Securitas Pink Sheet Forecast - Simple Exponential Smoothing

SCTBF Stock  USD 16.00  0.00  0.00%   
The Simple Exponential Smoothing forecasted value of Securitas AB on the next trading day is expected to be 16.00 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.26. Securitas Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Securitas' historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 20th of January 2026 the relative strength index (rsi) of Securitas' share price is below 20 . This usually implies that the pink sheet is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards.

Momentum 0

 Sell Peaked

 
Oversold
 
Overbought
The successful prediction of Securitas' future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of Securitas and does not consider all of the tangible or intangible factors available from Securitas' fundamental data. We analyze noise-free headlines and recent hype associated with Securitas AB, which may create opportunities for some arbitrage if properly timed.
Using Securitas hype-based prediction, you can estimate the value of Securitas AB from the perspective of Securitas response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Securitas AB on the next trading day is expected to be 16.00 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.26.

Securitas after-hype prediction price

    
  USD 16.0  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Historical Fundamental Analysis of Securitas to cross-verify your projections.

Securitas Additional Predictive Modules

Most predictive techniques to examine Securitas price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Securitas using various technical indicators. When you analyze Securitas charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
Securitas simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for Securitas AB are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Securitas AB prices get older.

Securitas Simple Exponential Smoothing Price Forecast For the 21st of January

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Securitas AB on the next trading day is expected to be 16.00 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.01, and the sum of the absolute errors of 1.26.
Please note that although there have been many attempts to predict Securitas Pink Sheet 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 Securitas' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Securitas Pink Sheet Forecast Pattern

Backtest SecuritasSecuritas Price PredictionBuy or Sell Advice 

Securitas Forecasted Value

In the context of forecasting Securitas' Pink Sheet 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. Securitas' downside and upside margins for the forecasting period are 15.52 and 16.48, respectively. We have considered Securitas' 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
16.00
16.00
Expected Value
16.48
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Securitas pink sheet data series using in forecasting. Note that when a statistical model is used to represent Securitas pink sheet, 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 Criteria111.1181
BiasArithmetic mean of the errors -0.0167
MADMean absolute deviation0.021
MAPEMean absolute percentage error0.0013
SAESum of the absolute errors1.26
This simple exponential smoothing model begins by setting Securitas AB forecast for the second period equal to the observation of the first period. In other words, recent Securitas observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Securitas

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Securitas AB. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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
15.5216.0016.48
Details
Intrinsic
Valuation
LowRealHigh
15.3015.7816.26
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Securitas. Your research has to be compared to or analyzed against Securitas' peers to derive any actionable benefits. When done correctly, Securitas' 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 Securitas AB.

Other Forecasting Options for Securitas

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

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

Securitas AB Technical and Predictive Analytics

The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Securitas' 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 Securitas' current price.

Securitas Market Strength Events

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

Securitas Risk Indicators

The analysis of Securitas' 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 Securitas' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting securitas pink sheet 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.

Currently Active Assets on Macroaxis

Other Information on Investing in Securitas Pink Sheet

Securitas financial ratios help investors to determine whether Securitas Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Securitas with respect to the benefits of owning Securitas security.