Brera Holdings Stock Forecast - Simple Exponential Smoothing
| SLMT Stock | 2.02 0.00 0.00% |
The Simple Exponential Smoothing forecasted value of Brera Holdings PLC on the next trading day is expected to be 2.02 with a mean absolute deviation of 0.71 and the sum of the absolute errors of 42.79. Brera Stock Forecast is based on your current time horizon.
At this time, Brera Holdings' Receivables Turnover is comparatively stable compared to the past year. Asset Turnover is likely to gain to 0.56 in 2025, whereas Inventory Turnover is likely to drop 14.64 in 2025. . Common Stock Shares Outstanding is likely to drop to about 889.3 K in 2025. Brera Holdings Simple Exponential Smoothing Price Forecast For the 30th of December
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Brera Holdings PLC on the next trading day is expected to be 2.02 with a mean absolute deviation of 0.71, mean absolute percentage error of 1.34, and the sum of the absolute errors of 42.79.Please note that although there have been many attempts to predict Brera 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 Brera Holdings' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Brera Holdings Stock Forecast Pattern
| Backtest Brera Holdings | Brera Holdings Price Prediction | Buy or Sell Advice |
Brera Holdings Forecasted Value
In the context of forecasting Brera Holdings' 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. Brera Holdings' downside and upside margins for the forecasting period are 0.02 and 13.97, respectively. We have considered Brera Holdings' 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.
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 Brera Holdings stock data series using in forecasting. Note that when a statistical model is used to represent Brera Holdings 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.| AIC | Akaike Information Criteria | 116.562 |
| Bias | Arithmetic mean of the errors | 0.3811 |
| MAD | Mean absolute deviation | 0.7131 |
| MAPE | Mean absolute percentage error | 0.1025 |
| SAE | Sum of the absolute errors | 42.785 |
Predictive Modules for Brera Holdings
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Brera Holdings PLC. 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.Other Forecasting Options for Brera Holdings
For every potential investor in Brera, whether a beginner or expert, Brera Holdings' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Brera Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Brera. Basic forecasting techniques help filter out the noise by identifying Brera Holdings' price trends.Brera Holdings 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 Brera Holdings stock to make a market-neutral strategy. Peer analysis of Brera Holdings could also be used in its relative valuation, which is a method of valuing Brera Holdings by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Brera Holdings PLC 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 Brera Holdings' 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 Brera Holdings' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Brera Holdings Market Strength Events
Market strength indicators help investors to evaluate how Brera Holdings stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Brera Holdings shares will generate the highest return on investment. By undertsting and applying Brera Holdings stock market strength indicators, traders can identify Brera Holdings PLC entry and exit signals to maximize returns.
| Accumulation Distribution | 0.061 | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 2.07 | |||
| Day Typical Price | 2.05 | |||
| Market Facilitation Index | 0.13 | |||
| Price Action Indicator | (0.04) | |||
| Relative Strength Index | 23.88 |
Brera Holdings Risk Indicators
The analysis of Brera Holdings' 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 Brera Holdings' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting brera 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.
| Mean Deviation | 7.82 | |||
| Standard Deviation | 12.2 | |||
| Variance | 148.92 |
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.
Thematic Opportunities
Explore Investment Opportunities
Additional Tools for Brera Stock Analysis
When running Brera Holdings' price analysis, check to measure Brera Holdings' 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 Brera Holdings is operating at the current time. Most of Brera Holdings' value examination focuses on studying past and present price action to predict the probability of Brera Holdings' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Brera Holdings' price. Additionally, you may evaluate how the addition of Brera Holdings to your portfolios can decrease your overall portfolio volatility.