Qurate Retail Stock Forecast - 4 Period Moving Average
| LB3A Stock | EUR 0.91 0.02 2.15% |
The 4 Period Moving Average forecasted value of Qurate Retail Series on the next trading day is expected to be 0.92 with a mean absolute deviation of 0.05 and the sum of the absolute errors of 3.01. Qurate Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Qurate Retail stock prices and determine the direction of Qurate Retail Series's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Qurate Retail's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Qurate Retail to cross-verify your projections. Qurate |
Most investors in Qurate Retail cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Qurate Retail's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Qurate Retail's price structures and extracts relationships that further increase the generated results' accuracy.
A four-period moving average forecast model for Qurate Retail Series is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility. Qurate Retail 4 Period Moving Average Price Forecast For the 20th of April
Given 90 days horizon, the 4 Period Moving Average forecasted value of Qurate Retail Series on the next trading day is expected to be 0.92 with a mean absolute deviation of 0.05, mean absolute percentage error of 0, and the sum of the absolute errors of 3.01.Please note that although there have been many attempts to predict Qurate 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 Qurate Retail's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Qurate Retail Stock Forecast Pattern
| Backtest Qurate Retail | Qurate Retail Price Prediction | Buy or Sell Advice |
Qurate Retail Forecasted Value
In the context of forecasting Qurate Retail'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. Qurate Retail's downside and upside margins for the forecasting period are 0.01 and 5.75, respectively. We have considered Qurate Retail'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 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Qurate Retail stock data series using in forecasting. Note that when a statistical model is used to represent Qurate Retail 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 | 107.2432 |
| Bias | Arithmetic mean of the errors | -0.0062 |
| MAD | Mean absolute deviation | 0.0519 |
| MAPE | Mean absolute percentage error | 0.0498 |
| SAE | Sum of the absolute errors | 3.0125 |
Predictive Modules for Qurate Retail
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Qurate Retail Series. 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 Qurate Retail'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.
Other Forecasting Options for Qurate Retail
For every potential investor in Qurate, whether a beginner or expert, Qurate Retail's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Qurate Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Qurate. Basic forecasting techniques help filter out the noise by identifying Qurate Retail's price trends.Qurate Retail 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 Qurate Retail stock to make a market-neutral strategy. Peer analysis of Qurate Retail could also be used in its relative valuation, which is a method of valuing Qurate Retail by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Qurate Retail Series 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 Qurate Retail'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 Qurate Retail's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Qurate Retail Market Strength Events
Market strength indicators help investors to evaluate how Qurate Retail stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Qurate Retail shares will generate the highest return on investment. By undertsting and applying Qurate Retail stock market strength indicators, traders can identify Qurate Retail Series entry and exit signals to maximize returns.
| Daily Balance Of Power | (9,223,372,036,855) | |||
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 0.91 | |||
| Day Typical Price | 0.91 | |||
| Price Action Indicator | (0.01) | |||
| Period Momentum Indicator | (0.02) |
Qurate Retail Risk Indicators
The analysis of Qurate Retail'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 Qurate Retail's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting qurate 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 | 3.76 | |||
| Semi Deviation | 3.42 | |||
| Standard Deviation | 4.74 | |||
| Variance | 22.45 | |||
| Downside Variance | 14.73 | |||
| Semi Variance | 11.72 | |||
| Expected Short fall | (5.14) |
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 Qurate Retail to cross-verify your projections. Note that the Qurate Retail Series information on this page should be used as a complementary analysis to other Qurate Retail's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
Complementary Tools for Qurate Stock analysis
When running Qurate Retail's price analysis, check to measure Qurate Retail'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 Qurate Retail is operating at the current time. Most of Qurate Retail's value examination focuses on studying past and present price action to predict the probability of Qurate Retail's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Qurate Retail's price. Additionally, you may evaluate how the addition of Qurate Retail to your portfolios can decrease your overall portfolio volatility.
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