Inolife Technologies Stock Forecast - 8 Period Moving Average
BTGN Stock | USD 0.0003 0.00 0.00% |
The 8 Period Moving Average forecasted value of Inolife Technologies on the next trading day is expected to be 0.0003 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. Inolife Stock Forecast is based on your current time horizon. Although Inolife Technologies' naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Inolife Technologies' systematic risk associated with finding meaningful patterns of Inolife Technologies fundamentals over time.
Inolife |
Inolife Technologies 8 Period Moving Average Price Forecast For the 28th of November
Given 90 days horizon, the 8 Period Moving Average forecasted value of Inolife Technologies on the next trading day is expected to be 0.0003 with a mean absolute deviation of 0.00, mean absolute percentage error of 0.00, and the sum of the absolute errors of 0.00.Please note that although there have been many attempts to predict Inolife 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 Inolife Technologies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Inolife Technologies Stock Forecast Pattern
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Inolife Technologies Forecasted Value
In the context of forecasting Inolife Technologies' 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. Inolife Technologies' downside and upside margins for the forecasting period are 0.0003 and 0.0003, respectively. We have considered Inolife Technologies' 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 Inolife Technologies stock data series using in forecasting. Note that when a statistical model is used to represent Inolife Technologies 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 | -9.223372036854776E14 |
Bias | Arithmetic mean of the errors | None |
MAD | Mean absolute deviation | 0.0 |
MAPE | Mean absolute percentage error | 0.0 |
SAE | Sum of the absolute errors | 0.0 |
Predictive Modules for Inolife Technologies
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Inolife Technologies. 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 Inolife Technologies
For every potential investor in Inolife, whether a beginner or expert, Inolife Technologies' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Inolife Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Inolife. Basic forecasting techniques help filter out the noise by identifying Inolife Technologies' price trends.Inolife Technologies 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 Inolife Technologies stock to make a market-neutral strategy. Peer analysis of Inolife Technologies could also be used in its relative valuation, which is a method of valuing Inolife Technologies by comparing valuation metrics with similar companies.
Risk & Return | Correlation |
Inolife Technologies 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 Inolife Technologies' 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 Inolife Technologies' current price.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Inolife Technologies Market Strength Events
Market strength indicators help investors to evaluate how Inolife Technologies stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Inolife Technologies shares will generate the highest return on investment. By undertsting and applying Inolife Technologies stock market strength indicators, traders can identify Inolife Technologies entry and exit signals to maximize returns.
Rate Of Daily Change | 1.0 | |||
Day Median Price | 3.0E-4 | |||
Day Typical Price | 3.0E-4 |
Pair Trading with Inolife Technologies
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Inolife Technologies position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Inolife Technologies will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Inolife Technologies could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Inolife Technologies when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Inolife Technologies - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Inolife Technologies to buy it.
The correlation of Inolife Technologies is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Inolife Technologies moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Inolife Technologies moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Inolife Technologies can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Historical Fundamental Analysis of Inolife Technologies to cross-verify your projections. To learn how to invest in Inolife Stock, please use our How to Invest in Inolife Technologies guide.You can also try the Portfolio Dashboard module to portfolio dashboard that provides centralized access to all your investments.
Is Investment Banking & Brokerage 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 Inolife Technologies. If investors know Inolife 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 Inolife Technologies listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Return On Assets -10.9 K |
The market value of Inolife Technologies is measured differently than its book value, which is the value of Inolife that is recorded on the company's balance sheet. Investors also form their own opinion of Inolife Technologies' value that differs from its market value or its book value, called intrinsic value, which is Inolife Technologies' 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 Inolife Technologies' market value can be influenced by many factors that don't directly affect Inolife Technologies' 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 Inolife Technologies' value and its price as these two are different measures arrived at by different means. Investors typically determine if Inolife Technologies is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Inolife Technologies' 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.