Qlife Holding Stock Forecast - Naive Prediction

QLIFE Stock  SEK 2.10  0.08  3.67%   
The Naive Prediction forecasted value of Qlife Holding AB on the next trading day is expected to be 2.04 with a mean absolute deviation of 0.12 and the sum of the absolute errors of 7.10. Qlife Stock Forecast is based on your current time horizon.
  
A naive forecasting model for Qlife Holding is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Qlife Holding AB value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Qlife Holding Naive Prediction Price Forecast For the 5th of December

Given 90 days horizon, the Naive Prediction forecasted value of Qlife Holding AB on the next trading day is expected to be 2.04 with a mean absolute deviation of 0.12, mean absolute percentage error of 0.02, and the sum of the absolute errors of 7.10.
Please note that although there have been many attempts to predict Qlife 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 Qlife Holding's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Qlife Holding Stock Forecast Pattern

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Qlife Holding Forecasted Value

In the context of forecasting Qlife Holding'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. Qlife Holding's downside and upside margins for the forecasting period are 0.02 and 8.73, respectively. We have considered Qlife Holding'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
2.10
2.04
Expected Value
8.73
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Qlife Holding stock data series using in forecasting. Note that when a statistical model is used to represent Qlife Holding 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 Criteria114.3545
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1164
MAPEMean absolute percentage error0.045
SAESum of the absolute errors7.0998
This model is not at all useful as a medium-long range forecasting tool of Qlife Holding AB. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Qlife Holding. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Qlife Holding

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Qlife Holding AB. 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 Qlife Holding'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.
Hype
Prediction
LowEstimatedHigh
0.112.188.87
Details
Intrinsic
Valuation
LowRealHigh
0.102.068.75
Details

Other Forecasting Options for Qlife Holding

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

Qlife Holding 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 Qlife Holding stock to make a market-neutral strategy. Peer analysis of Qlife Holding could also be used in its relative valuation, which is a method of valuing Qlife Holding by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Qlife Holding AB 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 Qlife Holding'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 Qlife Holding's current price.

Qlife Holding Market Strength Events

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

Qlife Holding Risk Indicators

The analysis of Qlife Holding'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 Qlife Holding's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting qlife 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

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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 Qlife Stock Analysis

When running Qlife Holding's price analysis, check to measure Qlife Holding'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 Qlife Holding is operating at the current time. Most of Qlife Holding's value examination focuses on studying past and present price action to predict the probability of Qlife Holding's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Qlife Holding's price. Additionally, you may evaluate how the addition of Qlife Holding to your portfolios can decrease your overall portfolio volatility.