Intelligent Living Stock Forecast - 20 Period Moving Average
| ILAG Stock | USD 1.05 0.03 2.94% |
The 20 Period Moving Average forecasted value of Intelligent Living Application on the next trading day is expected to be 1.04 with a mean absolute deviation of 0.03 and the sum of the absolute errors of 1.27. Intelligent Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Intelligent Living's historical fundamentals, such as revenue growth or operating cash flow patterns.
Intelligent |
Intelligent Living 20 Period Moving Average Price Forecast For the 23rd of November
Given 90 days horizon, the 20 Period Moving Average forecasted value of Intelligent Living Application on the next trading day is expected to be 1.04 with a mean absolute deviation of 0.03, mean absolute percentage error of 0, and the sum of the absolute errors of 1.27.Please note that although there have been many attempts to predict Intelligent 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 Intelligent Living's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Intelligent Living Stock Forecast Pattern
| Backtest Intelligent Living | Intelligent Living Price Prediction | Buy or Sell Advice |
Intelligent Living Forecasted Value
In the context of forecasting Intelligent Living'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. Intelligent Living's downside and upside margins for the forecasting period are 0.01 and 5.97, respectively. We have considered Intelligent Living'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 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Intelligent Living stock data series using in forecasting. Note that when a statistical model is used to represent Intelligent Living 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 | 76.514 |
| Bias | Arithmetic mean of the errors | 0.013 |
| MAD | Mean absolute deviation | 0.0302 |
| MAPE | Mean absolute percentage error | 0.0293 |
| SAE | Sum of the absolute errors | 1.2695 |
Predictive Modules for Intelligent Living
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Intelligent Living. 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 Intelligent Living
For every potential investor in Intelligent, whether a beginner or expert, Intelligent Living's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Intelligent Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Intelligent. Basic forecasting techniques help filter out the noise by identifying Intelligent Living's price trends.View Intelligent Living Related Equities
| Risk & Return | Correlation |
Intelligent Living 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 Intelligent Living'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 Intelligent Living's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Intelligent Living Market Strength Events
Market strength indicators help investors to evaluate how Intelligent Living stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Intelligent Living shares will generate the highest return on investment. By undertsting and applying Intelligent Living stock market strength indicators, traders can identify Intelligent Living Application entry and exit signals to maximize returns.
| Accumulation Distribution | 164.45 | |||
| Daily Balance Of Power | 0.75 | |||
| Rate Of Daily Change | 1.03 | |||
| Day Median Price | 1.04 | |||
| Day Typical Price | 1.04 | |||
| Price Action Indicator | 0.025 | |||
| Period Momentum Indicator | 0.03 |
Intelligent Living Risk Indicators
The analysis of Intelligent Living'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 Intelligent Living's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting intelligent 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 | 3.44 | |||
| Semi Deviation | 4.06 | |||
| Standard Deviation | 5.02 | |||
| Variance | 25.16 | |||
| Downside Variance | 20.92 | |||
| Semi Variance | 16.52 | |||
| Expected Short fall | (4.74) |
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.
Currently Active Assets on Macroaxis
When determining whether Intelligent Living is a strong investment it is important to analyze Intelligent Living's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Intelligent Living's future performance. For an informed investment choice regarding Intelligent Stock, refer to the following important reports:Check out Historical Fundamental Analysis of Intelligent Living to cross-verify your projections. You can also try the Portfolio Manager module to state of the art Portfolio Manager to monitor and improve performance of your invested capital.
Is Industrial Machinery & Supplies & Components 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 Intelligent Living. If investors know Intelligent 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 Intelligent Living listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.19) | Revenue Per Share 0.357 | Quarterly Revenue Growth (0.06) | Return On Assets (0.12) | Return On Equity (0.20) |
The market value of Intelligent Living is measured differently than its book value, which is the value of Intelligent that is recorded on the company's balance sheet. Investors also form their own opinion of Intelligent Living's value that differs from its market value or its book value, called intrinsic value, which is Intelligent Living'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 Intelligent Living's market value can be influenced by many factors that don't directly affect Intelligent Living'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 Intelligent Living's value and its price as these two are different measures arrived at by different means. Investors typically determine if Intelligent Living is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Intelligent Living'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.