$26.710
+0.294 (+1.10%)At close
Price Predictions
Open in app to unlock longer-horizon forecasts.
WPP Prediction & Forecast by Similar Chart Analysis
Alphio's WPP stock price prediction model matches the current WPP PLC tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $26.82 (+0.42%). The 1-week path is $26.78 (+0.27%). 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 WPP PLC Stock?
WPP PLC is a good buy right now due to its recent strong performance, with a current price of 27.28 and a year-to-date change of +19.07%. The stock has an RSI of 74.836, indicating strong momentum, and a forward P/E of 4.3706, suggesting it is undervalued compared to its earnings potential. The main risk is the analyst rating from Goldman Sachs, which has a target of £240, indicating a potential downside from current levels.
WPP stock price ended at $26.71 on Thursday, after rising +1.10%
WPP PLC (WPP) last closed at $26.71, gaining +1.10%. These facts feed the 1-day and 1-week WPP price prediction above.
Analyst Consensus
WPP PLC (WPP): 2 buy, 1 hold, 0 sell. Outlook: Buy.
Sell / Buy
Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.
Forecast Drivers
WPP PLC (WPP) forecast drivers combine similar chart patterns, seasonality, and moving averages.
Similar patterns
Bullish
Seasonality
Bullish
SMA 20
Bullish
SMA 200
Bullish
Similar Chart Patterns
Stocks whose recent price path most closely matches WPP, ranked by similarity.
Seasonality analysis for WPP
Historically the probability of a positive October return for WPP is 62.90%. September offers the highest probability of a positive month at 62.90%, while March 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.