Intrusion Stock Forecast - 4 Period Moving Average

INTZ Stock  USD 0.40  0.00  0.000002%   
The 4 Period Moving Average forecasted value of Intrusion on the next trading day is expected to be 0.41 with a mean absolute deviation of 0.04 and the sum of the absolute errors of 2.53. Intrusion Stock Forecast is based on your current time horizon.
  
Receivables Turnover is likely to rise to 16.19 in 2024, despite the fact that Inventory Turnover is likely to grow to (3.39). . Common Stock Shares Outstanding is likely to drop to about 1.2 M in 2024. Net Loss is likely to rise to about (13.9 M) in 2024.
A four-period moving average forecast model for Intrusion 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.

Intrusion 4 Period Moving Average Price Forecast For the 24th of December

Given 90 days horizon, the 4 Period Moving Average forecasted value of Intrusion on the next trading day is expected to be 0.41 with a mean absolute deviation of 0.04, mean absolute percentage error of 0, and the sum of the absolute errors of 2.53.
Please note that although there have been many attempts to predict Intrusion 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 Intrusion's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Intrusion Stock Forecast Pattern

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Intrusion Forecasted Value

In the context of forecasting Intrusion'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. Intrusion's downside and upside margins for the forecasting period are 0 and 5.22, respectively. We have considered Intrusion'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
0.40
0.41
Expected Value
5.22
Upside

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 Intrusion stock data series using in forecasting. Note that when a statistical model is used to represent Intrusion 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 Criteria104.9113
BiasArithmetic mean of the errors 0.0202
MADMean absolute deviation0.0443
MAPEMean absolute percentage error0.0695
SAESum of the absolute errors2.5275
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 Intrusion. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Intrusion and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Intrusion

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Intrusion. 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 Intrusion'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
0.020.305.12
Details
Intrinsic
Valuation
LowRealHigh
0.051.055.87
Details
2 Analysts
Consensus
LowTargetHigh
2.733.003.33
Details
Earnings
Estimates (0)
LowProjected EPSHigh
-0.39-0.39-0.39
Details

Other Forecasting Options for Intrusion

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

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 Risk & Return  Correlation

Intrusion 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 Intrusion'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 Intrusion's current price.

Intrusion Market Strength Events

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

Intrusion Risk Indicators

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

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Additional Tools for Intrusion Stock Analysis

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