What is the IP stock price forecast?

IP is forecasted using our adaptive model ensemble that generates 7-day, 14-day, and 28-day price predictions with confidence intervals and expected zone analysis. View the latest IP forecast on this page.

Is IP bullish or bearish?

Our current trade bias for IP is derived from the position of the current price relative to the forecasted expected zone. When price is above the zone midpoint, the bias is bullish; below, bearish. Check the forecast card above for the current signal.

How accurate are IP stock predictions?

Sigmanomics tracks all forecast accuracy transparently. View directional accuracy and zone containment metrics for IP and all other instruments on our Performance page at sigmanomics.com/performance.

IP Stock Forecast — Price Prediction & Analysis

Sigmacast: Mixed Market Signal

Models disagree — wait for clearer setup

IP

stocks

Current Price

May 02, 2026

Market Closed

31.75

Actual

April 02, 2026

—

1 Month Ago

May 02, 2025

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1 Year Ago

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Signal Tracker Record / PerformancePast Performance →

Forecasts generated by Sigmanomics engine. Not financial advice.

Market Overview The IP stock closed at 31.7550 on May 1, 2026, reflecting a gain of 4.39% from the previous close of 30.4200. Over the past 30 days, the stock has experienced a strong downtrend with a negative return of 5.93%, ranging between a low of 29.4500 and a high of 38.0600. Technical levels show the 20-day moving average at 34.8478, the 50-day at 37.1908, and the 200-day at 42.4888, with the price trading below the short-term average. The 14-day RSI stands at 36.6, in moderately bearish territory. Key support is at 29.4500, while resistance is near 38.0600. The Sigmanomics forecast model currently projects a bearish bias for the near term. Updated 5/1/26

Sam Bourgi, Analyst

Sam Bourgi is an analyst, writer and financial market commentator featured in and cited by U.S. Congress, Department of Justice, Chicago Board Options Exchange, Barron's and Forbes. He covers stocks, bonds, mutual funds, ETFs, forex, Bitcoin, cryptocurrency, real estate and macroeconomics. He has written over 25,000 articles and over 40 whitepapers and e-books.