Roma Green Stock Forward View - Simple Moving Average

ROMA Stock   5.12  -0.16  -3.03%   
This page documents Simple Moving Average forecast output for Roma Green Finance as reference data. The model is applied to historical closing prices and the resulting projection and error statistics are shown below.
The Simple Moving Average forecasted value of Roma Green Finance on the next trading day is expected to be 5.20 with a mean absolute deviation of 0.32 and the sum of the absolute errors of 18.59.The simple moving average model is conceptually a linear regression of the current value of Roma Green Finance price series against current and previous (unobserved) value of Roma Green. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future The Simple Moving Average reference information for Roma Green is based on available price data and is intended for informational purposes.
A two period moving average forecast for Roma Green is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

Simple Moving Average Price Forecast For the 20th of March

Given 90 days horizon, the Simple Moving Average forecasted value of Roma Green Finance on the next trading day is expected to be 5.20 with a mean absolute deviation of 0.32 , mean absolute percentage error of 0.25 , and the sum of the absolute errors of 18.59 .
Please note that although there have been many attempts to predict Roma Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Roma Green's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Stock Forecast Pattern

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Forecasted Value

For the next trading day, Macroaxis evaluates Roma Green's predictive range by looking for statistically meaningful downside and upside boundaries. Investors should still remember that no empirical framework consistently proves that one family of forecasting models will outperform all other approaches in live markets.
Market Value
5.12
5.20
Expected Value
21.60
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Roma Green stock data series using in forecasting. Note that when a statistical model is used to represent Roma Green 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 Criteria113.0526
BiasArithmetic mean of the errors -0.0763
MADMean absolute deviation0.3151
MAPEMean absolute percentage error0.1173
SAESum of the absolute errors18.59
The simple moving average model is conceptually a linear regression of the current value of Roma Green Finance price series against current and previous (unobserved) value of Roma Green. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Other Forecasting Options for Roma Green

Any investor evaluating Roma must grapple with the challenge of interpreting Roma Green's price movement accurately. Roma Stock price charts typically contain substantial noise that can complicate analysis and lead to poor decisions.

Roma Green Related Equities

The following equities are related to Roma Green within the Industrials space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Roma Green against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
 Risk & Return  Correlation

Roma Green Market Strength Events

Market strength indicators for Roma Green assess how the stock responds to ongoing changes in market conditions and investor sentiment. By monitoring these indicators, investors can identify the most opportune moments to trade Roma Green Finance.

Roma Green Risk Indicators

Risk indicator analysis for Roma Green is a critical component of accurate price forecasting and sound investment decision-making. By identifying how much risk is embedded in Roma Green's investment, investors can decide how to position and protect their exposure.
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.

Story Coverage note for Roma Green

Coverage intensity for Roma Green Finance matters because narrative visibility can influence sentiment, participation, and volatility around the name. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.

Roma Green Short Properties

Short sentiment tied to Roma Green Finance matters because heavier bearish pressure can change how quickly future price expectations become unstable. The stronger read compares short sentiment with trend behavior, volume, and the broader market narrative.
Common Stock Shares Outstanding8.1 M
Cash And Short Term Investments20.9 M

More Resources for Roma Stock Analysis

Reviewing Roma Green Finance commonly begins with financial statements and performance trends. Key ratios help frame profitability, efficiency, and growth context for Roma Green Finance Stock. Outlined below are key reports that provide context for Roma Green Finance Stock: