SIVERS SEMICONDUCTORS Stock Forecast - Simple Moving Average
2DG Stock | EUR 0.47 0.03 6.82% |
The Simple Moving Average forecasted value of SIVERS SEMICONDUCTORS AB on the next trading day is expected to be 0.47 with a mean absolute deviation of 0.03 and the sum of the absolute errors of 1.52. SIVERS Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast SIVERS SEMICONDUCTORS stock prices and determine the direction of SIVERS SEMICONDUCTORS AB's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of SIVERS SEMICONDUCTORS's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of SIVERS SEMICONDUCTORS to cross-verify your projections. SIVERS |
Most investors in SIVERS SEMICONDUCTORS cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the SIVERS SEMICONDUCTORS's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets SIVERS SEMICONDUCTORS's price structures and extracts relationships that further increase the generated results' accuracy.
A two period moving average forecast for SIVERS SEMICONDUCTORS 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. SIVERS SEMICONDUCTORS Simple Moving Average Price Forecast For the 19th of May
Given 90 days horizon, the Simple Moving Average forecasted value of SIVERS SEMICONDUCTORS AB on the next trading day is expected to be 0.47 with a mean absolute deviation of 0.03, mean absolute percentage error of 0, and the sum of the absolute errors of 1.52.Please note that although there have been many attempts to predict SIVERS 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 SIVERS SEMICONDUCTORS's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
SIVERS SEMICONDUCTORS Stock Forecast Pattern
Backtest SIVERS SEMICONDUCTORS | SIVERS SEMICONDUCTORS Price Prediction | Buy or Sell Advice |
SIVERS SEMICONDUCTORS Forecasted Value
In the context of forecasting SIVERS SEMICONDUCTORS'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. SIVERS SEMICONDUCTORS's downside and upside margins for the forecasting period are 0 and 7.59, respectively. We have considered SIVERS SEMICONDUCTORS'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.
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 SIVERS SEMICONDUCTORS stock data series using in forecasting. Note that when a statistical model is used to represent SIVERS SEMICONDUCTORS 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 | 107.7991 |
Bias | Arithmetic mean of the errors | -0.0027 |
MAD | Mean absolute deviation | 0.0258 |
MAPE | Mean absolute percentage error | 0.057 |
SAE | Sum of the absolute errors | 1.52 |
Predictive Modules for SIVERS SEMICONDUCTORS
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SIVERS SEMICONDUCTORS. 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 SIVERS SEMICONDUCTORS'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.
Other Forecasting Options for SIVERS SEMICONDUCTORS
For every potential investor in SIVERS, whether a beginner or expert, SIVERS SEMICONDUCTORS's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. SIVERS Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in SIVERS. Basic forecasting techniques help filter out the noise by identifying SIVERS SEMICONDUCTORS's price trends.SIVERS SEMICONDUCTORS 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 SIVERS SEMICONDUCTORS stock to make a market-neutral strategy. Peer analysis of SIVERS SEMICONDUCTORS could also be used in its relative valuation, which is a method of valuing SIVERS SEMICONDUCTORS by comparing valuation metrics with similar companies.
Risk & Return | Correlation |
SIVERS SEMICONDUCTORS 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 SIVERS SEMICONDUCTORS'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 SIVERS SEMICONDUCTORS's current price.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
SIVERS SEMICONDUCTORS Market Strength Events
Market strength indicators help investors to evaluate how SIVERS SEMICONDUCTORS stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading SIVERS SEMICONDUCTORS shares will generate the highest return on investment. By undertsting and applying SIVERS SEMICONDUCTORS stock market strength indicators, traders can identify SIVERS SEMICONDUCTORS AB entry and exit signals to maximize returns.
Daily Balance Of Power | 9.2 T | |||
Rate Of Daily Change | 1.07 | |||
Day Median Price | 0.47 | |||
Day Typical Price | 0.47 | |||
Price Action Indicator | 0.015 | |||
Period Momentum Indicator | 0.03 |
SIVERS SEMICONDUCTORS Risk Indicators
The analysis of SIVERS SEMICONDUCTORS'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 SIVERS SEMICONDUCTORS's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sivers 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 | 4.73 | |||
Semi Deviation | 5.68 | |||
Standard Deviation | 7.06 | |||
Variance | 49.82 | |||
Downside Variance | 52.22 | |||
Semi Variance | 32.21 | |||
Expected Short fall | (6.66) |
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
Check out Historical Fundamental Analysis of SIVERS SEMICONDUCTORS to cross-verify your projections. You can also try the Fundamental Analysis module to view fundamental data based on most recent published financial statements.
Complementary Tools for SIVERS Stock analysis
When running SIVERS SEMICONDUCTORS's price analysis, check to measure SIVERS SEMICONDUCTORS'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 SIVERS SEMICONDUCTORS is operating at the current time. Most of SIVERS SEMICONDUCTORS's value examination focuses on studying past and present price action to predict the probability of SIVERS SEMICONDUCTORS's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SIVERS SEMICONDUCTORS's price. Additionally, you may evaluate how the addition of SIVERS SEMICONDUCTORS to your portfolios can decrease your overall portfolio volatility.
Portfolio Holdings Check your current holdings and cash postion to detemine if your portfolio needs rebalancing | |
Balance Of Power Check stock momentum by analyzing Balance Of Power indicator and other technical ratios | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
Share Portfolio Track or share privately all of your investments from the convenience of any device | |
Transaction History View history of all your transactions and understand their impact on performance | |
Companies Directory Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals | |
Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities |