Spark Networks Stock Forecast - 4 Period Moving Average

A four-period moving average forecast model for Spark Networks SE 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.

Spark Networks 4 Period Moving Average Price Forecast For the 20th of April

Given 90 days horizon, the 4 Period Moving Average forecasted value of Spark Networks SE on the next trading day is expected to be 0.02 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.0007, and the sum of the absolute errors of 1.08.

Spark Networks Stock Forecast Pattern

Backtest Spark Networks

Spark Networks Price Prediction

Buy or Sell Advice

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 Spark Networks stock data series using in forecasting. Note that when a statistical model is used to represent Spark Networks 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. The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Spark Networks. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Spark Networks SE and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Spark Networks

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Spark Networks SE. 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 Low Estimated High 0.01 0.01 0.01 Details

Intrinsic Valuation Low Real High 0.01 0.01 0.01 Details

Bollinger Band Projection (param) Low Middle High 0 0.02 0.03 Details

Please note, it is not enough to conduct a financial or market analysis of a single entity such as Spark Networks. Your research has to be compared to or analyzed against Spark Networks' peers to derive any actionable benefits. When done correctly, Spark Networks' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Spark Networks SE.

Spark Networks Related Equities

Risk & Return

Correlation

Spark Networks Market Strength Events

Other Consideration for investing in Spark Stock