$6.990
+0.010 (+0.14%)At close
Price Predictions
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WB Prediction & Forecast by Similar Chart Analysis
Alphio's WB stock price prediction model matches the current Weibo Corp tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $6.96 (-0.44%). The 1-week path is $6.34 (-9.29%). Longer windows use the same pattern set plus seasonality; the 1-month and multi-year forecasts sit behind unlock because they include precise min / avg / max bands.
Should I Buy Weibo Corp Stock?
Weibo Corp is currently trading at $6.99, which is below the recent analyst price target of $7.80. However, the stock has a low RSI of 21.859, indicating it may be oversold. The company's forward P/E ratio is 6.8587, suggesting it is undervalued compared to its earnings potential. The main risk is the declining advertising revenue, which fell 1% year-over-year to $381 million, indicating challenges in the ad market that could impact future profitability.
WB stock price ended at $6.99 on Friday, after rising +0.14%
Weibo Corp (WB) last closed at $6.99, gaining +0.14%. These facts feed the 1-day and 1-week WB price prediction above.
Analyst Consensus
Weibo Corp (WB): 16 buy, 2 hold, 1 sell. Outlook: Strong Buy.
Sell / Buy
Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.
Forecast Drivers
Weibo Corp (WB) forecast drivers combine similar chart patterns, seasonality, and moving averages.
Similar patterns
Bullish
Seasonality
Bearish
SMA 20
Bearish
SMA 200
Bearish
Similar Chart Patterns
Stocks whose recent price path most closely matches WB, ranked by similarity.
Seasonality analysis for WB
Historically the probability of a positive August return for WB is 33.33%. December offers the highest probability of a positive month at 95.35%, while April is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
This page is for research only and is not investment advice. Models can be wrong. Past performance does not guarantee future results.