United States Stock Forecast - Polynomial Regression
| USLM Stock | USD 150.33 10.46 7.48% |
The Polynomial Regression forecasted value of United States Lime on the next trading day is expected to be 159.88 with a mean absolute deviation of 4.13 and the sum of the absolute errors of 252.04. United Stock Forecast is based on your current time horizon.
United |
United States Polynomial Regression Price Forecast For the 23rd of November
Given 90 days horizon, the Polynomial Regression forecasted value of United States Lime on the next trading day is expected to be 159.88 with a mean absolute deviation of 4.13, mean absolute percentage error of 28.98, and the sum of the absolute errors of 252.04.Please note that although there have been many attempts to predict United 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 United States' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
United States Stock Forecast Pattern
| Backtest United States | United States Price Prediction | Buy or Sell Advice |
United States Forecasted Value
In the context of forecasting United States' 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. United States' downside and upside margins for the forecasting period are 156.83 and 162.93, respectively. We have considered United States' 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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of United States stock data series using in forecasting. Note that when a statistical model is used to represent United States 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 | 121.477 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 4.1317 |
| MAPE | Mean absolute percentage error | 0.0384 |
| SAE | Sum of the absolute errors | 252.0363 |
Predictive Modules for United States
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as United States Lime. 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.Other Forecasting Options for United States
For every potential investor in United, whether a beginner or expert, United States' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. United Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in United. Basic forecasting techniques help filter out the noise by identifying United States' price trends.United States 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 United States stock to make a market-neutral strategy. Peer analysis of United States could also be used in its relative valuation, which is a method of valuing United States by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
United States Lime 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 United States' 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 United States' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
United States Market Strength Events
Market strength indicators help investors to evaluate how United States stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading United States shares will generate the highest return on investment. By undertsting and applying United States stock market strength indicators, traders can identify United States Lime entry and exit signals to maximize returns.
| Accumulation Distribution | 0.0681 | |||
| Daily Balance Of Power | 1.014549 | |||
| Rate Of Daily Change | 1.07 | |||
| Day Median Price | 146.32 | |||
| Day Typical Price | 147.65 | |||
| Market Facilitation Index | 10.31 | |||
| Price Action Indicator | 9.25 | |||
| Period Momentum Indicator | 10.46 | |||
| Relative Strength Index | 78.09 |
United States Risk Indicators
The analysis of United States' 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 United States' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting united 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 | 2.06 | |||
| Semi Deviation | 1.38 | |||
| Standard Deviation | 3.05 | |||
| Variance | 9.31 | |||
| Downside Variance | 5.89 | |||
| Semi Variance | 1.91 | |||
| Expected Short fall | (2.37) |
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.
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Try AI Portfolio ArchitectCheck out Historical Fundamental Analysis of United States to cross-verify your projections. You can also try the Bonds Directory module to find actively traded corporate debentures issued by US companies.
Is Non-Metallic and Industrial Metal Mining space 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 United States. If investors know United 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 United States 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 United States Lime is measured differently than its book value, which is the value of United that is recorded on the company's balance sheet. Investors also form their own opinion of United States' value that differs from its market value or its book value, called intrinsic value, which is United States' 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 United States' market value can be influenced by many factors that don't directly affect United States' 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 United States' value and its price as these two are different measures arrived at by different means. Investors typically determine if United States is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, United States' 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.