NOV Stock Forecast - Simple Regression

NOV Stock  USD 15.54  0.39  2.45%   
The Simple Regression forecasted value of NOV Inc on the next trading day is expected to be 14.96 with a mean absolute deviation of 0.59 and the sum of the absolute errors of 35.74. NOV Stock Forecast is based on your current time horizon.
  
Asset Turnover is likely to climb to 0.89 in 2025, whereas Inventory Turnover is likely to drop 3.22 in 2025. . Net Income Applicable To Common Shares is likely to climb to about 170.8 M in 2025, whereas Common Stock Shares Outstanding is likely to drop slightly above 346.2 M in 2025.

Open Interest Against 2025-05-16 NOV Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast NOV's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in NOV's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for NOV stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current NOV's open interest, investors have to compare it to NOV's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of NOV is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in NOV. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Simple Regression model is a single variable regression model that attempts to put a straight line through NOV price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

NOV Simple Regression Price Forecast For the 18th of February 2025

Given 90 days horizon, the Simple Regression forecasted value of NOV Inc on the next trading day is expected to be 14.96 with a mean absolute deviation of 0.59, mean absolute percentage error of 0.44, and the sum of the absolute errors of 35.74.
Please note that although there have been many attempts to predict NOV Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that NOV's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

NOV Stock Forecast Pattern

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NOV Forecasted Value

In the context of forecasting NOV's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. NOV's downside and upside margins for the forecasting period are 12.62 and 17.30, respectively. We have considered NOV's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
15.54
14.96
Expected Value
17.30
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of NOV stock data series using in forecasting. Note that when a statistical model is used to represent NOV stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria117.296
BiasArithmetic mean of the errors None
MADMean absolute deviation0.5859
MAPEMean absolute percentage error0.0385
SAESum of the absolute errors35.742
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as NOV Inc historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for NOV

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as NOV Inc. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Hype
Prediction
LowEstimatedHigh
13.2015.5417.88
Details
Intrinsic
Valuation
LowRealHigh
15.1017.4419.78
Details
Bollinger
Band Projection (param)
LowMiddleHigh
13.9115.2316.55
Details
26 Analysts
Consensus
LowTargetHigh
17.7119.4621.60
Details

Other Forecasting Options for NOV

For every potential investor in NOV, whether a beginner or expert, NOV's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. NOV Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in NOV. Basic forecasting techniques help filter out the noise by identifying NOV's price trends.

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 Risk & Return  Correlation

NOV Inc Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of NOV's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of NOV's current price.

NOV Market Strength Events

Market strength indicators help investors to evaluate how NOV stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading NOV shares will generate the highest return on investment. By undertsting and applying NOV stock market strength indicators, traders can identify NOV Inc entry and exit signals to maximize returns.

NOV Risk Indicators

The analysis of NOV's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in NOV's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting nov stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Additional Tools for NOV Stock Analysis

When running NOV's price analysis, check to measure NOV's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy NOV is operating at the current time. Most of NOV's value examination focuses on studying past and present price action to predict the probability of NOV's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move NOV's price. Additionally, you may evaluate how the addition of NOV to your portfolios can decrease your overall portfolio volatility.