Castellum Stock Forecast - 4 Period Moving Average

CTM Stock  USD 0.16  0.01  5.88%   
The 4 Period Moving Average forecasted value of Castellum on the next trading day is expected to be 0.16 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.31. Castellum Stock Forecast is based on your current time horizon. Although Castellum's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Castellum's systematic risk associated with finding meaningful patterns of Castellum fundamentals over time.
  
At this time, Castellum's Inventory Turnover is very stable compared to the past year. As of the 25th of November 2024, Payables Turnover is likely to grow to 35.54, while Receivables Turnover is likely to drop 3.91. . As of the 25th of November 2024, Common Stock Shares Outstanding is likely to grow to about 49.5 M, though Net Loss is likely to grow to (12.8 M).
A four-period moving average forecast model for Castellum 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.

Castellum 4 Period Moving Average Price Forecast For the 26th of November

Given 90 days horizon, the 4 Period Moving Average forecasted value of Castellum on the next trading day is expected to be 0.16 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.000064, and the sum of the absolute errors of 0.31.
Please note that although there have been many attempts to predict Castellum 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 Castellum's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Castellum Stock Forecast Pattern

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Castellum Forecasted Value

In the context of forecasting Castellum'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. Castellum's downside and upside margins for the forecasting period are 0 and 4.97, respectively. We have considered Castellum'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
0.16
0.16
Expected Value
4.97
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 Castellum stock data series using in forecasting. Note that when a statistical model is used to represent Castellum 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 Criteria101.096
BiasArithmetic mean of the errors 1.0E-4
MADMean absolute deviation0.0054
MAPEMean absolute percentage error0.0326
SAESum of the absolute errors0.31
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 Castellum. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Castellum and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Castellum

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Castellum. 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 Castellum'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
0.010.164.97
Details
Intrinsic
Valuation
LowRealHigh
0.020.465.27
Details
1 Analysts
Consensus
LowTargetHigh
1.271.401.55
Details

Other Forecasting Options for Castellum

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

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 Risk & Return  Correlation

Castellum 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 Castellum'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 Castellum's current price.

Castellum Market Strength Events

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

Castellum Risk Indicators

The analysis of Castellum'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 Castellum's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting castellum 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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When determining whether Castellum is a strong investment it is important to analyze Castellum's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Castellum's future performance. For an informed investment choice regarding Castellum Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of Castellum to cross-verify your projections.
To learn how to invest in Castellum Stock, please use our How to Invest in Castellum guide.
You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
Is Application Software space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Castellum. If investors know Castellum will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Castellum listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
(0.17)
Revenue Per Share
0.886
Quarterly Revenue Growth
(0.08)
Return On Assets
(0.14)
Return On Equity
(1.02)
The market value of Castellum is measured differently than its book value, which is the value of Castellum that is recorded on the company's balance sheet. Investors also form their own opinion of Castellum's value that differs from its market value or its book value, called intrinsic value, which is Castellum's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Castellum's market value can be influenced by many factors that don't directly affect Castellum's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Castellum's value and its price as these two are different measures arrived at by different means. Investors typically determine if Castellum is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Castellum's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.