SEVEN GROUP Stock Forecast - 8 Period Moving Average

SVW Stock   44.91  0.39  0.86%   
The 8 Period Moving Average forecasted value of SEVEN GROUP HOLDINGS on the next trading day is expected to be 45.63 with a mean absolute deviation of 1.17 and the sum of the absolute errors of 61.88. SEVEN Stock Forecast is based on your current time horizon.
  
At this time, SEVEN GROUP's Accounts Payable is comparatively stable compared to the past year. Non Current Assets Total is likely to gain to about 9.7 B in 2024, whereas Cash And Short Term Investments are likely to drop slightly above 369.6 M in 2024.
An 8-period moving average forecast model for SEVEN GROUP is based on an artificially constructed time series of SEVEN GROUP daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

SEVEN GROUP 8 Period Moving Average Price Forecast For the 22nd of December

Given 90 days horizon, the 8 Period Moving Average forecasted value of SEVEN GROUP HOLDINGS on the next trading day is expected to be 45.63 with a mean absolute deviation of 1.17, mean absolute percentage error of 2.01, and the sum of the absolute errors of 61.88.
Please note that although there have been many attempts to predict SEVEN 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 SEVEN GROUP's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

SEVEN GROUP Stock Forecast Pattern

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SEVEN GROUP Forecasted Value

In the context of forecasting SEVEN GROUP'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. SEVEN GROUP's downside and upside margins for the forecasting period are 44.33 and 46.94, respectively. We have considered SEVEN GROUP'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
44.91
45.63
Expected Value
46.94
Upside

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 SEVEN GROUP stock data series using in forecasting. Note that when a statistical model is used to represent SEVEN GROUP 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 Criteria104.1044
BiasArithmetic mean of the errors -0.1777
MADMean absolute deviation1.1675
MAPEMean absolute percentage error0.0255
SAESum of the absolute errors61.8763
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. SEVEN GROUP HOLDINGS 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for SEVEN GROUP

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SEVEN GROUP HOLDINGS. 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.
Hype
Prediction
LowEstimatedHigh
43.6644.9746.28
Details
Intrinsic
Valuation
LowRealHigh
43.9345.2446.55
Details
Bollinger
Band Projection (param)
LowMiddleHigh
44.0247.5851.13
Details

Other Forecasting Options for SEVEN GROUP

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

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

SEVEN GROUP HOLDINGS 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 SEVEN GROUP'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 SEVEN GROUP's current price.

SEVEN GROUP Market Strength Events

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

SEVEN GROUP Risk Indicators

The analysis of SEVEN GROUP'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 SEVEN GROUP's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting seven 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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Additional Tools for SEVEN Stock Analysis

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