space is the quality and speed of product delivery. This requires an investment in efficient distribution networks. Things like logistics are important factors in the success in the extremely competitive industry. For a company to stay relevant in the industry it must have effective pricing strategies and upgraded websites. The websites must be easy to navigate and engaging for customers. In addition to the revenues generated from straight sales, internet retailers can generate revenue from subscription fees and advertising. Amazon.com, Inc., Alibaba Group, and JD.com are some of the global leaders.
PDD | ||
---|---|---|
OUTLOOK RATING 1..100 | 53 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 69 Overvalued | |
PROFIT vs RISK RATING 1..100 | 65 | |
SMR RATING 1..100 | 20 | |
PRICE GROWTH RATING 1..100 | 78 | |
P/E GROWTH RATING 1..100 | 96 | |
SEASONALITY SCORE 1..100 | 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.
PDD | PPEM | |
---|---|---|
RSI ODDS (%) | 2 days ago89% | N/A |
Stochastic ODDS (%) | 2 days ago82% | 2 days ago76% |
Momentum ODDS (%) | 2 days ago81% | 2 days ago71% |
MACD ODDS (%) | N/A | N/A |
TrendWeek ODDS (%) | 2 days ago81% | 2 days ago82% |
TrendMonth ODDS (%) | 2 days ago83% | 2 days ago69% |
Advances ODDS (%) | 4 days ago80% | 4 days ago82% |
Declines ODDS (%) | 2 days ago82% | 2 days ago73% |
BollingerBands ODDS (%) | 2 days ago90% | 2 days ago86% |
Aroon ODDS (%) | 2 days ago87% | 2 days ago85% |
A.I.dvisor indicates that over the last year, PDD has been loosely correlated with BABA. These tickers have moved in lockstep 48% of the time. This A.I.-generated data suggests there is some statistical probability that if PDD jumps, then BABA could also see price increases.
Ticker / NAME | Correlation To PDD | 1D Price Change % | ||
---|---|---|---|---|
PDD | 100% | -10.64% | ||
BABA - PDD | 48% Loosely correlated | -1.37% | ||
JD - PDD | 44% Loosely correlated | +0.57% | ||
VIPS - PDD | 40% Loosely correlated | -0.44% | ||
BZUN - PDD | 35% Loosely correlated | -8.11% | ||
MPNGY - PDD | 30% Poorly correlated | -1.46% | ||
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A.I.dvisor indicates that over the last year, PPEM has been loosely correlated with PDD. These tickers have moved in lockstep 41% of the time. This A.I.-generated data suggests there is some statistical probability that if PPEM jumps, then PDD could also see price increases.
Ticker / NAME | Correlation To PPEM | 1D Price Change % | ||
---|---|---|---|---|
PPEM | 100% | -0.09% | ||
PDD - PPEM | 41% Loosely correlated | -10.64% | ||
IBN - PPEM | 10% Poorly correlated | +0.30% | ||
RDY - PPEM | 9% Poorly correlated | -2.17% | ||
NTES - PPEM | 9% Poorly correlated | +1.27% | ||
BABA - PPEM | 6% Poorly correlated | -1.37% | ||
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