Storytel Stock Forecast - Simple Regression

STORY-B Stock  SEK 61.20  0.40  0.66%   
The Simple Regression forecasted value of Storytel AB on the next trading day is expected to be 69.17 with a mean absolute deviation of 2.82 and the sum of the absolute errors of 171.75. Storytel Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Storytel stock prices and determine the direction of Storytel AB's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Storytel's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through Storytel price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Storytel Simple Regression Price Forecast For the 24th of November

Given 90 days horizon, the Simple Regression forecasted value of Storytel AB on the next trading day is expected to be 69.17 with a mean absolute deviation of 2.82, mean absolute percentage error of 11.72, and the sum of the absolute errors of 171.75.
Please note that although there have been many attempts to predict Storytel 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 Storytel's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Storytel Stock Forecast Pattern

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Storytel Forecasted Value

In the context of forecasting Storytel'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. Storytel's downside and upside margins for the forecasting period are 66.70 and 71.63, respectively. We have considered Storytel'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
61.20
69.17
Expected Value
71.63
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Storytel stock data series using in forecasting. Note that when a statistical model is used to represent Storytel 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 Criteria120.572
BiasArithmetic mean of the errors None
MADMean absolute deviation2.8156
MAPEMean absolute percentage error0.0482
SAESum of the absolute errors171.7515
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Storytel AB historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Storytel

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Storytel 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 Storytel'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
58.7461.2063.66
Details
Intrinsic
Valuation
LowRealHigh
57.1259.5862.04
Details
Bollinger
Band Projection (param)
LowMiddleHigh
60.6961.0761.44
Details

Other Forecasting Options for Storytel

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

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

Storytel 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 Storytel'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 Storytel's current price.

Storytel Market Strength Events

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

Storytel Risk Indicators

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

Explore Investment Opportunities

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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Other Information on Investing in Storytel Stock

Storytel financial ratios help investors to determine whether Storytel Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Storytel with respect to the benefits of owning Storytel security.