NorthWestern Stock Forecast - 8 Period Moving Average
| NWE Stock | USD 51.81 0.05 0.1% |
The 8 Period Moving Average forecasted value of NorthWestern on the next trading day is expected to be 51.48 with a mean absolute deviation of 0.68 and the sum of the absolute errors of 36.05. NorthWestern Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast NorthWestern stock prices and determine the direction of NorthWestern's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of NorthWestern's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of NorthWestern to cross-verify your projections. NorthWestern |
Most investors in NorthWestern cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the NorthWestern's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets NorthWestern's price structures and extracts relationships that further increase the generated results' accuracy.
An 8-period moving average forecast model for NorthWestern is based on an artificially constructed time series of NorthWestern daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time. NorthWestern 8 Period Moving Average Price Forecast For the 15th of May 2024
Given 90 days horizon, the 8 Period Moving Average forecasted value of NorthWestern on the next trading day is expected to be 51.48 with a mean absolute deviation of 0.68, mean absolute percentage error of 0.70, and the sum of the absolute errors of 36.05.Please note that although there have been many attempts to predict NorthWestern 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 NorthWestern's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
NorthWestern Stock Forecast Pattern
| Backtest NorthWestern | NorthWestern Price Prediction | Buy or Sell Advice |
NorthWestern Forecasted Value
In the context of forecasting NorthWestern'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. NorthWestern's downside and upside margins for the forecasting period are 50.28 and 52.68, respectively. We have considered NorthWestern'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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of NorthWestern stock data series using in forecasting. Note that when a statistical model is used to represent NorthWestern 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.| AIC | Akaike Information Criteria | 103.0515 |
| Bias | Arithmetic mean of the errors | -0.3134 |
| MAD | Mean absolute deviation | 0.6803 |
| MAPE | Mean absolute percentage error | 0.0137 |
| SAE | Sum of the absolute errors | 36.055 |
Predictive Modules for NorthWestern
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as NorthWestern. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of NorthWestern's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Other Forecasting Options for NorthWestern
For every potential investor in NorthWestern, whether a beginner or expert, NorthWestern's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. NorthWestern Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in NorthWestern. Basic forecasting techniques help filter out the noise by identifying NorthWestern's price trends.NorthWestern Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with NorthWestern stock to make a market-neutral strategy. Peer analysis of NorthWestern could also be used in its relative valuation, which is a method of valuing NorthWestern by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
NorthWestern 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 NorthWestern'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 NorthWestern's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
NorthWestern Market Strength Events
Market strength indicators help investors to evaluate how NorthWestern stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading NorthWestern shares will generate the highest return on investment. By undertsting and applying NorthWestern stock market strength indicators, traders can identify NorthWestern entry and exit signals to maximize returns.
| Daily Balance Of Power | (9,223,372,036,855) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 51.81 | |||
| Day Typical Price | 51.81 | |||
| Price Action Indicator | (0.03) | |||
| Period Momentum Indicator | (0.05) |
NorthWestern Risk Indicators
The analysis of NorthWestern'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 NorthWestern's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting northwestern 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.
| Mean Deviation | 0.7921 | |||
| Semi Deviation | 0.9438 | |||
| Standard Deviation | 1.2 | |||
| Variance | 1.45 | |||
| Downside Variance | 1.33 | |||
| Semi Variance | 0.8908 | |||
| Expected Short fall | (0.83) |
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.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Historical Fundamental Analysis of NorthWestern to cross-verify your projections. For information on how to trade NorthWestern Stock refer to our How to Trade NorthWestern Stock guide.You can also try the Bonds Directory module to find actively traded corporate debentures issued by US companies.
Complementary Tools for NorthWestern Stock analysis
When running NorthWestern's price analysis, check to measure NorthWestern'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 NorthWestern is operating at the current time. Most of NorthWestern's value examination focuses on studying past and present price action to predict the probability of NorthWestern's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move NorthWestern's price. Additionally, you may evaluate how the addition of NorthWestern to your portfolios can decrease your overall portfolio volatility.
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
| Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
| Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
| Sync Your Broker Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors. | |
| Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. | |
| Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
| ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
| Stock Screener Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook. | |
| FinTech Suite Use AI to screen and filter profitable investment opportunities | |
| Stock Tickers Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites |
Is NorthWestern's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of NorthWestern. If investors know NorthWestern will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about NorthWestern listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of NorthWestern is measured differently than its book value, which is the value of NorthWestern that is recorded on the company's balance sheet. Investors also form their own opinion of NorthWestern's value that differs from its market value or its book value, called intrinsic value, which is NorthWestern's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because NorthWestern's market value can be influenced by many factors that don't directly affect NorthWestern's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between NorthWestern's value and its price as these two are different measures arrived at by different means. Investors typically determine if NorthWestern is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, NorthWestern's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.